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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-22330) Linear containsKey operation for serialized maps.
Date Sun, 22 Oct 2017 22:07:02 GMT

     [ https://issues.apache.org/jira/browse/SPARK-22330?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Apache Spark reassigned SPARK-22330:
------------------------------------

    Assignee: Apache Spark

> Linear containsKey operation for serialized maps.
> -------------------------------------------------
>
>                 Key: SPARK-22330
>                 URL: https://issues.apache.org/jira/browse/SPARK-22330
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 1.2.1, 2.2.0
>            Reporter: Alexander
>            Assignee: Apache Spark
>              Labels: performance
>   Original Estimate: 5m
>  Remaining Estimate: 5m
>
> One of our production application which aggressively uses cached spark RDDs degraded
after increasing volumes of data though it shouldn't. Fast profiling session showed that the
slowest part was SerializableMapWrapper#containsKey: it delegates get and remove to actual
implementation, but containsKey is inherited from AbstractMap which is implemented in linear
time via iteration over whole keySet. A workaround was simple: replacing all containsKey with
get(key) != null solved the issue.
> Nevertheless, it would be much simpler for everyone if the issue will be fixed once and
for all.
> A fix is straightforward, delegate containsKey to actual implementation.



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