See
<https://ci-beam.apache.org/job/beam_LoadTests_Go_CoGBK_Flink_batch/720/display/redirect?page=changes>
Changes:
[Xinyu Liu] Disable flaky async tests in samza runner
[noreply] Bump cloud.google.com/go/spanner from 1.40.0 to 1.41.0 in /sdks
(#24483)
[noreply] Revert "Support SqlTypes Date and Timestamp (MicrosInstant) in
AvroUtils
[noreply] Bump actions/setup-java from 3.6.0 to 3.7.0 (#24484)
[noreply] Add GPU benchmark to RunInference Grafana dashboard (#24485)
[Yi Hu] Add back javadoc
[noreply] [CdapIO] Update read timeout for SparkReceiverIOIT job (#24428)
[noreply] Bump cloud.google.com/go/datastore from 1.9.0 to 1.10.0 in /sdks
[noreply] Fix broken typescript tests
[noreply] Reduce version matrix of build wheel on pull request event (#24448)
[noreply] [Spark dataset runner] Make sure PCollection views get only
broadcasted
[noreply] Fix for #22951 w/ GroupIntoBatchesOverride fix (#24463)
[noreply] Never mark issues as stale (#24494)
[noreply] [BigQueryIO] Use final destination table schema and metadata when
[noreply] Minor visibility improvements to render runner. (#24480)
[noreply] [Go SDK]: Infer field names from struct tags (#24473)
[noreply] Bump github.com/go-sql-driver/mysql from 1.6.0 to 1.7.0 in /sdks
[noreply] [Website] add coauthor option to case-studies #24486 (#24475)
[noreply] Add panel pointing to docs for ml benchmarks (#24503)
[noreply] Adding Beam Schemas capability to parse json-schemas. This is the de-…
[noreply] Bump tensorflow from 2.9.1 to 2.9.3 in
[noreply] [SQL extension] Minor fixes to logging applying best practices
(#24328)
[noreply] Apply task configuration avoidance (#24509)
[noreply] Bump cloud.google.com/go/profiler from 0.3.0 to 0.3.1 in /sdks
(#24498)
[relax] fix exception
------------------------------------------
[...truncated 40.77 KB...]
key: "c9"
value: <
spec: <
urn: "beam:go:coder:cogbklist:v1"
>
component_coder_ids: "c0"
component_coder_ids: "c0"
>
>
environments: <
key: "go"
value: <
urn: "beam:env:docker:v1"
payload: "\n6gcr.io/apache-beam-testing/beam-sdk/beam_go_sdk:latest"
capabilities: "beam:protocol:progress_reporting:v1"
capabilities: "beam:protocol:multi_core_bundle_processing:v1"
capabilities: "beam:transform:sdf_truncate_sized_restrictions:v1"
capabilities: "beam:protocol:****_status:v1"
capabilities: "beam:protocol:monitoring_info_short_ids:v1"
capabilities: "beam:version:sdk_base:go"
capabilities: "beam:coder:bytes:v1"
capabilities: "beam:coder:bool:v1"
capabilities: "beam:coder:varint:v1"
capabilities: "beam:coder:double:v1"
capabilities: "beam:coder:string_utf8:v1"
capabilities: "beam:coder:length_prefix:v1"
capabilities: "beam:coder:kv:v1"
capabilities: "beam:coder:iterable:v1"
capabilities: "beam:coder:state_backed_iterable:v1"
capabilities: "beam:coder:windowed_value:v1"
capabilities: "beam:coder:global_window:v1"
capabilities: "beam:coder:interval_window:v1"
capabilities: "beam:coder:row:v1"
capabilities: "beam:coder:nullable:v1"
dependencies: <
type_urn: "beam:artifact:type:file:v1"
role_urn: "beam:artifact:role:go_****_binary:v1"
>
>
>
>
root_transform_ids: "s2"
root_transform_ids: "e8"
root_transform_ids: "s1"
root_transform_ids: "e4"
root_transform_ids: "e9_cogbk"
root_transform_ids: "e10"
root_transform_ids: "e11"
requirements: "beam:requirement:pardo:splittable_dofn:v1"
2022/12/03 08:27:29 Using specified **** binary: 'linux_amd64/cogbk'
2022/12/03 08:27:30 Prepared job with id:
load-tests-go-flink-batch-cogbk-2-1203071054_99e0437d-4435-46d7-82c6-f35e85f08e1c
and staging token:
load-tests-go-flink-batch-cogbk-2-1203071054_99e0437d-4435-46d7-82c6-f35e85f08e1c
2022/12/03 08:27:36 Staged binary artifact with token:
2022/12/03 08:27:37 Submitted job:
