Skip to content
Java CI

[MINOR] Support schema evolution with array struct type #46338

Sign in to view logs

[MINOR] Support schema evolution with array struct type

[MINOR] Support schema evolution with array struct type #46338

Triggered via pull request December 10, 2025 03:39
@linliu-codelinliu-code
synchronize #17531
linliu-code:fix_struct_schema_evol
Status Failure
Total duration 48m 30s
Artifacts –

bot.yml

on: pull_request
validate-source
2m 12s
validate-source
Matrix: docker-java17-test
Matrix: integration-tests
Matrix: test-flink
Matrix: test-hudi-hadoop-mr-and-hudi-java-client
Matrix: test-spark-java-tests
Matrix: test-spark-java11-17-java-tests
Matrix: test-spark-java11-17-scala-tests
Matrix: test-spark-java17-java-tests
Matrix: test-spark-java17-scala-tests
Matrix: test-spark-scala-tests
Matrix: validate-bundles-java11
Matrix: validate-bundles
Fit to window
Zoom out
Zoom in

Annotations

29 errors and 280 warnings
test-spark-java17-java-tests (scala-2.12, spark3.3, hudi-spark-datasource/hudi-spark3.3.x)
Process completed with exit code 1.
test-spark-java17-java-tests (scala-2.12, spark3.4, hudi-spark-datasource/hudi-spark3.4.x)
The strategy configuration was canceled because "test-spark-java17-java-tests.scala-2_12_spark3_3_hudi-" failed
test-spark-java17-java-tests (scala-2.12, spark3.4, hudi-spark-datasource/hudi-spark3.4.x)
The operation was canceled.
integration-tests (spark2.4, spark-2.4.4/spark-2.4.4-bin-hadoop2.7.tgz)
Process completed with exit code 1.
test-spark-java-tests (scala-2.12, spark3.1, hudi-spark-datasource/hudi-spark3.1.x)
Process completed with exit code 1.
test-spark-java-tests (scala-2.12, spark3.1, hudi-spark-datasource/hudi-spark3.1.x)
Cannot resolve conflicts for overlapping writes
test-spark-java-tests (scala-2.12, spark3.0, hudi-spark-datasource/hudi-spark3.0.x)
The strategy configuration was canceled because "test-spark-java-tests.scala-2_12_spark3_1_hudi-" failed
test-spark-java-tests (scala-2.12, spark3.0, hudi-spark-datasource/hudi-spark3.0.x)
The operation was canceled.
test-spark-java-tests (scala-2.12, spark3.3, hudi-spark-datasource/hudi-spark3.3.x)
The strategy configuration was canceled because "test-spark-java-tests.scala-2_12_spark3_1_hudi-" failed
test-spark-java-tests (scala-2.12, spark3.3, hudi-spark-datasource/hudi-spark3.3.x)
The operation was canceled.
test-spark-java-tests (scala-2.12, spark3.3, hudi-spark-datasource/hudi-spark3.3.x)
Cannot resolve conflicts for overlapping writes
test-spark-java-tests (scala-2.11, spark2.4, hudi-spark-datasource/hudi-spark2)
The strategy configuration was canceled because "test-spark-java-tests.scala-2_12_spark3_1_hudi-" failed
test-spark-java-tests (scala-2.11, spark2.4, hudi-spark-datasource/hudi-spark2)
The operation was canceled.
test-spark-java-tests (scala-2.13, spark3.5, hudi-spark-datasource/hudi-spark3.5.x)
The strategy configuration was canceled because "test-spark-java-tests.scala-2_12_spark3_1_hudi-" failed
test-spark-java-tests (scala-2.13, spark3.5, hudi-spark-datasource/hudi-spark3.5.x)
The operation was canceled.
test-spark-java-tests (scala-2.13, spark3.5, hudi-spark-datasource/hudi-spark3.5.x)
Cannot resolve conflicts for overlapping writes
test-spark-java-tests (scala-2.12, spark3.4, hudi-spark-datasource/hudi-spark3.4.x)
The strategy configuration was canceled because "test-spark-java-tests.scala-2_12_spark3_1_hudi-" failed
test-spark-java-tests (scala-2.12, spark3.4, hudi-spark-datasource/hudi-spark3.4.x)
The operation was canceled.
test-spark-java-tests (scala-2.12, spark3.4, hudi-spark-datasource/hudi-spark3.4.x)
Cannot resolve conflicts for overlapping writes
test-spark-java-tests (scala-2.12, spark3.5, hudi-spark-datasource/hudi-spark3.5.x)
The strategy configuration was canceled because "test-spark-java-tests.scala-2_12_spark3_1_hudi-" failed
test-spark-java-tests (scala-2.12, spark3.5, hudi-spark-datasource/hudi-spark3.5.x)
The operation was canceled.
test-spark-java-tests (scala-2.12, spark3.5, hudi-spark-datasource/hudi-spark3.5.x)
Cannot resolve conflicts for overlapping writes
test-spark-java11-17-java-tests (scala-2.13, spark3.5, hudi-spark-datasource/hudi-spark3.5.x)
Process completed with exit code 1.
