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'.

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'.

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'.

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'.

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'.

Cannot resolve conflicts for overlapping writes between first operation = {actionType=commit, instantTime=20250425222134576, actionState=INFLIGHT'}, second operation = {actionType=commit, instantTime=20250425222134574, actionState=COMPLETED'}

Cannot resolve conflicts for overlapping writes between first operation = {actionType=commit, instantTime=20250425222158849, actionState=INFLIGHT'}, second operation = {actionType=commit, instantTime=20250425222158853, actionState=COMPLETED'}

Cannot resolve conflicts for overlapping writes between first operation = {actionType=commit, instantTime=20250425222150958, actionState=INFLIGHT'}, second operation = {actionType=commit, instantTime=20250425222150960, actionState=COMPLETED'}

Cannot resolve conflicts for overlapping writes between first operation = {actionType=commit, instantTime=20250425222127953, actionState=INFLIGHT'}, second operation = {actionType=commit, instantTime=20250425222127955, actionState=COMPLETED'}

Cannot resolve conflicts for overlapping writes between first operation = {actionType=commit, instantTime=20250425222123307, actionState=INFLIGHT'}, second operation = {actionType=commit, instantTime=20250425222123262, actionState=COMPLETED'}

Cannot resolve conflicts for overlapping writes between first operation = {actionType=commit, instantTime=20250425222152184, actionState=INFLIGHT'}, second operation = {actionType=commit, instantTime=20250425222152209, actionState=COMPLETED'}

Cannot resolve conflicts for overlapping writes between first operation = {actionType=commit, instantTime=20250425222131558, actionState=INFLIGHT'}, second operation = {actionType=commit, instantTime=20250425222131561, actionState=COMPLETED'}

docker_test_java17.sh Building Hudi with Java 8

docker_test_java17.sh Done building Hudi with Java 8

docker_test_java17.sh copying hadoop conf

docker_test_java17.sh starting hadoop hdfs

docker_test_java17.sh starting datanode:1

docker_test_java17.sh starting datanode:2

docker_test_java17.sh starting datanode:3

docker_test_java17.sh starting hadoop hdfs, hdfs report

docker_test_java17.sh Running tests with Java 17

docker_test_java17.sh run_docker_tests Running Hudi maven tests on Docker

docker_test_java17.sh Building Hudi with Java 8

docker_test_java17.sh Done building Hudi with Java 8

docker_test_java17.sh copying hadoop conf

docker_test_java17.sh starting hadoop hdfs

docker_test_java17.sh starting datanode:1

docker_test_java17.sh starting datanode:2

docker_test_java17.sh starting datanode:3

docker_test_java17.sh starting hadoop hdfs, hdfs report

docker_test_java17.sh Running tests with Java 17

docker_test_java17.sh run_docker_tests Running Hudi maven tests on Docker

docker_test_java17.sh Building Hudi with Java 8

docker_test_java17.sh Done building Hudi with Java 8

docker_test_java17.sh copying hadoop conf

docker_test_java17.sh starting hadoop hdfs

docker_test_java17.sh starting datanode:1

docker_test_java17.sh starting datanode:2

docker_test_java17.sh starting datanode:3

docker_test_java17.sh starting hadoop hdfs, hdfs report

docker_test_java17.sh Running tests with Java 17

docker_test_java17.sh run_docker_tests Running Hudi maven tests on Docker

validate.sh validating spark & hadoop-mr bundle

validate.sh setting up hive metastore for spark & hadoop-mr bundles validation

validate.sh Writing sample data via Spark DataSource and run Hive Sync...

Use default java runtime under /opt/java/openjdk

validate.sh spark & hadoop-mr bundles validation was successful.

validate.sh done validating spark & hadoop-mr bundle

validate.sh validating cli bundle

validate.sh setting up CLI bundle validation

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validate.sh validating utilities bundle

validate.sh validating spark & hadoop-mr bundle

validate.sh setting up hive metastore for spark & hadoop-mr bundles validation

validate.sh Writing sample data via Spark DataSource and run Hive Sync...