load0tests0go0flink0batch0cogbk0201203071054-root-1203082736-9d704148_60fd9c58-e7cd-449c-ba26-4676586e663f
2022/12/03 08:27:38 Job state: STOPPED
2022/12/03 08:27:38 Job state: STARTING
2022/12/03 08:27:38 Job state: RUNNING
2022/12/03 08:39:22 ():
org.apache.flink.client.program.ProgramInvocationException: Job failed (JobID:
1f1582b90d0c60ca22c374b99f98353a)
at
org.apache.flink.client.deployment.ClusterClientJobClientAdapter.lambda$null$6(ClusterClientJobClientAdapter.java:130)
at
java.util.concurrent.CompletableFuture.uniApply(CompletableFuture.java:616)
at
java.util.concurrent.CompletableFuture$UniApply.tryFire(CompletableFuture.java:591)
at
java.util.concurrent.CompletableFuture.postComplete(CompletableFuture.java:488)
at
java.util.concurrent.CompletableFuture.complete(CompletableFuture.java:1975)
at
org.apache.flink.util.concurrent.FutureUtils.lambda$retryOperationWithDelay$9(FutureUtils.java:403)
at
java.util.concurrent.CompletableFuture.uniWhenComplete(CompletableFuture.java:774)
at
java.util.concurrent.CompletableFuture$UniWhenComplete.tryFire(CompletableFuture.java:750)
at
java.util.concurrent.CompletableFuture.postComplete(CompletableFuture.java:488)
at
java.util.concurrent.CompletableFuture.complete(CompletableFuture.java:1975)
at
org.apache.flink.client.program.rest.RestClusterClient.lambda$pollResourceAsync$26(RestClusterClient.java:708)
at
java.util.concurrent.CompletableFuture.uniWhenComplete(CompletableFuture.java:774)
at
java.util.concurrent.CompletableFuture$UniWhenComplete.tryFire(CompletableFuture.java:750)
at
java.util.concurrent.CompletableFuture.postComplete(CompletableFuture.java:488)
at
java.util.concurrent.CompletableFuture.complete(CompletableFuture.java:1975)
at
org.apache.flink.util.concurrent.FutureUtils.lambda$retryOperationWithDelay$9(FutureUtils.java:403)
at
java.util.concurrent.CompletableFuture.uniWhenComplete(CompletableFuture.java:774)
at
java.util.concurrent.CompletableFuture$UniWhenComplete.tryFire(CompletableFuture.java:750)
at
java.util.concurrent.CompletableFuture.postComplete(CompletableFuture.java:488)
at
java.util.concurrent.CompletableFuture.postFire(CompletableFuture.java:575)
at
java.util.concurrent.CompletableFuture$UniCompose.tryFire(CompletableFuture.java:943)
at
java.util.concurrent.CompletableFuture$Completion.run(CompletableFuture.java:456)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:750)
Caused by: org.apache.flink.runtime.client.JobExecutionException: Job execution
failed.
at
org.apache.flink.runtime.jobmaster.JobResult.toJobExecutionResult(JobResult.java:144)
at
org.apache.flink.client.deployment.ClusterClientJobClientAdapter.lambda$null$6(ClusterClientJobClientAdapter.java:128)
... 24 more
Caused by: org.apache.flink.runtime.JobException: Recovery is suppressed by
NoRestartBackoffTimeStrategy
at
org.apache.flink.runtime.executiongraph.failover.flip1.ExecutionFailureHandler.handleFailure(ExecutionFailureHandler.java:138)
at
org.apache.flink.runtime.executiongraph.failover.flip1.ExecutionFailureHandler.getFailureHandlingResult(ExecutionFailureHandler.java:82)
at
org.apache.flink.runtime.scheduler.DefaultScheduler.handleTaskFailure(DefaultScheduler.java:301)
at
org.apache.flink.runtime.scheduler.DefaultScheduler.maybeHandleTaskFailure(DefaultScheduler.java:291)
at
org.apache.flink.runtime.scheduler.DefaultScheduler.updateTaskExecutionStateInternal(DefaultScheduler.java:282)
at
org.apache.flink.runtime.scheduler.SchedulerBase.updateTaskExecutionState(SchedulerBase.java:739)
at
org.apache.flink.runtime.scheduler.SchedulerNG.updateTaskExecutionState(SchedulerNG.java:78)
at
org.apache.flink.runtime.jobmaster.JobMaster.updateTaskExecutionState(JobMaster.java:443)
