From 0965581da34873b512b39e3308fdea68aff4707e Mon Sep 17 00:00:00 2001 From: Nermina Miller Date: Thu, 23 Feb 2023 02:01:47 -0500 Subject: [PATCH 01/37] Updates RedisInsight docs, adds new sections --- docs/stack/about/index.md | 2 +- docs/ui/insight/_index.md | 109 +----------------- ...insight-stream-consumer.md => examples.md} | 103 +++++++++++------ docs/ui/insight/get-started.md | 92 +++++++++++++++ .../{tutorials => }/images/consumer.png | Bin .../images/insight_streams.png | Bin .../insight/{tutorials => }/images/stream.png | Bin docs/ui/insight/tools.md | 109 ++++++++++++++++++ 8 files changed, 273 insertions(+), 142 deletions(-) rename docs/ui/insight/{tutorials/insight-stream-consumer.md => examples.md} (70%) create mode 100644 docs/ui/insight/get-started.md rename docs/ui/insight/{tutorials => }/images/consumer.png (100%) rename docs/ui/insight/{tutorials => }/images/insight_streams.png (100%) rename docs/ui/insight/{tutorials => }/images/stream.png (100%) create mode 100644 docs/ui/insight/tools.md diff --git a/docs/stack/about/index.md b/docs/stack/about/index.md index 3f523ebc..5c65aa73 100644 --- a/docs/stack/about/index.md +++ b/docs/stack/about/index.md @@ -31,7 +31,7 @@ to help you build modern applications where performance is paramount. ## RedisInsight -The best way to get started with Redis Stack is with [RedisInsight](https://docs.redis.com/latest/ri/), a visualization tool for understanding and optimizing Redis data. +The best way to get started with Redis Stack is with [RedisInsight](/docs/ui/insight), a visualization tool for understanding and optimizing Redis data. RedisInsight allows you to: * View data structures visually with the Browser tool and group keys according to their namespaces. diff --git a/docs/ui/insight/_index.md b/docs/ui/insight/_index.md index ba8ae695..a566ba0c 100644 --- a/docs/ui/insight/_index.md +++ b/docs/ui/insight/_index.md @@ -2,7 +2,7 @@ title: RedisInsight linkTitle: RedisInsight description: Visualize and optimize Redis data -weight: 3 +weight: 30 alias: - /docs/stack/insight --- @@ -12,111 +12,6 @@ alias: RedisInsight is a powerful tool for visualizing and optimizing data in Redis or Redis Stack, making real-time application development easier and more fun than ever before. RedisInsight lets you do both GUI- and CLI-based interactions in a fully-featured desktop GUI client. -### Download the latest RedisInsight - -* Download the latest RedisInsight [here](https://redis.com/redis-enterprise/redis-insight/) -* [RedisInsight Release Notes](https://github.com/RedisInsight/RedisInsight/releases) - -## Overview - -### Connection management - -* Automatically discover and add your local Redis or Redis Stack databases (that use standalone connection type and do not require authentication). -* Discover your databases in Redis Enterprise Cluster and databases with Flexible plans in Redis Cloud. -* Use a form to enter your connection details and add any Redis database running anywhere (including OSS Cluster, Sentinel). - - - -### Browser - -Browse, filter and visualize your key-value Redis data structures. -* [CRUD](https://en.wikipedia.org/wiki/Create,_read,_update_and_delete) support for lists, hashes, strings, sets, sorted sets, and streams -* CRUD support for [RedisJSON](/docs/stack/json) -* Group keys according to their namespaces - - - -* View, validate, and manage your key values in a human-readable format using formatters that prettify and highlight data in different formats (for example, Unicode, JSON, MessagePack, HEX, and ASCII) in the Browser tool. - - - -### Profiler - -Analyze every command sent to Redis in real time. - - - -### CLI - -The CLI is accessible at any time within the application. -* Employs integrated help to deliver intuitive assistance -* Use together with a convenient command helper that lets you search and read on Redis commands. - - - -### Workbench - -Advanced command line interface with intelligent command auto-complete and complex data visualizations. -* Built-in guides: you can conveniently discover Redis and Redis Stack capabilities using the built-in guides. -* Command auto-complete support for all capabilities in Redis and Redis Stack. -* Visualizations of your [RediSearch](https://oss.redis.com/redisearch/) index, queries, and aggregations. -* Visualizations of your [RedisGraph](https://oss.redis.com/redisgraph/). - - - -* Visualizations of your [RedisTimeSeries](https://oss.redis.com/redistimeseries/) data. - - - -## Tools - -### Database analysis - -Use the database analysis tool to optimize the performance and memory usage of your Redis database. Check data type distribution and memory allocation and review the summary of key expiration time and memory to be freed over time. Inspect the top keys and namespaces sorted by consumed memory or key length and count of keys, respectively. Capture and track the changes in your database by viewing historical analysis reports. Next figure shows a sample database analysis report. - - - -### Redis Streams support - -Create and manage streams by adding, removing, and filtering entries per timestamp. To see and work with new entries, enable and customize the automatic refresh rate. - -View and manage the list of consumer groups. See existing consumers in a given consumer name as well as the last messages delivered to them. Inspect the list of pending messages, explicitly acknowledge the processed items, or claim unprocessed messages via RedisInsight. - - - -### Search capabilities - -If you're using Redis Stack's indexing, querying, or full-text search capabilities, RedisInsight provides UI controls to quickly and conveniently run search queries against a preselected index. You can also create a secondary index of your data in a dedicated pane. - - - -### Bulk actions - -Easily and quickly delete multiple keys of the same type and/or with the same key name pattern in bulk. To do so, in the List or Tree view, set filters per key type or key names and open the Bulk Actions section. The section displays a summary of all the keys with the expected number of keys that will be deleted based on the set filters. - -When the bulk deletion is completed, RedisInsight displays the results of this operation with the number of keys processed and the time taken to delete the keys in bulk. -Use bulk deletion to optimize the usage of your database based on the results from the Redis database analysis. - - - -### Slow Log - -The Slow Log tool displays the list of logs captured by the SLOWLOG command to analyze all commands that exceed a specified runtime, which helps with troubleshooting performance issues. Specify both the runtime and the maximum length of Slowlog (which are server configurations) to configure the list of commands logged and set the auto-refresh interval to automatically update the list of commands displayed. - - - -## Plugins - -With RedisInsight you can now also extend the core functionality by building your own data visualizations. See our [plugin documentation](https://github.com/RedisInsight/RedisInsight/wiki/Plugin-Documentation) for more information. - -## Telemetry - -RedisInsight includes an opt-in telemetry system. This help us improve the developer experience of the app. We value your privacy; all collected data is anonymized. - -## Feedback - To provide your feedback, [open a ticket in our RedisInsight repository](https://github.com/RedisInsight/RedisInsight/issues/new). -## License - -RedisInsight is licensed under [SSPL](https://github.com/RedisInsight/RedisInsight/blob/main/LICENSE) license. +RedisInsight is licensed under [SSPL](https://github.com/RedisInsight/RedisInsight/blob/main/LICENSE) license. \ No newline at end of file diff --git a/docs/ui/insight/tutorials/insight-stream-consumer.md b/docs/ui/insight/examples.md similarity index 70% rename from docs/ui/insight/tutorials/insight-stream-consumer.md rename to docs/ui/insight/examples.md index 12bf2ce6..28344845 100644 --- a/docs/ui/insight/tutorials/insight-stream-consumer.md +++ b/docs/ui/insight/examples.md @@ -1,17 +1,54 @@ --- -title: "Manage streams and consumer groups in RedisInsight" -linkTitle: Streams -description: Learn how to manage streams and consumer groups in RedisInsight -weight: 1 +title: "RedisInsight examples" +linkTitle: Examples +description: +weight: 60 --- + +RedisInsight allows you to browse, filter, and visualize key-value Redis data structures. It supports CRUD operation for lists, hashes, strings, sets, sorted sets, and so on. You can take advantage of built-in examples in Workbench to learn about the data structures. We'll guide you through one of those examples here and show you other practical ways to use RedisInsight with your databases. + +## Use RedisInsight to manage time series + +Examples you find in Workbench allow you interact with some sample data in a few taps. For this orientation, we will use an example called _Redis for time series_. Navigate to this title, read the introduction, then tap the first button to create five time series for bike shops. + +**Step 1: Create a time series per bike shop** + +```bash + TS.CREATE bike_sales_1 DUPLICATE_POLICY SUM LABELS region east compacted no + TS.CREATE bike_sales_2 DUPLICATE_POLICY SUM LABELS region east compacted no + TS.CREATE bike_sales_3 DUPLICATE_POLICY SUM LABELS region west compacted no + TS.CREATE bike_sales_4 DUPLICATE_POLICY SUM LABELS region west compacted no + TS.CREATE bike_sales_5 DUPLICATE_POLICY SUM LABELS region west compacted no +``` + +This creates a time series per shop, tracking the total amount of all sales. As you can tell from the labels, each time series is marked `east` or `west` to query bike sales by time periods, shop, region, or across all shops. +Each shop has a numbered id. We also add the `DUPLICATE_POLICY SUM` argument to describe what should be done when two events in the same time series share the same timestamp. + +Here, we assume two sales happen at exactly the same time, resulting in a value that is the sum of two sales values. +If you're running this example from your command line, you'll see Redis `OK` responses. But, you can also follow along in Workbench by tapping the right arrow. + +Because the metrics are collected with a millisecond timestamp, you can compact the time series into sales per hour. + +**Step 2: Compact time series** + +Redis Stack supports downsampling with these aggregations: `avg`, `sum`, `min`, `max`, `range`, `count`, `first`, and `last`. If you want to keep all of your raw data points indefinitely, your data set grows linearly over time. However, if your use case allows you to have less fine-grained data further back in time, you can apply downsampling. This allows you to keep fewer historical data points by aggregating raw data for a given time window using a given aggregation function. + +``` + TS.CREATERULE bike_sales_5 bike_sales_5_per_day AGGREGATION sum 86400000 +``` + +Try other data structure examples in Workbench and let us know if you'd like to contribute your own examples. + +## Use RedisInsight to manage streams and consumer groups + A _stream_ is an append-only log file. When you add data to it, you cannot change it. That may seem like a disadvantage; however, a stream serves as a log or single source of truth. It can also be used as a buffer between processes that work at different speeds and do not need to know about each other. For more conceptual information about streams, see [Redis Streams](/docs/manual/data-types/streams). -In this topic, you will learn how to add and work with streams as well as consumer groups in RedisInsight. +In this example, you will learn how to add and work with streams as well as consumer groups in RedisInsight. Here's a stream that models temperature and humidity sensors. Processes interacting with the stream perform one of two roles: _consumer_ and _producer_. The point of a stream is that it's not going to end, so you cannot capture whole datasets and do some processing on them. @@ -22,7 +59,6 @@ For example, if the temperature is above a certain threshold, it puts a message - It is possible to have multiple consumers doing different jobs, one measuring humidity, and another taking temperature measurements over periods of time. Redis stores a copy of the entire dataset in memory, which is a finite resource. To avoid runaway data, streams can be trimmed when you add something to them. @@ -30,19 +66,19 @@ When adding to a stream with `XADD`, you can optionally specify that the stream You can also manage the storage required for streaming data using key expiry. For example, by writing each day's data to its own stream in Redis and expiring each stream's key after a period of time, say a week. An ID can be any number, but each new entry in the stream must have an ID whose value is higher than the last ID added to the stream. -## Adding new entries +**Adding new entries** Use `XADD` with `*` for the ID to have Redis automatically generate a new ID for you consisting of a millisecond precision timestamp, a dash and a sequence number. For example `1656416957625-0`. Then supply the field names and values to store in the new stream entry. There are a couple of ways of retrieving things. You can retrieve entries by time range or you could ask for everything that's happened since a timestamp or ID that you specify. Using a single command you can ask for anything from 10:30 until 11:15 am on a given day. -## Consumer groups +**Using consumer groups** A more realistic use case would be a system with many temperature sensors whose data Redis puts in a stream, records the time they arrive, and orders them. -On the right side we have two consumers that read the stream. One of them is alerting if the temperature is over a certain number and texting the maintenance crew that they need to do something, and the other is a data warehouse that is taking the data and putting it into a database. +On the right side, we have two consumers that read the stream. One of them is alerting if the temperature is over a certain number and texting the maintenance crew that they need to do something, and the other is a data warehouse that is taking the data and putting it into a database. They run independently of each other. Up in the right, we have another sort of task. @@ -51,7 +87,7 @@ You get a message whether the temperature is larger than a specific value, which And alerting can keep up with the data flow. One way you can scale consumers is _consumer groups_, which allows multiple instances of the same consumer or same code to work as a team to process the stream. -## Managing streams in RedisInsight +**Managing streams in RedisInsight** You can add a stream in RedisInsight in two ways: create a new stream or add to an existing stream. @@ -66,11 +102,11 @@ Now you have a stream that appears in the **Streams** view and you can continue RedisInsight runs read commands for you so you can see the stream entries in the **Streams** view. And the **Consumer Groups** view shows each consumers in a given consumer group and the last time Redis allocated a message, what the ID of it was and how many times that process has happened, and whether a consumer has you have told Redis that you are finished working with that task using the `XACK` command. -## Monitor temperature and humidity from sensors in RedisInsight +### Monitor temperature and humidity from sensors in RedisInsight This example shows how to bring an existing stream into RedisInsight and work with it. -### Setup +**Step 1: Setup** 1. Install [RedisInsight](https://redis.com/redis-enterprise/redis-insight/?_ga=2.48624486.1318387955.1655817244-1963545967.1655260674#insight-form). 2. Download and install [Node.js](https://nodejs.org/en/download/) (LTS version). @@ -83,11 +119,11 @@ See the [README](https://github.com/redis-developer/introducing-redis-talk/tree/ npm install {{< / highlight >}} -### Run the producer +**Step 2: Run the producer** To start the producer, which will add a new entry to the stream every few seconds, enter: -{{< highlight bash >}} +``` npm run producer > streams@1.0.0 producer @@ -99,17 +135,17 @@ Added as 1632771056648-0 Adding reading for location: 96, temperature: 15.4, humidity: 70 Added as 1632771059039-0 ... -{{< / highlight >}} +``` The producer runs indefinitely. Select `Ctrl+C` to stop it. You can start multiple instances of the producer if you want to add entries to the stream faster. -### Run the consumer +**Step 3: Run the consumer** To start the consumer, which reads from the stream every few seconds, enter: -{{< highlight bash >}} +``` npm run consumer > streams@1.0.0 consumer @@ -124,29 +160,29 @@ Finished working with entry 1632771056648-0 Reading stream... Received entry 1632771059039-0: [ 'location', '96', 'temp', '15.4', 'humidity', '70' ] -{{< / highlight >}} +``` The consumer stores the last entry ID that it read in a Redis string at the key `consumer:lastid`. It uses this string to pick up from where it left off after it is restarted. Try this out by stopping it with `Ctrl+C` and restarting it. Once the consumer has processed every entry in the stream, it will wait indefinitely for instances of the producer to add more: -{{< highlight bash >}} +``` Reading stream... No new entries since entry 1632771060229-0. Reading stream... No new entries since entry 1632771060229-0. Reading stream... -{{< / highlight >}} +``` Stop it using `Ctrl+C`. -### Run a consumer group +**Step 4: Run a consumer group** A consumer group consists of multiple consumer instances working together. Redis manages allocation of entries read from the stream to members of a consumer group. A consumer in a group will receive a subset of the entries, with the group as a whole receiving all of them. When working in a consumer group, a consumer process must acknowledge receipt/processing of each entry. Using multiple terminal windows, start three instances of the consumer group consumer, giving each a unique name: -{{< highlight bash >}} +``` npm run consumergroup consumer1 > streams@1.0.0 consumergroup @@ -159,41 +195,40 @@ Received entry 1632771059039-0: [ 'location', '96', 'temp', '15.4', 'humidity', '70' ] Acknowledged processing of entry 1632771059039-0. Reading stream... -{{< / highlight >}} +``` In a second terminal: -{{< highlight bash >}} +``` npm run consumergroup consumer2 -{{< / highlight >}} +``` And in a third: -{{< highlight bash >}} +``` npm run consumergroup consumer3 -{{< / highlight >}} +``` The consumers will run indefinitely, waiting for new messages to be added to the stream by a producer instance when they have collectively consumed the entire stream. Note that in this model, each consumer instance does not receive all of the entries from the stream, but the three members of the group each receive a subset. -### View the stream in RedisInsight +**Step 5: View the stream in RedisInsight** 1. Launch RedisInsight. -2. Select `localhost:6379` -3. Select **STREAM**. Optionally, select full screen from the upper right corner to expand the view. +1. Select `localhost:6379` +1. Select **STREAM**. Optionally, select full screen from the upper right corner to expand the view. - You can now toggle between **Stream** and **Consumer Groups** views to see your data. -As mentioned earlier in this topic, a stream is an append-only log so you can't modify the contents of an entry, but you can delete an entire entry. +As mentioned earlier in this example, a stream is an append-only log so you can't modify the contents of an entry, but you can delete an entire entry. A case when that's useful is in the event of a so-called _poison-pill message_ that can cause consumers to crash. You can physically remove such messages in the **Streams** view or use the `XDEL` command at the command-line interface (CLI). You can continue interacting with your stream at the CLI. For example, to get the current length of a stream, use the `XLEN` command: -{{< highlight bash >}} +``` XLEN ingest:temphumidity -{{< / highlight >}} +``` Use streams for auditing and processing events in banking, gaming, supply chain, IoT, social media, and so on. diff --git a/docs/ui/insight/get-started.md b/docs/ui/insight/get-started.md new file mode 100644 index 00000000..6d0c194a --- /dev/null +++ b/docs/ui/insight/get-started.md @@ -0,0 +1,92 @@ +--- +title: Get started with RedisInsight +linkTitle: Get started +description: Get started with RedisInsight +weight: 40 + +--- + +RedisInsight is available as a [standalone download](https://redis.com/redis-enterprise/redis-insight/) or [bundled with Redis Stack](/docs/stack/get-started/install). Install it and try the in-app examples available in Workbench. + + +## Install RedisInsight + +You can use RedisInsight on MacOS, Linux, or Windows. + +**Install on MacOS** + +Redis offers RedisInsight on Intel and M1. + +1. Download [RedisInsinght](https://redis.com/redis-enterprise/redis-insight) or [Redis Stack](/docs/stack/get-started/install/mac-os). + +1. Add RedisInsight to **Applications**. + +1. From your Terminal, run this command. + +``` +redisinsight +``` + +To resume your journey, [start Redis Stack Server](#start-redis-stack-server). + +**Install on Linux** + +RedisInsight is available for Linux as a Debian or AppImage package. + +1. Download [RedisInsinght](https://redis.com/redis-enterprise/redis-insight) or [Redis Stack](/docs/stack/get-started/install/linux). + +2. Make your downloaded file into an executable. + + ``` + chmod a+x RedisInsight-v2-linux-x86_64.AppImage + + ``` + +3. Open the Linux command line and navigate to the folder containing the downloaded file. To open RedisInsight, run this command. + +``` +./RedisInsight-v2-linux-x86_64.AppImage + +``` + +To resume your journey, [start Redis Stack Server](#start-redis-stack-server). + +**Install on Windows** + +1. Download [RedisInsinght](https://redis.com/redis-enterprise/redis-insight) or [Redis Stack](/docs/stack/get-started/install/windows). + +2. Double-click the `RedisInsight-v2-win-installer.exe` file. + +3. Double-click the RedisInsight icon. + +## Start Redis Stack Server + +You can now start Redis Stack Server as follows: + +```bash + redis-stack-server +``` + +## Add a Redis database + +You can add a Redis database either by adding a database manually, creating a new Redis Enterprise Cloud database, or connecting to an existing database. To try Redis Enterprise Cloud, select **Try Redis Cloud with enhanced database capabilities**. + +If you already have Redis database up and running locally, select **Autodiscover Databases**. + +Enter the requested details, then click **Submit** or **Add Redis Database**. + +Once added, your database appears with **Database Alias**. **Host:Port**, **Connection Type**, **Modules**, and **Last connection**. + +## Add a new key + +Select **+Key** to add a new key. + +Once added, the dashboard UI shows the hash key details + +## Change the color + +RedisInsight allows you to specify the color theme of your choice. Select **Settings > General** and change the appearance between **Dark Theme** and **Light Theme**. + +## Explore + +To learn how to use RedisInsight with your database, see [Examples](/docs/ui/insight/examples). \ No newline at end of file diff --git a/docs/ui/insight/tutorials/images/consumer.png b/docs/ui/insight/images/consumer.png similarity index 100% rename from docs/ui/insight/tutorials/images/consumer.png rename to docs/ui/insight/images/consumer.png diff --git a/docs/ui/insight/tutorials/images/insight_streams.png b/docs/ui/insight/images/insight_streams.png similarity index 100% rename from docs/ui/insight/tutorials/images/insight_streams.png rename to docs/ui/insight/images/insight_streams.png diff --git a/docs/ui/insight/tutorials/images/stream.png b/docs/ui/insight/images/stream.png similarity index 100% rename from docs/ui/insight/tutorials/images/stream.png rename to docs/ui/insight/images/stream.png diff --git a/docs/ui/insight/tools.md b/docs/ui/insight/tools.md new file mode 100644 index 00000000..3e3f825f --- /dev/null +++ b/docs/ui/insight/tools.md @@ -0,0 +1,109 @@ +--- +title: RedisInsight tools +linkTitle: Tools +description: Learn about RedisInsight features +weight: 50 + +--- + +RedisInsight makes it easy to query, visualize, and interactively work with Redis capabilities. Whether using Redis Stack, Redis Enterprise, or Redis Enterprise Cloud, RedisInsight allows you to manipulate complex data models such as documents, graphs, and time series. Explore queryable JSON documents, full-text search, probabilistic data structures, and more. + +## Connection management + +* Automatically discover and add your local Redis or Redis Stack databases (that use standalone connection type and do not require authentication). +* Discover your databases in Redis Enterprise Cluster and databases with Flexible plans in Redis Cloud. +* Use a form to enter your connection details and add any Redis database running anywhere (including OSS Cluster, Sentinel). + + + +## Browser + +Browser offers [CRUD](https://en.wikipedia.org/wiki/Create,_read,_update_and_delete) support for lists, hashes, strings, sets, sorted sets, streams, as well as for [RedisJSON](/docs/stack/json). + +* Browse, filter, and visualize your key-value Redis data structures. + +* Group keys according to their namespaces. + + + +* View, validate, and manage your key values in a human-readable format using formatters that prettify and highlight data in different formats (for example, Unicode, JSON, MessagePack, HEX, and ASCII) in the Browser tool. + + + +## Profiler + +Analyze every command sent to Redis in real time. + + + +## CLI + +The CLI is accessible at any time within the application. It: + +* Employs type-ahead help to deliver intuitive assistance. +* Includes a command helper that lets you filter and search for Redis commands. + +Try executing Redis commands as shown here: + + + + +## Workbench + +Workbench is a command-line interface with intelligent command auto-complete and complex data visualizations that lets you run commands against your Redis server. +Find the workbench on the left sidebar. It displays click-through examples of Redis capabilities. You can also see a number of metrics always on display within the database workspace. These metrics get updated every 5 seconds. The metrics include CPU, number of keys, commands/sec, network input, network output, total memory, and number of connected clients. Workbench provides: + +* Built-in examples that help you discover Redis and Redis Stack capabilities using the built-in guides. +* Command auto-complete support for all capabilities in Redis and Redis Stack. +* Visualizations of your [RediSearch](https://oss.redis.com/redisearch/) index, queries, and aggregations. +* Visualizations of your [RedisGraph](https://oss.redis.com/redisgraph/). + + + +* Visualizations of your [RedisTimeSeries](https://oss.redis.com/redistimeseries/) data. + + + +## Database analysis + +Use the database analysis tool to optimize the performance and memory usage of your Redis database. Check data type distribution and memory allocation and review the summary of key expiration time and memory to be freed over time. Inspect the top keys and namespaces sorted by consumed memory or key length and count of keys, respectively. Capture and track the changes in your database by viewing historical analysis reports. Next figure shows a sample database analysis report. + + + +## Redis Streams support + +Create and manage streams by adding, removing, and filtering entries per timestamp. To see and work with new entries, enable and customize the automatic refresh rate. + +View and manage the list of consumer groups. See existing consumers in a given consumer name as well as the last messages delivered to them. Inspect the list of pending messages, explicitly acknowledge the processed items, or claim unprocessed messages via RedisInsight. + + + +## Search capabilities + +If you're using Redis Stack's indexing, querying, or full-text search capabilities, RedisInsight provides UI controls to run search queries against a preselected index. You can also create a secondary index of your data in a dedicated pane. + + + +## Bulk actions + +Easily and quickly delete multiple keys of the same type and/or with the same key name pattern in bulk. To do so, in the List or Tree view, set filters per key type or key names and open the Bulk Actions section. The section displays a summary of all the keys with the expected number of keys that will be deleted based on the set filters. + +When the bulk deletion is completed, RedisInsight displays the results of this operation with the number of keys processed and the time taken to delete the keys in bulk. +Use bulk deletion to optimize the usage of your database based on the results from the Redis database analysis. + + + +## Slow Log + +The Slow Log tool displays the list of logs captured by the `SLOWLOG` command to analyze all commands that exceed a specified runtime, which helps with troubleshooting performance issues. Specify both the runtime and the maximum length of Slowlog (which are server configurations) to configure the list of commands logged and set the auto-refresh interval to automatically update the list of commands displayed. + + + +## Plugins + +With RedisInsight you can now also extend the core functionality by building your own data visualizations. See our [plugin documentation](https://github.com/RedisInsight/RedisInsight/wiki/Plugin-Documentation) for more information. + +## Telemetry + +RedisInsight includes an opt-in telemetry system. This helps us improve the developer experience of the app. We value your privacy, so all collected data is anonymized. + From afcab27a39cf29b69a8762e89398ddb2ab0bb3b5 Mon Sep 17 00:00:00 2001 From: Nermina Miller <102551568+nermiller@users.noreply.github.com> Date: Thu, 23 Feb 2023 17:09:21 -0500 Subject: [PATCH 02/37] Update get-started.md Applies Viktar's feedback --- docs/ui/insight/get-started.md | 26 +++++++++++++++++++------- 1 file changed, 19 insertions(+), 7 deletions(-) diff --git a/docs/ui/insight/get-started.md b/docs/ui/insight/get-started.md index 6d0c194a..b575e6d8 100644 --- a/docs/ui/insight/get-started.md +++ b/docs/ui/insight/get-started.md @@ -6,10 +6,10 @@ weight: 40 --- -RedisInsight is available as a [standalone download](https://redis.com/redis-enterprise/redis-insight/) or [bundled with Redis Stack](/docs/stack/get-started/install). Install it and try the in-app examples available in Workbench. +RedisInsight is available as a standalone download or [bundled with Redis Stack](/docs/stack/get-started/install). Install it and try the in-app examples available in Workbench. -## Install RedisInsight +## Install standalone RedisInsight You can use RedisInsight on MacOS, Linux, or Windows. @@ -17,7 +17,7 @@ You can use RedisInsight on MacOS, Linux, or Windows. Redis offers RedisInsight on Intel and M1. -1. Download [RedisInsinght](https://redis.com/redis-enterprise/redis-insight) or [Redis Stack](/docs/stack/get-started/install/mac-os). +1. Download [RedisInsinght](https://redis.com/redis-enterprise/redis-insight). 1. Add RedisInsight to **Applications**. @@ -31,9 +31,21 @@ To resume your journey, [start Redis Stack Server](#start-redis-stack-server). **Install on Linux** -RedisInsight is available for Linux as a Debian or AppImage package. +RedisInsight is available for Linux as a Debian or AppImage package. You can also install it from [Snapcraft](https://snapcraft.io/redisinsight) or [FlatHub](https://flathub.org/apps/details/com.redis.RedisInsight) using instructions available at those sites. -1. Download [RedisInsinght](https://redis.com/redis-enterprise/redis-insight) or [Redis Stack](/docs/stack/get-started/install/linux). +For Debian: + +1. Download [RedisInsinght](https://redis.com/redis-enterprise/redis-insight). + +2. Open the Linux command line and install the package. + +``` +sudo apt install ./RedisInsight-v2-linux-amd64.deb +``` + +For AppImage: + +1. Download [RedisInsinght](https://redis.com/redis-enterprise/redis-insight). 2. Make your downloaded file into an executable. @@ -53,7 +65,7 @@ To resume your journey, [start Redis Stack Server](#start-redis-stack-server). **Install on Windows** -1. Download [RedisInsinght](https://redis.com/redis-enterprise/redis-insight) or [Redis Stack](/docs/stack/get-started/install/windows). +1. Download [RedisInsinght](https://redis.com/redis-enterprise/redis-insight). 2. Double-click the `RedisInsight-v2-win-installer.exe` file. @@ -89,4 +101,4 @@ RedisInsight allows you to specify the color theme of your choice. Select **Sett ## Explore -To learn how to use RedisInsight with your database, see [Examples](/docs/ui/insight/examples). \ No newline at end of file +To learn how to use RedisInsight with your database, see [Examples](/docs/ui/insight/examples). From 20b3b652ebe5d53a1ff683b1c60386053420f038 Mon Sep 17 00:00:00 2001 From: Nermina Miller <102551568+nermiller@users.noreply.github.com> Date: Thu, 23 Feb 2023 18:37:05 -0500 Subject: [PATCH 03/37] Update tools.md Applies Viktar's feedback --- docs/ui/insight/tools.md | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/docs/ui/insight/tools.md b/docs/ui/insight/tools.md index 3e3f825f..f4842ed2 100644 --- a/docs/ui/insight/tools.md +++ b/docs/ui/insight/tools.md @@ -70,6 +70,14 @@ Use the database analysis tool to optimize the performance and memory usage of y +Use recommendations based on developer best practices to: + +* Reduce memory usage +* Improve application performance +* Increase the security of your database + +Recommendations are generated specifically for your Redis or Redis Stack database. + ## Redis Streams support Create and manage streams by adding, removing, and filtering entries per timestamp. To see and work with new entries, enable and customize the automatic refresh rate. From 23fe8922814f9fcc906cd2221c23780b0bd495c2 Mon Sep 17 00:00:00 2001 From: Nermina Miller <102551568+nermiller@users.noreply.github.com> Date: Thu, 23 Feb 2023 18:41:11 -0500 Subject: [PATCH 04/37] Update docs/ui/insight/examples.md --- docs/ui/insight/examples.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/ui/insight/examples.md b/docs/ui/insight/examples.md index 28344845..a6fcd4bf 100644 --- a/docs/ui/insight/examples.md +++ b/docs/ui/insight/examples.md @@ -10,7 +10,7 @@ RedisInsight allows you to browse, filter, and visualize key-value Redis data st ## Use RedisInsight to manage time series -Examples you find in Workbench allow you interact with some sample data in a few taps. For this orientation, we will use an example called _Redis for time series_. Navigate to this title, read the introduction, then tap the first button to create five time series for bike shops. +Examples you find in Workbench allow you interact with some sample data in a few taps. For this orientation, we will use an example called _Redis for time series_. If you haven't done so, install [Redis Stack](/docs/stack/get-started/install). Then navigate to this example in Workbench, read the introduction, then tap the first button to create five time series for bike shops. **Step 1: Create a time series per bike shop** From 7088b68bcd16720358b19d82c7291a43dd34b842 Mon Sep 17 00:00:00 2001 From: Nermina Miller <102551568+nermiller@users.noreply.github.com> Date: Thu, 23 Feb 2023 18:41:17 -0500 Subject: [PATCH 05/37] Update docs/ui/insight/tools.md --- docs/ui/insight/tools.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/ui/insight/tools.md b/docs/ui/insight/tools.md index f4842ed2..840367b0 100644 --- a/docs/ui/insight/tools.md +++ b/docs/ui/insight/tools.md @@ -107,7 +107,7 @@ The Slow Log tool displays the list of logs captured by the `SLOWLOG` command to -## Plugins +## Create your own custom data visualizations With RedisInsight you can now also extend the core functionality by building your own data visualizations. See our [plugin documentation](https://github.com/RedisInsight/RedisInsight/wiki/Plugin-Documentation) for more information. From 26da4bd81a01a8eaab7e142b2508e6654e8019b3 Mon Sep 17 00:00:00 2001 From: Nermina Miller <102551568+nermiller@users.noreply.github.com> Date: Thu, 23 Feb 2023 18:41:23 -0500 Subject: [PATCH 06/37] Update docs/ui/insight/tools.md --- docs/ui/insight/tools.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/ui/insight/tools.md b/docs/ui/insight/tools.md index 840367b0..284278b2 100644 --- a/docs/ui/insight/tools.md +++ b/docs/ui/insight/tools.md @@ -113,5 +113,5 @@ With RedisInsight you can now also extend the core functionality by building you ## Telemetry -RedisInsight includes an opt-in telemetry system. This helps us improve the developer experience of the app. We value your privacy, so all collected data is anonymized. +RedisInsight includes an opt-in telemetry system. This helps us improve the developer experience of the app. We value your privacy, so all collected data is anonymized. You can disable this feature at any time. From 7529b6630c3b2c6a18e02c8fba571a73238b046e Mon Sep 17 00:00:00 2001 From: Nermina Miller <102551568+nermiller@users.noreply.github.com> Date: Thu, 23 Feb 2023 18:41:29 -0500 Subject: [PATCH 07/37] Update docs/ui/insight/tools.md --- docs/ui/insight/tools.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/ui/insight/tools.md b/docs/ui/insight/tools.md index 284278b2..6168f14e 100644 --- a/docs/ui/insight/tools.md +++ b/docs/ui/insight/tools.md @@ -51,7 +51,7 @@ Try executing Redis commands as shown here: ## Workbench Workbench is a command-line interface with intelligent command auto-complete and complex data visualizations that lets you run commands against your Redis server. -Find the workbench on the left sidebar. It displays click-through examples of Redis capabilities. You can also see a number of metrics always on display within the database workspace. These metrics get updated every 5 seconds. The metrics include CPU, number of keys, commands/sec, network input, network output, total memory, and number of connected clients. Workbench provides: +Find Workbench on the left sidebar. It provides: * Built-in examples that help you discover Redis and Redis Stack capabilities using the built-in guides. * Command auto-complete support for all capabilities in Redis and Redis Stack. From 1acecc28c3903c5b81a997e33b7235db6be3fbe1 Mon Sep 17 00:00:00 2001 From: Nermina Miller Date: Fri, 24 Feb 2023 11:04:48 -0500 Subject: [PATCH 08/37] Adds more content plus small updates --- docs/ui/insight/best-practices.md | 385 ++++++++++++++++++ docs/ui/insight/examples.md | 2 +- docs/ui/insight/get-started.md | 4 +- .../images/database_recommendations.png | Bin 0 -> 405083 bytes docs/ui/insight/tools.md | 15 +- 5 files changed, 397 insertions(+), 9 deletions(-) create mode 100644 docs/ui/insight/best-practices.md create mode 100644 docs/ui/insight/images/database_recommendations.png diff --git a/docs/ui/insight/best-practices.md b/docs/ui/insight/best-practices.md new file mode 100644 index 00000000..e3af0e28 --- /dev/null +++ b/docs/ui/insight/best-practices.md @@ -0,0 +1,385 @@ +--- +title: Developer best practices +linkTitle: Best practices +description: Apply best developer practices +weight: 60 + +--- + +RedisInsight can monitor the health of your databases and provide recommendations to increase memory efficiency in Redis. + +## Avoid dynamic Lua script + +Refrain from generating dynamic scripts, which can cause your Lua cache to grow and get out of control. +Memory is consumed as scripts are loaded: + +1. By the `server.lua_scripts` dictionary holding original text. +1. Internally by Lua to keep the compiled byte-code. + +So, If you have to use dynamic scripting, then just use plain EVAL, because it doesn't make sense to load them first. + +#### Things to keep in mind if using dynamic Lua scripts + +1. Remember to track your Lua memory consumption and flush the cache periodically with a SCRIPT FLUSH. +1. Do not hardcode and/or programmatically generate key names in your Lua scripts because it makes them useless in a clustered Redis setup. + +## Switch to 32-bits + +Redis gives you these statistics for a 64-bit machine. + +1. An empty instance uses ~ 3MB of memory. +1. 