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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/06/21 06:48:58 UTC

[jira] [Commented] (SPARK-16082) Refactor dapply's/dapplyCollect's documentation - remove duplicated comments

    [ https://issues.apache.org/jira/browse/SPARK-16082?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15341233#comment-15341233 ] 

Apache Spark commented on SPARK-16082:
--------------------------------------

User 'NarineK' has created a pull request for this issue:
https://github.com/apache/spark/pull/13790

> Refactor dapply's/dapplyCollect's documentation - remove duplicated comments
> ----------------------------------------------------------------------------
>
>                 Key: SPARK-16082
>                 URL: https://issues.apache.org/jira/browse/SPARK-16082
>             Project: Spark
>          Issue Type: Bug
>          Components: SparkR
>            Reporter: Narine Kokhlikyan
>            Priority: Minor
>
> Currently when we generate R documentation for dapply and dapplyCollect we see some duplicated information.
> such as: 
> Arguments
> ``
> x   
> A SparkDataFrame
> func    
> A function to be applied to each partition of the SparkDataFrame. func should have only one parameter, to which a data.frame corresponds to each partition will be passed. The output of func should be a data.frame.
> schema  
> The schema of the resulting SparkDataFrame after the function is applied. It must match the output of func.
> x   
> A SparkDataFrame
> func    
> A function to be applied to each partition of the SparkDataFrame. func should have only one parameter, to which a data.frame corresponds to each partition will be passed. The output of func should be a data.frame.
> See Also
> Other SparkDataFrame functions: SparkDataFrame-class, [[, agg, arrange, as.data.frame, attach, cache, collect, colnames, coltypes, columns, count, createOrReplaceTempView, describe, dim, distinct, dropDuplicates, dropna, drop, dtypes, except, explain, filter, first, gapplyCollect, gapply, group_by, head, histogram, insertInto, intersect, isLocal, join, limit, merge, mutate, ncol, persist, printSchema, rename, repartition, sample, saveAsTable, selectExpr, select, showDF, show, str, take, unionAll, unpersist, withColumn, with, write.df, write.jdbc, write.json, write.parquet, write.text
> Other SparkDataFrame functions: SparkDataFrame-class, [[, agg, arrange, as.data.frame, attach, cache, collect, colnames, coltypes, columns, count, createOrReplaceTempView, describe, dim, distinct, dropDuplicates, dropna, drop, dtypes, except, explain, filter, first, gapplyCollect, gapply, group_by, head, histogram, insertInto, intersect, isLocal, join, limit, merge, mutate, ncol, persist, printSchema, rename, repartition, sample, saveAsTable, selectExpr, select, showDF, show, str, take, unionAll, unpersist, withColumn, with, write.df, write.jdbc, write.json, write.parquet, write.text
> ``
> This happens because the @rdname of dapply and dapplyCollect refer to the same file.



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