Hey Gabor! What would be the easiest way for me to test the change locally? I guess now that it has been merged I could simply bump to the current snapshot version right? But what is the common approach for testing a change in a local project before it gets approved/merged?
BTW I was importing the Flink project into IntelliJ 2024.3 following this guide: - https://nightlies.apache.org/flink/flink-docs-master/docs/flinkdev/ide_setup/#importing-flink but when I click on "Generate Sources and Update Folders" I get the following errors: [INFO] Validation error: [ERROR] Failed to execute goal org.apache.rat:apache-rat-plugin:0.13:check (default) on project flink-parent: Cannot read header [ERROR] Maven server structure problem flink-rpc/flink-rpc-core/pom.xml (No such file or directory) however, the alternative command: mvn clean package -DskipTests runs fine in my terminal. Regards, Salva On Sun, Dec 8, 2024 at 12:06 PM Gabor Somogyi <gabor.g.somo...@gmail.com> wrote: > It would be good to report back whether it's solved your issue, but since > we've added automated test + I've tested it locally it's not urgent. > > On Sun, Dec 8, 2024 at 8:38 AM Salva Alcántara <salcantara...@gmail.com> > wrote: > >> Gabor, I took a look at your PR and it looks good to me but didn't test >> your changes locally. If still necessary, let me know and I'll find the >> time! >> >> >> On Fri, Dec 6, 2024 at 1:49 PM Gabor Somogyi <gabor.g.somo...@gmail.com> >> wrote: >> >>> Salva, I've tested the code by myslelf but do you have the possibility >>> to test this[1] fix? >>> >>> [1] https://github.com/apache/flink/pull/25755 >>> >>> G >>> >>> >>> On Thu, Dec 5, 2024 at 3:15 PM Gabor Somogyi <gabor.g.somo...@gmail.com> >>> wrote: >>> >>>> I'm intended to file a jira + PR. >>>> >>>> G >>>> >>>> >>>> On Thu, Dec 5, 2024 at 2:40 PM Salva Alcántara <salcantara...@gmail.com> >>>> wrote: >>>> >>>>> So what's next? Do you want me to do something Gabor? >>>>> >>>>> Regards, >>>>> >>>>> Salva >>>>> >>>>> On Thu, Dec 5, 2024, 13:48 Gabor Somogyi <gabor.g.somo...@gmail.com> >>>>> wrote: >>>>> >>>>>> Based on this I can confirm that the maxBatchSize and socketTimeout >>>>>> values are coming from default value Flink config is not considered. >>>>>> >>>>>> G >>>>>> >>>>>> >>>>>> On Thu, Dec 5, 2024 at 8:20 AM Salva Alcántara < >>>>>> salcantara...@gmail.com> wrote: >>>>>> >>>>>>> Sorry for my late reply Gabor, here you are the whole trace: >>>>>>> >>>>>>> SLF4J(W): No SLF4J providers were found. >>>>>>> SLF4J(W): Defaulting to no-operation (NOP) logger implementation >>>>>>> SLF4J(W): See https://www.slf4j.org/codes.html#noProviders for >>>>>>> further details. >>>>>>> SLF4J(W): Class path contains SLF4J bindings targeting slf4j-api >>>>>>> versions 1.7.x or earlier. >>>>>>> SLF4J(W): Ignoring binding found at >>>>>>> [jar:file:/private/var/tmp/_bazel_salva/d416ba92e8fb4416e3182f6204d8237a/external/maven/v1/https/ >>>>>>> repo1.maven.org/maven2/org/apache/logging/log4j/log4j-slf4j-impl/2.17.1/log4j-slf4j-impl-2.17.1.jar!