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'.

Process completed with exit code 1.

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'.

<false>

<false>

Failed to rollback /tmp/junit-5816784283762730549/dataset commits 20250822143229620

Cannot resolve conflicts for overlapping writes between first operation = {actionType=commit, instantTime=20250822143225783, actionState=INFLIGHT'}, second operation = {actionType=commit, instantTime=20250822143225766, actionState=COMPLETED'}

Failed to rollback /tmp/junit-8214831928515055848/dataset commits 20250822143345676

Cannot resolve conflicts for overlapping writes between first operation = {actionType=commit, instantTime=20250822143341585, actionState=INFLIGHT'}, second operation = {actionType=commit, instantTime=20250822143341560, actionState=COMPLETED'}

Failed to rollback /tmp/junit-8528497693670148750/dataset commits 20250822143248382

Cannot resolve conflicts for overlapping writes between first operation = {actionType=commit, instantTime=20250822143244850, actionState=INFLIGHT'}, second operation = {actionType=commit, instantTime=20250822143244825, actionState=COMPLETED'}

Failed to rollback /tmp/junit-8733324224962470194/dataset commits 20250822143409532

Cannot resolve conflicts for overlapping writes between first operation = {actionType=commit, instantTime=20250822143405243, actionState=INFLIGHT'}, second operation = {actionType=commit, instantTime=20250822143405260, actionState=COMPLETED'}

Failed to rollback /tmp/junit-3525821838511561418/dataset commits 20250822143339701

Cannot resolve conflicts for overlapping writes between first operation = {actionType=commit, instantTime=20250822143336016, actionState=INFLIGHT'}, second operation = {actionType=commit, instantTime=20250822143335991, actionState=COMPLETED'}

Failed to rollback /tmp/junit-4158318801392709624/dataset commits 20250822143259735

Cannot resolve conflicts for overlapping writes between first operation = {actionType=commit, instantTime=20250822143256209, actionState=INFLIGHT'}, second operation = {actionType=commit, instantTime=20250822143256191, actionState=COMPLETED'}

Failed to rollback /tmp/junit-17947392962715841213/dataset commits 20250822143343378

Cannot resolve conflicts for overlapping writes between first operation = {actionType=commit, instantTime=20250822143339165, actionState=INFLIGHT'}, second operation = {actionType=commit, instantTime=20250822143339138, actionState=COMPLETED'}

validate.sh done validating flink 2.0 bundle

validate.sh done validating Flink bundle validation was successful.

Use default java runtime under /opt/java/openjdk

validate.sh validating flink 2.0 bundle

validate.sh done validating flink 2.0 bundle

validate.sh done validating Flink bundle validation was successful.

