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Zibbp / ganymede

Twitch VOD and Live Stream archiving platform. Includes a rendered and real-time chat for each archive.
https://github.com/Zibbp/ganymede
GNU General Public License v3.0
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build(deps): bump github.com/riverqueue/river/rivertype from 0.11.4 to 0.14.2 #543

Open dependabot[bot] opened 1 week ago

dependabot[bot] commented 1 week ago

Bumps github.com/riverqueue/river/rivertype from 0.11.4 to 0.14.2.

Release notes

Sourced from github.com/riverqueue/river/rivertype's releases.

v0.14.2

Fixed

  • Cancellation of running jobs relied on a channel that was only being received when in the job fetch routine, meaning that jobs which were cancelled would not be cancelled until the next scheduled fetch. This was fixed by also receiving from the job cancellation channel when in the main producer loop, even if no fetches are happening. [PR #678](riverqueue/river#678).
  • Job insert middleware were not being utilized for periodic jobs. This insertion path has been refactored to rely on the unified insertion path from the client. Fixes #675. [PR #679](riverqueue/river#679).

v0.14.1

Fixed

  • In [PR #663](riverqueue/river#663) the client was changed to be more aggressive about re-fetching when it had previously fetched a full batch. Unfortunately a clause was missed, which resulted in the client being more aggressive any time even a single job was fetched on the previous attempt. This was corrected with a conditional to ensure it only happens when the last fetch was full. [PR #668](riverqueue/river#668).

v0.14.0

Added

Changed

  • Tune the client to be more aggressive about fetching when it just fetched a full batch of jobs, or when it skipped its previous triggered fetch because it was already full. This should bring more consistent throughput to poll-only mode and in cases where there is a backlog of existing jobs but new ones aren't being actively inserted. This will result in increased fetch load on many installations, with the benefit of increased throughput. As before, FetchCooldown still limits how frequently these fetches can occur on each client and can be increased to reduce the amount of fetch querying. Thanks Chris Gaffney (@​gaffneyc) for the idea, initial implementation, and benchmarks. [PR #663](riverqueue/river#663).

Fixed

  • riverpgxv5 driver: Hijack() the underlying listener connection as soon as it is acquired from the pgxpool.Pool in order to prevent the pool from automatically closing it after it reaches its max age. A max lifetime makes sense in the context of a pool with many conns, but a long-lived listener does not need a max lifetime as long as it can ensure the conn remains healthy. [PR #661](riverqueue/river#661).

v0.13.0

⚠️ Version 0.13.0 removes the original advisory lock based unique jobs implementation that was deprecated in v0.12.0. See details in the note below or the v0.12.0 release notes.

Added

  • A middleware system was added for job insertion and execution, providing the ability to extract shared functionality across workers. Both JobInsertMiddleware and WorkerMiddleware can be configured globally on the Client, and WorkerMiddleware can also be added on a per-worker basis using the new Middleware method on Worker[T]. Middleware can be useful for logging, telemetry, or for building higher level abstractions on top of base River functionality.

    Despite the interface expansion, users should not encounter any breakage if they're embedding the WorkerDefaults type in their workers as recommended. [PR #632](riverqueue/river#632).

Changed

  • Breaking change: The advisory lock unique jobs implementation which was deprecated in v0.12.0 has been removed. Users of that feature should first upgrade to v0.12.1 to ensure they don't see any warning logs about using the deprecated advisory lock uniqueness. The new, faster unique implementation will be used automatically as long as the UniqueOpts.ByState list hasn't been customized to remove required states (pending, scheduled, available, and running). As of this release, customizing ByState without these required states returns an error. [PR #614](riverqueue/river#614).
  • Single job inserts are now unified under the hood to use the InsertMany bulk insert query. This should not be noticeable to users, and the unified code path will make it easier to build new features going forward. [PR #614](riverqueue/river#614).

Fixed

v0.13.0-rc.1

⚠️ Version 0.13.0 removes the original advisory lock based unique jobs implementation that was deprecated in v0.12.0. See details in the note below or the v0.12.0 release notes.

