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https://issues.apache.org/jira/browse/SPARK-8827?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14614562#comment-14614562
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Saisai Shao edited comment on SPARK-8827 at 7/6/15 5:22 AM:
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I think you could get top values with following pattern like:
{code}
dstream.foreachRDD(lambda r: r.top(...))
{code}
this will get the top values of each bath duration, you could take a try.
was (Author: jerryshao):
I think you could get top values with follow pattern like:
{code}
dstream.foreachRDD(lambda r: r.top(...))
{code}
this will get the top values of each bath duration, you could take a try.
> pyspark.DStream top method
> --------------------------
>
> Key: SPARK-8827
> URL: https://issues.apache.org/jira/browse/SPARK-8827
> Project: Spark
> Issue Type: Improvement
> Components: PySpark, Streaming
> Reporter: Emanuele Cesena
> Priority: Minor
>
> Is there a reason for not having DStream.top?
> Any issues with the following definition?
> {code}
> def topPartition(partition):
> return sorted(partition, key=lambda p: p[1], reverse=True)[:10]
> def top(counts):
> return counts.transform(lambda rdd: rdd.mapPartitions(topPartition)
> .sortBy(lambda p: p[1],ascending=False))
> {code}
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