Github user fhueske commented on a diff in the pull request: https://github.com/apache/flink/pull/3673#discussion_r115737339 --- Diff: flink-libraries/flink-table/src/test/scala/org/apache/flink/table/api/scala/batch/sql/DataSetSingleRowJoinTest.scala --- @@ -187,9 +187,155 @@ class SingleRowJoinTest extends TableTestBase { ), term("where", "AND(<(a1, b1)", "=(a2, b2))"), term("join", "a1", "a2", "b1", "b2"), - term("joinType", "NestedLoopJoin") + term("joinType", "NestedLoopInnerJoin") ) util.verifySql(query, expected) } + + @Test + def testSingleRowJoinLeftOuterJoin(): Unit = { + val util = batchTestUtil() + util.addTable[(Long, Int)]("A", 'a1, 'a2) + util.addTable[(Int, Int)]("B", 'b1, 'b2) + + val queryLeftJoin = + "SELECT a2 FROM A " + + "LEFT JOIN " + + "(SELECT COUNT(*) AS cnt FROM B) " + + "AS x " + + "ON a1 = cnt" + + val expected = + unaryNode( + "DataSetCalc", + unaryNode( + "DataSetSingleRowJoin", + batchTableNode(0), + term("where", "=(a1, cnt)"), + term("join", "a1", "a2", "cnt"), + term("joinType", "NestedLoopLeftJoin") + ), + term("select", "a2") + ) + "\n" + + unaryNode( + "DataSetAggregate", + unaryNode( + "DataSetUnion", + unaryNode( + "DataSetValues", + unaryNode( + "DataSetCalc", + batchTableNode(1), + term("select", "0 AS $f0")), + tuples(List(null)), term("values", "$f0") + ), + term("union", "$f0") + ), + term("select", "COUNT(*) AS cnt") + ) + + util.verifySql(queryLeftJoin, expected) + } + + @Test + def testSingleRowJoinRightOuterJoin(): Unit = { + val util = batchTestUtil() + util.addTable[(Long, Int)]("A", 'a1, 'a2) + util.addTable[(Int, Int)]("B", 'b1, 'b2) + + val queryRightJoin = --- End diff -- Because the optimizer decides to execute the join as a regular join (see `DataSetJoin` in the plan). If we change the predicate to a non-equality predicate (`a1 < cnt`) the regular join cannot be used, and we can force a single row join.
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