Bulk Operation

SPARK-27764 support drop multiple functions

SPARK-27764 Support nested aggregates

SPARK-27764 Support an empty grouping expression

SPARK-27764 Support more expressive forms in GroupingSets/Cube/Rollup

SPARK-27764 Support the combinations of grouping operations

SPARK-27764 Support grouping() in GROUP BY without GroupingSets/Cube/Rollup

SPARK-27764 Resolve group-by columns with integrity constraints

SPARK-27764 Support nested grouping sets

SPARK-27764 Different answers in nested aggregates with window functions

SPARK-27764 Support grouping function with multiple arguments

SPARK-27764 Support average with interval type values

SPARK-27764 Support sum with interval type values

SPARK-27764 Support COMMENT ON syntax

SPARK-27764 Can't parse '11:00 BST' or '2000-10-19 10:23:54+01' signatures to timestamp

SPARK-27764 Make COLUMN optional in ALTER TABLE

SPARK-27764 Support data insertion in a different order if you wish or even omit some columns in spark sql also like postgresql

SPARK-27764 Unordered interval units

SPARK-27764 Support syntax for zero interval

SPARK-27764 Interval output styles

SPARK-27764 Precision of the interval type

SPARK-27764 Support ISO 8601 format for intervals

SPARK-27764 Support synonyms for interval units

SPARK-27764 Construct intervals from the `millenniums`, `centuries` or `decades` units

SPARK-27764 Support `ago` in interval strings

SPARK-27764 Support the optional prefix `@` in interval strings

SPARK-27764 Support writing `INTERVAL` type to datasource table

SPARK-27764 Interval strings without explicit unit markings

SPARK-27764 String Constants with C-style Escapes

SPARK-27764 Support seconds precision by the timestamp type

SPARK-27764 Ignore case while resolving time zones

SPARK-27764 Support special date/timestamp values `infinity`/`-infinity`

SPARK-27764 [UDF] Supports for alter, rename, owner change should be supported in Spark

SPARK-27764 ORDER BY in aggregate function

SPARK-27764 Adds support to `groups` unit type in window clauses

SPARK-27764 frame bound must be a literal

SPARK-27764 Different format when casting interval type to string type

SPARK-27764 SQL Datetime util function being casted to double instead of timestamp

SPARK-27764 Spark `exclude` always expecting `()`

SPARK-27764 Add more Date/Time Operators

SPARK-27764 SELECT FROM syntax

SPARK-27764 Join with USING caluse doesn't hide original tables

SPARK-27764 Decimal can only support precision up to 38

SPARK-27764 Decimal can not accept NaN as input

SPARK-27764 Handling outer links in CTE subquery expressions

SPARK-27764 Improved VALUES support

SPARK-27764 Date/Time Output Styles and Date Order Conventions

SPARK-27764 Date/Timestamp type have different low value and high value with Spark

SPARK-27764 `lag` second argument must be a literal

SPARK-27764 ntile only accepting positive (>0) values

SPARK-27764 Order by does not accept a call to rank()

SPARK-27764 Support POSIX Regular Expressions

SPARK-27764 List all cases that PostgreSQL throws an exception but Spark SQL is NULL

SPARK-27764 Handling of sublinks within outer-level aggregates.

SPARK-27764 support statement using nested joins