test-spark-java11-17-java-tests (scala-2.13, spark3.5, hudi-spark-datasource/hudi-spark3.5.x)
Cannot resolve conflicts for overlapping writes
test-spark-java11-17-java-tests (scala-2.12, spark3.5, hudi-spark-datasource/hudi-spark3.5.x)
The strategy configuration was canceled because "test-spark-java11-17-java-tests.scala-2_13_spark3_5_hudi-" failed
test-spark-java11-17-java-tests (scala-2.12, spark3.5, hudi-spark-datasource/hudi-spark3.5.x)
The operation was canceled.
test-spark-java11-17-java-tests (scala-2.12, spark3.5, hudi-spark-datasource/hudi-spark3.5.x)
Cannot resolve conflicts for overlapping writes
validate-bundles (scala-2.12, flink1.17, spark3.3, spark3.3.2)
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'.
validate-bundles (scala-2.12, flink1.17, spark3.3, spark3.3.2)
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-java17-test (scala-2.12, flink1.18, spark3.4, spark3.4.0)
docker_test_java17.sh run_docker_tests Running Hudi maven tests on Docker
docker-java17-test (scala-2.12, flink1.18, spark3.4, spark3.4.0)
docker_test_java17.sh Running tests with Java 17
docker-java17-test (scala-2.12, flink1.18, spark3.4, spark3.4.0)
docker_test_java17.sh starting hadoop hdfs, hdfs report
docker-java17-test (scala-2.12, flink1.18, spark3.4, spark3.4.0)
docker_test_java17.sh starting datanode:3
docker-java17-test (scala-2.12, flink1.18, spark3.4, spark3.4.0)
docker_test_java17.sh starting datanode:2
docker-java17-test (scala-2.12, flink1.18, spark3.4, spark3.4.0)
docker_test_java17.sh starting datanode:1
docker-java17-test (scala-2.12, flink1.18, spark3.4, spark3.4.0)
docker_test_java17.sh starting hadoop hdfs
docker-java17-test (scala-2.12, flink1.18, spark3.4, spark3.4.0)
docker_test_java17.sh copying hadoop conf
docker-java17-test (scala-2.12, flink1.18, spark3.4, spark3.4.0)
docker_test_java17.sh Done building Hudi with Java 8
docker-java17-test (scala-2.12, flink1.18, spark3.4, spark3.4.0)
docker_test_java17.sh Building Hudi with Java 8
docker-java17-test (scala-2.13, flink1.18, spark3.5, spark3.5.0)
docker_test_java17.sh run_docker_tests Running Hudi maven tests on Docker
docker-java17-test (scala-2.13, flink1.18, spark3.5, spark3.5.0)
docker_test_java17.sh Running tests with Java 17
docker-java17-test (scala-2.13, flink1.18, spark3.5, spark3.5.0)
docker_test_java17.sh starting hadoop hdfs, hdfs report
docker-java17-test (scala-2.13, flink1.18, spark3.5, spark3.5.0)
docker_test_java17.sh starting datanode:3
docker-java17-test (scala-2.13, flink1.18, spark3.5, spark3.5.0)
docker_test_java17.sh starting datanode:2
docker-java17-test (scala-2.13, flink1.18, spark3.5, spark3.5.0)
docker_test_java17.sh starting datanode:1
docker-java17-test (scala-2.13, flink1.18, spark3.5, spark3.5.0)
docker_test_java17.sh starting hadoop hdfs
docker-java17-test (scala-2.13, flink1.18, spark3.5, spark3.5.0)
docker_test_java17.sh copying hadoop conf
docker-java17-test (scala-2.13, flink1.18, spark3.5, spark3.5.0)
docker_test_java17.sh Done building Hudi with Java 8
docker-java17-test (scala-2.13, flink1.18, spark3.5, spark3.5.0)
docker_test_java17.sh Building Hudi with Java 8
docker-java17-test (scala-2.12, flink1.18, spark3.5, spark3.5.0)
docker_test_java17.sh run_docker_tests Running Hudi maven tests on Docker
docker-java17-test (scala-2.12, flink1.18, spark3.5, spark3.5.0)
docker_test_java17.sh Running tests with Java 17
docker-java17-test (scala-2.12, flink1.18, spark3.5, spark3.5.0)
docker_test_java17.sh starting hadoop hdfs, hdfs report
docker-java17-test (scala-2.12, flink1.18, spark3.5, spark3.5.0)
docker_test_java17.sh starting datanode:3
docker-java17-test (scala-2.12, flink1.18, spark3.5, spark3.5.0)
docker_test_java17.sh starting datanode:2
docker-java17-test (scala-2.12, flink1.18, spark3.5, spark3.5.0)
docker_test_java17.sh starting datanode:1
docker-java17-test (scala-2.12, flink1.18, spark3.5, spark3.5.0)
docker_test_java17.sh starting hadoop hdfs
docker-java17-test (scala-2.12, flink1.18, spark3.5, spark3.5.0)
docker_test_java17.sh copying hadoop conf
docker-java17-test (scala-2.12, flink1.18, spark3.5, spark3.5.0)
docker_test_java17.sh Done building Hudi with Java 8
docker-java17-test (scala-2.12, flink1.18, spark3.5, spark3.5.0)
docker_test_java17.sh Building Hudi with Java 8
validate-bundles-java11 (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh done with deltastreamer
validate-bundles-java11 (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh running deltastreamer
validate-bundles-java11 (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh validating utilities slim bundle
validate-bundles-java11 (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh skip validating utilities bundle for non-spark2.4 & non-spark3.1 build
validate-bundles-java11 (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh done validating spark & hadoop-mr bundle
validate-bundles-java11 (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh spark & hadoop-mr bundles validation was successful.
