Seems like Java dependency is not being properly set up when running the
cross-language Kafka step. I don't think this was available for Beam 2.21.
Can you try with the latest Beam HEAD or Beam 2.22 when it's released ?
+Heejong Lee <heej...@google.com>
On Mon, Jun 8, 2020 at 12:39 PM Piotr Filipiuk <piotr.filip...@gmail.com>
wrote:
> Pasting the error inline:
>
> ERROR:root:severity: ERROR
> timestamp {
> seconds: 1591405163
> nanos: 815000000
> }
> message: "Client failed to dequeue and process the value"
> trace: "org.apache.beam.sdk.util.UserCodeException:
> java.lang.NoClassDefFoundError:
> org/springframework/expression/EvaluationContext\n\tat
> org.apache.beam.sdk.util.UserCodeException.wrap(UserCodeException.java:36)\n\tat
> org.apache.beam.sdk.io.Read$UnboundedSourceAsSDFWrapperFn$DoFnInvoker.invokeGetSize(Unknown
> Source)\n\tat
> org.apache.beam.fn.harness.FnApiDoFnRunner$2.outputWithTimestamp(FnApiDoFnRunner.java:497)\n\tat
> org.apache.beam.fn.harness.FnApiDoFnRunner$ProcessBundleContext.output(FnApiDoFnRunner.java:1335)\n\tat
> org.apache.beam.sdk.transforms.DoFnOutputReceivers$WindowedContextOutputReceiver.output(DoFnOutputReceivers.java:75)\n\tat
> org.apache.beam.sdk.io.Read$UnboundedSourceAsSDFWrapperFn.splitRestriction(Read.java:504)\n\tat
> org.apache.beam.sdk.io.Read$UnboundedSourceAsSDFWrapperFn$DoFnInvoker.invokeSplitRestriction(Unknown
> Source)\n\tat
> org.apache.beam.fn.harness.FnApiDoFnRunner.processElementForSplitRestriction(FnApiDoFnRunner.java:715)\n\tat
> org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:216)\n\tat
> org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:179)\n\tat
> org.apache.beam.fn.harness.FnApiDoFnRunner.outputTo(FnApiDoFnRunner.java:874)\n\tat
> org.apache.beam.fn.harness.FnApiDoFnRunner.processElementForPairWithRestriction(FnApiDoFnRunner.java:688)\n\tat
> org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:216)\n\tat
> org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:179)\n\tat
> org.apache.beam.fn.harness.FnApiDoFnRunner.outputTo(FnApiDoFnRunner.java:874)\n\tat
> org.apache.beam.fn.harness.FnApiDoFnRunner.access$600(FnApiDoFnRunner.java:121)\n\tat
> org.apache.beam.fn.harness.FnApiDoFnRunner$ProcessBundleContext.outputWithTimestamp(FnApiDoFnRunner.java:1340)\n\tat
> org.apache.beam.fn.harness.FnApiDoFnRunner$ProcessBundleContext.output(FnApiDoFnRunner.java:1335)\n\tat
> org.apache.beam.sdk.transforms.DoFnOutputReceivers$WindowedContextOutputReceiver.output(DoFnOutputReceivers.java:75)\n\tat
> org.apache.beam.sdk.transforms.MapElements$1.processElement(MapElements.java:139)\n\tat
> org.apache.beam.sdk.transforms.MapElements$1$DoFnInvoker.invokeProcessElement(Unknown
> Source)\n\tat
> org.apache.beam.fn.harness.FnApiDoFnRunner.processElementForParDo(FnApiDoFnRunner.java:672)\n\tat
> org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:216)\n\tat
> org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:179)\n\tat
> org.apache.beam.fn.harness.BeamFnDataReadRunner.forwardElementToConsumer(BeamFnDataReadRunner.java:177)\n\tat
> org.apache.beam.fn.harness.data.QueueingBeamFnDataClient.drainAndBlock(QueueingBeamFnDataClient.java:106)\n\tat
> org.apache.beam.fn.harness.control.ProcessBundleHandler.processBundle(ProcessBundleHandler.java:294)\n\tat
> org.apache.beam.fn.harness.control.BeamFnControlClient.delegateOnInstructionRequestType(BeamFnControlClient.java:173)\n\tat
> org.apache.beam.fn.harness.control.BeamFnControlClient.lambda$processInstructionRequests$0(BeamFnControlClient.java:157)\n\tat
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)\n\tat
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)\n\tat
> java.lang.Thread.run(Thread.java:748)\nCaused by:
> java.lang.NoClassDefFoundError:
> org/springframework/expression/EvaluationContext\n\tat
> org.apache.beam.sdk.io.kafka.KafkaUnboundedReader.<init>(KafkaUnboundedReader.java:478)\n\tat
> org.apache.beam.sdk.io.kafka.KafkaUnboundedSource.createReader(KafkaUnboundedSource.java:121)\n\tat
