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Posted to commits@spark.apache.org by gu...@apache.org on 2020/03/13 02:46:43 UTC
[spark] branch master updated: [SPARK-28093][FOLLOW-UP] Remove
migration guide of TRIM changes
This is an automated email from the ASF dual-hosted git repository.
gurwls223 pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/spark.git
The following commit(s) were added to refs/heads/master by this push:
new 1c8526d [SPARK-28093][FOLLOW-UP] Remove migration guide of TRIM changes
1c8526d is described below
commit 1c8526dc87212b7a51fddf5f180bc8387805e4d0
Author: gatorsmile <ga...@gmail.com>
AuthorDate: Fri Mar 13 11:45:59 2020 +0900
[SPARK-28093][FOLLOW-UP] Remove migration guide of TRIM changes
### What changes were proposed in this pull request?
Since we reverted the original change in https://github.com/apache/spark/pull/27540, this PR is to remove the corresponding migration guide made in the commit https://github.com/apache/spark/pull/24948
### Why are the changes needed?
N/A
### Does this PR introduce any user-facing change?
N/A
### How was this patch tested?
N/A
Closes #27896 from gatorsmile/SPARK-28093Followup.
Authored-by: gatorsmile <ga...@gmail.com>
Signed-off-by: HyukjinKwon <gu...@apache.org>
---
docs/sql-migration-guide.md | 2 --
1 file changed, 2 deletions(-)
diff --git a/docs/sql-migration-guide.md b/docs/sql-migration-guide.md
index 468dcdb..7cca43e 100644
--- a/docs/sql-migration-guide.md
+++ b/docs/sql-migration-guide.md
@@ -34,8 +34,6 @@ license: |
- Since Spark 3.0, configuration `spark.sql.crossJoin.enabled` become internal configuration, and is true by default, so by default spark won't raise exception on sql with implicit cross join.
- - Since Spark 3.0, we reversed argument order of the trim function from `TRIM(trimStr, str)` to `TRIM(str, trimStr)` to be compatible with other databases.
-
- In Spark version 2.4 and earlier, SQL queries such as `FROM <table>` or `FROM <table> UNION ALL FROM <table>` are supported by accident. In hive-style `FROM <table> SELECT <expr>`, the `SELECT` clause is not negligible. Neither Hive nor Presto support this syntax. Therefore we will treat these queries as invalid since Spark 3.0.
- Since Spark 3.0, the Dataset and DataFrame API `unionAll` is not deprecated any more. It is an alias for `union`.
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