See
<https://builds.apache.org/job/beam_PostRelease_NightlySnapshot/102/display/redirect?page=changes>
Changes:
[yifanzou] BEAM-3339 Mobile gaming automation for Java nightly snapshot
------------------------------------------
[...truncated 5.40 MB...]
org.apache.beam.examples.complete.game.utils.WriteToBigQuery$BuildRowFn$DoFnInvoker.invokeProcessElement(Unknown
Source)
org.apache.beam.runners.core.SimpleDoFnRunner.invokeProcessElement(SimpleDoFnRunner.java:177)
org.apache.beam.runners.core.SimpleDoFnRunner.processElement(SimpleDoFnRunner.java:138)
com.google.cloud.dataflow.worker.SimpleParDoFn.processElement(SimpleParDoFn.java:323)
com.google.cloud.dataflow.worker.util.common.worker.ParDoOperation.process(ParDoOperation.java:43)
com.google.cloud.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:48)
com.google.cloud.dataflow.worker.GroupAlsoByWindowsParDoFn$1.output(GroupAlsoByWindowsParDoFn.java:181)
com.google.cloud.dataflow.worker.GroupAlsoByWindowFnRunner$1.outputWindowedValue(GroupAlsoByWindowFnRunner.java:101)
org.apache.beam.runners.core.ReduceFnRunner.lambda$onTrigger$1(ReduceFnRunner.java:1040)
org.apache.beam.runners.core.ReduceFnContextFactory$OnTriggerContextImpl.output(ReduceFnContextFactory.java:433)
org.apache.beam.runners.core.SystemReduceFn.onTrigger(SystemReduceFn.java:127)
org.apache.beam.runners.core.ReduceFnRunner.onTrigger(ReduceFnRunner.java:1043)
org.apache.beam.runners.core.ReduceFnRunner.emit(ReduceFnRunner.java:911)
org.apache.beam.runners.core.ReduceFnRunner.processElements(ReduceFnRunner.java:362)
com.google.cloud.dataflow.worker.StreamingGroupAlsoByWindowViaWindowSetFn.processElement(StreamingGroupAlsoByWindowViaWindowSetFn.java:94)
com.google.cloud.dataflow.worker.StreamingGroupAlsoByWindowViaWindowSetFn.processElement(StreamingGroupAlsoByWindowViaWindowSetFn.java:42)
com.google.cloud.dataflow.worker.GroupAlsoByWindowFnRunner.invokeProcessElement(GroupAlsoByWindowFnRunner.java:114)
com.google.cloud.dataflow.worker.GroupAlsoByWindowFnRunner.processElement(GroupAlsoByWindowFnRunner.java:72)
org.apache.beam.runners.core.LateDataDroppingDoFnRunner.processElement(LateDataDroppingDoFnRunner.java:74)
com.google.cloud.dataflow.worker.GroupAlsoByWindowsParDoFn.processElement(GroupAlsoByWindowsParDoFn.java:133)
com.google.cloud.dataflow.worker.util.common.worker.ParDoOperation.process(ParDoOperation.java:43)
com.google.cloud.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:48)
com.google.cloud.dataflow.worker.util.common.worker.ReadOperation.runReadLoop(ReadOperation.java:189)
com.google.cloud.dataflow.worker.util.common.worker.ReadOperation.start(ReadOperation.java:150)
com.google.cloud.dataflow.worker.util.common.worker.MapTaskExecutor.execute(MapTaskExecutor.java:74)
com.google.cloud.dataflow.worker.StreamingDataflowWorker.process(StreamingDataflowWorker.java:1208)
com.google.cloud.dataflow.worker.StreamingDataflowWorker.access$1000(StreamingDataflowWorker.java:136)
com.google.cloud.dataflow.worker.StreamingDataflowWorker$6.run(StreamingDataflowWorker.java:956)
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
java.lang.Thread.run(Thread.java:745)
Caused by: java.lang.RuntimeException:
com.google.api.client.googleapis.json.GoogleJsonResponseException: 400 Bad
Request
{
"code" : 400,
"errors" : [ {
"domain" : "global",
"message" : "Invalid table ID \"leaderboard_dataflow-runner_user\". Table
IDs must be alphanumeric (plus underscores) and must be at most 1024 characters
long. Also, Table decorators cannot be used.",
"reason" : "invalid"
} ],
"message" : "Invalid table ID \"leaderboard_dataflow-runner_user\". Table IDs
must be alphanumeric (plus underscores) and must be at most 1024 characters
long. Also, Table decorators cannot be used."
