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SPARK-37389
Check unclosed bracketed commentsSPARK-35348
Support the utils for escapse the regex for ANSI SQL: SIMILAR TO ... ESCAPE syntaxSPARK-34382
ANSI SQL: LATERAL derived table(T491)SPARK-34274
Improve performance for last_value over unbounded preceding window frameSPARK-34257
Improve performance for last_value over unbounded window frameSPARK-34096
Improve performance for nth_value ignore nulls over offset windowSPARK-33687
ANALYZE command support analyze all tables in a specific databaseSPARK-33443
LEAD/LAG should support [ IGNORE NULLS | RESPECT NULLS ]SPARK-33429
Support drop column in spark also like in postgresqlSPARK-33278
Improve the performance for FIRST_VALUESPARK-33186
Respect ANSI standard and change FIRST_VALUE as pure window function.SPARK-32934
Improve the performance for NTH_VALUE and Reactor the OffsetWindowFunctionSPARK-32777
Aggregation support aggregate function with multiple foldable expressions.SPARK-32540
Eliminate filter clause in aggregateSPARK-32498
Support grant/revoke access privileges like postgresqlSPARK-30825
Add documents information for window function.SPARK-30789
Support (IGNORE | RESPECT) NULLS for LEAD/LAG/NTH_VALUE/FIRST_VALUE/LAST_VALUESPARK-30758
Spark SQL can't display bracketed comments well in generated golden filesSPARK-30734
AnalysisException that window RangeFrame not match RowFrameSPARK-30727
ANSI SQL: LAST_VALUE functionSPARK-30726
ANSI SQL: FIRST_VALUE functionSPARK-30708
first_value/last_value window function throws ParseExceptionSPARK-30707
Lead/Lag window function throws AnalysisException without ORDER BY clauseSPARK-30472
[SQL] ANSI SQL: Throw exception on format invalid and overflow when casting String to IntegerType.SPARK-30396
When there are multiple DISTINCT aggregate expressions acting on different fields, any DISTINCT aggregate expression allows the use of the FILTER clauseSPARK-30395
When one or more DISTINCT aggregate expressions operate on the same field, the DISTINCT aggregate expression allows the use of the FILTER clauseSPARK-30276
Support Filter expression allows simultaneous use of DISTINCTSPARK-30220
Support Filter expression uses IN/EXISTS predicate sub-queriesSPARK-30219
Support Filter expression reference the outer querySPARK-30070
ANSI-F053: Overlaps datetimes predicate supportSPARK-29941
Support dec as shorthand for decimalSPARK-29631
Support ANSI SQL CREATE SEQUENCESPARK-29587
Real data type is not supported in Spark SQL which is supporting in postgresqlSPARK-29098
Test both ANSI mode and Spark modeSPARK-29096
The exact math method should be called only when there is a corresponding function in MathSPARK-28909
ANSI SQL: delete and update does not support in SparkSPARK-28880
ANSI SQL: Nested bracketed commentsSPARK-28682
ANSI SQL: Collation SupportSPARK-28674
Spark should support select <columnname> into <table> from <table> where <condition> as PostgreSQL supportsSPARK-28580
ANSI SQL: unique predicateSPARK-28500
adds support for `filter` clauseSPARK-28447
ANSI SQL: Unicode escapes in literalsSPARK-28412
ANSI SQL: OVERLAY function support byte array(T312)SPARK-28410
ANSI SQL(E021-05): OCTET_LENGTH functionSPARK-28377
Fully support correlation names in the FROM clauseSPARK-28330
ANSI SQL: Top-level <result offset clause> in <query expression>SPARK-28329
SELECT INTO syntaxSPARK-28328
Support ANSI SQL:member predicateSPARK-28325
Support ANSI SQL:SIMILAR TO ... ESCAPE syntaxSPARK-28322
DIV support decimal type
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