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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2021/07/28 08:58:00 UTC
[jira] [Assigned] (SPARK-36326) Use Map.computeIfAbsent to simplify
the process of HeapMemoryAllocator.bufferPoolsBySize init new item
[ https://issues.apache.org/jira/browse/SPARK-36326?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-36326:
------------------------------------
Assignee: (was: Apache Spark)
> Use Map.computeIfAbsent to simplify the process of HeapMemoryAllocator.bufferPoolsBySize init new item
> ------------------------------------------------------------------------------------------------------
>
> Key: SPARK-36326
> URL: https://issues.apache.org/jira/browse/SPARK-36326
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 3.3.0
> Reporter: Yang Jie
> Priority: Trivial
>
> HeapMemoryAllocator initializes the new element ofbufferPoolsBySizein the following way：
> {code:java}
> synchronized (this) {
> LinkedList<WeakReference<long[]>> pool = bufferPoolsBySize.get(alignedSize);
> if (pool == null) {
> pool = new LinkedList<>();
> bufferPoolsBySize.put(alignedSize, pool);
> }
> pool.add(new WeakReference<>(array));
> }
> {code}
> The codes can be simplified by Map.computeIfAbsent
>
>
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