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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2020/06/25 00:26:09 UTC
Build failed in Jenkins: beam_PostCommit_XVR_Spark #1004
See <https://ci-beam.apache.org/job/beam_PostCommit_XVR_Spark/1004/display/redirect?page=changes>
Changes:
[kcweaver] [BEAM-10257] Add option defaults for Spark Python tests
[kcweaver] Revert "Fix state handler for missing service descriptor."
[fuyuwei] [BEAM-9890] Support BIT_AND aggregation function in Beam SQL and added
[Chamikara Madhusanka Jayalath] Sends an empty response to the runner instead of failing for
[daniel.o.programmer] [BEAM-9935] Counting empty splitpoints as nil in Go DataSource.
------------------------------------------
[...truncated 498.74 KB...]
apache_beam.runners.portability.portable_runner: DEBUG: Runner option 'output_executable_path' was already added
apache_beam.runners.portability.portable_runner: DEBUG: Runner option 'sdk_worker_parallelism' was already added
apache_beam.runners.portability.portable_runner: DEBUG: Runner option 'dataflow_kms_key' was already added
apache_beam.runners.portability.portable_runner: DEBUG: Runner option 'enable_streaming_engine' was already added
apache_beam.runners.portability.portable_runner: DEBUG: Runner option 'project' was already added
apache_beam.runners.portability.portable_runner: DEBUG: Runner option 'worker_region' was already added
apache_beam.runners.portability.portable_runner: DEBUG: Runner option 'worker_zone' was already added
apache_beam.runners.portability.portable_runner: DEBUG: Runner option 'zone' was already added
apache_beam.runners.portability.portable_runner: DEBUG: Runner option 'files_to_stage' was already added
apache_beam.runners.portability.portable_runner: DEBUG: Runner option 'streaming' was already added
apache_beam.runners.portability.portable_runner: DEBUG: Runner option 'experiments' was already added
apache_beam.runners.portability.portable_runner: INFO: Job state changed to STOPPED
apache_beam.runners.portability.portable_runner: INFO: Job state changed to STARTING
apache_beam.runners.portability.portable_runner: INFO: Job state changed to RUNNING
root: DEBUG: org.apache.spark.SparkException: Only one SparkContext may be running in this JVM (see SPARK-2243). To ignore this error, set spark.driver.allowMultipleContexts = true. The currently running SparkContext was created at:
org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
org.apache.beam.runners.spark.translation.SparkContextFactory.createSparkContext(SparkContextFactory.java:98)
org.apache.beam.runners.spark.translation.SparkContextFactory.getSparkContext(SparkContextFactory.java:64)
org.apache.beam.runners.spark.SparkPipelineRunner.run(SparkPipelineRunner.java:109)
org.apache.beam.runners.jobsubmission.JobInvocation.runPipeline(JobInvocation.java:83)
org.apache.beam.vendor.guava.v26_0_jre.com.google.common.util.concurrent.TrustedListenableFutureTask$TrustedFutureInterruptibleTask.runInterruptibly(TrustedListenableFutureTask.java:125)
org.apache.beam.vendor.guava.v26_0_jre.com.google.common.util.concurrent.InterruptibleTask.run(InterruptibleTask.java:57)
org.apache.beam.vendor.guava.v26_0_jre.com.google.common.util.concurrent.TrustedListenableFutureTask.run(TrustedListenableFutureTask.java:78)
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
java.lang.Thread.run(Thread.java:748)
at org.apache.spark.SparkContext$$anonfun$assertNoOtherContextIsRunning$2.apply(SparkContext.scala:2483)
at org.apache.spark.SparkContext$$anonfun$assertNoOtherContextIsRunning$2.apply(SparkContext.scala:2479)
at scala.Option.foreach(Option.scala:257)
at org.apache.spark.SparkContext$.assertNoOtherContextIsRunning(SparkContext.scala:2479)
at org.apache.spark.SparkContext$.markPartiallyConstructed(SparkContext.scala:2568)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:85)
at org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
at org.apache.beam.runners.spark.translation.SparkContextFactory.createSparkContext(SparkContextFactory.java:98)
at org.apache.beam.runners.spark.translation.SparkContextFactory.getSparkContext(SparkContextFactory.java:64)
at org.apache.beam.runners.spark.SparkPipelineRunner.run(SparkPipelineRunner.java:109)
at org.apache.beam.runners.jobsubmission.JobInvocation.runPipeline(JobInvocation.java:83)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.util.concurrent.TrustedListenableFutureTask$TrustedFutureInterruptibleTask.runInterruptibly(TrustedListenableFutureTask.java:125)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.util.concurrent.InterruptibleTask.run(InterruptibleTask.java:57)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.util.concurrent.TrustedListenableFutureTask.run(TrustedListenableFutureTask.java:78)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
