[HUDI-6758] Fixing deducing spurious log blocks due to spark retries #27906
Triggered via pull request
September 9, 2023 03:22
nsivabalan
Status
Success
Total duration
4h 46m 51s
Artifacts
–
bot.yml
on: pull_request
validate-source
35s
Matrix: docker-java17-test
Matrix: integration-tests
Matrix: test-flink
Matrix: test-hudi-hadoop-mr-and-hudi-java-client
Matrix: test-spark-java17
Matrix: test-spark
Matrix: validate-bundles
Matrix: validate-release-candidate-bundles
Annotations
6 errors and 50 warnings
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test-spark (scala-2.12, spark3.3, hudi-spark-datasource/hudi-spark3.3.x)
Cannot resolve conflicts for overlapping writes
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test-spark-java17 (scala-2.12, spark3.3, hudi-spark-datasource/hudi-spark3.3.x)
Cannot resolve conflicts for overlapping writes
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test-spark (scala-2.12, spark3.1, hudi-spark-datasource/hudi-spark3.1.x)
Cannot resolve conflicts for overlapping writes
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test-spark (scala-2.12, spark3.4, hudi-spark-datasource/hudi-spark3.4.x)
Cannot resolve conflicts for overlapping writes
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test-spark (scala-2.11, spark2.4, hudi-spark-datasource/hudi-spark2)
Cannot resolve conflicts for overlapping writes
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test-spark-java17 (scala-2.12, spark3.4, hudi-spark-datasource/hudi-spark3.4.x)
Cannot resolve conflicts for overlapping writes
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docker-java17-test (flink1.17, spark3.4, spark3.4.0)
docker_test_java17.sh Building Hudi with Java 8
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docker-java17-test (flink1.17, spark3.4, spark3.4.0)
docker_test_java17.sh Done building Hudi with Java 8
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docker-java17-test (flink1.17, spark3.4, spark3.4.0)
docker_test_java17.sh copying hadoop conf
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docker-java17-test (flink1.17, spark3.4, spark3.4.0)
docker_test_java17.sh starting hadoop hdfs
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docker-java17-test (flink1.17, spark3.4, spark3.4.0)
docker_test_java17.sh starting datanode:1
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docker-java17-test (flink1.17, spark3.4, spark3.4.0)
docker_test_java17.sh starting datanode:2
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docker-java17-test (flink1.17, spark3.4, spark3.4.0)
docker_test_java17.sh starting datanode:3
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docker-java17-test (flink1.17, spark3.4, spark3.4.0)
docker_test_java17.sh starting hadoop hdfs, hdfs report
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docker-java17-test (flink1.17, spark3.4, spark3.4.0)
docker_test_java17.sh Running tests with Java 17
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docker-java17-test (flink1.17, spark3.4, spark3.4.0)
docker_test_java17.sh run_docker_tests Running Hudi maven tests on Docker
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validate-bundles (flink1.16, spark3.3, spark3.3.2)
validate.sh validating spark & hadoop-mr bundle
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validate-bundles (flink1.16, spark3.3, spark3.3.2)
validate.sh setting up hive metastore for spark & hadoop-mr bundles validation
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validate-bundles (flink1.16, spark3.3, spark3.3.2)
validate.sh Writing sample data via Spark DataSource and run Hive Sync...
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validate-bundles (flink1.16, spark3.3, spark3.3.2)
validate.sh Query and validate the results using Spark SQL
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validate-bundles (flink1.16, spark3.3, spark3.3.2)
validate.sh Query and validate the results using HiveQL
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validate-bundles (flink1.16, spark3.3, spark3.3.2)
Use default java runtime under /opt/java/openjdk
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validate-bundles (flink1.16, spark3.3, spark3.3.2)
validate.sh spark & hadoop-mr bundles validation was successful.
