You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Sunil Sabat (JIRA)" <ji...@apache.org> on 2016/10/14 19:03:20 UTC

[jira] [Updated] (SPARK-17943) Change Memoized to Memorized

     [ https://issues.apache.org/jira/browse/SPARK-17943?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sunil Sabat updated SPARK-17943:
--------------------------------
    Priority: Minor  (was: Major)

> Change Memoized to Memorized
> ----------------------------
>
>                 Key: SPARK-17943
>                 URL: https://issues.apache.org/jira/browse/SPARK-17943
>             Project: Spark
>          Issue Type: Documentation
>    Affects Versions: 1.3.0
>         Environment: Spark 1.3, 1.4 and more
>            Reporter: Sunil Sabat
>            Priority: Minor
>
> https://spark.apache.org/docs/1.4.0/api/java/org/apache/spark/sql/DataFrame.html has 
> rdd
> public RDD<Row> rdd()
> Represents the content of the DataFrame as an RDD of Rows. Note that the RDD is memoized. Once called, it won't change even if you change any query planning related Spark SQL configurations (e.g. spark.sql.shuffle.partitions).
> Returns:
> (undocumented)
> Since:
> 1.3.0
> Here, memoized should be corrected  as "memorized". RDD is memorized.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

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