You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Nishkam Ravi (JIRA)" <ji...@apache.org> on 2015/05/30 01:14:17 UTC
[jira] [Created] (SPARK-7959) Uneven distribution of receivers in
the cluster
Nishkam Ravi created SPARK-7959:
-----------------------------------
Summary: Uneven distribution of receivers in the cluster
Key: SPARK-7959
URL: https://issues.apache.org/jira/browse/SPARK-7959
Project: Spark
Issue Type: Bug
Components: Streaming
Affects Versions: 1.3.1, 1.4.0
Reporter: Nishkam Ravi
Attachments: Screen Shot 2015-05-29 at 3.52.01 PM.png
Receivers are not getting scheduled as expected. Attached is a screenshot for 8 receivers running on a cluster with 4 workers. In some cases, all receivers get scheduled on a single node. When the receivers get distributed evenly, the throughput can be upto 25% better (for the workload experimented with).
Not sure if this is a known issue and I haven't investigated it further. But given that I do see perfectly well distributed receivers (in round robin fashion) at times, my hunch is that the receivers are racing with other jobs/tasks being scheduled.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org