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new 16818da [FLINK-12743][table-runtime-blink] Introduce unbounded
streaming anti/semi join operator
16818da is described below
commit 16818dad7e04fac8f862771a23a702f72e605e72
Author: Jark Wu <imj...@gmail.com>
AuthorDate: Wed Jun 19 20:04:08 2019 +0800
[FLINK-12743][table-runtime-blink] Introduce unbounded streaming anti/semi
join operator
This closes #8792
---
.../nodes/physical/stream/StreamExecJoin.scala | 44 +-
.../runtime/stream/sql/Limit0RemoveITCase.scala | 6 +-
.../stream/sql/SemiAntiJoinStreamITCase.scala | 541 +++++++++++++++++++++
.../table/runtime/join/NullAwareJoinHelper.java | 4 +-
.../join/stream/AbstractStreamingJoinOperator.java | 259 ++++++++++
.../runtime/join/stream/StreamingJoinOperator.java | 216 +-------
.../join/stream/StreamingSemiAntiJoinOperator.java | 199 ++++++++
7 files changed, 1035 insertions(+), 234 deletions(-)
diff --git
a/flink-table/flink-table-planner-blink/src/main/scala/org/apache/flink/table/plan/nodes/physical/stream/StreamExecJoin.scala
b/flink-table/flink-table-planner-blink/src/main/scala/org/apache/flink/table/plan/nodes/physical/stream/StreamExecJoin.scala
index 015e0ea..a7fb264 100644
---
a/flink-table/flink-table-planner-blink/src/main/scala/org/apache/flink/table/plan/nodes/physical/stream/StreamExecJoin.scala
+++
b/flink-table/flink-table-planner-blink/src/main/scala/org/apache/flink/table/plan/nodes/physical/stream/StreamExecJoin.scala
@@ -25,14 +25,14 @@ import org.apache.calcite.rel.metadata.RelMetadataQuery
import org.apache.calcite.rel.{RelNode, RelWriter}
import org.apache.calcite.rex.RexNode
import org.apache.flink.streaming.api.transformations.{StreamTransformation,
TwoInputTransformation}
-import org.apache.flink.table.api.{StreamTableEnvironment, TableException}
+import org.apache.flink.table.api.StreamTableEnvironment
import org.apache.flink.table.calcite.FlinkTypeFactory
import org.apache.flink.table.dataformat.BaseRow
import org.apache.flink.table.plan.nodes.common.CommonPhysicalJoin
import org.apache.flink.table.plan.nodes.exec.{ExecNode, StreamExecNode}
import org.apache.flink.table.plan.util.{JoinUtil, KeySelectorUtil,
RelExplainUtil}
import org.apache.flink.table.runtime.join.FlinkJoinType
-import org.apache.flink.table.runtime.join.stream.StreamingJoinOperator
+import org.apache.flink.table.runtime.join.stream.{StreamingJoinOperator,
StreamingSemiAntiJoinOperator}
import org.apache.flink.table.runtime.join.stream.state.JoinInputSideSpec
import org.apache.flink.table.typeutils.BaseRowTypeInfo
@@ -162,24 +162,32 @@ class StreamExecJoin(
leftType.toRowType,
rightType.toRowType)
- if (joinType == JoinRelType.ANTI || joinType == JoinRelType.SEMI) {
- throw new TableException("SEMI/ANTI Join is not supported yet.")
- }
-
- val leftIsOuter = joinType == JoinRelType.LEFT || joinType ==
JoinRelType.FULL
- val rightIsOuter = joinType == JoinRelType.RIGHT || joinType ==
JoinRelType.FULL
val minRetentionTime = tableConfig.getMinIdleStateRetentionTime
- val operator = new StreamingJoinOperator(
- leftType,
- rightType,
- generatedCondition,
- leftInputSpec,
- rightInputSpec,
- leftIsOuter,
- rightIsOuter,
- filterNulls,
- minRetentionTime)
+ val operator = if (joinType == JoinRelType.ANTI || joinType ==
JoinRelType.SEMI) {
+ new StreamingSemiAntiJoinOperator(
+ joinType == JoinRelType.ANTI,
+ leftType,
+ rightType,
+ generatedCondition,
+ leftInputSpec,
+ rightInputSpec,
+ filterNulls,
+ minRetentionTime)
+ } else {
+ val leftIsOuter = joinType == JoinRelType.LEFT || joinType ==
JoinRelType.FULL
+ val rightIsOuter = joinType == JoinRelType.RIGHT || joinType ==
JoinRelType.FULL
+ new StreamingJoinOperator(
+ leftType,
+ rightType,
+ generatedCondition,
+ leftInputSpec,
+ rightInputSpec,
+ leftIsOuter,
+ rightIsOuter,
+ filterNulls,
+ minRetentionTime)
+ }
val ret = new TwoInputTransformation[BaseRow, BaseRow, BaseRow](
leftTransform,
diff --git
a/flink-table/flink-table-planner-blink/src/test/scala/org/apache/flink/table/runtime/stream/sql/Limit0RemoveITCase.scala
b/flink-table/flink-table-planner-blink/src/test/scala/org/apache/flink/table/runtime/stream/sql/Limit0RemoveITCase.scala
index 6a402d5..6bb8aea 100644
---
a/flink-table/flink-table-planner-blink/src/test/scala/org/apache/flink/table/runtime/stream/sql/Limit0RemoveITCase.scala
+++
b/flink-table/flink-table-planner-blink/src/test/scala/org/apache/flink/table/runtime/stream/sql/Limit0RemoveITCase.scala
@@ -122,8 +122,7 @@ class Limit0RemoveITCase extends StreamingTestBase() {
assertEquals(expected, sink.getAppendResults.sorted)
}
- @Test(expected = classOf[TableException])
- // TODO remove exception after translateToPlanInternal is implemented in
StreamExecJoin
+ @Test
def testLimitRemoveWithExists(): Unit = {
val ds1 = env.fromCollection(Seq(1, 2, 3, 4, 5, 6))
val table1 = ds1.toTable(tEnv, 'a)
@@ -143,8 +142,7 @@ class Limit0RemoveITCase extends StreamingTestBase() {
assertEquals(0, sink.getRawResults.size)
}
- @Test(expected = classOf[TableException])
- // TODO remove exception after translateToPlanInternal is implemented in
