Repository: spark
Updated Branches:
  refs/heads/branch-1.3 d4eb590a5 -> 8f99a4982


[SPARK-7084] improve saveAsTable documentation

Author: madhukar <[email protected]>

Closes #5654 from phatak-dev/master and squashes the following commits:

386f407 [madhukar] #5654 updated for all the methods
2c997c5 [madhukar] Merge branch 'master' of https://github.com/apache/spark
00bc819 [madhukar] Merge branch 'master' of https://github.com/apache/spark
2a802c6 [madhukar] #5654 updated the doc according to comments
866e8df [madhukar] [SPARK-7084] improve saveAsTable documentation

(cherry picked from commit 57255dcd794222f4db5df1e549ebc7b896cebfdc)
Signed-off-by: Reynold Xin <[email protected]>


Project: http://git-wip-us.apache.org/repos/asf/spark/repo
Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/8f99a498
Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/8f99a498
Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/8f99a498

Branch: refs/heads/branch-1.3
Commit: 8f99a4982c42b1bb5221e8393f1468d5fbd56b19
Parents: d4eb590
Author: madhukar <[email protected]>
Authored: Mon May 11 17:04:11 2015 -0700
Committer: Reynold Xin <[email protected]>
Committed: Mon May 11 17:06:21 2015 -0700

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 .../scala/org/apache/spark/sql/DataFrame.scala    | 18 ++++++++++++++++++
 1 file changed, 18 insertions(+)
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http://git-wip-us.apache.org/repos/asf/spark/blob/8f99a498/sql/core/src/main/scala/org/apache/spark/sql/DataFrame.scala
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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 e6e4315..aab5452 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
@@ -1003,6 +1003,9 @@ class DataFrame private[sql](
    * 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`.
+   *
+   * Also note that while this function can persist the table metadata into 
Hive's metastore,
+   * the table will NOT be accessible from Hive.
    * @group output
    */
   @Experimental
@@ -1019,6 +1022,9 @@ class DataFrame private[sql](
    * 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`.
+   *
+   * Also note that while this function can persist the table metadata into 
Hive's metastore,
+   * the table will NOT be accessible from Hive.
    * @group output
    */
   @Experimental
@@ -1043,6 +1049,9 @@ class DataFrame private[sql](
    * 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`.
+   *
+   * Also note that while this function can persist the table metadata into 
Hive's metastore,
+   * the table will NOT be accessible from Hive.
    * @group output
    */
   @Experimental
@@ -1059,6 +1068,9 @@ class DataFrame private[sql](
    * 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`.
+   *
+   * Also note that while this function can persist the table metadata into 
Hive's metastore,
+   * the table will NOT be accessible from Hive.
    * @group output
    */
   @Experimental
@@ -1075,6 +1087,9 @@ class DataFrame private[sql](
    * 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`.
+   *
+   * Also note that while this function can persist the table metadata into 
Hive's metastore,
+   * the table will NOT be accessible from Hive.
    * @group output
    */
   @Experimental
@@ -1096,6 +1111,9 @@ class DataFrame private[sql](
    * 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`.
+   *
+   * Also note that while this function can persist the table metadata into 
Hive's metastore,
+   * the table will NOT be accessible from Hive.
    * @group output
    */
   @Experimental


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