[
https://issues.apache.org/jira/browse/BEAM-7029?focusedWorklogId=286866&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-286866
]
ASF GitHub Bot logged work on BEAM-7029:
----------------------------------------
Author: ASF GitHub Bot
Created on: 01/Aug/19 17:14
Start Date: 01/Aug/19 17:14
Worklog Time Spent: 10m
Work Description: manuelaguilar commented on issue #8251: [BEAM-7029] Add
KafkaIO.Read as external transform
URL: https://github.com/apache/beam/pull/8251#issuecomment-517372562
@mxm I tried the patch and I can see that the right coder is applied to the
transform. Thank you.
My next step is to have the transform output (KafkaRecords) to be passed to
my Python pipeline.
How can I handover KafkaRecord elements from Java to Python? Will it work by
calling an external transform in the Python pipeline or is there a simpler way
to translate the ReadFromKafka output into a Python implementation of
KafkaRecord (e.g. confluent_kafka).
For my pipeline test, I added a Map function 'passthrough' (it just logs the
message and yields the element) in my Python pipeline after reading from Kafka:
```
messages = ( p | 'Read From Kafka' >> ReadFromKafka(
consumer_config={ ......
},
......
expansion_service='localhost:8097'))
messages | 'Passthrough' >> beam.Map(passthrough)
```
As of now, this is the error I'm getting while the portable runner is
reading from Kafka topics
```
[grpc-default-executor-1] ERROR
org.apache.beam.fn.harness.control.BeamFnControlClient - Exception while trying
to handle InstructionRequest 5 java.lang.IllegalArgumentException: Expected
DoFn to be FunctionSpec with URN urn:beam:dofn:javasdk:0.1, but URN was
beam:dofn:pickled_python_info:v1
at
org.apache.beam.vendor.guava.v20_0.com.google.common.base.Preconditions.checkArgument(Preconditions.java:416)
at
org.apache.beam.runners.core.construction.ParDoTranslation.doFnWithExecutionInformationFromProto(ParDoTranslation.java:572)
at
org.apache.beam.runners.core.construction.ParDoTranslation.getDoFn(ParDoTranslation.java:282)
at
org.apache.beam.fn.harness.DoFnPTransformRunnerFactory$Context.<init>(DoFnPTransformRunnerFactory.java:197)
at
org.apache.beam.fn.harness.DoFnPTransformRunnerFactory.createRunnerForPTransform(DoFnPTransformRunnerFactory.java:96)
at
org.apache.beam.fn.harness.DoFnPTransformRunnerFactory.createRunnerForPTransform(DoFnPTransformRunnerFactory.java:64)
at
org.apache.beam.fn.harness.control.ProcessBundleHandler.createRunnerAndConsumersForPTransformRecursively(ProcessBundleHandler.java:194)
at
org.apache.beam.fn.harness.control.ProcessBundleHandler.createRunnerAndConsumersForPTransformRecursively(ProcessBundleHandler.java:163)
at
org.apache.beam.fn.harness.control.ProcessBundleHandler.processBundle(ProcessBundleHandler.java:290)
at
org.apache.beam.fn.harness.control.BeamFnControlClient.delegateOnInstructionRequestType(BeamFnControlClient.java:160)
at
org.apache.beam.fn.harness.control.BeamFnControlClient.lambda$processInstructionRequests$0(BeamFnControlClient.java:144)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
```
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
[email protected]
Issue Time Tracking
-------------------
Worklog Id: (was: 286866)
Time Spent: 14h 50m (was: 14h 40m)
> Support KafkaIO to be configured externally for use with other SDKs
> -------------------------------------------------------------------
>
> Key: BEAM-7029
> URL: https://issues.apache.org/jira/browse/BEAM-7029
> Project: Beam
> Issue Type: New Feature
> Components: io-java-kafka, runner-flink, sdk-py-core
> Reporter: Maximilian Michels
> Assignee: Maximilian Michels
> Priority: Major
> Fix For: 2.13.0
>
> Time Spent: 14h 50m
> Remaining Estimate: 0h
>
> As of BEAM-6730, we can externally configure existing transforms from SDKs.
> We should add more useful transforms then just {{GenerateSequence}}.
> {{KafkaIO}} is a good candidate.
--
This message was sent by Atlassian JIRA
(v7.6.14#76016)
