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[HUDI-5533] Support spark columns comments #26912

[HUDI-5533] Support spark columns comments

[HUDI-5533] Support spark columns comments #26912

Triggered via pull request July 29, 2023 21:53
Status Failure
Total duration 1h 25m 40s
Artifacts

bot.yml

on: pull_request
validate-source
28s
validate-source
Matrix: docker-java17-test
Matrix: integration-tests
Matrix: test-spark-java17
Matrix: test-spark
Matrix: validate-bundles
Matrix: validate-release-candidate-bundles
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12 errors and 50 warnings
test-spark (scala-2.12, spark3.1, hudi-spark-datasource/hudi-spark3.1.x)
Process completed with exit code 1.
test-spark (scala-2.11, spark2.4, hudi-spark-datasource/hudi-spark2)
The job was canceled because "scala-2_12_spark3_1_hudi-spark-datasource_hudi-spark3_1_x" failed.
test-spark (scala-2.11, spark2.4, hudi-spark-datasource/hudi-spark2)
The operation was canceled.
test-spark (scala-2.12, spark3.0, hudi-spark-datasource/hudi-spark3.0.x)
The job was canceled because "scala-2_12_spark3_1_hudi-spark-datasource_hudi-spark3_1_x" failed.
test-spark (scala-2.12, spark3.3, hudi-spark-datasource/hudi-spark3.3.x)
The job was canceled because "scala-2_12_spark3_1_hudi-spark-datasource_hudi-spark3_1_x" failed.
test-spark (scala-2.12, spark3.4, hudi-spark-datasource/hudi-spark3.4.x)
The job was canceled because "scala-2_12_spark3_1_hudi-spark-datasource_hudi-spark3_1_x" failed.
test-spark-java17 (scala-2.12, spark3.3, hudi-spark-datasource/hudi-spark3.3.x)
Process completed with exit code 1.
test-spark-java17 (scala-2.12, spark3.4, hudi-spark-datasource/hudi-spark3.4.x)
The job was canceled because "scala-2_12_spark3_3_hudi-spark-datasource_hudi-spark3_3_x" failed.
docker-java17-test (flink1.17, spark3.4, spark3.4.0)
docker_test_java17.sh Building Hudi with Java 8
docker-java17-test (flink1.17, spark3.4, spark3.4.0)
docker_test_java17.sh Done building Hudi with Java 8
docker-java17-test (flink1.17, spark3.4, spark3.4.0)
docker_test_java17.sh copying hadoop conf
docker-java17-test (flink1.17, spark3.4, spark3.4.0)
docker_test_java17.sh starting hadoop hdfs
docker-java17-test (flink1.17, spark3.4, spark3.4.0)
docker_test_java17.sh starting datanode:1
docker-java17-test (flink1.17, spark3.4, spark3.4.0)
docker_test_java17.sh starting datanode:2
docker-java17-test (flink1.17, spark3.4, spark3.4.0)
docker_test_java17.sh starting datanode:3
docker-java17-test (flink1.17, spark3.4, spark3.4.0)
docker_test_java17.sh starting hadoop hdfs, hdfs report
docker-java17-test (flink1.17, spark3.4, spark3.4.0)
docker_test_java17.sh Running tests with Java 17
docker-java17-test (flink1.17, spark3.4, spark3.4.0)
docker_test_java17.sh run_docker_tests Running Hudi maven tests on Docker
validate-bundles (flink1.17, spark3.3, spark3.3.2)
validate.sh validating spark & hadoop-mr bundle
validate-bundles (flink1.17, spark3.3, spark3.3.2)
validate.sh setting up hive metastore for spark & hadoop-mr bundles validation
validate-bundles (flink1.17, spark3.3, spark3.3.2)
validate.sh Writing sample data via Spark DataSource and run Hive Sync...
validate-bundles (flink1.17, spark3.3, spark3.3.2)
validate.sh Query and validate the results using Spark SQL
validate-bundles (flink1.17, spark3.3, spark3.3.2)
validate.sh Query and validate the results using HiveQL
validate-bundles (flink1.17, spark3.3, spark3.3.2)
Use default java runtime under /opt/java/openjdk
validate-bundles (flink1.17, spark3.3, spark3.3.2)
validate.sh spark & hadoop-mr bundles validation was successful.
validate-bundles (flink1.17, spark3.3, spark3.3.2)
