From 9dc697bb759dc327bd9a1374da10f5e5d4429209 Mon Sep 17 00:00:00 2001 From: bwplotka Date: Tue, 26 Nov 2024 21:30:49 +0000 Subject: [PATCH 1/4] Propose WAL format versioning and change strategy. 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", + "created": 1723672912084, + "lastRetrieved": 1732646743850 + } + } +} \ No newline at end of file diff --git a/proposals/2024-11-25_changing_wal_format.md b/proposals/2024-11-25_changing_wal_format.md new file mode 100644 index 0000000..d6950e7 --- /dev/null +++ b/proposals/2024-11-25_changing_wal_format.md @@ -0,0 +1,257 @@ +## Recommendations for WAL Format Changes + +* **Owners:** + * [@bwplotka](https://github.com/bwplotka) + +* **Contributors:** + * [@krajorama](https://github.com/krajorama) + * [@bboreham](https://github.com/bboreham) + +* **Implementation Status:** Not implemented + +* **Related Issues and PRs:** + * https://github.com/prometheus/prometheus/issues/15200 + * https://github.com/prometheus/prometheus/issues/14730 + * [WAL changes for NHCB](https://docs.google.com/document/d/1oYmvK7rrRFNrkM4Hrze8OsaK4z0GGj4pXl6VT6S_ef0/edit?tab=t.0#heading=h.545ogb8wlxze) + +* **Other docs or links:** + * [`#prometheus-wal-dev`](https://cloud-native.slack.com/archives/C082ALTBY4S) + * https://github.com/prometheus/prometheus/blob/main/tsdb/docs/format/wal.md + * [Ganesh's blog](https://ganeshvernekar.com/blog/prometheus-tsdb-the-head-block/) + +> TL;DR: We need to break forward compatibility of the WAL format. This proposal explores various data migration strategies for WAL and ways we can be more transparent about those in each Prometheus release. + +## Glossary + +For this document, I use the following compatibility wording, related to Prometheus compatibility towards the WAL format. + +* **Backward Compatibility**: When new Prometheus can read old WAL format. +* **Forward Compatibility**: When old Prometheus can read the new WAL format, it is required for potential reverts. + +In this document "compatibility" means not only a no crash, but 100% lossless e.g. reads between Prometheus and WAL versions. + +## Why + +Recently we discussed various improvements to Prometheus Write-Ahead-Log (WAL, also used in WBL) to: + +* Support new features (created timestamp (CT), native histograms with custom buckets (nhcb)). +* Efficiency improvements and tech debt cleanup (parallelization/sharding, combining records, different decoding formats). + +The current (https://github.com/prometheus/prometheus/blob/975d5d7357a220192fe1307b10ded9b35130ab1c/tsdb/docs/format/wal.md) WAL data is a handwritten variadic-encoding binary format. It's generally not versioned, and it does not support unknown fields or data except 3 specific places: + +* [record type](https://github.com/prometheus/prometheus/blob/e410a215fbe89b67f0e8edef9de25ede503ea4e0/tsdb/record/record.go#L38) +* [metric type in metadata record](https://github.com/prometheus/prometheus/blob/e410a215fbe89b67f0e8edef9de25ede503ea4e0/tsdb/record/record.go#L111) +* [metadata fields are arbitrary labels in metadata record](https://github.com/prometheus/prometheus/blob/e410a215fbe89b67f0e8edef9de25ede503ea4e0/tsdb/record/record.go#L608). + +Historically we didn't hit major problems because we were only adding new semantic data (e.g. exemplars, metadata, new native histograms) as new records. At this point, however, we need to add features to existing data (e.g. custom buckets that will replace classic histograms, or created timestamps to samples). Even if we create a new record for those and use it for new samples, any rollback will **lose that information as they appear unknown in the old version**. + +For TSDB changes (see the [context](#context--tsdb-format-changes)), we use ["2-fold" migration strategy](#two-fold-migration-strategy). However, WAL data is typically significantly smaller, around ~30m worth of samples (time to gather 120 samples for a chunk, for 15s intervals), plus 2h series records in WAL. + +### Pitfalls of the current solution + +* We don't have an officially documented migration strategy for WAL and TSDB in general (only tribal knowledge). +* Users don't know if version X of Prometheus works with version X-2 (except on some minor release that makes the change). +* No e2e testing for migration strategies, no consistent documentation when this happens on releases. + +As a result: + +* Reduced contribution and development velocity, prolonging bugs, important features and efficiency efforts. +* Increased operational cost and reduced trust for users who run highly durable Prometheus setups. + +### Context: TSDB format changes + +TSDB format, including chunk format (also used in the head with mmapped