| /* |
| * 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.plan.planner.plan.parameter; |
| |
| import org.apache.iotdb.common.rpc.thrift.TAggregationType; |
| import org.apache.iotdb.db.queryengine.plan.expression.Expression; |
| import org.apache.iotdb.db.utils.constant.SqlConstant; |
| import org.apache.iotdb.tsfile.utils.ReadWriteIOUtils; |
| |
| import java.io.DataOutputStream; |
| import java.io.IOException; |
| import java.nio.ByteBuffer; |
| import java.util.ArrayList; |
| import java.util.Collections; |
| import java.util.HashMap; |
| import java.util.List; |
| import java.util.Map; |
| import java.util.Objects; |
| import java.util.stream.Collectors; |
| |
| public class CrossSeriesAggregationDescriptor extends AggregationDescriptor { |
| |
| private final List<Expression> outputExpressions; |
| |
| private List<List<Expression>> groupedInputExpressions; |
| |
| /** |
| * Records how many Expressions are in one input, used for calculation of inputColumnNames |
| * |
| * <p>.e.g input[count_if(root.db.d1.s1, 3), count_if(root.db.d2.s1, 3)], expressionNumOfOneInput |
| * = 2 |
| */ |
| private final int expressionNumOfOneInput; |
| |
| public CrossSeriesAggregationDescriptor( |
| String aggregationFuncName, |
| AggregationStep step, |
| List<Expression> inputExpressions, |
| int numberOfInput, |
| Map<String, String> inputAttributes, |
| List<Expression> outputExpressions) { |
| super(aggregationFuncName, step, inputExpressions, inputAttributes); |
| this.outputExpressions = outputExpressions; |
| this.expressionNumOfOneInput = inputExpressions.size() / numberOfInput; |
| initGroupedInputExpressions(); |
| } |
| |
| /** |
| * Please ensure only one Expression in one input when you use this construction, now only |
| * GroupByTagNode use it |
| */ |
| public CrossSeriesAggregationDescriptor( |
| String aggregationFuncName, |
| AggregationStep step, |
| List<Expression> inputExpressions, |
| Map<String, String> inputAttributes, |
| List<Expression> outputExpressions) { |
| super(aggregationFuncName, step, inputExpressions, inputAttributes); |
| this.outputExpressions = outputExpressions; |
| this.expressionNumOfOneInput = 1; |
| initGroupedInputExpressions(); |
| } |
| |
| public CrossSeriesAggregationDescriptor( |
| AggregationDescriptor aggregationDescriptor, |
| List<Expression> outputExpressions, |
| int expressionNumOfOneInput) { |
| super(aggregationDescriptor); |
| this.outputExpressions = outputExpressions; |
| this.expressionNumOfOneInput = expressionNumOfOneInput; |
| initGroupedInputExpressions(); |
| } |
| |
| public List<Expression> getOutputExpressions() { |
| return outputExpressions; |
| } |
| |
| /** |
| * Generates the parameter part of the output column name. |
| * |
| * <p>Example: |
| * |
| * <p>Full output column name -> count_if(root.*.*.s1, 3) |
| * |
| * <p>The parameter part -> root.*.*.s1, 3 |
| */ |
| @Override |
| public String getParametersString() { |
| if (parametersString == null) { |
| StringBuilder builder; |
| if (TAggregationType.COUNT_IF.equals(aggregationType)) { |
| builder = new StringBuilder(outputExpressions.get(0).getExpressionString()); |
| for (int i = 1; i < expressionNumOfOneInput; i++) { |
| builder.append(", ").append(inputExpressions.get(i).getExpressionString()); |
| } |
| appendAttributes(builder); |
| } else { |
| builder = getOutputExpressionsAsBuilder(); |
| } |
| parametersString = builder.toString(); |
| } |
| return parametersString; |
| } |
| |
| @Override |
| public List<List<String>> getInputColumnNamesList() { |
| if (step.isInputRaw()) { |
| List<String> inputColumnNames = |
| SqlConstant.COUNT_IF.equalsIgnoreCase(aggregationFuncName) |
| ? Collections.singletonList(inputExpressions.get(0).getExpressionString()) |
| : inputExpressions.stream() |
| .map(Expression::getExpressionString) |
| .collect(Collectors.toList()); |
| return Collections.singletonList(inputColumnNames); |
| } |
| |
| List<List<String>> inputColumnNamesList = new ArrayList<>(); |
| groupedInputExpressions.forEach(list -> inputColumnNamesList.add(getInputColumnNames(list))); |
| return inputColumnNamesList; |
| } |
| |
| @Override |
| public List<String> getInputExpressionsAsStringList() { |
| List<String> res = new ArrayList<>(); |
| for (int i = 0; i < inputExpressions.size(); i += expressionNumOfOneInput) { |
| List<Expression> expressions = new ArrayList<>(); |
| for (int j = 0; j < expressionNumOfOneInput; j++) { |
