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ASF GitHub Bot commented on FLINK-8516: --------------------------------------- Github user tzulitai commented on a diff in the pull request: https://github.com/apache/flink/pull/5393#discussion_r165081173 --- Diff: flink-connectors/flink-connector-kinesis/src/main/java/org/apache/flink/streaming/connectors/kinesis/internals/KinesisDataFetcher.java --- @@ -584,17 +594,34 @@ private static ShardMetricsReporter registerShardMetrics(MetricGroup metricGroup // Miscellaneous utility functions // ------------------------------------------------------------------------ + /** + * Function to map a Kinesis shard to a Flink subtask index. + */ + public interface ShardToSubtaskIndexFn { --- End diff -- I would prefer if this is a top-level class, instead of nested in `KinesisDataFetcher` (which is actually an internal class). Also, the `Fn` name could also be polished a bit. Maybe something like `KinesisShardAssigner` would be better? That would also be coherent name-wise with the Kafka side, which has a `KafkaTopicPartitionAssigner` class (though it isn't exposed). > FlinkKinesisConsumer does not balance shards over subtasks > ---------------------------------------------------------- > > Key: FLINK-8516 > URL: https://issues.apache.org/jira/browse/FLINK-8516 > Project: Flink > Issue Type: Bug > Components: Kinesis Connector > Affects Versions: 1.4.0, 1.3.2, 1.5.0 > Reporter: Thomas Weise > Assignee: Thomas Weise > Priority: Major > > The hash code of the shard is used to distribute discovered shards over > subtasks round robin. This works as long as shard identifiers are sequential. > After shards are rebalanced in Kinesis, that may no longer be the case and > the distribution become skewed. -- This message was sent by Atlassian JIRA (v7.6.3#76005)