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- SPARK-31617
support drop multiple functions - SPARK-30182
Support nested aggregates - SPARK-29706
Support an empty grouping expression - SPARK-29705
Support more expressive forms in GroupingSets/Cube/Rollup - SPARK-29704
Support the combinations of grouping operations - SPARK-29703
Support grouping() in GROUP BY without GroupingSets/Cube/Rollup - SPARK-29702
Resolve group-by columns with integrity constraints - SPARK-29700
Support nested grouping sets - SPARK-29699
Different answers in nested aggregates with window functions - SPARK-29698
Support grouping function with multiple arguments - SPARK-29688
Support average with interval type values - SPARK-29663
Support sum with interval type values - SPARK-29659
Support COMMENT ON syntax - SPARK-29636
Can't parse '11:00 BST' or '2000-10-19 10:23:54+01' signatures to timestamp - SPARK-29633
Make COLUMN optional in ALTER TABLE - SPARK-29591
Support data insertion in a different order if you wish or even omit some columns in spark sql also like postgresql - SPARK-29524
Unordered interval units - SPARK-29407
Support syntax for zero interval - SPARK-29406
Interval output styles - SPARK-29395
Precision of the interval type - SPARK-29394
Support ISO 8601 format for intervals - SPARK-29389
Support synonyms for interval units - SPARK-29388
Construct intervals from the `millenniums`, `centuries` or `decades` units - SPARK-29384
Support `ago` in interval strings - SPARK-29383
Support the optional prefix `@` in interval strings - SPARK-29382
Support writing `INTERVAL` type to datasource table - SPARK-29370
Interval strings without explicit unit markings - SPARK-29034
String Constants with C-style Escapes - SPARK-29025
Support seconds precision by the timestamp type - SPARK-29024
Ignore case while resolving time zones - SPARK-29006
Support special date/timestamp values `infinity`/`-infinity` - SPARK-28754
[UDF] Supports for alter, rename, owner change should be supported in Spark - SPARK-28664
ORDER BY in aggregate function - SPARK-28648
Adds support to `groups` unit type in window clauses - SPARK-28501
frame bound must be a literal - SPARK-28437
Different format when casting interval type to string type - SPARK-28429
SQL Datetime util function being casted to double instead of timestamp - SPARK-28428
Spark `exclude` always expecting `()` - SPARK-28425
Add more Date/Time Operators - SPARK-28409
SELECT FROM syntax - SPARK-28405
Join with USING caluse doesn't hide original tables - SPARK-28318
Decimal can only support precision up to 38 - SPARK-28315
Decimal can not accept NaN as input - SPARK-28297
Handling outer links in CTE subquery expressions - SPARK-28296
Improved VALUES support - SPARK-28259
Date/Time Output Styles and Date Order Conventions - SPARK-28253
Date/Timestamp type have different low value and high value with Spark - SPARK-28068
`lag` second argument must be a literal - SPARK-28065
ntile only accepting positive (>0) values - SPARK-28064
Order by does not accept a call to rank()
{"errorMessages":["jqlTooComplex"],"errors":{}}
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