validate-bundles-java11 (scala-2.13, flink1.18, spark3.5, spark3.5.0)
Use default java runtime under /opt/java/openjdk
validate-bundles-java11 (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh Writing sample data via Spark DataSource and run Hive Sync...
validate-bundles-java11 (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh setting up hive metastore for spark & hadoop-mr bundles validation
validate-bundles-java11 (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh validating spark & hadoop-mr bundle
validate-bundles-java11 (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh done with deltastreamer
validate-bundles-java11 (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh running deltastreamer
validate-bundles-java11 (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh validating utilities slim bundle
validate-bundles-java11 (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh skip validating utilities bundle for non-spark2.4 & non-spark3.1 build
validate-bundles-java11 (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh done validating spark & hadoop-mr bundle
validate-bundles-java11 (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh spark & hadoop-mr bundles validation was successful.
validate-bundles-java11 (scala-2.13, flink1.18, spark3.5, spark3.5.0)
Use default java runtime under /opt/java/openjdk
validate-bundles-java11 (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh Writing sample data via Spark DataSource and run Hive Sync...
validate-bundles-java11 (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh setting up hive metastore for spark & hadoop-mr bundles validation
validate-bundles-java11 (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh validating spark & hadoop-mr bundle
validate-bundles (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh done with deltastreamer
validate-bundles (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh running deltastreamer
validate-bundles (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh validating utilities slim bundle
validate-bundles (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh skip validating utilities bundle for non-spark2.4 & non-spark3.1 build
validate-bundles (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh done validating spark & hadoop-mr bundle
validate-bundles (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh spark & hadoop-mr bundles validation was successful.
validate-bundles (scala-2.13, flink1.18, spark3.5, spark3.5.0)
Use default java runtime under /opt/java/openjdk
validate-bundles (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh Writing sample data via Spark DataSource and run Hive Sync...
validate-bundles (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh setting up hive metastore for spark & hadoop-mr bundles validation
validate-bundles (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh validating spark & hadoop-mr bundle
validate-bundles (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh done with deltastreamer
validate-bundles (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh running deltastreamer
validate-bundles (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh validating utilities slim bundle
validate-bundles (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh skip validating utilities bundle for non-spark2.4 & non-spark3.1 build
validate-bundles (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh done validating spark & hadoop-mr bundle
validate-bundles (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh spark & hadoop-mr bundles validation was successful.
validate-bundles (scala-2.13, flink1.18, spark3.5, spark3.5.0)
Use default java runtime under /opt/java/openjdk
validate-bundles (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh Writing sample data via Spark DataSource and run Hive Sync...
validate-bundles (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh setting up hive metastore for spark & hadoop-mr bundles validation
validate-bundles (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh validating spark & hadoop-mr bundle
validate-bundles (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh done with deltastreamer
validate-bundles (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh running deltastreamer
validate-bundles (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh validating utilities slim bundle
validate-bundles (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh skip validating utilities bundle for non-spark2.4 & non-spark3.1 build
validate-bundles (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh done validating spark & hadoop-mr bundle
validate-bundles (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh spark & hadoop-mr bundles validation was successful.
validate-bundles (scala-2.13, flink1.18, spark3.5, spark3.5.0)
Use default java runtime under /opt/java/openjdk
validate-bundles (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh Writing sample data via Spark DataSource and run Hive Sync...
validate-bundles (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh setting up hive metastore for spark & hadoop-mr bundles validation
validate-bundles (scala-2.13, flink1.18, spark3.5, spark3.5.0)
validate.sh validating spark & hadoop-mr bundle
validate-bundles-java11 (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh validating utilities slim bundle
validate-bundles-java11 (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh skip validating utilities bundle for non-spark2.4 & non-spark3.1 build
validate-bundles-java11 (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh done validating spark & hadoop-mr bundle
validate-bundles-java11 (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh spark & hadoop-mr bundles validation was successful.
validate-bundles-java11 (scala-2.12, flink1.18, spark3.5, spark3.5.0)
Use default java runtime under /opt/java/openjdk
validate-bundles-java11 (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh Query and validate the results using HiveQL
validate-bundles-java11 (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh Query and validate the results using Spark SQL
validate-bundles-java11 (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh Writing sample data via Spark DataSource and run Hive Sync...
