From f3910d6d8e809e0cdf70e52839f8a3dbf51ca1e3 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" <41898282+github-actions[bot]@users.noreply.github.com> Date: Sat, 9 Dec 2023 20:10:37 +0100 Subject: [PATCH] chore(extensions-docs): update extensions doc assets to recent development state (#147) Co-authored-by: dominikriemer --- ....processors.transformation.jvm.datetime.md | 78 ++++++++++++++++++ ...streampipes.sinks.internal.jvm.datalake.md | 22 ++++- website-v2/sidebars.json | 1 + .../icon.png | Bin 0 -> 259252 bytes 4 files changed, 98 insertions(+), 3 deletions(-) create mode 100644 docs/pe/org.apache.streampipes.processors.transformation.jvm.datetime.md create mode 100644 website-v2/static/img/pipeline-elements/org.apache.streampipes.processors.transformation.jvm.datetime/icon.png diff --git a/docs/pe/org.apache.streampipes.processors.transformation.jvm.datetime.md b/docs/pe/org.apache.streampipes.processors.transformation.jvm.datetime.md new file mode 100644 index 000000000..4b237cd43 --- /dev/null +++ b/docs/pe/org.apache.streampipes.processors.transformation.jvm.datetime.md @@ -0,0 +1,78 @@ +--- +id: org.apache.streampipes.processors.transformation.jvm.datetime +title: Datetime From String +sidebar_label: Datetime From String +--- + + + + + +

+ +

+ +*** + +## Overview + +The "Datetime From String" processor is a handy tool that helps convert human-readable datetime information into a +format that machines can understand. This is particularly useful when dealing with data that includes dates and times. + +### Why Use This Processor? + +In the context of event streams, you may encounter dates and times formatted for human readability but not necessarily +optimized for computer processing. The "Datetime From String" processor addresses this by facilitating the conversion +of human-readable datetime information within your continuous stream of events. + +*** + +## How It Works + +When you input a data stream into this processor containing a datetime in a specific format (such as "2023-11-24 15:30: +00"), it +undergoes a transformation. The processor converts it into a computer-friendly format called a ZonedDateTime object. + +### Example + +Let's say you have an event stream with a property containing values like "2023-11-24 15:30:00" and you want to make +sure your computer understands it. You can use +this processor to convert it into a format that's machine-friendly. + +*** + +## Getting Started + +To use this processor, you need one thing in your data: + +1. **Datetime String**: This is the name of the event property that contains the human-readable datetime string, like "2023-11-24 15:30:00". + + +### Configuration + +The only thing you need to configure is the time zone. +1. **Time Zone**: Specify the time zone that applies to your datetime if it doesn't already have this information.This ensures that the processor understands the context of your +datetime. + +## Output + +After the conversion happens, the processor adds a new piece of information to your data stream: + +* **timestringInMillis**: This is the transformed datetime in a format that computers can easily work with (UNIX timestamp in milliseconds). +* **timeZone**: The name of the timezone the `dateTime` value refers to. Can be used to reconstitute the actual time. \ No newline at end of file diff --git a/docs/pe/org.apache.streampipes.sinks.internal.jvm.datalake.md b/docs/pe/org.apache.streampipes.sinks.internal.jvm.datalake.md index 527c9911f..44a091864 100644 --- a/docs/pe/org.apache.streampipes.sinks.internal.jvm.datalake.md +++ b/docs/pe/org.apache.streampipes.sinks.internal.jvm.datalake.md @@ -33,7 +33,8 @@ sidebar_label: Data Lake ## Description Stores events in the internal data lake so that data can be visualized in the live dashboard or in the data explorer. -Simply create a pipeline with a data lake sink, switch to one of the data exploration tool and start exploring your data! +Simply create a pipeline with a data lake sink, switch to one of the data exploration tool and start exploring your +data! *** @@ -46,7 +47,22 @@ This sink requires an event that provides a timestamp value (a field that is mar ## Configuration -### Index +### Identifier -The name of the storage group of this event. +The name of the measurement (table) where the events are stored. +### Schema Update Options + +The Schema Update Options dictate the behavior when encountering a measurement (table) with the same identifier. + +#### Option 1: Update Schema + +- **Description:** Overrides the existing schema. +- **Effect on Data:** The data remains in the data lake, but accessing old data is restricted to file export. +- **Impact on Features:** Other StreamPipes features, such as the Data Explorer, will only display the new event schema. + +#### Option 2: Extend Existing Schema + +- **Description:** Keeps old event fields in the event schema. +- **Strategy:** This follows an append-only strategy, allowing continued work with historic data. +- **Consideration:** Old properties may exist for which no new data is generated. diff --git a/website-v2/sidebars.json b/website-v2/sidebars.json index 1c76db02c..27610b8e0 100644 --- a/website-v2/sidebars.json +++ b/website-v2/sidebars.json @@ -70,6 +70,7 @@ 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