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'.

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 utilities bundle

validate.sh running deltastreamer

validate.sh done with deltastreamer

validate.sh validating deltastreamer in spark shell

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 utilities bundle

validate.sh running deltastreamer

validate.sh done with deltastreamer

validate.sh validating deltastreamer in spark shell

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 utilities bundle

validate.sh running deltastreamer

validate.sh done with deltastreamer

validate.sh validating deltastreamer in spark shell

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 utilities bundle

validate.sh running deltastreamer

validate.sh done with deltastreamer

validate.sh validating deltastreamer in spark shell

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 utilities bundle

validate.sh running deltastreamer

validate.sh done with deltastreamer

validate.sh validating deltastreamer in spark shell

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 utilities bundle

validate.sh running deltastreamer

validate.sh done with deltastreamer

validate.sh validating deltastreamer in spark shell

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 utilities bundle

validate.sh running deltastreamer

validate.sh done with deltastreamer

validate.sh validating deltastreamer in spark shell

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 utilities bundle

validate.sh running deltastreamer

validate.sh done with deltastreamer

validate.sh validating deltastreamer in spark shell

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 utilities bundle

validate.sh running deltastreamer

validate.sh done with deltastreamer

validate.sh validating deltastreamer in spark shell

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 utilities bundle for non-spark3.5 build

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

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

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

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

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

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

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

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

validate.sh validating utilities slim 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 validating utilities bundle

validate.sh running deltastreamer

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 utilities bundle

validate.sh running deltastreamer

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 utilities bundle