wuchong 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_r296441333
########## File path: flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/join/stream/StreamingSemiAntiJoinOperator.java ########## @@ -0,0 +1,196 @@ +/* + * 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); Review comment: Header of `other` may be set to `RETRACT` before, so we have to set it back when storing it in state. All rows stored in state are all accumulate BaseRows. I did a minor adjust for this to move this line close to setting retract header, and add a comment, to make it more readable. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