Use default java runtime under /opt/java/openjdk

validate.sh validating flink 2.0 bundle

docker_test_java17.sh run_docker_tests Running Hudi maven tests on Docker

docker_test_java17.sh Running tests with Java 17

docker_test_java17.sh starting hadoop hdfs, hdfs report

docker_test_java17.sh starting datanode:3

docker_test_java17.sh starting datanode:2

docker_test_java17.sh starting datanode:1

docker_test_java17.sh starting hadoop hdfs

docker_test_java17.sh copying hadoop conf

docker_test_java17.sh Done building Hudi with Java 8

docker_test_java17.sh Building Hudi with Java 8

docker_test_java17.sh run_docker_tests Running Hudi maven tests on Docker

docker_test_java17.sh Running tests with Java 17

docker_test_java17.sh starting hadoop hdfs, hdfs report

docker_test_java17.sh starting datanode:3

docker_test_java17.sh starting datanode:2

docker_test_java17.sh starting datanode:1

docker_test_java17.sh starting hadoop hdfs

docker_test_java17.sh copying hadoop conf

docker_test_java17.sh Done building Hudi with Java 8

docker_test_java17.sh Building Hudi with Java 8

docker_test_java17.sh run_docker_tests Running Hudi maven tests on Docker

docker_test_java17.sh Running tests with Java 17

docker_test_java17.sh starting hadoop hdfs, hdfs report

docker_test_java17.sh starting datanode:3

docker_test_java17.sh starting datanode:2

docker_test_java17.sh starting datanode:1

docker_test_java17.sh starting hadoop hdfs

docker_test_java17.sh copying hadoop conf

docker_test_java17.sh Done building Hudi with Java 8

docker_test_java17.sh Building Hudi with Java 8

validate.sh validating utilities bundle

validate.sh done validating cli bundle

validate.sh setting up CLI bundle validation

validate.sh validating cli bundle

validate.sh done validating spark & hadoop-mr bundle

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

Use default java runtime under /opt/java/openjdk

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

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

validate.sh validating spark & hadoop-mr bundle

validate.sh validating utilities bundle

validate.sh done validating cli bundle

validate.sh setting up CLI bundle validation

validate.sh validating cli bundle

validate.sh done validating spark & hadoop-mr bundle

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

Use default java runtime under /opt/java/openjdk

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

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

validate.sh validating spark & hadoop-mr bundle

validate.sh validating utilities bundle

validate.sh done validating cli bundle

validate.sh setting up CLI bundle validation

validate.sh validating cli bundle

validate.sh done validating spark & hadoop-mr bundle

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

Use default java runtime under /opt/java/openjdk

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

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

validate.sh validating spark & hadoop-mr bundle

validate.sh validating utilities bundle

validate.sh done validating cli bundle

validate.sh setting up CLI bundle validation

validate.sh validating cli bundle

validate.sh done validating spark & hadoop-mr bundle

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

Use default java runtime under /opt/java/openjdk

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

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

validate.sh validating spark & hadoop-mr bundle

validate.sh validating utilities bundle

validate.sh done validating cli bundle

validate.sh setting up CLI bundle validation

validate.sh validating cli bundle

validate.sh done validating spark & hadoop-mr bundle

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

Use default java runtime under /opt/java/openjdk

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

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

validate.sh validating spark & hadoop-mr bundle

validate.sh validating utilities bundle

validate.sh done validating cli bundle

validate.sh setting up CLI bundle validation

validate.sh validating cli bundle

validate.sh done validating spark & hadoop-mr bundle

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

Use default java runtime under /opt/java/openjdk

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

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

validate.sh validating spark & hadoop-mr bundle

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

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

validate.sh done validating spark & hadoop-mr bundle

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

Use default java runtime under /opt/java/openjdk

validate.sh Query and validate the results using HiveQL

validate.sh Query and validate the results using Spark SQL

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

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

validate.sh validating spark & hadoop-mr bundle

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

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

validate.sh done validating spark & hadoop-mr bundle

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

Use default java runtime under /opt/java/openjdk

validate.sh Query and validate the results using HiveQL

validate.sh Query and validate the results using Spark SQL

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

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

validate.sh validating spark & hadoop-mr bundle

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

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

validate.sh done validating spark & hadoop-mr bundle

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

Use default java runtime under /opt/java/openjdk

validate.sh Query and validate the results using HiveQL

validate.sh Query and validate the results using Spark SQL

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

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

validate.sh validating spark & hadoop-mr bundle

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

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

validate.sh done validating spark & hadoop-mr bundle

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

Use default java runtime under /opt/java/openjdk

validate.sh Query and validate the results using HiveQL

validate.sh Query and validate the results using Spark SQL

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

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

validate.sh validating spark & hadoop-mr bundle

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

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

validate.sh done validating spark & hadoop-mr bundle

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

Use default java runtime under /opt/java/openjdk

validate.sh Query and validate the results using HiveQL

validate.sh Query and validate the results using Spark SQL

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

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

validate.sh validating spark & hadoop-mr bundle

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

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

validate.sh done validating spark & hadoop-mr bundle

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

Use default java runtime under /opt/java/openjdk

validate.sh Query and validate the results using HiveQL

validate.sh Query and validate the results using Spark SQL

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

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