[GitHub] [flink] JingsongLi commented on a change in pull request #8792: [FLINK-12743][table-runtime-blink] Introduce unbounded streaming anti/semi join operator

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JingsongLi commented on a change in pull request #8792: [FLINK-12743][table-runtime-blink] Introduce unbounded streaming anti/semi join operator
URL: https://github.com/apache/flink/pull/8792#discussion_r296435653
 
 

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 File path: flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/join/stream/StreamingSemiAntiJoinOperator.java
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+/*
+ * 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);
+						} else {
+							// send +[other]
+							other.setHeader(BaseRowUtil.ACCUMULATE_MSG);
+						}
+						collector.collect(other);
+					} // ignore when number > 0
+					other.setHeader(BaseRowUtil.ACCUMULATE_MSG);
+					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);
+						} else {
+							// send +[other]
+							other.setHeader(BaseRowUtil.ACCUMULATE_MSG);
+						}
+						collector.collect(other);
+					} // ignore when number > 0
+					other.setHeader(BaseRowUtil.ACCUMULATE_MSG);
 
 Review comment:
   same question as above.

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