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org.apache.spark.sql.catalyst.analysis.Analyzer

ExtractWindowExpressions

object ExtractWindowExpressions extends Rule[LogicalPlan]

Extracts WindowExpressions from the projectList of a Project operator and aggregateExpressions of an Aggregate operator and creates individual Window operators for every distinct WindowSpecDefinition.

This rule handles three cases:

  • A Project having WindowExpressions in its projectList;
  • An Aggregate having WindowExpressions in its aggregateExpressions.
  • A Filter->Aggregate pattern representing GROUP BY with a HAVING clause and the Aggregate has WindowExpressions in its aggregateExpressions. Note: If there is a GROUP BY clause in the query, aggregations and corresponding filters (expressions in the HAVING clause) should be evaluated before any WindowExpression. If a query has SELECT DISTINCT, the DISTINCT part should be evaluated after all WindowExpressions.

For every case, the transformation works as follows: 1. For a list of Expressions (a projectList or an aggregateExpressions), partitions it two lists of Expressions, one for all WindowExpressions and another for all regular expressions. 2. For all WindowExpressions, groups them based on their WindowSpecDefinitions and WindowFunctionTypes. 3. For every distinct WindowSpecDefinition and WindowFunctionType, creates a Window operator and inserts it into the plan tree.

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