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Posted to commits@spark.apache.org by gu...@apache.org on 2018/04/30 01:40:59 UTC
spark git commit: [MINOR][DOCS] Fix a broken link for Arrow's
supported types in the programming guide
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 <gu...@apache.org>
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 <gu...@apache.org>
Authored: Mon Apr 30 09:40:46 2018 +0800
Committer: hyukjinkwon <gu...@apache.org>
Committed: Mon Apr 30 09:40:46 2018 +0800
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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
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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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