StreamExecJoin
+ @Test
def testLimitRemoveWithNotExists(): Unit = {
val ds1 = env.fromCollection(Seq(1, 2, 3, 4, 5, 6))
val table1 = ds1.toTable(tEnv, 'a)
diff --git
a/flink-table/flink-table-planner-blink/src/test/scala/org/apache/flink/table/runtime/stream/sql/SemiAntiJoinStreamITCase.scala
b/flink-table/flink-table-planner-blink/src/test/scala/org/apache/flink/table/runtime/stream/sql/SemiAntiJoinStreamITCase.scala
new file mode 100644
index 0000000..f9407bb
--- /dev/null
+++
b/flink-table/flink-table-planner-blink/src/test/scala/org/apache/flink/table/runtime/stream/sql/SemiAntiJoinStreamITCase.scala
@@ -0,0 +1,541 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.flink.table.runtime.stream.sql
+
+import org.apache.flink.api.scala._
+import org.apache.flink.table.api.scala._
+import
org.apache.flink.table.runtime.utils.StreamingWithStateTestBase.StateBackendMode
+import org.apache.flink.table.runtime.utils.{StreamingWithStateTestBase,
TestData, TestingRetractSink}
+import org.apache.flink.types.Row
+import org.junit.Assert._
+import org.junit._
+import org.junit.runner.RunWith
+import org.junit.runners.Parameterized
+
+import scala.collection.Seq
+
+@RunWith(classOf[Parameterized])
+class SemiAntiJoinStreamITCase(state: StateBackendMode)
+ extends StreamingWithStateTestBase(state) {
+
+ override def before(): Unit = {
+ super.before()
+ val tableA = failingDataSource(TestData.smallTupleData3)
+ .toTable(tEnv, 'a1, 'a2, 'a3)
+ val tableB = failingDataSource(TestData.tupleData5)
+ .toTable(tEnv, 'b1, 'b2, 'b3, 'b4, 'b5)
+ tEnv.registerTable("A", tableA)
+ tEnv.registerTable("B", tableB)
+ }
+
+ val data = List(
+ (1, 1L, 0, "Hallo", 1L),
+ (2, 2L, 1, "Hallo Welt", 2L),
+ (2, 3L, 2, "Hallo Welt wie", 1L),
+ (3, 4L, 3, "Hallo Welt wie gehts?", 2L),
+ (3, 5L, 4, "ABC", 2L),
+ (3, 6L, 5, "BCD", 3L)
+ )
+
+ val data2 = List(
+ (1, 1L, "Hi"),
+ (2, 2L, "Hello"),
+ (3, 2L, "Hello world")
+ )
+
+ val dataCannotBeJoin = List(
+ (2, 3L, 2, "Hallo Welt wie", 1L),
+ (3, 4L, 3, "Hallo Welt wie gehts?", 2L),
+ (3, 5L, 4, "ABC", 2L),
+ (3, 6L, 5, "BCD", 3L)
+ )
+
+ @Test
+ def testGenericSemiJoin(): Unit = {
+ val ds1 = failingDataSource(data2).toTable(tEnv, 'a, 'b, 'c)
+ val ds2 = failingDataSource(data).toTable(tEnv, 'd, 'e, 'f, 'g, 'h)
+ tEnv.registerTable("ds1", ds1)
+ tEnv.registerTable("ds2", ds2)
+ val query = "SELECT a, b, c FROM ds1 WHERE a in (SELECT d from ds2 WHERE d
< 3)"
+
+ val sink = new TestingRetractSink
+ tEnv.sqlQuery(query).toRetractStream[Row].addSink(sink).setParallelism(1)
+ env.execute()
+
+ val expected = Seq("1,1,Hi", "2,2,Hello")
+ assertEquals(expected.sorted, sink.getRetractResults.sorted)
+ }
+
+ @Test
+ def testSemiJoinWithOneSideRetraction(): Unit = {
+ val leftTable = List(
+ (1, "a"),
+ (2, "b"),
+ (10, "c"),
+ (6, "d"),
+ (8, "e")
+ )
+
+ val rightTable = List(
+ (0, "a"),
+ (1, "a"),
+ (1, "b"),
+ (1, "b"),
+ (1, "c"),
+ (2, "c"),
+ (3, "c"),
+ (4, "c"),
+ (1, "d"),
+ (2, "d"),
+ (3, "d"),
+ (4, "e"),
+ (4, "e")
+ )
+
+ val ds1 = failingDataSource(leftTable).toTable(tEnv, 'a, 'b)
+ val ds2 = failingDataSource(rightTable).toTable(tEnv, 'c, 'd)
+ tEnv.registerTable("ds1", ds1)
+ tEnv.registerTable("ds2", ds2)
+ val query = "SELECT a FROM ds1 WHERE a in (SELECT sum(c) from ds2 GROUP BY
d)"
+
+ val sink = new TestingRetractSink
+ tEnv.sqlQuery(query).toRetractStream[Row].addSink(sink).setParallelism(1)
+ env.execute()
+ val expected = Seq("1", "2", "10", "6", "8")
+ assertEquals(expected.sorted, sink.getRetractResults.sorted)
+ }
+
+ @Test
+ def testSemiJoinWithRetractTwoSidesRetraction(): Unit = {
+
+ val tableData = List(
+ (0, "a"),
+ (1, "a"),
+ (1, "b"),
+ (1, "b"),
+ (1, "c"),
+ (2, "c"),
+ (3, "c"),
+ (4, "c"),
+ (1, "d"),
+ (2, "d"),
+ (3, "d"),
+ (3, "e"),
+ (5, "e")
+ )
+ val ds1 = failingDataSource(tableData).toTable(tEnv, 'a, 'b)
+ val ds2 = failingDataSource(tableData).toTable(tEnv, 'c, 'd)
+ tEnv.registerTable("ds1", ds1)
+ tEnv.registerTable("ds2", ds2)
+ val ds3 = tEnv.sqlQuery("SELECT sum(a) as a FROM ds1 GROUP BY b")
+ tEnv.registerTable("ds3", ds3)
+ val query = "SELECT a FROM ds3 WHERE a in (SELECT sum(c) from ds2 GROUP BY
d)"
+ val result = tEnv.sqlQuery(query)
+
+ val sink = new TestingRetractSink
+ result.toRetractStream[Row].addSink(sink).setParallelism(1)
+ env.execute()
+
+ val expected = Seq("1", "2", "10", "6", "8")
+ assertEquals(expected.sorted, sink.getRetractResults.sorted)
+ }
+
+ @Test
+ def testGenericAntiJoin(): Unit = {
+ val ds1 = failingDataSource(data).toTable(tEnv, 'a, 'b, 'c, 'd, 'e)
+ val ds2 = failingDataSource(data2).toTable(tEnv, 'f, 'g, 'h)
+ tEnv.registerTable("ds1", ds1)
+ tEnv.registerTable("ds2", ds2)
+ val query = "SELECT c FROM ds1 WHERE NOT EXISTS (SELECT * from ds2 WHERE b
= g)"
+
+ val sink = new TestingRetractSink
+ tEnv.sqlQuery(query).toRetractStream[Row].addSink(sink).setParallelism(1)
+ env.execute()
+ val expected = Seq("2", "3", "4", "5")
+ assertEquals(expected.sorted, sink.getRetractResults.sorted)
+ }
+
+ @Test
+ def testAntiJoinWithOneSideRetraction(): Unit = {