}
org.apache.beam.sdk.io.gcp.bigquery.CreateTables$CreateTablesFn.tryCreateTable(CreateTables.java:184)
org.apache.beam.sdk.io.gcp.bigquery.CreateTables$CreateTablesFn.getTableDestination(CreateTables.java:143)
org.apache.beam.sdk.io.gcp.bigquery.CreateTables$CreateTablesFn.lambda$processElement$0(CreateTables.java:106)
java.util.HashMap.computeIfAbsent(HashMap.java:1126)
org.apache.beam.sdk.io.gcp.bigquery.CreateTables$CreateTablesFn.processElement(CreateTables.java:105)
Caused by: com.google.api.client.googleapis.json.GoogleJsonResponseException:
400 Bad Request
{
"code" : 400,
"errors" : [ {
"domain" : "global",
"message" : "Invalid table ID \"leaderboard_dataflow-runner_user\". Table
IDs must be alphanumeric (plus underscores) and must be at most 1024 characters
long. Also, Table decorators cannot be used.",
"reason" : "invalid"
} ],
"message" : "Invalid table ID \"leaderboard_dataflow-runner_user\". Table IDs
must be alphanumeric (plus underscores) and must be at most 1024 characters
long. Also, Table decorators cannot be used."
}
com.google.api.client.googleapis.json.GoogleJsonResponseException.from(GoogleJsonResponseException.java:146)
com.google.api.client.googleapis.services.json.AbstractGoogleJsonClientRequest.newExceptionOnError(AbstractGoogleJsonClientRequest.java:113)
com.google.api.client.googleapis.services.json.AbstractGoogleJsonClientRequest.newExceptionOnError(AbstractGoogleJsonClientRequest.java:40)
com.google.api.client.googleapis.services.AbstractGoogleClientRequest$1.interceptResponse(AbstractGoogleClientRequest.java:321)
com.google.api.client.http.HttpRequest.execute(HttpRequest.java:1065)
com.google.api.client.googleapis.services.AbstractGoogleClientRequest.executeUnparsed(AbstractGoogleClientRequest.java:419)
com.google.api.client.googleapis.services.AbstractGoogleClientRequest.executeUnparsed(AbstractGoogleClientRequest.java:352)
com.google.api.client.googleapis.services.AbstractGoogleClientRequest.execute(AbstractGoogleClientRequest.java:469)
org.apache.beam.sdk.io.gcp.bigquery.BigQueryServicesImpl$DatasetServiceImpl.tryCreateTable(BigQueryServicesImpl.java:469)
org.apache.beam.sdk.io.gcp.bigquery.BigQueryServicesImpl$DatasetServiceImpl.createTable(BigQueryServicesImpl.java:456)
org.apache.beam.sdk.io.gcp.bigquery.CreateTables$CreateTablesFn.tryCreateTable(CreateTables.java:181)
org.apache.beam.sdk.io.gcp.bigquery.CreateTables$CreateTablesFn.getTableDestination(CreateTables.java:143)
org.apache.beam.sdk.io.gcp.bigquery.CreateTables$CreateTablesFn.lambda$processElement$0(CreateTables.java:106)
java.util.HashMap.computeIfAbsent(HashMap.java:1126)
org.apache.beam.sdk.io.gcp.bigquery.CreateTables$CreateTablesFn.processElement(CreateTables.java:105)
org.apache.beam.sdk.io.gcp.bigquery.CreateTables$CreateTablesFn$DoFnInvoker.invokeProcessElement(Unknown