root: ERROR: org.apache.spark.SparkException: Only one SparkContext may be running in this JVM (see SPARK-2243). To ignore this error, set spark.driver.allowMultipleContexts = true. The currently running SparkContext was created at:
org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
org.apache.beam.runners.spark.translation.SparkContextFactory.createSparkContext(SparkContextFactory.java:98)
org.apache.beam.runners.spark.translation.SparkContextFactory.getSparkContext(SparkContextFactory.java:64)
org.apache.beam.runners.spark.SparkPipelineRunner.run(SparkPipelineRunner.java:109)
org.apache.beam.runners.jobsubmission.JobInvocation.runPipeline(JobInvocation.java:83)
org.apache.beam.vendor.guava.v26_0_jre.com.google.common.util.concurrent.TrustedListenableFutureTask$TrustedFutureInterruptibleTask.runInterruptibly(TrustedListenableFutureTask.java:125)
org.apache.beam.vendor.guava.v26_0_jre.com.google.common.util.concurrent.InterruptibleTask.run(InterruptibleTask.java:57)
org.apache.beam.vendor.guava.v26_0_jre.com.google.common.util.concurrent.TrustedListenableFutureTask.run(TrustedListenableFutureTask.java:78)
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
java.lang.Thread.run(Thread.java:748)
apache_beam.runners.portability.portable_runner: INFO: Job state changed to FAILED
--------------------- >> end captured logging << ---------------------
======================================================================
ERROR: test_zetasql_generate_data (apache_beam.transforms.sql_test.SqlTransformTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "<https://ci-beam.apache.org/job/beam_PostCommit_XVR_Spark/ws/src/sdks/python/apache_beam/transforms/sql_test.py",> line 158, in test_zetasql_generate_data
assert_that(out, equal_to([(1, "foo", 3.14)]))
File "<https://ci-beam.apache.org/job/beam_PostCommit_XVR_Spark/ws/src/sdks/python/apache_beam/pipeline.py",> line 547, in __exit__
self.run().wait_until_finish()
File "<https://ci-beam.apache.org/job/beam_PostCommit_XVR_Spark/ws/src/sdks/python/apache_beam/testing/test_pipeline.py",> line 114, in run
state = result.wait_until_finish()
File "<https://ci-beam.apache.org/job/beam_PostCommit_XVR_Spark/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 546, in wait_until_finish
raise self._runtime_exception
RuntimeError: Pipeline BeamApp-jenkins-0625002604-4e4c022c_f5b8ac5c-64fb-463d-a182-ea53ac264b41 failed in state FAILED: org.apache.spark.SparkException: Only one SparkContext may be running in this JVM (see SPARK-2243). To ignore this error, set spark.driver.allowMultipleContexts = true. The currently running SparkContext was created at:
org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
org.apache.beam.runners.spark.translation.SparkContextFactory.createSparkContext(SparkContextFactory.java:98)
org.apache.beam.runners.spark.translation.SparkContextFactory.getSparkContext(SparkContextFactory.java:64)
org.apache.beam.runners.spark.SparkPipelineRunner.run(SparkPipelineRunner.java:109)
org.apache.beam.runners.jobsubmission.JobInvocation.runPipeline(JobInvocation.java:83)
org.apache.beam.vendor.guava.v26_0_jre.com.google.common.util.concurrent.TrustedListenableFutureTask$TrustedFutureInterruptibleTask.runInterruptibly(TrustedListenableFutureTask.java:125)
org.apache.beam.vendor.guava.v26_0_jre.com.google.common.util.concurrent.InterruptibleTask.run(InterruptibleTask.java:57)
org.apache.beam.vendor.guava.v26_0_jre.com.google.common.util.concurrent.TrustedListenableFutureTask.run(TrustedListenableFutureTask.java:78)
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
java.lang.Thread.run(Thread.java:748)
-------------------- >> begin captured logging << --------------------
apache_beam.utils.subprocess_server: INFO: Using pre-built snapshot at <https://ci-beam.apache.org/job/beam_PostCommit_XVR_Spark/ws/src/sdks/java/extensions/sql/expansion-service/build/libs/beam-sdks-java-extensions-sql-expansion-service-2.23.0-SNAPSHOT.jar>
apache_beam.utils.subprocess_server: INFO: Starting service with ['java' '-jar' '<https://ci-beam.apache.org/job/beam_PostCommit_XVR_Spark/ws/src/sdks/java/extensions/sql/expansion-service/build/libs/beam-sdks-java-extensions-sql-expansion-service-2.23.0-SNAPSHOT.jar'> '44535']
root: DEBUG: Waiting for grpc channel to be ready at localhost:44535.