+ val leftTable = List(
+ (1, "a"),
+ (2, "b"),
+ (10, "c"),
+ (6, "d"),
+ (8, "e"),
+ (11, "f")
+ )
+
+ val rightTable = List(
+ (0, "a"),
+ (1, "a"),
+ (1, "b"),
+ (1, "b"),
+ (1, "c"),
+ (2, "c"),
+ (3, "c"),
+ (4, "c"),
+ (1, "d"),
+ (2, "d"),
+ (3, "d"),
+ (4, "e"),
+ (4, "e")
+ )
+
+ val ds1 = failingDataSource(leftTable).toTable(tEnv, 'a, 'b)
+ val ds2 = failingDataSource(rightTable).toTable(tEnv, 'c, 'd)
+ tEnv.registerTable("ds1", ds1)
+ tEnv.registerTable("ds2", ds2)
+ val ds3 = tEnv.sqlQuery("SELECT SUM(c) as c FROM ds2 GROUP BY d")
+ tEnv.registerTable("ds3", ds3)
+ val query = "SELECT * FROM ds1 WHERE NOT EXISTS (SELECT c from ds3 WHERE a
= c)"
+ val result = tEnv.sqlQuery(query)
+
+ val sink = new TestingRetractSink
+ result.toRetractStream[Row].addSink(sink).setParallelism(1)
+ env.execute()
+ val expected = Seq("11,f")
+ assertEquals(expected.sorted, sink.getRetractResults.sorted)
+ }
+
+ @Test
+ def testAntiJoinWithTwoSidesRetraction(): Unit = {
+ val leftTable = List(
+ (0, "a"),
+ (5, "f"),
+ (-2, "a"),
+ (1, "b"),
+ (1, "b"),
+ (1, "c"),
+ (2, "c"),
+ (3, "c"),
+ (1, "f"),
+ (4, "c"),
+ (1, "d"),
+ (2, "d"),
+ (3, "d"),
+ (4, "e"),
+ (3, "a"),
+ (3, "e"),
+ (2, "f")
+ )
+
+ val rightTable = List(
+ (0, "a"),
+ (1, "a"),
+ (1, "b"),
+ (1, "b"),
+ (1, "c"),
+ (2, "c"),
+ (3, "c"),
+ (4, "c"),
+ (1, "d"),
+ (2, "d"),
+ (3, "d"),
+ (4, "e"),
+ (3, "e")
+ )
+
+ val ds1 = failingDataSource(leftTable).toTable(tEnv, 'a, 'b)
+ val ds2 = failingDataSource(rightTable).toTable(tEnv, 'c, 'd)
+ tEnv.registerTable("ds1", ds1)
+ tEnv.registerTable("ds2", ds2)
+ val ds3 = tEnv.sqlQuery("SELECT SUM(c) as c FROM ds2 GROUP BY d")
+ tEnv.registerTable("ds3", ds3)
+ val ds4 = tEnv.sqlQuery("SELECT SUM(a) as a, b FROM ds1 GROUP BY b")
+ tEnv.registerTable("ds4", ds4)
+ val query = "SELECT * FROM ds4 WHERE NOT EXISTS (SELECT c from ds3 WHERE a
= c)"
+ val result = tEnv.sqlQuery(query)
+
+ val sink = new TestingRetractSink
+ result.toRetractStream[Row].addSink(sink).setParallelism(1)
+ env.execute()
+ val expected = Seq("8,f")
+ assertEquals(expected.sorted, sink.getRetractResults.sorted)
+ }
+
+ @Test
+ def testSemiJoin(): Unit = {
+ val query = "SELECT * FROM A WHERE a1 in (SELECT b1 from B)"
+ val result = tEnv.sqlQuery(query)
+
+ val sink = new TestingRetractSink
+ result.toRetractStream[Row].addSink(sink).setParallelism(1)
+ env.execute()
+
+ val expected = Seq("1,1,Hi", "2,2,Hello", "3,2,Hello world")
+ assertEquals(expected.sorted, sink.getRetractResults.sorted)
+ }
+
+ @Test
+ def testSemiJoinNonEqui(): Unit = {
+ val query = "SELECT * FROM A WHERE a1 in (SELECT b1 from B WHERE a2 < b2)"
+ val result = tEnv.sqlQuery(query)
+
+ val sink = new TestingRetractSink
+ result.toRetractStream[Row].addSink(sink).setParallelism(1)
+ env.execute()
+
+ val expected = Seq("2,2,Hello", "3,2,Hello world")
+ assertEquals(expected.sorted, sink.getRetractResults.sorted)
+ }
+
+ @Test
+ def testSemiJoinWithEqualPkNonEqui(): Unit = {
+ val query1 = "SELECT SUM(a2) AS a2, a1 FROM A group by a1"
+ val query2 = "SELECT SUM(b2) AS b2, b1 FROM B group by b1"
+ val query = s"SELECT * FROM ($query1) WHERE a1 in (SELECT b1 from
($query2) WHERE a2 < b2)"
+ val result = tEnv.sqlQuery(query)
+
+ val sink = new TestingRetractSink
+ result.toRetractStream[Row].addSink(sink).setParallelism(1)
+ env.execute()
+
+ val expected = Seq("2,3", "2,2")
+ assertEquals(expected.sorted, sink.getRetractResults.sorted)
+ }
+
+ @Test
+ def testSemiJoinWithRightNotPkNonEqui(): Unit = {
+ val query1 = "SELECT SUM(a2) AS a2, a1 FROM A group by a1"
+ val query = s"SELECT * FROM ($query1) WHERE a1 in (SELECT b1 from B WHERE
a2 < b2)"
+ val result = tEnv.sqlQuery(query)
+
+ val sink = new TestingRetractSink
+ result.toRetractStream[Row].addSink(sink).setParallelism(1)
+ env.execute()
+
+ val expected = Seq("2,2", "2,3")
+ assertEquals(expected.sorted, sink.getRetractResults.sorted)
+ }
+
+ @Test
+ def testSemiJoinWithPkNonEqui(): Unit = {
+ val query1 = "SELECT SUM(a2) AS a2, a1 FROM A group by a1"
+ val query2 = "SELECT SUM(b2) AS b2, b1 FROM B group by b1"
+ val query = s"SELECT * FROM ($query1) WHERE a2 in (SELECT b2 from
($query2) WHERE a1 > b1)"
+ val result = tEnv.sqlQuery(query)
+
+ val sink = new TestingRetractSink
+ result.toRetractStream[Row].addSink(sink).setParallelism(1)
+ env.execute()
+
+ assertEquals(0, sink.getRetractResults.size)
+ }
+
+ @Test
+ def testAntiJoin(): Unit = {
+ val query = "SELECT * FROM A WHERE NOT EXISTS (SELECT b1 from B WHERE a1 =
b1)"
+ val result = tEnv.sqlQuery(query)
+
+ val sink = new TestingRetractSink
+ result.toRetractStream[Row].addSink(sink).setParallelism(1)
+ env.execute()
+
+ assertEquals(0, sink.getRetractResults.size)
+ }
+
+ @Test
+ def testAntiJoinNonEqui(): Unit = {
+ val query = "SELECT * FROM A WHERE NOT EXISTS (SELECT b1 from B WHERE a1 =
b1 AND a2 < b2)"
+ val result = tEnv.sqlQuery(query)
+
+ val sink = new TestingRetractSink
+ result.toRetractStream[Row].addSink(sink).setParallelism(1)
+ env.execute()
+
+ val expected = Seq("1,1,Hi")