1 million small keys - String Value pairs use ~ 85MB of memory. +1. 1 million keys - Hash value, representing an object with 5 fields, use ~ 160 MB of memory. + +64-bit has more memory available as compared to a 32-bit machine. But if you are sure that your data size does not exceed 3 GB then storing in 32 bits is a good option. + +64-bit systems use considerably more memory than 32-bit systems to store the same keys, especially if the keys and values are small. This is because small keys are allocated full 64 bits resulting in the wastage of the unused bits. + +#### Advantages + +Switching to 32-bit from 64-bit machine can substantially reduce the cost of the machine used and can optimize the usage of memory. + +#### Trade-offs + +For the 32-bit Redis variant, any key name larger than 32 bits requires the key to span to multiple bytes, thereby increasing the memory usage. + +#### When to avoid switching to 32 bit + +If your data size is expected to increase more than 3 GB then you should avoid switching. + +### Reclaim expired keys memory faster + +When you set an expiry on a key, redis does not expire it at that instant. Instead, it uses a [randomized algorithm](https://redis.io/commands/expire) to find out keys that should be expired. Since this algorithm is random, there are chances that the keys are not expired. This means that redis consumes memory to hold keys that have already expired. The moment the key is accessed, it is deleted. + +If there are only a few keys that have expired and redis hasn't deleted them - it is fine. It's only a problem when a large number of keys haven't expired. + +#### Check if memory is not reclaimed after expiry + +1. Run the `INFO` command and find the total_memory_used and sum of all the keys for all the databases. +1. Then take a Redis Dump(RDB) and find out the total memory and total number of keys. + +Looking at the difference you can clearly point out that lot of memory is still not reclaimed for the keys that have expired. + +#### How to reclaim expired keys memory faster + +You can follow one of these three steps to reclaim the memory: + +1. Restart your redis-server +1. To reclaim the expired keys faster, increase memory-samples in redis.conf (default is 5). +1. You can set up a cron job that runs the scan command after an interval which helps in reclaiming the memory of the expired keys. + +#### Trade-offs + +If you increase the `maxmemory-samples` configuration parameter, it expires the keys faster, but it costs more CPU cycles, which increases latency of commands. Secondly, increasing the expiry of keys helps but that requires significant changes to application logic. + +### Use better serializer + +Redis does not have any specific data type to store the serialized objects, they are stored as byte array in Redis. If you are using regular means of serializing our Java, Python, and PHP objects, they can be of larger size which impacts the memory consumption and latency. + +#### Choosing a serializer + +Instead of using the default serializer of your programming language (Java serialized objects, Python pickle, PHP serialize, and so on), switch to a better library like Protocol Buffers, MessagePack, and so on. + +##### MessagePack + +MessagePack is an efficient binary serialization format. It lets you exchange data among multiple languages like JSON. But it's faster and smaller. Small integers are encoded into a single byte, and typical short strings require only one extra byte in addition to the strings themselves. + +As stated by Salvatore Sanfilippo, creator of Redis, "Redis scripting has support for MessagePack because it is a fast and compact serialization format with a simple to implement specification. I liked it so much that I implemented a MessagePack C extension for Lua just to include it into Redis."" + +##### Protocol buffers + +Protocol buffers, usually referred as Protobuf, is a protocol developed by Google to allow serialization and deserialization of structured data. Google developed it with the goal to provide a better way, compared to XML, to make systems communicate. So they focused on making it simpler, smaller, faster, and more maintainable then XML. + +## Data modeling recommendations + +### Combine smaller strings to hashes + +Strings data type has an overhead of about 90 bytes on a 64 bit machine. In other words, calling set foo bar uses about 96 bytes, of which 90 bytes is overhead. You should use the String data type only if: + +1. The value is at least greater than 100 bytes. +1. You are storing encoded data in the string - JSON encoded or Protocol buffer. +1. You are using the string data type as an array or a bitset. + +If you are not doing any of the above, then use **Hashes**. + +#### How to convert strings to hashes + +Suppose you have to store the number of comments on the posts of a user. You can have a key names like `user:{userId}:post:{postId}:comments`. + +This way, you have a key per post for each user. So now if you need to find the total number of comments for whole application you can do: + +```bash +Redis::mget("user:{$userId}:post:1", "user:{$userId}:post:2", ...); +``` + +For converting this to Hash you can do something like this. + +```bash +Redis::hmset("user:{$userId}:comments", "post:1", 20, "post:2", 50); +``` + +This builds a Redis hash with two fields `post:1` and `post:2` holding the values 20 and 50. + +#### Advantages + +Combining small strings to hashes reduces the memory used and in return save a cost. + +Hashes can be encoded to use memory efficiently, so Redis makers recommend that you use hashes whenever possible because a few keys use a lot more memory than a single key containing a hash with a few fields. A key represents a Redis object and holds a lot more information than just its value. On the other hand, a hash field only holds the value assigned, which is much more efficient. + +#### Trade-offs + +Performance comes with a cost. By converting the strings to hash, you conserve memory because it saves only the string value and no extra information like: `idle time`, `expiration`, `object reference count`, and `encoding` related to it. +But, if you want the key with the expiration value, you can't associate it with a hash structure because expiration is not available. + +#### When to avoid combining strings to hashes + +The decision depends on the number of strings. If it less than 1 million and the memory consumption is not high, the conversion is not affected much and there is no point in increasing the complexity of code. + +But, if the strings are more than 1 million and the memory consumption is high, then this approach should definitely be followed. + +### Convert a hash table to ziplist for hashes + +Hashes have two types of encoding: a hash table and ziplist. The decision of storing in which of the data structures in done based on the two configurations Redis provides - `hash-max-ziplist-entries` and `hash-max-ziplist-values`. + +By default the redis configuration parameters have these settings as: + +- hash-max-ziplist-entries = 512 +- hash-max-ziplist-values = 64 + +So if any value for a key exceeds the two configurations it is stored automatically as a hash table instead of a ziplist. A hash table consumes almost double the memory compared to a ziplist. To save your memory, you can increase the two configurations and convert your hash tables to ziplists. + +#### Why ziplists use less memory + +The ziplist implementation in Redis achieves its small memory size by storing only three pieces of data per entry: the length of the previous entry, the length of the current entry, and the stored data. Therefore, ziplists consume less memory. + +#### Trade-offs + +This brevity comes at a cost because more time is required to change the size and retrieve the entry. Hence, there is an increase in latency and possibly increase in CPU utilization on your Redis server. + +{{< note >}} +Similarly, sorted sets can also be converted to ziplists, but the only difference is that `zset-max-ziplist-entries` is 128, which is less than for hashes. +{{< /note >}} + +### Switch from set to IntSet + +Sets that contain only integers are extremely efficient memory wise. If your set contains strings, try to use integers by mapping string identifiers to integers. + +You can either use enums in your programming language or you can use a Redis hash data structure to map values to integers. Once you switch to integers, Redis uses the IntSet encoding internally. + +This encoding is extremely memory efficient. By default, the value of `set-max-intset-entries` is 512, but you can set this value in redis.conf. + +#### Trade-offs + +By increasing the value of `set-max-intset-entries`, latency increases in set operations, and CPU utilization is also increased on your Redis server. Check this by running this command before and after making this change. + +```bash +Run `info commandstats` +``` + +### Use smaller keys + +Redis keys can increase the memory consumption for your Redis instances. In general, you should always prefer descriptive keys but if you have a large dataset having millions of keys then these large keys can be expensive. + +#### How to convert to smaller keys + +In a well-written application, switching to shorter keys usually involves updating a few constant strings in the application code. + +You have to identify all the big keys in your Redis instance and shorten it by removing extra characters from it. You can achieve this in two ways: + +1. You can identify the big keys in your Redis instance by using RedisInsight. This gives you details about all the keys and a way to sort your data based on the length of keys. +1. Alternatively, you can run the command `redis-cli --bigkeys`. + +An advantage of using RedisInsight is that it gives you the big keys from the whole dataset, whereas big-key commands run over a certain set of records and return the big keys from that set, hence it is difficult to identify the big keys from the whole dataset using big keys. + +#### Advantages + +Suppose you have 100,000,000 keys name, as follows: + +```bash +my-descriptive-large-keyname (28 characters) +``` + +Now, if you shorten the key name like so: + +```bash +my-des-lg-kn (12 characters) +``` + +You save 16 characters by shortening your key, i.e. 16 bytes, which lets you save **1,000,000,000*16 = 1.6GB of RAM Memory !**. + +#### Trade-offs + +Large keys are more descriptive then shortened keys. Hence, when reading through your database, you may find the keys less relatable but the memory and cost savings much more efficient. + +### Convert to a list instead of hash + +A Redis hash stores field names and values. If you have thousands of small hash objects with similar field names, the memory used by field names adds up. To prevent this, consider using a list instead of a hash. The field names become indexes into the list. + +While this may save memory, you should only use this approach if you have thousands of hashes and if each of those hashes have similar fields. +[Compressed Field Names](#compress-field-names) are another way to reduce memory used by field names. + +Let's take an example. Suppose you want to set user details in Redis. You do something like this: + +```bash +hmset user:123 id 123 firstname Bob lastname Lee +location CA twitter bob_lee +``` + +Now, Redis stores this internally as a ziplist; you can confirm by running debug object user:123 and look at the encoding field. In this encoding, key value pairs are stored sequentially, so the user object you created above would roughly look like this ``["firstname", "Bob", "lastname", "Lee", "location", "CA", "twitter", "bob_lee"]`` + +Now, if you create a second user, the keys are duplicated. If you have a million users, well, it's a big waste repeating the keys again. To get around this, you can borrow a concept from Python, _named tuples_. + +#### How does a NamedTuple work + +A NamedTuple is simply a read-only list, but with some magic to make that list look like a dictionary. Your application needs to maintain a mapping from field names to indexes, like `"firstname" => 0, "lastname" => 1 and so on`. + +Then, you simply create a list instead of a hash, like- `lpush user:123 Bob Lee CA bob_lee`. With the right abstractions in your application, you can save significant memory. + +#### Trade-offs + +The only trade-offs are related to code complexity. Redis internally uses the same encoding (ziplist) for small hashes and small lists, so there is no performance impact when you switch to a list. However, if you have more than 512 fields in your hash, this approach is not recommended. + +#### When to avoid converting hash to list + +Avoid converting hashes to lists when: +1. Your hash contains fewer than 50,000 field-value pairs. +1. The size of your hash values are not consistent (for instance, when some hashes contain only a few field-value pairs while others contain many). + +### Shard big hashes to small hashes + +If you have a hash with a large number of key-value pairs. If each key-value pair is small enough, break it into smaller hashes to save memory. To shard a hash table, you need to choose a method of partitioning your data. + +Hashes themselves have keys that can be used for partitioning the keys into different shards. The number of shards are determined by the total number of keys you want to store and the shard size. Using this and the hash value you can determine the shard ID in which the key resides. + +#### How sharding happens + +- **Numeric keys** - For numeric keys, keys are assigned to a shard ID based on their numeric key value (keeping numerically similar keys in the same shard). + +- **Non-numeric Keys** - For non-numeric keys, CRC32 checksum is used. CRC32 is used in this case because it returns a simple integer without additional work and is fast to calculate (much faster than MD5 or SHA1 hashes). + +#### Things to keep in mind + +Be consistent about the total number of expected elements and the shard size while sharding because these two pieces of information are required to keep the number of shards down. Ideally, you should not change the values because this changes the number of shards. + +If you want to change any one of the values, you should have a process for moving your data from the old datashards to the new data shards (this is generally known as resharding). + +#### Trade-offs + +Converting big hashes to small hashes increases the complexity of your code. + +### Switch from a set to Bloom filter, cuckoo filter, or HyperLogLog + +Suppose you are using large [sets](https://redis.io/docs/data-types/sets/) to solve one of the following problems: + +- Count the number of unique observations in a stream. +- Check if an observation already appeared in the stream. +- Find the fraction or the number of observations in the stream that are smaller or larger than a given value. + +If you are ready to trade accuracy with speed and memory usage, consider using one of the following probabilistic data structures. You can use: + +- [HyperLogLog](https://redis.io/docs/data-types/hyperloglogs/) to estimate the number of unique observations in a set. +- [Bloom filter or cuckoo filter](https://redis.io/docs/stack/bloom/) to check if an observation has already appeared in the stream. False positive matches are possible, but false negatives are not. +- [t-digest](https://redis.io/docs/stack/bloom/) to estimate the fraction or the number of observations in the stream that are smaller or larger than a given value. + +Bloom filter and cuckoo filter require [RedisBloom](https://redis.com/modules/redis-bloom/). + +#### Trade-offs + +Following are the trade-offs of using HyperLogLog: + +1. The results achieved from HyperLogLog are not 100% accurate; they have an approximate standard error of 0.81%. +1. Hyperloglog only tells you the unique count. It cannot tell you the elements in the set. + +For example, if you want to maintain how many unique IP addresses made an API call today, HyperLogLog tells you `46966 unique IPs for today`. + +But if your desired result is `Show me those 46966 IP Addresses`, it cannot show you. To achieve that, you need to maintain all IP addresses in a set. + +### Switch from a sorted set to count-min sketch or top-k + +Suppose you are using large [sorted sets](https://redis.io/docs/data-types/sorted-sets/) to solve one of the following problems: + +- Determine the count of a given observation in a stream. +- Maintain a list of the most frequent observations in a stream. + +If you want to trade accuracy for speed and memory usage, consider using one of the following probabilistic data structures. You can use: + +- Count-min sketch to estimate the count of a given observation in a stream. +- Top-K to maintain a list of the _k_ most frequent observations in a stream. + +Count-min sketch and top-K require [RedisBloom](https://redis.com/modules/redis-bloom/). + +## Data compression methods + +### Compress field names + +A Redis hash consists of fields and their values. Like values, a field name also consumes memory, so it is required to keep in mind while assigning field names. If you have a large number of hashes with similar field names, the memory adds up significantly. +To reduce memory usage, you can use smaller field names. + +#### What does it mean to compress field names + +Referring to the previous example of converting hashes to list, you had a hash with user details. + +```bash +hmset user:123 id 123 firstname Bob lastname Lee +location CA twitter bob_lee +``` + +In this case, firstname, lastname, location, and twitter are field names that can been shortened to `fn`, `ln`, `loc`, and so on. By doing so, you can save some memory that is used by the field names. + +### Compress values + +Redis and clients are typically IO bound and the IO costs are typically at least 2 orders of magnitude in respect to the rest of the request/reply sequence. Redis by default does not compress any value that is stored in it. Therefore, you should compress your data before storing it in Redis. This helps to reduce the payload, which in return gives you higher throughput, lower latency, and higher cost savings. + +#### How to compress strings + +There are several compression algorithms to choose from, each with its own trade-offs. + +1. [Snappy](https://en.wikipedia.org/wiki/Snappy_(compression)) aims for high speed and reasonable compression. +1. LZO compresses fast and decompresses faster. +1. Others, such as gzip, are more widely available. + +The gzip compression uses more CPU resources than Snappy or LZO, but provides a higher compression ratio. gzip is often a good choice for cold data, which is accessed infrequently. Snappy or LZO are a better choice for hot data, which is accessed frequently. + +Compressing strings requires code changes. Some libraries can transparently compress objects, and you would only need to configure your library. In other cases, you might have to compress the data manually. + +#### Advantages + +Compressing strings can save you anywhere between 30 and 50 percent of the memory. By compressing strings, you also reduce the network bandwidth between your application and Redis databases. + +#### Trade-offs + +Compression/decompression requires that your application do the extra work. This trade-off is usually worth it. If you are concerned about additional CPU load, switch to a faster algorithm like Snappy or LZO. + +#### When to avoid compression + +Compression should not be followed blindly. Sometimes compression does not help you reduce your memory but rather increases your CPU utilization. Avoid compression: + +1. For shorter strings: it's likely a waste of time. Short strings generally don't compress much, so the gain would be too small. +1. When the data isn't well structured. JSON and XML are good at compression because they have repeated characters and tags. + +### Enable compression for lists + +A list is just a link list of arrays, where none of the arrays are compressed. By default, Redis does not compress elements inside a list. However, if you use long lists, and mostly access elements from the head and tail only, then you can enable compression. + +You have two configurations: + +* List-max-ziplist-size: 8kb (default) +* List-compression-depth: 0 (default) + +A configuration change in **redis.conf > `list-compression-depth=1`** helps you achieve compression. + +#### About compression depth + +Compression depth is the number of list nodes from each end of the list to leave untouched before you start compressing inner nodes. + +Example: + +1. List-compression-depth=1 compresses every list node except the head and tail of the list. +1. List-compression-depth=2 never compresses the head or head->next or the tail or tail->prev. +1. List-compression-depth=3 starts compression after the head->next->next and before the tail->prev->prev, etc. + +#### Trade-offs + +For small values (for example 40 bytes per list entry here), compression has minimal performance impact. When using 40 byte values with a max ziplist size of 8k, that's around 200 individual elements per ziplist. You only pay the extra _compression overhead_ cost when a new ziplist gets created (in this case, once every 200 inserts). + +For larger values (for example 1024 bytes per list entry here), compression does have a noticeable performance impact, but Redis is still operating at over 150,000 operations per second for all good values of ziplist size (-2). When using 1024 byte values with a max ziplist size of 8k, that works out to 7 elements per ziplist. In this case, you pay the extra compression overhead once every seven inserts. That's why the performance is slightly less in the 1024 byte element case. diff --git a/docs/ui/insight/examples.md b/docs/ui/insight/examples.md index a6fcd4bf..d04d7db0 100644 --- a/docs/ui/insight/examples.md +++ b/docs/ui/insight/examples.md @@ -2,7 +2,7 @@ title: "RedisInsight examples" linkTitle: Examples description: -weight: 60 +weight: 70 --- diff --git a/docs/ui/insight/get-started.md b/docs/ui/insight/get-started.md index b575e6d8..3fcc5655 100644 --- a/docs/ui/insight/get-started.md +++ b/docs/ui/insight/get-started.md @@ -81,7 +81,7 @@ You can now start Redis Stack Server as follows: ## Add a Redis database -You can add a Redis database either by adding a database manually, creating a new Redis Enterprise Cloud database, or connecting to an existing database. To try Redis Enterprise Cloud, select **Try Redis Cloud with enhanced database capabilities**. +You can add a Redis database manually, create a new Redis Enterprise Cloud database, or connect to an existing database. To try Redis Enterprise Cloud, select **Try Redis Cloud with enhanced database capabilities**. If you already have Redis database up and running locally, select **Autodiscover Databases**. @@ -93,7 +93,7 @@ Once added, your database appears with **Database Alias**. **Host:Port**, **Conn Select **+Key** to add a new key. -Once added, the dashboard UI shows the hash key details +Once added, the dashboard UI shows the hash key details. ## Change the color diff --git a/docs/ui/insight/images/database_recommendations.png b/docs/ui/insight/images/database_recommendations.png new file mode 100644 index 0000000000000000000000000000000000000000..6c63c89231ee5670bca5289f2858e1d3e657b700 GIT binary patch literal 405083 zcmeFYby!@#wm*y(XrZ{fySuwu-AGp7Y-4 z-sgG0=kL2`?`LO{e3F%9t*n)m>>p|>vM6r}-aw@AlBqe`n_JnKK|#s=NYqBq(HO$X(vORY3B(W+Q`lEV`vsjJH~}Na z`aLoR4nrXVNxaVx2m4cNs2_>}_6HkAGS}nb-1$cnacNy#m+G8L8mjE0_RBV~x6|2A zPKy_fQ>9a3C`<2k`2vq(9;o{`7+nc>HYaC2f%q$AGALN*^|wF|ujT||TwIiFMWG%EaW$c z7Yx)Ot&J0fj9=X$kG63bd}u~*!~%x5hH9X**8%|M>ZDLT^dlQD|@j!J~O2}7?z+-Qo9SvmO&8BX!xdng5TdWtyBn_?s*kpDI8 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-38,13 +38,12 @@ Analyze every command sent to Redis in real time. ## CLI -The CLI is accessible at any time within the application. It: +The CLI is accessible at any time within the application. It includes: -* Employs type-ahead help to deliver intuitive assistance. -* Includes a command helper that lets you filter and search for Redis commands. - -Try executing Redis commands as shown here: +* Type-ahead help. +* A command helper that lets you filter and search. +Try executing Redis commands as shown here. @@ -66,7 +65,9 @@ Find Workbench on the left sidebar. It provides: ## Database analysis -Use the database analysis tool to optimize the performance and memory usage of your Redis database. Check data type distribution and memory allocation and review the summary of key expiration time and memory to be freed over time. Inspect the top keys and namespaces sorted by consumed memory or key length and count of keys, respectively. Capture and track the changes in your database by viewing historical analysis reports. Next figure shows a sample database analysis report. +Use the database analysis tool to optimize the performance and memory usage of your Redis database. Check data type distribution and memory allocation and review the summary of key expiration time and memory to be freed over time. Inspect the top keys and namespaces sorted by consumed memory or key length and count of keys, respectively. Capture and track the changes in your database by viewing historical analysis reports. + +Next figure shows a sample database analysis report. @@ -78,6 +79,8 @@ Use recommendations based on developer best practices to: Recommendations are generated specifically for your Redis or Redis Stack database. + + ## Redis Streams support Create and manage streams by adding, removing, and filtering entries per timestamp. To see and work with new entries, enable and customize the automatic refresh rate. From d859e8eb970247eb92239472131b81fb5d50417c Mon Sep 17 00:00:00 2001 From: Nermina Miller Date: Fri, 24 Feb 2023 11:12:04 -0500 Subject: [PATCH 09/37] Updates dictionary, fixes spelling --- dictionary.txt | 9 +++++++++ docs/ui/insight/get-started.md | 8 ++++---- 2 files changed, 13 insertions(+), 4 deletions(-) diff --git a/dictionary.txt b/dictionary.txt index a0321b76..04dd517e 100644 --- a/dictionary.txt +++ b/dictionary.txt @@ -176,12 +176,15 @@ createClient dataset david-paich.json dearmor +deserialization devtools dotenv +downsampling dr entityId entityStream epel-release +EVAL findAllPeople findByAddress_City findByAgeBetween @@ -197,6 +200,7 @@ geo-location getters gpg gpgcheck=1 +hardcode hmmm homeLoc homebrew @@ -226,6 +230,8 @@ locationRouter locationUpdated lon lsb_release +LUA +LZO macOS maxAge minAge @@ -241,7 +247,9 @@ personalStatement piña postalCode predictively +prev profiler +programmatically redis redis-benchmark redis-cli @@ -293,6 +301,7 @@ x86 XDEL XLEN xml +ziplist zshrc REPL Slowlog diff --git a/docs/ui/insight/get-started.md b/docs/ui/insight/get-started.md index 3fcc5655..f1b2ff70 100644 --- a/docs/ui/insight/get-started.md +++ b/docs/ui/insight/get-started.md @@ -17,7 +17,7 @@ You can use RedisInsight on MacOS, Linux, or Windows. Redis offers RedisInsight on Intel and M1. -1. Download [RedisInsinght](https://redis.com/redis-enterprise/redis-insight). +1. Download [RedisInsight](https://redis.com/redis-enterprise/redis-insight). 1. Add RedisInsight to **Applications**. @@ -35,7 +35,7 @@ RedisInsight is available for Linux as a Debian or AppImage package. You can als For Debian: -1. Download [RedisInsinght](https://redis.com/redis-enterprise/redis-insight). +1. Download [RedisInsight](https://redis.com/redis-enterprise/redis-insight). 2. Open the Linux command line and install the package. @@ -45,7 +45,7 @@ sudo apt install ./RedisInsight-v2-linux-amd64.deb For AppImage: -1. Download [RedisInsinght](https://redis.com/redis-enterprise/redis-insight). +1. Download [RedisInsight](https://redis.com/redis-enterprise/redis-insight). 2. Make your downloaded file into an executable. @@ -65,7 +65,7 @@ To resume your journey, [start Redis Stack Server](#start-redis-stack-server). **Install on Windows** -1. Download [RedisInsinght](https://redis.com/redis-enterprise/redis-insight). +1. Download [RedisInsight](https://redis.com/redis-enterprise/redis-insight). 2. Double-click the `RedisInsight-v2-win-installer.exe` file. From 41d7eeceeac5f063f241f611d179298de56b54b6 Mon Sep 17 00:00:00 2001 From: Nermina Miller Date: Fri, 24 Feb 2023 11:23:20 -0500 Subject: [PATCH 10/37] Updates dictionary --- dictionary.txt | 26 ++++++++++++++++++++++++++ 1 file changed, 26 insertions(+) diff --git a/dictionary.txt b/dictionary.txt index 04dd517e..0cc5ef87 100644 --- a/dictionary.txt +++ b/dictionary.txt @@ -302,6 +302,32 @@ XDEL XLEN xml ziplist +ziplists zshrc REPL Slowlog +Lua +8k +3MB +85MB +redis-server +cron +serializer +MessagePack +Sanfilippo +Protobuf +bitset +Hyperloglog +SHA1 +sharding +datashards +gzip +IntSet +CRC32 +enums +hash-max-ziplist-entries +hash-max-ziplist-values +NamedTuple +MD5 +resharding +8kb \ No newline at end of file From e16ba58a0c2b783efe8b92386f52b92fc45a027a Mon Sep 17 00:00:00 2001 From: Nermina Miller Date: Fri, 24 Feb 2023 11:29:00 -0500 Subject: [PATCH 11/37] Updates dictionary --- dictionary.txt | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/dictionary.txt b/dictionary.txt index 0cc5ef87..f333ad39 100644 --- a/dictionary.txt +++ b/dictionary.txt @@ -330,4 +330,8 @@ hash-max-ziplist-values NamedTuple MD5 resharding -8kb \ No newline at end of file +8kb +prev- +Snapcraft +Flathub +Autodiscover \ No newline at end of file From 3336c1da9e110d95778d71d1fb33d67ba9ecec24 Mon Sep 17 00:00:00 2001 From: Nermina Miller Date: Fri, 24 Feb 2023 11:31:02 -0500 Subject: [PATCH 12/37] Updates dictionary --- dictionary.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/dictionary.txt b/dictionary.txt index f333ad39..9efb0294 100644 --- a/dictionary.txt +++ b/dictionary.txt @@ -333,5 +333,5 @@ resharding 8kb prev- Snapcraft -Flathub +FlatHub Autodiscover \ No newline at end of file From a672f0493465049487ac2c0375dfda6db35547bd Mon Sep 17 00:00:00 2001 From: Nermina Miller Date: Mon, 13 Mar 2023 00:06:39 -0400 Subject: [PATCH 13/37] Updates best practices --- docs/ui/insight/best-practices.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/ui/insight/best-practices.md b/docs/ui/insight/best-practices.md index e3af0e28..88075c1d 100644 --- a/docs/ui/insight/best-practices.md +++ b/docs/ui/insight/best-practices.md @@ -156,9 +156,9 @@ The ziplist implementation in Redis achieves its small memory size by storing on This brevity comes at a cost because more time is required to change the size and retrieve the entry. Hence, there is an increase in latency and possibly increase in CPU utilization on your Redis server. -{{< note >}} +NOTE: Similarly, sorted sets can also be converted to ziplists, but the only difference is that `zset-max-ziplist-entries` is 128, which is less than for hashes. -{{< /note >}} + ### Switch from set to IntSet From 3247d2ff7d39f96465b92a540637e55f8298967b Mon Sep 17 00:00:00 2001 From: Nermina Miller Date: Mon, 13 Mar 2023 00:48:15 -0400 Subject: [PATCH 14/37] Updates install instructions per Pieter's feedback --- docs/ui/insight/get-started.md | 50 +++++++++++++++++++++------------- 1 file changed, 31 insertions(+), 19 deletions(-) diff --git a/docs/ui/insight/get-started.md b/docs/ui/insight/get-started.md index f1b2ff70..7aea9bf6 100644 --- a/docs/ui/insight/get-started.md +++ b/docs/ui/insight/get-started.md @@ -9,11 +9,13 @@ weight: 40 RedisInsight is available as a standalone download or [bundled with Redis Stack](/docs/stack/get-started/install). Install it and try the in-app examples available in Workbench. -## Install standalone RedisInsight - You can use RedisInsight on MacOS, Linux, or Windows. -**Install on MacOS** +## Install on MacOS + +You can install RedisInsight for MacOS from the Redis website or Homebrew. (Redis plans to release the RedisInsight app in Apple Store.) + +### Redis website Redis offers RedisInsight on Intel and M1. @@ -21,7 +23,15 @@ Redis offers RedisInsight on Intel and M1. 1. Add RedisInsight to **Applications**. -1. From your Terminal, run this command. +### Homebrew + +``` +brew install --cask redisinsight +``` + +### Run RedisInsight + +From your Terminal, run this command. ``` redisinsight @@ -29,11 +39,21 @@ redisinsight To resume your journey, [start Redis Stack Server](#start-redis-stack-server). -**Install on Linux** +## Install on Windows + +1. Download [RedisInsight](https://redis.com/redis-enterprise/redis-insight). + +2. Open the `RedisInsight-v2-win-installer.exe` file. + +3. Open the RedisInsight icon. + +To resume your journey, [start Redis Stack Server](#start-redis-stack-server). + +## Install on Linux RedisInsight is available for Linux as a Debian or AppImage package. You can also install it from [Snapcraft](https://snapcraft.io/redisinsight) or [FlatHub](https://flathub.org/apps/details/com.redis.RedisInsight) using instructions available at those sites. -For Debian: +### Debian 1. Download [RedisInsight](https://redis.com/redis-enterprise/redis-insight). @@ -43,7 +63,7 @@ For Debian: sudo apt install ./RedisInsight-v2-linux-amd64.deb ``` -For AppImage: +### AppImage 1. Download [RedisInsight](https://redis.com/redis-enterprise/redis-insight). @@ -54,26 +74,18 @@ For AppImage: ``` -3. Open the Linux command line and navigate to the folder containing the downloaded file. To open RedisInsight, run this command. +### Run RedisInsight + +Open the Linux command line and navigate to the folder containing the downloaded file. Then, run: ``` ./RedisInsight-v2-linux-x86_64.AppImage ``` -To resume your journey, [start Redis Stack Server](#start-redis-stack-server). - -**Install on Windows** - -1. Download [RedisInsight](https://redis.com/redis-enterprise/redis-insight). - -2. Double-click the `RedisInsight-v2-win-installer.exe` file. - -3. Double-click the RedisInsight icon. - ## Start Redis Stack Server -You can now start Redis Stack Server as follows: +You can now start Redis Stack Server. ```bash redis-stack-server From 1975d86d7f9d61eb03e755f9d3abf2c67bdf7485 Mon Sep 17 00:00:00 2001 From: Nermina Miller Date: Mon, 3 Apr 2023 01:19:46 -0400 Subject: [PATCH 15/37] Adds more topics --- docs/ui/insight/_index.md | 2 +- docs/ui/insight/best-practices.md | 4 +- docs/ui/insight/database-recommendations.md | 229 ++++++++++++++++++ docs/ui/insight/examples.md | 45 ++-- docs/ui/insight/get-started.md | 61 +++-- docs/ui/insight/images/create_time_series.png | Bin 0 -> 52442 bytes .../insight/images/time_series_compaction.png | Bin 0 -> 101326 bytes docs/ui/insight/images/workbench_tutorial.png | Bin 0 -> 25995 bytes docs/ui/insight/tools.md | 2 +- 9 files changed, 292 insertions(+), 51 deletions(-) create mode 100644 docs/ui/insight/database-recommendations.md create mode 100644 docs/ui/insight/images/create_time_series.png create mode 100644 docs/ui/insight/images/time_series_compaction.png create mode 100644 docs/ui/insight/images/workbench_tutorial.png diff --git a/docs/ui/insight/_index.md b/docs/ui/insight/_index.md index d0dc7b91..da0c6a52 100644 --- a/docs/ui/insight/_index.md +++ b/docs/ui/insight/_index.md @@ -2,7 +2,7 @@ title: RedisInsight linkTitle: RedisInsight description: Visualize and optimize Redis data -weight: 30 +weight: 10 aliases: - /docs/stack/insight --- diff --git a/docs/ui/insight/best-practices.md b/docs/ui/insight/best-practices.md index 88075c1d..2c0bef66 100644 --- a/docs/ui/insight/best-practices.md +++ b/docs/ui/insight/best-practices.md @@ -2,11 +2,11 @@ title: Developer best practices linkTitle: Best practices description: Apply best developer practices -weight: 60 +weight: 50 --- -RedisInsight can monitor the health of your databases and provide recommendations to increase memory efficiency in Redis. +Learn how to increase memory efficiency in Redis. ## Avoid dynamic Lua script diff --git a/docs/ui/insight/database-recommendations.md b/docs/ui/insight/database-recommendations.md new file mode 100644 index 00000000..d5f025a6 --- /dev/null +++ b/docs/ui/insight/database-recommendations.md @@ -0,0 +1,229 @@ +--- +title: Database recommendations +linkTitle: Database recommendations +description: Optimize usage of Redis databases +weight: 40 + +--- + +RedisInsight provides database recommendations to enable you to use your databases more efficiently, leading to performance increase and memory usage optimization. + +## Avoid dynamic Lua script + +### Conditions + +Used_memory_lua > 3,000,000 (3M) bytes + +### Recommendations + +* Avoid dynamic Lua script +* Refrain from generating dynamic scripts, which can cause your Lua cache to grow and get out of control. Memory is consumed as scripts are loaded. If you have to use dynamic Lua scripts, then remember to track your Lua memory consumption and flush the cache periodically with a `SCRIPT FLUSH` +* Do not hardcode and/or programmatically generate key names in your Lua scripts because it makes them useless in a clustered Redis setup. + +## Switch to 32-bits + +### Conditions + +* Data is stored in 64-bits. +* The database is less than 3 GB. + +### Recommendations + +When you set an expiry on a key, Redis does not expire it at that instant, which consumes memory to hold keys that have already expired. + +Follow one of these steps to reclaim the memory: + +* Restart your redis-server. +* Increase `memorysamples` in `redis.conf` (default is `5`, max is `10`) so that expired keys are reclaimed faster. Keep in mind that increasing it costs more CPU cycles and affects the latency of commands. +* Set up a cron job that runs the scan command after an interval, which helps to reclaim the memory of the expired keys. +* Increase the expiry of keys. + +## Reclaim expired keys' memory faster + +### Conditions + +1. Run the `INFO` command and find the `total_memory_used` and sum of all the keys for all the databases. +1. Then take a Redis Dump (RDB) and find out the total memory and the total number of keys. +1. If the difference is more than 5%, (keys in Redis - keys in the RDB)/keys in Redis >5%), RedisInsight displays the recommendation. + +### Recommendations + +Reclaim expired keys' memory faster. + +## Change serializer + +### Conditions + +The following regular means of serializing are detected: + +* JSON Serializer +* Java serialized objects +* Python Pickle +* PHP Serializer +* Unknown Serializer + +### Recommendations + +Redis stores serialized objects as byte arrays, so regular means of serializing can be of larger size, impacting the memory consumption and latency. Instead of using the default serializer of your programming language, switch to another library like Protocol Buffers, MessagePack, and so on. + +## Combine small strings to hashes + +### Conditions + +The following conditions are met: + +* More than 1000 strings whose values are not encoded. +* The key size is smaller than 200 bytes. + +### Recommendations + +Strings data type has an overhead of about 90 bytes on a 64-bit machine. If different expiration values for these keys are not required, combine small strings into a larger hash to optimize the memory usage. Also, ensure that the hash has less than `hash-max-ziplist-entries` elements, and the size of each element is within `hash-max-ziplist-values` bytes. This approach should not be used if you need different expiration values for string keys. + +## Convert hashtable to ziplist for hashes + +### Conditions + +* Number of hash entries exceeds `hash-max-ziplist-entries`. +* Number of bytes for the string value exceeds `hash-max-ziplist-values`. + +### Recommendations + +Increase `hash-max-ziplist-entries` and/or `hash-max-ziplist-values` (display