/org/slf4j/impl/StaticLoggerBinder.class >>>>>>> ] >>>>>>> SLF4J(W): See https://www.slf4j.org/codes.html#ignoredBindings for >>>>>>> an explanation. >>>>>>> WARNING: An illegal reflective access operation has occurred >>>>>>> WARNING: Illegal reflective access by >>>>>>> com.twitter.chill.java.ArraysAsListSerializer >>>>>>> (file:/private/var/tmp/_bazel_salva/d416ba92e8fb4416e3182f6204d8237a/external/maven/v1/https/ >>>>>>> repo1.maven.org/maven2/com/twitter/chill-java/0.7.6/chill-java-0.7.6.jar) >>>>>>> to field java.util.Arrays$ArrayList.a >>>>>>> WARNING: Please consider reporting this to the maintainers of >>>>>>> com.twitter.chill.java.ArraysAsListSerializer >>>>>>> WARNING: Use --illegal-access=warn to enable warnings of further >>>>>>> illegal reflective access operations >>>>>>> WARNING: All illegal access operations will be denied in a future >>>>>>> release >>>>>>> Exception in thread "main" java.lang.RuntimeException: Failed to >>>>>>> fetch next result >>>>>>> at >>>>>>> org.apache.flink.streaming.api.operators.collect.CollectResultIterator.nextResultFromFetcher(CollectResultIterator.java:109) >>>>>>> at >>>>>>> org.apache.flink.streaming.api.operators.collect.CollectResultIterator.hasNext(CollectResultIterator.java:80) >>>>>>> at >>>>>>> org.apache.flink.streaming.api.datastream.DataStream.executeAndCollect(DataStream.java:1365) >>>>>>> at >>>>>>> org.apache.flink.streaming.api.datastream.DataStream.executeAndCollect(DataStream.java:1348) >>>>>>> at >>>>>>> com.auvik.platform.triggering.statecli.savepoint.SavepointReader.run(SavepointReader.java:41) >>>>>>> at >>>>>>> com.auvik.platform.triggering.statecli.savepoint.SavepointReader.main(SavepointReader.java:33) >>>>>>> Caused by: java.io.IOException: Failed to fetch job execution result >>>>>>> at >>>>>>> org.apache.flink.streaming.api.operators.collect.CollectResultFetcher.getAccumulatorResults(CollectResultFetcher.java:185) >>>>>>> at >>>>>>> org.apache.flink.streaming.api.operators.collect.CollectResultFetcher.next(CollectResultFetcher.java:121) >>>>>>> at >>>>>>> org.apache.flink.streaming.api.operators.collect.CollectResultIterator.nextResultFromFetcher(CollectResultIterator.java:106) >>>>>>> ... 5 more >>>>>>> Caused by: java.util.concurrent.ExecutionException: >>>>>>> org.apache.flink.runtime.client.JobExecutionException: Job execution >>>>>>> failed. >>>>>>> at >>>>>>> java.base/java.util.concurrent.CompletableFuture.reportGet(CompletableFuture.java:395) >>>>>>> at >>>>>>> java.base/java.util.concurrent.CompletableFuture.get(CompletableFuture.java:2022) >>>>>>> at >>>>>>> org.apache.flink.streaming.api.operators.collect.CollectResultFetcher.getAccumulatorResults(CollectResultFetcher.java:183) >>>>>>> ... 7 more >>>>>>> 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.runtime.minicluster.MiniClusterJobClient.lambda$getJobExecutionResult$3(MiniClusterJobClient.java:141) >>>>>>> at >>>>>>> java.base/java.util.concurrent.CompletableFuture.uniApplyNow(CompletableFuture.java:680) >>>>>>> at >>>>>>> java.base/java.util.concurrent.CompletableFuture.uniApplyStage(CompletableFuture.java:658) >>>>>>> at >>>>>>> java.base/java.util.concurrent.CompletableFuture.thenApply(CompletableFuture.java:2094) >>>>>>> at >>>>>>> org.apache.flink.runtime.minicluster.MiniClusterJobClient.getJobExecutionResult(MiniClusterJobClient.java:138) >>>>>>> at >>>>>>> org.apache.flink.streaming.api.operators.collect.CollectResultFetcher.getAccumulatorResults(CollectResultFetcher.java:182) >>>>>>> ... 