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

["Narine Kokhlikyan (JIRA)" <ji...@apache.org>]

Narine Kokhlikyan created SPARK-16082:
-----------------------------------------

             Summary: 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 readme of dapply and dapplyCollect refer to the same rd file.



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