validate-bundles-java11 (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh setting up hive metastore for spark & hadoop-mr bundles validation
validate-bundles-java11 (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh validating spark & hadoop-mr bundle
validate-bundles-java11 (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh validating utilities slim bundle
validate-bundles-java11 (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh skip validating utilities bundle for non-spark2.4 & non-spark3.1 build
validate-bundles-java11 (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh done validating spark & hadoop-mr bundle
validate-bundles-java11 (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh spark & hadoop-mr bundles validation was successful.
validate-bundles-java11 (scala-2.12, flink1.18, spark3.5, spark3.5.0)
Use default java runtime under /opt/java/openjdk
validate-bundles-java11 (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh Query and validate the results using HiveQL
validate-bundles-java11 (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh Query and validate the results using Spark SQL
validate-bundles-java11 (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh Writing sample data via Spark DataSource and run Hive Sync...
validate-bundles-java11 (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh setting up hive metastore for spark & hadoop-mr bundles validation
validate-bundles-java11 (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh validating spark & hadoop-mr bundle
validate-bundles (scala-2.12, flink1.14, spark3.0, spark3.0.2)
validate.sh validating utilities slim bundle
validate-bundles (scala-2.12, flink1.14, spark3.0, spark3.0.2)
validate.sh skip validating utilities bundle for non-spark2.4 & non-spark3.1 build
validate-bundles (scala-2.12, flink1.14, spark3.0, spark3.0.2)
validate.sh done validating spark & hadoop-mr bundle
validate-bundles (scala-2.12, flink1.14, spark3.0, spark3.0.2)
validate.sh spark & hadoop-mr bundles validation was successful.
validate-bundles (scala-2.12, flink1.14, spark3.0, spark3.0.2)
Use default java runtime under /opt/java/openjdk
validate-bundles (scala-2.12, flink1.14, spark3.0, spark3.0.2)
validate.sh Query and validate the results using HiveQL
validate-bundles (scala-2.12, flink1.14, spark3.0, spark3.0.2)
validate.sh Query and validate the results using Spark SQL
validate-bundles (scala-2.12, flink1.14, spark3.0, spark3.0.2)
validate.sh Writing sample data via Spark DataSource and run Hive Sync...
validate-bundles (scala-2.12, flink1.14, spark3.0, spark3.0.2)
validate.sh setting up hive metastore for spark & hadoop-mr bundles validation
validate-bundles (scala-2.12, flink1.14, spark3.0, spark3.0.2)
validate.sh validating spark & hadoop-mr bundle
validate-bundles (scala-2.12, flink1.14, spark3.0, spark3.0.2)
validate.sh validating utilities slim bundle
validate-bundles (scala-2.12, flink1.14, spark3.0, spark3.0.2)
validate.sh skip validating utilities bundle for non-spark2.4 & non-spark3.1 build
validate-bundles (scala-2.12, flink1.14, spark3.0, spark3.0.2)
validate.sh done validating spark & hadoop-mr bundle
validate-bundles (scala-2.12, flink1.14, spark3.0, spark3.0.2)
validate.sh spark & hadoop-mr bundles validation was successful.
validate-bundles (scala-2.12, flink1.14, spark3.0, spark3.0.2)
Use default java runtime under /opt/java/openjdk
validate-bundles (scala-2.12, flink1.14, spark3.0, spark3.0.2)
validate.sh Query and validate the results using HiveQL
validate-bundles (scala-2.12, flink1.14, spark3.0, spark3.0.2)
validate.sh Query and validate the results using Spark SQL
validate-bundles (scala-2.12, flink1.14, spark3.0, spark3.0.2)
validate.sh Writing sample data via Spark DataSource and run Hive Sync...
validate-bundles (scala-2.12, flink1.14, spark3.0, spark3.0.2)
validate.sh setting up hive metastore for spark & hadoop-mr bundles validation
validate-bundles (scala-2.12, flink1.14, spark3.0, spark3.0.2)
validate.sh validating spark & hadoop-mr bundle
validate-bundles (scala-2.12, flink1.14, spark3.1, spark3.1.3)
validate.sh running deltastreamer
validate-bundles (scala-2.12, flink1.14, spark3.1, spark3.1.3)
validate.sh validating utilities bundle
validate-bundles (scala-2.12, flink1.14, spark3.1, spark3.1.3)
validate.sh done validating spark & hadoop-mr bundle
validate-bundles (scala-2.12, flink1.14, spark3.1, spark3.1.3)
validate.sh spark & hadoop-mr bundles validation was successful.
validate-bundles (scala-2.12, flink1.14, spark3.1, spark3.1.3)
Use default java runtime under /opt/java/openjdk
validate-bundles (scala-2.12, flink1.14, spark3.1, spark3.1.3)
validate.sh Query and validate the results using HiveQL
validate-bundles (scala-2.12, flink1.14, spark3.1, spark3.1.3)
validate.sh Query and validate the results using Spark SQL
validate-bundles (scala-2.12, flink1.14, spark3.1, spark3.1.3)
validate.sh Writing sample data via Spark DataSource and run Hive Sync...