7 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:176) >>>>>>> at >>>>>>> org.apache.flink.runtime.executiongraph.failover.flip1.ExecutionFailureHandler.getFailureHandlingResult(ExecutionFailureHandler.java:107) >>>>>>> at >>>>>>> org.apache.flink.runtime.scheduler.DefaultScheduler.recordTaskFailure(DefaultScheduler.java:285) >>>>>>> at >>>>>>> org.apache.flink.runtime.scheduler.DefaultScheduler.handleTaskFailure(DefaultScheduler.java:276) >>>>>>> at >>>>>>> org.apache.flink.runtime.scheduler.DefaultScheduler.onTaskFailed(DefaultScheduler.java:269) >>>>>>> at >>>>>>> org.apache.flink.runtime.scheduler.SchedulerBase.onTaskExecutionStateUpdate(SchedulerBase.java:764) >>>>>>> at >>>>>>> org.apache.flink.runtime.scheduler.SchedulerBase.updateTaskExecutionState(SchedulerBase.java:741) >>>>>>> at >>>>>>> org.apache.flink.runtime.scheduler.SchedulerNG.updateTaskExecutionState(SchedulerNG.java:83) >>>>>>> at >>>>>>> org.apache.flink.runtime.jobmaster.JobMaster.updateTaskExecutionState(JobMaster.java:488) >>>>>>> at >>>>>>> jdk.internal.reflect.GeneratedMethodAccessor14.invoke(Unknown Source) >>>>>>> at >>>>>>> java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) >>>>>>> at java.base/java.lang.reflect.Method.invoke(Method.java:566) >>>>>>> at >>>>>>> org.apache.flink.runtime.rpc.pekko.PekkoRpcActor.lambda$handleRpcInvocation$1(PekkoRpcActor.java:309) >>>>>>> at >>>>>>> org.apache.flink.runtime.concurrent.ClassLoadingUtils.runWithContextClassLoader(ClassLoadingUtils.java:83) >>>>>>> at >>>>>>> org.apache.flink.runtime.rpc.pekko.PekkoRpcActor.handleRpcInvocation(PekkoRpcActor.java:307) >>>>>>> at >>>>>>> org.apache.flink.runtime.rpc.pekko.PekkoRpcActor.handleRpcMessage(PekkoRpcActor.java:222) >>>>>>> at >>>>>>> org.apache.flink.runtime.rpc.pekko.FencedPekkoRpcActor.handleRpcMessage(FencedPekkoRpcActor.java:85) >>>>>>> at >>>>>>> org.apache.flink.runtime.rpc.pekko.PekkoRpcActor.handleMessage(PekkoRpcActor.java:168) >>>>>>> at >>>>>>> org.apache.pekko.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:33) >>>>>>> at >>>>>>> org.apache.pekko.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:29) >>>>>>> at >>>>>>> scala.PartialFunction.applyOrElse(PartialFunction.scala:127) >>>>>>> at >>>>>>> scala.PartialFunction.applyOrElse$(PartialFunction.scala:126) >>>>>>> at >>>>>>> org.apache.pekko.japi.pf.UnitCaseStatement.applyOrElse(CaseStatements.scala:29) >>>>>>> at >>>>>>> scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:175) >>>>>>> at >>>>>>> scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:176) >>>>>>> at >>>>>>> scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:176) >>>>>>> at >>>>>>> org.apache.pekko.actor.Actor.aroundReceive(Actor.scala:547) >>>>>>> at >>>>>>> org.apache.pekko.actor.Actor.aroundReceive$(Actor.scala:545) >>>>>>> at >>>>>>> org.apache.pekko.actor.AbstractActor.aroundReceive(AbstractActor.scala:229) >>>>>>> at >>>>>>> org.apache.pekko.actor.ActorCell.receiveMessage(ActorCell.scala:590) >>>>>>> at >>>>>>> org.apache.pekko.actor.ActorCell.invoke(ActorCell.scala:557) >>>>>>> at >>>>>>> org.apache.pekko.dispatch.Mailbox.processMailbox(Mailbox.scala:280) >>>>>>> at org.apache.pekko.dispatch.Mailbox.run(Mailbox.scala:241) >>>>>>> at org.apache.pekko.dispatch.Mailbox.exec(Mailbox.scala:253) >>>>>>> at >>>>>>> java.base/java.util.concurrent.ForkJoinTask.doExec(ForkJoinTask.java:290) >>>>>>> at >>>>>>> java.base/java.util.concurrent.ForkJoinPool$WorkQueue.topLevelExec(ForkJoinPool.java:1020) >>>>>>> at >>>>>>> java.base/java.util.concurrent.ForkJoinPool.scan(ForkJoinPool.java:1656) >>>>>>> at >>>>>>> java.base/java.util.concurrent.ForkJoinPool.runWorker(ForkJoinPool.java:1594) >>>>>>> at >>>>>>> java.base/java.util.concurrent.