dongjoon-hyun commented on a change in pull request #25219: [SPARK-28464][Doc][SS] Document Kafka source minPartitions option URL: https://github.com/apache/spark/pull/25219#discussion_r305607418
########## File path: docs/structured-streaming-kafka-integration.md ########## @@ -388,6 +388,19 @@ The following configurations are optional: <td>streaming and batch</td> <td>Rate limit on maximum number of offsets processed per trigger interval. The specified total number of offsets will be proportionally split across topicPartitions of different volume.</td> </tr> +<tr> + <td>minPartitions</td> + <td>int</td> + <td></td> + <td>streaming and batch</td> + <td>Minimum number of partitions to read from Kafka. + You can configure Spark to use an arbitrary minimum of partitions to read from Kafka using the minPartitions option. + Normally Spark has a 1-1 mapping of Kafka TopicPartitions to Spark partitions consuming from Kafka. + If you set the minPartitions option to a value greater than your Kafka TopicPartitions, + Spark will divvy up large Kafka partitions to smaller pieces. + This option can be set at times of peak loads, data skew, and as your stream is falling behind to increase processing rate. + It comes at a cost of initializing Kafka consumers at each trigger, which may impact performance if you use SSL when connecting to Kafka.</td> Review comment: Let's remove line 401~402, too. ---------------------------------------------------------------- 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: us...@infra.apache.org With regards, Apache Git Services --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
