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- SPARK-40061
Document cast of ANSI intervals - SPARK-40014
Support cast of decimals to ANSI intervals - SPARK-40008
Support casting integrals to intervals in ANSI mode - SPARK-39470
Support cast of ANSI intervals to decimals - SPARK-39451
Support casting intervals to integrals in ANSI mode - SPARK-37332
Check adding of ANSI interval columns to v1/v2 tables - SPARK-37304
Check replacing columns with ANSI intervals - SPARK-37294
Check inserting of ANSI intervals into a table partitioned by the interval columns - SPARK-37261
Check adding partitions with ANSI intervals - SPARK-37240
Cannot read partitioned parquet files with ANSI interval partition values - SPARK-37231
Dynamic writes/reads of ANSI interval partitions - SPARK-37225
Read/write dataframes with ANSI intervals from/to Avro files - SPARK-37161
RowToColumnConverter support AnsiIntervalType - SPARK-37138
Support ANSI Interval in functions that support numeric type - SPARK-37125
Support AnsiInterval radix sort - SPARK-36960
Pushdown filters with ANSI interval values to ORC - SPARK-36949
Fix CREATE TABLE AS SELECT of ANSI intervals - SPARK-36948
Check CREATE TABLE with ANSI intervals using Hive external catalog and Parquet - SPARK-36941
Check saving of a dataframe with ANSI intervals to a Hive parquet table - SPARK-36931
Read/write dataframes with ANSI intervals from/to ORC files - SPARK-36928
Handle ANSI intervals in ColumnarRow, ColumnarBatchRow and ColumnarArray - SPARK-36924
CAST between ANSI intervals and numerics - SPARK-36923
Allow coercing of an interval expression to a specific interval type - SPARK-36922
The SIGN/SIGNUM functions should support ANSI intervals - SPARK-36921
The DIV function should support ANSI intervals - SPARK-36920
Support ANSI intervals by ABS - SPARK-36866
Pushdown filters with ANSI interval values to parquet - SPARK-36854
Parquet reader fails on load of ANSI interval when off-heap is enabled - SPARK-36852
Test ANSI interval support by the Parquet datasource - SPARK-36851
Incorrect parsing of negative ANSI typed interval literals - SPARK-36831
Read/write dataframes with ANSI intervals from/to CSV files - SPARK-36830
Read/write dataframes with ANSI intervals from/to JSON files - SPARK-36825
Read/write dataframes with ANSI intervals from/to parquet files - SPARK-36807
Merge ANSI interval types to a tightest common type - SPARK-36723
day-time interval types should respect daylight saving time correctly - SPARK-36633
DivideDTInterval should throw the same exception when divide by zero. - SPARK-36632
DivideYMInterval and DivideDTInterval should throw the same exception when divide by zero. - SPARK-36524
Add common class/trait for ANSI interval types - SPARK-36521
Disallow comparison between Interval and String - SPARK-36499
Test Interval multiply / divide null - SPARK-36497
Support Interval add/subtract NULL - SPARK-36486
Support type constructed string as dat time interval - SPARK-36485
Support cast type constructed string to year month interval - SPARK-36468
Update docs about ANSI interval literals - SPARK-36431
Support comparison of ANSI intervals with different fields - SPARK-36349
Disallow ANSI intervals in file-based datasources - SPARK-36323
Support ANSI interval literals for TimeWindow - SPARK-36318
Update docs about mapping of ANSI interval types to Java/Scala/SQL types - SPARK-36222
Step by days in the Sequence expression for dates - SPARK-36208
SparkScriptTransformation should support ANSI interval types
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