chunks), is also a handwritten variadic-encoding binary format. Compared to WAL it's generally versioned e.g. + +* [Chunk disk file format](https://github.com/prometheus/prometheus/blob/12c39d5421cc29a4bfc13fc57fd9ccd3dbc310f0/tsdb/docs/format/chunks.md#L14). +* [Head chunk disk format](https://github.com/prometheus/prometheus/blob/fd62dbc2918deea0ceae94758baf7a095b52dd5b/tsdb/docs/format/head_chunks.md#L13). +* [Index file](https://github.com/prometheus/prometheus/blob/d699dc3c7706944aafa56682ede765398f925ef0/tsdb/docs/format/index.md#L8). +* [Block meta file](https://github.com/prometheus/prometheus/blob/5e124cf4f2b9467e4ae1c679840005e727efd599/tsdb/block.go#L171). +* Chunks have its own ["encoding type"](https://github.com/prometheus/prometheus/blob/a693dd19f244f000da40bcbac85041846b78cfc1/tsdb/chunkenc/chunk.go#L29) that could be used for versioning. + +No docs or formal strategy was developed, but Prometheus generally follow the ["2-fold" migration strategy explained below](#two-fold-migration-strategy). + +## Goals + +* Agree on the official recommendations for **lossless WAL migrations** strategies for devs and users. +* Balancing development velocity with user data stability risks. + +## Non-Goals + +* TSDB format can but does not need to follow the same recommendations. We want to change the WAL format now, so prioritizing WAL. +* Mentioning Write-Before-Log, it uses WAL format so all apply to WBL too. +* To reduce scope we don't mention [memory snapshot format](https://github.com/prometheus/prometheus/blob/fd5ea4e0b590d57df1e2ef41d027f2a4f640a46c/tsdb/docs/format/memory_snapshot.md#L1) for now. + +## How + +We recommend the [Two-Fold Migration Strategy](#two-fold-migration-strategy) with two details: + +* A new flag that tells Prometheus what WAL version to write. +* There can be multiple "forward compatible" version, but the official minimum is one (see, the rejected [LTS idea](#require-lts-support)) + +We propose to add a string `--storage.tsdb.stateful.write-wal-version` flag, with the default to `v1` that has a "stateful" consequence -- once new version is used, users will be able to revert only to certain Prometheus versions. Help of this flag will explain clearly what's possible and what Prometheus version you will be able to revert to. + +In other words, we propose to add a TSDB flag `--storage.tsdb.stateful.write-wal-version=(v1 or v2)` that tells Prometheus to use a particular WAL format for both WAL and WBL. This kind of flag will change its default to a new version ONLY when (at least) one previous Prometheus version can read that version (while writing the old one). + +There are two reasons for this flag: + +* Allows users to get the new features sooner and skip the safety mechanism. +* It simplifies the process as the flag default mechanism guides users and devs in the rollout and revert procedures e.g: + * when we switch to writing v2, it's clearly visible in a flag default value. + * when we at some point remove support of WAL v1, it's clear when it happens (v1 flag value is removed). +* It allows users to set new version to write old format if needed (de-risking further). +* Gives devs quicker feedback, makes testing easier, and motivates further contributions. + +We propose to document that behaviour in: + +* dedicated guide for users +* flag help +* tsdb/docs for devs + +To achieve WAL versioning we also propose to start versioning the WAL, as [a whole format](https://github.com/prometheus/prometheus/blob/main/tsdb/docs/format/wal.md). This is necessary to communicate a breaking change and to tell Prometheus what WAL format to write in. + +We propose the addition of a `meta.json` file in the wal directory, similar to [block meta.json](https://github.com/prometheus/prometheus/blob/5e124cf4f2b9467e4ae1c679840005e727efd599/tsdb/block.go#L171), with Version field set to `1` for the current format and `2` for new changes e.g. when we start to write [new records](https://github.com/prometheus/prometheus/pull/15467/files). No `meta.json` is equivalent to `{"version":1} `meta.json` file. + +We propose to also store the new WALs in separate directories e.g. `wal.v2`. Thanks to that the rewrite from one version to another is eventual and can be done segment by segment. +The additional advantage of this way of versioning is that it's clear when your WAL fully migrated to a certain version. + +Finally, we propose that all Prometheus releases will contain the following table: + +| Data | Supported | Writes | +|-------------|-----------|--------| +| WAL | v1, v2 | v1 | +| Block index | v2 | v2 | + +``` +The last revertable Prometheus version: v3.0 +``` + +See [alternatives](#alternatives) for