validate.sh done validating spark & hadoop-mr bundle
validate-bundles (flink1.17, spark3.3, spark3.3.2)
validate.sh skip validating utilities bundle for non-spark2.4 & non-spark3.1 build
validate-bundles (flink1.17, spark3.3, spark3.3.2)
validate.sh validating utilities slim bundle
validate-bundles (flink1.16, spark3.3, spark3.3.2)
validate.sh validating spark & hadoop-mr bundle
validate-bundles (flink1.16, spark3.3, spark3.3.2)
validate.sh setting up hive metastore for spark & hadoop-mr bundles validation
validate-bundles (flink1.16, spark3.3, spark3.3.2)
validate.sh Writing sample data via Spark DataSource and run Hive Sync...
validate-bundles (flink1.16, spark3.3, spark3.3.2)
validate.sh Query and validate the results using Spark SQL
validate-bundles (flink1.16, spark3.3, spark3.3.2)
validate.sh Query and validate the results using HiveQL
validate-bundles (flink1.16, spark3.3, spark3.3.2)
Use default java runtime under /opt/java/openjdk
validate-bundles (flink1.16, spark3.3, spark3.3.2)
validate.sh spark & hadoop-mr bundles validation was successful.
validate-bundles (flink1.16, spark3.3, spark3.3.2)
validate.sh done validating spark & hadoop-mr bundle
validate-bundles (flink1.16, spark3.3, spark3.3.2)
validate.sh skip validating utilities bundle for non-spark2.4 & non-spark3.1 build
validate-bundles (flink1.16, spark3.3, spark3.3.2)
validate.sh validating utilities slim bundle
validate-bundles (flink1.17, spark3.4, spark3.4.0)
validate.sh validating spark & hadoop-mr bundle
validate-bundles (flink1.17, spark3.4, spark3.4.0)
validate.sh setting up hive metastore for spark & hadoop-mr bundles validation
validate-bundles (flink1.17, spark3.4, spark3.4.0)
validate.sh Writing sample data via Spark DataSource and run Hive Sync...
validate-bundles (flink1.17, spark3.4, spark3.4.0)
validate.sh Query and validate the results using Spark SQL
validate-bundles (flink1.17, spark3.4, spark3.4.0)
validate.sh Query and validate the results using HiveQL
validate-bundles (flink1.17, spark3.4, spark3.4.0)
Use default java runtime under /opt/java/openjdk
validate-bundles (flink1.17, spark3.4, spark3.4.0)
validate.sh spark & hadoop-mr bundles validation was successful.
validate-bundles (flink1.17, spark3.4, spark3.4.0)
validate.sh done validating spark & hadoop-mr bundle
validate-bundles (flink1.17, spark3.4, spark3.4.0)
validate.sh skip validating utilities bundle for non-spark2.4 & non-spark3.1 build
validate-bundles (flink1.17, spark3.4, spark3.4.0)
validate.sh validating utilities slim bundle
validate-bundles (flink1.15, spark3.3, spark3.3.1)
validate.sh validating spark & hadoop-mr bundle
validate-bundles (flink1.15, spark3.3, spark3.3.1)
validate.sh setting up hive metastore for spark & hadoop-mr bundles validation
validate-bundles (flink1.15, spark3.3, spark3.3.1)
validate.sh Writing sample data via Spark DataSource and run Hive Sync...
validate-bundles (flink1.15, spark3.3, spark3.3.1)
validate.sh Query and validate the results using Spark SQL
validate-bundles (flink1.15, spark3.3, spark3.3.1)
validate.sh Query and validate the results using HiveQL
validate-bundles (flink1.15, spark3.3, spark3.3.1)
Use default java runtime under /opt/java/openjdk
validate-bundles (flink1.15, spark3.3, spark3.3.1)
validate.sh spark & hadoop-mr bundles validation was successful.
validate-bundles (flink1.15, spark3.3, spark3.3.1)
validate.sh done validating spark & hadoop-mr bundle
validate-bundles (flink1.15, spark3.3, spark3.3.1)
validate.sh skip validating utilities bundle for non-spark2.4 & non-spark3.1 build
validate-bundles (flink1.15, spark3.3, spark3.3.1)
validate.sh validating utilities slim bundle