Bump SLF4J from 1.7.30 to 2.0.16. by shunping · Pull Request #33574 · apache/beam
The class path of slf4j has been changed from org/slf4j/impl to org/slf4j/jul. Two failed tests: - :runners:google-cloud-dataflow-java:worker:validateShadedJarContainsSlf4jJdk14 - :runners:google-cloud-dataflow-java:worker:validateShadedJarDoesntLeakNonProjectClasses
The previous version has a compile dependency on slf4j 1.x binding, which would no longer work with slf4j 2.x.
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Update slf4j version
[Do not merge] Update slf4j version
shunping
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[Do not merge] Update slf4j version
Bump slf4j from 1.7.30 to 2.0.16.
shunping
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Bump slf4j from 1.7.30 to 2.0.16.
Breaking Change: Bump slf4j from 1.7.30 to 2.0.16.
shunping
changed the title
Breaking Change: Bump slf4j from 1.7.30 to 2.0.16.
[Breaking Change] Bump slf4j from 1.7.30 to 2.0.16.
shunping
changed the title
[Breaking Change] Bump slf4j from 1.7.30 to 2.0.16.
Bump SLF4J from 1.7.30 to 2.0.16.
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VardhanThigle pushed a commit to VardhanThigle/beam that referenced this pull request
Mar 21, 2025* Update slf4j version * Remove slf4j from arrow dependency exclusion. * Fix two test failures due to upgrade slf4j-jdk14 to 2.x The class path of slf4j has been changed from org/slf4j/impl to org/slf4j/jul. Two failed tests: - :runners:google-cloud-dataflow-java:worker:validateShadedJarContainsSlf4jJdk14 - :runners:google-cloud-dataflow-java:worker:validateShadedJarDoesntLeakNonProjectClasses * Fixed another four failed tests. The failed tests are under org.apache.beam.runners.dataflow.worker.HotKeyLoggerTest * Bump the default spark version from 3.2.2 to 3.5.0. The previous version has a compile dependency on slf4j 1.x binding, which would no longer work with slf4j 2.x. * Add used but not declared deps for spark 3.5.0 * Temporary modify spark version to 3.x in sparkreceiver. * Fix failed spark tests. * A better workaround for Spark 3.2.x * Take out the add-opens for tests as they were only run in java 8 and 11. * Mention changes in CHANGES.md * Update comments * Move sparkReceiver/2 to sparkreceiver/3 that supports Spark 3.x. * Minor fix on cdap spark dependency
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