at jdk.internal.reflect.GeneratedMethodAccessor28.invoke(Unknown Source)
at
jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:566)
at
org.apache.flink.runtime.rpc.akka.AkkaRpcActor.lambda$handleRpcInvocation$1(AkkaRpcActor.java:304)
at
org.apache.flink.runtime.concurrent.akka.ClassLoadingUtils.runWithContextClassLoader(ClassLoadingUtils.java:83)
at
org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcInvocation(AkkaRpcActor.java:302)
at
org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcMessage(AkkaRpcActor.java:217)
at
org.apache.flink.runtime.rpc.akka.FencedAkkaRpcActor.handleRpcMessage(FencedAkkaRpcActor.java:78)
at
org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleMessage(AkkaRpcActor.java:163)
at akka.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:24)
at akka.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:20)
at scala.PartialFunction.applyOrElse(PartialFunction.scala:127)
at scala.PartialFunction.applyOrElse$(PartialFunction.scala:126)
at akka.japi.pf.UnitCaseStatement.applyOrElse(CaseStatements.scala:20)
at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:175)
at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:176)
at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:176)
at akka.actor.Actor.aroundReceive(Actor.scala:537)
at akka.actor.Actor.aroundReceive$(Actor.scala:535)
at akka.actor.AbstractActor.aroundReceive(AbstractActor.scala:220)
at akka.actor.ActorCell.receiveMessage(ActorCell.scala:580)
at akka.actor.ActorCell.invoke(ActorCell.scala:548)
at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:270)
at akka.dispatch.Mailbox.run(Mailbox.scala:231)
at akka.dispatch.Mailbox.exec(Mailbox.scala:243)
at java.util.concurrent.ForkJoinTask.doExec(ForkJoinTask.java:290)
at
java.util.concurrent.ForkJoinPool$WorkQueue.topLevelExec(ForkJoinPool.java:1020)
at java.util.concurrent.ForkJoinPool.scan(ForkJoinPool.java:1656)
at java.util.concurrent.ForkJoinPool.runWorker(ForkJoinPool.java:1594)
at
java.util.concurrent.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:183)
Caused by: java.lang.OutOfMemoryError: Direct buffer memory. The direct
out-of-memory error has occurred. This can mean two things: either job(s)
require(s) a larger size of JVM direct memory or there is a direct memory leak.
The direct memory can be allocated by user code or some of its dependencies. In
this case 'taskmanager.memory.task.off-heap.size' configuration option should
be increased. Flink framework and its dependencies also consume the direct
memory, mostly for network communication. The most of network memory is managed
by Flink and should not result in out-of-memory error. In certain special
cases, in particular for jobs with high parallelism, the framework may require
more direct memory which is not managed by Flink. In this case
'taskmanager.memory.framework.off-heap.size' configuration option should be
increased. If the error persists then there is probably a direct memory leak in
user code or some of its dependencies which has to be investigated and fixed.
The task executor has to be shutdown...
at java.nio.Bits.reserveMemory(Bits.java:175)
at java.nio.DirectByteBuffer.<init>(DirectByteBuffer.java:118)
at java.nio.ByteBuffer.allocateDirect(ByteBuffer.java:317)
at
org.apache.beam.vendor.grpc.v1p48p1.io.netty.buffer.PoolArena$DirectArena.allocateDirect(PoolArena.java:649)
at
org.apache.beam.vendor.grpc.v1p48p1.io.netty.buffer.PoolArena$DirectArena.newChunk(PoolArena.java:624)
at
org.apache.beam.vendor.grpc.v1p48p1.io.netty.buffer.PoolArena.allocateNormal(PoolArena.java:203)
at
org.apache.beam.vendor.grpc.v1p48p1.io.netty.buffer.PoolArena.tcacheAllocateNormal(PoolArena.java:187)
at