+ assertEquals(expected.sorted, sink.getRetractResults.sorted)
+ }
+
+ @Test
+ def testAntiJoinWithEqualPkNonEqui(): Unit = {
+ val query1 = "SELECT SUM(a2) AS a2, a1 FROM A group by a1"
+ val query2 = "SELECT SUM(b2) AS b2, b1 FROM B group by b1"
+ val query = s"SELECT * FROM ($query1) WHERE NOT EXISTS (SELECT b1 from
($query2) WHERE a1 = " +
+ s"b1 AND a2 < b2)"
+ val result = tEnv.sqlQuery(query)
+
+ val sink = new TestingRetractSink
+ result.toRetractStream[Row].addSink(sink).setParallelism(1)
+ env.execute()
+
+ val expected = Seq("1,1")
+ assertEquals(expected.sorted, sink.getRetractResults.sorted)
+ }
+
+ @Test
+ def testAntiJoinWithRightNotPkNonEqui(): Unit = {
+ val query1 = "SELECT SUM(a2) AS a2, a1 FROM A group by a1"
+ val query = s"SELECT * FROM ($query1) WHERE NOT EXISTS (SELECT b1 from B
WHERE a1 = b1 AND a2" +
+ s" > b2)"
+ val result = tEnv.sqlQuery(query)
+
+ val sink = new TestingRetractSink
+ result.toRetractStream[Row].addSink(sink).setParallelism(1)
+ env.execute()
+
+ val expected = Seq("2,2", "1,1", "2,3")
+ assertEquals(expected.sorted, sink.getRetractResults.sorted)
+ }
+
+ @Test
+ def testAntiJoinWithPkNonEqui(): Unit = {
+ val query1 = "SELECT SUM(a2) AS a2, a1 FROM A group by a1"
+ val query2 = "SELECT SUM(b2) AS b2, b1 FROM B group by b1"
+ val query = s"SELECT * FROM ($query1) WHERE NOT EXISTS (SELECT b2 from
($query2) WHERE a2 = " +
+ s"b2 AND a1 > b1)"
+ val result = tEnv.sqlQuery(query)
+
+ val sink = new TestingRetractSink
+ result.toRetractStream[Row].addSink(sink).setParallelism(1)
+ env.execute()
+
+ val expected = Seq("1,1", "2,3", "2,2")
+ assertEquals(expected.sorted, sink.getRetractResults.sorted)
+ }
+
+ @Test
+ def testStreamNotInWithoutEqual(): Unit = {
+ val data1 = List(
+ (1, 1),
+ (1, 1),
+ (2, 2),
+ (2, 2),
+ (3, 3),
+ (3, 3),
+ (4, 4),
+ (4, 4),
+ (5, 5),
+ (5, 5))
+
+ val data2 = List(
+ (1, 1),
+ (2, 2),
+ (3, 3),
+ (4, 4),
+ (5, 5),
+ (6, 6),
+ (7, 7),
+ (8, 8),
+ (9, 9),
+ (10, 10))
+
+ val ds1 = failingDataSource(data1).toTable(tEnv, 'pk, 'a)
+ val ds2 = failingDataSource(data2).toTable(tEnv, 'pk, 'a)
+ tEnv.registerTable("ds1", ds1)
+ tEnv.registerTable("ds2", ds2)
+
+ val sql =
+ """
+ |SELECT pk FROM ds1 WHERE pk not in
+ |(SELECT pk FROM ds1 WHERE pk > 3)
+ """.stripMargin
+
+ val sink = new TestingRetractSink
+ tEnv.sqlQuery(sql).toRetractStream[Row].addSink(sink).setParallelism(1)
+ env.execute()
+
+ val expected = Seq("1", "1",
+ "2", "2",
+ "3", "3")
+ assertEquals(expected.sorted, sink.getRetractResults.sorted)
+ }
+
+ @Test
+ def testStreamExistsWithoutEqual(): Unit = {
+ val data1 = List(
+ (10, "ACCOUNTING", "NEW YORK"),
+ (20, "RESEARCH", "DALLAS"),
+ (30, "SALES", "CHICAGO"),
+ (40, "OPERATIONS", "BOSTON"))
+
+ val data2 = List(
+ (7369, "SMITH", 20),
+ (7499, "ALLEN", 30),
+ (7566, "JONES", 20),
+ (7654, "MARTIN", 30))
+
+ val ds1 = failingDataSource(data1).toTable(tEnv, 'deptno, 'dname, 'loc)
+ val ds2 = failingDataSource(data2).toTable(tEnv, 'empno, 'ename, 'deptno)
+ tEnv.registerTable("scott_dept", ds1)
+ tEnv.registerTable("scott_emp", ds2)
+
+ val sql =
+ """
+ |select *
+ |from scott_dept as d
+ |where exists (select 1 from scott_emp where empno > d.deptno)
+ |and exists (select 0 from scott_emp where deptno = d.deptno and ename
= 'SMITH')
+ """.stripMargin
+
+ val sink = new TestingRetractSink
+ tEnv.sqlQuery(sql).toRetractStream[Row].addSink(sink).setParallelism(1)
+ env.execute()
+
+ val expected = Seq("20,RESEARCH,DALLAS")
+ assertEquals(expected.sorted, sink.getRetractResults.sorted)
+ }
+
+ @Test
+ def testStreamNotExistsWithoutEqual(): Unit = {
+ val data1 = List(
+ (1, 1),
+ (1, 1),
+ (2, 2),
+ (2, 2),
+ (3, 3),
+ (3, 3),
+ (4, 4),
+ (4, 4),
+ (5, 5),
+ (5, 5))
+
+ val data2 = List(
+ (5, 5),
+ (6, 6),
+ (7, 7),
+ (8, 8),
+ (9, 9),
+ (10, 10))
+
+ val ds1 = failingDataSource(data1).toTable(tEnv, 'pk, 'a)
+ val ds2 = failingDataSource(data2).toTable(tEnv, 'pk, 'a)
+ tEnv.registerTable("ds1", ds1)
+ tEnv.registerTable("ds2", ds2)
+
+ val sql =
+ """
+ |SELECT pk FROM ds1 WHERE NOT EXISTS
+ |(SELECT 1 FROM ds2 WHERE ds2.pk < ds1.pk)
+ """.stripMargin
+
+ val sink = new TestingRetractSink
+ tEnv.sqlQuery(sql).toRetractStream[Row].addSink(sink).setParallelism(1)
+ env.execute()
+
+ val expected = Seq("1", "1",
+ "2", "2",
+ "3", "3",
+ "4", "4",
+ "5", "5")
+ assertEquals(expected.sorted, sink.getRetractResults.sorted)
+ }
+}
+
diff --git
a/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/join/NullAwareJoinHelper.java
b/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/join/NullAwareJoinHelper.java
index c0dcb6f..45715de 100644
---
a/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/join/NullAwareJoinHelper.java
+++
b/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/join/NullAwareJoinHelper.java
@@ -25,7 +25,7 @@ import org.apache.commons.lang3.ArrayUtils;
import java.util.ArrayList;
import java.util.List;
-import static org.apache.flink.util.Preconditions.checkArgument;
+import static org.apache.flink.util.Preconditions.checkNotNull;
/**
* Helper for null aware join.