> org.apache.beam.sdk.io.kafka.KafkaUnboundedSource.createReader(KafkaUnboundedSource.java:43)\n\tat
> org.apache.beam.sdk.io.Read$UnboundedSourceAsSDFWrapperFn.getSize(Read.java:465)\nCaused
> by: java.lang.ClassNotFoundException:
> org.springframework.expression.EvaluationContext\n\tat
> java.net.URLClassLoader.findClass(URLClassLoader.java:382)\n\tat
> java.lang.ClassLoader.loadClass(ClassLoader.java:419)\n\tat
> sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)\n\tat
> java.lang.ClassLoader.loadClass(ClassLoader.java:352)\n\tat
> org.apache.beam.sdk.io.kafka.KafkaUnboundedReader.<init>(KafkaUnboundedReader.java:478)\n\tat
> org.apache.beam.sdk.io.kafka.KafkaUnboundedSource.createReader(KafkaUnboundedSource.java:121)\n\tat
> org.apache.beam.sdk.io.kafka.KafkaUnboundedSource.createReader(KafkaUnboundedSource.java:43)\n\tat
> org.apache.beam.sdk.io.Read$UnboundedSourceAsSDFWrapperFn.getSize(Read.java:465)\n\tat
> org.apache.beam.sdk.io.Read$UnboundedSourceAsSDFWrapperFn$DoFnInvoker.invokeGetSize(Unknown
> Source)\n\tat
> org.apache.beam.fn.harness.FnApiDoFnRunner$2.outputWithTimestamp(FnApiDoFnRunner.java:497)\n\tat
> org.apache.beam.fn.harness.FnApiDoFnRunner$ProcessBundleContext.output(FnApiDoFnRunner.java:1335)\n\tat
> org.apache.beam.sdk.transforms.DoFnOutputReceivers$WindowedContextOutputReceiver.output(DoFnOutputReceivers.java:75)\n\tat
> org.apache.beam.sdk.io.Read$UnboundedSourceAsSDFWrapperFn.splitRestriction(Read.java:504)\n\tat
> org.apache.beam.sdk.io.Read$UnboundedSourceAsSDFWrapperFn$DoFnInvoker.invokeSplitRestriction(Unknown
> Source)\n\tat
> org.apache.beam.fn.harness.FnApiDoFnRunner.processElementForSplitRestriction(FnApiDoFnRunner.java:715)\n\tat
> org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:216)\n\tat
> org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:179)\n\tat
> org.apache.beam.fn.harness.FnApiDoFnRunner.outputTo(FnApiDoFnRunner.java:874)\n\tat
> org.apache.beam.fn.harness.FnApiDoFnRunner.processElementForPairWithRestriction(FnApiDoFnRunner.java:688)\n\tat
> org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:216)\n\tat
> org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:179)\n\tat
> org.apache.beam.fn.harness.FnApiDoFnRunner.outputTo(FnApiDoFnRunner.java:874)\n\tat
> org.apache.beam.fn.harness.FnApiDoFnRunner.access$600(FnApiDoFnRunner.java:121)\n\tat
> org.apache.beam.fn.harness.FnApiDoFnRunner$ProcessBundleContext.outputWithTimestamp(FnApiDoFnRunner.java:1340)\n\tat
> org.apache.beam.fn.harness.FnApiDoFnRunner$ProcessBundleContext.output(FnApiDoFnRunner.java:1335)\n\tat
> org.apache.beam.sdk.transforms.DoFnOutputReceivers$WindowedContextOutputReceiver.output(DoFnOutputReceivers.java:75)\n\tat
> org.apache.beam.sdk.transforms.MapElements$1.processElement(MapElements.java:139)\n\tat
> org.apache.beam.sdk.transforms.MapElements$1$DoFnInvoker.invokeProcessElement(Unknown
> Source)\n\tat
> org.apache.beam.fn.harness.FnApiDoFnRunner.processElementForParDo(FnApiDoFnRunner.java:672)\n\tat
> org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:216)\n\tat
> org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:179)\n\tat
> org.apache.beam.fn.harness.BeamFnDataReadRunner.forwardElementToConsumer(BeamFnDataReadRunner.java:177)\n\tat
> org.apache.beam.fn.harness.data.QueueingBeamFnDataClient.drainAndBlock(QueueingBeamFnDataClient.java:106)\n\tat
> org.apache.beam.fn.harness.control.ProcessBundleHandler.processBundle(ProcessBundleHandler.java:294)\n\tat
> org.apache.beam.fn.harness.control.BeamFnControlClient.delegateOnInstructionRequestType(BeamFnControlClient.java:173)\n\tat
> org.apache.beam.fn.harness.control.BeamFnControlClient.lambda$processInstructionRequests$0(BeamFnControlClient.java:157)\n\tat
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)\n\tat
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)\n\tat
> java.lang.Thread.run(Thread.java:748)\n"
> log_location: "org.apache.beam.fn.harness.data.QueueingBeamFnDataClient"
>
> On Fri, Jun 5, 2020 at 3:57 PM Piotr Filipiuk <piotr.filip...@gmail.com>
> wrote:
>
>> Thank you for the suggestions.
