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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2017/07/13 12:44:00 UTC

[jira] [Assigned] (SPARK-21401) add poll function for BoundedPriorityQueue

     [ https://issues.apache.org/jira/browse/SPARK-21401?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-21401:
------------------------------------

    Assignee: Apache Spark

> add poll function for BoundedPriorityQueue
> ------------------------------------------
>
>                 Key: SPARK-21401
>                 URL: https://issues.apache.org/jira/browse/SPARK-21401
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML, MLlib
>    Affects Versions: 2.3.0
>            Reporter: Peng Meng
>            Assignee: Apache Spark
>            Priority: Minor
>
> The most of BoundedPriorityQueue usages in ML/MLLIB are:
> Get the value of BoundedPriorityQueue, then sort it.
> For example, in Word2Vec: pq.toSeq.sortBy(-_._2)
> in ALS, pq.toArray.sorted()
> The test results show using pq.poll() is much faster than sort the value.
> For example, in PR https://github.com/apache/spark/pull/18624
> We get the sorted value of pq by the following code:
> {quote}
> var size = pq.size
> while(size > 0) {
>      size -= 1
>      val factor = pq.poll
> }{quote} 
> If using the generally used methods: pq.toArray.sorted() to get the sorted value of pq. There is about 10% performance reduction. 
> It is good to add the poll function for BoundedPriorityQueue, since many usages of PQ need  the sorted value.



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