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:183) >>>>>>> Caused by: java.lang.RuntimeException: Record size is too large for >>>>>>> CollectSinkFunction. Record size is 7462652 bytes, but max bytes per >>>>>>> batch >>>>>>> is only 2097152 bytes. Please consider increasing max bytes per batch >>>>>>> value >>>>>>> by setting collect-sink.batch-size.max >>>>>>> at >>>>>>> org.apache.flink.streaming.api.operators.collect.CollectSinkFunction.invoke(CollectSinkFunction.java:285) >>>>>>> at >>>>>>> org.apache.flink.streaming.api.operators.StreamSink.processElement(StreamSink.java:54) >>>>>>> at >>>>>>> org.apache.flink.streaming.runtime.tasks.OneInputStreamTask$StreamTaskNetworkOutput.emitRecord(OneInputStreamTask.java:237) >>>>>>> at >>>>>>> org.apache.flink.streaming.runtime.io.AbstractStreamTaskNetworkInput.processElement(AbstractStreamTaskNetworkInput.java:146) >>>>>>> at >>>>>>> org.apache.flink.streaming.runtime.io.AbstractStreamTaskNetworkInput.emitNext(AbstractStreamTaskNetworkInput.java:110) >>>>>>> at >>>>>>> org.apache.flink.streaming.runtime.io.StreamOneInputProcessor.processInput(StreamOneInputProcessor.java:65) >>>>>>> at >>>>>>> org.apache.flink.streaming.runtime.tasks.StreamTask.processInput(StreamTask.java:562) >>>>>>> at >>>>>>> org.apache.flink.streaming.runtime.tasks.mailbox.MailboxProcessor.runMailboxLoop(MailboxProcessor.java:231) >>>>>>> at >>>>>>> org.apache.flink.streaming.runtime.tasks.StreamTask.runMailboxLoop(StreamTask.java:858) >>>>>>> at >>>>>>> org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:807) >>>>>>> at >>>>>>> org.apache.flink.runtime.taskmanager.Task.runWithSystemExitMonitoring(Task.java:953) >>>>>>> at >>>>>>> org.apache.flink.runtime.taskmanager.Task.restoreAndInvoke(Task.java:932) >>>>>>> at >>>>>>> org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:746) >>>>>>> at >>>>>>> org.apache.flink.runtime.taskmanager.Task.run(Task.java:562) >>>>>>> at java.base/java.lang.Thread.run(Thread.java:829) >>>>>>> >>>>>>> On Mon, Jul 29, 2024 at 11:06 AM Gabor Somogyi < >>>>>>> gabor.g.somo...@gmail.com> wrote: >>>>>>> >>>>>>>> I've double checked and I think that CollectSinkOperatorFactory is >>>>>>>> initialized in DataStream.collectAsync without MAX_BATCH_SIZE >>>>>>>> and SOCKET_TIMEOUT values coming from the Flink config. >>>>>>>> Could you plz share the whole stacktrace to double check my >>>>>>>> assumption? >>>>>>>> >>>>>>>> G >>>>>>>> >>>>>>>> >>>>>>>> On Tue, Jul 23, 2024 at 12:46 PM Salva Alcántara < >>>>>>>> salcantara...