the numbers calculated). +If any value for a key exceeds `hash-max-ziplist-entries` or `hash-max-ziplist-values`, it is stored automatically as a hashtable instead of a ziplist, which consumes almost double the memory. +To save the memory, increase the configurations and convert your hashtables to ziplists. The trade-off can be an increase in latency and possibly an increase in CPU utilization. + +## Convert hashtable to ziplist for sorted sets + +### Conditions + +* Number of sorted set members exceeds `zset-max-ziplist-entries`. +* Number of bytes for the string member exceeds `zset-max-ziplist-values`. + +### Recommendations + +Increase `zset-max-ziplist-entries` and/or `zset-max-ziplist-values` (display the numbers calculated). +If any value for a key exceeds `zset-max-ziplist-entries` or `zset-max-ziplist-values`, it is stored automatically as a hashtable instead of a ziplist, which consumes almost double the memory. +To save the memory, increase the configurations and convert your hashtables to ziplists. The trade-off can be an increase in latency and possibly an increase in CPU utilization. + +## Switch from set to IntSet + +### Conditions + +Found set values that contain strings. + +### Recommendations + +Sets that contain only integers are extremely efficient memory-wise. Try to use integers. Map string identifiers to integers, by either using `enum`s in your programming language or using a Redis hash data structure to map values to integers. Once you switch to integers, Redis uses the `IntSet` encoding internally. The `IntSet` encoding is extremely memory efficient. By default, the value of `set-max-intset-entries` is `512` and is configurable in `redis.conf`. However, increasing this value leads to an increase in latency of set operations and CPU utilization. To verify the latency numbers, run `INFO COMMANDSTATS` before and after making this change. + +## Increase the set-max-intset-entries + +### Conditions + +Found sets with length > `set-max-intset-entries`. + +### Recommendations + +Several set values with `IntSet` encoding exceed the `set-max-intset-entries`. To efficiently use the `IntSet` encoding, change the configuration in `redis.conf`. Note that increasing this value leads to an increase in latency of set operations and CPU utilization. To verify the latency numbers, run `INFO COMMANDSTATS` before and after making this change. + +## Use smaller keys + +### Conditions + +The database has 1M+ keys. + +### Recommendations + +Shorten key names to optimize memory usage. Even though descriptive key names are better, large key names consume memory. + +## Convert to a list instead of a hash + +### Conditions + +* Hash length > 5,000. +* FT.SEARCH is not loaded or there is no index created. + +### Recommendations + +A Redis hash stores field names and values. +If you have thousands of small hash objects with similar field names, the memory used by field names adds up. +To prevent this, consider using a Redis list instead of a hash. +Convert field names into indexes in the list. +While this may save memory, you should only use this approach if you have thousands of hashes and if each of those hashes has similar fields. +However, this approach is not recommended when you have more than 512 fields in your hash, or the size of your hash values is not consistent (for instance, when some hashes contain only a few field-value pairs while others contain many). + +## Shard big hashes to small hashes + +### Conditions + +Found hashes with length > 5,000. + +### Recommendations + +If you have a hash with a large number of key/value pairs, and if each key/value pair is small enough, break it into smaller hashes to save memory. To shard a `HASH` table, choose a method of partitioning the data. Hashes themselves have keys that can be used for partitioning the keys into different shards. The number of shards is determined by the total number of keys to be stored and the shard size. Using this and the hash value you can determine the shard ID in which the key resides. Note that converting big hashes to small hashes increases the complexity of your code. + +## Compress Hash field names + +### Conditions + +Hash length > 5,000. + +### Recommendations + +Hash field name also consumes memory, so use smaller or shortened field names to reduce memory usage. + +## Compress values + +### Conditions + +The difference between the actual and compressed values is more than 5%. + +### Recommendations + +Compress the data before storing it in Redis to optimize the memory (sometimes even between 30-50%), increase the throughput, reduce the payload, and decrease latency. There are several compression algorithms to choose from, each with its trade-offs. Snappy aims for high speed and reasonable compression. LZO compresses fast and decompresses faster. Others, such as Gzip, are more widely available. To avoid CPU increases, do not compress short strings and unstructured data. + +## Enable compression for the list + +### Conditions + +The difference between actual and compressed values is more than 5%. + +### Recommendations + +If you use long lists and mostly access elements from the head and tail only, you can enable compression. +To compress every list node except the head and tail of the list, in `redis.conf` set `list-compression-depth=1`. Even though list operations that involve elements in the center of the list become slower, the compression can increase CPU utilization. +Run `INFO COMMANDSTATS` before and after making this change to verify the latency numbers. + +## Do not open a new connection for every request/command + +### Conditions + +Connected_clients > 100 + +### Recommendations + +When the value of your `total_connections_received` in the stats section is high, it usually means that your application is opening and closing a connection for every request it makes. +Opening a connection is an expensive operation that adds to both client and server latency. +To rectify this, consult your Redis client documentation and configure your Redis to use persistent connections. + +## Rename or disable dangerous commands + +### Conditions + +One of the commands from `ACL CAT @dangerous` is not disabled or renamed. + +### Recommendations + +`{commands}` are currently not renamed or disabled for your instance. +Carefully manage these commands. +Consider renaming or disabling them, especially for the production environment. + +## Do not store large strings + +### Conditions + +String length > 5M bytes is found. + +### Recommendations + +Avoid storing large strings, because transferring them takes time and consumes the network bandwidth. Large keys are acceptable only to read/write portions of the string. + diff --git a/docs/ui/insight/examples.md b/docs/ui/insight/examples.md index d04d7db0..530d930e 100644 --- a/docs/ui/insight/examples.md +++ b/docs/ui/insight/examples.md @@ -2,31 +2,32 @@ title: "RedisInsight examples" linkTitle: Examples description: -weight: 70 +weight: 60 +aliases: + - /docs/stack/insight/tutorials/insight-stream-consumer --- - RedisInsight allows you to browse, filter, and visualize key-value Redis data structures. It supports CRUD operation for lists, hashes, strings, sets, sorted sets, and so on. You can take advantage of built-in examples in Workbench to learn about the data structures. We'll guide you through one of those examples here and show you other practical ways to use RedisInsight with your databases. ## Use RedisInsight to manage time series -Examples you find in Workbench allow you interact with some sample data in a few taps. For this orientation, we will use an example called _Redis for time series_. If you haven't done so, install [Redis Stack](/docs/stack/get-started/install). Then navigate to this example in Workbench, read the introduction, then tap the first button to create five time series for bike shops. +Examples you find in Workbench allow you interact with some sample data in a few taps. For this orientation, we will use an example called _Redis for time series_. + + + +If you haven't done so, install [Redis Stack](/docs/stack/get-started/install) and connect to a database. To try the tutorials, you can create a database manually using RedisInsight instructions. Then navigate to this example in Workbench and read the introduction. Next, you will create time series for bike shops. **Step 1: Create a time series per bike shop** -```bash - TS.CREATE bike_sales_1 DUPLICATE_POLICY SUM LABELS region east compacted no - TS.CREATE bike_sales_2 DUPLICATE_POLICY SUM LABELS region east compacted no - TS.CREATE bike_sales_3 DUPLICATE_POLICY SUM LABELS region west compacted no - TS.CREATE bike_sales_4 DUPLICATE_POLICY SUM LABELS region west compacted no - TS.CREATE bike_sales_5 DUPLICATE_POLICY SUM LABELS region west compacted no -``` +Select the **Create time series per shop** button to create five time series for bike shops. + + This creates a time series per shop, tracking the total amount of all sales. As you can tell from the labels, each time series is marked `east` or `west` to query bike sales by time periods, shop, region, or across all shops. -Each shop has a numbered id. We also add the `DUPLICATE_POLICY SUM` argument to describe what should be done when two events in the same time series share the same timestamp. +Each shop has a numbered id. You also add the `DUPLICATE_POLICY SUM` argument to describe what should be done when two events in the same time series share the same timestamp. Here, we assume two sales happen at exactly the same time, resulting in a value that is the sum of two sales values. -If you're running this example from your command line, you'll see Redis `OK` responses. But, you can also follow along in Workbench by tapping the right arrow. +If you're running this example from your command line, you'll see Redis `OK` responses. But, you can also follow along in Workbench by selecting the right arrow. Because the metrics are collected with a millisecond timestamp, you can compact the time series into sales per hour. @@ -34,23 +35,25 @@ Because the metrics are collected with a millisecond timestamp, you can compact Redis Stack supports downsampling with these aggregations: `avg`, `sum`, `min`, `max`, `range`, `count`, `first`, and `last`. If you want to keep all of your raw data points indefinitely, your data set grows linearly over time. However, if your use case allows you to have less fine-grained data further back in time, you can apply downsampling. This allows you to keep fewer historical data points by aggregating raw data for a given time window using a given aggregation function. -``` - TS.CREATERULE bike_sales_5 bike_sales_5_per_day AGGREGATION sum 86400000 -``` +Select the **Time series compaction** button to create five time series for bike shops. + + + +Follow the remaining steps in Workbench to load more data points and get sales based on different queries. -Try other data structure examples in Workbench and let us know if you'd like to contribute your own examples. +Try other data structure examples in Workbench. Share your Redis expertise with your team and the wider community by building custom RedisInsight tutorials. Use our [instructions](https://github.com/RedisInsight/Tutorials) to describe your implementations of Redis for other users to follow and interact with in the context of a connected Redis database. ## Use RedisInsight to manage streams and consumer groups +In this example, you will learn how to create and work with streams and consumer groups in RedisInsight. + A _stream_ is an append-only log file. When you add data to it, you cannot change it. -That may seem like a disadvantage; however, a stream serves as a log or single source of truth. +That may seem like a disadvantage. However, a stream serves as a log or single source of truth. It can also be used as a buffer between processes that work at different speeds and do not need to know about each other. For more conceptual information about streams, see [Redis Streams](/docs/manual/data-types/streams). -In this example, you will learn how to add and work with streams as well as consumer groups in RedisInsight. - -Here's a stream that models temperature and humidity sensors. Processes interacting with the stream perform one of two roles: _consumer_ and _producer_. +Let's assume you have a stream that models temperature and humidity sensors. Processes interacting with the stream perform one of two roles: _consumer_ and _producer_. The point of a stream is that it's not going to end, so you cannot capture whole datasets and do some processing on them. In this stream, sensors are considered _producers_, which broadcast data. @@ -59,7 +62,7 @@ For example, if the temperature is above a certain threshold, it puts a message -It is possible to have multiple consumers doing different jobs, one measuring humidity, and another taking temperature measurements over periods of time. +It is possible to have multiple consumers doing different jobs: one measuring humidity and another taking temperature measurements over periods of time. Redis stores a copy of the entire dataset in memory, which is a finite resource. To avoid runaway data, streams can be trimmed when you add something to them. When adding to a stream with `XADD`, you can optionally specify that the stream should be trimmed to a specific or approximate number of the newest entries, or to only include entries whose ID is higher than the ID specified. diff --git a/docs/ui/insight/get-started.md b/docs/ui/insight/get-started.md index 7aea9bf6..e86ddf2b 100644 --- a/docs/ui/insight/get-started.md +++ b/docs/ui/insight/get-started.md @@ -2,20 +2,35 @@ title: Get started with RedisInsight linkTitle: Get started description: Get started with RedisInsight -weight: 40 +weight: 20 --- -RedisInsight is available as a standalone download or [bundled with Redis Stack](/docs/stack/get-started/install). Install it and try the in-app examples available in Workbench. +RedisInsight is available as a standalone download or [bundled with Redis Stack](/docs/stack/get-started/install). Install it and try the in-app examples available in Workbench. For more information, see [Examples](/docs/ui/insight/examples). +You can use RedisInsight on Windows, MacOS, or Linux. -You can use RedisInsight on MacOS, Linux, or Windows. +## Install on Windows + +### From website + +1. Download [RedisInsight](https://redis.com/redis-enterprise/redis-insight). + +2. Open the `RedisInsight-v2-win-installer.exe` file. + +3. Open the RedisInsight icon. + +### From stores + +Go to [Microsoft Windows Apps](https://apps.microsoft.com/store/detail/redisinsight/XP8K1GHCB0F1R2) and download the RedisInsight app. + +To resume your journey, [start Redis Stack Server](#start-redis-stack-server). ## Install on MacOS You can install RedisInsight for MacOS from the Redis website or Homebrew. (Redis plans to release the RedisInsight app in Apple Store.) -### Redis website +### From website Redis offers RedisInsight on Intel and M1. @@ -39,40 +54,34 @@ redisinsight To resume your journey, [start Redis Stack Server](#start-redis-stack-server). -## Install on Windows - -1. Download [RedisInsight](https://redis.com/redis-enterprise/redis-insight). - -2. Open the `RedisInsight-v2-win-installer.exe` file. - -3. Open the RedisInsight icon. - -To resume your journey, [start Redis Stack Server](#start-redis-stack-server). - ## Install on Linux -RedisInsight is available for Linux as a Debian or AppImage package. You can also install it from [Snapcraft](https://snapcraft.io/redisinsight) or [FlatHub](https://flathub.org/apps/details/com.redis.RedisInsight) using instructions available at those sites. +### From website + +RedisInsight is available for Linux as a Debian or AppImage package. -### Debian +### From website 1. Download [RedisInsight](https://redis.com/redis-enterprise/redis-insight). -2. Open the Linux command line and install the package. +1. Open the Linux command line and install the package. -``` -sudo apt install ./RedisInsight-v2-linux-amd64.deb -``` + For Debian, run: -### AppImage + ``` + sudo apt install ./RedisInsight-v2-linux-amd64.deb + ``` -1. Download [RedisInsight](https://redis.com/redis-enterprise/redis-insight). + For AppImage, make your downloaded file into an executable. + + ``` + chmod a+x RedisInsight-v2-linux-x86_64.AppImage -2. 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a/docs/ui/insight/tools.md +++ b/docs/ui/insight/tools.md @@ -2,7 +2,7 @@ title: RedisInsight tools linkTitle: Tools description: Learn about RedisInsight features -weight: 50 +weight: 30 --- From 596dfd0814cb8a2f57cb59567edfca3fb7ffeb40 Mon Sep 17 00:00:00 2001 From: Nermina Miller Date: Mon, 3 Apr 2023 01:24:17 -0400 Subject: [PATCH 16/37] Updates dictionary --- dictionary.txt | 11 ++++++++++- 1 file changed, 10 insertions(+), 1 deletion(-) diff --git a/dictionary.txt b/dictionary.txt index 9efb0294..7648f797 100644 --- a/dictionary.txt +++ b/dictionary.txt @@ -1,3 +1,5 @@ +1M +5M .env .inRadius 01FY9MWDTWW4XQNTPJ9XY9FPMN @@ -54,6 +56,7 @@ GeoLocation geo-replicated Geospatial Github +Gzip Hemsworth Homebrew HyperLogLog @@ -126,12 +129,14 @@ RedisTimeSeries RSALv2 SaaS SDK +set-max-intset-entries SKU SLOWLOG SMS SRANDMEMBER SSPL Scarlett +Serializer SkeletonApplication SortOrder.ASC Springfox @@ -201,6 +206,8 @@ getters gpg gpgcheck=1 hardcode +hashtable +hashtables hmmm homeLoc homebrew @@ -250,6 +257,7 @@ predictively prev profiler programmatically +RDB redis redis-benchmark redis-cli @@ -334,4 +342,5 @@ resharding prev- Snapcraft FlatHub -Autodiscover \ No newline at end of file +Autodiscover +Used_memory_lua \ No newline at end of file From 0af0aea0529e55300f2f9ac5a3e63181df7d1801 Mon Sep 17 00:00:00 2001 From: Nermina Miller Date: Mon, 3 Apr 2023 09:21:14 -0400 Subject: [PATCH 17/37] Removes tabs --- docs/ui/insight/database-recommendations.md | 30 ++++++++++----------- docs/ui/insight/examples.md | 2 +- 2 files changed, 16 insertions(+), 16 deletions(-) diff --git a/docs/ui/insight/database-recommendations.md b/docs/ui/insight/database-recommendations.md index d5f025a6..aecf69b6 100644 --- a/docs/ui/insight/database-recommendations.md +++ b/docs/ui/insight/database-recommendations.md @@ -8,7 +8,7 @@ weight: 40 RedisInsight provides database recommendations to enable you to use your databases more efficiently, leading to performance increase and memory usage optimization. -## Avoid dynamic Lua script +## Avoid dynamic Lua script ### Conditions @@ -20,7 +20,7 @@ Used_memory_lua > 3,000,000 (3M) bytes * Refrain from generating dynamic scripts, which can cause your Lua cache to grow and get out of control. Memory is consumed as scripts are loaded. If you have to use dynamic Lua scripts, then remember to track your Lua memory consumption and flush the cache periodically with a `SCRIPT FLUSH` * Do not hardcode and/or programmatically generate key names in your Lua scripts because it makes them useless in a clustered Redis setup. -## Switch to 32-bits +## Switch to 32-bits ### Conditions @@ -38,19 +38,19 @@ Follow one of these steps to reclaim the memory: * Set up a cron job that runs the scan command after an interval, which helps to reclaim the memory of the expired keys. * Increase the expiry of keys. -## Reclaim expired keys' memory faster +## Reclaim expired keys' memory faster ### Conditions 1. Run the `INFO` command and find the `total_memory_used` and sum of all the keys for all the databases. 1. Then take a Redis Dump (RDB) and find out the total memory and the total number of keys. -1. If the difference is more than 5%, (keys in Redis - keys in the RDB)/keys in Redis >5%), RedisInsight displays the recommendation. +1. If the difference is more than 5%, (keys in Redis - keys in the RDB)/keys in Redis > 5%), RedisInsight displays the recommendation. ### Recommendations Reclaim expired keys' memory faster. -## Change serializer +## Change serializer ### Conditions @@ -92,7 +92,7 @@ Increase `hash-max-ziplist-entries` and/or `hash-max-ziplist-values` (display th If any value for a key exceeds `hash-max-ziplist-entries` or `hash-max-ziplist-values`, it is stored automatically as a hashtable instead of a ziplist, which consumes almost double the memory. To save the memory, increase the configurations and convert your hashtables to ziplists. The trade-off can be an increase in latency and possibly an increase in CPU utilization. -## Convert hashtable to ziplist for sorted sets +## Convert hashtable to ziplist for sorted sets ### Conditions @@ -115,7 +115,7 @@ Found set values that contain strings. Sets that contain only integers are extremely efficient memory-wise. Try to use integers. Map string identifiers to integers, by either using `enum`s in your programming language or using a Redis hash data structure to map values to integers. Once you switch to integers, Redis uses the `IntSet` encoding internally. The `IntSet` encoding is extremely memory efficient. By default, the value of `set-max-intset-entries` is `512` and is configurable in `redis.conf`. However, increasing this value leads to an increase in latency of set operations and CPU utilization. To verify the latency numbers, run `INFO COMMANDSTATS` before and after making this change. -## Increase the set-max-intset-entries +## Increase the set-max-intset-entries ### Conditions @@ -125,7 +125,7 @@ Found sets with length > `set-max-intset-entries`. Several set values with `IntSet` encoding exceed the `set-max-intset-entries`. To efficiently use the `IntSet` encoding, change the configuration in `redis.conf`. Note that increasing this value leads to an increase in latency of set operations and CPU utilization. To verify the latency numbers, run `INFO COMMANDSTATS` before and after making this change. -## Use smaller keys +## Use smaller keys ### Conditions @@ -135,7 +135,7 @@ The database has 1M+ keys. Shorten key names to optimize memory usage. Even though descriptive key names are better, large key names consume memory. -## Convert to a list instead of a hash +## Convert to a list instead of a hash ### Conditions @@ -151,17 +151,17 @@ Convert field names into indexes in the list. While this may save memory, you should only use this approach if you have thousands of hashes and if each of those hashes has similar fields. However, this approach is not recommended when you have more than 512 fields in your hash, or the size of your hash values is not consistent (for instance, when some hashes contain only a few field-value pairs while others contain many). -## Shard big hashes to small hashes +## Shard big hashes to small hashes ### Conditions -Found hashes with length > 5,000. +Found hashes with length > 5,000. ### Recommendations If you have a hash with a large number of key/value pairs, and if each key/value pair is small enough, break it into smaller hashes to save memory. To shard a `HASH` table, choose a method of partitioning the data. Hashes themselves have keys that can be used for partitioning the keys into different shards. The number of shards is determined by the total number of keys to be stored and the shard size. Using this and the hash value you can determine the shard ID in which the key resides. Note that converting big hashes to small hashes increases the complexity of your code. -## Compress Hash field names +## Compress Hash field names ### Conditions @@ -171,7 +171,7 @@ Hash length > 5,000. Hash field name also consumes memory, so use smaller or shortened field names to reduce memory usage. -## Compress values +## Compress values ### Conditions @@ -181,7 +181,7 @@ The difference between the actual and compressed values is more than 5%. Compress the data before storing it in Redis to optimize the memory (sometimes even between 30-50%), increase the throughput, reduce the payload, and decrease latency. There are several compression algorithms to choose from, each with its trade-offs. Snappy aims for high speed and reasonable compression. LZO compresses fast and decompresses faster. Others, such as Gzip, are more widely available. To avoid CPU increases, do not compress short strings and unstructured data. -## Enable compression for the list +## Enable compression for the list ### Conditions @@ -193,7 +193,7 @@ If you use long lists and mostly access elements from the head and tail only, yo To compress every list node except the head and tail of the list, in `redis.conf` set `list-compression-depth=1`. Even though list operations that involve elements in the center of the list become slower, the compression can increase CPU utilization. Run `INFO COMMANDSTATS` before and after making this change to verify the latency numbers. -## Do not open a new connection for every request/command +## Do not open a new connection for every request/command ### Conditions diff --git a/docs/ui/insight/examples.md b/docs/ui/insight/examples.md index 530d930e..3a84b3fa 100644 --- a/docs/ui/insight/examples.md +++ b/docs/ui/insight/examples.md @@ -4,7 +4,7 @@ linkTitle: Examples description: weight: 60 aliases: - - /docs/stack/insight/tutorials/insight-stream-consumer + - /docs/stack/insight/tutorials/insight-stream-consumer --- RedisInsight allows you to browse, filter, and visualize key-value Redis data structures. It supports CRUD operation for lists, hashes, strings, sets, sorted sets, and so on. You can take advantage of built-in examples in Workbench to learn about the data structures. We'll guide you through one of those examples here and show you other practical ways to use RedisInsight with your databases. From cac928db0d7e5e1442a8bd853846d7cfb920d0aa Mon Sep 17 00:00:00 2001 From: Nermina Miller Date: Mon, 3 Apr 2023 09:24:49 -0400 Subject: [PATCH 18/37] Updates get-started --- docs/ui/insight/get-started.md | 2 -- 1 file changed, 2 deletions(-) diff --git a/docs/ui/insight/get-started.md b/docs/ui/insight/get-started.md index e86ddf2b..f48220d2 100644 --- a/docs/ui/insight/get-started.md +++ b/docs/ui/insight/get-started.md @@ -60,8 +60,6 @@ To resume your journey, [start Redis Stack Server](#start-redis-stack-server). RedisInsight is available for Linux as a Debian or AppImage package. -### From website - 1. Download [RedisInsight](https://redis.com/redis-enterprise/redis-insight). 1. Open the Linux command line and install the package. From ff25c107091bd7d7283ac6c1342293485bafc764 Mon Sep 17 00:00:00 2001 From: Nermina Miller Date: Tue, 11 Apr 2023 10:31:09 -0400 Subject: [PATCH 19/37] Additional updates --- docs/ui/insight/_index.md | 8 +- docs/ui/insight/best-practices.md | 385 ------------------ docs/ui/insight/database-recommendations.md | 229 ----------- docs/ui/insight/examples.md | 78 +--- docs/ui/insight/get-started.md | 53 +-- docs/ui/insight/images/CLI.png | Bin 92521 -> 102222 bytes docs/ui/insight/images/Profiler.png | Bin 190972 -> 78714 bytes docs/ui/insight/images/Workbench_Graph.png | Bin 143529 -> 115164 bytes .../insight/images/Workbench_TimeSeries.png | Bin 163780 -> 113570 bytes docs/ui/insight/images/add_database.png | Bin 0 -> 125484 bytes docs/ui/insight/images/add_key.png | Bin 0 -> 78277 bytes docs/ui/insight/images/consumer.png | Bin 55902 -> 0 bytes docs/ui/insight/images/expiration-time.png | Bin 0 -> 30291 bytes docs/ui/insight/images/insight_streams.png | Bin 50975 -> 28588 bytes docs/ui/insight/images/memory-allocation.png | Bin 0 -> 30802 bytes docs/ui/insight/images/stream.png | Bin 31465 -> 0 bytes docs/ui/insight/images/workbench_tutorial.png | Bin 25995 -> 12749 bytes docs/ui/insight/plugins/_index.md | 18 + docs/ui/insight/plugins/plugin-development.md | 199 +++++++++ .../ui/insight/plugins/plugin-installation.md | 35 ++ docs/ui/insight/tools.md | 120 ------ docs/ui/insight/tools/_index.md | 9 + docs/ui/insight/tools/browser.md | 19 + docs/ui/insight/tools/bulk-actions.md | 15 + docs/ui/insight/tools/cli.md | 16 + .../ui/insight/tools/connection-management.md | 14 + docs/ui/insight/tools/database-analysis.md | 54 +++ docs/ui/insight/tools/profiler.md | 11 + docs/ui/insight/tools/search.md | 11 + docs/ui/insight/tools/slow-log.md | 11 + docs/ui/insight/tools/streams-support.md | 13 + docs/ui/insight/tools/workbench.md | 21 + 32 files changed, 488 insertions(+), 831 deletions(-) delete mode 100644 docs/ui/insight/best-practices.md delete mode 100644 docs/ui/insight/database-recommendations.md create mode 100644 docs/ui/insight/images/add_database.png create mode 100644 docs/ui/insight/images/add_key.png delete mode 100644 docs/ui/insight/images/consumer.png create mode 100644 docs/ui/insight/images/expiration-time.png create mode 100644 docs/ui/insight/images/memory-allocation.png delete mode 100644 docs/ui/insight/images/stream.png create mode 100644 docs/ui/insight/plugins/_index.md create mode 100644 docs/ui/insight/plugins/plugin-development.md create mode 100644 docs/ui/insight/plugins/plugin-installation.md delete mode 100644 docs/ui/insight/tools.md create mode 100644 docs/ui/insight/tools/_index.md create mode 100644 docs/ui/insight/tools/browser.md create mode 100644 docs/ui/insight/tools/bulk-actions.md create mode 100644 docs/ui/insight/tools/cli.md create mode 100644 docs/ui/insight/tools/connection-management.md create mode 100644 docs/ui/insight/tools/database-analysis.md create mode 100644 docs/ui/insight/tools/profiler.md create mode 100644 docs/ui/insight/tools/search.md create mode 100644 docs/ui/insight/tools/slow-log.md create mode 100644 docs/ui/insight/tools/streams-support.md create mode 100644 docs/ui/insight/tools/workbench.md diff --git a/docs/ui/insight/_index.md b/docs/ui/insight/_index.md index da0c6a52..7a6557db 100644 --- a/docs/ui/insight/_index.md +++ b/docs/ui/insight/_index.md @@ -14,4 +14,10 @@ RedisInsight is a powerful tool for visualizing and optimizing data in Redis or To provide your feedback, [open a ticket in our RedisInsight repository](https://github.com/RedisInsight/RedisInsight/issues/new). -RedisInsight is licensed under [SSPL](https://github.com/RedisInsight/RedisInsight/blob/main/LICENSE) license. \ No newline at end of file +RedisInsight is licensed under [SSPL](https://github.com/RedisInsight/RedisInsight/blob/main/LICENSE) license. + +{{% alert title="Note" color="warning" %}} + +RedisInsight includes an opt-in telemetry system. This helps us improve the developer experience of the app. We value your privacy, so all collected data is anonymized. You can disable this feature at any time. +{{% /alert %}} + diff --git a/docs/ui/insight/best-practices.md b/docs/ui/insight/best-practices.md deleted file mode 100644 index 2c0bef66..00000000 --- a/docs/ui/insight/best-practices.md +++ /dev/null @@ -1,385 +0,0 @@ ---- -title: Developer best practices -linkTitle: Best practices -description: Apply best developer practices -weight: 50 - ---- - -Learn how to increase memory efficiency in Redis. - -## Avoid dynamic Lua script - -Refrain from generating dynamic scripts, which can cause your Lua cache to grow and get out of control. -Memory is consumed as scripts are loaded: - -1. By the `server.lua_scripts` dictionary holding original text. -1. Internally by Lua to keep the compiled byte-code. - -So, If you have to use dynamic scripting, then just use plain EVAL, because it doesn't make sense to load them first. - -#### Things to keep in mind if using dynamic Lua scripts - -1. Remember to track your Lua memory consumption and flush the cache periodically with a SCRIPT FLUSH. -1. Do not hardcode and/or programmatically generate key names in your Lua scripts because it makes them useless in a clustered Redis setup. - -## Switch to 32-bits - -Redis gives you these statistics for a 64-bit machine. - -1. An empty instance uses ~ 3MB of memory. -1. 1 million small keys - String Value pairs use ~ 85MB of memory. -1. 1 million keys - Hash value, representing an object with 5 fields, use ~ 160 MB of memory. - -64-bit has more memory available as compared to a 32-bit machine. But if you are sure that your data size does not exceed 3 GB then storing in 32 bits is a good option. - -64-bit systems use considerably more memory than 32-bit systems to store the same keys, especially if the keys and values are small. This is because small keys are allocated full 64 bits resulting in the wastage of the unused bits. - -#### Advantages - -Switching to 32-bit from 64-bit machine can substantially reduce the cost of the machine used and can optimize the usage of memory. - -#### Trade-offs - -For the 32-bit Redis variant, any key name larger than 32 bits requires the key to span to multiple bytes, thereby increasing the memory usage. - -#### When to avoid switching to 32 bit - -If your data size is expected to increase more than 3 GB then you should avoid switching. - -### Reclaim expired keys memory faster - -When you set an expiry on a key, redis does not expire it at that instant. Instead, it uses a [randomized algorithm](https://redis.io/commands/expire) to find out keys that should be expired. Since this algorithm is random, there are chances that the keys are not expired. This means that redis consumes memory to hold keys that have already expired. The moment the key is accessed, it is deleted. - -If there are only a few keys that have expired and redis hasn't deleted them - it is fine. It's only a problem when a large number of keys haven't expired. - -#### Check if memory is not reclaimed after expiry - -1. Run the `INFO` command and find the total_memory_used and sum of all the keys for all the databases. -1. Then take a Redis Dump(RDB) and find out the total memory and total number of keys. - -Looking at the difference you can clearly point out that lot of memory is still not reclaimed for the keys that have expired. - -#### How to reclaim expired keys memory faster - -You can follow one of these three steps to reclaim the memory: - -1. Restart your redis-server -1. To reclaim the expired keys faster, increase memory-samples in redis.conf (default is 5). -1. You can set up a cron job that runs the scan command after an interval which helps in reclaiming the memory of the expired keys. - -#### Trade-offs - -If you increase the `maxmemory-samples` configuration parameter, it expires the keys faster, but it costs more CPU cycles, which increases latency of commands. Secondly, increasing the expiry of keys helps but that requires significant changes to application logic. - -### Use better serializer - -Redis does not have any specific data type to store the serialized objects, they are stored as byte array in Redis. If you are using regular means of serializing our Java, Python, and PHP objects, they can be of larger size which impacts the memory consumption and latency. - -#### Choosing a serializer - -Instead of using the default serializer of your programming language (Java serialized objects, Python pickle, PHP serialize, and so on), switch to a better library like Protocol Buffers, MessagePack, and so on. - -##### MessagePack - -MessagePack is an efficient binary serialization format. It lets you exchange data among multiple languages like JSON. But it's faster and smaller. Small integers are encoded into a single byte, and typical short strings require only one extra byte in addition to the strings themselves. - -As stated by Salvatore Sanfilippo, creator of Redis, "Redis scripting has support for MessagePack because it is a fast and compact serialization format with a simple to implement specification. I liked it so much that I implemented a MessagePack C extension for Lua just to include it into Redis."" - -##### Protocol buffers - -Protocol buffers, usually referred as Protobuf, is a protocol developed by Google to allow serialization and deserialization of structured data. Google developed it with the goal to provide a better way, compared to XML, to make systems communicate. So they focused on making it simpler, smaller, faster, and more maintainable then XML. - -## Data modeling recommendations - -### Combine smaller strings to hashes - -Strings data type has an overhead of about 90 bytes on a 64 bit machine. In other words, calling set foo bar uses about 96 bytes, of which 90 bytes is overhead. You should use the String data type only if: - -1. The value is at least greater than 100 bytes. -1. You are storing encoded data in the string - JSON encoded or Protocol buffer. -1. You are using the string data type as an array or a bitset. - -If you are not doing any of the above, then use **Hashes**. - -#### How to convert strings to hashes - -Suppose you have to store the number of comments on the posts of a user. You can have a key names like `user:{userId}:post:{postId}:comments`. - -This way, you have a key per post for each user. So now if you need to find the total number of comments for whole application you can do: - -```bash -Redis::mget("user:{$userId}:post:1", "user:{$userId}:post:2", ...); -``` - -For converting this to Hash you can do something like this. - -```bash -Redis::hmset("user:{$userId}:comments", "post:1", 20, "post:2", 50); -``` - -This builds a Redis hash with two fields `post:1` and `post:2` holding the values 20 and 50. - -#### Advantages - -Combining small strings to hashes reduces the memory used and in return save a cost. - -Hashes can be encoded to use memory efficiently, so Redis makers recommend that you use hashes whenever possible because a few keys use a lot more memory than a single key containing a hash with a few fields. A key represents a Redis object and holds a lot more information than just its value. On the other hand, a hash field only holds the value assigned, which is much more efficient. - -#### Trade-offs - -Performance comes with a cost. By converting the strings to hash, you conserve memory because it saves only the string value and no extra information like: `idle time`, `expiration`, `object reference count`, and `encoding` related to it. -But, if you want the key with the expiration value, you can't associate it with a hash structure because expiration is not available. - -#### When to avoid combining strings to hashes - -The decision depends on the number of strings. If it less than 1 million and the memory consumption is not high, the conversion is not affected much and there is no point in increasing the complexity of code. - -But, if the strings are more than 1 million and the memory consumption is high, then this approach should definitely be followed. - -### Convert a hash table to ziplist for hashes - -Hashes have two types of encoding: a hash table and ziplist. The decision of storing in which of the data structures in done based on the two configurations Redis provides - `hash-max-ziplist-entries` and `hash-max-ziplist-values`. - -By default the redis configuration parameters have these settings as: - -- hash-max-ziplist-entries = 512 -- hash-max-ziplist-values = 64 - -So if any value for a key exceeds the two configurations it is stored automatically as a hash table instead of a ziplist. A hash table consumes almost double the memory compared to a ziplist. To save your memory, you can increase the two configurations and convert your hash tables to ziplists. - -#### Why ziplists use less memory - -The ziplist implementation in Redis achieves its small memory size by storing only three pieces of data per entry: the length of the previous entry, the length of the current entry, and the stored data. Therefore, ziplists consume less memory. - -#### Trade-offs - -This brevity comes at a cost because more time is required to change the size and retrieve the entry. Hence, there is an increase in latency and possibly increase in CPU utilization on your Redis server. - -NOTE: -Similarly, sorted sets can also be converted to ziplists, but the only difference is that `zset-max-ziplist-entries` is 128, which is less than for hashes. - - -### Switch from set to IntSet - -Sets that contain only integers are extremely efficient memory wise. If your set contains strings, try to use integers by mapping string identifiers to integers. - -You can either use enums in your programming language or you can use a Redis hash data structure to map values to integers. Once you switch to integers, Redis uses the IntSet encoding internally. - -This encoding is extremely memory efficient. By default, the value of `set-max-intset-entries` is 512, but you can set this value in redis.conf. - -#### Trade-offs - -By increasing the value of `set-max-intset-entries`, latency increases in set operations, and CPU utilization is also increased on your Redis server. Check this by running this command before and after making this change. - -```bash -Run `info commandstats` -``` - -### Use smaller keys - -Redis keys can increase the memory consumption for your Redis instances. In general, you should always prefer descriptive keys but if you have a large dataset having millions of keys then these large keys can be expensive. - -#### How to convert to smaller keys - -In a well-written application, switching to shorter keys usually involves updating a few constant strings in the application code. - -You have to identify all the big keys in your Redis instance and shorten it by removing extra characters from it. You can achieve this in two ways: - -1. You can identify the big keys in your Redis instance by using RedisInsight. This gives you details about all the keys and a way to sort your data based on the length of keys. -1. Alternatively, you can run the command `redis-cli --bigkeys`. - -An advantage of using RedisInsight is that it gives you the big keys from the whole dataset, whereas big-key commands run over a certain set of records and return the big keys from that set, hence it is difficult to identify the big keys from the whole dataset using big keys. - -#### Advantages - -Suppose you have 100,000,000 keys name, as follows: - -```bash -my-descriptive-large-keyname (28 characters) -``` - -Now, if you shorten the key name like so: - -```bash -my-des-lg-kn (12 characters) -``` - -You save 16 characters by shortening your key, i.e. 16 bytes, which lets you save **1,000,000,000*16 = 1.6GB of RAM Memory !