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From "Josh Rosen (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-7689) Remove TTL-based metadata cleaning (spark.cleaner.ttl)
Date Wed, 06 Jan 2016 22:23:39 GMT

     [ https://issues.apache.org/jira/browse/SPARK-7689?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Josh Rosen updated SPARK-7689:
------------------------------
    Labels: releasenotes  (was: )

> Remove TTL-based metadata cleaning (spark.cleaner.ttl)
> ------------------------------------------------------
>
>                 Key: SPARK-7689
>                 URL: https://issues.apache.org/jira/browse/SPARK-7689
>             Project: Spark
>          Issue Type: Sub-task
>          Components: Spark Core
>            Reporter: Josh Rosen
>            Assignee: Apache Spark
>              Labels: releasenotes
>
> With the introduction of ContextCleaner, I think there's no longer any reason for most
users to enable the MetadataCleaner / {{spark.cleaner.ttl}} (except perhaps for super-long-lived
Spark REPLs where you're worried about orphaning RDDs or broadcast variables in your REPL
history and having them never get cleaned up, although I think this is an uncommon use-case).
 I think that this property used to be relevant for Spark Streaming jobs, but I think that's
no longer the case since the latest Streaming docs have removed all mentions of {{spark.cleaner.ttl}}
(see https://github.com/apache/spark/pull/4956/files#diff-dbee746abf610b52d8a7cb65bf9ea765L1817,
for example).
> See http://apache-spark-user-list.1001560.n3.nabble.com/is-spark-cleaner-ttl-safe-td2557.html
for an old, related discussion.  Also, see https://github.com/apache/spark/pull/126, the PR
that introduced the new ContextCleaner mechanism.
> For Spark 2.0, I think we should remove {{spark.cleaner.ttl}} and the associated TTL-based
metadata cleaning code.



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