@gmail.com> wrote: >>>>>>>> >>>>>>>>> Hi all, >>>>>>>>> >>>>>>>>> Just to share my findings so far. Regarding tweaking the setting, >>>>>>>>> it has been impossible for me to do so. So, the only way to work >>>>>>>>> around >>>>>>>>> this has been to duplicate some Flink code directly to allow me to do >>>>>>>>> the >>>>>>>>> tweak. More precisely, this is how my code looks like now (kudos to >>>>>>>>> my dear >>>>>>>>> colleague Den!): >>>>>>>>> >>>>>>>>> ``` >>>>>>>>> private static <T> List<T> executeAndCollect(DataStream<T> >>>>>>>>> dataStream, StreamExecutionEnvironment env, >>>>>>>>> String >>>>>>>>> maxBatchSize, int limit) throws Exception { >>>>>>>>> >>>>>>>>> TypeSerializer<T> serializer = >>>>>>>>> dataStream.getType().createSerializer(env.getConfig()); >>>>>>>>> String accumulatorName = "dataStreamCollect_" + >>>>>>>>> UUID.randomUUID(); >>>>>>>>> >>>>>>>>> CollectSinkOperatorFactory<T> factory = >>>>>>>>> new CollectSinkOperatorFactory<>(serializer, >>>>>>>>> accumulatorName, MemorySize.parse(maxBatchSize), >>>>>>>>> SOCKET_TIMEOUT.defaultValue()); >>>>>>>>> CollectSinkOperator<MatcherState> operator = >>>>>>>>> (CollectSinkOperator<MatcherState>) factory.getOperator(); >>>>>>>>> CollectResultIterator<T> iterator = >>>>>>>>> new CollectResultIterator<>( >>>>>>>>> operator.getOperatorIdFuture(), >>>>>>>>> serializer, >>>>>>>>> accumulatorName, >>>>>>>>> env.getCheckpointConfig()); >>>>>>>>> CollectStreamSink<T> sink = new >>>>>>>>> CollectStreamSink<>(dataStream, factory); >>>>>>>>> sink.name("Data stream collect sink"); >>>>>>>>> env.addOperator(sink.getTransformation()); >>>>>>>>> >>>>>>>>> final JobClient jobClient = env.executeAsync("DataStream >>>>>>>>> Collect"); >>>>>>>>> iterator.setJobClient(jobClient); >>>>>>>>> >>>>>>>>> var clientAndIterator = new ClientAndIterator<>(jobClient, >>>>>>>>> iterator); >>>>>>>>> List<T> results = new ArrayList<>(limit); >>>>>>>>> while (limit > 0 && clientAndIterator.iterator.hasNext()) { >>>>>>>>> results.add(clientAndIterator.iterator.next()); >>>>>>>>> limit--; >>>>>>>>> } >>>>>>>>> return results; >>>>>>>>> } >>>>>>>>> ``` >>>>>>>>> >>>>>>>>> Essentially, I'm just adding a parameter to the >>>>>>>>> CollectSinkOperatorFactory constructor here: >>>>>>>>> - >>>>>>>>> https://github.com/apache/flink/blob/release-1.15.4/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/DataStream.java#L1378 >>>>>>>>> >>>>>>>>> This works but it's obviously inconvenient for the user. If this >>>>>>>>> limitation is confirmed, Den and I will be glad to send a MR to fix >>>>>>>>> that. >>>>>>>>> >>>>>>>>> Makes sense? >>>>>>>>> >>>>>>>>> Regards, >>>>>>>>> >>>>>>>>> Salva >>>>>>>>> >>>>>>>>> On Mon, Jul 22, 2024 at 10:04 AM Salva Alcántara < >>>>>>>>> salcantara...@gmail.com> wrote: >>>>>>>>> >>>>>>>>>> The same happens with this slight variation: >>>>>>>>>> >>>>>>>>>> ``` >>>>>>>>>> Configuration config = new Configuration(); >>>>>>>>>> config.setString("collect-sink.batch-size.max", "100mb"); >>>>>>>>>> StreamExecutionEnvironment env = >>>>>>>>>> StreamExecutionEnvironment.getExecutionEnvironment(); >>>>>>>>>> env.configure(config); >>>>>>>>>> SavepointReader savepoint = SavepointReader.read(env, >>>>>>>>>> savepointPath, new HashMapStateBackend()); >>>>>>>>>> ``` >>>>>>>>>> >>>>>>>>>> Salva >>>>>>>>>> >>>>>>>>>> On Mon, Jul 22, 2024 at 10:00 AM Salva Alcántara < >>>>>>>>>> salcantara...