@@ -33,7 +33,7 @@ import static
org.apache.flink.util.Preconditions.checkArgument;
public class NullAwareJoinHelper {
public static int[] getNullFilterKeys(boolean[] filterNulls) {
- checkArgument(filterNulls.length > 0);
+ checkNotNull(filterNulls);
List<Integer> nullFilterKeyList = new ArrayList<>();
for (int i = 0; i < filterNulls.length; i++) {
if (filterNulls[i]) {
diff --git
a/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/join/stream/AbstractStreamingJoinOperator.java
b/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/join/stream/AbstractStreamingJoinOperator.java
new file mode 100644
index 0000000..75ef1d7
--- /dev/null
+++
b/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/join/stream/AbstractStreamingJoinOperator.java
@@ -0,0 +1,259 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.flink.table.runtime.join.stream;
+
+import org.apache.flink.api.java.tuple.Tuple2;
+import org.apache.flink.streaming.api.operators.AbstractStreamOperator;
+import org.apache.flink.streaming.api.operators.TimestampedCollector;
+import org.apache.flink.streaming.api.operators.TwoInputStreamOperator;
+import org.apache.flink.table.dataformat.BaseRow;
+import org.apache.flink.table.dataformat.BinaryRow;
+import org.apache.flink.table.generated.GeneratedJoinCondition;
+import org.apache.flink.table.generated.JoinCondition;
+import org.apache.flink.table.runtime.join.NullAwareJoinHelper;
+import org.apache.flink.table.runtime.join.stream.state.JoinInputSideSpec;
+import org.apache.flink.table.runtime.join.stream.state.JoinRecordStateView;
+import
org.apache.flink.table.runtime.join.stream.state.OuterJoinRecordStateView;
+import org.apache.flink.table.typeutils.BaseRowTypeInfo;
+import org.apache.flink.util.IterableIterator;
+
+import java.util.ArrayList;
+import java.util.Iterator;
+import java.util.List;
+
+import static org.apache.flink.util.Preconditions.checkNotNull;
+
+/**
+ * Abstract implementation for streaming unbounded Join operator which defines
some member fields
+ * can be shared between different implementations.
+ */
+public abstract class AbstractStreamingJoinOperator extends
AbstractStreamOperator<BaseRow>
+ implements TwoInputStreamOperator<BaseRow, BaseRow, BaseRow> {
+
+ private static final long serialVersionUID = -376944622236540545L;
+
+ protected static final String LEFT_RECORDS_STATE_NAME = "left-records";
+ protected static final String RIGHT_RECORDS_STATE_NAME =
"right-records";
+
+ private final GeneratedJoinCondition generatedJoinCondition;
+ protected final BaseRowTypeInfo leftType;
+ protected final BaseRowTypeInfo rightType;
+
+ protected final JoinInputSideSpec leftInputSideSpec;
+ protected final JoinInputSideSpec rightInputSideSpec;
+
+ /**
+ * Should filter null keys.
+ */
+ private final int[] nullFilterKeys;
+
+ /**
+ * No keys need to filter null.
+ */
+ private final boolean nullSafe;
+
+ /**
+ * Filter null to all keys.
+ */
+ private final boolean filterAllNulls;
+
+ protected final long minRetentionTime;
+ protected final boolean stateCleaningEnabled;
+
+ protected transient JoinCondition joinCondition;
+ protected transient TimestampedCollector<BaseRow> collector;
+
+ public AbstractStreamingJoinOperator(
+ BaseRowTypeInfo leftType,
+ BaseRowTypeInfo rightType,
+ GeneratedJoinCondition generatedJoinCondition,
+ JoinInputSideSpec leftInputSideSpec,
+ JoinInputSideSpec rightInputSideSpec,
+ boolean[] filterNullKeys,
+ long minRetentionTime) {
+ this.leftType = leftType;
+ this.rightType = rightType;
+ this.generatedJoinCondition = generatedJoinCondition;
+ this.leftInputSideSpec = leftInputSideSpec;
+ this.rightInputSideSpec = rightInputSideSpec;
+ this.minRetentionTime = minRetentionTime;
+ this.stateCleaningEnabled = minRetentionTime > 1;
+ this.nullFilterKeys =
NullAwareJoinHelper.getNullFilterKeys(filterNullKeys);
+ this.nullSafe = nullFilterKeys.length == 0;
+ this.filterAllNulls = nullFilterKeys.length ==
filterNullKeys.length;
+ }
+
+ @Override
+ public void open() throws Exception {
+ super.open();
+
+ this.joinCondition = new JoinConditionWithNullFilters(
+
generatedJoinCondition.newInstance(getRuntimeContext().getUserCodeClassLoader()));
+
+ this.collector = new TimestampedCollector<>(output);
+ }
+
+ //
----------------------------------------------------------------------------------------
+ // Utility Classes
+ //
----------------------------------------------------------------------------------------
+
+ private class JoinConditionWithNullFilters implements JoinCondition {
+
+ final JoinCondition backingJoinCondition;
+
+ private JoinConditionWithNullFilters(JoinCondition
backingJoinCondition) {
+ this.backingJoinCondition = backingJoinCondition;
+ }
+
+ @Override
+ public boolean apply(BaseRow left, BaseRow right) {
+ if (!nullSafe) { // is not null safe, return false if
any null exists
+ // key is always BinaryRow
+ BinaryRow joinKey = (BinaryRow) getCurrentKey();
+ if (filterAllNulls ? joinKey.anyNull() :
joinKey.anyNull(nullFilterKeys)) {
+ // find null present, return false
directly
+ return false;
+ }
+ }
+ // test condition
+ return backingJoinCondition.apply(left, right);
+ }
+ }
+
+ /**
+ * The {@link AssociatedRecords} is the records associated to the input
row. It is a wrapper
+ * of {@code List<OuterRecord>} which provides two helpful methods
{@link #getRecords()} and
+ * {@link #getOuterRecords()}. See the method Javadoc for more details.
+ */
+ protected static final class AssociatedRecords {
+ private final List<OuterRecord> records;
+
+ private AssociatedRecords(List<OuterRecord> records) {
+ checkNotNull(records);
+ this.records = records;
+ }
+
+ public boolean isEmpty() {
+ return records.isEmpty();
+ }
+
+ public int size() {
+ return records.size();
+ }
+
+ /**
+ * Gets the iterable of records. This is usually be called when
the
+ * {@link AssociatedRecords} is from inner side.
+ */
+ public Iterable<BaseRow> getRecords() {
+ return new RecordsIterable(records);
+ }
+
+ /**
+ * Gets the iterable of {@link OuterRecord} which composites
record and numOfAssociations.
+ * This is usually be called when the {@link AssociatedRecords}
is from outer side.
+ */
+ public Iterable<OuterRecord> getOuterRecords() {
+ return records;
+ }
+
+ /**
+ * Creates an {@link AssociatedRecords} which represents the
records associated to the
+ * input row.
