Repository: spark
Updated Branches:
  refs/heads/master 4f7f1c436 -> 07367533d


[SPARK-16025][CORE] Document OFF_HEAP storage level in 2.0

This has changed from 1.6, and now stores memory off-heap using spark's 
off-heap support instead of in tachyon.

Author: Eric Liang <e...@databricks.com>

Closes #13744 from ericl/spark-16025.


Project: http://git-wip-us.apache.org/repos/asf/spark/repo
Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/07367533
Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/07367533
Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/07367533

Branch: refs/heads/master
Commit: 07367533de68817e1e6cf9cf2b056a04dd160c8a
Parents: 4f7f1c4
Author: Eric Liang <e...@databricks.com>
Authored: Mon Jun 20 21:56:44 2016 -0700
Committer: Reynold Xin <r...@databricks.com>
Committed: Mon Jun 20 21:56:44 2016 -0700

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 docs/programming-guide.md | 5 +++++
 1 file changed, 5 insertions(+)
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http://git-wip-us.apache.org/repos/asf/spark/blob/07367533/docs/programming-guide.md
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diff --git a/docs/programming-guide.md b/docs/programming-guide.md
index 97bcb51..3872aec 100644
--- a/docs/programming-guide.md
+++ b/docs/programming-guide.md
@@ -1220,6 +1220,11 @@ storage levels is:
   <td> MEMORY_ONLY_2, MEMORY_AND_DISK_2, etc.  </td>
   <td> Same as the levels above, but replicate each partition on two cluster 
nodes. </td>
 </tr>
+<tr>
+  <td> OFF_HEAP (experimental) </td>
+  <td> Similar to MEMORY_ONLY_SER, but store the data in
+    <a href="configuration.html#memory-management">off-heap memory</a>. This 
requires off-heap memory to be enabled. </td>
+</tr>
 </table>
 
 **Note:** *In Python, stored objects will always be serialized with the 
[Pickle](https://docs.python.org/2/library/pickle.html) library, 


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