[jira] [Created] (SPARK-39510) leverage the natural partitioning and ordering of MonotonicallyIncreasingID

["zhengruifeng (Jira)" <ji...@apache.org>]

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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