[
https://issues.apache.org/jira/browse/SPARK-677?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-677:
----------------------------------
Assignee: Apache Spark (was: Davies Liu)
> PySpark should not collect results through local filesystem
> -----------------------------------------------------------
>
> Key: SPARK-677
> URL: https://issues.apache.org/jira/browse/SPARK-677
> Project: Spark
> Issue Type: Improvement
> Components: PySpark
> Affects Versions: 1.0.2, 1.1.1, 1.2.1, 1.3.0, 1.4.0
> Reporter: Josh Rosen
> Assignee: Apache Spark
>
> Py4J is slow when transferring large arrays, so PySpark currently dumps data
> to the disk and reads it back in order to collect() RDDs. On large enough
> datasets, this data will spill from the buffer cache and write to the
> physical disk, resulting in terrible performance.
> Instead, we should stream the data from Java to Python over a local socket or
> a FIFO.
--
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
