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EOA key management and EVM signing API service
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build(deps): bump github.com/riverqueue/river from 0.11.4 to 0.12.1 #18

Closed dependabot[bot] closed 1 month ago

dependabot[bot] commented 1 month ago

Bumps github.com/riverqueue/river from 0.11.4 to 0.12.1.

Release notes

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

v0.12.1

Changed

  • The BatchCompleter that marks jobs as completed can now batch database updates for all states of jobs that have finished execution. Prior to this change, only completed jobs were batched into a single UPDATE call, while jobs moving to any other state used a single UPDATE per job. This change should significantly reduce database and pool contention on high volume system when jobs get retried, snoozed, cancelled, or discarded following execution. [PR #617](riverqueue/river#617).

Fixed

  • Unique job changes from v0.12.0 / [PR #590](riverqueue/river#590) introduced a bug with scheduled or retryable unique jobs where they could be considered in conflict with themselves and moved to discarded by mistake. There was also a possibility of a broken job scheduler if duplicate retryable unique jobs were attempted to be scheduled at the same time. The job scheduling query was corrected to address these issues along with missing test coverage. [PR #619](riverqueue/river#619).

v0.12.0

⚠️ Version 0.12.0 contains a new database migration, version 6. See documentation on running River migrations. If migrating with the CLI, make sure to update it to its latest version:

go install github.com/riverqueue/river/cmd/river@latest
river migrate-up --database-url "$DATABASE_URL"

If not using River's internal migration system, the raw SQL can alternatively be dumped with:

go install github.com/riverqueue/river/cmd/river@latest
river migrate-get --version 6 --up > river6.up.sql
river migrate-get --version 6 --down > river6.down.sql

The migration includes a new index. Users with a very large job table may want to consider raising the index separately using CONCURRENTLY (which must be run outside of a transaction), then run river migrate-up to finalize the process (it will tolerate an index that already exists):

ALTER TABLE river_job ADD COLUMN unique_states BIT(8);

CREATE UNIQUE INDEX CONCURRENTLY river_job_unique_idx ON river_job (unique_key)
WHERE unique_key IS NOT NULL
AND unique_states IS NOT NULL
AND river_job_state_in_bitmask(unique_states, state);


go install github.com/riverqueue/river/cmd/river@latest
river migrate-up --database-url "$DATABASE_URL"

Added

  • rivertest.WorkContext, a test function that can be used to initialize a context to test a JobArgs.Work implementation that will have a client set to context for use with river.ClientFromContext. [PR #526](riverqueue/river#526).
  • A new river migrate-list command is available which lists available migrations and which version a target database is migrated to. [PR #534](riverqueue/river#534).
  • river version or river --version now prints River version information. [PR #537](riverqueue/river#537).
  • Config.JobCleanerTimeout was added to allow configuration of the job cleaner query timeout. In some deployments with millions of stale jobs, the cleaner may not be able to complete its query within the default 30 seconds.

Changed

... (truncated)

Changelog

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

[0.12.1] - 2024-09-26

Changed

  • The BatchCompleter that marks jobs as completed can now batch database updates for all states of jobs that have finished execution. Prior to this change, only completed jobs were batched into a single UPDATE call, while jobs moving to any other state used a single UPDATE per job. This change should significantly reduce database and pool contention on high volume system when jobs get retried, snoozed, cancelled, or discarded following execution. [PR #617](riverqueue/river#617).

Fixed

  • Unique job changes from v0.12.0 / [PR #590](riverqueue/river#590) introduced a bug with scheduled or retryable unique jobs where they could be considered in conflict with themselves and moved to discarded by mistake. There was also a possibility of a broken job scheduler if duplicate retryable unique jobs were attempted to be scheduled at the same time. The job scheduling query was corrected to address these issues along with missing test coverage. [PR #619](riverqueue/river#619).

[0.12.0] - 2024-09-23

⚠️ Version 0.12.0 contains a new database migration, version 6. See documentation on running River migrations. If migrating with the CLI, make sure to update it to its latest version:

go install github.com/riverqueue/river/cmd/river@latest
river migrate-up --database-url "$DATABASE_URL"

If not using River's internal migration system, the raw SQL can alternatively be dumped with:

go install github.com/riverqueue/river/cmd/river@latest
river migrate-get --version 6 --up > river6.up.sql
river migrate-get --version 6 --down > river6.down.sql

The migration includes a new index. Users with a very large job table may want to consider raising the index separately using CONCURRENTLY (which must be run outside of a transaction), then run river migrate-up to finalize the process (it will tolerate an index that already exists):

ALTER TABLE river_job ADD COLUMN unique_states BIT(8);

CREATE UNIQUE INDEX CONCURRENTLY river_job_unique_idx ON river_job (unique_key)
WHERE unique_key IS NOT NULL
AND unique_states IS NOT NULL
AND river_job_state_in_bitmask(unique_states, state);


go install github.com/riverqueue/river/cmd/river@latest
river migrate-up --database-url "$DATABASE_URL"

Added

  • rivertest.WorkContext, a test function that can be used to initialize a context to test a JobArgs.Work implementation that will have a client set to context for use with river.ClientFromContext. [PR #526](riverqueue/river#526).
  • A new river migrate-list command is available which lists available migrations and which version a target database is migrated to. [PR #534](riverqueue/river#534).
  • river version or river --version now prints River version information. [PR #537](riverqueue/river#537).
  • Config.JobCleanerTimeout was added to allow configuration of the job cleaner query timeout. In some deployments with millions of stale jobs, the cleaner may not be able to complete its query within the default 30 seconds.

... (truncated)

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