Unexpected exception. This is a bug. Please consider filing an issue.

validate.sh Flink bundle validation failed.

Process completed with exit code 1.

The job was canceled because "scala-2_12_flink1_15_spar" failed.

Unexpected exception. This is a bug. Please consider filing an issue.

The operation was canceled.

The job was canceled because "scala-2_12_flink1_15_spar" failed.

The operation was canceled.

The job was canceled because "scala-2_12_flink1_15_spar" failed.

The operation was canceled.

The job was canceled because "scala-2_12_flink1_15_spar" failed.

The operation was canceled.

The job was canceled because "scala-2_12_flink1_15_spar" failed.

The job was canceled because "scala-2_12_flink1_15_spar" failed.

The job was canceled because "scala-2_12_flink1_15_spar" failed.

The operation was canceled.

Unexpected exception. This is a bug. Please consider filing an issue.

The operation was canceled.

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'.

The operation was canceled.

The job was canceled because "scala-2_12_flink1_15_spar" failed.

The operation was canceled.

The job was canceled because "scala-2_12_flink1_15_spar" failed.

The operation was canceled.

The job was canceled because "scala-2_12_flink1_15_spar" failed.

The operation was canceled.

Node.js 16 actions are deprecated. Please update the following actions to use Node.js 20: actions/checkout@v3, actions/setup-java@v3. For more information see: https://github.blog/changelog/2023-09-22-github-actions-transitioning-from-node-16-to-node-20/.

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-spark2.4 & non-spark3.1 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-spark2.4 & non-spark3.1 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 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 skip validating utilities bundle for non-spark2.4 & non-spark3.1 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 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

validate.sh Query and validate the results using Spark SQL

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

validate.sh Query and validate the results using HiveQL

validate.sh Query and validate the results using Spark SQL

Use default java runtime under /opt/java/openjdk

validate.sh Query and validate the results using HiveQL

Use default java runtime under /opt/java/openjdk

validate.sh done validating spark & hadoop-mr bundle

validate.sh validating spark & hadoop-mr bundle

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

validate.sh validating utilities bundle

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

validate.sh done validating spark & hadoop-mr bundle

validate.sh running deltastreamer

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

validate.sh skip validating utilities bundle for non-spark2.4 & non-spark3.1 build

validate.sh done with deltastreamer

validate.sh Query and validate the results using Spark SQL

validate.sh validating utilities slim bundle

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-spark2.4 & non-spark3.1 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-spark2.4 & non-spark3.1 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...

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-spark2.4 & non-spark3.1 build

validate.sh validating utilities slim bundle

validate.sh running deltastreamer

validate.sh done with 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 skip validating utilities bundle for non-spark2.4 & non-spark3.1 build