From e35334043148f79807e94d266f6ec649872a9dd7 Mon Sep 17 00:00:00 2001
From: Paul Power <paul.power@peerside.com>
Date: Sun, 1 Mar 2015 22:41:35 -0800
Subject: [PATCH] Updated comments use correct sample code for Dataframe joins

The API signatire for join requires the JoinType to be the third parameter. The code examples provided for join show JoinType being provided as the 2nd parater resuling in errors (i.e. "df1.join(df2, "outer", $"df1Key" === $"df2Key") ). The correct example should be df1.join(df2, $"df1Key" === $"df2Key", "outer")
---
 sql/core/src/main/scala/org/apache/spark/sql/DataFrame.scala | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/sql/core/src/main/scala/org/apache/spark/sql/DataFrame.scala b/sql/core/src/main/scala/org/apache/spark/sql/DataFrame.scala
index 060ab5e9a0cfa..e3f381430ff43 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/DataFrame.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/DataFrame.scala
@@ -337,11 +337,11 @@ class DataFrame protected[sql](
    * {{{
    *   // Scala:
    *   import org.apache.spark.sql.functions._
-   *   df1.join(df2, "outer", $"df1Key" === $"df2Key")
+   *   df1.join(df2, $"df1Key" === $"df2Key", "outer")
    *
    *   // Java:
    *   import static org.apache.spark.sql.functions.*;
-   *   df1.join(df2, "outer", col("df1Key") === col("df2Key"));
+   *   df1.join(df2, col("df1Key") === col("df2Key"), "outer");
    * }}}
    *
    * @param right Right side of the join.