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Releases: m-lab/prometheus-bigquery-exporter
v1.2.0 / 2025-05-06
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What's Changed
- Fix docker image build using versioned dependencies by @stephen-soltesz in #38
- Upgrade repo to Go 1.18 by @SaiedKazemi in #41
- Remove Dockerfile.testing by @SaiedKazemi in #42
- Upgrade bigquery v1.3.0 -> v1.45.0 by @TylerLubeck in #44
- Update m-lab/go to v0.1.66 by @robertodauria in #47
- Update go version to 1.20 by @cristinaleonr in #48
- Add metrics and keep app alive by @guerremdq in #50
- Bump github.com/prometheus/client_golang from 1.6.0 to 1.11.1 by @dependabot in #45
- Bump google.golang.org/grpc from 1.51.0 to 1.56.3 by @dependabot in #52
New Contributors
- @SaiedKazemi made their first contribution in #41
- @TylerLubeck made their first contribution in #44
- @robertodauria made their first contribution in #47
- @cristinaleonr made their first contribution in #48
- @guerremdq made their first contribution in #50
- @dependabot made their first contribution in #45
Full Changelog: v1.1.1...v1.2.0
Assets 2
Fix: Error handling during prometheus collector registration
Update documentation, Fix query updates
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Assets 2
Use canonical prometheus exporter port (and code cleanup)
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This release represents significant code health cleanup, 100% test coverage, and new flags. Queries are updated in parallel rather than serially. Updates include:
Fix comment for valToString (#15)
Update bqx package names (#17)
Complete test coverage of collector (#19)
Add internal setup package for managing file loading and registration (#18)
Complete test coverage for query package (#20)
Update main to use setup.File interfaces (#21)
Eliminate bqiface and complete test coverage in query package (#22)
Assets 2
Support exporting multiple values in query results
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This release includes changes that support exporting multiple result values per query.
Assets 2
Use Standard SQL
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This release of bigquery exporter uses BigQuery Standard SQL syntax, removing support for legacy sql.
Assets 2
Initial trial release of the bigquery_exporter v0.1
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This release will enable building docker images and continuing to develop k8s configuration that uses that image.