[ https://issues.apache.org/jira/browse/SPARK-8835?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-8835: ----------------------------------- Assignee: (was: Apache Spark) > Provide pluggable Congestion Strategies to deal with Streaming load > ------------------------------------------------------------------- > > Key: SPARK-8835 > URL: https://issues.apache.org/jira/browse/SPARK-8835 > Project: Spark > Issue Type: Sub-task > Components: Streaming > Reporter: François Garillot > > Second part of [SPARK-7398|https://issues.apache.org/jira/browse/SPARK-7398] > (which has an over-arching, high-level design doc). > An (outdated) [PoC > implementation|https://github.com/huitseeker/spark/tree/ReactiveStreamingBackPressureControl/] > exists. > Note that throttling in the current (Spark 1.5.0) way pushes down the > (fast-overflowing) buffer of received elements down to the TCP stack, which > then has to deal with the break. This can be witnessed here : > https://github.com/skyluc/spark-streaming-testbed/tree/test-runs-006/test-runs-006 -- 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