Source)
org.apache.beam.runners.core.SimpleDoFnRunner.invokeProcessElement(SimpleDoFnRunner.java:177)
org.apache.beam.runners.core.SimpleDoFnRunner.processElement(SimpleDoFnRunner.java:141)
com.google.cloud.dataflow.worker.SimpleParDoFn.processElement(SimpleParDoFn.java:323)
com.google.cloud.dataflow.worker.util.common.worker.ParDoOperation.process(ParDoOperation.java:43)
com.google.cloud.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:48)
com.google.cloud.dataflow.worker.SimpleParDoFn$1.output(SimpleParDoFn.java:271)
org.apache.beam.runners.core.SimpleDoFnRunner.outputWindowedValue(SimpleDoFnRunner.java:211)
org.apache.beam.runners.core.SimpleDoFnRunner.access$700(SimpleDoFnRunner.java:66)
org.apache.beam.runners.core.SimpleDoFnRunner$DoFnProcessContext.output(SimpleDoFnRunner.java:436)
org.apache.beam.runners.core.SimpleDoFnRunner$DoFnProcessContext.output(SimpleDoFnRunner.java:424)
org.apache.beam.sdk.io.gcp.bigquery.PrepareWrite$1.processElement(PrepareWrite.java:74)
org.apache.beam.sdk.io.gcp.bigquery.PrepareWrite$1$DoFnInvoker.invokeProcessElement(Unknown
Source)
org.apache.beam.runners.core.SimpleDoFnRunner.invokeProcessElement(SimpleDoFnRunner.java:177)
org.apache.beam.runners.core.SimpleDoFnRunner.processElement(SimpleDoFnRunner.java:138)
com.google.cloud.dataflow.worker.SimpleParDoFn.processElement(SimpleParDoFn.java:323)
com.google.cloud.dataflow.worker.util.common.worker.ParDoOperation.process(ParDoOperation.java:43)
com.google.cloud.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:48)
com.google.cloud.dataflow.worker.SimpleParDoFn$1.output(SimpleParDoFn.java:271)
org.apache.beam.runners.core.SimpleDoFnRunner.outputWindowedValue(SimpleDoFnRunner.java:211)
org.apache.beam.runners.core.SimpleDoFnRunner.access$700(SimpleDoFnRunner.java:66)
org.apache.beam.runners.core.SimpleDoFnRunner$DoFnProcessContext.output(SimpleDoFnRunner.java:436)
org.apache.beam.runners.core.SimpleDoFnRunner$DoFnProcessContext.output(SimpleDoFnRunner.java:424)
org.apache.beam.examples.complete.game.utils.WriteToBigQuery$BuildRowFn.processElement(WriteToBigQuery.java:108)
org.apache.beam.examples.complete.game.utils.WriteToBigQuery$BuildRowFn$DoFnInvoker.invokeProcessElement(Unknown
Source)
org.apache.beam.runners.core.SimpleDoFnRunner.invokeProcessElement(SimpleDoFnRunner.java:177)
org.apache.beam.runners.core.SimpleDoFnRunner.processElement(SimpleDoFnRunner.java:138)
com.google.cloud.dataflow.worker.SimpleParDoFn.processElement(SimpleParDoFn.java:323)
com.google.cloud.dataflow.worker.util.common.worker.ParDoOperation.process(ParDoOperation.java:43)
com.google.cloud.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:48)
com.google.cloud.dataflow.worker.GroupAlsoByWindowsParDoFn$1.output(GroupAlsoByWindowsParDoFn.java:181)
