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Pageserver disaster recovery RFC (#5248)
Enable the pageserver to recover from data corruption events by implementing a feature to re-apply historic WAL records in parallel to the already occurring WAL replay. The feature is outside of the user-visible backup and history story, and only serves as a second-level backup for the case that there is a bug in the pageservers that corrupted the served pages. The RFC proposes the addition of two new features: * recover a broken branch from WAL (downtime is allowed) * a test recovery system to recover random branches to make sure recovery works
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# Name
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Created on: 2023-09-08
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Author: Arpad Müller
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## Summary
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Enable the pageserver to recover from data corruption events by implementing
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a feature to re-apply historic WAL records in parallel to the already occurring
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WAL replay.
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The feature is outside of the user-visible backup and history story, and only
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serves as a second-level backup for the case that there is a bug in the
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pageservers that corrupted the served pages.
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The RFC proposes the addition of two new features:
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* recover a broken branch from WAL (downtime is allowed)
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* a test recovery system to recover random branches to make sure recovery works
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## Motivation
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The historic WAL is currently stored in S3 even after it has been replayed by
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the pageserver and thus been integrated into the pageserver's storage system.
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This is done to defend from data corruption failures inside the pageservers.
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However, application of this WAL in the disaster recovery setting is currently
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very manual and we want to automate this to make it easier.
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### Use cases
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There are various use cases for this feature, like:
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* The main motivation is replaying in the instance of pageservers corrupting
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data.
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* We might want to, beyond the user-visible history features, through our
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support channels and upon customer request, in select instances, recover
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historic versions beyond the range of history that we officially support.
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* Running the recovery process in the background for random tenant timelines
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to figure out if there was a corruption of data (we would compare with what
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the pageserver stores for the "official" timeline).
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* Using the WAL to arrive at historic pages we can then back up to S3 so that
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WAL itself can be discarded, or at least not used for future replays.
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Again, this sounds a lot like what the pageserver is already doing, but the
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point is to provide a fallback to the service provided by the pageserver.
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## Design
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### Design constraints
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The main design constraint is that the feature needs to be *simple* enough that
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the number of bugs are as low, and reliability as high as possible: the main
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goal of this endeavour is to achieve higher correctness than the pageserver.
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For the background process, we cannot afford a downtime of the timeline that is
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being cloned, as we don't want to restrict ourselves to offline tenants only.
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In the scenario where we want to recover from disasters or roll back to a
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historic lsn through support staff, downtimes are more affordable, and
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inevitable if the original had been subject to the corruption. Ideally, the
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two code paths would share code, so the solution would be designed for not
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requiring downtimes.
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### API endpoint changes
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This RFC proposes two API endpoint changes in the safekeeper and the
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pageserver.
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Remember, the pageserver timeline API creation endpoint is to this URL:
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```
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/v1/tenant/{tenant_id}/timeline/
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```
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Where `{tenant_id}` is the ID of the tenant the timeline is created for,
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and specified as part of the URL. The timeline ID is passed via the POST
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request body as the only required parameter `new_timeline_id`.
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This proposal adds one optional parameter called
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`existing_initdb_timeline_id` to the request's json body. If the parameter
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is not specified, behaviour should be as existing, so the pageserver runs
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initdb.
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If the parameter is specified, it is expected to point to a timeline ID.
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In fact that ID might match `new_timeline_id`, what's important is that
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S3 storage contains a matching initdb under the URL matching the given
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tenant and timeline.
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Having both `ancestor_timeline_id` and `existing_initdb_timeline_id`
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specified is illegal and will yield in an HTTP error. This feature is
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only meant for the "main" branch that doesn't have any ancestors
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of its own, as only here initdb is relevant.
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For the safekeeper, we propose the addition of the following copy endpoint:
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```
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/v1/tenant/{tenant_id}/timeline/{source_timeline_id}/copy
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```
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it is meant for POST requests with json, and the two URL parameters
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`tenant_id` and `source_timeline_id`. The json request body contains
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the two required parameters `target_timeline_id` and `until_lsn`.
