Github user chenghao-intel commented on a diff in the pull request: https://github.com/apache/spark/pull/3249#discussion_r25552219 --- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala --- @@ -422,6 +424,108 @@ class Analyzer(catalog: Catalog, Generate(g, join = false, outer = false, None, child) } } + + /** + * Transforms the query which has subquery expressions in where clause to left semi join. + * select T1.x from T1 where T1.x in (select T2.y from T2) transformed to + * select T1.x from T1 left semi join T2 on T1.x = T2.y. + */ + object SubQueryExpressions extends Rule[LogicalPlan] { + + def apply(plan: LogicalPlan): LogicalPlan = plan transform { + case p: LogicalPlan if !p.childrenResolved => p + case filter @ Filter(conditions, child) => + val subqueryExprs = conditions.collect { + case In(exp, Seq(SubqueryExpression(subquery))) => (exp, subquery) + } + // Replace subqueries with a dummy true literal since they are evaluated separately now. + val transformedConds = conditions.transform { + case In(_, Seq(SubqueryExpression(_))) => Literal(true) + } + subqueryExprs match { + case Seq() => filter // No subqueries. + case Seq((exp, subquery)) => + createLeftSemiJoin( + child, + exp, + subquery, + transformedConds) + case _ => + throw new TreeNodeException(filter, "Only one SubQuery expression is supported.") + } + } + + /** + * Create LeftSemi join with parent query to the subquery which is mentioned in 'IN' predicate + * And combine the subquery conditions and parent query conditions. + */ + def createLeftSemiJoin(left: LogicalPlan, + value: Expression, + subquery: LogicalPlan, + parentConds: Expression) : LogicalPlan = { + val (transformedPlan, subqueryConds) = transformAndGetConditions(value, subquery) + // Add both parent query conditions and subquery conditions as join conditions + val allPredicates = And(parentConds, subqueryConds) + Join(left, transformedPlan, LeftSemi, Some(allPredicates)) + } + + /** + * Transform the subquery LogicalPlan and add the expressions which are used as filters to the + * projection. And also return filter conditions used in subquery + */ + def transformAndGetConditions(value: Expression, + subquery: LogicalPlan): (LogicalPlan, Expression) = { + val expr = new scala.collection.mutable.ArrayBuffer[Expression]() + // TODO : we only decorelate subqueries in very specific cases like the cases mentioned above + // in documentation. The more complex queries like using of subqueries inside subqueries can + // be supported in future. + val transformedPlan = subquery transform { + case project @ Project(projectList, f @ Filter(condition, child)) => + // Don't support more than one item in select list of subquery + if(projectList.size > 1) { + throw new TreeNodeException( + project, + "SubQuery can contain only one item in Select List") + } + val resolvedChild = ResolveRelations(child) + // Add the expressions to the projections which are used as filters in subquery + val toBeAddedExprs = f.references.filter{a => + resolvedChild.resolve(a.name, resolver) != None && !project.outputSet.contains(a)} + val nameToExprMap = collection.mutable.Map[String, Alias]() + // Create aliases for all projection expressions. + val witAliases = (projectList ++ toBeAddedExprs).zipWithIndex.map { + case (exp, index) => + nameToExprMap.put(exp.name, Alias(exp, s"sqc$index")()) + Alias(exp, s"sqc$index")() + } + // Replace the condition column names with alias names. + val transformedConds = condition.transform { --- End diff -- I am not so sure why you cares about the subquery condition, as in Hive wiki ``` As of Hive 0.13 some types of subqueries are supported in the WHERE clause. Those are queries where the result of the query can be treated as a constant for IN and NOT IN statements (called uncorrelated subqueries because the subquery does not reference columns from the parent query): ```
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