com.google.cloud.dataflow.worker.GroupAlsoByWindowFnRunner$1.outputWindowedValue(GroupAlsoByWindowFnRunner.java:101)
org.apache.beam.runners.core.ReduceFnRunner.lambda$onTrigger$1(ReduceFnRunner.java:1040)
org.apache.beam.runners.core.ReduceFnContextFactory$OnTriggerContextImpl.output(ReduceFnContextFactory.java:433)
org.apache.beam.runners.core.SystemReduceFn.onTrigger(SystemReduceFn.java:127)
org.apache.beam.runners.core.ReduceFnRunner.onTrigger(ReduceFnRunner.java:1043)
org.apache.beam.runners.core.ReduceFnRunner.emit(ReduceFnRunner.java:911)
org.apache.beam.runners.core.ReduceFnRunner.processElements(ReduceFnRunner.java:362)
com.google.cloud.dataflow.worker.StreamingGroupAlsoByWindowViaWindowSetFn.processElement(StreamingGroupAlsoByWindowViaWindowSetFn.java:94)
com.google.cloud.dataflow.worker.StreamingGroupAlsoByWindowViaWindowSetFn.processElement(StreamingGroupAlsoByWindowViaWindowSetFn.java:42)
com.google.cloud.dataflow.worker.GroupAlsoByWindowFnRunner.invokeProcessElement(GroupAlsoByWindowFnRunner.java:114)
com.google.cloud.dataflow.worker.GroupAlsoByWindowFnRunner.processElement(GroupAlsoByWindowFnRunner.java:72)
org.apache.beam.runners.core.LateDataDroppingDoFnRunner.processElement(LateDataDroppingDoFnRunner.java:74)
com.google.cloud.dataflow.worker.GroupAlsoByWindowsParDoFn.processElement(GroupAlsoByWindowsParDoFn.java:133)
com.google.cloud.dataflow.worker.util.common.worker.ParDoOperation.process(ParDoOperation.java:43)
com.google.cloud.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:48)
com.google.cloud.dataflow.worker.util.common.worker.ReadOperation.runReadLoop(ReadOperation.java:189)
com.google.cloud.dataflow.worker.util.common.worker.ReadOperation.start(ReadOperation.java:150)
com.google.cloud.dataflow.worker.util.common.worker.MapTaskExecutor.execute(MapTaskExecutor.java:74)
com.google.cloud.dataflow.worker.StreamingDataflowWorker.process(StreamingDataflowWorker.java:1208)
com.google.cloud.dataflow.worker.StreamingDataflowWorker.access$1000(StreamingDataflowWorker.java:136)
com.google.cloud.dataflow.worker.StreamingDataflowWorker$6.run(StreamingDataflowWorker.java:956)
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
java.lang.Thread.run(Thread.java:745)
java.lang.RuntimeException: org.apache.beam.sdk.util.UserCodeException:
java.lang.RuntimeException:
com.google.api.client.googleapis.json.GoogleJsonResponseException: 400 Bad
Request
{
"code" : 400,
"errors" : [ {
"domain" : "global",
"message" : "Invalid table ID \"leaderboard_dataflow-runner_user\". Table
IDs must be alphanumeric (plus underscores) and must be at most 1024 characters
long. Also, Table decorators cannot be used.",
"reason" : "invalid"
} ],
"message" : "Invalid table ID \"leaderboard_dataflow-runner_user\". Table IDs
must be alphanumeric (plus underscores) and must be at most 1024 characters
long. Also, Table decorators cannot be used."