apache_beam.utils.subprocess_server: INFO: Starting expansion service at localhost:44535
apache_beam.utils.subprocess_server: INFO: beam:external:java:sql:v1: org.apache.beam.sdk.expansion.service.ExpansionService$ExternalTransformRegistrarLoader$$Lambda$1/1327763628@593634ad
apache_beam.utils.subprocess_server: INFO: beam:external:java:generate_sequence:v1: org.apache.beam.sdk.expansion.service.ExpansionService$ExternalTransformRegistrarLoader$$Lambda$1/1327763628@20fa23c1
root: DEBUG: Waiting for grpc channel to be ready at localhost:44535.
root: DEBUG: Waiting for grpc channel to be ready at localhost:44535.
root: DEBUG: Waiting for grpc channel to be ready at localhost:44535.
root: DEBUG: Waiting for grpc channel to be ready at localhost:44535.
root: DEBUG: Waiting for grpc channel to be ready at localhost:44535.
apache_beam.utils.subprocess_server: INFO: Jun 25, 2020 12:25:54 AM org.apache.beam.sdk.expansion.service.ExpansionService expand
apache_beam.utils.subprocess_server: INFO: INFO: Expanding 'SqlTransform(beam:external:java:sql:v1)' with URN 'beam:external:java:sql:v1'
root: DEBUG: Sending SIGINT to job_server
root: WARNING: Make sure that locally built Python SDK docker image has Python 2.7 interpreter.
root: INFO: Using Python SDK docker image: apache/beam_python2.7_sdk:2.23.0.dev. If the image is not available at local, we will try to pull from hub.docker.com
root: WARNING: Make sure that locally built Python SDK docker image has Python 2.7 interpreter.
root: INFO: Using Python SDK docker image: apache/beam_python2.7_sdk:2.23.0.dev. If the image is not available at local, we will try to pull from hub.docker.com
apache_beam.runners.portability.fn_api_runner.translations: INFO: ==================== <function lift_combiners at 0x7f3d44fc8cf8> ====================
apache_beam.runners.portability.fn_api_runner.translations: DEBUG: 16 [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
apache_beam.runners.portability.fn_api_runner.translations: DEBUG: Stages: ['external_7SqlTransform(beam:external:java:sql:v1)/BeamValuesRel_13/Create.Values/Read(CreateSource)/Impulse\n SqlTransform(beam:external:java:sql:v1)/BeamValuesRel_13/Create.Values/Read(CreateSource)/Impulse:beam:transform:impulse:v1\n must follow: \n downstream_side_inputs: <unknown>', 'external_7SqlTransform(beam:external:java:sql:v1)/BeamValuesRel_13/Create.Values/Read(CreateSource)/MapElements/Map/ParMultiDo(Anonymous)\n SqlTransform(beam:external:java:sql:v1)/BeamValuesRel_13/Create.Values/Read(CreateSource)/MapElements/Map/ParMultiDo(Anonymous):beam:transform:pardo:v1\n must follow: \n downstream_side_inputs: <unknown>', 'external_7SqlTransform(beam:external:java:sql:v1)/BeamValuesRel_13/Create.Values/Read(CreateSource)/ParDo(BoundedSourceAsSDFWrapper)/ParMultiDo(BoundedSourceAsSDFWrapper)\n SqlTransform(beam:external:java:sql:v1)/BeamValuesRel_13/Create.Values/Read(CreateSource)/ParDo(BoundedSourceAsSDFWrapper)/ParMultiDo(BoundedSourceAsSDFWrapper):beam:transform:pardo:v1\n must follow: \n downstream_side_inputs: <unknown>', 'external_7SqlTransform(beam:external:java:sql:v1)/BeamZetaSqlCalcRel_17/ParDo(Calc)/ParMultiDo(Calc)\n SqlTransform(beam:external:java:sql:v1)/BeamZetaSqlCalcRel_17/ParDo(Calc)/ParMultiDo(Calc):beam:transform:pardo:v1\n must follow: \n downstream_side_inputs: <unknown>', 'ref_AppliedPTransform_assert_that/Create/Impulse_5\n assert_that/Create/Impulse:beam:transform:impulse:v1\n must follow: \n downstream_side_inputs: <unknown>', 'ref_AppliedPTransform_assert_that/Create/FlatMap(<lambda at core.py:2623>)_6\n assert_that/Create/FlatMap(<lambda at core.py:2623>):beam:transform:pardo:v1\n must follow: \n downstream_side_inputs: <unknown>', 'ref_AppliedPTransform_assert_that/Create/Map(decode)_8\n