Github user brkyvz commented on a diff in the pull request:
https://github.com/apache/spark/pull/6531#discussion_r33109596
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/DataFrameStatFunctions.scala ---
@@ -35,6 +35,13 @@ final class DataFrameStatFunctions private[sql](df:
DataFrame) {
* @param col2 the name of the second column
* @return the covariance of the two columns.
*
+ * {{{
+ * import org.apache.spark.sql.functions._
+ * val df = sc.parallelize(0 until 10).toDF("id").withColumn("rand1",
rand(seed=10))
--- End diff --
had to change this to `sc.parallelize(...).toDF(...)` because
`sqlContext.createDataFrame(0 until 10)` doesn't work because it needs to be a
tuple I guess.
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