[HUDI-8266] Ensure CleanPlanner is serializable #35651
Annotations
1 error and 31 warnings
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IT - Bundle Validation - OpenJDK 8
Trying to access closed classloader. Please check if you store classloaders directly or indirectly in static fields. If the stacktrace suggests that the leak occurs in a third party library and cannot be fixed immediately, you can disable this check with the configuration 'classloader.check-leaked-classloader'.
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The following actions use a deprecated Node.js version and will be forced to run on node20: actions/checkout@v3, actions/setup-java@v3. For more info: https://github.blog/changelog/2024-03-07-github-actions-all-actions-will-run-on-node20-instead-of-node16-by-default/
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IT - Bundle Validation - OpenJDK 8
validate.sh validating spark & hadoop-mr bundle
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IT - Bundle Validation - OpenJDK 8
validate.sh setting up hive metastore for spark & hadoop-mr bundles validation
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IT - Bundle Validation - OpenJDK 8
validate.sh Writing sample data via Spark DataSource and run Hive Sync...
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IT - Bundle Validation - OpenJDK 8
validate.sh Query and validate the results using Spark SQL
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IT - Bundle Validation - OpenJDK 8
validate.sh Query and validate the results using HiveQL
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IT - Bundle Validation - OpenJDK 8
Use default java runtime under /opt/java/openjdk
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IT - Bundle Validation - OpenJDK 8
validate.sh spark & hadoop-mr bundles validation was successful.
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IT - Bundle Validation - OpenJDK 8
validate.sh done validating spark & hadoop-mr bundle
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IT - Bundle Validation - OpenJDK 8
validate.sh skip validating utilities bundle for non-spark2.4 & non-spark3.1 build
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IT - Bundle Validation - OpenJDK 8
validate.sh validating utilities slim bundle
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IT - Bundle Validation - OpenJDK 17
validate.sh validating spark & hadoop-mr bundle
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IT - Bundle Validation - OpenJDK 17
validate.sh setting up hive metastore for spark & hadoop-mr bundles validation
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IT - Bundle Validation - OpenJDK 17
validate.sh Writing sample data via Spark DataSource and run Hive Sync...
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IT - Bundle Validation - OpenJDK 17
validate.sh Query and validate the results using Spark SQL
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IT - Bundle Validation - OpenJDK 17
validate.sh Query and validate the results using HiveQL
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IT - Bundle Validation - OpenJDK 17
Use default java runtime under /opt/java/openjdk
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IT - Bundle Validation - OpenJDK 17
validate.sh spark & hadoop-mr bundles validation was successful.
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IT - Bundle Validation - OpenJDK 17
validate.sh done validating spark & hadoop-mr bundle
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IT - Bundle Validation - OpenJDK 17
validate.sh skip validating utilities bundle for non-spark2.4 & non-spark3.1 build
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IT - Bundle Validation - OpenJDK 17
validate.sh validating utilities slim bundle
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IT - Bundle Validation - OpenJDK 11
validate.sh validating spark & hadoop-mr bundle
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IT - Bundle Validation - OpenJDK 11
validate.sh setting up hive metastore for spark & hadoop-mr bundles validation
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IT - Bundle Validation - OpenJDK 11
validate.sh Writing sample data via Spark DataSource and run Hive Sync...
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IT - Bundle Validation - OpenJDK 11
validate.sh Query and validate the results using Spark SQL
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IT - Bundle Validation - OpenJDK 11
validate.sh Query and validate the results using HiveQL
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IT - Bundle Validation - OpenJDK 11
Use default java runtime under /opt/java/openjdk
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IT - Bundle Validation - OpenJDK 11
validate.sh spark & hadoop-mr bundles validation was successful.
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IT - Bundle Validation - OpenJDK 11
validate.sh done validating spark & hadoop-mr bundle
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IT - Bundle Validation - OpenJDK 11
validate.sh skip validating utilities bundle for non-spark2.4 & non-spark3.1 build
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IT - Bundle Validation - OpenJDK 11
validate.sh validating utilities slim bundle
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