assert_that/Create/Map(decode):beam:transform:pardo:v1\n must follow: \n downstream_side_inputs: <unknown>', 'ref_AppliedPTransform_assert_that/WindowInto(WindowIntoFn)_9\n assert_that/WindowInto(WindowIntoFn):beam:transform:window_into:v1\n must follow: \n downstream_side_inputs: <unknown>', 'ref_AppliedPTransform_assert_that/ToVoidKey_10\n assert_that/ToVoidKey:beam:transform:pardo:v1\n must follow: \n downstream_side_inputs: <unknown>', 'ref_AppliedPTransform_assert_that/Group/pair_with_0_12\n assert_that/Group/pair_with_0:beam:transform:pardo:v1\n must follow: \n downstream_side_inputs: <unknown>', 'ref_AppliedPTransform_assert_that/Group/pair_with_1_13\n assert_that/Group/pair_with_1:beam:transform:pardo:v1\n must follow: \n downstream_side_inputs: <unknown>', 'ref_AppliedPTransform_assert_that/Group/Flatten_14\n assert_that/Group/Flatten:beam:transform:flatten:v1\n must follow: \n downstream_side_inputs: <unknown>', 'ref_AppliedPTransform_assert_that/Group/GroupByKey_15\n assert_that/Group/GroupByKey:beam:transform:group_by_key:v1\n must follow: \n downstream_side_inputs: <unknown>', 'ref_AppliedPTransform_assert_that/Group/Map(_merge_tagged_vals_under_key)_16\n assert_that/Group/Map(_merge_tagged_vals_under_key):beam:transform:pardo:v1\n must follow: \n downstream_side_inputs: <unknown>', 'ref_AppliedPTransform_assert_that/Unkey_17\n assert_that/Unkey:beam:transform:pardo:v1\n must follow: \n downstream_side_inputs: <unknown>', 'ref_AppliedPTransform_assert_that/Match_18\n assert_that/Match:beam:transform:pardo:v1\n must follow: \n downstream_side_inputs: <unknown>']
apache_beam.runners.portability.portable_runner: DEBUG: Runner option 'job_name' was already added
apache_beam.runners.portability.portable_runner: DEBUG: Runner option 'runner' was already added
apache_beam.runners.portability.portable_runner: DEBUG: Runner option 'temp_location' was already added
apache_beam.runners.portability.portable_runner: DEBUG: Runner option 'environment_cache_millis' was already added
apache_beam.runners.portability.portable_runner: DEBUG: Runner option 'job_endpoint' was already added
apache_beam.runners.portability.portable_runner: DEBUG: Runner option 'output_executable_path' was already added
apache_beam.runners.portability.portable_runner: DEBUG: Runner option 'sdk_worker_parallelism' was already added
apache_beam.runners.portability.portable_runner: DEBUG: Runner option 'dataflow_kms_key' was already added
apache_beam.runners.portability.portable_runner: DEBUG: Runner option 'enable_streaming_engine' was already added
apache_beam.runners.portability.portable_runner: DEBUG: Runner option 'project' was already added
apache_beam.runners.portability.portable_runner: DEBUG: Runner option 'worker_region' was already added
apache_beam.runners.portability.portable_runner: DEBUG: Runner option 'worker_zone' was already added
apache_beam.runners.portability.portable_runner: DEBUG: Runner option 'zone' was already added
apache_beam.runners.portability.portable_runner: DEBUG: Runner option 'files_to_stage' was already added
apache_beam.runners.portability.portable_runner: DEBUG: Runner option 'streaming' was already added
apache_beam.runners.portability.portable_runner: DEBUG: Runner option 'experiments' was already added
apache_beam.runners.portability.portable_runner: INFO: Job state changed to STOPPED
apache_beam.runners.portability.portable_runner: INFO: Job state changed to STARTING
apache_beam.runners.portability.portable_runner: INFO: Job state changed to RUNNING
root: DEBUG: org.apache.spark.SparkException: Only one SparkContext may be running in this JVM (see SPARK-2243). To ignore this error, set spark.driver.allowMultipleContexts = true. The currently running SparkContext was created at:
