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https://issues.apache.org/jira/browse/FLINK-7143?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16092528#comment-16092528
]
ASF GitHub Bot commented on FLINK-7143:
---------------------------------------
Github user tzulitai commented on a diff in the pull request:
https://github.com/apache/flink/pull/4357#discussion_r128147294
--- Diff:
flink-connectors/flink-connector-kafka-base/src/main/java/org/apache/flink/streaming/connectors/kafka/FlinkKafkaConsumerBase.java
---
@@ -517,16 +519,13 @@ public void
initializeState(FunctionInitializationContext context) throws Except
LOG.debug("Using the following offsets:
{}", restoredState);
}
}
- if (restoredState != null && restoredState.isEmpty()) {
- restoredState = null;
- }
} else {
LOG.info("No restore state for FlinkKafkaConsumer.");
}
}
@Override
- public void snapshotState(FunctionSnapshotContext context) throws
Exception {
+ public final void snapshotState(FunctionSnapshotContext context) throws
Exception {
--- End diff --
@stevenzwu the snapshotState method was actually never intended to be
overriden, hence making it final here to state that clearly. For example, the
verrsion-specific implementations for `FlinkKafkaConsumerBase` may override
that and have incorrect implementations, where as our tests would never realize
it.
> Partition assignment for Kafka consumer is not stable
> -----------------------------------------------------
>
> Key: FLINK-7143
> URL: https://issues.apache.org/jira/browse/FLINK-7143
> Project: Flink
> Issue Type: Bug
> Components: Kafka Connector
> Affects Versions: 1.3.1
> Reporter: Steven Zhen Wu
> Assignee: Tzu-Li (Gordon) Tai
> Priority: Blocker
> Fix For: 1.3.2
>
>
> while deploying Flink 1.3 release to hundreds of routing jobs, we found some
> issues with partition assignment for Kafka consumer. some partitions weren't
> assigned and some partitions got assigned more than once.
> Here is the bug introduced in Flink 1.3.
> {code}
> protected static void initializeSubscribedPartitionsToStartOffsets(...)
> {
> ...
> for (int i = 0; i < kafkaTopicPartitions.size(); i++) {
> if (i % numParallelSubtasks == indexOfThisSubtask) {
> if (startupMode !=
> StartupMode.SPECIFIC_OFFSETS) {
>
> subscribedPartitionsToStartOffsets.put(kafkaTopicPartitions.get(i),
> startupMode.getStateSentinel());
> }
> ...
> }
> {code}
> The bug is using array index {{i}} to mod against {{numParallelSubtasks}}. if
> the {{kafkaTopicPartitions}} has different order among different subtasks,
> assignment is not stable cross subtasks and creates the assignment issue
> mentioned earlier.
> fix is also very simple, we should use partitionId to do the mod {{if
> (kafkaTopicPartitions.get\(i\).getPartition() % numParallelSubtasks ==
> indexOfThisSubtask)}}. That would result in stable assignment cross subtasks
> that is independent of ordering in the array.
> marking it as blocker because of its impact.
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