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validate-bundles (flink1.16, spark3.3, spark3.3.2)
validate.sh done validating spark & hadoop-mr bundle
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validate-bundles (flink1.16, spark3.3, spark3.3.2)
validate.sh skip validating utilities bundle for non-spark2.4 & non-spark3.1 build
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validate-bundles (flink1.16, spark3.3, spark3.3.2)
validate.sh validating utilities slim bundle
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validate-bundles (flink1.17, spark3.4, spark3.4.0)
validate.sh validating spark & hadoop-mr bundle
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validate-bundles (flink1.17, spark3.4, spark3.4.0)
validate.sh setting up hive metastore for spark & hadoop-mr bundles validation
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validate-bundles (flink1.17, spark3.4, spark3.4.0)
validate.sh Writing sample data via Spark DataSource and run Hive Sync...
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validate-bundles (flink1.17, spark3.4, spark3.4.0)
validate.sh Query and validate the results using Spark SQL
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validate-bundles (flink1.17, spark3.4, spark3.4.0)
validate.sh Query and validate the results using HiveQL
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validate-bundles (flink1.17, spark3.4, spark3.4.0)
Use default java runtime under /opt/java/openjdk
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validate-bundles (flink1.17, spark3.4, spark3.4.0)
validate.sh spark & hadoop-mr bundles validation was successful.
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validate-bundles (flink1.17, spark3.4, spark3.4.0)
validate.sh done validating spark & hadoop-mr bundle
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validate-bundles (flink1.17, spark3.4, spark3.4.0)
validate.sh skip validating utilities bundle for non-spark2.4 & non-spark3.1 build
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validate-bundles (flink1.17, spark3.4, spark3.4.0)
validate.sh validating utilities slim bundle
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validate-bundles (flink1.17, spark3.3, spark3.3.2)
validate.sh validating spark & hadoop-mr bundle
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validate-bundles (flink1.17, spark3.3, spark3.3.2)
validate.sh setting up hive metastore for spark & hadoop-mr bundles validation
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validate-bundles (flink1.17, spark3.3, spark3.3.2)
validate.sh Writing sample data via Spark DataSource and run Hive Sync...
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validate-bundles (flink1.17, spark3.3, spark3.3.2)
validate.sh Query and validate the results using Spark SQL
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validate-bundles (flink1.17, spark3.3, spark3.3.2)
validate.sh Query and validate the results using HiveQL
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validate-bundles (flink1.17, spark3.3, spark3.3.2)
Use default java runtime under /opt/java/openjdk
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validate-bundles (flink1.17, spark3.3, spark3.3.2)
validate.sh spark & hadoop-mr bundles validation was successful.
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validate-bundles (flink1.17, spark3.3, spark3.3.2)
validate.sh done validating spark & hadoop-mr bundle
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validate-bundles (flink1.17, spark3.3, spark3.3.2)
validate.sh skip validating utilities bundle for non-spark2.4 & non-spark3.1 build
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validate-bundles (flink1.17, spark3.3, spark3.3.2)
validate.sh validating utilities slim bundle
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validate-bundles (flink1.15, spark3.3, spark3.3.1)
validate.sh validating spark & hadoop-mr bundle
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validate-bundles (flink1.15, spark3.3, spark3.3.1)
validate.sh setting up hive metastore for spark & hadoop-mr bundles validation
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validate-bundles (flink1.15, spark3.3, spark3.3.1)
validate.sh Writing sample data via Spark DataSource and run Hive Sync...
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validate-bundles (flink1.15, spark3.3, spark3.3.1)
validate.sh Query and validate the results using Spark SQL
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validate-bundles (flink1.15, spark3.3, spark3.3.1)
validate.sh Query and validate the results using HiveQL
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validate-bundles (flink1.15, spark3.3, spark3.3.1)
Use default java runtime under /opt/java/openjdk
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validate-bundles (flink1.15, spark3.3, spark3.3.1)
validate.sh spark & hadoop-mr bundles validation was successful.
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validate-bundles (flink1.15, spark3.3, spark3.3.1)
validate.sh done validating spark & hadoop-mr bundle
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validate-bundles (flink1.15, spark3.3, spark3.3.1)
validate.sh skip validating utilities bundle for non-spark2.4 & non-spark3.1 build
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validate-bundles (flink1.15, spark3.3, spark3.3.1)
validate.sh validating utilities slim bundle
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