@gmail.com> wrote: >>>>>>>>>> >>>>>>>>>>> Hi Zhanghao, >>>>>>>>>>> >>>>>>>>>>> Thanks for your suggestion. Unfortunately, this does not work, I >>>>>>>>>>> still get the same error message: >>>>>>>>>>> >>>>>>>>>>> ``` >>>>>>>>>>> Record size is too large for CollectSinkFunction. Record size is >>>>>>>>>>> 9623137 bytes, but max bytes per batch is only 2097152 bytes. >>>>>>>>>>> Please consider increasing max bytes per batch value by setting >>>>>>>>>>> collect-sink.batch-size.max >>>>>>>>>>> ``` >>>>>>>>>>> >>>>>>>>>>> The code looks like this now: >>>>>>>>>>> >>>>>>>>>>> ``` >>>>>>>>>>> Configuration config = new Configuration(); >>>>>>>>>>> config.setString("collect-sink.batch-size.max", "10mb"); >>>>>>>>>>> StreamExecutionEnvironment env = >>>>>>>>>>> StreamExecutionEnvironment.getExecutionEnvironment(config); >>>>>>>>>>> SavepointReader savepoint = SavepointReader.read(env, >>>>>>>>>>> savepointPath, new HashMapStateBackend()); >>>>>>>>>>> >>>>>>>>>>> var matcher = savepoint.readKeyedState("Raw Triggers", new >>>>>>>>>>> MatcherReader()); >>>>>>>>>>> var matcherState = matcher.executeAndCollect(1000); >>>>>>>>>>> ``` >>>>>>>>>>> >>>>>>>>>>> I have tried other ways but none has worked (the setting is >>>>>>>>>>> always ignored in the end). >>>>>>>>>>> >>>>>>>>>>> Regards, >>>>>>>>>>> >>>>>>>>>>> Salva >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> On Sun, Jul 21, 2024 at 9:10 AM Zhanghao Chen < >>>>>>>>>>> zhanghao.c...@outlook.com> wrote: >>>>>>>>>>> >>>>>>>>>>>> Hi, you could increase it as follows: >>>>>>>>>>>> >>>>>>>>>>>> Configuration config = new Configuration(); >>>>>>>>>>>> config.setString(collect-sink.batch-size.max, "10mb"); >>>>>>>>>>>> StreamExecutionEnvironment env = >>>>>>>>>>>> StreamExecutionEnvironment.getExecutionEnvironment(config); >>>>>>>>>>>> ------------------------------ >>>>>>>>>>>> *From:* Salva Alcántara <salcantara...@gmail.com> >>>>>>>>>>>> *Sent:* Saturday, July 20, 2024 15:05 >>>>>>>>>>>> *To:* user <user@flink.apache.org> >>>>>>>>>>>> *Subject:* SavepointReader: Record size is too large for >>>>>>>>>>>> CollectSinkFunction >>>>>>>>>>>> >>>>>>>>>>>> Hi all! >>>>>>>>>>>> >>>>>>>>>>>> I'm trying to debug a job via inspecting its savepoints but I'm >>>>>>>>>>>> getting this error message: >>>>>>>>>>>> >>>>>>>>>>>> ``` >>>>>>>>>>>> Caused by: java.lang.RuntimeException: Record size is too large >>>>>>>>>>>> for CollectSinkFunction. Record size is 9627127 bytes, but max >>>>>>>>>>>> bytes per >>>>>>>>>>>> batch is only 2097152 bytes. Please consider increasing max bytes >>>>>>>>>>>> per batch >>>>>>>>>>>> value by setting collect-sink.batch-size.max >>>>>>>>>>>> ``` >>>>>>>>>>>> >>>>>>>>>>>> My code looks like this: >>>>>>>>>>>> >>>>>>>>>>>> ``` >>>>>>>>>>>> private static void run(String savepointPath) throws >>>>>>>>>>>> Exception { >>>>>>>>>>>> StreamExecutionEnvironment env = >>>>>>>>>>>> StreamExecutionEnvironment.getExecutionEnvironment(); >>>>>>>>>>>> org.apache.flink.state.api.SavepointReader savepoint = >>>>>>>>>>>> org.apache.flink.state.api.SavepointReader.read(env, >>>>>>>>>>>> savepointPath, new HashMapStateBackend()); >>>>>>>>>>>> >>>>>>>>>>>> var operator = savepoint.readKeyedState("uuid", new >>>>>>>>>>>> MyKeyedOperatorReader()); >>>>>>>>>>>> var operatorState = matcher.executeAndCollect(1000); >>>>>>>>>>>> } >>>>>>>>>>>> ``` >>>>>>>>>>>> >>>>>>>>>>>> I haven't found the way to increase the >>>>>>>>>>>> `collect-sink.batch-size.max` as suggested in the error msg. >>>>>>>>>>>> >>>>>>>>>>>> Any help on this will be appreciated! >>>>>>>>>>>> >>>>>>>>>>>> Regards, >>>>>>>>>>>> >>>>>>>>>>>> Salva >>>>>>>>>>>> >>>>>>>>>>>