}
com.google.cloud.dataflow.worker.GroupAlsoByWindowsParDoFn$1.output(GroupAlsoByWindowsParDoFn.java:183)
com.google.cloud.dataflow.worker.GroupAlsoByWindowFnRunner$1.outputWindowedValue(GroupAlsoByWindowFnRunner.java:101)
org.apache.beam.runners.core.ReduceFnRunner.lambda$onTrigger$1(ReduceFnRunner.java:1040)
org.apache.beam.runners.core.ReduceFnContextFactory$OnTriggerContextImpl.output(ReduceFnContextFactory.java:433)
org.apache.beam.runners.core.SystemReduceFn.onTrigger(SystemReduceFn.java:127)
org.apache.beam.runners.core.ReduceFnRunner.onTrigger(ReduceFnRunner.java:1043)
org.apache.beam.runners.core.ReduceFnRunner.emit(ReduceFnRunner.java:911)
org.apache.beam.runners.core.ReduceFnRunner.processElements(ReduceFnRunner.java:362)
com.google.cloud.dataflow.worker.StreamingGroupAlsoByWindowViaWindowSetFn.processElement(StreamingGroupAlsoByWindowViaWindowSetFn.java:94)
com.google.cloud.dataflow.worker.StreamingGroupAlsoByWindowViaWindowSetFn.processElement(StreamingGroupAlsoByWindowViaWindowSetFn.java:42)
com.google.cloud.dataflow.worker.GroupAlsoByWindowFnRunner.invokeProcessElement(GroupAlsoByWindowFnRunner.java:114)
com.google.cloud.dataflow.worker.GroupAlsoByWindowFnRunner.processElement(GroupAlsoByWindowFnRunner.java:72)
org.apache.beam.runners.core.LateDataDroppingDoFnRunner.processElement(LateDataDroppingDoFnRunner.java:74)
com.google.cloud.dataflow.worker.GroupAlsoByWindowsParDoFn.processElement(GroupAlsoByWindowsParDoFn.java:133)
com.google.cloud.dataflow.worker.util.common.worker.ParDoOperation.process(ParDoOperation.java:43)
com.google.cloud.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:48)
com.google.cloud.dataflow.worker.util.common.worker.ReadOperation.runReadLoop(ReadOperation.java:189)
com.google.cloud.dataflow.worker.util.common.worker.ReadOperation.start(ReadOperation.java:150)
com.google.cloud.dataflow.worker.util.common.worker.MapTaskExecutor.execute(MapTaskExecutor.java:74)
com.google.cloud.dataflow.worker.StreamingDataflowWorker.process(StreamingDataflowWorker.java:1208)
com.google.cloud.dataflow.worker.StreamingDataflowWorker.access$1000(StreamingDataflowWorker.java:136)
com.google.cloud.dataflow.worker.StreamingDataflowWorker$6.run(StreamingDataflowWorker.java:956)
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
java.lang.Thread.run(Thread.java:745)
Caused by: org.apache.beam.sdk.util.UserCodeException:
java.lang.RuntimeException:
com.google.api.client.googleapis.json.GoogleJsonResponseException: 400 Bad
Request
{
"code" : 400,
"errors" : [ {
"domain" : "global",
"message" : "Invalid table ID \"leaderboard_dataflow-runner_user\". Table
IDs must be alphanumeric (plus underscores) and must be at most 1024 characters
long. Also, Table decorators cannot be used.",
"reason" : "invalid"
} ],
"message" : "Invalid table ID \"leaderboard_dataflow-runner_user\". Table IDs
must be alphanumeric (plus underscores) and must be at most 1024 characters
long. Also, Table decorators cannot be used."
}
org.apache.beam.sdk.util.UserCodeException.wrap(UserCodeException.java:36)
org.apache.beam.sdk.io.gcp.bigquery.CreateTables$CreateTablesFn$DoFnInvoker.invokeProcessElement(Unknown
Source)
org.apache.beam.runners.core.SimpleDoFnRunner.invokeProcessElement(SimpleDoFnRunner.java:177)
org.apache.beam.runners.core.SimpleDoFnRunner.processElement(SimpleDoFnRunner.java:141)
com.google.cloud.dataflow.worker.SimpleParDoFn.processElement(SimpleParDoFn.java:323)
com.google.cloud.dataflow.worker.util.common.worker.ParDoOperation.process(ParDoOperation.java:43)
com.google.cloud.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:48)
com.google.cloud.dataflow.worker.SimpleParDoFn$1.output(SimpleParDoFn.java:271)
org.apache.beam.runners.core.SimpleDoFnRunner.outputWindowedValue(SimpleDoFnRunner.java:211)
