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'.

ubuntu-latest pipelines will use ubuntu-24.04 soon. For more details, see https://github.com/actions/runner-images/issues/10636

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

ubuntu-latest pipelines will use ubuntu-24.04 soon. For more details, see https://github.com/actions/runner-images/issues/10636

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

validate.sh validating spark & hadoop-mr bundle

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

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

Use default java runtime under /opt/java/openjdk

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

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

validate.sh Query and validate the results using Spark SQL

validate.sh done validating spark & hadoop-mr bundle

validate.sh Query and validate the results using HiveQL

validate.sh validating utilities bundle

Use default java runtime under /opt/java/openjdk

validate.sh running deltastreamer

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

validate.sh done with deltastreamer

validate.sh done validating spark & hadoop-mr bundle

validate.sh validating deltastreamer in spark shell

validate.sh validating utilities bundle

validate.sh running deltastreamer

validate.sh validating spark & hadoop-mr bundle

Error: Path Validation Error: Path(s) specified in the action for caching do(es) not exist, hence no cache is being saved.

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

validate.sh validating spark & hadoop-mr bundle

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

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

Use default java runtime under /opt/java/openjdk

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

validate.sh Query and validate the results using Spark SQL

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

validate.sh Query and validate the results using HiveQL

validate.sh done validating spark & hadoop-mr bundle

Use default java runtime under /opt/java/openjdk

validate.sh validating utilities bundle

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

validate.sh running deltastreamer

validate.sh done validating spark & hadoop-mr bundle

validate.sh done with deltastreamer

validate.sh validating utilities bundle

validate.sh running deltastreamer

validate.sh validating deltastreamer in spark shell

Error: Path Validation Error: Path(s) specified in the action for caching do(es) not exist, hence no cache is being saved.

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

ubuntu-latest pipelines will use ubuntu-24.04 soon. For more details, see https://github.com/actions/runner-images/issues/10636

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.

ubuntu-latest pipelines will use ubuntu-24.04 soon. For more details, see https://github.com/actions/runner-images/issues/10636

validate.sh done validating spark & hadoop-mr bundle

validate.sh validating spark & hadoop-mr bundle

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

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

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

validate.sh validating utilities slim bundle

validate.sh Query and validate the results using Spark SQL

Error: Path Validation Error: Path(s) specified in the action for caching do(es) not exist, hence no cache is being saved.

validate.sh validating spark & hadoop-mr bundle

validate.sh Query and validate the results using HiveQL

Use default java runtime under /opt/java/openjdk

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 spark & hadoop-mr bundles validation was successful.

validate.sh Query and validate the results using Spark SQL

validate.sh done validating spark & hadoop-mr bundle

validate.sh Query and validate the results using HiveQL

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

Use default java runtime under /opt/java/openjdk

validate.sh validating utilities slim bundle

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

Error: Path Validation Error: Path(s) specified in the action for caching do(es) not exist, hence no cache is being saved.

validate.sh done validating spark & hadoop-mr bundle

validate.sh validating spark & hadoop-mr bundle

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

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

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

validate.sh validating utilities slim bundle

validate.sh Query and validate the results using Spark SQL

validate.sh validating spark & hadoop-mr bundle

validate.sh Query and validate the results using HiveQL

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

Use default java runtime under /opt/java/openjdk

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

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

validate.sh Query and validate the results using Spark SQL

validate.sh done validating spark & hadoop-mr bundle

validate.sh Query and validate the results using HiveQL

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

Use default java runtime under /opt/java/openjdk

validate.sh validating utilities slim bundle

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

validate.sh validating spark & hadoop-mr bundle

validate.sh done validating spark & hadoop-mr bundle

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

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

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

validate.sh validating utilities slim bundle

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

ubuntu-latest pipelines will use ubuntu-24.04 soon. For more details, see https://github.com/actions/runner-images/issues/10636

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

Error: Path Validation Error: Path(s) specified in the action for caching do(es) not exist, hence no cache is being saved.

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