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From "Joseph K. Bradley (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-6293) SQLContext.implicits should provide automatic conversion for RDD[Row]
Date Mon, 16 Mar 2015 17:43:41 GMT

    [ https://issues.apache.org/jira/browse/SPARK-6293?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14363572#comment-14363572
] 

Joseph K. Bradley commented on SPARK-6293:
------------------------------------------

[~smacat] That issue of failure is true for inferring schema from other RDDs too, so I don't
think it's a problem for this JIRA.

> SQLContext.implicits should provide automatic conversion for RDD[Row]
> ---------------------------------------------------------------------
>
>                 Key: SPARK-6293
>                 URL: https://issues.apache.org/jira/browse/SPARK-6293
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>    Affects Versions: 1.3.0
>            Reporter: Joseph K. Bradley
>
> When a DataFrame is converted to an RDD[Row], it should be easier to convert it back
to a DataFrame via toDF.  E.g.:
> {code}
> val df: DataFrame = myRDD.toDF("col1", "col2")  // This works for types like RDD[scala.Tuple2[...]]
> val splits = df.rdd.randomSplit(...)
> val split0: RDD[Row] = splits(0)
> val df0 = split0.toDF("col1", "col2") // This fails
> {code}
> The failure happens because SQLContext.implicits does not provide an automatic conversion
for Rows.  (It does handle Products, but Row does not implement Product.)



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