**. - -#### Trade-offs - -Large keys are more descriptive then shortened keys. Hence, when reading through your database, you may find the keys less relatable but the memory and cost savings much more efficient. - -### Convert to a list instead of hash - -A Redis hash stores field names and values. If you have thousands of small hash objects with similar field names, the memory used by field names adds up. To prevent this, consider using a list instead of a hash. The field names become indexes into the list. - -While this may save memory, you should only use this approach if you have thousands of hashes and if each of those hashes have similar fields. -[Compressed Field Names](#compress-field-names) are another way to reduce memory used by field names. - -Let's take an example. Suppose you want to set user details in Redis. You do something like this: - -```bash -hmset user:123 id 123 firstname Bob lastname Lee -location CA twitter bob_lee -``` - -Now, Redis stores this internally as a ziplist; you can confirm by running debug object user:123 and look at the encoding field. In this encoding, key value pairs are stored sequentially, so the user object you created above would roughly look like this ``["firstname", "Bob", "lastname", "Lee", "location", "CA", "twitter", "bob_lee"]`` - -Now, if you create a second user, the keys are duplicated. If you have a million users, well, it's a big waste repeating the keys again. To get around this, you can borrow a concept from Python, _named tuples_. - -#### How does a NamedTuple work - -A NamedTuple is simply a read-only list, but with some magic to make that list look like a dictionary. Your application needs to maintain a mapping from field names to indexes, like `"firstname" => 0, "lastname" => 1 and so on`. - -Then, you simply create a list instead of a hash, like- `lpush user:123 Bob Lee CA bob_lee`. With the right abstractions in your application, you can save significant memory. - -#### Trade-offs - -The only trade-offs are related to code complexity. Redis internally uses the same encoding (ziplist) for small hashes and small lists, so there is no performance impact when you switch to a list. However, if you have more than 512 fields in your hash, this approach is not recommended. - -#### When to avoid converting hash to list - -Avoid converting hashes to lists when: -1. Your hash contains fewer than 50,000 field-value pairs. -1. The size of your hash values are not consistent (for instance, when some hashes contain only a few field-value pairs while others contain many). - -### Shard big hashes to small hashes - -If you have a hash with a large number of key-value pairs. If each key-value pair is small enough, break it into smaller hashes to save memory. To shard a hash table, you need to choose a method of partitioning your data. - -Hashes themselves have keys that can be used for partitioning the keys into different shards. The number of shards are determined by the total number of keys you want to store and the shard size. Using this and the hash value you can determine the shard ID in which the key resides. - -#### How sharding happens - -- **Numeric keys** - For numeric keys, keys are assigned to a shard ID based on their numeric key value (keeping numerically similar keys in the same shard). - -- **Non-numeric Keys** - For non-numeric keys, CRC32 checksum is used. CRC32 is used in this case because it returns a simple integer without additional work and is fast to calculate (much faster than MD5 or SHA1 hashes). - -#### Things to keep in mind - -Be consistent about the total number of expected elements and the shard size while sharding because these two pieces of information are required to keep the number of shards down. Ideally, you should not change the values because this changes the number of shards. - -If you want to change any one of the values, you should have a process for moving your data from the old datashards to the new data shards (this is generally known as resharding). - -#### Trade-offs - -Converting big hashes to small hashes increases the complexity of your code. - -### Switch from a set to Bloom filter, cuckoo filter, or HyperLogLog - -Suppose you are using large [sets](https://redis.io/docs/data-types/sets/) to solve one of the following problems: - -- Count the number of unique observations in a stream. -- Check if an observation already appeared in the stream. -- Find the fraction or the number of observations in the stream that are smaller or larger than a given value. - -If you are ready to trade accuracy with speed and memory usage, consider using one of the following probabilistic data structures. You can use: - -- [HyperLogLog](https://redis.io/docs/data-types/hyperloglogs/) to estimate the number of unique observations in a set. -- [Bloom filter or cuckoo filter](https://redis.io/docs/stack/bloom/) to check if an observation has already appeared in the stream. False positive matches are possible, but false negatives are not. -- [t-digest](https://redis.io/docs/stack/bloom/) to estimate the fraction or the number of observations in the stream that are smaller or larger than a given value. - -Bloom filter and cuckoo filter require [RedisBloom](https://redis.com/modules/redis-bloom/). - -#### Trade-offs - -Following are the trade-offs of using HyperLogLog: - -1. The results achieved from HyperLogLog are not 100% accurate; they have an approximate standard error of 0.81%. -1. Hyperloglog only tells you the unique count. It cannot tell you the elements in the set. - -For example, if you want to maintain how many unique IP addresses made an API call today, HyperLogLog tells you `46966 unique IPs for today`. - -But if your desired result is `Show me those 46966 IP Addresses`, it cannot show you. To achieve that, you need to maintain all IP addresses in a set. - -### Switch from a sorted set to count-min sketch or top-k - -Suppose you are using large [sorted sets](https://redis.io/docs/data-types/sorted-sets/) to solve one of the following problems: - -- Determine the count of a given observation in a stream. -- Maintain a list of the most frequent observations in a stream. - -If you want to trade accuracy for speed and memory usage, consider using one of the following probabilistic data structures. You can use: - -- Count-min sketch to estimate the count of a given observation in a stream. -- Top-K to maintain a list of the _k_ most frequent observations in a stream. - -Count-min sketch and top-K require [RedisBloom](https://redis.com/modules/redis-bloom/). - -## Data compression methods - -### Compress field names - -A Redis hash consists of fields and their values. Like values, a field name also consumes memory, so it is required to keep in mind while assigning field names. If you have a large number of hashes with similar field names, the memory adds up significantly. -To reduce memory usage, you can use smaller field names. - -#### What does it mean to compress field names - -Referring to the previous example of converting hashes to list, you had a hash with user details. - -```bash -hmset user:123 id 123 firstname Bob lastname Lee -location CA twitter bob_lee -``` - -In this case, firstname, lastname, location, and twitter are field names that can been shortened to `fn`, `ln`, `loc`, and so on. By doing so, you can save some memory that is used by the field names. - -### Compress values - -Redis and clients are typically IO bound and the IO costs are typically at least 2 orders of magnitude in respect to the rest of the request/reply sequence. Redis by default does not compress any value that is stored in it. Therefore, you should compress your data before storing it in Redis. This helps to reduce the payload, which in return gives you higher throughput, lower latency, and higher cost savings. - -#### How to compress strings - -There are several compression algorithms to choose from, each with its own trade-offs. - -1. [Snappy](https://en.wikipedia.org/wiki/Snappy_(compression)) aims for high speed and reasonable compression. -1. LZO compresses fast and decompresses faster. -1. Others, such as gzip, are more widely available. - -The gzip compression uses more CPU resources than Snappy or LZO, but provides a higher compression ratio. gzip is often a good choice for cold data, which is accessed infrequently. Snappy or LZO are a better choice for hot data, which is accessed frequently. - -Compressing strings requires code changes. Some libraries can transparently compress objects, and you would only need to configure your library. In other cases, you might have to compress the data manually. - -#### Advantages - -Compressing strings can save you anywhere between 30 and 50 percent of the memory. By compressing strings, you also reduce the network bandwidth between your application and Redis databases. - -#### Trade-offs - -Compression/decompression requires that your application do the extra work. This trade-off is usually worth it. If you are concerned about additional CPU load, switch to a faster algorithm like Snappy or LZO. - -#### When to avoid compression - -Compression should not be followed blindly. Sometimes compression does not help you reduce your memory but rather increases your CPU utilization. Avoid compression: - -1. For shorter strings: it's likely a waste of time. Short strings generally don't compress much, so the gain would be too small. -1. When the data isn't well structured. JSON and XML are good at compression because they have repeated characters and tags. - -### Enable compression for lists - -A list is just a link list of arrays, where none of the arrays are compressed. By default, Redis does not compress elements inside a list. However, if you use long lists, and mostly access elements from the head and tail only, then you can enable compression. - -You have two configurations: - -* List-max-ziplist-size: 8kb (default) -* List-compression-depth: 0 (default) - -A configuration change in **redis.conf > `list-compression-depth=1`** helps you achieve compression. - -#### About compression depth - -Compression depth is the number of list nodes from each end of the list to leave untouched before you start compressing inner nodes. - -Example: - -1. List-compression-depth=1 compresses every list node except the head and tail of the list. -1. List-compression-depth=2 never compresses the head or head->next or the tail or tail->prev. -1. List-compression-depth=3 starts compression after the head->next->next and before the tail->prev->prev, etc. - -#### Trade-offs - -For small values (for example 40 bytes per list entry here), compression has minimal performance impact. When using 40 byte values with a max ziplist size of 8k, that's around 200 individual elements per ziplist. You only pay the extra _compression overhead_ cost when a new ziplist gets created (in this case, once every 200 inserts). - -For larger values (for example 1024 bytes per list entry here), compression does have a noticeable performance impact, but Redis is still operating at over 150,000 operations per second for all good values of ziplist size (-2). When using 1024 byte values with a max ziplist size of 8k, that works out to 7 elements per ziplist. In this case, you pay the extra compression overhead once every seven inserts. That's why the performance is slightly less in the 1024 byte element case. diff --git a/docs/ui/insight/database-recommendations.md b/docs/ui/insight/database-recommendations.md deleted file mode 100644 index aecf69b6..00000000 --- a/docs/ui/insight/database-recommendations.md +++ /dev/null @@ -1,229 +0,0 @@ ---- -title: Database recommendations -linkTitle: Database recommendations -description: Optimize usage of Redis databases -weight: 40 - ---- - -RedisInsight provides database recommendations to enable you to use your databases more efficiently, leading to performance increase and memory usage optimization. - -## Avoid dynamic Lua script - -### Conditions - -Used_memory_lua > 3,000,000 (3M) bytes - -### Recommendations - -* Avoid dynamic Lua script -* Refrain from generating dynamic scripts, which can cause your Lua cache to grow and get out of control. Memory is consumed as scripts are loaded. If you have to use dynamic Lua scripts, then remember to track your Lua memory consumption and flush the cache periodically with a `SCRIPT FLUSH` -* Do not hardcode and/or programmatically generate key names in your Lua scripts because it makes them useless in a clustered Redis setup. - -## Switch to 32-bits - -### Conditions - -* Data is stored in 64-bits. -* The database is less than 3 GB. - -### Recommendations - -When you set an expiry on a key, Redis does not expire it at that instant, which consumes memory to hold keys that have already expired. - -Follow one of these steps to reclaim the memory: - -* Restart your redis-server. -* Increase `memorysamples` in `redis.conf` (default is `5`, max is `10`) so that expired keys are reclaimed faster. Keep in mind that increasing it costs more CPU cycles and affects the latency of commands. -* Set up a cron job that runs the scan command after an interval, which helps to reclaim the memory of the expired keys. -* Increase the expiry of keys. - -## Reclaim expired keys' memory faster - -### Conditions - -1. Run the `INFO` command and find the `total_memory_used` and sum of all the keys for all the databases. -1. Then take a Redis Dump (RDB) and find out the total memory and the total number of keys. -1. If the difference is more than 5%, (keys in Redis - keys in the RDB)/keys in Redis > 5%), RedisInsight displays the recommendation. - -### Recommendations - -Reclaim expired keys' memory faster. - -## Change serializer - -### Conditions - -The following regular means of serializing are detected: - -* JSON Serializer -* Java serialized objects -* Python Pickle -* PHP Serializer -* Unknown Serializer - -### Recommendations - -Redis stores serialized objects as byte arrays, so regular means of serializing can be of larger size, impacting the memory consumption and latency. Instead of using the default serializer of your programming language, switch to another library like Protocol Buffers, MessagePack, and so on. - -## Combine small strings to hashes - -### Conditions - -The following conditions are met: - -* More than 1000 strings whose values are not encoded. -* The key size is smaller than 200 bytes. - -### Recommendations - -Strings data type has an overhead of about 90 bytes on a 64-bit machine. If different expiration values for these keys are not required, combine small strings into a larger hash to optimize the memory usage. Also, ensure that the hash has less than `hash-max-ziplist-entries` elements, and the size of each element is within `hash-max-ziplist-values` bytes. This approach should not be used if you need different expiration values for string keys. - -## Convert hashtable to ziplist for hashes - -### Conditions - -* Number of hash entries exceeds `hash-max-ziplist-entries`. -* Number of bytes for the string value exceeds `hash-max-ziplist-values`. - -### Recommendations - -Increase `hash-max-ziplist-entries` and/or `hash-max-ziplist-values` (display the numbers calculated). -If any value for a key exceeds `hash-max-ziplist-entries` or `hash-max-ziplist-values`, it is stored automatically as a hashtable instead of a ziplist, which consumes almost double the memory. -To save the memory, increase the configurations and convert your hashtables to ziplists. The trade-off can be an increase in latency and possibly an increase in CPU utilization. - -## Convert hashtable to ziplist for sorted sets - -### Conditions - -* Number of sorted set members exceeds `zset-max-ziplist-entries`. -* Number of bytes for the string member exceeds `zset-max-ziplist-values`. - -### Recommendations - -Increase `zset-max-ziplist-entries` and/or `zset-max-ziplist-values` (display the numbers calculated). -If any value for a key exceeds `zset-max-ziplist-entries` or `zset-max-ziplist-values`, it is stored automatically as a hashtable instead of a ziplist, which consumes almost double the memory. -To save the memory, increase the configurations and convert your hashtables to ziplists. The trade-off can be an increase in latency and possibly an increase in CPU utilization. - -## Switch from set to IntSet - -### Conditions - -Found set values that contain strings. - -### Recommendations - -Sets that contain only integers are extremely efficient memory-wise. Try to use integers. Map string identifiers to integers, by either using `enum`s in your programming language or using a Redis hash data structure to map values to integers. Once you switch to integers, Redis uses the `IntSet` encoding internally. The `IntSet` encoding is extremely memory efficient. By default, the value of `set-max-intset-entries` is `512` and is configurable in `redis.conf`. However, increasing this value leads to an increase in latency of set operations and CPU utilization. To verify the latency numbers, run `INFO COMMANDSTATS` before and after making this change. - -## Increase the set-max-intset-entries - -### Conditions - -Found sets with length > `set-max-intset-entries`. - -### Recommendations - -Several set values with `IntSet` encoding exceed the `set-max-intset-entries`. To efficiently use the `IntSet` encoding, change the configuration in `redis.conf`. Note that increasing this value leads to an increase in latency of set operations and CPU utilization. To verify the latency numbers, run `INFO COMMANDSTATS` before and after making this change. - -## Use smaller keys - -### Conditions - -The database has 1M+ keys. - -### Recommendations - -Shorten key names to optimize memory usage. Even though descriptive key names are better, large key names consume memory. - -## Convert to a list instead of a hash - -### Conditions - -* Hash length > 5,000. -* FT.SEARCH is not loaded or there is no index created. - -### Recommendations - -A Redis hash stores field names and values. -If you have thousands of small hash objects with similar field names, the memory used by field names adds up. -To prevent this, consider using a Redis list instead of a hash. -Convert field names into indexes in the list. -While this may save memory, you should only use this approach if you have thousands of hashes and if each of those hashes has similar fields. -However, this approach is not recommended when you have more than 512 fields in your hash, or the size of your hash values is not consistent (for instance, when some hashes contain only a few field-value pairs while others contain many). - -## Shard big hashes to small hashes - -### Conditions - -Found hashes with length > 5,000. - -### Recommendations - -If you have a hash with a large number of key/value pairs, and if each key/value pair is small enough, break it into smaller hashes to save memory. To shard a `HASH` table, choose a method of partitioning the data. Hashes themselves have keys that can be used for partitioning the keys into different shards. The number of shards is determined by the total number of keys to be stored and the shard size. Using this and the hash value you can determine the shard ID in which the key resides. Note that converting big hashes to small hashes increases the complexity of your code. - -## Compress Hash field names - -### Conditions - -Hash length > 5,000. - -### Recommendations - -Hash field name also consumes memory, so use smaller or shortened field names to reduce memory usage. - -## Compress values - -### Conditions - -The difference between the actual and compressed values is more than 5%. - -### Recommendations - -Compress the data before storing it in Redis to optimize the memory (sometimes even between 30-50%), increase the throughput, reduce the payload, and decrease latency. There are several compression algorithms to choose from, each with its trade-offs. Snappy aims for high speed and reasonable compression. LZO compresses fast and decompresses faster. Others, such as Gzip, are more widely available. To avoid CPU increases, do not compress short strings and unstructured data. - -## Enable compression for the list - -### Conditions - -The difference between actual and compressed values is more than 5%. - -### Recommendations - -If you use long lists and mostly access elements from the head and tail only, you can enable compression. -To compress every list node except the head and tail of the list, in `redis.conf` set `list-compression-depth=1`. Even though list operations that involve elements in the center of the list become slower, the compression can increase CPU utilization. -Run `INFO COMMANDSTATS` before and after making this change to verify the latency numbers. - -## Do not open a new connection for every request/command - -### Conditions - -Connected_clients > 100 - -### Recommendations - -When the value of your `total_connections_received` in the stats section is high, it usually means that your application is opening and closing a connection for every request it makes. -Opening a connection is an expensive operation that adds to both client and server latency. -To rectify this, consult your Redis client documentation and configure your Redis to use persistent connections. - -## Rename or disable dangerous commands - -### Conditions - -One of the commands from `ACL CAT @dangerous` is not disabled or renamed. - -### Recommendations - -`{commands}` are currently not renamed or disabled for your instance. -Carefully manage these commands. -Consider renaming or disabling them, especially for the production environment. - -## Do not store large strings - -### Conditions - -String length > 5M bytes is found. - -### Recommendations - -Avoid storing large strings, because transferring them takes time and consumes the network bandwidth. Large keys are acceptable only to read/write portions of the string. - diff --git a/docs/ui/insight/examples.md b/docs/ui/insight/examples.md index 3a84b3fa..cddd7739 100644 --- a/docs/ui/insight/examples.md +++ b/docs/ui/insight/examples.md @@ -43,54 +43,7 @@ Follow the remaining steps in Workbench to load more data points and get sales b Try other data structure examples in Workbench. Share your Redis expertise with your team and the wider community by building custom RedisInsight tutorials. Use our [instructions](https://github.com/RedisInsight/Tutorials) to describe your implementations of Redis for other users to follow and interact with in the context of a connected Redis database. -## Use RedisInsight to manage streams and consumer groups - -In this example, you will learn how to create and work with streams and consumer groups in RedisInsight. - -A _stream_ is an append-only log file. -When you add data to it, you cannot change it. -That may seem like a disadvantage. However, a stream serves as a log or single source of truth. -It can also be used as a buffer between processes that work at different speeds and do not need to know about each other. -For more conceptual information about streams, see [Redis Streams](/docs/manual/data-types/streams). - -Let's assume you have a stream that models temperature and humidity sensors. Processes interacting with the stream perform one of two roles: _consumer_ and _producer_. -The point of a stream is that it's not going to end, so you cannot capture whole datasets and do some processing on them. - -In this stream, sensors are considered _producers_, which broadcast data. -A _consumer_ reads from the stream and does some work on it. -For example, if the temperature is above a certain threshold, it puts a message out to turn on the air conditioner in that unit or notify the maintenance. - - - -It is possible to have multiple consumers doing different jobs: one measuring humidity and another taking temperature measurements over periods of time. -Redis stores a copy of the entire dataset in memory, which is a finite resource. -To avoid runaway data, streams can be trimmed when you add something to them. -When adding to a stream with `XADD`, you can optionally specify that the stream should be trimmed to a specific or approximate number of the newest entries, or to only include entries whose ID is higher than the ID specified. -You can also manage the storage required for streaming data using key expiry. For example, by writing each day's data to its own stream in Redis and expiring each stream's key after a period of time, say a week. -An ID can be any number, but each new entry in the stream must have an ID whose value is higher than the last ID added to the stream. - -**Adding new entries** - -Use `XADD` with `*` for the ID to have Redis automatically generate a new ID for you consisting of a millisecond precision timestamp, a dash and a sequence number. For example `1656416957625-0`. Then supply the field names and values to store in the new stream entry. - -There are a couple of ways of retrieving things. You can retrieve entries by time range or you could ask for everything that's happened since a timestamp or ID that you specify. Using a single command you can ask for anything from 10:30 until 11:15 am on a given day. - -**Using consumer groups** - -A more realistic use case would be a system with many temperature sensors whose data Redis puts in a stream, records the time they arrive, and orders them. - - - -On the right side, we have two consumers that read the stream. One of them is alerting if the temperature is over a certain number and texting the maintenance crew that they need to do something, and the other is a data warehouse that is taking the data and putting it into a database. - -They run independently of each other. -Up in the right, we have another sort of task. -Let's assume that alerting and data warehouse are really fast. -You get a message whether the temperature is larger than a specific value, which might take a millisecond. -And alerting can keep up with the data flow. -One way you can scale consumers is _consumer groups_, which allows multiple instances of the same consumer or same code to work as a team to process the stream. - -**Managing streams in RedisInsight** +## Use RedisInsight to manage streams and consumer groups You can add a stream in RedisInsight in two ways: create a new stream or add to an existing stream. @@ -105,9 +58,9 @@ Now you have a stream that appears in the **Streams** view and you can continue RedisInsight runs read commands for you so you can see the stream entries in the **Streams** view. And the **Consumer Groups** view shows each consumers in a given consumer group and the last time Redis allocated a message, what the ID of it was and how many times that process has happened, and whether a consumer has you have told Redis that you are finished working with that task using the `XACK` command. -### Monitor temperature and humidity from sensors in RedisInsight +**Monitor temperature and humidity from sensors in RedisInsight** -This example shows how to bring an existing stream into RedisInsight and work with it. +This example shows how to interact with a stream built in Node.js. **Step 1: Setup** @@ -116,17 +69,17 @@ This example shows how to bring an existing stream into RedisInsight and work wi 3. Install [Redis](https://redis.io/download/). In Docker, check that Redis is running locally on the default port 6379 (with no password set). 4. Clone the [code repository](https://github.com/redis-developer/introducing-redis-talk) for this example. See the [README](https://github.com/redis-developer/introducing-redis-talk/tree/main/streams) for more information about this example and installation tips. -5. On your command-line, navigate to the folder containing the code repository and install the Node.js package manager (npm). +5. On your command-line, navigate to the folder containing the code repository and install `npm`. - {{< highlight bash >}} +```javascript npm install - {{< / highlight >}} +``` **Step 2: Run the producer** To start the producer, which will add a new entry to the stream every few seconds, enter: -``` +```javascript npm run producer > streams@1.0.0 producer @@ -148,7 +101,7 @@ You can start multiple instances of the producer if you want to add entries to t To start the consumer, which reads from the stream every few seconds, enter: -``` +```javascript npm run consumer > streams@1.0.0 consumer @@ -169,7 +122,7 @@ The consumer stores the last entry ID that it read in a Redis string at the key Once the consumer has processed every entry in the stream, it will wait indefinitely for instances of the producer to add more: -``` +```javascript Reading stream... No new entries since entry 1632771060229-0. Reading stream... @@ -185,7 +138,7 @@ A consumer group consists of multiple consumer instances working together. Redis Using multiple terminal windows, start three instances of the consumer group consumer, giving each a unique name: -``` +```javascript npm run consumergroup consumer1 > streams@1.0.0 consumergroup @@ -202,13 +155,13 @@ Reading stream... In a second terminal: -``` +```javascript npm run consumergroup consumer2 ``` And in a third: -``` +```javascript npm run consumergroup consumer3 ``` @@ -224,7 +177,7 @@ Note that in this model, each consumer instance does not receive all of the entr You can now toggle between **Stream** and **Consumer Groups** views to see your data. -As mentioned earlier in this example, a stream is an append-only log so you can't modify the contents of an entry, but you can delete an entire entry. +A stream is an append-only log so you can't modify the contents of an entry, but you can delete an entire entry. A case when that's useful is in the event of a so-called _poison-pill message_ that can cause consumers to crash. You can physically remove such messages in the **Streams** view or use the `XDEL` command at the command-line interface (CLI). You can continue interacting with your stream at the CLI. For example, to get the current length of a stream, use the `XLEN` command: @@ -235,7 +188,4 @@ XLEN ingest:temphumidity Use streams for auditing and processing events in banking, gaming, supply chain, IoT, social media, and so on. -## Related topics - -- [Redis Streams](/docs/manual/data-types/streams) -- [Introducing Redis Streams with RedisInsight, node.js, and Python](https://www.youtube.com/watch?v=q2UOkQmIo9Q) (video) \ No newline at end of file +For more information about streams, see [Redis Streams](/docs/manual/data-types/streams). Also check out [Introducing Redis Streams with RedisInsight, node.js, and Python](https://www.youtube.com/watch?v=q2UOkQmIo9Q) (video). \ No newline at end of file diff --git a/docs/ui/insight/get-started.md b/docs/ui/insight/get-started.md index f48220d2..50fa06a0 100644 --- a/docs/ui/insight/get-started.md +++ b/docs/ui/insight/get-started.md @@ -8,11 +8,11 @@ weight: 20 RedisInsight is available as a standalone download or [bundled with Redis Stack](/docs/stack/get-started/install). Install it and try the in-app examples available in Workbench. For more information, see [Examples](/docs/ui/insight/examples). -You can use RedisInsight on Windows, MacOS, or Linux. +Standalone downloads are available for Windows, MacOS, and Linux from the Redis Enterprise website and stores. ## Install on Windows -### From website +From website: 1. Download [RedisInsight](https://redis.com/redis-enterprise/redis-insight). @@ -20,45 +20,38 @@ You can use RedisInsight on Windows, MacOS, or Linux. 3. Open the RedisInsight icon. -### From stores +From stores: -Go to [Microsoft Windows Apps](https://apps.microsoft.com/store/detail/redisinsight/XP8K1GHCB0F1R2) and download the RedisInsight app. - -To resume your journey, [start Redis Stack Server](#start-redis-stack-server). +* Go to [Microsoft Windows Apps](https://apps.microsoft.com/store/detail/redisinsight/XP8K1GHCB0F1R2) and download the RedisInsight app. ## Install on MacOS -You can install RedisInsight for MacOS from the Redis website or Homebrew. (Redis plans to release the RedisInsight app in Apple Store.) - -### From website - -Redis offers RedisInsight on Intel and M1. +From website: 1. Download [RedisInsight](https://redis.com/redis-enterprise/redis-insight). 1. Add RedisInsight to **Applications**. -### Homebrew +Using Homebrew: ``` brew install --cask redisinsight ``` -### Run RedisInsight +From store: + +* Go to [Apple Store](https://apps.apple.com/us/app/redisinsight/id6446987963) and download the RedisInsight app. -From your Terminal, run this command. + +To start RedisInsight, from your Terminal, run this command. ``` redisinsight ``` -To resume your journey, [start Redis Stack Server](#start-redis-stack-server). - ## Install on Linux -### From website - -RedisInsight is available for Linux as a Debian or AppImage package. +From website: 1. Download [RedisInsight](https://redis.com/redis-enterprise/redis-insight). @@ -70,33 +63,25 @@ RedisInsight is available for Linux as a Debian or AppImage package. sudo apt install ./RedisInsight-v2-linux-amd64.deb ``` - For AppImage, make your downloaded file into an executable. + For any common Linux distribution, use AppImage. To make your downloaded file into an executable, run: ``` chmod a+x RedisInsight-v2-linux-x86_64.AppImage ``` -### From stores +From stores: -You can install RedisInsight from [Snapcraft](https://snapcraft.io/redisinsight) or [FlatHub](https://flathub.org/apps/details/com.redis.RedisInsight) using instructions available at those sites. +* You can install RedisInsight from [Snapcraft](https://snapcraft.io/redisinsight) or [FlatHub](https://flathub.org/apps/details/com.redis.RedisInsight) using instructions available at those sites. -### Run RedisInsight - -Open the Linux command line and navigate to the folder containing the downloaded file. Then, run: +To start RedisInsight, open the Linux command line and navigate to the folder containing the downloaded file. Then, run: ``` ./RedisInsight-v2-linux-x86_64.AppImage ``` -## Start Redis Stack Server - -You can now start Redis Stack Server. - -```bash - redis-stack-server -``` +If you'd like to enable extended Redis capabilities of Redis Stack and access tutorials in **Workbench**, before you add a database, [install Redis Stack](/docs/stack/get-started/install). ## Add a Redis database @@ -108,12 +93,16 @@ Enter the requested details, then click **Submit** or **Add Redis Database**. Once added, your database appears with **Database Alias**. **Host:Port**, **Connection Type**, **Modules**, and **Last connection**. + + ## Add a new key Select **+Key** to add a new key. Once added, the dashboard UI shows the hash key details. + + ## Change the color RedisInsight allows you to specify the color theme of your choice. 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b/docs/ui/insight/plugins/_index.md @@ -0,0 +1,18 @@ +--- +title: "RedisInsight plugins" +linkTitle: Plugins +description: Create your own custom data visualizations +weight: 40 +aliases: +--- + +With RedisInsight, you can extend the core functionality by building your own data visualizations. + +Redis can hold a range of different data types. Visualizing these data types in a format that's convenient to you for validation and debugging is paramount. +You can now easily extend the core functionality of RedisInsight independently by building your own custom visualization plugin. + +Data visualization provided by the plugin is rendered in the **Workbench** results area and is based on the executed command. +A Redis command can generate its own custom data visualization. + +For your reference, see the [plugin package example](https://github.com/RedisInsight/RedisInsight/tree/main/redisinsight/ui/src/packages/clients-list): running the CLIENT LIST command presents the output in a tabular format for easier reading. + diff --git a/docs/ui/insight/plugins/plugin-development.md b/docs/ui/insight/plugins/plugin-development.md new file mode 100644 index 00000000..d202fa39 --- /dev/null +++ b/docs/ui/insight/plugins/plugin-development.md @@ -0,0 +1,199 @@ +--- +title: "Develop RedisInsight plugins" +linkTitle: Develop plugins +description: Learn how to develop RedisInsight plugins +weight: 30 +aliases: +--- + +To encapsulate plugin scripts and styles, plugin visualization in **Workbench** is rendered using Iframe, as described in +the main plugin script and the stylesheet (if it is specified in the `package.json`). +Iframe also includes basic styles. + +## Plugin structure + +Each plugin should have a unique name with all its files loaded to a separate folder inside the default `plugins` folder. For more information, see [Install RedisInsight plugins](/docs/ui/insight/plugins/plugin-installation). + +{{% alert title="Note" color="warning" %}} + +Default plugins are located inside the application. + +{{% /alert %}} + +### Files + +`package.json` should be located in the root folder of your plugins, all other files can be included into a subfolder. + +* **pluginName/package.json** *(required)* - Manifest of the plugin +* **pluginName/{anyName}.js** *(required)* - Core script of the plugin +* **pluginName/{anyName}.css** *(optional)* - File with styles for the plugin visualizations +* **pluginName/{anyFileOrFolder}** *(optional)* - Specify any other file or folder inside the plugin folder +to use by the core module script. *For example*: pluginName/images/image.png. + +## `package.json` structure + +To use the plugin, the `package.json` file should include these required fields: + + + + + + + + + + + + + + +
    namePlugin name. Use the folder name as the plugin name in the package.json.
    mainRelative path to the core script of the plugin. Example: ./dist/index.js
    visualizations + Array of visualizations (objects) to visualize the results in the Workbench. +