org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
org.apache.beam.runners.spark.translation.SparkContextFactory.createSparkContext(SparkContextFactory.java:98)
org.apache.beam.runners.spark.translation.SparkContextFactory.getSparkContext(SparkContextFactory.java:64)
org.apache.beam.runners.spark.SparkPipelineRunner.run(SparkPipelineRunner.java:109)
org.apache.beam.runners.jobsubmission.JobInvocation.runPipeline(JobInvocation.java:83)
org.apache.beam.vendor.guava.v26_0_jre.com.google.common.util.concurrent.TrustedListenableFutureTask$TrustedFutureInterruptibleTask.runInterruptibly(TrustedListenableFutureTask.java:125)
org.apache.beam.vendor.guava.v26_0_jre.com.google.common.util.concurrent.InterruptibleTask.run(InterruptibleTask.java:57)
org.apache.beam.vendor.guava.v26_0_jre.com.google.common.util.concurrent.TrustedListenableFutureTask.run(TrustedListenableFutureTask.java:78)
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
java.lang.Thread.run(Thread.java:748)
at org.apache.spark.SparkContext$$anonfun$assertNoOtherContextIsRunning$2.apply(SparkContext.scala:2483)
at org.apache.spark.SparkContext$$anonfun$assertNoOtherContextIsRunning$2.apply(SparkContext.scala:2479)
at scala.Option.foreach(Option.scala:257)
at org.apache.spark.SparkContext$.assertNoOtherContextIsRunning(SparkContext.scala:2479)
at org.apache.spark.SparkContext$.markPartiallyConstructed(SparkContext.scala:2568)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:85)
at org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
at org.apache.beam.runners.spark.translation.SparkContextFactory.createSparkContext(SparkContextFactory.java:98)
at org.apache.beam.runners.spark.translation.SparkContextFactory.getSparkContext(SparkContextFactory.java:64)
at org.apache.beam.runners.spark.SparkPipelineRunner.run(SparkPipelineRunner.java:109)
at org.apache.beam.runners.jobsubmission.JobInvocation.runPipeline(JobInvocation.java:83)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.util.concurrent.TrustedListenableFutureTask$TrustedFutureInterruptibleTask.runInterruptibly(TrustedListenableFutureTask.java:125)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.util.concurrent.InterruptibleTask.run(InterruptibleTask.java:57)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.util.concurrent.TrustedListenableFutureTask.run(TrustedListenableFutureTask.java:78)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
root: ERROR: org.apache.spark.SparkException: Only one SparkContext may be running in this JVM (see SPARK-2243). To ignore this error, set spark.driver.allowMultipleContexts = true. The currently running SparkContext was created at:
org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
org.apache.beam.runners.spark.translation.SparkContextFactory.createSparkContext(SparkContextFactory.java:98)
org.apache.beam.runners.spark.translation.SparkContextFactory.getSparkContext(SparkContextFactory.java:64)
org.apache.beam.runners.spark.SparkPipelineRunner.run(SparkPipelineRunner.java:109)
org.apache.beam.runners.jobsubmission.JobInvocation.runPipeline(JobInvocation.java:83)
org.apache.beam.vendor.guava.v26_0_jre.com.google.common.util.concurrent.TrustedListenableFutureTask$TrustedFutureInterruptibleTask.runInterruptibly(TrustedListenableFutureTask.java:125)
org.apache.beam.vendor.guava.v26_0_jre.com.google.common.util.concurrent.InterruptibleTask.run(InterruptibleTask.java:57)
org.apache.beam.vendor.guava.v26_0_jre.com.google.common.util.concurrent.TrustedListenableFutureTask.run(TrustedListenableFutureTask.java:78)
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
java.lang.Thread.run(Thread.java:748)
apache_beam.runners.portability.portable_runner: INFO: Job state changed to FAILED