org.apache.beam.vendor.grpc.v1p48p1.io.netty.buffer.PoolArena.allocate(PoolArena.java:136)
at
org.apache.beam.vendor.grpc.v1p48p1.io.netty.buffer.PoolArena.allocate(PoolArena.java:126)
at
org.apache.beam.vendor.grpc.v1p48p1.io.netty.buffer.PooledByteBufAllocator.newDirectBuffer(PooledByteBufAllocator.java:396)
at
org.apache.beam.vendor.grpc.v1p48p1.io.netty.buffer.AbstractByteBufAllocator.directBuffer(AbstractByteBufAllocator.java:188)
at
org.apache.beam.vendor.grpc.v1p48p1.io.netty.buffer.AbstractByteBufAllocator.buffer(AbstractByteBufAllocator.java:124)
at
org.apache.beam.vendor.grpc.v1p48p1.io.grpc.netty.NettyWritableBufferAllocator.allocate(NettyWritableBufferAllocator.java:51)
at
org.apache.beam.vendor.grpc.v1p48p1.io.grpc.internal.MessageFramer.writeRaw(MessageFramer.java:285)
at
org.apache.beam.vendor.grpc.v1p48p1.io.grpc.internal.MessageFramer.access$400(MessageFramer.java:43)
at
org.apache.beam.vendor.grpc.v1p48p1.io.grpc.internal.MessageFramer$OutputStreamAdapter.write(MessageFramer.java:375)
at
org.apache.beam.vendor.grpc.v1p48p1.com.google.protobuf.CodedOutputStream$OutputStreamEncoder.write(CodedOutputStream.java:2984)
at
org.apache.beam.vendor.grpc.v1p48p1.com.google.protobuf.CodedOutputStream$OutputStreamEncoder.writeLazy(CodedOutputStream.java:2992)
at
org.apache.beam.vendor.grpc.v1p48p1.com.google.protobuf.ByteString$LiteralByteString.writeTo(ByteString.java:1470)
at
org.apache.beam.vendor.grpc.v1p48p1.com.google.protobuf.RopeByteString.writeTo(RopeByteString.java:461)
at
org.apache.beam.vendor.grpc.v1p48p1.com.google.protobuf.RopeByteString.writeTo(RopeByteString.java:460)
at
org.apache.beam.vendor.grpc.v1p48p1.com.google.protobuf.RopeByteString.writeTo(RopeByteString.java:460)
at
org.apache.beam.vendor.grpc.v1p48p1.com.google.protobuf.RopeByteString.writeTo(RopeByteString.java:460)
at
org.apache.beam.vendor.grpc.v1p48p1.com.google.protobuf.RopeByteString.writeTo(RopeByteString.java:461)
at
org.apache.beam.vendor.grpc.v1p48p1.com.google.protobuf.RopeByteString.writeTo(RopeByteString.java:460)
at
org.apache.beam.vendor.grpc.v1p48p1.com.google.protobuf.RopeByteString.writeTo(RopeByteString.java:460)
at
org.apache.beam.vendor.grpc.v1p48p1.com.google.protobuf.RopeByteString.writeTo(RopeByteString.java:460)
at
org.apache.beam.vendor.grpc.v1p48p1.com.google.protobuf.RopeByteString.writeTo(RopeByteString.java:460)
at
org.apache.beam.vendor.grpc.v1p48p1.com.google.protobuf.RopeByteString.writeTo(RopeByteString.java:460)
at
org.apache.beam.vendor.grpc.v1p48p1.com.google.protobuf.RopeByteString.writeTo(RopeByteString.java:460)
at
org.apache.beam.vendor.grpc.v1p48p1.com.google.protobuf.RopeByteString.writeTo(RopeByteString.java:460)
at
org.apache.beam.vendor.grpc.v1p48p1.com.google.protobuf.RopeByteString.writeTo(RopeByteString.java:460)
at
org.apache.beam.vendor.grpc.v1p48p1.com.google.protobuf.RopeByteString.writeTo(RopeByteString.java:460)
at
org.apache.beam.vendor.grpc.v1p48p1.com.google.protobuf.RopeByteString.writeTo(RopeByteString.java:460)
at
org.apache.beam.vendor.grpc.v1p48p1.com.google.protobuf.RopeByteString.writeTo(RopeByteString.java:460)
at
org.apache.beam.vendor.grpc.v1p48p1.com.google.protobuf.RopeByteString.writeTo(RopeByteString.java:460)
at
org.apache.beam.vendor.grpc.v1p48p1.com.google.protobuf.RopeByteString.writeTo(RopeByteString.java:460)
at
org.apache.beam.vendor.grpc.v1p48p1.com.google.protobuf.RopeByteString.writeTo(RopeByteString.java:460)
at
org.apache.beam.vendor.grpc.v1p48p1.com.google.protobuf.CodedOutputStream$OutputStreamEncoder.writeBytesNoTag(CodedOutputStream.java:2780)
at
org.apache.beam.vendor.grpc.v1p48p1.com.google.protobuf.CodedOutputStream$OutputStreamEncoder.writeBytes(CodedOutputStream.java:2754)