    + Required fields in visualizations: +
      +
    • id: Visualization id
    • +
    • name: Visualization name to display in Workbench
    • +
    • activationMethod - name of the exported function to call when +this visualization is selected in the Workbench
    • +
    • + matchCommands - array of commands to use the visualization for. Supports regex string. + Example: ["CLIENT LIST", "FT.*"] +
    • +
    +
    + +You can specify the path to a css file in the `styles` field. If specified, +this file will be included inside the iframe plugin. + +Simple example of the `package.json` file with required and optional fields: + +```json +{ + "author": { + "name": "Redis Ltd.", + "email": "support@redis.com", + "url": "https://redis.com/redis-enterprise/redis-insight" + }, + "description": "Show client list as table", + "styles": "./dist/styles.css", + "main": "./dist/index.js", + "name": "client-list", + "version": "0.0.1", + "scripts": {}, + "visualizations": [ + { + "id": "clients-list", + "name": "Table", + "activationMethod": "renderClientsList", + "matchCommands": [ + "CLIENT LIST" + ], + "description": "Example of client list plugin", + "default": true + } + ], + "devDependencies": {}, + "dependencies": {} +} +``` + +## Core script of the plugin + +This is the required script with defined visualization methods. +The core script contains function and its export (functions - for multiple visualizations), +which is run after the relevant visualization is selected in the Workbench. + +The following function receives props of the executed commands: +```typescript +interface Props { + command: string; // executed command + data: Result[]; // array of results (one item for Standalone) +} + +interface Result { + response: any; // response of the executed command + status: 'success' | 'fail'; // response status of the executed command +} + +const renderVisualization = (props: Props) => { + // Do your magic +} + +export default { renderVisualization } +``` + +Each plugin iframe has basic styles of RedisInsight application, including fonts and color schemes. + +It is recommended to use the React & [Elastic UI library](https://elastic.github.io/eui/#/) for +consistency with plugin visualisations and the entire application. + +Find the example of the plugin here. + +* [Client List Plugin README](https://github.com/RedisInsight/Packages/blob/main/clients-list-example/README.md) +* [Client List Plugin dir](https://github.com/RedisInsight/Packages/blob/main/clients-list-example/) + +### Available parameters + +Additional information provided to the plugin iframe is included in the `window.state` +inside of the plugin script. + +```javascript +const { config, modules } = window.state +const { baseUrl, appVersion } = config + +// modules - the list of modules of the current database +// baseUrl - url for your plugin folder - can be used to include your assets +// appVersion - version of the RedisInsight application +``` + +### Plugin rendering +To render the plugin visualization, the iframe with basic html is generated which is +then populated with relevant scripts and styles. To render the html data, use existing +DOM Element `#app` or create your own DOM Elements. +Rendered iframe also includes `theme_DARK` or `theme_LIGHT` className on `body` to indicate the application theme used. + +_Javascript Example:_ +```javascript +const renderVisualization = (props) => { + const { command, data = [] } = props; + const [{ result, status }] = data + document.getElementById('app') + .innerHTML = ` +

