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")
ThalesGroup · Mar 2, 2015 · e353340 · e353340
1 parent 3f00bb3
commit e353340
Showing 1 changed file with 2 additions and 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
@@ -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.