JingsongLi commented on a change in pull request #8901: [FLINK-13003][table-planner-blink] Support Temporal TableFunction Join in blink planner URL: https://github.com/apache/flink/pull/8901#discussion_r298442640
########## File path: flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/join/temporal/TemporalRowTimeJoinOperator.java ########## @@ -0,0 +1,376 @@ +/* + * 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.temporal; + +import org.apache.flink.api.common.functions.util.FunctionUtils; +import org.apache.flink.api.common.state.MapState; +import org.apache.flink.api.common.state.MapStateDescriptor; +import org.apache.flink.api.common.state.ValueState; +import org.apache.flink.api.common.state.ValueStateDescriptor; +import org.apache.flink.api.common.typeinfo.Types; +import org.apache.flink.configuration.Configuration; +import org.apache.flink.runtime.state.VoidNamespace; +import org.apache.flink.runtime.state.VoidNamespaceSerializer; +import org.apache.flink.streaming.api.operators.AbstractStreamOperator; +import org.apache.flink.streaming.api.operators.InternalTimer; +import org.apache.flink.streaming.api.operators.InternalTimerService; +import org.apache.flink.streaming.api.operators.TimestampedCollector; +import org.apache.flink.streaming.api.operators.Triggerable; +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.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.typeutils.BaseRowTypeInfo; + +import java.io.IOException; +import java.io.Serializable; +import java.util.ArrayList; +import java.util.Comparator; +import java.util.Iterator; +import java.util.List; +import java.util.ListIterator; +import java.util.Map; +import java.util.Optional; + +/** + * This operator works by keeping on the state collection of probe and build records to process + * on next watermark. The idea is that between watermarks we are collecting those elements + * and once we are sure that there will be no updates we emit the correct result and clean up the + * state. + * + * <p>Cleaning up the state drops all of the "old" values from the probe side, where "old" is defined + * as older then the current watermark. Build side is also cleaned up in the similar fashion, + * however we always keep at least one record - the latest one - even if it's past the last + * watermark. + * + * <p>One more trick is how the emitting results and cleaning up is triggered. It is achieved + * by registering timers for the keys. We could register a timer for every probe and build + * side element's event time (when watermark exceeds this timer, that's when we are emitting and/or + * cleaning up the state). However this would cause huge number of registered timers. For example + * with following evenTimes of probe records accumulated: {1, 2, 5, 8, 9}, if we + * had received Watermark(10), it would trigger 5 separate timers for the same key. To avoid that + * we always keep only one single registered timer for any given key, registered for the minimal + * value. Upon triggering it, we process all records with event times older then or equal to + * currentWatermark. + */ +public class TemporalRowTimeJoinOperator + extends AbstractStreamOperator<BaseRow> + implements TwoInputStreamOperator<BaseRow, BaseRow, BaseRow>, Triggerable<Object, VoidNamespace> { + + private static final long serialVersionUID = 6642514795175288193L; + + private static final String NEXT_LEFT_INDEX_STATE_NAME = "next-index"; + private static final String LEFT_STATE_NAME = "left"; + private static final String RIGHT_STATE_NAME = "right"; + private static final String REGISTERED_TIMER_STATE_NAME = "timer"; + private static final String TIMERS_STATE_NAME = "timers"; + + private final BaseRowTypeInfo leftType; + private final BaseRowTypeInfo rightType; + private final GeneratedJoinCondition generatedJoinCondition; + private final int leftTimeAttribute; + private final int rightTimeAttribute; + + private final RowtimeComparator rightRowtimeComparator; + + /** + * Incremental index generator for {@link #leftState}'s keys. + */ + private transient ValueState<Long> nextLeftIndex; + + /** + * Mapping from artificial row index (generated by `nextLeftIndex`) into the left side `Row`. + * We can not use List to accumulate Rows, because we need efficient deletes of the oldest rows. + * + * <p>TODO: this could be OrderedMultiMap[Jlong, Row] indexed by row's timestamp, to avoid + * full map traversals (if we have lots of rows on the state that exceed `currentWatermark`). + */ + private transient MapState<Long, BaseRow> leftState; + + /** + * Mapping from timestamp to right side `Row`. + * + * <p>TODO: having `rightState` as an OrderedMapState would allow us to avoid sorting cost + * once per watermark + */ + private transient MapState<Long, BaseRow> rightState; + + // Long for correct handling of default null + private transient ValueState<Long> registeredTimer; + private transient TimestampedCollector<BaseRow> collector; + private transient InternalTimerService<VoidNamespace> timerService; + + private transient JoinCondition joinCondition; + private transient JoinedRow outRow; + + public TemporalRowTimeJoinOperator( + BaseRowTypeInfo leftType, + BaseRowTypeInfo rightType, + GeneratedJoinCondition generatedJoinCondition, + int leftTimeAttribute, + int rightTimeAttribute) { + this.leftType = leftType; + this.rightType = rightType; + this.generatedJoinCondition = generatedJoinCondition; + this.leftTimeAttribute = leftTimeAttribute; + this.rightTimeAttribute = rightTimeAttribute; + this.rightRowtimeComparator = new RowtimeComparator(rightTimeAttribute); + } + + @Override + public void open() throws Exception { + joinCondition = generatedJoinCondition.newInstance(getRuntimeContext().getUserCodeClassLoader()); + FunctionUtils.setFunctionRuntimeContext(joinCondition, getRuntimeContext()); Review comment: `joinCondition` is a `RichFunction`, so you don't need invoke `FunctionUtils`. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. 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