    Executed command:

    +

    ${command}

    +

    Result of the command

    +

    ${result}

    +

    Status of the command

    +

    ${status}

    + ` +} + +export default { renderVisualization } +``` + +_React Example:_ +```javascript +import { render } from 'react-dom' +import App from './App' + +const renderVisualization = (props) => { + const { command, data = [] } = props + const [{ result, status }] = data + render( + , + document.getElementById('app') + ) +} + +// This is a required action - export the main function for execution of the visualization +export default { renderVisualization } +``` + + +## Plugin communication + +Use the [redisinsight-plugin-sdk](https://www.npmjs.com/package/redisinsight-plugin-sdk), which is a third party library, +to communicate with the main app. + +Find the list and description of methods called in the [README.md](https://github.com/RedisInsight/RedisInsight/blob/main/redisinsight/ui/src/packages/clients-list/README.md). diff --git a/docs/ui/insight/plugins/plugin-installation.md b/docs/ui/insight/plugins/plugin-installation.md new file mode 100644 index 00000000..daa696c5 --- /dev/null +++ b/docs/ui/insight/plugins/plugin-installation.md @@ -0,0 +1,35 @@ +--- +title: "Install RedisInsight plugins" +linkTitle: Install plugin +description: Learn how to add `plugins` for the Workbench to RedisInsight +weight: 20 +aliases: +--- + +{{% alert title="Note" color="warning" %}} + +To avoid automatic execution of malicious code, when adding new plugins for Workbench, use files from trusted authors only. + +{{% /alert %}} + +1. Download the plugin for the Workbench. +2. Open the `plugins` folder with the following path: + * For MacOs: `/.redisinsight-preview/plugins` + * For Windows: `C:/Users/{Username}/.redisinsight-preview/plugins` + * For Linux: `/.redisinsight-preview/plugins` +3. Add the folder with plugin to the `plugins` folder. + +To see the uploaded plugin visualizations in the command results, reload the Workbench +page and run Redis command relevant for this visualization. + + +## Usage + +The plugin may contain different visualizations for any Redis commands. +To see command results in the uploaded plugin visualization: + +1. Open RedisInsight. +2. Open the database. +3. Open **Workbench**. +4. Run the Redis command for the plugin visualization. +5. Select the plugin visualization in which to display results, if this visualization has not been set by default. \ No newline at end of file diff --git a/docs/ui/insight/tools.md b/docs/ui/insight/tools.md deleted file mode 100644 index 6cdbfe33..00000000 --- a/docs/ui/insight/tools.md +++ /dev/null @@ -1,120 +0,0 @@ ---- -title: RedisInsight tools -linkTitle: Tools -description: Learn about RedisInsight features -weight: 30 - ---- - -RedisInsight makes it easy to query, visualize, and interactively work with Redis capabilities. Whether using Redis Stack, Redis Enterprise, or Redis Enterprise Cloud, RedisInsight allows you to manipulate complex data models such as documents, graphs, and time series. Explore queryable JSON documents, full-text search, probabilistic data structures, and more. - -## Connection management - -* Automatically discover and add your local Redis or Redis Stack databases (that use standalone connection type and do not require authentication). -* Discover your databases in Redis Enterprise Cluster and databases with Flexible plans in Redis Cloud. -* Use a form to enter your connection details and add any Redis database running anywhere (including OSS Cluster, Sentinel). - - - -## Browser - -Browser offers [CRUD](https://en.wikipedia.org/wiki/Create,_read,_update_and_delete) support for lists, hashes, strings, sets, sorted sets, streams, as well as for [RedisJSON](/docs/stack/json). - -* Browse, filter, and visualize your key-value Redis data structures. - -* Group keys according to their namespaces. - - - -* View, validate, and manage your key values in a human-readable format using formatters that prettify and highlight data in different formats (for example, Unicode, JSON, MessagePack, HEX, and ASCII) in the Browser tool. - - - -## Profiler - -Analyze every command sent to Redis in real time. - - - -## CLI - -The CLI is accessible at any time within the application. It includes: - -* Type-ahead help. -* A command helper that lets you filter and search. - -Try executing Redis commands as shown here. - - - -## Workbench - -Workbench is a command-line interface with intelligent command auto-complete and complex data visualizations that lets you run commands against your Redis server. -Find Workbench on the left sidebar. It provides: - -* Built-in examples that help you discover Redis and Redis Stack capabilities using the built-in guides. -* Command auto-complete support for all capabilities in Redis and Redis Stack. -* Visualizations of your [RediSearch](https://oss.redis.com/redisearch/) index, queries, and aggregations. -* Visualizations of your [RedisGraph](https://oss.redis.com/redisgraph/). - - - -* Visualizations of your [RedisTimeSeries](https://oss.redis.com/redistimeseries/) data. - - - -## Database analysis - -Use the database analysis tool to optimize the performance and memory usage of your Redis database. Check data type distribution and memory allocation and review the summary of key expiration time and memory to be freed over time. Inspect the top keys and namespaces sorted by consumed memory or key length and count of keys, respectively. Capture and track the changes in your database by viewing historical analysis reports. - -Next figure shows a sample database analysis report. - - - -Use recommendations based on developer best practices to: - -* Reduce memory usage -* Improve application performance -* Increase the security of your database - -Recommendations are generated specifically for your Redis or Redis Stack database. - - - -## Redis Streams support - -Create and manage streams by adding, removing, and filtering entries per timestamp. To see and work with new entries, enable and customize the automatic refresh rate. - -View and manage the list of consumer groups. See existing consumers in a given consumer name as well as the last messages delivered to them. Inspect the list of pending messages, explicitly acknowledge the processed items, or claim unprocessed messages via RedisInsight. - - - -## Search capabilities - -If you're using Redis Stack's indexing, querying, or full-text search capabilities, RedisInsight provides UI controls to run search queries against a preselected index. You can also create a secondary index of your data in a dedicated pane. - - - -## Bulk actions - -Easily and quickly delete multiple keys of the same type and/or with the same key name pattern in bulk. To do so, in the List or Tree view, set filters per key type or key names and open the Bulk Actions section. The section displays a summary of all the keys with the expected number of keys that will be deleted based on the set filters. - -When the bulk deletion is completed, RedisInsight displays the results of this operation with the number of keys processed and the time taken to delete the keys in bulk. -Use bulk deletion to optimize the usage of your database based on the results from the Redis database analysis. - - - -## Slow Log - -The Slow Log tool displays the list of logs captured by the `SLOWLOG` command to analyze all commands that exceed a specified runtime, which helps with troubleshooting performance issues. Specify both the runtime and the maximum length of Slowlog (which are server configurations) to configure the list of commands logged and set the auto-refresh interval to automatically update the list of commands displayed. - - - -## Create your own custom data visualizations - -With RedisInsight you can now also extend the core functionality by building your own data visualizations. See our [plugin documentation](https://github.com/RedisInsight/RedisInsight/wiki/Plugin-Documentation) for more information. - -## Telemetry - -RedisInsight includes an opt-in telemetry system. This helps us improve the developer experience of the app. We value your privacy, so all collected data is anonymized. You can disable this feature at any time. - diff --git a/docs/ui/insight/tools/_index.md b/docs/ui/insight/tools/_index.md new file mode 100644 index 00000000..e5f46acb --- /dev/null +++ b/docs/ui/insight/tools/_index.md @@ -0,0 +1,9 @@ +--- +title: RedisInsight tools +linkTitle: Tools +description: Learn about RedisInsight features +weight: 30 + +--- + +RedisInsight makes it easy to query, visualize, and interactively work with Redis capabilities. Whether using Redis Stack, Redis Enterprise, or Redis Enterprise Cloud, RedisInsight allows you to manipulate complex data models such as documents, graphs, and time series. Explore queryable JSON documents, full-text search, probabilistic data structures, and more. diff --git a/docs/ui/insight/tools/browser.md b/docs/ui/insight/tools/browser.md new file mode 100644 index 00000000..43aba017 --- /dev/null +++ b/docs/ui/insight/tools/browser.md @@ -0,0 +1,19 @@ +--- +title: Browser +linkTitle: Browser +description: Visualize and manage your data structures +weight: 10 + +--- + +Browser offers [CRUD](https://en.wikipedia.org/wiki/Create,_read,_update_and_delete) support for lists, hashes, strings, sets, sorted sets, streams, as well as for [RedisJSON](/docs/stack/json). + +* Browse, filter, and visualize your key-value Redis data structures. + +* Group keys according to their namespaces. + + + +* View, validate, and manage your key values in a human-readable format using formatters that prettify and highlight data in different formats (for example, Unicode, JSON, MessagePack, HEX, and ASCII) in the Browser tool. + + \ No newline at end of file diff --git a/docs/ui/insight/tools/bulk-actions.md b/docs/ui/insight/tools/bulk-actions.md new file mode 100644 index 00000000..56c47ef4 --- /dev/null +++ b/docs/ui/insight/tools/bulk-actions.md @@ -0,0 +1,15 @@ +--- +title: "Bulk actions" +linkTitle: Bulk actions +description: Manage your database actions in bulk +weight: 10 +aliases: +--- + +Easily and quickly delete multiple keys of the same type and/or with the same key name pattern in bulk. To do so, in the List or Tree view, set filters per key type or key names and open the Bulk Actions section. The section displays a summary of all the keys with the expected number of keys that will be deleted based on the set filters. + +When the bulk deletion is completed, RedisInsight displays the results of this operation with the number of keys processed and the time taken to delete the keys in bulk. +Use bulk deletion to optimize the usage of your database based on the results from the Redis database analysis. + + + diff --git a/docs/ui/insight/tools/cli.md b/docs/ui/insight/tools/cli.md new file mode 100644 index 00000000..9335efc5 --- /dev/null +++ b/docs/ui/insight/tools/cli.md @@ -0,0 +1,16 @@ +--- +title: CLI +linkTitle: CLI +description: Interact with your database in RedisInsight using CLI +weight: 10 + +--- + +The CLI is accessible at any time within the application. It includes: + +* Type-ahead help. +* A command helper that lets you filter and search. + +Try executing Redis commands as shown here. + + \ No newline at end of file diff --git a/docs/ui/insight/tools/connection-management.md b/docs/ui/insight/tools/connection-management.md new file mode 100644 index 00000000..775e2b55 --- /dev/null +++ b/docs/ui/insight/tools/connection-management.md @@ -0,0 +1,14 @@ + +--- +title: Connection management +linkTitle: Connections +description: Manage connections in RedisInsight +weight: 10 + +--- + +* Automatically discover and add your local Redis or Redis Stack databases (that use standalone connection type and do not require authentication). +* Discover your databases in Redis Enterprise Cluster and databases with Flexible plans in Redis Cloud. +* Use a form to enter your connection details and add any Redis database running anywhere (including OSS Cluster, Sentinel). + + \ No newline at end of file diff --git a/docs/ui/insight/tools/database-analysis.md b/docs/ui/insight/tools/database-analysis.md new file mode 100644 index 00000000..c662ce7e --- /dev/null +++ b/docs/ui/insight/tools/database-analysis.md @@ -0,0 +1,54 @@ +--- +title: "Database analysis" +linkTitle: Database analysis +description: Learn how RedisInsight helps to optimize your database +weight: 10 +aliases: +--- + +Use the database analysis tool to optimize the performance and memory usage of your Redis database. Check data type distribution and memory allocation and review the summary of key expiration time and memory to be freed over time. Inspect the top keys and namespaces sorted by consumed memory or key length and count of keys, respectively. Capture and track the changes in your database by viewing historical analysis reports. + +Next figure shows a sample database analysis report. + + + +Use recommendations based on developer best practices to: + +* Reduce memory usage +* Improve application performance +* Increase the security of your database + +Recommendations are generated specifically for your Redis or Redis Stack database. + + + +While investigating ways to optimize memory and performance, or inspecting cases when you noticed high memory usage in your Redis or Redis Stack database, you may need to find the biggest keys or most memory-intensive data structures in your database, or to analyze the allocation of data structures and compare it with previous periods. + +The **Database analysis** tool can help you to: + +* Check data type distribution and memory allocation. +* Review the summary of key expiration time and memory to be freed over time. +* Inspect the top keys and namespaces sorted by consumed memory or key length and count of keys, respectively. +* Capture and track the changes in your database by viewing historical analysis reports. + +After you launch RedisInsight following [Get started](/docs/interfaces/ui/insight/get-started): + +* Add your Redis database instance or create a new and free cloud database. +* To test the features, open the database. Then, go to **Analysis tools > Database Analysis** and generate a new report. + +RedisInsight automatically analyzes up to 10,000 keys in your database and generates a report with diagrams that contains a summary of your database. + +The first generated diagram contain information about memory allocation and the number of keys per data structure in your Redis or Redis Stack database. Yoy get an overview of the most popular and memory-intensive data structures. + + + +The next diagram summarizes the expiration time in your database, allowing you to observe the amount of memory to be freed over time. Configuring the expiration time helps to optimize memory usage because it allows Redis to automatically remove keys that are no longer needed. Additionally, it is useful for cache invalidation, ensuring that cached data is refreshed periodically to avoid stale data and keep the cache up to date. + + + +The **Database analysis** tool also gives you an overview of existing keys and namespaces used so you can find the biggest keys or the most memory-intensive or used namespaces in your database. +RedisInsight also helps you capture and track changes in your database by providing historical analysis reports. + +## Feedback + +To provide your feedback, [open a ticket in our RedisInsight repository](https://github.com/RedisInsight/RedisInsight/issues/new). \ No newline at end of file diff --git a/docs/ui/insight/tools/profiler.md b/docs/ui/insight/tools/profiler.md new file mode 100644 index 00000000..ab4c10e8 --- /dev/null +++ b/docs/ui/insight/tools/profiler.md @@ -0,0 +1,11 @@ +--- +title: Profiler +linkTitle: Profiler +description: Analyze commands in real time +weight: 10 + +--- + +Analyze every command sent to Redis in real time. + + \ No newline at end of file diff --git a/docs/ui/insight/tools/search.md b/docs/ui/insight/tools/search.md new file mode 100644 index 00000000..2f5c159d --- /dev/null +++ b/docs/ui/insight/tools/search.md @@ -0,0 +1,11 @@ +--- +title: "Search capabilities" +linkTitle: Search +description: Learn how RedisInsight allows you to index and perform search queries +weight: 10 +aliases: +--- + +If you're using Redis Stack's indexing, querying, or full-text search capabilities, RedisInsight provides UI controls to run search queries against a preselected index. You can also create a secondary index of your data in a dedicated pane. + + \ No newline at end of file diff --git a/docs/ui/insight/tools/slow-log.md b/docs/ui/insight/tools/slow-log.md new file mode 100644 index 00000000..de1b4003 --- /dev/null +++ b/docs/ui/insight/tools/slow-log.md @@ -0,0 +1,11 @@ +--- +title: Slow Log +linkTitle: Slow Log +description: Display logs captured by SLOWLOG command +weight: 10 + +--- + +The Slow Log tool displays the list of logs captured by the `SLOWLOG` command to analyze all commands that exceed a specified runtime, which helps with troubleshooting performance issues. Specify both the runtime and the maximum length of Slowlog (which are server configurations) to configure the list of commands logged and set the auto-refresh interval to automatically update the list of commands displayed. + + diff --git a/docs/ui/insight/tools/streams-support.md b/docs/ui/insight/tools/streams-support.md new file mode 100644 index 00000000..0b21a369 --- /dev/null +++ b/docs/ui/insight/tools/streams-support.md @@ -0,0 +1,13 @@ +--- +title: "Redis streams support" +linkTitle: Streams +description: Learn how RedisInsight helps to create and manage streams +weight: 10 +aliases: +--- + +Create and manage streams by adding, removing, and filtering entries per timestamp. To see and work with new entries, enable and customize the automatic refresh rate. + +View and manage the list of consumer groups. See existing consumers in a given consumer name as well as the last messages delivered to them. Inspect the list of pending messages, explicitly acknowledge the processed items, or claim unprocessed messages via RedisInsight. + + \ No newline at end of file diff --git a/docs/ui/insight/tools/workbench.md b/docs/ui/insight/tools/workbench.md new file mode 100644 index 00000000..02cdd231 --- /dev/null +++ b/docs/ui/insight/tools/workbench.md @@ -0,0 +1,21 @@ +--- +title: RedisInsight Workbench +linkTitle: Workbench +description: RedisInsight Workbench +weight: 10 + +--- + +Workbench is a command-line interface with intelligent command auto-complete and complex data visualizations that lets you run commands against your Redis server. +Find Workbench on the left sidebar. It provides: + +* Built-in examples that help you discover Redis and Redis Stack capabilities using the built-in guides. +* Command auto-complete support for all capabilities in Redis and Redis Stack. +* Visualizations of your [RediSearch](https://oss.redis.com/redisearch/) index, queries, and aggregations. +* Visualizations of your [RedisGraph](https://oss.redis.com/redisgraph/). + + + +* Visualizations of your [RedisTimeSeries](https://oss.redis.com/redistimeseries/) data. + + From 8a8ca3c726a546b6a26377c89e1f1b4721722f65 Mon Sep 17 00:00:00 2001 From: Nermina Miller Date: Wed, 12 Apr 2023 01:53:25 -0400 Subject: [PATCH 20/37] Updates to most topics with restructure and incorporated feedback --- docs/ui/insight/get-started.md | 64 ++++++++--------- docs/ui/insight/plugins/_index.md | 2 +- docs/ui/insight/plugins/plugin-development.md | 45 ++++++------ .../ui/insight/plugins/plugin-installation.md | 17 +++-- docs/ui/insight/tools/browser.md | 2 +- docs/ui/insight/tools/database-analysis.md | 24 ++++--- docs/ui/insight/tools/workbench.md | 10 +-- docs/ui/insight/tutorials/_index.md | 10 +++ .../nodejs-example.md} | 68 ++++--------------- .../insight/tutorials/workbench-tutorial.md | 41 +++++++++++ 10 files changed, 147 insertions(+), 136 deletions(-) create mode 100644 docs/ui/insight/tutorials/_index.md rename docs/ui/insight/{examples.md => tutorials/nodejs-example.md} (58%) create mode 100644 docs/ui/insight/tutorials/workbench-tutorial.md diff --git a/docs/ui/insight/get-started.md b/docs/ui/insight/get-started.md index 50fa06a0..65b29d26 100644 --- a/docs/ui/insight/get-started.md +++ b/docs/ui/insight/get-started.md @@ -6,82 +6,78 @@ weight: 20 --- -RedisInsight is available as a standalone download or [bundled with Redis Stack](/docs/stack/get-started/install). Install it and try the in-app examples available in Workbench. For more information, see [Examples](/docs/ui/insight/examples). - +RedisInsight is available as a standalone download or [bundled with Redis Stack](/docs/stack/get-started/install). Standalone downloads are available for Windows, MacOS, and Linux from the Redis Enterprise website and stores. ## Install on Windows -From website: +**From website** 1. Download [RedisInsight](https://redis.com/redis-enterprise/redis-insight). -2. Open the `RedisInsight-v2-win-installer.exe` file. +1. Open the `RedisInsight-v2-win-installer.exe` file. -3. Open the RedisInsight icon. +1. Open the RedisInsight icon. -From stores: +**From stores** * Go to [Microsoft Windows Apps](https://apps.microsoft.com/store/detail/redisinsight/XP8K1GHCB0F1R2) and download the RedisInsight app. ## Install on MacOS -From website: +**From website** 1. Download [RedisInsight](https://redis.com/redis-enterprise/redis-insight). 1. Add RedisInsight to **Applications**. -Using Homebrew: +**Using Homebrew** ``` brew install --cask redisinsight ``` -From store: - -* Go to [Apple Store](https://apps.apple.com/us/app/redisinsight/id6446987963) and download the RedisInsight app. - - To start RedisInsight, from your Terminal, run this command. ``` redisinsight ``` -## Install on Linux +**From stores** -From website: +* Go to [Apple Store](https://apps.apple.com/us/app/redisinsight/id6446987963) and download the RedisInsight app. -1. Download [RedisInsight](https://redis.com/redis-enterprise/redis-insight). -1. Open the Linux command line and install the package. +## Install on Linux - For Debian, run: +**From website** - ``` - sudo apt install ./RedisInsight-v2-linux-amd64.deb - ``` +1. Download [RedisInsight](https://redis.com/redis-enterprise/redis-insight). - For any common Linux distribution, use AppImage. To make your downloaded file into an executable, run: +1. Open the Linux command line and install the package. - ``` - chmod a+x RedisInsight-v2-linux-x86_64.AppImage + * For Debian, run: - ``` + ``` + sudo apt install ./RedisInsight-v2-linux-amd64.deb + ``` -From stores: + * For any common Linux distribution, use AppImage. + - To make your downloaded file into an executable, run: -* You can install RedisInsight from [Snapcraft](https://snapcraft.io/redisinsight) or [FlatHub](https://flathub.org/apps/details/com.redis.RedisInsight) using instructions available at those sites. + ``` + chmod a+x RedisInsight-v2-linux-x86_64.AppImage + ``` -To start RedisInsight, open the Linux command line and navigate to the folder containing the downloaded file. Then, run: + - To start RedisInsight, open the Linux command line and navigate to the folder containing the downloaded file. Then, run: -``` -./RedisInsight-v2-linux-x86_64.AppImage + ``` + ./RedisInsight-v2-linux-x86_64.AppImage + ``` -``` +**From stores** -If you'd like to enable extended Redis capabilities of Redis Stack and access tutorials in **Workbench**, before you add a database, [install Redis Stack](/docs/stack/get-started/install). +* You can install RedisInsight from [Snapcraft](https://snapcraft.io/redisinsight) or [FlatHub](https://flathub.org/apps/details/com.redis.RedisInsight) using instructions available at those sites. ## Add a Redis database @@ -91,7 +87,7 @@ If you already have Redis database up and running locally, select **Autodiscover Enter the requested details, then click **Submit** or **Add Redis Database**. -Once added, your database appears with **Database Alias**. **Host:Port**, **Connection Type**, **Modules**, and **Last connection**. +Once added, your database appears with **Database Alias**, **Host:Port**, **Connection Type**, **Modules**, and **Last connection**. @@ -109,4 +105,4 @@ RedisInsight allows you to specify the color theme of your choice. Select **Sett ## Explore -To learn how to use RedisInsight with your database, see [Examples](/docs/ui/insight/examples). +To explore ways you can interact with your database, see [Tools](/docs/ui/insight/tools] and [Tutorials](/docs/ui/insight/tutorials). diff --git a/docs/ui/insight/plugins/_index.md b/docs/ui/insight/plugins/_index.md index 7d2408b8..cc945eaf 100644 --- a/docs/ui/insight/plugins/_index.md +++ b/docs/ui/insight/plugins/_index.md @@ -14,5 +14,5 @@ You can now easily extend the core functionality of RedisInsight independently b Data visualization provided by the plugin is rendered in the **Workbench** results area and is based on the executed command. A Redis command can generate its own custom data visualization. -For your reference, see the [plugin package example](https://github.com/RedisInsight/RedisInsight/tree/main/redisinsight/ui/src/packages/clients-list): running the CLIENT LIST command presents the output in a tabular format for easier reading. +For your reference, see the [plugin package example](https://github.com/RedisInsight/RedisInsight/tree/main/redisinsight/ui/src/packages/clients-list). Running the `CLIENT LIST` command presents the output in a tabular format for easier reading. diff --git a/docs/ui/insight/plugins/plugin-development.md b/docs/ui/insight/plugins/plugin-development.md index d202fa39..40f26b6f 100644 --- a/docs/ui/insight/plugins/plugin-development.md +++ b/docs/ui/insight/plugins/plugin-development.md @@ -1,14 +1,14 @@ --- title: "Develop RedisInsight plugins" linkTitle: Develop plugins -description: Learn how to develop RedisInsight plugins +description: Guidance on developing RedisInsight plugins weight: 30 aliases: --- -To encapsulate plugin scripts and styles, plugin visualization in **Workbench** is rendered using Iframe, as described in +To encapsulate plugin scripts and styles, plugin visualization in **Workbench** is rendered using IFrame, as described in the main plugin script and the stylesheet (if it is specified in the `package.json`). -Iframe also includes basic styles. +IFrame also includes basic styles. ## Plugin structure @@ -24,11 +24,11 @@ Default plugins are located inside the application. `package.json` should be located in the root folder of your plugins, all other files can be included into a subfolder. -* **pluginName/package.json** *(required)* - Manifest of the plugin -* **pluginName/{anyName}.js** *(required)* - Core script of the plugin -* **pluginName/{anyName}.css** *(optional)* - File with styles for the plugin visualizations -* **pluginName/{anyFileOrFolder}** *(optional)* - Specify any other file or folder inside the plugin folder -to use by the core module script. *For example*: pluginName/images/image.png. +* **pluginName/package.json** *(required)*: Manifest of the plugin +* **pluginName/{anyName}.js** *(required)*: Core script of the plugin +* **pluginName/{anyName}.css** *(optional)*: File with styles for the plugin visualizations +* **pluginName/{anyFileOrFolder}** *(optional)*: Specify any other file or folder inside the plugin folder +to use by the core module script. Example: `pluginName/images/image.png`. ## `package.json` structure @@ -44,7 +44,7 @@ To use the plugin, the `package.json` file should include these required fields: Relative path to the core script of the plugin. Example: ./dist/index.js - visualizations + visualizations Array of visualizations (objects) to visualize the results in the Workbench.

