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