[
https://issues.apache.org/jira/browse/SPARK-39591?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Boyang Jerry Peng updated SPARK-39591:
--------------------------------------
Labels: SPIP (was: )
> Offset Management Improvements in Structured Streaming
> ------------------------------------------------------
>
> Key: SPARK-39591
> URL: https://issues.apache.org/jira/browse/SPARK-39591
> Project: Spark
> Issue Type: Improvement
> Components: Structured Streaming
> Affects Versions: 3.3.0
> Reporter: Boyang Jerry Peng
> Priority: Major
> Labels: SPIP
>
> Currently in Structured Streaming, at the beginning of every micro-batch the
> offset to process up to for the current batch is persisted to durable
> storage. At the end of every micro-batch, a marker to indicate the
> completion of this current micro-batch is persisted to durable storage. For
> pipelines such as one that read from Kafka and write to Kafka, end-to-end
> exactly once is not support and latency is sensitive, we can allow users to
> configure offset commits to be written asynchronously thus this commit
> operation will not contribute to the batch duration and effectively lowering
> the overall latency of the pipeline.
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
