zhengruifeng created SPARK-39510:
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Summary: leverage the natural partitioning and ordering of
MonotonicallyIncreasingID
Key: SPARK-39510
URL: https://issues.apache.org/jira/browse/SPARK-39510
Project: Spark
Issue Type: Improvement
Components: SQL
Affects Versions: 3.4.0
Reporter: zhengruifeng
In Pandas-API-on-Spark:
1, *MonotonicallyIncreasingID* and *AttachDistributedSequence* are widely used
as the indexing type for big tables, they naturally have _RangePartitioning_
and _Ascending Ordering._
2, _Sorting by index_ is a common scenario, such as:
2.1 internally,
{color:#00875a}_Window.orderBy(NATURAL_ORDER_COLUMN_NAME)_{color} is widely
used in GroupBy, Rolling, Expanding, EWM, etc;
2.2 the __ {color:#00875a}_sort_index_ {color:#172b4d}should be a high
frequently used function for end users;{color}{color}
{color:#00875a}{color:#172b4d}So we should make *MonotonicallyIncreasingID* and
*AttachDistributedSequence* provide the _RangePartitioning_ and _Ascending
Ordering, so that the optimizer can leverage them._{color}{color}
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