The job was canceled because "flink1_15_spark3_2_spark3" failed.

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.

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