+ */
+ public static AssociatedRecords of(
+ BaseRow input,
+ boolean inputIsLeft,
+ JoinRecordStateView otherSideStateView,
+ JoinCondition condition) throws Exception {
+ List<OuterRecord> associations = new ArrayList<>();
+ if (otherSideStateView instanceof
OuterJoinRecordStateView) {
+ OuterJoinRecordStateView outerStateView =
(OuterJoinRecordStateView) otherSideStateView;
+ Iterable<Tuple2<BaseRow, Integer>> records =
outerStateView.getRecordsAndNumOfAssociations();
+ for (Tuple2<BaseRow, Integer> record : records)
{
+ boolean matched = inputIsLeft ?
condition.apply(input, record.f0) : condition.apply(record.f0, input);
+ if (matched) {
+ associations.add(new
OuterRecord(record.f0, record.f1));
+ }
+ }
+ } else {
+ Iterable<BaseRow> records =
otherSideStateView.getRecords();
+ for (BaseRow record : records) {
+ boolean matched = inputIsLeft ?
condition.apply(input, record) : condition.apply(record, input);
+ if (matched) {
+ // use -1 as the default number
of associations
+ associations.add(new
OuterRecord(record, -1));
+ }
+ }
+ }
+ return new AssociatedRecords(associations);
+ }
+
+ }
+
+ /**
+ * A lazy Iterable which transform {@code List<OuterReocord>} to {@code
Iterable<BaseRow>}.
+ */
+ private static final class RecordsIterable implements
IterableIterator<BaseRow> {
+ private final List<OuterRecord> records;
+ private int index = 0;
+
+ private RecordsIterable(List<OuterRecord> records) {
+ this.records = records;
+ }
+
+ @Override
+ public Iterator<BaseRow> iterator() {
+ index = 0;
+ return this;
+ }
+
+ @Override
+ public boolean hasNext() {
+ return index < records.size();
+ }
+
+ @Override
+ public BaseRow next() {
+ BaseRow row = records.get(index).record;
+ index++;
+ return row;
+ }
+ }
+
+ /**
+ * An {@link OuterRecord} is a composite of record and {@code
numOfAssociations}. The
+ * {@code numOfAssociations} represents the number of associated
records in the other side.
+ * It is used when the record is from outer side (e.g. left side in
LEFT OUTER JOIN).
+ * When the {@code numOfAssociations} is ZERO, we need to send a null
padding row.
+ * This is useful to avoid recompute the associated numbers every time.
+ *
+ * <p>When the record is from inner side (e.g. right side in LEFT OUTER
JOIN), the
+ * {@code numOfAssociations} will always be {@code -1}.
+ */
+ protected static final class OuterRecord {
+ public final BaseRow record;
+ public final int numOfAssociations;
+
+ private OuterRecord(BaseRow record, int numOfAssociations) {
+ this.record = record;
+ this.numOfAssociations = numOfAssociations;
+ }
+ }
+}
diff --git
a/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/join/stream/StreamingJoinOperator.java
b/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/join/stream/StreamingJoinOperator.java
index 849eeec..2cc9896 100644
---
a/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/join/stream/StreamingJoinOperator.java
+++
b/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/join/stream/StreamingJoinOperator.java
@@ -18,74 +18,31 @@
package org.apache.flink.table.runtime.join.stream;
-import org.apache.flink.api.java.tuple.Tuple2;
-import org.apache.flink.streaming.api.operators.AbstractStreamOperator;
-import org.apache.flink.streaming.api.operators.TimestampedCollector;
-import org.apache.flink.streaming.api.operators.TwoInputStreamOperator;
import org.apache.flink.streaming.runtime.streamrecord.StreamRecord;
import org.apache.flink.table.dataformat.BaseRow;
-import org.apache.flink.table.dataformat.BinaryRow;
import org.apache.flink.table.dataformat.GenericRow;
import org.apache.flink.table.dataformat.JoinedRow;
import org.apache.flink.table.dataformat.util.BaseRowUtil;
import org.apache.flink.table.generated.GeneratedJoinCondition;
-import org.apache.flink.table.generated.JoinCondition;
-import org.apache.flink.table.runtime.join.NullAwareJoinHelper;
import org.apache.flink.table.runtime.join.stream.state.JoinInputSideSpec;
import org.apache.flink.table.runtime.join.stream.state.JoinRecordStateView;
import org.apache.flink.table.runtime.join.stream.state.JoinRecordStateViews;
import
org.apache.flink.table.runtime.join.stream.state.OuterJoinRecordStateView;
import
org.apache.flink.table.runtime.join.stream.state.OuterJoinRecordStateViews;
import org.apache.flink.table.typeutils.BaseRowTypeInfo;
-import org.apache.flink.util.IterableIterator;
-
-import java.util.ArrayList;
-import java.util.Iterator;
-import java.util.List;
-
-import static org.apache.flink.util.Preconditions.checkNotNull;
/**
* Streaming unbounded Join operator which supports INNER/LEFT/RIGHT/FULL JOIN.
*/
-public class StreamingJoinOperator extends AbstractStreamOperator<BaseRow>
- implements TwoInputStreamOperator<BaseRow, BaseRow, BaseRow> {
+public class StreamingJoinOperator extends AbstractStreamingJoinOperator {
private static final long serialVersionUID = -376944622236540545L;
- private final BaseRowTypeInfo leftType;
- private final BaseRowTypeInfo rightType;
- private final GeneratedJoinCondition generatedJoinCondition;
-
- private final JoinInputSideSpec leftInputSideSpec;
- private final JoinInputSideSpec rightInputSideSpec;
-
// whether left side is outer side, e.g. left is outer but right is not
when LEFT OUTER JOIN
private final boolean leftIsOuter;
// whether right side is outer side, e.g. right is outer but left is
not when RIGHT OUTER JOIN
private final boolean rightIsOuter;
- /**
- * Should filter null keys.
- */
- private final int[] nullFilterKeys;
-
- /**
- * No keys need to filter null.
- */
- private final boolean nullSafe;
-
- /**
- * Filter null to all keys.
- */
- private final boolean filterAllNulls;
-
- private final long minRetentionTime;
- private final boolean stateCleaningEnabled;
-
- private transient JoinCondition joinCondition;
- private transient TimestampedCollector<BaseRow> collector;
-
private transient JoinedRow outRow;
private transient BaseRow leftNullRow;
private transient BaseRow rightNullRow;
@@ -105,28 +62,15 @@ public class StreamingJoinOperator extends
AbstractStreamOperator<BaseRow>
boolean rightIsOuter,
boolean[] filterNullKeys,
long minRetentionTime) {
- this.leftType = leftType;
- this.rightType = rightType;
- this.generatedJoinCondition = generatedJoinCondition;
- this.leftInputSideSpec = leftInputSideSpec;
- this.rightInputSideSpec = rightInputSideSpec;
- this.minRetentionTime = minRetentionTime;
- this.stateCleaningEnabled = minRetentionTime > 1;
+ super(leftType, rightType, generatedJoinCondition,
leftInputSideSpec, rightInputSideSpec, filterNullKeys, minRetentionTime);
this.leftIsOuter = leftIsOuter;
this.rightIsOuter = rightIsOuter;
- this.nullFilterKeys =
NullAwareJoinHelper.getNullFilterKeys(filterNullKeys);
- this.nullSafe = nullFilterKeys.length == 0;
- this.filterAllNulls = nullFilterKeys.length ==
filterNullKeys.length;
}
@Override
public void open() throws Exception {
super.open();
- this.joinCondition = new JoinConditionWithNullFilters(
-
generatedJoinCondition.newInstance(getRuntimeContext().getUserCodeClassLoader()));
-
- this.collector = new TimestampedCollector<>(output);
this.outRow = new JoinedRow();
this.leftNullRow = new GenericRow(leftType.getArity());
this.rightNullRow = new GenericRow(rightType.getArity());
@@ -183,9 +127,9 @@ public class StreamingJoinOperator extends
AbstractStreamOperator<BaseRow>
* Process an input element and output incremental joined records,
retraction messages will
* be sent in some scenarios.