at
org.apache.beam.model.fnexecution.v1.BeamFnApi$Elements$Data.writeTo(BeamFnApi.java:31639)
at
org.apache.beam.vendor.grpc.v1p48p1.com.google.protobuf.CodedOutputStream$OutputStreamEncoder.writeMessageNoTag(CodedOutputStream.java:2834)
at
org.apache.beam.vendor.grpc.v1p48p1.com.google.protobuf.CodedOutputStream$OutputStreamEncoder.writeMessage(CodedOutputStream.java:2803)
at
org.apache.beam.model.fnexecution.v1.BeamFnApi$Elements.writeTo(BeamFnApi.java:33712)
at
org.apache.beam.vendor.grpc.v1p48p1.com.google.protobuf.AbstractMessageLite.writeTo(AbstractMessageLite.java:83)
at
org.apache.beam.vendor.grpc.v1p48p1.io.grpc.protobuf.lite.ProtoInputStream.drainTo(ProtoInputStream.java:52)
at
org.apache.beam.vendor.grpc.v1p48p1.io.grpc.internal.MessageFramer.writeToOutputStream(MessageFramer.java:267)
at
org.apache.beam.vendor.grpc.v1p48p1.io.grpc.internal.MessageFramer.writeKnownLengthUncompressed(MessageFramer.java:229)
at
org.apache.beam.vendor.grpc.v1p48p1.io.grpc.internal.MessageFramer.writeUncompressed(MessageFramer.java:168)
at
org.apache.beam.vendor.grpc.v1p48p1.io.grpc.internal.MessageFramer.writePayload(MessageFramer.java:141)
at
org.apache.beam.vendor.grpc.v1p48p1.io.grpc.internal.AbstractStream.writeMessage(AbstractStream.java:65)
at
org.apache.beam.vendor.grpc.v1p48p1.io.grpc.internal.ServerCallImpl.sendMessageInternal(ServerCallImpl.java:171)
at
org.apache.beam.vendor.grpc.v1p48p1.io.grpc.internal.ServerCallImpl.sendMessage(ServerCallImpl.java:153)
at
org.apache.beam.vendor.grpc.v1p48p1.io.grpc.stub.ServerCalls$ServerCallStreamObserverImpl.onNext(ServerCalls.java:380)
at
org.apache.beam.sdk.fn.stream.DirectStreamObserver.onNext(DirectStreamObserver.java:108)
at
org.apache.beam.sdk.fn.data.BeamFnDataOutboundAggregator.flushInternal(BeamFnDataOutboundAggregator.java:169)
at
org.apache.beam.sdk.fn.data.BeamFnDataOutboundAggregator.access$400(BeamFnDataOutboundAggregator.java:65)
at
org.apache.beam.sdk.fn.data.BeamFnDataOutboundAggregator$Receiver.accept(BeamFnDataOutboundAggregator.java:349)
at
org.apache.beam.sdk.fn.data.BeamFnDataOutboundObserver.accept(BeamFnDataOutboundObserver.java:85)
at
org.apache.beam.runners.fnexecution.control.SdkHarnessClient$CountingFnDataReceiver.accept(SdkHarnessClient.java:716)
at
org.apache.beam.runners.flink.translation.functions.FlinkExecutableStageFunction.processElements(FlinkExecutableStageFunction.java:363)
at
org.apache.beam.runners.flink.translation.functions.FlinkExecutableStageFunction.mapPartition(FlinkExecutableStageFunction.java:268)
at
org.apache.flink.runtime.operators.MapPartitionDriver.run(MapPartitionDriver.java:113)
at org.apache.flink.runtime.operators.BatchTask.run(BatchTask.java:514)
at
org.apache.flink.runtime.operators.BatchTask.invoke(BatchTask.java:357)
at
org.apache.flink.runtime.taskmanager.Task.runWithSystemExitMonitoring(Task.java:948)
at
org.apache.flink.runtime.taskmanager.Task.restoreAndInvoke(Task.java:927)
at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:741)
at org.apache.flink.runtime.taskmanager.Task.run(Task.java:563)
at java.lang.Thread.run(Thread.java:829)
Suppressed: java.lang.IllegalStateException: call is closed
at
org.apache.beam.vendor.grpc.v1p48p1.com.google.common.base.Preconditions.checkState(Preconditions.java:502)
at
org.apache.beam.vendor.grpc.v1p48p1.io.grpc.internal.ServerCallImpl.sendMessageInternal(ServerCallImpl.java:161)
at
org.apache.beam.vendor.grpc.v1p48p1.io.grpc.internal.ServerCallImpl.sendMessage(ServerCallImpl.java:153)
at
org.apache.beam.vendor.grpc.v1p48p1.io.grpc.stub.ServerCalls$ServerCallStreamObserverImpl.onNext(ServerCalls.java:380)
at
org.apache.beam.sdk.fn.stream.DirectStreamObserver.onNext(DirectStreamObserver.java:108)
