Repository: spark
Updated Branches:
  refs/heads/master fd60d4fa6 -> 9e451bcf3


[MINOR][DOC] Update `Partition Discovery` section to enumerate all available 
file sources

## What changes were proposed in this pull request?

All built-in data sources support `Partition Discovery`. We had better update 
the document to give the users more benefit clearly.

**AFTER**

<img width="906" alt="1" 
src="https://user-images.githubusercontent.com/9700541/30083628-14278908-9244-11e7-98dc-9ad45fe233a9.png";>

## How was this patch tested?

```
SKIP_API=1 jekyll serve --watch
```

Author: Dongjoon Hyun <dongj...@apache.org>

Closes #19139 from dongjoon-hyun/partitiondiscovery.


Project: http://git-wip-us.apache.org/repos/asf/spark/repo
Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/9e451bcf
Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/9e451bcf
Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/9e451bcf

Branch: refs/heads/master
Commit: 9e451bcf36151bf401f72dcd66001b9ceb079738
Parents: fd60d4f
Author: Dongjoon Hyun <dongj...@apache.org>
Authored: Tue Sep 5 14:35:09 2017 -0700
Committer: gatorsmile <gatorsm...@gmail.com>
Committed: Tue Sep 5 14:35:09 2017 -0700

----------------------------------------------------------------------
 docs/sql-programming-guide.md | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)
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http://git-wip-us.apache.org/repos/asf/spark/blob/9e451bcf/docs/sql-programming-guide.md
----------------------------------------------------------------------
diff --git a/docs/sql-programming-guide.md b/docs/sql-programming-guide.md
index ee231a9..032073b 100644
--- a/docs/sql-programming-guide.md
+++ b/docs/sql-programming-guide.md
@@ -733,8 +733,9 @@ SELECT * FROM parquetTable
 
 Table partitioning is a common optimization approach used in systems like 
Hive. In a partitioned
 table, data are usually stored in different directories, with partitioning 
column values encoded in
-the path of each partition directory. The Parquet data source is now able to 
discover and infer
-partitioning information automatically. For example, we can store all our 
previously used
+the path of each partition directory. All built-in file sources (including 
Text/CSV/JSON/ORC/Parquet)
+are able to discover and infer partitioning information automatically.
+For example, we can store all our previously used
 population data into a partitioned table using the following directory 
structure, with two extra
 columns, `gender` and `country` as partitioning columns:
 


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