validate-bundles (scala-2.12, flink1.14, spark3.1, spark3.1.3)
validate.sh setting up hive metastore for spark & hadoop-mr bundles validation
validate-bundles (scala-2.12, flink1.14, spark3.1, spark3.1.3)
validate.sh validating spark & hadoop-mr bundle
validate-bundles (scala-2.12, flink1.14, spark3.1, spark3.1.3)
validate.sh running deltastreamer
validate-bundles (scala-2.12, flink1.14, spark3.1, spark3.1.3)
validate.sh validating utilities bundle
validate-bundles (scala-2.12, flink1.14, spark3.1, spark3.1.3)
validate.sh done validating spark & hadoop-mr bundle
validate-bundles (scala-2.12, flink1.14, spark3.1, spark3.1.3)
validate.sh spark & hadoop-mr bundles validation was successful.
validate-bundles (scala-2.12, flink1.14, spark3.1, spark3.1.3)
Use default java runtime under /opt/java/openjdk
validate-bundles (scala-2.12, flink1.14, spark3.1, spark3.1.3)
validate.sh Query and validate the results using HiveQL
validate-bundles (scala-2.12, flink1.14, spark3.1, spark3.1.3)
validate.sh Query and validate the results using Spark SQL
validate-bundles (scala-2.12, flink1.14, spark3.1, spark3.1.3)
validate.sh Writing sample data via Spark DataSource and run Hive Sync...
validate-bundles (scala-2.12, flink1.14, spark3.1, spark3.1.3)
validate.sh setting up hive metastore for spark & hadoop-mr bundles validation
validate-bundles (scala-2.12, flink1.14, spark3.1, spark3.1.3)
validate.sh validating spark & hadoop-mr bundle
validate-bundles (scala-2.12, flink1.15, spark3.2, spark3.2.3)
validate.sh validating utilities slim bundle
validate-bundles (scala-2.12, flink1.15, spark3.2, spark3.2.3)
validate.sh skip validating utilities bundle for non-spark2.4 & non-spark3.1 build
validate-bundles (scala-2.12, flink1.15, spark3.2, spark3.2.3)
validate.sh done validating spark & hadoop-mr bundle
validate-bundles (scala-2.12, flink1.15, spark3.2, spark3.2.3)
validate.sh spark & hadoop-mr bundles validation was successful.
validate-bundles (scala-2.12, flink1.15, spark3.2, spark3.2.3)
Use default java runtime under /opt/java/openjdk
validate-bundles (scala-2.12, flink1.15, spark3.2, spark3.2.3)
validate.sh Query and validate the results using HiveQL
validate-bundles (scala-2.12, flink1.15, spark3.2, spark3.2.3)
validate.sh Query and validate the results using Spark SQL
validate-bundles (scala-2.12, flink1.15, spark3.2, spark3.2.3)
validate.sh Writing sample data via Spark DataSource and run Hive Sync...
validate-bundles (scala-2.12, flink1.15, spark3.2, spark3.2.3)
validate.sh setting up hive metastore for spark & hadoop-mr bundles validation
validate-bundles (scala-2.12, flink1.15, spark3.2, spark3.2.3)
validate.sh validating spark & hadoop-mr bundle
validate-bundles (scala-2.12, flink1.15, spark3.2, spark3.2.3)
validate.sh validating utilities slim bundle
validate-bundles (scala-2.12, flink1.15, spark3.2, spark3.2.3)
validate.sh skip validating utilities bundle for non-spark2.4 & non-spark3.1 build
validate-bundles (scala-2.12, flink1.15, spark3.2, spark3.2.3)
validate.sh done validating spark & hadoop-mr bundle
validate-bundles (scala-2.12, flink1.15, spark3.2, spark3.2.3)
validate.sh spark & hadoop-mr bundles validation was successful.
validate-bundles (scala-2.12, flink1.15, spark3.2, spark3.2.3)
Use default java runtime under /opt/java/openjdk
validate-bundles (scala-2.12, flink1.15, spark3.2, spark3.2.3)
validate.sh Query and validate the results using HiveQL
validate-bundles (scala-2.12, flink1.15, spark3.2, spark3.2.3)
validate.sh Query and validate the results using Spark SQL
validate-bundles (scala-2.12, flink1.15, spark3.2, spark3.2.3)
validate.sh Writing sample data via Spark DataSource and run Hive Sync...
validate-bundles (scala-2.12, flink1.15, spark3.2, spark3.2.3)
validate.sh setting up hive metastore for spark & hadoop-mr bundles validation
validate-bundles (scala-2.12, flink1.15, spark3.2, spark3.2.3)
validate.sh validating spark & hadoop-mr bundle
validate-bundles (scala-2.12, flink1.18, spark3.4, spark3.4.0)
validate.sh validating utilities slim bundle
validate-bundles (scala-2.12, flink1.18, spark3.4, spark3.4.0)
validate.sh skip validating utilities bundle for non-spark2.4 & non-spark3.1 build
validate-bundles (scala-2.12, flink1.18, spark3.4, spark3.4.0)
validate.sh done validating spark & hadoop-mr bundle
validate-bundles (scala-2.12, flink1.18, spark3.4, spark3.4.0)
validate.sh spark & hadoop-mr bundles validation was successful.
