[ https://issues.apache.org/jira/browse/SPARK-7398?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Tathagata Das updated SPARK-7398: --------------------------------- Summary: Add back-pressure to Spark Streaming (umbrella JIRA) (was: Add back-pressure to Spark Streaming) > Add back-pressure to Spark Streaming (umbrella JIRA) > ---------------------------------------------------- > > Key: SPARK-7398 > URL: https://issues.apache.org/jira/browse/SPARK-7398 > Project: Spark > Issue Type: Improvement > Components: Streaming > Affects Versions: 1.3.1 > Reporter: François Garillot > Priority: Critical > Labels: streams > > Spark Streaming has trouble dealing with situations where > batch processing time > batch interval > Meaning a high throughput of input data w.r.t. Spark's ability to remove data > from the queue. > If this throughput is sustained for long enough, it leads to an unstable > situation where the memory of the Receiver's Executor is overflowed. > This aims at transmitting a back-pressure signal back to data ingestion to > help with dealing with that high throughput, in a backwards-compatible way. > The original design doc can be found here: > https://docs.google.com/document/d/1ZhiP_yBHcbjifz8nJEyPJpHqxB1FT6s8-Zk7sAfayQw/edit?usp=sharing > The second design doc, focusing [on the first > sub-task|https://issues.apache.org/jira/browse/SPARK-8834] (without all the > background info, and more centered on the implementation) can be found here: > https://docs.google.com/document/d/1ls_g5fFmfbbSTIfQQpUxH56d0f3OksF567zwA00zK9E/edit?usp=sharing -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org