--------------------- >> end captured logging << ---------------------
----------------------------------------------------------------------
XML: nosetests-xlangSqlValidateRunner.xml
----------------------------------------------------------------------
XML: <https://ci-beam.apache.org/job/beam_PostCommit_XVR_Spark/ws/src/sdks/python/nosetests.xml>
----------------------------------------------------------------------
Ran 7 tests in 115.726s
FAILED (errors=4)
> Task :runners:spark:job-server:validatesCrossLanguageRunnerPythonUsingSql FAILED
> Task :runners:spark:job-server:sparkJobServerCleanup
Stopping job server pid: 4156.
FAILURE: Build completed with 5 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':runners:spark:job-server:validatesCrossLanguageRunnerJavaUsingJava'.
> There were failing tests. See the report at: file://<https://ci-beam.apache.org/job/beam_PostCommit_XVR_Spark/ws/src/runners/spark/job-server/build/reports/tests/validatesCrossLanguageRunnerJavaUsingJava/index.html>
* Try:
Run with --stacktrace option to get the stack trace. Run with --info or --debug option to get more log output. Run with --scan to get full insights.
==============================================================================
2: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':runners:spark:job-server:validatesCrossLanguageRunnerJavaUsingPython'.
> There were failing tests. See the report at: file://<https://ci-beam.apache.org/job/beam_PostCommit_XVR_Spark/ws/src/runners/spark/job-server/build/reports/tests/validatesCrossLanguageRunnerJavaUsingPython/index.html>
* Try:
Run with --stacktrace option to get the stack trace. Run with --info or --debug option to get more log output. Run with --scan to get full insights.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':runners:spark:job-server:validatesCrossLanguageRunnerPythonUsingJava'.
> Process 'command 'sh'' finished with non-zero exit value 1
* Try:
Run with --stacktrace option to get the stack trace. Run with --info or --debug option to get more log output. Run with --scan to get full insights.
==============================================================================
4: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':runners:spark:job-server:validatesCrossLanguageRunnerPythonUsingPython'.
> Process 'command 'sh'' finished with non-zero exit value 1
* Try:
Run with --stacktrace option to get the stack trace. Run with --info or --debug option to get more log output. Run with --scan to get full insights.
==============================================================================
5: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':runners:spark:job-server:validatesCrossLanguageRunnerPythonUsingSql'.
> Process 'command 'sh'' finished with non-zero exit value 1
* Try:
Run with --stacktrace option to get the stack trace. Run with --info or --debug option to get more log output. Run with --scan to get full insights.
==============================================================================
* Get more help at https://help.gradle.org
Deprecated Gradle features were used in this build, making it incompatible with Gradle 6.0.
Use '--warning-mode all' to show the individual deprecation warnings.
See https://docs.gradle.org/5.2.1/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 23m 7s
134 actionable tasks: 99 executed, 33 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/ardeer2cg24ja
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Jenkins build is back to normal : beam_PostCommit_XVR_Spark #1005
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_XVR_Spark/1005/display/redirect?page=changes>
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