org.apache.beam.runners.core.SimpleDoFnRunner.access$700(SimpleDoFnRunner.java:66)
org.apache.beam.runners.core.SimpleDoFnRunner$DoFnProcessContext.output(SimpleDoFnRunner.java:436)
org.apache.beam.runners.core.SimpleDoFnRunner$DoFnProcessContext.output(SimpleDoFnRunner.java:424)
org.apache.beam.sdk.io.gcp.bigquery.PrepareWrite$1.processElement(PrepareWrite.java:74)
org.apache.beam.sdk.io.gcp.bigquery.PrepareWrite$1$DoFnInvoker.invokeProcessElement(Unknown
Source)
org.apache.beam.runners.core.SimpleDoFnRunner.invokeProcessElement(SimpleDoFnRunner.java:177)
org.apache.beam.runners.core.SimpleDoFnRunner.processElement(SimpleDoFnRunner.java:138)
com.google.cloud.dataflow.worker.SimpleParDoFn.processElement(SimpleParDoFn.java:323)
com.google.cloud.dataflow.worker.util.common.worker.ParDoOperation.process(ParDoOperation.java:43)
com.google.cloud.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:48)
com.google.cloud.dataflow.worker.SimpleParDoFn$1.output(SimpleParDoFn.java:271)
org.apache.beam.runners.core.SimpleDoFnRunner.outputWindowedValue(SimpleDoFnRunner.java:211)
org.apache.beam.runners.core.SimpleDoFnRunner.access$700(SimpleDoFnRunner.java:66)
org.apache.beam.runners.core.SimpleDoFnRunner$DoFnProcessContext.output(SimpleDoFnRunner.java:436)
org.apache.beam.runners.core.SimpleDoFnRunner$DoFnProcessContext.output(SimpleDoFnRunner.java:424)
org.apache.beam.examples.complete.game.utils.WriteToBigQuery$BuildRowFn.processElement(WriteToBigQuery.java:108)
org.apache.beam.examples.complete.game.utils.WriteToBigQuery$BuildRowFn$DoFnInvoker.invokeProcessElement(Unknown
Source)
org.apache.beam.runners.core.SimpleDoFnRunner.invokeProcessElement(SimpleDoFnRunner.java:177)
org.apache.beam.runners.core.SimpleDoFnRunner.processElement(SimpleDoFnRunner.java:138)
com.google.cloud.dataflow.worker.SimpleParDoFn.processElement(SimpleParDoFn.java:323
bq query SELECT table_id FROM beam_postrelease_mobile_gaming.__TABLES_SUMMARY__
/usr/lib/google-cloud-sdk/platform/bq/third_party/oauth2client/contrib/gce.py:73:
UserWarning: You have requested explicit scopes to be used with a GCE service
account.
Using this argument will have no effect on the actual scopes for tokens
requested. These scopes are set at VM instance creation time and
can't be overridden in the request.
warnings.warn(_SCOPES_WARNING)
Waiting on bqjob_r310e818f6dc728b2_00000161fef34a94_1 ... (0s) Current status:
DONE
Cannot find leaderboard_dataflow-runner_user in
/usr/lib/google-cloud-sdk/platform/bq/third_party/oauth2client/contrib/gce.py:73:
UserWarning: You have requested explicit scopes to be used with a GCE service
account.
Using this argument will have no effect on the actual scopes for tokens
requested. These scopes are set at VM instance creation time and
can't be overridden in the request.
warnings.warn(_SCOPES_WARNING)
Waiting on bqjob_r310e818f6dc728b2_00000161fef34a94_1 ... (0s) Current status:
DONE
[ERROR] Cannot find expected text
:runners:google-cloud-dataflow-java:runMobileGamingJavaDataflow FAILED
FAILURE: Build completed with 2 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':runners:direct-java:runMobileGamingJavaDirect'.
> Process 'command '/usr/local/asfpackages/java/jdk1.8.0_152/bin/java''
> 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.
==============================================================================
2: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task
':runners:google-cloud-dataflow-java:runMobileGamingJavaDataflow'.
> Process 'command '/usr/local/asfpackages/java/jdk1.8.0_152/bin/java''
> 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
BUILD FAILED in 24m 32s
3 actionable tasks: 3 executed
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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