other ideas. + +### Two-Fold Migration Strategy + +Given the following example: + +![twofold.png](../assets/2024-11-25_changing_wal_format/twofold.png) + +1. We release Prometheus X+1 version that supports both Y and Y+1 data but still writes Y. +2. We release Prometheus X+2 version that supports both Y and Y+1 data, but now it writes new data as Y. + +While this example shows only one version where of forward compatibility (when Y and Y+1 are supported, but Y is still written), in practice there could be more "forward compatible releases" within this strategy. + +Pros: +* Users have a durable rollout path back and forth. +* Dev has clarity on how to develop "breaking revert" changes. +* In theory, it allows revert to X from X+2, by going through X+1 and ensuring all data was migrated (eventually) to Y version. In practice however that eventuality is long, or hard to discover. + +Cons: +* It can catch users by surprise + * **Mitigation**: We also plan guide and documentation. +* It takes time to rollout new changes if you want them fast. + * **Mitigation**: We plan to add a flag to opt-in sooner +* It is a breaking change which shouldn't be made in a major release. +* **Mitigation**: We accept that fact, given precedence and no other way to support both formats in the same time without major performance penalties. + +## Alternatives + +### Require LTS support + +We could add a variation to the [Two-Fold Migration Strategy](#two-fold-migration-strategy) (let's call it a "LTS migration strategy") where both X+1 and the last LTS (long time support version) before X+1, is able to read Y+1 version. Only then we are allowed to release X+2 that switches the default. + +For example: + +1. LTS 3.1 only supports WAL v1. +2. 3.3 adds WAL v2. +3. we wait unit next LTS so e.g. 3.24. +4. 3.25 can now switch to WAL v2. +5. 4.0 can remove WAL v1 support. + +Pros: +* Gives a bit more stability to users and less surprises. + +Cons: +* Extremely heavy process that will make us afraid/refuse to make improvements to WAL, because it's too much work. It might fails our goal of `Balancing development velocity with user data stability risks` + * One mitigation would be an LTS retroactive strategy e.g. LTS 3.1 only supports WALv1, 3.3 adds WALv2, we do 3.1.1 with WALv2 too, 3.4 can now switch to WALv2, 4.0 can remove WALv1 support. It gives us more flexibility, but it's not very realistic to do patch release of LTS with risky feature like a new WAL. +* We literally have no formal process for LTS versions and we don't do them regularly. + +### Add a CLI tool that rewrites WAL to a specific version + +We could add a `promtool` command that rewrites WAL segments to a given version. + +Users can then migrate their WAL with a single command either as an init process before reverting or manually on a disk. + +This should take ~minutes even for larger WAL files. + +Pros: +* Less need for a two-fold strategy? + +Cons: +* We need to write migration code and ensure it's efficient enough for bigger data +* A bit painful to use on scale and remotely (e.g. on Kubernetes) + +### Rewrite WAL before/during replay + +Instead of supporting multiple directories for WAL for various versions, we could rewrite WAL on the start. + +Pros: +* Simpler implementation + +Cons: +* We already suffer from replay problems, so I propose an eventual rewrite. +* Rewrite is more risking than read-only WAL (of previous version) + +### Don't version WAL, don't introduce a flag + +Cons: +* Takes more time for features to be available to users +* Demotivating for format changes (long feedback loop) +* Harder to communicate what exactly changed in each Prometheus version or even implement backward compatibility? + +### Record-based or segment based WAL versioning + +Given we usually change WAL by changing its records, the WAL version could be simply [max number of types](https://github.com/prometheus/prometheus/blob/5e124cf4f2b9467e4ae1c679840005e727efd599/tsdb/record/record.go#L54) we write to WAL. +Alternatively, it could be per segment e.g. introduce a special version record type that is only in the front of the segment file. + +Pros: +* Simpler to implement now. +* This would allow mixing Y and Y+1 segments/records in the same WAL, we would not need a new directory. + +Cons: +* Won't work for bigger changes e.g. + * changes that merge records + * sharding? + +### Maintain two WALs (well four, with WBL) + +Duplicating records would be too expensive for already painful latency and CPU/mem usage for e.g. replay. + +However, we could write an entirely new WAL with only a disk latency and space penalty. + +Cons: +* Disk space increased +* Inconsistent with the TSDB