You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2018/07/02 14:41:00 UTC

[jira] [Assigned] (SPARK-24507) Description in "Level of Parallelism in Data Receiving" section of Spark Streaming Programming Guide in is not relevan for the recent Kafka direct apprach

     [ https://issues.apache.org/jira/browse/SPARK-24507?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon reassigned SPARK-24507:
------------------------------------

    Assignee: Rekha Joshi

> Description in "Level of Parallelism in Data Receiving" section of Spark Streaming Programming Guide in is not relevan for the recent Kafka direct apprach 
> -----------------------------------------------------------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-24507
>                 URL: https://issues.apache.org/jira/browse/SPARK-24507
>             Project: Spark
>          Issue Type: Documentation
>          Components: Documentation, DStreams
>    Affects Versions: 2.3.1
>            Reporter: Lev Greenberg
>            Assignee: Rekha Joshi
>            Priority: Minor
>             Fix For: 2.3.2, 2.4.0
>
>
> [https://spark.apache.org/docs/2.2.0/streaming-programming-guide.html#level-of-parallelism-in-data-receiving] describes deprecated "Receiver-based approach" e.g.,:
> _"... each input DStream creates a single receiver (running on a worker machine) that receives a single stream of data"._
> _The first paragraph of [level-of-parallelism-in-data-receiving|https://spark.apache.org/docs/2.2.0/streaming-programming-guide.html#level-of-parallelism-in-data-receiving] section including the following code example should be removed._



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org