*
- * <p>Following is the pseudocode to describe the core logic of this
method. The logic of this
- * method is too complex, so we provide the pseudocode to help
understand the logic. We should
- * keep sync the following pseudocode with the real logic of the method.
+ * <p>Following is the pseudo code to describe the core logic of this
method. The logic of this
+ * method is too complex, so we provide the pseudo code to help
understand the logic. We should
+ * keep sync the following pseudo code with the real logic of the
method.
*
* <pre>
* if input record is accumulate
@@ -302,6 +246,7 @@ public class StreamingJoinOperator extends
AbstractStreamOperator<BaseRow>
}
} else { // input record is retract
// state.retract(record)
+ input.setHeader(BaseRowUtil.ACCUMULATE_MSG);
inputSideStateView.retractRecord(input);
if (associatedRecords.isEmpty()) { // there is no
matched rows on the other side
if (inputIsOuter) { // input side is outer
@@ -352,153 +297,4 @@ public class StreamingJoinOperator extends
AbstractStreamOperator<BaseRow>
}
collector.collect(outRow);
}
-
- //
----------------------------------------------------------------------------------------
- // Utility Classes
- //
----------------------------------------------------------------------------------------
-
- private class JoinConditionWithNullFilters implements JoinCondition {
-
- final JoinCondition backingJoinCondition;
-
- private JoinConditionWithNullFilters(JoinCondition
backingJoinCondition) {
- this.backingJoinCondition = backingJoinCondition;
- }
-
- @Override
- public boolean apply(BaseRow left, BaseRow right) {
- if (!nullSafe) { // is not null safe, return false if
any null exists
- // key is always BinaryRow
- BinaryRow joinKey = (BinaryRow) getCurrentKey();
- if (filterAllNulls ? joinKey.anyNull() :
joinKey.anyNull(nullFilterKeys)) {
- // find null present, return false
directly
- return false;
- }
- }
- // test condition
- return backingJoinCondition.apply(left, right);
- }
- }
-
- /**
- * The {@link AssociatedRecords} is the records associated to the input
row. It is a wrapper
- * of {@code List<OuterRecord>} which provides two helpful methods
{@link #getRecords()} and
- * {@link #getOuterRecords()}. See the method Javadoc for more details.
- */
- private static final class AssociatedRecords {
- private final List<OuterRecord> records;
-
- private AssociatedRecords(List<OuterRecord> records) {
- checkNotNull(records);
- this.records = records;
- }
-
- public boolean isEmpty() {
- return records.isEmpty();
- }
-
- public int size() {
- return records.size();
- }
-
- /**
- * Gets the iterable of records. This is usually be called when
the
- * {@link AssociatedRecords} is from inner side.
- */
- public Iterable<BaseRow> getRecords() {
- return new RecordsIterable(records);
- }
-
- /**
- * Gets the iterable of {@link OuterRecord} which composites
record and numOfAssociations.
- * This is usually be called when the {@link AssociatedRecords}
is from outer side.
- */
- public Iterable<OuterRecord> getOuterRecords() {
- return records;
- }
-
- /**
- * Creates an {@link AssociatedRecords} which represents the
records associated to the
- * input row.
- */
- public static AssociatedRecords of(
- BaseRow input,
- boolean inputIsLeft,
- JoinRecordStateView otherSideStateView,
- JoinCondition condition) throws Exception {
- List<OuterRecord> associations = new ArrayList<>();
- if (otherSideStateView instanceof
OuterJoinRecordStateView) {
- OuterJoinRecordStateView outerStateView =
(OuterJoinRecordStateView) otherSideStateView;
- Iterable<Tuple2<BaseRow, Integer>> records =
outerStateView.getRecordsAndNumOfAssociations();
- for (Tuple2<BaseRow, Integer> record : records)
{
- boolean matched = inputIsLeft ?
condition.apply(input, record.f0) : condition.apply(record.f0, input);
- if (matched) {
- associations.add(new
OuterRecord(record.f0, record.f1));
- }
- }
- } else {
- Iterable<BaseRow> records =
otherSideStateView.getRecords();
- for (BaseRow record : records) {
- boolean matched = inputIsLeft ?
condition.apply(input, record) : condition.apply(record, input);
- if (matched) {
- // use -1 as the default number
of associations
- associations.add(new
OuterRecord(record, -1));
- }
- }
- }
- return new AssociatedRecords(associations);
- }
-
- }
-
- /**
- * A lazy Iterable which transform {@code List<OuterReocord>} to {@code
Iterable<BaseRow>}.
- */
- private static final class RecordsIterable implements
IterableIterator<BaseRow> {
- private final List<OuterRecord> records;
- private int index = 0;
-
- private RecordsIterable(List<OuterRecord> records) {
- this.records = records;
- }
-
- @Override
- public Iterator<BaseRow> iterator() {
- index = 0;
- return this;
- }
-
- @Override
- public boolean hasNext() {
- return index < records.size();
- }
-
- @Override
- public BaseRow next() {
- BaseRow row = records.get(index).record;
- index++;
- return row;
- }
- }
-
- /**
- * An {@link OuterRecord} is a composite of record and {@code
numOfAssociations}. The
- * {@code numOfAssociations} represents the number of associated
records in the other side.
- * It is used when the record is from outer side (e.g. left side in
LEFT OUTER JOIN).
- * When the {@code numOfAssociations} is ZERO, we need to send a null
padding row.
- * This is useful to avoid recompute the associated numbers every time.
- *
- * <p>When the record is from inner side (e.g. right side in LEFT OUTER
JOIN), the
- * {@code numOfAssociations} will always be {@code -1}.
- */
- private static final class OuterRecord {
- private final BaseRow record;
- private final int numOfAssociations;
-
- private OuterRecord(BaseRow record, int numOfAssociations) {
- this.record = record;
- this.numOfAssociations = numOfAssociations;
- }
- }
-
}
diff --git
a/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/join/stream/StreamingSemiAntiJoinOperator.java
b/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/join/stream/StreamingSemiAntiJoinOperator.java
new file mode 100644
index 0000000..6a8a278
--- /dev/null
+++
b/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/join/stream/StreamingSemiAntiJoinOperator.java
@@ -0,0 +1,199 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.flink.table.runtime.join.stream;
+
+import org.apache.flink.streaming.runtime.streamrecord.StreamRecord;
+import org.apache.flink.table.dataformat.BaseRow;
+import org.apache.flink.table.dataformat.util.BaseRowUtil;
+import org.apache.flink.table.generated.GeneratedJoinCondition;
+import org.apache.flink.table.runtime.join.stream.state.JoinInputSideSpec;
+import org.apache.flink.table.runtime.join.stream.state.JoinRecordStateView;
+import org.apache.flink.table.runtime.join.stream.state.JoinRecordStateViews;
+import
org.apache.flink.table.runtime.join.stream.state.OuterJoinRecordStateView;
+import
org.apache.flink.table.runtime.join.stream.state.OuterJoinRecordStateViews;
+import org.apache.flink.table.typeutils.BaseRowTypeInfo;
+
+/**
+ * Streaming unbounded Join operator which supports SEMI/ANTI JOIN.