    @@ -52,11 +52,11 @@ To use the plugin, the `package.json` file should include these required fields:
    • id: Visualization id
    • name: Visualization name to display in Workbench
    • -
    • activationMethod - name of the exported function to call when +
    • activationMethod: Name of the exported function to call when this visualization is selected in the Workbench
    • - matchCommands - array of commands to use the visualization for. Supports regex string. - Example: ["CLIENT LIST", "FT.*"] + matchCommands: Array of commands to use the visualization for. Supports regex string. + Example: `["CLIENT LIST", "FT.*"]`
    @@ -64,7 +64,7 @@ this visualization is selected in the Workbench You can specify the path to a css file in the `styles` field. If specified, -this file will be included inside the iframe plugin. +this file will be included inside the IFrame plugin. Simple example of the `package.json` file with required and optional fields: @@ -100,11 +100,11 @@ Simple example of the `package.json` file with required and optional fields: ## Core script of the plugin -This is the required script with defined visualization methods. -The core script contains function and its export (functions - for multiple visualizations), -which is run after the relevant visualization is selected in the Workbench. +The core (required) script contains function and its export (functions, for multiple visualizations). +The script is run after the relevant visualization is selected in **Workbench**. The following function receives props of the executed commands: + ```typescript interface Props { command: string; // executed command @@ -126,7 +126,7 @@ export default { renderVisualization } Each plugin iframe has basic styles of RedisInsight application, including fonts and color schemes. It is recommended to use the React & [Elastic UI library](https://elastic.github.io/eui/#/) for -consistency with plugin visualisations and the entire application. +consistency with plugin visualizations and the entire application. Find the example of the plugin here. @@ -148,12 +148,15 @@ const { baseUrl, appVersion } = config ``` ### Plugin rendering + To render the plugin visualization, the iframe with basic html is generated which is then populated with relevant scripts and styles. To render the html data, use existing DOM Element `#app` or create your own DOM Elements. -Rendered iframe also includes `theme_DARK` or `theme_LIGHT` className on `body` to indicate the application theme used. -_Javascript Example:_ +The rendered iframe also includes `theme_DARK` or `theme_LIGHT` className on `body` to indicate the application theme used. + +**JavaScript** + ```javascript const renderVisualization = (props) => { const { command, data = [] } = props; @@ -172,7 +175,8 @@ const renderVisualization = (props) => { export default { renderVisualization } ``` -_React Example:_ +**React** + ```javascript import { render } from 'react-dom' import App from './App' @@ -190,7 +194,6 @@ const renderVisualization = (props) => { export default { renderVisualization } ``` - ## Plugin communication Use the [redisinsight-plugin-sdk](https://www.npmjs.com/package/redisinsight-plugin-sdk), which is a third party library, diff --git a/docs/ui/insight/plugins/plugin-installation.md b/docs/ui/insight/plugins/plugin-installation.md index daa696c5..64b39c7c 100644 --- a/docs/ui/insight/plugins/plugin-installation.md +++ b/docs/ui/insight/plugins/plugin-installation.md @@ -1,7 +1,7 @@ --- title: "Install RedisInsight plugins" linkTitle: Install plugin -description: Learn how to add `plugins` for the Workbench to RedisInsight +description: Learn how to add Workbench plugins to RedisInsight weight: 20 aliases: --- @@ -13,23 +13,22 @@ To avoid automatic execution of malicious code, when adding new plugins for Work {{% /alert %}} 1. Download the plugin for the Workbench. -2. Open the `plugins` folder with the following path: - * For MacOs: `/.redisinsight-preview/plugins` +1. Open the `plugins` folder with the following path: + * For MacOS: `/.redisinsight-preview/plugins` * For Windows: `C:/Users/{Username}/.redisinsight-preview/plugins` * For Linux: `/.redisinsight-preview/plugins` -3. Add the folder with plugin to the `plugins` folder. +1. Add the folder with plugin to the `plugins` folder. To see the uploaded plugin visualizations in the command results, reload the Workbench page and run Redis command relevant for this visualization. - ## Usage The plugin may contain different visualizations for any Redis commands. To see command results in the uploaded plugin visualization: 1. Open RedisInsight. -2. Open the database. -3. Open **Workbench**. -4. Run the Redis command for the plugin visualization. -5. Select the plugin visualization in which to display results, if this visualization has not been set by default. \ No newline at end of file +1. Open the database. +1. Open **Workbench**. +1. Run the Redis command for the plugin visualization. +1. Select the plugin visualization in which to display results, if this visualization has not been set by default. \ No newline at end of file diff --git a/docs/ui/insight/tools/browser.md b/docs/ui/insight/tools/browser.md index 43aba017..674463d8 100644 --- a/docs/ui/insight/tools/browser.md +++ b/docs/ui/insight/tools/browser.md @@ -6,7 +6,7 @@ weight: 10 --- -Browser offers [CRUD](https://en.wikipedia.org/wiki/Create,_read,_update_and_delete) support for lists, hashes, strings, sets, sorted sets, streams, as well as for [RedisJSON](/docs/stack/json). +**Browser** offers [CRUD](https://en.wikipedia.org/wiki/Create,_read,_update_and_delete) support for lists, hashes, strings, sets, sorted sets, streams, as well as for [RedisJSON](/docs/stack/json). * Browse, filter, and visualize your key-value Redis data structures. diff --git a/docs/ui/insight/tools/database-analysis.md b/docs/ui/insight/tools/database-analysis.md index c662ce7e..2b748439 100644 --- a/docs/ui/insight/tools/database-analysis.md +++ b/docs/ui/insight/tools/database-analysis.md @@ -1,12 +1,12 @@ --- -title: "Database analysis" -linkTitle: Database analysis +title: "Database Analysis" +linkTitle: Database Analysis description: Learn how RedisInsight helps to optimize your database weight: 10 aliases: --- -Use the database analysis tool to optimize the performance and memory usage of your Redis database. Check data type distribution and memory allocation and review the summary of key expiration time and memory to be freed over time. Inspect the top keys and namespaces sorted by consumed memory or key length and count of keys, respectively. Capture and track the changes in your database by viewing historical analysis reports. +Use the **Database Analysis** tool to optimize the performance and memory usage of your Redis database. Check data type distribution and memory allocation and review the summary of key expiration time and memory to be freed over time. Inspect the top keys and namespaces sorted by consumed memory or key length and count of keys, respectively. Capture and track the changes in your database by viewing historical analysis reports. Next figure shows a sample database analysis report. @@ -22,7 +22,9 @@ Recommendations are generated specifically for your Redis or Redis Stack databas -While investigating ways to optimize memory and performance, or inspecting cases when you noticed high memory usage in your Redis or Redis Stack database, you may need to find the biggest keys or most memory-intensive data structures in your database, or to analyze the allocation of data structures and compare it with previous periods. +## Optimizing your database memory and performance + +While investigating ways to optimize memory and performance, or inspecting cases when you noticed high memory usage in your Redis or Redis Stack database, you may need to find the biggest keys or most memory-intensive data structures, or to analyze the allocation of data structures and compare it with previous intervals. The **Database analysis** tool can help you to: @@ -31,24 +33,24 @@ The **Database analysis** tool can help you to: * Inspect the top keys and namespaces sorted by consumed memory or key length and count of keys, respectively. * Capture and track the changes in your database by viewing historical analysis reports. -After you launch RedisInsight following [Get started](/docs/interfaces/ui/insight/get-started): +After you launch RedisInsight following [Get started](/docs/ui/insight/get-started): * Add your Redis database instance or create a new and free cloud database. * To test the features, open the database. Then, go to **Analysis tools > Database Analysis** and generate a new report. RedisInsight automatically analyzes up to 10,000 keys in your database and generates a report with diagrams that contains a summary of your database. -The first generated diagram contain information about memory allocation and the number of keys per data structure in your Redis or Redis Stack database. Yoy get an overview of the most popular and memory-intensive data structures. +## Reviewing Database analysis report + +Next diagram contains information about memory allocation and the number of keys per data structure in your Redis or Redis Stack database. You get an overview of the most popular and memory-intensive data structures. -The next diagram summarizes the expiration time in your database, allowing you to observe the amount of memory to be freed over time. Configuring the expiration time helps to optimize memory usage because it allows Redis to automatically remove keys that are no longer needed. Additionally, it is useful for cache invalidation, ensuring that cached data is refreshed periodically to avoid stale data and keep the cache up to date. +And the next diagram summarizes the expiration time in your database. Observe the amount of memory to be freed over time. + +To optimize memory usage, configure the expiration time to allow Redis to automatically remove keys that are no longer needed. Setting the expiration time is useful for cache invalidation, because cached data is refreshed periodically to avoid stale data and keep the cache up to date. The **Database analysis** tool also gives you an overview of existing keys and namespaces used so you can find the biggest keys or the most memory-intensive or used namespaces in your database. RedisInsight also helps you capture and track changes in your database by providing historical analysis reports. - -## Feedback - -To provide your feedback, [open a ticket in our RedisInsight repository](https://github.com/RedisInsight/RedisInsight/issues/new). \ No newline at end of file diff --git a/docs/ui/insight/tools/workbench.md b/docs/ui/insight/tools/workbench.md index 02cdd231..b949f9e2 100644 --- a/docs/ui/insight/tools/workbench.md +++ b/docs/ui/insight/tools/workbench.md @@ -1,7 +1,7 @@ --- -title: RedisInsight Workbench +title: Workbench linkTitle: Workbench -description: RedisInsight Workbench +description: Intelligent command auto-complete and complex data visualizations weight: 10 --- @@ -9,13 +9,13 @@ weight: 10 Workbench is a command-line interface with intelligent command auto-complete and complex data visualizations that lets you run commands against your Redis server. Find Workbench on the left sidebar. It provides: -* Built-in examples that help you discover Redis and Redis Stack capabilities using the built-in guides. +* Built-in tutorials that help you discover Redis and Redis Stack capabilities using the built-in guides. * Command auto-complete support for all capabilities in Redis and Redis Stack. * Visualizations of your [RediSearch](https://oss.redis.com/redisearch/) index, queries, and aggregations. * Visualizations of your [RedisGraph](https://oss.redis.com/redisgraph/). - + * Visualizations of your [RedisTimeSeries](https://oss.redis.com/redistimeseries/) data. - + diff --git a/docs/ui/insight/tutorials/_index.md b/docs/ui/insight/tutorials/_index.md new file mode 100644 index 00000000..166f23b5 --- /dev/null +++ b/docs/ui/insight/tutorials/_index.md @@ -0,0 +1,10 @@ +--- +title: "RedisInsight tutorials" +linkTitle: Tutorials +description: Examples of building and interacting with databases in RedisInsight +weight: 60 +aliases: + - /docs/stack/insight/tutorials/insight-stream-consumer +--- + +RedisInsight allows you to browse, filter, and visualize key-value Redis data structures. It supports CRUD operation for lists, hashes, strings, sets, sorted sets, and so on. You can take advantage of built-in examples in Workbench to learn about the data structures. We'll guide you through one of those examples here and show you other practical ways to use RedisInsight with your databases. diff --git a/docs/ui/insight/examples.md b/docs/ui/insight/tutorials/nodejs-example.md similarity index 58% rename from docs/ui/insight/examples.md rename to docs/ui/insight/tutorials/nodejs-example.md index cddd7739..45fb04b5 100644 --- a/docs/ui/insight/examples.md +++ b/docs/ui/insight/tutorials/nodejs-example.md @@ -1,51 +1,12 @@ --- -title: "RedisInsight examples" -linkTitle: Examples -description: -weight: 60 +title: "Streams with Node.js" +linkTitle: Streams with Node.js +description: Monitor temperature and humidity from sensors +weight: 30 aliases: - - /docs/stack/insight/tutorials/insight-stream-consumer --- -RedisInsight allows you to browse, filter, and visualize key-value Redis data structures. It supports CRUD operation for lists, hashes, strings, sets, sorted sets, and so on. You can take advantage of built-in examples in Workbench to learn about the data structures. We'll guide you through one of those examples here and show you other practical ways to use RedisInsight with your databases. - -## Use RedisInsight to manage time series - -Examples you find in Workbench allow you interact with some sample data in a few taps. For this orientation, we will use an example called _Redis for time series_. - - - -If you haven't done so, install [Redis Stack](/docs/stack/get-started/install) and connect to a database. To try the tutorials, you can create a database manually using RedisInsight instructions. Then navigate to this example in Workbench and read the introduction. Next, you will create time series for bike shops. - -**Step 1: Create a time series per bike shop** - -Select the **Create time series per shop** button to create five time series for bike shops. - - - -This creates a time series per shop, tracking the total amount of all sales. As you can tell from the labels, each time series is marked `east` or `west` to query bike sales by time periods, shop, region, or across all shops. -Each shop has a numbered id. You also add the `DUPLICATE_POLICY SUM` argument to describe what should be done when two events in the same time series share the same timestamp. - -Here, we assume two sales happen at exactly the same time, resulting in a value that is the sum of two sales values. -If you're running this example from your command line, you'll see Redis `OK` responses. But, you can also follow along in Workbench by selecting the right arrow. - -Because the metrics are collected with a millisecond timestamp, you can compact the time series into sales per hour. - -**Step 2: Compact time series** - -Redis Stack supports downsampling with these aggregations: `avg`, `sum`, `min`, `max`, `range`, `count`, `first`, and `last`. If you want to keep all of your raw data points indefinitely, your data set grows linearly over time. However, if your use case allows you to have less fine-grained data further back in time, you can apply downsampling. This allows you to keep fewer historical data points by aggregating raw data for a given time window using a given aggregation function. - -Select the **Time series compaction** button to create five time series for bike shops. - - - -Follow the remaining steps in Workbench to load more data points and get sales based on different queries. - -Try other data structure examples in Workbench. Share your Redis expertise with your team and the wider community by building custom RedisInsight tutorials. Use our [instructions](https://github.com/RedisInsight/Tutorials) to describe your implementations of Redis for other users to follow and interact with in the context of a connected Redis database. - -## Use RedisInsight to manage streams and consumer groups - -You can add a stream in RedisInsight in two ways: create a new stream or add to an existing stream. +You can add a [stream](/docs/data-types/streams) in RedisInsight in two ways: create a new stream or add to an existing stream. To create a stream, start by selecting the key type (stream). You cannot set time to live (TTL) because it cannot be put on a message in a stream; it can only be done on a Redis key. Name the stream _mystream_. @@ -58,11 +19,9 @@ Now you have a stream that appears in the **Streams** view and you can continue RedisInsight runs read commands for you so you can see the stream entries in the **Streams** view. And the **Consumer Groups** view shows each consumers in a given consumer group and the last time Redis allocated a message, what the ID of it was and how many times that process has happened, and whether a consumer has you have told Redis that you are finished working with that task using the `XACK` command. -**Monitor temperature and humidity from sensors in RedisInsight** - This example shows how to interact with a stream built in Node.js. -**Step 1: Setup** +## Step 1: Setup 1. Install [RedisInsight](https://redis.com/redis-enterprise/redis-insight/?_ga=2.48624486.1318387955.1655817244-1963545967.1655260674#insight-form). 2. Download and install [Node.js](https://nodejs.org/en/download/) (LTS version). @@ -75,7 +34,7 @@ See the [README](https://github.com/redis-developer/introducing-redis-talk/tree/ npm install ``` -**Step 2: Run the producer** +## Step 2: Run the producer To start the producer, which will add a new entry to the stream every few seconds, enter: @@ -97,7 +56,7 @@ The producer runs indefinitely. Select `Ctrl+C` to stop it. You can start multiple instances of the producer if you want to add entries to the stream faster. -**Step 3: Run the consumer** +## Step 3: Run the consumer To start the consumer, which reads from the stream every few seconds, enter: @@ -132,7 +91,7 @@ Reading stream... Stop it using `Ctrl+C`. -**Step 4: Run a consumer group** +## Step 4: Run a consumer group A consumer group consists of multiple consumer instances working together. Redis manages allocation of entries read from the stream to members of a consumer group. A consumer in a group will receive a subset of the entries, with the group as a whole receiving all of them. When working in a consumer group, a consumer process must acknowledge receipt/processing of each entry. @@ -168,13 +127,13 @@ npm run consumergroup consumer3 The consumers will run indefinitely, waiting for new messages to be added to the stream by a producer instance when they have collectively consumed the entire stream. Note that in this model, each consumer instance does not receive all of the entries from the stream, but the three members of the group each receive a subset. -**Step 5: View the stream in RedisInsight** +## Step 5: View the stream in RedisInsight 1. Launch RedisInsight. 1. Select `localhost:6379` 1. Select **STREAM**. Optionally, select full screen from the upper right corner to expand the view. - + You can now toggle between **Stream** and **Consumer Groups** views to see your data. A stream is an append-only log so you can't modify the contents of an entry, but you can delete an entire entry. @@ -186,6 +145,7 @@ You can continue interacting with your stream at the CLI. For example, to get th XLEN ingest:temphumidity ``` -Use streams for auditing and processing events in banking, gaming, supply chain, IoT, social media, and so on. +## Learn more -For more information about streams, see [Redis Streams](/docs/manual/data-types/streams). Also check out [Introducing Redis Streams with RedisInsight, node.js, and Python](https://www.youtube.com/watch?v=q2UOkQmIo9Q) (video). \ No newline at end of file +* [Redis Streams](/docs/manual/data-types/streams) +* [Introducing Redis Streams with RedisInsight, node.js, and Python](https://www.youtube.com/watch?v=q2UOkQmIo9Q) (video). \ No newline at end of file diff --git a/docs/ui/insight/tutorials/workbench-tutorial.md b/docs/ui/insight/tutorials/workbench-tutorial.md new file mode 100644 index 00000000..37e8bcc8 --- /dev/null +++ b/docs/ui/insight/tutorials/workbench-tutorial.md @@ -0,0 +1,41 @@ +--- +title: "Workbench tutorials" +linkTitle: Workbench tutorials +description: Interact with Workbench tutorials +weight: 20 +aliases: +--- + +Tutorials you find in **Workbench** allow you interact with some sample data in a few taps. For this orientation, we will use an example called _Redis for time series_. + + + +If you haven't done so, [add a database](/docs/ui/insight/get-started#add-a-redis-database). To try the tutorials, you can create a database manually using RedisInsight instructions. Then navigate to this example in Workbench and read the introduction. Next, you will create time series for bike shops. + +## Step 1: Create a time series per bike shop + +Select the **Create time series per shop** button to create five time series for bike shops. + + + +This creates a time series per shop, tracking the total amount of all sales. As you can tell from the labels, each time series is marked `east` or `west` to query bike sales by time periods, shop, region, or across all shops. +Each shop has a numbered id. You also add the `DUPLICATE_POLICY SUM` argument to describe what should be done when two events in the same time series share the same timestamp. + +Here, we assume two sales happen at exactly the same time, resulting in a value that is the sum of two sales values. +If you're running this example from your command line, you'll see Redis `OK` responses. But, you can also follow along in Workbench by selecting the right arrow. + +Because the metrics are collected with a millisecond timestamp, you can compact the time series into sales per hour. + +## Step 2: Compact time series + +Redis Stack supports downsampling with these aggregations: `avg`, `sum`, `min`, `max`, `range`, `count`, `first`, and `last`. If you want to keep all of your raw data points indefinitely, your data set grows linearly over time. However, if your use case allows you to have less fine-grained data further back in time, you can apply downsampling. This allows you to keep fewer historical data points by aggregating raw data for a given time window using a given aggregation function. + +Select the **Time series compaction** button to create five time series for bike shops. + + + +Follow the remaining steps in Workbench to load more data points and get sales based on different queries. + +## Create your own Workbench tutorial + +Try other data structure examples in Workbench. Share your Redis expertise with your team and the wider community by building custom RedisInsight tutorials. Use our [instructions](https://github.com/RedisInsight/Tutorials) to describe your implementations of Redis for other users to follow and interact with in the context of a connected Redis database. From 9ca8be2b610f875a9d816e547cb89a336e985a97 Mon Sep 17 00:00:00 2001 From: Nermina Miller Date: Wed, 12 Apr 2023 01:59:14 -0400 Subject: [PATCH 21/37] Updates dictionary --- dictionary.txt | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/dictionary.txt b/dictionary.txt index d1a81894..74b33f34 100644 --- a/dictionary.txt +++ b/dictionary.txt @@ -18,17 +18,20 @@ Caskroom CentOS7 Centos8 chmod +className CO2 CommandLineRunner Config CMS CRM CrudRepository +css Cypher datacenters datastore deserialize deserialized +dir DNS Dotenv Downey @@ -46,6 +49,7 @@ Cypher datacenter dataset DevOps +DOM Dotenv Downey dually @@ -61,6 +65,7 @@ Github Gzip Hemsworth Homebrew +html HyperLogLog HyperLogLogs IAM @@ -68,6 +73,8 @@ Initializer IoT IPs IaaS +IFrame +iframe inferencing Initializer integrations @@ -102,6 +109,7 @@ PeopleController PeopleControllerV1 PeopleRepository PeopleService +pluginName PowerShell preselected product-lifecycle @@ -126,6 +134,7 @@ RedisConnectionProvider RedisDocumentRepository RedisGraph RedisInsight +redisinsight-plugin-sdk RedisJSON RedisTimeSeries RSALv2 @@ -144,6 +153,8 @@ SortOrder.ASC Springfox SSPLv1 Stapleton's +stylesheet +subfolder Sublicensing SwaggerUI Systemd From 9bc529458816b51940e09f73280e28eac5f0207a Mon Sep 17 00:00:00 2001 From: Nermina Miller Date: Wed, 12 Apr 2023 02:03:55 -0400 Subject: [PATCH 22/37] Updates dictionary --- dictionary.txt | 1 + 1 file changed, 1 insertion(+) diff --git a/dictionary.txt b/dictionary.txt index 74b33f34..6690582f 100644 --- a/dictionary.txt +++ b/dictionary.txt @@ -162,6 +162,7 @@ tiering TTL TShark UI +ui ULID ULIDs Unlink From 83e923211b8df83158154c98edc3fcb173734593 Mon Sep 17 00:00:00 2001 From: Nermina Miller Date: Wed, 12 Apr 2023 02:06:27 -0400 Subject: [PATCH 23/37] Updates dictionary --- dictionary.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/dictionary.txt b/dictionary.txt index 6690582f..f61dc06f 100644 --- a/dictionary.txt +++ b/dictionary.txt @@ -154,7 +154,6 @@ Springfox SSPLv1 Stapleton's stylesheet -subfolder Sublicensing SwaggerUI Systemd @@ -298,6 +297,7 @@ springfox-swagger-ui src staticName storages +subfolder sublicense subvalues sudo From 29cfbef7dae8b57512eee6a5311be858eb36be43 Mon Sep 17 00:00:00 2001 From: Nermina Miller Date: Wed, 12 Apr 2023 02:09:48 -0400 Subject: [PATCH 24/37] Updates dictionary --- dictionary.txt | 1 + 1 file changed, 1 insertion(+) diff --git a/dictionary.txt b/dictionary.txt index f61dc06f..2c06389d 100644 --- a/dictionary.txt +++ b/dictionary.txt @@ -1,3 +1,4 @@ +subfolder 1M 5M .env From 65d1ad87ec3fa8197b2421348b0fdcbd0368d296 Mon Sep 17 00:00:00 2001 From: Nermina Miller Date: Wed, 12 Apr 2023 02:15:58 -0400 Subject: [PATCH 25/37] Updates About Stack topic per Pieter's and Viktar's feedback --- docs/stack/about/index.md | 17 +++++++++-------- docs/ui/insight/plugins/plugin-development.md | 2 +- 2 files changed, 10 insertions(+), 9 deletions(-) diff --git a/docs/stack/about/index.md b/docs/stack/about/index.md index 5c65aa73..5cc74ee2 100644 --- a/docs/stack/about/index.md +++ b/docs/stack/about/index.md @@ -31,16 +31,17 @@ to help you build modern applications where performance is paramount. ## RedisInsight -The best way to get started with Redis Stack is with [RedisInsight](/docs/ui/insight), a visualization tool for understanding and optimizing Redis data. +The best way to get started with Redis and Redis Stack is with [RedisInsight](/docs/ui/insight), a visualization tool for understanding and optimizing Redis data. RedisInsight allows you to: -* View data structures visually with the Browser tool and group keys according to their namespaces. -* Use CRUD on most Redis Stack data structures. -* Leverage Workbench, an advanced command-line interface with intelligent command auto-complete and complex data visualizations. -* Analyze traffic to Redis in real time using the Profiler tool. -* Use embedded Redis CLI at any time. -* Analyze memory usage with the Memory Analysis tool. -* Identify and troubleshoot bottlenecks using the Slowlog tool. + +* View data structures visually with the **Browser** tool and group keys according to their namespaces. +* Use CRUD on Redis and Redis Stack data structures. +* Leverage **Workbench**, an advanced command-line interface with visualizations for Redis Stack capabilities and data structures, including query and search capability, time series, and probabilistic data structures. +* Debug your application by analyzing every command sent to the Redis or Redis Stack instance in real time using the **Profiler** tool. +* Use embedded Redis CLI with command helper and syntax highlights. +* Optimize the performance and memory usage by generating personalized recommendations with the **Database Analysis** tool. +* Identify and troubleshoot bottlenecks using the **Slow Log** tool. ## Redis Stack packaging diff --git a/docs/ui/insight/plugins/plugin-development.md b/docs/ui/insight/plugins/plugin-development.md index 40f26b6f..8472c1fa 100644 --- a/docs/ui/insight/plugins/plugin-development.md +++ b/docs/ui/insight/plugins/plugin-development.md @@ -22,7 +22,7 @@ Default plugins are located inside the application. ### Files -`package.json` should be located in the root folder of your plugins, all other files can be included into a subfolder. +`package.json` should be located in the root folder of your plugins, all other files can be included into a sub-folder. * **pluginName/package.json** *(required)*: Manifest of the plugin * **pluginName/{anyName}.js** *(required)*: Core script of the plugin From 01b1d8622e3d5091b6190fe5a7ee5ee24e327073 Mon Sep 17 00:00:00 2001 From: Nermina Miller <102551568+nermiller@users.noreply.github.com> Date: Fri, 14 Apr 2023 03:39:43 -0400 Subject: [PATCH 26/37] Update docs/ui/insight/get-started.md Co-authored-by: Rachel Elledge <86307637+rrelledge@users.noreply.github.com> --- docs/ui/insight/get-started.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/ui/insight/get-started.md b/docs/ui/insight/get-started.md index 65b29d26..9aeda2c8 100644 --- a/docs/ui/insight/get-started.md +++ b/docs/ui/insight/get-started.md @@ -63,7 +63,7 @@ redisinsight ``` * For any common Linux distribution, use AppImage. - - To make your downloaded file into an executable, run: + - To make your downloaded file executable, run: ``` chmod a+x RedisInsight-v2-linux-x86_64.AppImage From 8a7f7d40504f3addc7cda4b9e99a3173251c823d Mon Sep 17 00:00:00 2001 From: Nermina Miller <102551568+nermiller@users.noreply.github.com> Date: Fri, 14 Apr 2023 03:40:02 -0400 Subject: [PATCH 27/37] Update docs/ui/insight/get-started.md Co-authored-by: Rachel Elledge <86307637+rrelledge@users.noreply.github.com> --- docs/ui/insight/get-started.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/ui/insight/get-started.md b/docs/ui/insight/get-started.md index 9aeda2c8..b827b58c 100644 --- a/docs/ui/insight/get-started.md +++ b/docs/ui/insight/get-started.md @@ -37,7 +37,7 @@ Standalone downloads are available for Windows, MacOS, and Linux from the Redis brew install --cask redisinsight ``` -To start RedisInsight, from your Terminal, run this command. +To start RedisInsight from your Terminal, run this command. ``` redisinsight From e35f6274070be730c149e9e071f695a537b75c93 Mon Sep 17 00:00:00 2001 From: Nermina Miller <102551568+nermiller@users.noreply.github.com> Date: Fri, 14 Apr 2023 03:40:22 -0400 Subject: [PATCH 28/37] Update docs/ui/insight/get-started.md Co-authored-by: Rachel Elledge <86307637+rrelledge@users.noreply.github.com> --- docs/ui/insight/get-started.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/ui/insight/get-started.md b/docs/ui/insight/get-started.md index b827b58c..37cc4040 100644 --- a/docs/ui/insight/get-started.md +++ b/docs/ui/insight/get-started.md @@ -69,7 +69,7 @@ redisinsight chmod a+x RedisInsight-v2-linux-x86_64.AppImage ``` - - To start RedisInsight, open the Linux command line and navigate to the folder containing the downloaded file. Then, run: + - To start RedisInsight, open the Linux command line and navigate to the directory containing the downloaded file. Then, run: ``` ./RedisInsight-v2-linux-x86_64.AppImage From c7551809c031973e5aebef5942e93b6e42284633 Mon Sep 17 00:00:00 2001 From: Nermina Miller <102551568+nermiller@users.noreply.github.com> Date: Fri, 14 Apr 2023 03:40:48 -0400 Subject: [PATCH 29/37] Update docs/ui/insight/get-started.md Co-authored-by: Rachel Elledge <86307637+rrelledge@users.noreply.github.com> --- docs/ui/insight/get-started.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/ui/insight/get-started.md b/docs/ui/insight/get-started.md index 37cc4040..96470a47 100644 --- a/docs/ui/insight/get-started.md +++ b/docs/ui/insight/get-started.md @@ -105,4 +105,4 @@ RedisInsight allows you to specify the color theme of your choice. Select **Sett ## Explore -To explore ways you can interact with your database, see [Tools](/docs/ui/insight/tools] and [Tutorials](/docs/ui/insight/tutorials). +To explore ways you can interact with your database, see [Tools](/docs/ui/insight/tools) and [Tutorials](/docs/ui/insight/tutorials). From 08e5d90b04e8231000d1377e5a600b941d5c91e0 Mon Sep 17 00:00:00 2001 From: Nermina Miller <102551568+nermiller@users.noreply.github.com> Date: Fri, 14 Apr 2023 03:41:13 -0400 Subject: [PATCH 30/37] Update docs/ui/insight/plugins/plugin-development.md Co-authored-by: Rachel Elledge <86307637+rrelledge@users.noreply.github.com> --- docs/ui/insight/plugins/plugin-development.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/ui/insight/plugins/plugin-development.md b/docs/ui/insight/plugins/plugin-development.md index 8472c1fa..3eec5e9a 100644 --- a/docs/ui/insight/plugins/plugin-development.md +++ b/docs/ui/insight/plugins/plugin-development.md @@ -22,7 +22,7 @@ Default plugins are located inside the application. ### Files -`package.json` should be located in the root folder of your plugins, all other files can be included into a sub-folder. +`package.json` should be located in the root folder of your plugins. All other files can be included in a subfolder. * **pluginName/package.json** *(required)*: Manifest of the plugin * **pluginName/{anyName}.js** *(required)*: Core script of the plugin From 8eb32028f68e92ba3ddb9841c0a571ef1fbd4357 Mon Sep 17 00:00:00 2001 From: Nermina Miller <102551568+nermiller@users.noreply.github.com> Date: Fri, 14 Apr 2023 03:41:45 -0400 Subject: [PATCH 31/37] Update docs/ui/insight/plugins/plugin-development.md Co-authored-by: Rachel Elledge <86307637+rrelledge@users.noreply.github.com> --- docs/ui/insight/plugins/plugin-development.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/ui/insight/plugins/plugin-development.md b/docs/ui/insight/plugins/plugin-development.md index 3eec5e9a..09d49166 100644 --- a/docs/ui/insight/plugins/plugin-development.md +++ b/docs/ui/insight/plugins/plugin-development.md @@ -28,7 +28,7 @@ Default plugins are located inside the application. * **pluginName/{anyName}.js** *(required)*: Core script of the plugin * **pluginName/{anyName}.css** *(optional)*: File with styles for the plugin visualizations * **pluginName/{anyFileOrFolder}** *(optional)*: Specify any other file or folder inside the plugin folder -to use by the core module script. Example: `pluginName/images/image.png`. +for the core module script to use. Example: `pluginName/images/image.png`. ## `package.json` structure From e2dac13c341946d89b1b666444da27129c93f4c9 Mon Sep 17 00:00:00 2001 From: Nermina Miller <102551568+nermiller@users.noreply.github.com> Date: Fri, 14 Apr 2023 03:42:19 -0400 Subject: [PATCH 32/37] Update docs/ui/insight/plugins/plugin-development.md Co-authored-by: Rachel Elledge <86307637+rrelledge@users.noreply.github.com> --- docs/ui/insight/plugins/plugin-development.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/ui/insight/plugins/plugin-development.md b/docs/ui/insight/plugins/plugin-development.md index 09d49166..eb08a7a8 100644 --- a/docs/ui/insight/plugins/plugin-development.md +++ b/docs/ui/insight/plugins/plugin-development.md @@ -32,7 +32,7 @@ for the core module script to use. Example: `pluginName/images/image.png`. ## `package.json` structure -To use the plugin, the `package.json` file should include these required fields: +To use the plugin, the `package.json` file must include these required fields: From 21b7c4647c01a50206bac5b6576bf11b84243adf Mon Sep 17 00:00:00 2001 From: Nermina Miller <102551568+nermiller@users.noreply.github.com> Date: Fri, 14 Apr 2023 03:43:54 -0400 Subject: [PATCH 33/37] Update docs/ui/insight/plugins/plugin-development.md Co-authored-by: Rachel Elledge <86307637+rrelledge@users.noreply.github.com> --- docs/ui/insight/plugins/plugin-development.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/ui/insight/plugins/plugin-development.md b/docs/ui/insight/plugins/plugin-development.md index eb08a7a8..10a41bd8 100644 --- a/docs/ui/insight/plugins/plugin-development.md +++ b/docs/ui/insight/plugins/plugin-development.md @@ -46,7 +46,7 @@ To use the plugin, the `package.json` file must include these required fields:
    visualizations - Array of visualizations (objects) to visualize the results in the Workbench. + Array of objects to visualize the results in the Workbench.

