Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/354#discussion_r11375848
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/SchemaRDDLike.scala
---
@@ -62,4 +64,41 @@ trait SchemaRDDLike {
def registerAsTable(tableName: String): Unit = {
sqlContext.registerRDDAsTable(baseSchemaRDD, tableName)
}
+
+ /**
+ * <span class="badge badge-red" style="float:
right;">EXPERIMENTAL</span>
+ *
+ * Adds the rows from this RDD to the specified table, optionally
overwriting the existing data.
+ *
+ * @group schema
+ */
+ def insertInto(tableName: String, overwrite: Boolean): Unit =
+ sqlContext.executePlan(
+ InsertIntoTable(UnresolvedRelation(None, tableName), Map.empty,
logicalPlan, overwrite)).toRdd
+
+ /**
+ * <span class="badge badge-red" style="float:
right;">EXPERIMENTAL</span>
+ *
+ * Appends the rows from this RDD to the specified table.
+ *
+ * @group schema
+ */
+ def insertInto(tableName: String): Unit = insertInto(tableName, false)
+
+ /**
+ * <span class="badge badge-red" style="float:
right;">EXPERIMENTAL</span>
+ *
+ * Creates a table from the the contents of this SchemaRDD. This will
fail if the table already
+ * exists.
+ *
+ * Note that this currently only works with SchemaRDDs that are created
from a HiveContext as
+ * there is no notion of a persisted catalog in a standard SQL context.
Instead you can write
+ * an RDD out to a parquet file, and then register that file as a table.
This "table" can then
+ * be the target of an `insertInto`.
+ *
+ * @param tableName
+ */
+ def createTableAs(tableName: String) =
--- End diff --
and i think the next line doesn't need wrapping (should fit in 100 chars)
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