validate-bundles (scala-2.12, flink1.18, spark3.4, spark3.4.0)
Use default java runtime under /opt/java/openjdk
validate-bundles (scala-2.12, flink1.18, spark3.4, spark3.4.0)
validate.sh Query and validate the results using HiveQL
validate-bundles (scala-2.12, flink1.18, spark3.4, spark3.4.0)
validate.sh Query and validate the results using Spark SQL
validate-bundles (scala-2.12, flink1.18, spark3.4, spark3.4.0)
validate.sh Writing sample data via Spark DataSource and run Hive Sync...
validate-bundles (scala-2.12, flink1.18, spark3.4, spark3.4.0)
validate.sh setting up hive metastore for spark & hadoop-mr bundles validation
validate-bundles (scala-2.12, flink1.18, spark3.4, spark3.4.0)
validate.sh validating spark & hadoop-mr bundle
validate-bundles (scala-2.12, flink1.18, spark3.4, spark3.4.0)
validate.sh validating utilities slim bundle
validate-bundles (scala-2.12, flink1.18, spark3.4, spark3.4.0)
validate.sh skip validating utilities bundle for non-spark2.4 & non-spark3.1 build
validate-bundles (scala-2.12, flink1.18, spark3.4, spark3.4.0)
validate.sh done validating spark & hadoop-mr bundle
validate-bundles (scala-2.12, flink1.18, spark3.4, spark3.4.0)
validate.sh spark & hadoop-mr bundles validation was successful.
validate-bundles (scala-2.12, flink1.18, spark3.4, spark3.4.0)
Use default java runtime under /opt/java/openjdk
validate-bundles (scala-2.12, flink1.18, spark3.4, spark3.4.0)
validate.sh Query and validate the results using HiveQL
validate-bundles (scala-2.12, flink1.18, spark3.4, spark3.4.0)
validate.sh Query and validate the results using Spark SQL
validate-bundles (scala-2.12, flink1.18, spark3.4, spark3.4.0)
validate.sh Writing sample data via Spark DataSource and run Hive Sync...
validate-bundles (scala-2.12, flink1.18, spark3.4, spark3.4.0)
validate.sh setting up hive metastore for spark & hadoop-mr bundles validation
validate-bundles (scala-2.12, flink1.18, spark3.4, spark3.4.0)
validate.sh validating spark & hadoop-mr bundle
validate-bundles (scala-2.12, flink1.18, spark3.4, spark3.4.0)
validate.sh validating utilities slim bundle
validate-bundles (scala-2.12, flink1.18, spark3.4, spark3.4.0)
validate.sh skip validating utilities bundle for non-spark2.4 & non-spark3.1 build
validate-bundles (scala-2.12, flink1.18, spark3.4, spark3.4.0)
validate.sh done validating spark & hadoop-mr bundle
validate-bundles (scala-2.12, flink1.18, spark3.4, spark3.4.0)
validate.sh spark & hadoop-mr bundles validation was successful.
validate-bundles (scala-2.12, flink1.18, spark3.4, spark3.4.0)
Use default java runtime under /opt/java/openjdk
validate-bundles (scala-2.12, flink1.18, spark3.4, spark3.4.0)
validate.sh Query and validate the results using HiveQL
validate-bundles (scala-2.12, flink1.18, spark3.4, spark3.4.0)
validate.sh Query and validate the results using Spark SQL
validate-bundles (scala-2.12, flink1.18, spark3.4, spark3.4.0)
validate.sh Writing sample data via Spark DataSource and run Hive Sync...
validate-bundles (scala-2.12, flink1.18, spark3.4, spark3.4.0)
validate.sh setting up hive metastore for spark & hadoop-mr bundles validation
validate-bundles (scala-2.12, flink1.18, spark3.4, spark3.4.0)
validate.sh validating spark & hadoop-mr bundle
validate-bundles (scala-2.12, flink1.16, spark3.3, spark3.3.1)
validate.sh validating utilities slim bundle
validate-bundles (scala-2.12, flink1.16, spark3.3, spark3.3.1)
validate.sh skip validating utilities bundle for non-spark2.4 & non-spark3.1 build
validate-bundles (scala-2.12, flink1.16, spark3.3, spark3.3.1)
validate.sh done validating spark & hadoop-mr bundle
validate-bundles (scala-2.12, flink1.16, spark3.3, spark3.3.1)
validate.sh spark & hadoop-mr bundles validation was successful.
validate-bundles (scala-2.12, flink1.16, spark3.3, spark3.3.1)
Use default java runtime under /opt/java/openjdk
validate-bundles (scala-2.12, flink1.16, spark3.3, spark3.3.1)
validate.sh Query and validate the results using HiveQL
validate-bundles (scala-2.12, flink1.16, spark3.3, spark3.3.1)
validate.sh Query and validate the results using Spark SQL
validate-bundles (scala-2.12, flink1.16, spark3.3, spark3.3.1)
validate.sh Writing sample data via Spark DataSource and run Hive Sync...