Added

  • A middleware system was added for job insertion and execution, providing the ability to extract shared functionality across workers. Both JobInsertMiddleware and WorkerMiddleware can be configured globally on the Client, and WorkerMiddleware can also be added on a per-worker basis using the new Middleware method on Worker[T]. Middleware can be useful for logging, telemetry, or for building higher level abstractions on top of base River functionality.

    Despite the interface expansion, users should not encounter any breakage if they're embedding the WorkerDefaults type in their workers as recommended. [PR #632](riverqueue/river#632).

... (truncated)

Changelog

Sourced from github.com/riverqueue/river/rivertype's changelog.

[0.14.2] - 2024-11-16

Fixed

  • Cancellation of running jobs relied on a channel that was only being received when in the job fetch routine, meaning that jobs which were cancelled would not be cancelled until the next scheduled fetch. This was fixed by also receiving from the job cancellation channel when in the main producer loop, even if no fetches are happening. [PR #678](riverqueue/river#678).
  • Job insert middleware were not being utilized for periodic jobs. This insertion path has been refactored to rely on the unified insertion path from the client. Fixes #675. [PR #679](riverqueue/river#679).

[0.14.1] - 2024-11-04

Fixed

  • In [PR #663](riverqueue/river#663) the client was changed to be more aggressive about re-fetching when it had previously fetched a full batch. Unfortunately a clause was missed, which resulted in the client being more aggressive any time even a single job was fetched on the previous attempt. This was corrected with a conditional to ensure it only happens when the last fetch was full. [PR #668](riverqueue/river#668).

[0.14.0] - 2024-11-03

Added

Changed

  • Tune the client to be more aggressive about fetching when it just fetched a full batch of jobs, or when it skipped its previous triggered fetch because it was already full. This should bring more consistent throughput to poll-only mode and in cases where there is a backlog of existing jobs but new ones aren't being actively inserted. This will result in increased fetch load on many installations, with the benefit of increased throughput. As before, FetchCooldown still limits how frequently these fetches can occur on each client and can be increased to reduce the amount of fetch querying. Thanks Chris Gaffney (@​gaffneyc) for the idea, initial implementation, and benchmarks. [PR #663](riverqueue/river#663).

Fixed

  • riverpgxv5 driver: Hijack() the underlying listener connection as soon as it is acquired from the pgxpool.Pool in order to prevent the pool from automatically closing it after it reaches its max age. A max lifetime makes sense in the context of a pool with many conns, but a long-lived listener does not need a max lifetime as long as it can ensure the conn remains healthy. [PR #661](riverqueue/river#661).

[0.13.0] - 2024-10-07

⚠️ Version 0.13.0 removes the original advisory lock based unique jobs implementation that was deprecated in v0.12.0. See details in the note below or the v0.12.0 release notes.

Added

  • A middleware system was added for job insertion and execution, providing the ability to extract shared functionality across workers. Both JobInsertMiddleware and WorkerMiddleware can be configured globally on the Client, and WorkerMiddleware can also be added on a per-worker basis using the new Middleware method on Worker[T]. Middleware can be useful for logging, telemetry, or for building higher level abstractions on top of base River functionality.

    Despite the interface expansion, users should not encounter any breakage if they're embedding the WorkerDefaults type in their workers as recommended. [PR #632](riverqueue/river#632).

Changed

  • Breaking change: The advisory lock unique jobs implementation which was deprecated in v0.12.0 has been removed. Users of that feature should first upgrade to v0.12.1 to ensure they don't see any warning logs about using the deprecated advisory lock uniqueness. The new, faster unique implementation will be used automatically as long as the UniqueOpts.ByState list hasn't been customized to remove required states (pending, scheduled, available, and running). As of this release, customizing ByState without these required states returns an error. [PR #614](riverqueue/river#614).
  • Single job inserts are now unified under the hood to use the InsertMany bulk insert query. This should not be noticeable to users, and the unified code path will make it easier to build new features going forward. [PR #614](riverqueue/river#614).

Fixed

[0.12.1] - 2024-09-26

Changed

... (truncated)

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