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The following commit(s) were added to refs/heads/branch-3.0 by this push:
     new 1333b87  [SPARK-28093][FOLLOW-UP] Remove migration guide of TRIM 
changes
1333b87 is described below

commit 1333b87c92788c64109629447ee92f6aa8362c30
Author: gatorsmile <gatorsm...@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 <gatorsm...@gmail.com>
    Signed-off-by: HyukjinKwon <gurwls...@apache.org>
    (cherry picked from commit 1c8526dc87212b7a51fddf5f180bc8387805e4d0)
    Signed-off-by: HyukjinKwon <gurwls...@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 1081079..19c744c 100644
--- a/docs/sql-migration-guide.md
+++ b/docs/sql-migration-guide.md
@@ -31,8 +31,6 @@ 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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