Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/6181#issuecomment-102566119
@yinxusen I tried the Scala example but got this error:
```
scala> val documentDF = sqlContext.createDataFrame(Seq(
| "Hi I heard about Spark".split(" "),
| "I wish Java could use case classes".split(" "),
| "Logistic regression models are neat".split(" ")
| )).map(Tuple1.apply).toDF("text")
<console>:20: error: overloaded method value createDataFrame with
alternatives:
[A <: Product](data: Seq[A])(implicit evidence$4:
reflect.runtime.universe.TypeTag[A])org.apache.spark.sql.DataFrame <and>
[A <: Product](rdd: org.apache.spark.rdd.RDD[A])(implicit evidence$3:
reflect.runtime.universe.TypeTag[A])org.apache.spark.sql.DataFrame
cannot be applied to (Seq[Array[String]])
val documentDF = sqlContext.createDataFrame(Seq(
```
Did these all run for you?
The Java file needs the Apache license at the top.
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