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https://issues.apache.org/jira/browse/BEAM-11325?focusedWorklogId=537999&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-537999
]
ASF GitHub Bot logged work on BEAM-11325:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 19/Jan/21 19:04
Start Date: 19/Jan/21 19:04
Worklog Time Spent: 10m
Work Description: boyuanzz commented on a change in pull request #13710:
URL: https://github.com/apache/beam/pull/13710#discussion_r560414782
##########
File path:
sdks/java/io/kafka/src/main/java/org/apache/beam/sdk/io/kafka/ReadFromKafkaDoFn.java
##########
@@ -288,6 +316,19 @@ public ProcessContinuation processElement(
Optional.ofNullable(watermarkEstimator.currentWatermark()));
}
try (Consumer<byte[], byte[]> consumer =
consumerFactoryFn.apply(updatedConsumerConfig)) {
+ // Check whether current TopicPartition is still available to read.
+ Set<TopicPartition> existingTopicPartitions = new HashSet<>();
+ for (List<PartitionInfo> topicPartitionList :
consumer.listTopics().values()) {
Review comment:
For one bundle, it is called once per `KafkaSourceDescriptor`. It has
been a result compromising for performance concern.
If we want to get accurate behavior(stop emitting records as soon as the
TopicPartition is stopped/removed), we should call `listTopics()` per record.
But we know that it will affect performance a lot.
We can also do caching but it will reduce more accuracy.
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Issue Time Tracking
-------------------
Worklog Id: (was: 537999)
Time Spent: 1h (was: 50m)
> KafkaIO should be able to read from new added topic/partition automatically
> during pipeline execution time
> ----------------------------------------------------------------------------------------------------------
>
> Key: BEAM-11325
> URL: https://issues.apache.org/jira/browse/BEAM-11325
> Project: Beam
> Issue Type: New Feature
> Components: io-java-kafka
> Reporter: Boyuan Zhang
> Priority: P2
> Time Spent: 1h
> Remaining Estimate: 0h
>
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