Sh-Zh-7 commented on code in PR #14213: URL: https://github.com/apache/iotdb/pull/14213#discussion_r1915362497
########## iotdb-core/datanode/src/main/java/org/apache/iotdb/db/queryengine/execution/operator/process/window/function/aggregate/WindowAggregator.java: ########## @@ -0,0 +1,124 @@ +/* + * 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.iotdb.db.queryengine.execution.operator.process.window.function.aggregate; + +import org.apache.iotdb.db.queryengine.execution.operator.process.window.partition.Partition; +import org.apache.iotdb.db.queryengine.execution.operator.source.relational.aggregation.TableAccumulator; + +import com.google.common.primitives.Ints; +import org.apache.tsfile.block.column.Column; +import org.apache.tsfile.block.column.ColumnBuilder; +import org.apache.tsfile.enums.TSDataType; +import org.apache.tsfile.file.metadata.statistics.Statistics; +import org.apache.tsfile.read.common.block.column.RunLengthEncodedColumn; + +import java.util.List; + +import static java.util.Objects.requireNonNull; +import static org.apache.iotdb.db.queryengine.execution.operator.source.relational.TableScanOperator.TIME_COLUMN_TEMPLATE; + +public class WindowAggregator { + private final TableAccumulator accumulator; + private final TSDataType outputType; + private final int[] inputChannels; + + public WindowAggregator( + TableAccumulator accumulator, TSDataType outputType, List<Integer> inputChannels) { + this.accumulator = requireNonNull(accumulator, "accumulator is null"); + this.outputType = requireNonNull(outputType, "intermediateType is null"); + this.inputChannels = Ints.toArray(requireNonNull(inputChannels, "inputChannels is null")); + } + + public TSDataType getType() { + return outputType; + } + + public void addInput(Partition partition) { + List<Column[]> allColumns = partition.getAllColumns(); + for (Column[] columns : allColumns) { + addInput(columns); + } + } + + public void addInput(Column[] columns) { + Column[] arguments = new Column[inputChannels.length]; + for (int i = 0; i < inputChannels.length; i++) { + arguments[i] = columns[inputChannels[i]]; + } + + // Process count(*) + int count = columns[0].getPositionCount(); + if (arguments.length == 0) { + arguments = new Column[] {new RunLengthEncodedColumn(TIME_COLUMN_TEMPLATE, count)}; + } + + accumulator.addInput(arguments); + } + + public void removeInput(Partition partition) { + List<Column[]> allColumns = partition.getAllColumns(); + for (Column[] columns : allColumns) { + removeInput(columns); + } + } + + private void removeInput(Column[] columns) { + Column[] arguments = new Column[inputChannels.length]; + for (int i = 0; i < inputChannels.length; i++) { + arguments[i] = columns[inputChannels[i]]; + } + + // Process count(*) + int count = columns[0].getPositionCount(); + if (arguments.length == 0) { + arguments = new Column[] {new RunLengthEncodedColumn(TIME_COLUMN_TEMPLATE, count)}; + } + + accumulator.removeInput(arguments); + } + + public void evaluate(ColumnBuilder columnBuilder) { + accumulator.evaluateFinal(columnBuilder); + } + + public void processStatistics(Statistics[] statistics) { Review Comment: Theoretically yes, but it's really rare. A frame must not be smaller than a chunk/page/tsfile so that it can use its statistics. So I choose to remain this method. -- 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. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