    Required fields in visualizations:
      From f00a7a2b10ac73eb0872fa9de853ee5ec9fb860f Mon Sep 17 00:00:00 2001 From: Nermina Miller <102551568+nermiller@users.noreply.github.com> Date: Fri, 14 Apr 2023 03:44:52 -0400 Subject: [PATCH 34/37] Update docs/ui/insight/tools/slow-log.md Co-authored-by: Rachel Elledge <86307637+rrelledge@users.noreply.github.com> --- docs/ui/insight/tools/slow-log.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/ui/insight/tools/slow-log.md b/docs/ui/insight/tools/slow-log.md index de1b4003..37b4f4c3 100644 --- a/docs/ui/insight/tools/slow-log.md +++ b/docs/ui/insight/tools/slow-log.md @@ -6,6 +6,6 @@ weight: 10 --- -The Slow Log tool displays the list of logs captured by the `SLOWLOG` command to analyze all commands that exceed a specified runtime, which helps with troubleshooting performance issues. Specify both the runtime and the maximum length of Slowlog (which are server configurations) to configure the list of commands logged and set the auto-refresh interval to automatically update the list of commands displayed. +The Slow Log tool displays the list of logs captured by the `SLOWLOG` command, which allows you to analyze all commands that exceed a specified runtime and helps you troubleshoot performance issues. Specify both the runtime and the maximum length of Slowlog (which are server configurations) to configure the list of commands logged and set the auto-refresh interval to automatically update the list of commands displayed. From 1b5b5e8f1cd00733f2f34839f3c5a5dbc379e110 Mon Sep 17 00:00:00 2001 From: Nermina Miller <102551568+nermiller@users.noreply.github.com> Date: Fri, 14 Apr 2023 03:50:15 -0400 Subject: [PATCH 35/37] Apply suggestions from code review Co-authored-by: Rachel Elledge <86307637+rrelledge@users.noreply.github.com> --- docs/ui/insight/plugins/plugin-development.md | 24 +++++++++---------- .../ui/insight/plugins/plugin-installation.md | 8 +++---- docs/ui/insight/tools/_index.md | 2 +- docs/ui/insight/tools/browser.md | 2 +- docs/ui/insight/tools/bulk-actions.md | 10 +++++++- docs/ui/insight/tools/cli.md | 2 +- .../ui/insight/tools/connection-management.md | 6 ++--- docs/ui/insight/tools/database-analysis.md | 14 +++++------ docs/ui/insight/tools/slow-log.md | 2 +- 9 files changed, 38 insertions(+), 32 deletions(-) diff --git a/docs/ui/insight/plugins/plugin-development.md b/docs/ui/insight/plugins/plugin-development.md index 10a41bd8..c8f46b7e 100644 --- a/docs/ui/insight/plugins/plugin-development.md +++ b/docs/ui/insight/plugins/plugin-development.md @@ -50,7 +50,7 @@ To use the plugin, the `package.json` file must include these required fields:

      Required fields in visualizations:
        -
      • id: Visualization id
      • +
      • id: Visualization ID
      • name: Visualization name to display in Workbench
      • activationMethod: Name of the exported function to call when this visualization is selected in the Workbench
      • @@ -63,7 +63,7 @@ this visualization is selected in the Workbench
    -You can specify the path to a css file in the `styles` field. If specified, +You can specify the path to a CSS file in the `styles` field. If specified, this file will be included inside the IFrame plugin. Simple example of the `package.json` file with required and optional fields: @@ -100,10 +100,10 @@ Simple example of the `package.json` file with required and optional fields: ## Core script of the plugin -The core (required) script contains function and its export (functions, for multiple visualizations). -The script is run after the relevant visualization is selected in **Workbench**. +The core (required) script contains a function and its export (functions, for multiple visualizations). +The script runs after the relevant visualization is selected in **Workbench**. -The following function receives props of the executed commands: +The following function receives `Props` of the executed commands: ```typescript interface Props { @@ -123,12 +123,12 @@ const renderVisualization = (props: Props) => { export default { renderVisualization } ``` -Each plugin iframe has basic styles of RedisInsight application, including fonts and color schemes. +Each plugin iframe has basic styles that match the RedisInsight application, including fonts and color schemes. It is recommended to use the React & [Elastic UI library](https://elastic.github.io/eui/#/) for consistency with plugin visualizations and the entire application. -Find the example of the plugin here. +For a plugin example, see: * [Client List Plugin README](https://github.com/RedisInsight/Packages/blob/main/clients-list-example/README.md) * [Client List Plugin dir](https://github.com/RedisInsight/Packages/blob/main/clients-list-example/) @@ -149,11 +149,11 @@ const { baseUrl, appVersion } = config ### Plugin rendering -To render the plugin visualization, the iframe with basic html is generated which is -then populated with relevant scripts and styles. To render the html data, use existing -DOM Element `#app` or create your own DOM Elements. +To render the plugin visualization, the iframe with basic HTML is generated and +then populated with relevant scripts and styles. To render the HTML data, use the existing +DOM element `#app` or create your own DOM elements. -The rendered iframe also includes `theme_DARK` or `theme_LIGHT` className on `body` to indicate the application theme used. +The rendered iframe also includes `theme_DARK` or `theme_LIGHT` `className` on `body` to indicate the application theme used. **JavaScript** @@ -199,4 +199,4 @@ export default { renderVisualization } Use the [redisinsight-plugin-sdk](https://www.npmjs.com/package/redisinsight-plugin-sdk), which is a third party library, to communicate with the main app. -Find the list and description of methods called in the [README.md](https://github.com/RedisInsight/RedisInsight/blob/main/redisinsight/ui/src/packages/clients-list/README.md). +For a list of methods and their descriptions, see the [README.md](https://github.com/RedisInsight/RedisInsight/blob/main/redisinsight/ui/src/packages/clients-list/README.md). diff --git a/docs/ui/insight/plugins/plugin-installation.md b/docs/ui/insight/plugins/plugin-installation.md index 64b39c7c..11275339 100644 --- a/docs/ui/insight/plugins/plugin-installation.md +++ b/docs/ui/insight/plugins/plugin-installation.md @@ -8,7 +8,7 @@ aliases: {{% alert title="Note" color="warning" %}} -To avoid automatic execution of malicious code, when adding new plugins for Workbench, use files from trusted authors only. +To avoid automatic execution of malicious code when adding new Workbench plugins, use files from trusted authors only. {{% /alert %}} @@ -17,10 +17,10 @@ To avoid automatic execution of malicious code, when adding new plugins for Work * For MacOS: `/.redisinsight-preview/plugins` * For Windows: `C:/Users/{Username}/.redisinsight-preview/plugins` * For Linux: `/.redisinsight-preview/plugins` -1. Add the folder with plugin to the `plugins` folder. +1. Add the folder that contains the plugin to the `plugins` folder. To see the uploaded plugin visualizations in the command results, reload the Workbench -page and run Redis command relevant for this visualization. +page and run the relevant Redis command. ## Usage @@ -31,4 +31,4 @@ To see command results in the uploaded plugin visualization: 1. Open the database. 1. Open **Workbench**. 1. Run the Redis command for the plugin visualization. -1. Select the plugin visualization in which to display results, if this visualization has not been set by default. \ No newline at end of file +1. Select the plugin visualization to use if this visualization was not set by default. \ No newline at end of file diff --git a/docs/ui/insight/tools/_index.md b/docs/ui/insight/tools/_index.md index e5f46acb..4822b54b 100644 --- a/docs/ui/insight/tools/_index.md +++ b/docs/ui/insight/tools/_index.md @@ -6,4 +6,4 @@ weight: 30 --- -RedisInsight makes it easy to query, visualize, and interactively work with Redis capabilities. Whether using Redis Stack, Redis Enterprise, or Redis Enterprise Cloud, RedisInsight allows you to manipulate complex data models such as documents, graphs, and time series. Explore queryable JSON documents, full-text search, probabilistic data structures, and more. +RedisInsight makes it easy to query, visualize, and interactively work with Redis capabilities. Whether using Redis Stack, Redis Enterprise Software, or Redis Enterprise Cloud, RedisInsight allows you to manipulate complex data models such as documents, graphs, and time series. Explore queryable JSON documents, full-text search, probabilistic data structures, and more. diff --git a/docs/ui/insight/tools/browser.md b/docs/ui/insight/tools/browser.md index 674463d8..960a73e2 100644 --- a/docs/ui/insight/tools/browser.md +++ b/docs/ui/insight/tools/browser.md @@ -6,7 +6,7 @@ weight: 10 --- -**Browser** offers [CRUD](https://en.wikipedia.org/wiki/Create,_read,_update_and_delete) support for lists, hashes, strings, sets, sorted sets, streams, as well as for [RedisJSON](/docs/stack/json). +**Browser** offers [CRUD](https://en.wikipedia.org/wiki/Create,_read,_update_and_delete) support for lists, hashes, strings, sets, sorted sets, streams, and [RedisJSON](/docs/stack/json). * Browse, filter, and visualize your key-value Redis data structures. diff --git a/docs/ui/insight/tools/bulk-actions.md b/docs/ui/insight/tools/bulk-actions.md index 56c47ef4..45ff1da8 100644 --- a/docs/ui/insight/tools/bulk-actions.md +++ b/docs/ui/insight/tools/bulk-actions.md @@ -6,7 +6,15 @@ weight: 10 aliases: --- -Easily and quickly delete multiple keys of the same type and/or with the same key name pattern in bulk. To do so, in the List or Tree view, set filters per key type or key names and open the Bulk Actions section. The section displays a summary of all the keys with the expected number of keys that will be deleted based on the set filters. +With bulk actions, you can delete multiple keys with the same type, the same key name pattern, or both in bulk. + +To delete multiple keys in bulk: + + 1. In the List or Tree view, filter by key type or key name. + + 1. Select **Bulk Actions** to display the keys and the expected number of keys to be deleted based on the configured filters. + + 1. Select **Delete**. When the bulk deletion is completed, RedisInsight displays the results of this operation with the number of keys processed and the time taken to delete the keys in bulk. Use bulk deletion to optimize the usage of your database based on the results from the Redis database analysis. diff --git a/docs/ui/insight/tools/cli.md b/docs/ui/insight/tools/cli.md index 9335efc5..8538d550 100644 --- a/docs/ui/insight/tools/cli.md +++ b/docs/ui/insight/tools/cli.md @@ -9,7 +9,7 @@ weight: 10 The CLI is accessible at any time within the application. It includes: * Type-ahead help. -* A command helper that lets you filter and search. +* A command helper that lets you filter and search commands. Try executing Redis commands as shown here. diff --git a/docs/ui/insight/tools/connection-management.md b/docs/ui/insight/tools/connection-management.md index 775e2b55..76a5489f 100644 --- a/docs/ui/insight/tools/connection-management.md +++ b/docs/ui/insight/tools/connection-management.md @@ -7,8 +7,8 @@ weight: 10 --- -* Automatically discover and add your local Redis or Redis Stack databases (that use standalone connection type and do not require authentication). -* Discover your databases in Redis Enterprise Cluster and databases with Flexible plans in Redis Cloud. -* Use a form to enter your connection details and add any Redis database running anywhere (including OSS Cluster, Sentinel). +* Automatically discover and add your local Redis or Redis Stack databases (that use the standalone connection type and do not require authentication). +* Discover your databases in Redis Enterprise Software and databases with Flexible plans in Redis Cloud. +* Use a form to enter your connection details and add any Redis database running anywhere (including OSS Cluster and Sentinel). \ No newline at end of file diff --git a/docs/ui/insight/tools/database-analysis.md b/docs/ui/insight/tools/database-analysis.md index 2b748439..1a25d9b6 100644 --- a/docs/ui/insight/tools/database-analysis.md +++ b/docs/ui/insight/tools/database-analysis.md @@ -8,7 +8,7 @@ aliases: Use the **Database Analysis** tool to optimize the performance and memory usage of your Redis database. Check data type distribution and memory allocation and review the summary of key expiration time and memory to be freed over time. Inspect the top keys and namespaces sorted by consumed memory or key length and count of keys, respectively. Capture and track the changes in your database by viewing historical analysis reports. -Next figure shows a sample database analysis report. +The following image shows a sample database analysis report. @@ -22,9 +22,9 @@ Recommendations are generated specifically for your Redis or Redis Stack databas -## Optimizing your database memory and performance +## Optimize database memory and performance -While investigating ways to optimize memory and performance, or inspecting cases when you noticed high memory usage in your Redis or Redis Stack database, you may need to find the biggest keys or most memory-intensive data structures, or to analyze the allocation of data structures and compare it with previous intervals. +While investigating ways to optimize memory and performance or inspecting high memory usage in your Redis or Redis Stack database, you may need to find the biggest keys or most memory-intensive data structures or analyze the allocation of data structures and compare it with previous intervals. The **Database analysis** tool can help you to: @@ -35,22 +35,20 @@ The **Database analysis** tool can help you to: After you launch RedisInsight following [Get started](/docs/ui/insight/get-started): -* Add your Redis database instance or create a new and free cloud database. +* Add your Redis database instance or create a new, free Redis Enterprise Cloud database. * To test the features, open the database. Then, go to **Analysis tools > Database Analysis** and generate a new report. RedisInsight automatically analyzes up to 10,000 keys in your database and generates a report with diagrams that contains a summary of your database. -## Reviewing Database analysis report +## Review database analysis report Next diagram contains information about memory allocation and the number of keys per data structure in your Redis or Redis Stack database. You get an overview of the most popular and memory-intensive data structures. -And the next diagram summarizes the expiration time in your database. Observe the amount of memory to be freed over time. +The next diagram summarizes the expiration time in your database and the amount of memory to be freed over time. To optimize memory usage, configure the expiration time to allow Redis to automatically remove keys that are no longer needed. Setting the expiration time is useful for cache invalidation, because cached data is refreshed periodically to avoid stale data and keep the cache up to date. -The **Database analysis** tool also gives you an overview of existing keys and namespaces used so you can find the biggest keys or the most memory-intensive or used namespaces in your database. -RedisInsight also helps you capture and track changes in your database by providing historical analysis reports. diff --git a/docs/ui/insight/tools/slow-log.md b/docs/ui/insight/tools/slow-log.md index 37b4f4c3..ef05affd 100644 --- a/docs/ui/insight/tools/slow-log.md +++ b/docs/ui/insight/tools/slow-log.md @@ -1,7 +1,7 @@ --- title: Slow Log linkTitle: Slow Log -description: Display logs captured by SLOWLOG command +description: Display logs captured by the SLOWLOG command weight: 10 --- From 850f0499dfda46a41b7983ba2ee4cd12d1804a0f Mon Sep 17 00:00:00 2001 From: Nermina Miller Date: Fri, 21 Apr 2023 03:41:04 -0400 Subject: [PATCH 36/37] Applies Viktar's feedback --- docs/ui/insight/get-started.md | 25 +++++++++++-------- docs/ui/insight/plugins/_index.md | 2 +- docs/ui/insight/plugins/plugin-development.md | 2 +- docs/ui/insight/tools/browser.md | 19 +++++++++----- docs/ui/insight/tools/cli.md | 12 ++++++--- .../ui/insight/tools/connection-management.md | 10 +++++--- docs/ui/insight/tools/profiler.md | 20 ++++++++++++++- docs/ui/insight/tools/search.md | 16 +++++++++--- docs/ui/insight/tools/slow-log.md | 18 ++++++++++++- docs/ui/insight/tools/workbench.md | 18 ++++++------- 10 files changed, 103 insertions(+), 39 deletions(-) diff --git a/docs/ui/insight/get-started.md b/docs/ui/insight/get-started.md index 96470a47..cf77cc51 100644 --- a/docs/ui/insight/get-started.md +++ b/docs/ui/insight/get-started.md @@ -47,7 +47,6 @@ redisinsight * Go to [Apple Store](https://apps.apple.com/us/app/redisinsight/id6446987963) and download the RedisInsight app. - ## Install on Linux **From website** @@ -56,13 +55,8 @@ redisinsight 1. Open the Linux command line and install the package. - * For Debian, run: - - ``` - sudo apt install ./RedisInsight-v2-linux-amd64.deb - ``` + * For the `.AppImage` package: - * For any common Linux distribution, use AppImage. - To make your downloaded file executable, run: ``` @@ -75,17 +69,28 @@ redisinsight ./RedisInsight-v2-linux-x86_64.AppImage ``` + * For Debian, run: + + ``` + sudo apt install ./RedisInsight-v2-linux-amd64.deb + ``` + + **From stores** * You can install RedisInsight from [Snapcraft](https://snapcraft.io/redisinsight) or [FlatHub](https://flathub.org/apps/details/com.redis.RedisInsight) using instructions available at those sites. ## Add a Redis database -You can add a Redis database manually, create a new Redis Enterprise Cloud database, or connect to an existing database. To try Redis Enterprise Cloud, select **Try Redis Cloud with enhanced database capabilities**. +If you already have a Redis database, you can: + +* Add it manually by specifying connection details. + +* Auto-discover your Redis Enterprise Cluster or Cloud databases, as well as your Redis Sentinel instances. -If you already have Redis database up and running locally, select **Autodiscover Databases**. +If you need a free Redis database with modern data models and processing engines, select **Try Redis Cloud with enhanced database capabilities**. -Enter the requested details, then click **Submit** or **Add Redis Database**. +If you already have a Redis database up and running locally, RedisInsight automatically searches for it and adds it if found. Once added, your database appears with **Database Alias**, **Host:Port**, **Connection Type**, **Modules**, and **Last connection**. diff --git a/docs/ui/insight/plugins/_index.md b/docs/ui/insight/plugins/_index.md index cc945eaf..40cff338 100644 --- a/docs/ui/insight/plugins/_index.md +++ b/docs/ui/insight/plugins/_index.md @@ -9,7 +9,7 @@ aliases: With RedisInsight, you can extend the core functionality by building your own data visualizations. Redis can hold a range of different data types. Visualizing these data types in a format that's convenient to you for validation and debugging is paramount. -You can now easily extend the core functionality of RedisInsight independently by building your own custom visualization plugin. +You can now easily extend the core functionality of RedisInsight independently by building your own custom visualization plugin. Data visualization provided by the plugin is rendered in the **Workbench** results area and is based on the executed command. A Redis command can generate its own custom data visualization. diff --git a/docs/ui/insight/plugins/plugin-development.md b/docs/ui/insight/plugins/plugin-development.md index c8f46b7e..596f6f39 100644 --- a/docs/ui/insight/plugins/plugin-development.md +++ b/docs/ui/insight/plugins/plugin-development.md @@ -22,7 +22,7 @@ Default plugins are located inside the application. ### Files -`package.json` should be located in the root folder of your plugins. All other files can be included in a subfolder. +`package.json` should be located in the root folder of your plugins. All other files can be included in a sub-folder. * **pluginName/package.json** *(required)*: Manifest of the plugin * **pluginName/{anyName}.js** *(required)*: Core script of the plugin diff --git a/docs/ui/insight/tools/browser.md b/docs/ui/insight/tools/browser.md index 960a73e2..68f5a147 100644 --- a/docs/ui/insight/tools/browser.md +++ b/docs/ui/insight/tools/browser.md @@ -6,14 +6,21 @@ weight: 10 --- -**Browser** offers [CRUD](https://en.wikipedia.org/wiki/Create,_read,_update_and_delete) support for lists, hashes, strings, sets, sorted sets, streams, and [RedisJSON](/docs/stack/json). +**Browser** allows you to visualize and interact with the data stored in your Redis and Redis Stack database. -* Browse, filter, and visualize your key-value Redis data structures. +With the **Browser** tool, you can: -* Group keys according to their namespaces. +* Explore Redis keys, their values, and metadata +* Perform create, read, update, and delete (CRUD) operations on strings, hashes, sets, sorted sets, lists, streams, and JSON. +* Navigate through and analyze your list of keys quicker by grouping keys per their namespaces using the Tree view, or use filters per key name or Redis data type to find the keys you need. - + -* View, validate, and manage your key values in a human-readable format using formatters that prettify and highlight data in different formats (for example, Unicode, JSON, MessagePack, HEX, and ASCII) in the Browser tool. +The Browser tool also helps you observe, validate, and manage your key values in a human-readable format using formatters that prettify and highlight data in different formats (for example, Unicode, JSON, MessagePack, HEX, ASCII, an so on), as well as automatically decompress your data to display it in a human-readable format, supporting GZIP, LZ4, SNAPPY, and other compressions. + + + +Leverage the [Search capabilities](/docs/ui/insight/tools/search) to see and work with found keys and their values, or use a dedicated form to create a secondary index. + +Delete keys in bulk from your Redis or Redis Stack database based on the filters set in Browser using [Bulk actions](/docs/ui/insight/tools/bulk-actions). - \ No newline at end of file diff --git a/docs/ui/insight/tools/cli.md b/docs/ui/insight/tools/cli.md index 8538d550..a9700f6d 100644 --- a/docs/ui/insight/tools/cli.md +++ b/docs/ui/insight/tools/cli.md @@ -6,10 +6,16 @@ weight: 10 --- -The CLI is accessible at any time within the application. It includes: +While RedisInsight provides a comprehensive graphical interface for managing Redis or Redis Stack, there are many advanced operations that you can perform only by using a command-line interface. For such cases, you can use RedisInsight CLI, which supplements the graphical interface and provides you a greater flexibility and control over your database when you run Redis commands. -* Type-ahead help. -* A command helper that lets you filter and search commands. +RedisInsight CLI is accessible at any time within your database, allowing you to run Redis commands while: + +* Investigating the list of keys in **Browser**. +* Receiving or publishing messages in pub/sub. +* Troubleshooting performance issues. +* Optimizing the performance and memory usage of your database based on recommendations displayed in [Database Analysis](/docs/ui/insight/tools/database-analysis). + +RedisInsight CLI includes a type-ahead help to assist with the syntax of Redis commands. Also, RedisInsight CLI is integrated with Command Helper which allows you to read about your Redis command used in CLI, or filter and search for any Redis command to learn more about its purpose and syntax. Try executing Redis commands as shown here. diff --git a/docs/ui/insight/tools/connection-management.md b/docs/ui/insight/tools/connection-management.md index 76a5489f..506bd6b9 100644 --- a/docs/ui/insight/tools/connection-management.md +++ b/docs/ui/insight/tools/connection-management.md @@ -7,8 +7,12 @@ weight: 10 --- -* Automatically discover and add your local Redis or Redis Stack databases (that use the standalone connection type and do not require authentication). -* Discover your databases in Redis Enterprise Software and databases with Flexible plans in Redis Cloud. -* Use a form to enter your connection details and add any Redis database running anywhere (including OSS Cluster and Sentinel). +Before viewing and interacting with your data, optimizing your Redis or Redis Stack database, or troubleshooting performance issues, you must first add the database so RedisInsight can connect to it. +While all your local Redis or Redis Stack databases with the standalone connection type and without any authentication will be automatically identified and added to your list of database connections when RedisInsight launches for the first time, there are many cases when you need to add database connections to work with them via RedisInsight. +To do so, you can use one of the available options: + +* Discover your databases in Redis Enterprise Cluster and databases with Flexible plans in Redis Cloud, as well as primary groups from Redis Sentinel +* Use a form to enter your connection details and add any Redis database running anywhere +* Connect to your database connections via SSH tunnels using a password or private key in the PEM format. \ No newline at end of file diff --git a/docs/ui/insight/tools/profiler.md b/docs/ui/insight/tools/profiler.md index ab4c10e8..2d9c8d24 100644 --- a/docs/ui/insight/tools/profiler.md +++ b/docs/ui/insight/tools/profiler.md @@ -6,6 +6,24 @@ weight: 10 --- -Analyze every command sent to Redis in real time. +Debug and monitor the performance and security of your Redis or Redis Stack instance using the **Profiler** tool. + +**Profiler** is a tool based on Redis `MONITOR` command that streams back every command processed by the Redis server in real-time. + +**Profiler** can help you to: + +* Debug issues with your database. +* Diagnose issues and identify problematic commands. +* Identify performance issues and bottlenecks. +* Detect suspicious activity such as unauthorized access attempts or unusual commands being sent to the Redis server. +* Spot bugs in an application both when using Redis or Redis Stack as a database and as a distributed caching system. + +{{% alert title="Note" color="warning" %}} + +Because `MONITOR` streams back all commands, its use comes at a cost of reducing the throughput of your database. Therefore, avoid running **Profiler** in production databases. + +{{% /alert %}} + +RedisInsight also allows you to download the file with all the logs streamed back to analyze them outside of the application. Before starting the **Profiler**, enable saving to save the logs to a `.txt` file. \ No newline at end of file diff --git a/docs/ui/insight/tools/search.md b/docs/ui/insight/tools/search.md index 2f5c159d..c2dd1481 100644 --- a/docs/ui/insight/tools/search.md +++ b/docs/ui/insight/tools/search.md @@ -1,11 +1,21 @@ --- title: "Search capabilities" linkTitle: Search -description: Learn how RedisInsight allows you to index and perform search queries +description: RedisInsight allows you to index and perform search queries weight: 10 aliases: --- -If you're using Redis Stack's indexing, querying, or full-text search capabilities, RedisInsight provides UI controls to run search queries against a preselected index. You can also create a secondary index of your data in a dedicated pane. +Search for keywords and phrases within your documents stored as Redis hashes or JSON with dedicated UI controls to run search queries against a pre-selected index. +If you use the search capability and would like to use a dedicated UI in RedisInsight: - \ No newline at end of file +1. In **Browser**, open **Search by Values of Keys**. +1. Select your index. +1. Insert the search query. +1. Run the query. + +RedisInsight displays the list of keys found in the List or Tree view. + + + +RedisInsight also provides UI controls to create a new secondary index of your data. To create such an index, specify basic index information. \ No newline at end of file diff --git a/docs/ui/insight/tools/slow-log.md b/docs/ui/insight/tools/slow-log.md index ef05affd..fe63a817 100644 --- a/docs/ui/insight/tools/slow-log.md +++ b/docs/ui/insight/tools/slow-log.md @@ -6,6 +6,22 @@ weight: 10 --- -The Slow Log tool displays the list of logs captured by the `SLOWLOG` command, which allows you to analyze all commands that exceed a specified runtime and helps you troubleshoot performance issues. Specify both the runtime and the maximum length of Slowlog (which are server configurations) to configure the list of commands logged and set the auto-refresh interval to automatically update the list of commands displayed. +Use **Slow Log** to: + +* Monitor and improve the performance of your Redis and Redis Stack databases. +* Identify Redis commands that are running slowly and that can negatively impact the performance of your database. +* Identify other issues such as increased latency or reduced throughput. + +To get started: + +1. Select **Analysis Tools > Slow Log**. + +1. In **Configure**, specify both the runtime and the maximum length of `SLOWLOG` to configure the list of commands logged. + +1. Under **Last refresh** dropdown, set the auto-refresh interval to `Auto Refresh` to automatically update the list of commands displayed. + +Using `SLOWLOG`, RedisInsight captures the list of slow commands. + +Investigate slow commands so you can optimize your Redis or Redis Stack database and ensure faster response times and improved application performance. diff --git a/docs/ui/insight/tools/workbench.md b/docs/ui/insight/tools/workbench.md index b949f9e2..343ba19c 100644 --- a/docs/ui/insight/tools/workbench.md +++ b/docs/ui/insight/tools/workbench.md @@ -6,16 +6,14 @@ weight: 10 --- -Workbench is a command-line interface with intelligent command auto-complete and complex data visualizations that lets you run commands against your Redis server. -Find Workbench on the left sidebar. It provides: +**Workbench** is an advanced command-line interface that lets you run commands against your Redis or Redis Stack database. It: -* Built-in tutorials that help you discover Redis and Redis Stack capabilities using the built-in guides. -* Command auto-complete support for all capabilities in Redis and Redis Stack. -* Visualizations of your [RediSearch](https://oss.redis.com/redisearch/) index, queries, and aggregations. -* Visualizations of your [RedisGraph](https://oss.redis.com/redisgraph/). - - +* Supports auto-complete and syntax highlighting for Redis commands. +* Provides data visualizations for many Redis and Redis Stack capabilities, such as search capability, graph and time series, and `CLIENT LIST` command. + +* Allows you to extend the core functionality by building your own data visualizations. For more information, see [Plugins](/docs/ui/insight/plugins). -* Visualizations of your [RedisTimeSeries](https://oss.redis.com/redistimeseries/) data. +Use built-in interactive guides and tutorials to discover and learn Redis and Redis Stack features and capabilities. - +Share your Redis expertise with your team and the wider community by building custom RedisInsight tutorials. Use our [instructions](https://github.com/RedisInsight/Tutorials) to describe your implementations of Redis for other users to follow and interact with in the context of a connected Redis database. +Let the community discover your content by labeling your GitHub repository [redis-tutorials](https://github.com/topics/redis-tutorials). From 366fcfde238b93607f3c6fc08689fe729168f658 Mon Sep 17 00:00:00 2001 From: Nermina Miller Date: Fri, 21 Apr 2023 03:47:36 -0400 Subject: [PATCH 37/37] Updates dictionary --- dictionary.txt | 5 +++++ docs/ui/insight/tools/browser.md | 2 +- docs/ui/insight/tools/connection-management.md | 4 ++-- docs/ui/insight/tools/search.md | 2 +- 4 files changed, 9 insertions(+), 4 deletions(-) diff --git a/dictionary.txt b/dictionary.txt index 2c06389d..ce344ef3 100644 --- a/dictionary.txt +++ b/dictionary.txt @@ -40,6 +40,7 @@ EntityStream ETL FTS geo-distributed +compressions consumer1 consumer2 consumer3 @@ -53,6 +54,7 @@ DevOps DOM Dotenv Downey +dropdown dually EntityStream formatters @@ -64,6 +66,7 @@ geo-replicated Geospatial Github Gzip +GZIP Hemsworth Homebrew html @@ -106,6 +109,7 @@ npm on-prem ORM OSS +PEM PeopleController PeopleControllerV1 PeopleRepository @@ -126,6 +130,7 @@ RedisAI RedisGears redisinsight REDiss +redis-tutorials RHEL7 RHEL8 RSAL diff --git a/docs/ui/insight/tools/browser.md b/docs/ui/insight/tools/browser.md index 68f5a147..95aadd72 100644 --- a/docs/ui/insight/tools/browser.md +++ b/docs/ui/insight/tools/browser.md @@ -16,7 +16,7 @@ With the **Browser** tool, you can: -The Browser tool also helps you observe, validate, and manage your key values in a human-readable format using formatters that prettify and highlight data in different formats (for example, Unicode, JSON, MessagePack, HEX, ASCII, an so on), as well as automatically decompress your data to display it in a human-readable format, supporting GZIP, LZ4, SNAPPY, and other compressions. +The Browser tool also helps you observe, validate, and manage your key values in a human-readable format using formatters that prettify and highlight data in different formats (for example, Unicode, JSON, MessagePack, HEX, ASCII, and so on), as well as automatically decompress your data to display it in a human-readable format, supporting GZIP, LZ4, SNAPPY, and other compressions. diff --git a/docs/ui/insight/tools/connection-management.md b/docs/ui/insight/tools/connection-management.md index 506bd6b9..2efce2e4 100644 --- a/docs/ui/insight/tools/connection-management.md +++ b/docs/ui/insight/tools/connection-management.md @@ -11,8 +11,8 @@ Before viewing and interacting with your data, optimizing your Redis or Redis St While all your local Redis or Redis Stack databases with the standalone connection type and without any authentication will be automatically identified and added to your list of database connections when RedisInsight launches for the first time, there are many cases when you need to add database connections to work with them via RedisInsight. To do so, you can use one of the available options: -* Discover your databases in Redis Enterprise Cluster and databases with Flexible plans in Redis Cloud, as well as primary groups from Redis Sentinel -* Use a form to enter your connection details and add any Redis database running anywhere +* Discover your databases in Redis Enterprise Cluster and databases with Flexible plans in Redis Cloud, as well as primary groups from Redis Sentinel. +* Use a form to enter your connection details and add any Redis database running anywhere. * Connect to your database connections via SSH tunnels using a password or private key in the PEM format. \ No newline at end of file diff --git a/docs/ui/insight/tools/search.md b/docs/ui/insight/tools/search.md index c2dd1481..75941fa0 100644 --- a/docs/ui/insight/tools/search.md +++ b/docs/ui/insight/tools/search.md @@ -6,7 +6,7 @@ weight: 10 aliases: --- -Search for keywords and phrases within your documents stored as Redis hashes or JSON with dedicated UI controls to run search queries against a pre-selected index. +Search for keywords and phrases within your documents stored as Redis hashes or JSON with dedicated UI controls to run search queries against a preselected index. If you use the search capability and would like to use a dedicated UI in RedisInsight: 1. In **Browser**, open **Search by Values of Keys**.

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