format strategy. +* Complex to implement. + +### Use feature flag instead + +Instead of `--storage.tsdb.stateful.write-wal-version` we could add a feature flag like logic. + +We could add a flag that is similar to the current feature flags `--enable-feature`, but it has a "stateful" consequence -- once used, users will be able to revert only to certain Prometheus versions. For example a new `--enable-stateful-feature` flag to signal that behaviour. + +Pros: +* No new flags for other storage pieces + +Cons: +* No clear logic for defaulting here +* No clear ability to force Prometheus to write to wal v1 here unless we add a "feature flag value" for v1, which is odd. + +## Action Plan + +The tasks to do in order to migrate to the new idea. + +* [ ] Introduce multi-directory WAL reading and v1 and v2 file, plus flag. +* [ ] Document WAL proposed recommendation for devs and users. +* [ ] Each release of Prometheus should mention either each version of the data format or what Prometheus version you can roll back it to. + +## Resources + +* https://stackoverflow.com/questions/13933275/use-wal-files-for-postgresql-record-version-control From 038e9a433d1e3b4498a65564dc570478082e5278 Mon Sep 17 00:00:00 2001 From: Bartlomiej Plotka Date: Mon, 2 Dec 2024 10:31:50 +0000 Subject: [PATCH 2/4] Update proposals/2024-11-25_changing_wal_format.md Co-authored-by: George Krajcsovits Signed-off-by: Bartlomiej Plotka --- proposals/2024-11-25_changing_wal_format.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/proposals/2024-11-25_changing_wal_format.md b/proposals/2024-11-25_changing_wal_format.md index d6950e7..a51674c 100644 --- a/proposals/2024-11-25_changing_wal_format.md +++ b/proposals/2024-11-25_changing_wal_format.md @@ -90,7 +90,7 @@ We recommend the [Two-Fold Migration Strategy](#two-fold-migration-strategy) wit We propose to add a string `--storage.tsdb.stateful.write-wal-version` flag, with the default to `v1` that has a "stateful" consequence -- once new version is used, users will be able to revert only to certain Prometheus versions. Help of this flag will explain clearly what's possible and what Prometheus version you will be able to revert to. -In other words, we propose to add a TSDB flag `--storage.tsdb.stateful.write-wal-version=(v1 or v2)` that tells Prometheus to use a particular WAL format for both WAL and WBL. This kind of flag will change its default to a new version ONLY when (at least) one previous Prometheus version can read that version (while writing the old one). +In other words, we propose to add a TSDB flag `--storage.tsdb.stateful.write-wal-version=` that tells Prometheus to use a particular WAL format for both WAL and WBL. This kind of flag will change its default to a new version ONLY when (at least) one previous Prometheus version can read that version (while writing the old one). The initial version would be `v1`. There are two reasons for this flag: From ca31f30aa399954316d14449f552f161af713ddf Mon Sep 17 00:00:00 2001 From: bwplotka Date: Mon, 2 Dec 2024 10:44:16 +0000 Subject: [PATCH 3/4] Added a con for a flag; clarified deprecation policy. Signed-off-by: bwplotka --- proposals/2024-11-25_changing_wal_format.md | 15 +++++++++------ 1 file changed, 9 insertions(+), 6 deletions(-) diff --git a/proposals/2024-11-25_changing_wal_format.md b/proposals/2024-11-25_changing_wal_format.md index a51674c..b399547 100644 --- a/proposals/2024-11-25_changing_wal_format.md +++ b/proposals/2024-11-25_changing_wal_format.md @@ -111,8 +111,7 @@ To achieve WAL versioning we also propose to start versioning the WAL, as [a who We propose the addition of a `meta.json` file in the wal directory, similar to [block meta.json](https://github.com/prometheus/prometheus/blob/5e124cf4f2b9467e4ae1c679840005e727efd599/tsdb/block.go#L171), with Version field set to `1` for the current format and `2` for new changes e.g. when we start to write [new records](https://github.com/prometheus/prometheus/pull/15467/files). No `meta.json` is equivalent to `{"version":1} `meta.json` file. -We propose to also store the new WALs in separate directories e.g. `wal.v2`. Thanks to that the rewrite from one version to another is eventual and can be done segment by segment. -The additional advantage of this way of versioning is that it's clear when your WAL fully migrated to a certain version. +We propose to also store the new WALs in separate directories e.g. `wal.v2`. Thanks to that the rewrite from one version to another is **eventual** and can be done segment by segment without any forcible rewrite. The WAL will be rewritten within the next 2h of a normal operation. The additional advantage of this way of versioning is that