Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/4498#discussion_r24396268
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/SQLContext.scala ---
@@ -264,8 +262,80 @@ class SQLContext(@transient val sparkContext:
SparkContext)
}
@DeveloperApi
- def applySchema(rowRDD: JavaRDD[Row], schema: StructType): DataFrame = {
- applySchema(rowRDD.rdd, schema);
+ def createDataFrame(rowRDD: JavaRDD[Row], schema: StructType): DataFrame
= {
+ createDataFrame(rowRDD.rdd, schema)
+ }
+
+ /**
+ * Creates a [[DataFrame]] from an [[RDD]] containing [[Row]]s by
applying
+ * a seq of names of columns to this RDD, the data type for each column
will
+ * be inferred by the first row.
+ *
+ * @param rowRDD an RDD of Row
+ * @param columns names for each column
+ * @return DataFrame
+ */
+ def createDataFrame(rowRDD: RDD[Row], columns: Seq[String]): DataFrame =
{
--- End diff --
we might want to use the same logic defined in jsonrdd?
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