validate-bundles (scala-2.12, flink1.16, spark3.3, spark3.3.1)
validate.sh setting up hive metastore for spark & hadoop-mr bundles validation
validate-bundles (scala-2.12, flink1.16, spark3.3, spark3.3.1)
validate.sh validating spark & hadoop-mr bundle
validate-bundles (scala-2.12, flink1.16, spark3.3, spark3.3.1)
validate.sh validating utilities slim bundle
validate-bundles (scala-2.12, flink1.16, spark3.3, spark3.3.1)
validate.sh skip validating utilities bundle for non-spark2.4 & non-spark3.1 build
validate-bundles (scala-2.12, flink1.16, spark3.3, spark3.3.1)
validate.sh done validating spark & hadoop-mr bundle
validate-bundles (scala-2.12, flink1.16, spark3.3, spark3.3.1)
validate.sh spark & hadoop-mr bundles validation was successful.
validate-bundles (scala-2.12, flink1.16, spark3.3, spark3.3.1)
Use default java runtime under /opt/java/openjdk
validate-bundles (scala-2.12, flink1.16, spark3.3, spark3.3.1)
validate.sh Query and validate the results using HiveQL
validate-bundles (scala-2.12, flink1.16, spark3.3, spark3.3.1)
validate.sh Query and validate the results using Spark SQL
validate-bundles (scala-2.12, flink1.16, spark3.3, spark3.3.1)
validate.sh Writing sample data via Spark DataSource and run Hive Sync...
validate-bundles (scala-2.12, flink1.16, spark3.3, spark3.3.1)
validate.sh setting up hive metastore for spark & hadoop-mr bundles validation
validate-bundles (scala-2.12, flink1.16, spark3.3, spark3.3.1)
validate.sh validating spark & hadoop-mr bundle
validate-bundles (scala-2.12, flink1.16, spark3.3, spark3.3.1)
validate.sh validating utilities slim bundle
validate-bundles (scala-2.12, flink1.16, spark3.3, spark3.3.1)
validate.sh skip validating utilities bundle for non-spark2.4 & non-spark3.1 build
validate-bundles (scala-2.12, flink1.16, spark3.3, spark3.3.1)
validate.sh done validating spark & hadoop-mr bundle
validate-bundles (scala-2.12, flink1.16, spark3.3, spark3.3.1)
validate.sh spark & hadoop-mr bundles validation was successful.
validate-bundles (scala-2.12, flink1.16, spark3.3, spark3.3.1)
Use default java runtime under /opt/java/openjdk
validate-bundles (scala-2.12, flink1.16, spark3.3, spark3.3.1)
validate.sh Query and validate the results using HiveQL
validate-bundles (scala-2.12, flink1.16, spark3.3, spark3.3.1)
validate.sh Query and validate the results using Spark SQL
validate-bundles (scala-2.12, flink1.16, spark3.3, spark3.3.1)
validate.sh Writing sample data via Spark DataSource and run Hive Sync...
validate-bundles (scala-2.12, flink1.16, spark3.3, spark3.3.1)
validate.sh setting up hive metastore for spark & hadoop-mr bundles validation
validate-bundles (scala-2.12, flink1.16, spark3.3, spark3.3.1)
validate.sh validating spark & hadoop-mr bundle
validate-bundles (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh validating utilities slim bundle
validate-bundles (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh skip validating utilities bundle for non-spark2.4 & non-spark3.1 build
validate-bundles (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh done validating spark & hadoop-mr bundle
validate-bundles (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh spark & hadoop-mr bundles validation was successful.
validate-bundles (scala-2.12, flink1.18, spark3.5, spark3.5.0)
Use default java runtime under /opt/java/openjdk
validate-bundles (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh Query and validate the results using HiveQL
validate-bundles (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh Query and validate the results using Spark SQL
validate-bundles (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh Writing sample data via Spark DataSource and run Hive Sync...
validate-bundles (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh setting up hive metastore for spark & hadoop-mr bundles validation
validate-bundles (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh validating spark & hadoop-mr bundle
validate-bundles (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh validating utilities slim bundle
validate-bundles (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh skip validating utilities bundle for non-spark2.4 & non-spark3.1 build
validate-bundles (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh done validating spark & hadoop-mr bundle
validate-bundles (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh spark & hadoop-mr bundles validation was successful.
validate-bundles (scala-2.12, flink1.18, spark3.5, spark3.5.0)
Use default java runtime under /opt/java/openjdk
validate-bundles (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh Query and validate the results using HiveQL
validate-bundles (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh Query and validate the results using Spark SQL
validate-bundles (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh Writing sample data via Spark DataSource and run Hive Sync...
validate-bundles (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh setting up hive metastore for spark & hadoop-mr bundles validation
validate-bundles (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh validating spark & hadoop-mr bundle
validate-bundles (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh validating utilities slim bundle
validate-bundles (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh skip validating utilities bundle for non-spark2.4 & non-spark3.1 build
validate-bundles (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh done validating spark & hadoop-mr bundle
validate-bundles (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh spark & hadoop-mr bundles validation was successful.
