Joseph K. Bradley created SPARK-6293:
----------------------------------------
Summary: 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: Improvement
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.)
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]