[MINOR] Fix RFC index and updating 1.0 RFCs #10
Annotations
1 error and 31 warnings
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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ubuntu-latest pipelines will use ubuntu-24.04 soon. For more details, see https://github.com/actions/runner-images/issues/10636
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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-spark3.5 build
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IT - Bundle Validation - OpenJDK 17
validate.sh validating utilities slim bundle
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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
|
IT - Bundle Validation - OpenJDK 8
validate.sh Writing sample data via Spark DataSource and run Hive Sync...
|
IT - Bundle Validation - OpenJDK 8
validate.sh Query and validate the results using Spark SQL
|
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-spark3.5 build
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IT - Bundle Validation - OpenJDK 8
validate.sh validating utilities slim bundle
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IT - Bundle Validation - OpenJDK 11
validate.sh validating spark & hadoop-mr bundle
|
IT - Bundle Validation - OpenJDK 11
validate.sh setting up hive metastore for spark & hadoop-mr bundles validation
|
IT - Bundle Validation - OpenJDK 11
validate.sh Writing sample data via Spark DataSource and run Hive Sync...
|
IT - Bundle Validation - OpenJDK 11
validate.sh Query and validate the results using Spark SQL
|
IT - Bundle Validation - OpenJDK 11
validate.sh Query and validate the results using HiveQL
|
IT - Bundle Validation - OpenJDK 11
Use default java runtime under /opt/java/openjdk
|
IT - Bundle Validation - OpenJDK 11
validate.sh spark & hadoop-mr bundles validation was successful.
|
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-spark3.5 build
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IT - Bundle Validation - OpenJDK 11
validate.sh validating utilities slim bundle
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