Repository: spark
Updated Branches:
  refs/heads/master bd14da6fd -> 56f501e1c


[MINOR][DOCS] Fix a broken link for Arrow's supported types in the programming 
guide

## What changes were proposed in this pull request?

This PR fixes a broken link for Arrow's supported types in the programming 
guide.

## How was this patch tested?

Manually tested via `SKIP_API=1 jekyll watch`.

"Supported SQL Types" here in 
https://spark.apache.org/docs/latest/sql-programming-guide.html#enabling-for-conversion-tofrom-pandas
 is broken. It should be 
https://spark.apache.org/docs/latest/sql-programming-guide.html#supported-sql-types

Author: hyukjinkwon <[email protected]>

Closes #21191 from HyukjinKwon/minor-arrow-link.


Project: http://git-wip-us.apache.org/repos/asf/spark/repo
Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/56f501e1
Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/56f501e1
Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/56f501e1

Branch: refs/heads/master
Commit: 56f501e1c0cec3be7d13008bd2c0182ec83ed2a2
Parents: bd14da6
Author: hyukjinkwon <[email protected]>
Authored: Mon Apr 30 09:40:46 2018 +0800
Committer: hyukjinkwon <[email protected]>
Committed: Mon Apr 30 09:40:46 2018 +0800

----------------------------------------------------------------------
 docs/sql-programming-guide.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)
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http://git-wip-us.apache.org/repos/asf/spark/blob/56f501e1/docs/sql-programming-guide.md
----------------------------------------------------------------------
diff --git a/docs/sql-programming-guide.md b/docs/sql-programming-guide.md
index e8ff147..836ce99 100644
--- a/docs/sql-programming-guide.md
+++ b/docs/sql-programming-guide.md
@@ -1703,7 +1703,7 @@ Using the above optimizations with Arrow will produce the 
same results as when A
 enabled. Note that even with Arrow, `toPandas()` results in the collection of 
all records in the
 DataFrame to the driver program and should be done on a small subset of the 
data. Not all Spark
 data types are currently supported and an error can be raised if a column has 
an unsupported type,
-see [Supported SQL Types](#supported-sql-arrow-types). If an error occurs 
during `createDataFrame()`,
+see [Supported SQL Types](#supported-sql-types). If an error occurs during 
`createDataFrame()`,
 Spark will fall back to create the DataFrame without Arrow.
 
 ## Pandas UDFs (a.k.a. Vectorized UDFs)


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