>>
>> Neither Kafka nor Flink run in a docker container, they all run locally.
>> Furthermore, the same issue happens for Direct Runner. That being said
>> changing from localhost:$PORT to $IP_ADDR:$PORT resulted in a different
>> error, see attached.
>>
>> On Fri, Jun 5, 2020 at 3:47 PM Venkat Muthuswamy <
>> venkat_pack...@yahoo.com> wrote:
>>
>>> Is Kafka itself running inside another container? If so inspect that
>>> container and see if it has a network alias and add that alias to your
>>> /etc/hosts file and map it to 127.0.0.1.
>>>
>>>
>>>
>>> *From:* Chamikara Jayalath <chamik...@google.com>
>>> *Sent:* Friday, June 5, 2020 2:58 PM
>>> *To:* Luke Cwik <lc...@google.com>
>>> *Cc:* user <user@beam.apache.org>; dev <d...@beam.apache.org>; Heejong
>>> Lee <heej...@google.com>
>>> *Subject:* Re: Python SDK ReadFromKafka: Timeout expired while fetching
>>> topic metadata
>>>
>>>
>>>
>>> Is it possible that "'localhost:9092'" is not available from the Docker
>>> environment where the Flink step is executed from ? Can you try specifying
>>> the actual IP address of the node running the Kafka broker ?
>>>
>>>
>>>
>>> On Fri, Jun 5, 2020 at 2:53 PM Luke Cwik <lc...@google.com> wrote:
>>>
>>> +dev <d...@beam.apache.org> +Chamikara Jayalath <chamik...@google.com>
>>> +Heejong
>>> Lee <heej...@google.com>
>>>
>>>
>>>
>>> On Fri, Jun 5, 2020 at 8:29 AM Piotr Filipiuk <piotr.filip...@gmail.com>
>>> wrote:
>>>
>>> I am unable to read from Kafka and getting the following warnings &
>>> errors when calling kafka.ReadFromKafka() (Python SDK):
>>>
>>>
>>>
>>> WARNING:root:severity: WARN
>>> timestamp {
>>> seconds: 1591370012
>>> nanos: 523000000
>>> }
>>> message: "[Consumer clientId=consumer-2, groupId=] Connection to node -1
>>> could not be established. Broker may not be available."
>>> log_location: "org.apache.kafka.clients.NetworkClient"
>>> thread: "18"
>>>
>>>
>>>
>>> Finally the pipeline fails with:
>>>
>>>
>>>
>>> RuntimeError: org.apache.beam.sdk.util.UserCodeException:
>>> java.lang.RuntimeException:
>>> org.apache.kafka.common.errors.TimeoutException: Timeout expired while
>>> fetching topic metadata
>>>
>>>
>>>
>>> See more complete log attached.
>>>
>>>
>>>
>>> The relevant code snippet:
>>>
>>>
>>>
>>> consumer_conf = {"bootstrap.servers": 'localhost:9092'}
>>>
>>> ...
>>>
>>> kafka.ReadFromKafka(
>>> consumer_config=consumer_conf,
>>> topics=[args.topic],
>>>
>>> )
>>>
>>> ...
>>>
>>>
>>>
>>> Also see full python script attached.
>>>
>>>
>>>
>>> I am using Beam Version: 2.21.0 and DirectRunner. For Flink Runner I am
>>> also not able to read from topic.
>>>
>>>
>>>
>>> I am using kafka 2.5.0 and started the broker by following
>>> https://kafka.apache.org/quickstart - using default
>>> config/server.properties.
>>>
>>>
>>>
>>> Everything runs locally, and I verified that I can publish&consume from
>>> that topic using confluent_kafka library.
>>>
>>>
>>>
>>> --
>>>
>>> Best regards,
>>> Piotr
>>>
>>>
>>
>> --
>> Best regards,
>> Piotr
>>
>
>
> --
> Best regards,
> Piotr
>