+ */
+public class StreamingSemiAntiJoinOperator extends
AbstractStreamingJoinOperator {
+
+ private static final long serialVersionUID = -3135772379944924519L;
+
+ // true if it is anti join, otherwise is semi joinp
+ private final boolean isAntiJoin;
+
+ // left join state
+ private transient OuterJoinRecordStateView leftRecordStateView;
+ // right join state
+ private transient JoinRecordStateView rightRecordStateView;
+
+ public StreamingSemiAntiJoinOperator(
+ boolean isAntiJoin,
+ BaseRowTypeInfo leftType,
+ BaseRowTypeInfo rightType,
+ GeneratedJoinCondition generatedJoinCondition,
+ JoinInputSideSpec leftInputSideSpec,
+ JoinInputSideSpec rightInputSideSpec,
+ boolean[] filterNullKeys,
+ long minRetentionTime) {
+ super(leftType, rightType, generatedJoinCondition,
leftInputSideSpec, rightInputSideSpec, filterNullKeys, minRetentionTime);
+ this.isAntiJoin = isAntiJoin;
+ }
+
+ @Override
+ public void open() throws Exception {
+ super.open();
+
+ this.leftRecordStateView = OuterJoinRecordStateViews.create(
+ getRuntimeContext(),
+ LEFT_RECORDS_STATE_NAME,
+ leftInputSideSpec,
+ leftType,
+ minRetentionTime,
+ stateCleaningEnabled);
+
+ this.rightRecordStateView = JoinRecordStateViews.create(
+ getRuntimeContext(),
+ RIGHT_RECORDS_STATE_NAME,
+ rightInputSideSpec,
+ rightType,
+ minRetentionTime,
+ stateCleaningEnabled);
+ }
+
+ /**
+ * Process an input element and output incremental joined records,
retraction messages will
+ * be sent in some scenarios.
+ *
+ * <p>Following is the pseudo code to describe the core logic of this
method.
+ *
+ * <pre>
+ * if there is no matched rows on the other side
+ * if anti join, send input record
+ * if there are matched rows on the other side
+ * if semi join, send input record
+ * if the input record is accumulate, state.add(record, matched size)
+ * if the input record is retract, state.retract(record)
+ * </pre>
+ */
+ @Override
+ public void processElement1(StreamRecord<BaseRow> element) throws
Exception {
+ BaseRow input = element.getValue();
+ AssociatedRecords associatedRecords =
AssociatedRecords.of(input, true, rightRecordStateView, joinCondition);
+ if (associatedRecords.isEmpty()) {
+ if (isAntiJoin) {
+ collector.collect(input);
+ }
+ } else { // there are matched rows on the other side
+ if (!isAntiJoin) {
+ collector.collect(input);
+ }
+ }
+ if (BaseRowUtil.isAccumulateMsg(input)) {
+ leftRecordStateView.addRecord(input,
associatedRecords.size());
+ } else { // input is retract
+ input.setHeader(BaseRowUtil.ACCUMULATE_MSG);
+ leftRecordStateView.retractRecord(input);
+ }
+ }
+
+ /**
+ * Process an input element and output incremental joined records,
retraction messages will
+ * be sent in some scenarios.
+ *
+ * <p>Following is the pseudo code to describe the core logic of this
method.
+ *
+ * <pre>
+ * if input record is accumulate
+ * | state.add(record)
+ * | if there is no matched rows on the other side, skip
+ * | if there are matched rows on the other side
+ * | | if the matched num in the matched rows == 0
+ * | | if anti join, send -[other]s
+ * | | if semi join, send +[other]s
+ * | | if the matched num in the matched rows > 0, skip
+ * | | otherState.update(other, old+1)
+ * | endif
+ * endif
+ * if input record is retract
+ * | state.retract(record)
+ * | if there is no matched rows on the other side, skip
+ * | if there are matched rows on the other side
+ * | | if the matched num in the matched rows == 0, this should never
happen!
+ * | | if the matched num in the matched rows == 1
+ * | | if semi join, send -[other]
+ * | | if anti join, send +[other]
+ * | | if the matched num in the matched rows > 1, skip
+ * | | otherState.update(other, old-1)
+ * | endif
+ * endif
+ * </pre>
+ */
+ @Override
+ public void processElement2(StreamRecord<BaseRow> element) throws
Exception {
+ BaseRow input = element.getValue();
+ AssociatedRecords associatedRecords =
AssociatedRecords.of(input, false, leftRecordStateView, joinCondition);
+ if (BaseRowUtil.isAccumulateMsg(input)) {
+ rightRecordStateView.addRecord(input);
+ if (!associatedRecords.isEmpty()) {
+ // there are matched rows on the other side
+ for (OuterRecord outerRecord :
associatedRecords.getOuterRecords()) {
+ BaseRow other = outerRecord.record;
+ if (outerRecord.numOfAssociations == 0)
{
+ if (isAntiJoin) {
+ // send -[other]
+
other.setHeader(BaseRowUtil.RETRACT_MSG);
+
collector.collect(other);
+ // set header back to
ACCUMULATE_MSG, because we will update the other row to state
+
other.setHeader(BaseRowUtil.ACCUMULATE_MSG);
+ } else {
+ // send +[other]
+ // the header of other
is ACCUMULATE_MSG
+
collector.collect(other);
+ }
+ } // ignore when number > 0
+
leftRecordStateView.updateNumOfAssociations(other,
outerRecord.numOfAssociations + 1);
+ }
+ } // ignore when associated number == 0
+ } else { // retract input
+ input.setHeader(BaseRowUtil.ACCUMULATE_MSG);
+ rightRecordStateView.retractRecord(input);
+ if (!associatedRecords.isEmpty()) {
+ // there are matched rows on the other side
+ for (OuterRecord outerRecord :
associatedRecords.getOuterRecords()) {
+ BaseRow other = outerRecord.record;
+ if (outerRecord.numOfAssociations == 1)
{
+ if (!isAntiJoin) {
+ // send -[other]
+
other.setHeader(BaseRowUtil.RETRACT_MSG);
+
collector.collect(other);
+ // set header back to
ACCUMULATE_MSG, because we will update the other row to state
+
other.setHeader(BaseRowUtil.ACCUMULATE_MSG);
+ } else {
+ // send +[other]
+
collector.collect(other);
+ }
+ } // ignore when number > 0
+
leftRecordStateView.updateNumOfAssociations(other,
outerRecord.numOfAssociations - 1);
+ }
+ } // ignore when associated number == 0
+ }
+ }
+}