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After invoking, the copy endpoint starts a copy process of the WAL from
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the source ID to the target ID. The lsn is updated according to the
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progress of the API call.
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### Higher level features
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We want the API changes to support the following higher level features:
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* recovery-after-corruption DR of the main timeline of a tenant. This
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feature allows for downtime.
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* test DR of the main timeline into a special copy timeline. this feature
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is meant to run against selected production tenants in the background,
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without the user noticing, so it does not allow for downtime.
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The recovery-after-corruption DR only needs the pageserver changes.
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It works as follows:
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* delete the timeline from the pageservers via timeline deletion API
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* re-create it via timeline creation API (same ID as before) and set
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`existing_initdb_timeline_id` to the same timeline ID
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The test DR requires also the copy primitive and works as follows:
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* copy the WAL of the timeline to a new place
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* create a new timeline for the tenant
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## Non Goals
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At the danger of being repetitive, the main goal of this feature is to be a
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backup method, so reliability is very important. This implies that other
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aspects like performance or space reduction are less important.
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### Corrupt WAL
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The process suggested by this RFC assumes that the WAL is free of corruption.
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In some instances, corruption can make it into WAL, like for example when
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higher level components like postgres or the application first read corrupt
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data, and then execute a write with data derived from that earlier read. That
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written data might then contain the corruption.
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Common use cases can hit this quite easily. For example, an application reads
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some counter, increments it, and then writes the new counter value to the
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database.
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On a lower level, the compute might put FPIs (Full Page Images) into the WAL,
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which have corrupt data for rows unrelated to the write operation at hand.
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Separating corrupt writes from non-corrupt ones is a hard problem in general,
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and if the application was involved in making the corrupt write, a recovery
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would also involve the application. Therefore, corruption that has made it into
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the WAL is outside of the scope of this feature. However, the WAL replay can be
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issued to right before the point in time where the corruption occured. Then the
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data loss is isolated to post-corruption writes only.
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## Impacted components (e.g. pageserver, safekeeper, console, etc)
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Most changes would happen to the pageservers.
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For the higher level features, maybe other components like the console would
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be involved.
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We need to make sure that the shadow timelines are not subject to the usual
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limits and billing we apply to existing timelines.
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## Proposed implementation
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The first problem to keep in mind is the reproducability of `initdb`.
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So an initial step would be to upload `initdb` snapshots to S3.
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After that, we'd have the endpoint spawn a background process which
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performs the replay of the WAL to that new timeline. This process should
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follow the existing workflows as closely as possible, just using the
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WAL records of a different timeline.
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The timeline created will be in a special state that solely looks for WAL
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entries of the timeline it is trying to copy. Once the target LSN is reached,
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it turns into a normal timeline that also accepts writes to its own
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timeline ID.
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### Scalability
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For now we want to run this entire process on a single node, and as
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it is by nature linear, it's hard to parallelize. However, for the
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verification workloads, we can easily start the WAL replay in parallel
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for different points in time. This is valuable especially for tenants
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with large WAL records.
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Compare this with the tricks to make addition circuits execute with
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lower latency by making them perform the addition for both possible
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values of the carry bit, and then, in a second step, taking the
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result for the carry bit that was actually obtained.
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The other scalability dimension to consider is the WAL length, which
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is a growing question as tenants accumulate changes. There are
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possible approaches to this, including creating snapshots of the
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page files and uploading them to S3, but if we do this for every single
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branch, we lose the cheap branching property.
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### Implementation by component
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The proposed changes for the various components of the neon architecture
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are written up in this notion page:
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https://www.notion.so/neondatabase/Pageserver-disaster-recovery-one-pager-4ecfb5df16ce4f6bbfc3817ed1a6cbb2
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### Unresolved questions
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none known (outside of the mentioned ones).
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