Use default java runtime under /opt/java/openjdk

validate.sh spark & hadoop-mr bundles validation was successful.

validate.sh done validating spark & hadoop-mr bundle

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validate.sh validating spark & hadoop-mr bundle

validate.sh setting up hive metastore for spark & hadoop-mr bundles validation

validate.sh Writing sample data via Spark DataSource and run Hive Sync...

Use default java runtime under /opt/java/openjdk

validate.sh spark & hadoop-mr bundles validation was successful.

validate.sh done validating spark & hadoop-mr bundle

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validate.sh setting up CLI bundle validation

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validate.sh validating spark & hadoop-mr bundle

validate.sh setting up hive metastore for spark & hadoop-mr bundles validation

validate.sh Writing sample data via Spark DataSource and run Hive Sync...

Use default java runtime under /opt/java/openjdk

validate.sh spark & hadoop-mr bundles validation was successful.

validate.sh done validating spark & hadoop-mr bundle

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validate.sh validating spark & hadoop-mr bundle

validate.sh setting up hive metastore for spark & hadoop-mr bundles validation

validate.sh Writing sample data via Spark DataSource and run Hive Sync...

Use default java runtime under /opt/java/openjdk

validate.sh spark & hadoop-mr bundles validation was successful.

validate.sh done validating spark & hadoop-mr bundle

validate.sh validating cli bundle

validate.sh setting up CLI bundle validation

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validate.sh validating utilities bundle

validate.sh validating spark & hadoop-mr bundle

validate.sh setting up hive metastore for spark & hadoop-mr bundles validation

validate.sh Writing sample data via Spark DataSource and run Hive Sync...

Use default java runtime under /opt/java/openjdk

validate.sh spark & hadoop-mr bundles validation was successful.

validate.sh done validating spark & hadoop-mr bundle

validate.sh validating cli bundle

validate.sh setting up CLI bundle validation

validate.sh done validating cli bundle

validate.sh validating utilities bundle

validate.sh validating spark & hadoop-mr bundle

validate.sh setting up hive metastore for spark & hadoop-mr bundles validation

validate.sh Writing sample data via Spark DataSource and run Hive Sync...

validate.sh Query and validate the results using Spark SQL

validate.sh Query and validate the results using HiveQL

Use default java runtime under /opt/java/openjdk

validate.sh spark & hadoop-mr bundles validation was successful.

validate.sh done validating spark & hadoop-mr bundle

validate.sh skip validating cli bundle for non-spark3.5 build

validate.sh skip validating utilities bundle for non-spark3.5 build

validate.sh validating spark & hadoop-mr bundle

validate.sh setting up hive metastore for spark & hadoop-mr bundles validation

validate.sh Writing sample data via Spark DataSource and run Hive Sync...

validate.sh Query and validate the results using Spark SQL

validate.sh Query and validate the results using HiveQL

Use default java runtime under /opt/java/openjdk

validate.sh spark & hadoop-mr bundles validation was successful.

validate.sh done validating spark & hadoop-mr bundle

validate.sh skip validating cli bundle for non-spark3.5 build

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validate.sh validating spark & hadoop-mr bundle

validate.sh setting up hive metastore for spark & hadoop-mr bundles validation

validate.sh Writing sample data via Spark DataSource and run Hive Sync...

validate.sh Query and validate the results using Spark SQL

validate.sh Query and validate the results using HiveQL

Use default java runtime under /opt/java/openjdk

validate.sh spark & hadoop-mr bundles validation was successful.

validate.sh done validating spark & hadoop-mr bundle

validate.sh skip validating cli bundle for non-spark3.5 build

validate.sh skip validating utilities bundle for non-spark3.5 build

validate.sh validating spark & hadoop-mr bundle

validate.sh setting up hive metastore for spark & hadoop-mr bundles validation

validate.sh Writing sample data via Spark DataSource and run Hive Sync...

validate.sh Query and validate the results using Spark SQL

validate.sh Query and validate the results using HiveQL

Use default java runtime under /opt/java/openjdk

validate.sh spark & hadoop-mr bundles validation was successful.