it's clear when your WAL fully migrated to a certain version. Finally, we propose that all Prometheus releases will contain the following table: @@ -138,18 +137,17 @@ Given the following example: While this example shows only one version where of forward compatibility (when Y and Y+1 are supported, but Y is still written), in practice there could be more "forward compatible releases" within this strategy. +Technically we have to keep old format read (and write) support until the next major release. Pros: * Users have a durable rollout path back and forth. * Dev has clarity on how to develop "breaking revert" changes. * In theory, it allows revert to X from X+2, by going through X+1 and ensuring all data was migrated (eventually) to Y version. In practice however that eventuality is long, or hard to discover. Cons: -* It can catch users by surprise +* It can catch users by surprise. * **Mitigation**: We also plan guide and documentation. * It takes time to rollout new changes if you want them fast. - * **Mitigation**: We plan to add a flag to opt-in sooner -* It is a breaking change which shouldn't be made in a major release. -* **Mitigation**: We accept that fact, given precedence and no other way to support both formats in the same time without major performance penalties. + * **Mitigation**: We plan to add a flag to opt-in sooner. ## Alternatives @@ -201,6 +199,9 @@ Cons: ### Don't version WAL, don't introduce a flag +Pro: +* One issue with a flag is that we lose "automatic" rollout for some users e.g. what if we will have another v3 WAL version, but users sets an explicit `--storage.tsdb.stateful.write-wal-version=v3` option? For those users they will need to make a manual choice and there might be not aware of benefits of a new WAL or do any work to test new WAL for their setup. With raw two-fold strategy format is forced, but also transparent (if without issues). + Cons: * Takes more time for features to be available to users * Demotivating for format changes (long feedback loop) @@ -244,6 +245,8 @@ Cons: * No clear logic for defaulting here * No clear ability to force Prometheus to write to wal v1 here unless we add a "feature flag value" for v1, which is odd. + + ## Action Plan The tasks to do in order to migrate to the new idea. From c66ddd416dc3483bcc757ebe6acb3167fecc4c4a Mon Sep 17 00:00:00 2001 From: bwplotka Date: Wed, 4 Dec 2024 12:16:30 +0000 Subject: [PATCH 4/4] Addressed initial comments. Signed-off-by: bwplotka --- 0000-00-00_template.md | 4 +++- proposals/2024-11-25_changing_wal_format.md | 26 ++++++++++----------- 2 files changed, 15 insertions(+), 15 deletions(-) diff --git a/0000-00-00_template.md b/0000-00-00_template.md index 7996364..a216cf3 100644 --- a/0000-00-00_template.md +++ b/0000-00-00_template.md @@ -63,7 +63,9 @@ Explain the full overview of the proposed solution. Some guidelines: The section stating potential alternatives. Highlight the objections reader should have towards your proposal as they read it. Tell them why you still think you should take this path [[ref](https://twitter.com/whereistanya/status/1353853753439490049)] -1. This is why not solution Z... +### Alternative: + +### Alternative: ## Action Plan diff --git a/proposals/2024-11-25_changing_wal_format.md b/proposals/2024-11-25_changing_wal_format.md index b399547..21e9fd5 100644 --- a/proposals/2024-11-25_changing_wal_format.md +++ b/proposals/2024-11-25_changing_wal_format.md @@ -86,7 +86,7 @@ No docs or formal strategy was developed, but Prometheus generally follow the [" We recommend the [Two-Fold Migration Strategy](#two-fold-migration-strategy) with two details: * A new flag that tells Prometheus what WAL version to write. -* There can be multiple "forward compatible" version, but the official minimum is one (see, the rejected [LTS idea](#require-lts-support)) +* There can be multiple "forward compatible" version, but the official minimum is one (see, the [LTS idea](#require-lts-support)) We propose to add a string `--storage.tsdb.stateful.write-wal-version` flag, with the default to `v1` that has a "stateful" consequence -- once new version is used, users will be able to revert only to certain Prometheus versions. Help of this flag will explain clearly what's possible and what Prometheus version you will be able to revert to. @@ -133,7 +133,7 @@ Given the following example: ![twofold.png](../assets/2024-11-25_changing_wal_format/twofold.png) 1. We release Prometheus X+1 version that supports both Y and Y+1 data but still writes Y. -2. We release Prometheus X+2 version that supports both Y and Y+1 data, but now it writes new data as Y. +2. We release Prometheus X+2 version that supports both Y and