Repository: spark Updated Branches: refs/heads/branch-2.3 df45ddb9d -> 235ec9ee7
[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. (cherry picked from commit 56f501e1c0cec3be7d13008bd2c0182ec83ed2a2) Signed-off-by: hyukjinkwon <[email protected]> Project: http://git-wip-us.apache.org/repos/asf/spark/repo Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/235ec9ee Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/235ec9ee Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/235ec9ee Branch: refs/heads/branch-2.3 Commit: 235ec9ee74f80900c9bbfbe966856e96c947564e Parents: df45ddb Author: hyukjinkwon <[email protected]> Authored: Mon Apr 30 09:40:46 2018 +0800 Committer: hyukjinkwon <[email protected]> Committed: Mon Apr 30 09:41:41 2018 +0800 ---------------------------------------------------------------------- docs/sql-programming-guide.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/spark/blob/235ec9ee/docs/sql-programming-guide.md ---------------------------------------------------------------------- diff --git a/docs/sql-programming-guide.md b/docs/sql-programming-guide.md index 06e5ced..651e440 100644 --- a/docs/sql-programming-guide.md +++ b/docs/sql-programming-guide.md @@ -1699,7 +1699,7 @@ 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) --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