validate-bundles (scala-2.12, flink1.18, spark3.5, spark3.5.0)
Use default java runtime under /opt/java/openjdk
validate-bundles (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh Query and validate the results using HiveQL
validate-bundles (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh Query and validate the results using Spark SQL
validate-bundles (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh Writing sample data via Spark DataSource and run Hive Sync...
validate-bundles (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh setting up hive metastore for spark & hadoop-mr bundles validation
validate-bundles (scala-2.12, flink1.18, spark3.5, spark3.5.0)
validate.sh validating spark & hadoop-mr bundle
validate-bundles (scala-2.12, flink1.17, spark3.3, spark3.3.2)
validate.sh validating utilities slim bundle
validate-bundles (scala-2.12, flink1.17, spark3.3, spark3.3.2)
validate.sh skip validating utilities bundle for non-spark2.4 & non-spark3.1 build
validate-bundles (scala-2.12, flink1.17, spark3.3, spark3.3.2)
validate.sh done validating spark & hadoop-mr bundle
validate-bundles (scala-2.12, flink1.17, spark3.3, spark3.3.2)
validate.sh spark & hadoop-mr bundles validation was successful.
validate-bundles (scala-2.12, flink1.17, spark3.3, spark3.3.2)
Use default java runtime under /opt/java/openjdk
validate-bundles (scala-2.12, flink1.17, spark3.3, spark3.3.2)
validate.sh Query and validate the results using HiveQL
validate-bundles (scala-2.12, flink1.17, spark3.3, spark3.3.2)
validate.sh Query and validate the results using Spark SQL
validate-bundles (scala-2.12, flink1.17, spark3.3, spark3.3.2)
validate.sh Writing sample data via Spark DataSource and run Hive Sync...
validate-bundles (scala-2.12, flink1.17, spark3.3, spark3.3.2)
validate.sh setting up hive metastore for spark & hadoop-mr bundles validation
validate-bundles (scala-2.12, flink1.17, spark3.3, spark3.3.2)
validate.sh validating spark & hadoop-mr bundle
validate-bundles (scala-2.12, flink1.17, spark3.3, spark3.3.2)
validate.sh validating utilities slim bundle
validate-bundles (scala-2.12, flink1.17, spark3.3, spark3.3.2)
validate.sh skip validating utilities bundle for non-spark2.4 & non-spark3.1 build
validate-bundles (scala-2.12, flink1.17, spark3.3, spark3.3.2)
validate.sh done validating spark & hadoop-mr bundle
validate-bundles (scala-2.12, flink1.17, spark3.3, spark3.3.2)
validate.sh spark & hadoop-mr bundles validation was successful.
validate-bundles (scala-2.12, flink1.17, spark3.3, spark3.3.2)
Use default java runtime under /opt/java/openjdk
validate-bundles (scala-2.12, flink1.17, spark3.3, spark3.3.2)
validate.sh Query and validate the results using HiveQL
validate-bundles (scala-2.12, flink1.17, spark3.3, spark3.3.2)
validate.sh Query and validate the results using Spark SQL
validate-bundles (scala-2.12, flink1.17, spark3.3, spark3.3.2)
validate.sh Writing sample data via Spark DataSource and run Hive Sync...
validate-bundles (scala-2.12, flink1.17, spark3.3, spark3.3.2)
validate.sh setting up hive metastore for spark & hadoop-mr bundles validation
validate-bundles (scala-2.12, flink1.17, spark3.3, spark3.3.2)
validate.sh validating spark & hadoop-mr bundle
validate-bundles (scala-2.12, flink1.17, spark3.3, spark3.3.2)
validate.sh validating utilities slim bundle
validate-bundles (scala-2.12, flink1.17, spark3.3, spark3.3.2)
validate.sh skip validating utilities bundle for non-spark2.4 & non-spark3.1 build
validate-bundles (scala-2.12, flink1.17, spark3.3, spark3.3.2)
validate.sh done validating spark & hadoop-mr bundle
validate-bundles (scala-2.12, flink1.17, spark3.3, spark3.3.2)
validate.sh spark & hadoop-mr bundles validation was successful.
validate-bundles (scala-2.12, flink1.17, spark3.3, spark3.3.2)
Use default java runtime under /opt/java/openjdk
validate-bundles (scala-2.12, flink1.17, spark3.3, spark3.3.2)
validate.sh Query and validate the results using HiveQL
validate-bundles (scala-2.12, flink1.17, spark3.3, spark3.3.2)
validate.sh Query and validate the results using Spark SQL
validate-bundles (scala-2.12, flink1.17, spark3.3, spark3.3.2)
validate.sh Writing sample data via Spark DataSource and run Hive Sync...
validate-bundles (scala-2.12, flink1.17, spark3.3, spark3.3.2)
validate.sh setting up hive metastore for spark & hadoop-mr bundles validation
validate-bundles (scala-2.12, flink1.17, spark3.3, spark3.3.2)
validate.sh validating spark & hadoop-mr bundle