[ https://issues.apache.org/jira/browse/SPARK-6293?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-6293: ----------------------------------- Assignee: Apache Spark > 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 > Assignee: Apache Spark > > 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.) -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org