validate.sh done validating spark & hadoop-mr bundle

validate.sh skip validating cli bundle for non-spark3.5 build

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validate.sh validating spark & hadoop-mr bundle

validate.sh setting up hive metastore for spark & hadoop-mr bundles validation

validate.sh Writing sample data via Spark DataSource and run Hive Sync...

validate.sh Query and validate the results using Spark SQL

validate.sh Query and validate the results using HiveQL

Use default java runtime under /opt/java/openjdk

validate.sh spark & hadoop-mr bundles validation was successful.

validate.sh done validating spark & hadoop-mr bundle

validate.sh skip validating cli bundle for non-spark3.5 build

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validate.sh validating spark & hadoop-mr bundle

validate.sh setting up hive metastore for spark & hadoop-mr bundles validation

validate.sh Writing sample data via Spark DataSource and run Hive Sync...

validate.sh Query and validate the results using Spark SQL

validate.sh Query and validate the results using HiveQL

Use default java runtime under /opt/java/openjdk

validate.sh spark & hadoop-mr bundles validation was successful.

validate.sh done validating spark & hadoop-mr bundle

validate.sh skip validating cli bundle for non-spark3.5 build

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validate.sh validating spark & hadoop-mr bundle

validate.sh setting up hive metastore for spark & hadoop-mr bundles validation

validate.sh Writing sample data via Spark DataSource and run Hive Sync...

validate.sh Query and validate the results using Spark SQL

validate.sh Query and validate the results using HiveQL

Use default java runtime under /opt/java/openjdk

validate.sh spark & hadoop-mr bundles validation was successful.

validate.sh done validating spark & hadoop-mr bundle

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validate.sh setting up CLI bundle validation

validate.sh validating spark & hadoop-mr bundle

validate.sh setting up hive metastore for spark & hadoop-mr bundles validation

validate.sh Writing sample data via Spark DataSource and run Hive Sync...

validate.sh Query and validate the results using Spark SQL

validate.sh Query and validate the results using HiveQL

Use default java runtime under /opt/java/openjdk

validate.sh spark & hadoop-mr bundles validation was successful.

validate.sh done validating spark & hadoop-mr bundle

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validate.sh setting up CLI bundle validation

validate.sh validating spark & hadoop-mr bundle

validate.sh setting up hive metastore for spark & hadoop-mr bundles validation

validate.sh Writing sample data via Spark DataSource and run Hive Sync...

validate.sh Query and validate the results using Spark SQL

validate.sh Query and validate the results using HiveQL

Use default java runtime under /opt/java/openjdk

validate.sh spark & hadoop-mr bundles validation was successful.

validate.sh done validating spark & hadoop-mr bundle

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validate.sh setting up CLI bundle validation

validate.sh validating spark & hadoop-mr bundle

validate.sh setting up hive metastore for spark & hadoop-mr bundles validation

validate.sh Writing sample data via Spark DataSource and run Hive Sync...

validate.sh Query and validate the results using Spark SQL

validate.sh Query and validate the results using HiveQL

Use default java runtime under /opt/java/openjdk

validate.sh spark & hadoop-mr bundles validation was successful.

validate.sh done validating spark & hadoop-mr bundle

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validate.sh setting up CLI bundle validation

validate.sh validating spark & hadoop-mr bundle

validate.sh setting up hive metastore for spark & hadoop-mr bundles validation

validate.sh Writing sample data via Spark DataSource and run Hive Sync...

validate.sh Query and validate the results using Spark SQL

validate.sh Query and validate the results using HiveQL

Use default java runtime under /opt/java/openjdk

validate.sh spark & hadoop-mr bundles validation was successful.

validate.sh done validating spark & hadoop-mr bundle

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validate.sh setting up CLI bundle validation

validate.sh validating spark & hadoop-mr bundle

validate.sh setting up hive metastore for spark & hadoop-mr bundles validation

validate.sh Writing sample data via Spark DataSource and run Hive Sync...

validate.sh Query and validate the results using Spark SQL

validate.sh Query and validate the results using HiveQL

Use default java runtime under /opt/java/openjdk

validate.sh spark & hadoop-mr bundles validation was successful.

validate.sh done validating spark & hadoop-mr bundle

validate.sh validating cli bundle