| expressions.add(inputExpressions.get(i + j)); |
| } |
| res.add(getInputString(expressions)); |
| } |
| return res; |
| } |
| |
| /** |
| * For an aggregate function that takes two inputs, the inputExpressions may be like |
| * [root.sg.d1.s1, root.sg.d1.s2, root.sg.d2.s1, root.sg.d2.s2]. The inputExpressions is a |
| * one-dimensional List, but it is split by expressionNumOfOneInput. The split result is stored in |
| * groupedInputExpressions So the returned map of this method is : <"root.sg.d1.s1, |
| * root.sg.d1.s2", [root.sg.d1.s1, root.sg.d1.s2]> <"root.sg.d2.s1, root.sg.d2.s2", |
| * [root.sg.d2.s1, root.sg.d2.s2]> |
| */ |
| public Map<String, List<Expression>> getGroupedInputStringToExpressionsMap() { |
| Map<String, List<Expression>> map = new HashMap<>(); |
| groupedInputExpressions.forEach(list -> map.put(getInputString(list), list)); |
| return map; |
| } |
| |
| public List<String> getGroupedInputExpressionStrings() { |
| return groupedInputExpressions.stream().map(this::getInputString).collect(Collectors.toList()); |
| } |
| |
| public StringBuilder getOutputExpressionsAsBuilder() { |
| StringBuilder builder = new StringBuilder(outputExpressions.get(0).getExpressionString()); |
| for (int i = 1; i < outputExpressions.size(); i++) { |
| builder.append(", ").append(outputExpressions.get(i).getExpressionString()); |
| } |
| appendAttributes(builder); |
| return builder; |
| } |
| |
| private void initGroupedInputExpressions() { |
| this.groupedInputExpressions = new ArrayList<>(); |
| for (int i = 0; i < inputExpressions.size(); i += expressionNumOfOneInput) { |
| List<Expression> expressions = new ArrayList<>(expressionNumOfOneInput); |
| for (int j = 0; j < expressionNumOfOneInput; j++) { |
| expressions.add(inputExpressions.get(i + j)); |
| } |
| this.groupedInputExpressions.add(expressions); |
| } |
| } |
| |
| private List<String> getInputColumnNames(List<Expression> expressions) { |
| List<String> inputAggregationNames = getActualAggregationNames(step.isInputPartial()); |
| List<String> inputColumnNames = new ArrayList<>(); |
| for (String funcName : inputAggregationNames) { |
| inputColumnNames.add(funcName + "(" + getInputString(expressions) + ")"); |
| } |
| return inputColumnNames; |
| } |
| |
| @Override |
| public void setInputExpressions(List<Expression> inputExpressions) { |
| this.inputExpressions = inputExpressions; |
| initGroupedInputExpressions(); |
| } |
| |
| @Override |
| public CrossSeriesAggregationDescriptor deepClone() { |
| return new CrossSeriesAggregationDescriptor(this, outputExpressions, expressionNumOfOneInput); |
| } |
| |
| @Override |
| public void serialize(ByteBuffer byteBuffer) { |
| super.serialize(byteBuffer); |
| ReadWriteIOUtils.write(outputExpressions.size(), byteBuffer); |
| outputExpressions.forEach(x -> Expression.serialize(x, byteBuffer)); |
| ReadWriteIOUtils.write(expressionNumOfOneInput, byteBuffer); |
| } |
| |
| @Override |
| public void serialize(DataOutputStream stream) throws IOException { |
| super.serialize(stream); |
| ReadWriteIOUtils.write(outputExpressions.size(), stream); |
| for (Expression x : outputExpressions) { |
| Expression.serialize(x, stream); |
| } |
| ReadWriteIOUtils.write(expressionNumOfOneInput, stream); |
| } |
| |
| public static CrossSeriesAggregationDescriptor deserialize(ByteBuffer byteBuffer) { |
| AggregationDescriptor aggregationDescriptor = AggregationDescriptor.deserialize(byteBuffer); |
| int size = ReadWriteIOUtils.readInt(byteBuffer); |
| List<Expression> outputExpressions = new ArrayList<>(size); |
| for (int i = 0; i < size; i++) { |
| outputExpressions.add(Expression.deserialize(byteBuffer)); |
| } |
| int expressionNumOfOneInput = ReadWriteIOUtils.readInt(byteBuffer); |
| return new CrossSeriesAggregationDescriptor( |
| aggregationDescriptor, outputExpressions, expressionNumOfOneInput); |
| } |
| |
| @Override |
| public boolean equals(Object o) { |
| if (this == o) { |
| return true; |
| } |
| if (o == null || getClass() != o.getClass()) { |
| return false; |
| } |
| if (!super.equals(o)) { |
| return false; |
| } |
| CrossSeriesAggregationDescriptor that = (CrossSeriesAggregationDescriptor) o; |
| return Objects.equals(outputExpressions, that.outputExpressions); |
| } |
| |
| @Override |
| public int hashCode() { |
| return Objects.hash(super.hashCode(), outputExpressions); |
| } |
| |
| public int getExpressionNumOfOneInput() { |
| return expressionNumOfOneInput; |
| } |
| } |