at
org.apache.beam.sdk.fn.data.BeamFnDataOutboundAggregator.sendOrCollectBufferedDataAndFinishOutboundStreams(BeamFnDataOutboundAggregator.java:219)
at
org.apache.beam.sdk.fn.data.BeamFnDataOutboundObserver.close(BeamFnDataOutboundObserver.java:71)
at
org.apache.beam.runners.fnexecution.control.SdkHarnessClient$CountingFnDataReceiver.close(SdkHarnessClient.java:727)
at
org.apache.beam.runners.fnexecution.control.SdkHarnessClient$BundleProcessor$ActiveBundle.close(SdkHarnessClient.java:492)
at
org.apache.beam.runners.fnexecution.control.DefaultJobBundleFactory$SimpleStageBundleFactory$1.close(DefaultJobBundleFactory.java:555)
at
org.apache.beam.runners.flink.translation.functions.FlinkExecutableStageFunction.$closeResource(FlinkExecutableStageFunction.java:269)
at
org.apache.beam.runners.flink.translation.functions.FlinkExecutableStageFunction.mapPartition(FlinkExecutableStageFunction.java:269)
... 8 more
Suppressed: java.lang.IllegalStateException: Processing bundle
failed, TODO: [https://github.com/apache/beam/issues/18756] abort bundle.
at
org.apache.beam.runners.fnexecution.control.SdkHarnessClient$BundleProcessor$ActiveBundle.close(SdkHarnessClient.java:517)
... 11 more
2022/12/03 08:39:22 (): java.lang.OutOfMemoryError: Direct buffer memory. The
direct out-of-memory error has occurred. This can mean two things: either
job(s) require(s) a larger size of JVM direct memory or there is a direct
memory leak. The direct memory can be allocated by user code or some of its
dependencies. In this case 'taskmanager.memory.task.off-heap.size'
configuration option should be increased. Flink framework and its dependencies
also consume the direct memory, mostly for network communication. The most of
network memory is managed by Flink and should not result in out-of-memory
error. In certain special cases, in particular for jobs with high parallelism,
the framework may require more direct memory which is not managed by Flink. In
this case 'taskmanager.memory.framework.off-heap.size' configuration option
should be increased. If the error persists then there is probably a direct
memory leak in user code or some of its dependencies which has to be
investigated and fixed. The task executor has to be shutdown...
2022/12/03 08:39:23 Job state: FAILED
2022/12/03 08:39:23 Failed to execute job: job
load0tests0go0flink0batch0cogbk0201203071054-root-1203082736-9d704148_60fd9c58-e7cd-449c-ba26-4676586e663f
failed
panic: Failed to execute job: job
load0tests0go0flink0batch0cogbk0201203071054-root-1203082736-9d704148_60fd9c58-e7cd-449c-ba26-4676586e663f
failed
goroutine 1 [running]:
github.com/apache/beam/sdks/v2/go/pkg/beam/log.Fatalf({0x17f5d28,
0xc00004e0c0}, {0x164a17d?, 0x227a8b8?}, {0xc000675e60?, 0x0?, 0x3e8?})
<https://ci-beam.apache.org/job/beam_LoadTests_Go_CoGBK_Flink_batch/ws/src/sdks/go/pkg/beam/log/log.go>:153
+0xa5
main.main()
<https://ci-beam.apache.org/job/beam_LoadTests_Go_CoGBK_Flink_batch/ws/src/sdks/go/test/load/cogbk/cogbk.go>:103
+0x4bb
> Task :sdks:go:test:load:run FAILED
FAILURE: Build failed with an exception.
* Where:
Build file
'<https://ci-beam.apache.org/job/beam_LoadTests_Go_CoGBK_Flink_batch/ws/src/sdks/go/test/load/build.gradle'>
line: 31
* What went wrong:
Execution failed for task ':sdks:go:test:load:run'.
> Process 'command 'sh'' finished with non-zero exit value 2
* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
* Get more help at https://help.gradle.org
BUILD FAILED in 12m 24s
12 actionable tasks: 6 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/gywenh2o4glw4
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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