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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2020/05/23 23:26:00 UTC
[jira] [Commented] (SPARK-31805) Spark Structured Streaming with
"assign" KafkaConsumer mode still uses group.id
[ https://issues.apache.org/jira/browse/SPARK-31805?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17114991#comment-17114991 ]
Apache Spark commented on SPARK-31805:
--------------------------------------
User 'tashoyan' has created a pull request for this issue:
https://github.com/apache/spark/pull/28623
> Spark Structured Streaming with "assign" KafkaConsumer mode still uses group.id
> -------------------------------------------------------------------------------
>
> Key: SPARK-31805
> URL: https://issues.apache.org/jira/browse/SPARK-31805
> Project: Spark
> Issue Type: Bug
> Components: Structured Streaming
> Affects Versions: 2.4.5, 3.0.0
> Reporter: Arseniy Tashoyan
> Priority: Major
>
> [Spark Structured Streaming - Kafka integration|https://spark.apache.org/docs/latest/structured-streaming-kafka-integration.html#creating-a-kafka-source-for-batch-queries] provides the [assign|https://kafka.apache.org/25/javadoc/org/apache/kafka/clients/consumer/KafkaConsumer.html#assign-java.util.Collection-] strategy to consume data from Kafka. This strategy assumes manual assignment of offsets in topic partitions. According to KafkaConsumer specification, the consumer group in the "assign" strategy is not used.
> When creating a consumer to read data, Spark provides an internally-generated group id like this:
> [KafkaRelation|https://github.com/apache/spark/blob/bcadd5c3096109878fe26fb0d57a9b7d6fdaa257/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/KafkaRelation.scala#L60]:
> {code:scala}
> val uniqueGroupId = s"spark-kafka-relation-${UUID.randomUUID}"
> {code}
> This is done for any consumer strategy, even for "assign". The problem is that with a secured Kafka cluster a client cannot use an arbitrary consumer group id. That's why a Structured Streaming application fails with an exception like:
> {code:none}
> org.apache.kafka.common.errors.GroupAuthorizationException: Not authorized to access group: spark-kafka-relation-ecab045d-4ee6-425e-88a0-495d4100a013-driver-0
> {code}
> With Spark 2.4.5, the only way is to reconfigure the broker - add the needed entries in ACL (for example, [this discussion|https://stackoverflow.com/a/59300360] on StackOverflow).
>
> With Spark 3.0.0, this problem could be avoided by two workarounds:
> - SPARK-26121: Specify a custom prefix for the consumer group id generated by Spark (allowed by the broker)
> - SPARK-26350: Specify a custom group id
> However, with the "assign" strategy the user does not need to worry about consumer group - the consumer group should be disregarded. Therefore a better fix could be to not set the consumer property "group.id" when using the "assign" strategy.
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