Y+1 data, but now it writes new data as Y+1. While this example shows only one version where of forward compatibility (when Y and Y+1 are supported, but Y is still written), in practice there could be more "forward compatible releases" within this strategy. @@ -151,7 +151,7 @@ Cons: ## Alternatives -### Require LTS support +### Extension: Require LTS support We could add a variation to the [Two-Fold Migration Strategy](#two-fold-migration-strategy) (let's call it a "LTS migration strategy") where both X+1 and the last LTS (long time support version) before X+1, is able to read Y+1 version. Only then we are allowed to release X+2 that switches the default. @@ -167,11 +167,11 @@ Pros: * Gives a bit more stability to users and less surprises. Cons: -* Extremely heavy process that will make us afraid/refuse to make improvements to WAL, because it's too much work. It might fails our goal of `Balancing development velocity with user data stability risks` +* Extremely heavy process that will make us afraid/refuse to make improvements to WAL, because it's too much work. It might fail our goal of `Balancing development velocity with user data stability risks` * One mitigation would be an LTS retroactive strategy e.g. LTS 3.1 only supports WALv1, 3.3 adds WALv2, we do 3.1.1 with WALv2 too, 3.4 can now switch to WALv2, 4.0 can remove WALv1 support. It gives us more flexibility, but it's not very realistic to do patch release of LTS with risky feature like a new WAL. -* We literally have no formal process for LTS versions and we don't do them regularly. +* We have no formal process for LTS versions, but we do this [typically yearly](https://prometheus.io/docs/introduction/release-cycle/). -### Add a CLI tool that rewrites WAL to a specific version +### Alternative: Add a CLI tool that rewrites WAL to a specific version We could add a `promtool` command that rewrites WAL segments to a given version. @@ -186,7 +186,7 @@ Cons: * We need to write migration code and ensure it's efficient enough for bigger data * A bit painful to use on scale and remotely (e.g. on Kubernetes) -### Rewrite WAL before/during replay +### Alternative: Rewrite WAL before/during replay Instead of supporting multiple directories for WAL for various versions, we could rewrite WAL on the start. @@ -197,7 +197,7 @@ Cons: * We already suffer from replay problems, so I propose an eventual rewrite. * Rewrite is more risking than read-only WAL (of previous version) -### Don't version WAL, don't introduce a flag +### Alternative: Don't version WAL, don't introduce a flag Pro: * One issue with a flag is that we lose "automatic" rollout for some users e.g. what if we will have another v3 WAL version, but users sets an explicit `--storage.tsdb.stateful.write-wal-version=v3` option? For those users they will need to make a manual choice and there might be not aware of benefits of a new WAL or do any work to test new WAL for their setup. With raw two-fold strategy format is forced, but also transparent (if without issues). @@ -207,7 +207,7 @@ Cons: * Demotivating for format changes (long feedback loop) * Harder to communicate what exactly changed in each Prometheus version or even implement backward compatibility? -### Record-based or segment based WAL versioning +### Alternative: Record-based or segment based WAL versioning Given we usually change WAL by changing its records, the WAL version could be simply [max number of types](https://github.com/prometheus/prometheus/blob/5e124cf4f2b9467e4ae1c679840005e727efd599/tsdb/record/record.go#L54) we write to WAL. Alternatively, it could be per segment e.g. introduce a special version record type that is only in the front of the segment file. @@ -221,18 +221,17 @@ Cons: * changes that merge records * sharding? -### Maintain two WALs (well four, with WBL) +### Alternative: Maintain two WALs (well four, with WBL) Duplicating records would be too expensive for already painful latency and CPU/mem usage for e.g. replay. - -However, we could write an entirely new WAL with only a disk latency and space penalty. +However, we could write an entirely new WAL with only a disk latency and space penalty, on top of writing old one, for compatibility. Cons: * Disk space increased * Inconsistent with the TSDB format strategy. * Complex to implement. -### Use feature flag instead +### Alternative: Use feature flag instead Instead of `--storage.tsdb.stateful.write-wal-version` we could add a feature flag like logic. @@ -246,7 +245,6 @@ Cons: * No clear ability to force Prometheus to write to wal v1 here unless we add a "feature flag value" for v1, which is odd. - ## Action Plan The tasks to do in order to migrate to the new idea.