| /* |
| * 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.analyze; |
| |
| import org.apache.iotdb.common.rpc.thrift.TAggregationType; |
| import org.apache.iotdb.commons.exception.IllegalPathException; |
| import org.apache.iotdb.commons.path.MeasurementPath; |
| import org.apache.iotdb.commons.path.PartialPath; |
| import org.apache.iotdb.db.queryengine.plan.expression.leaf.TimeSeriesOperand; |
| import org.apache.iotdb.db.queryengine.plan.planner.plan.parameter.AggregationDescriptor; |
| import org.apache.iotdb.db.queryengine.plan.planner.plan.parameter.AggregationStep; |
| import org.apache.iotdb.db.queryengine.plan.planner.plan.parameter.CrossSeriesAggregationDescriptor; |
| |
| import org.apache.tsfile.enums.TSDataType; |
| import org.junit.Assert; |
| import org.junit.Test; |
| |
| import java.util.ArrayList; |
| import java.util.Arrays; |
| import java.util.Collections; |
| import java.util.HashMap; |
| import java.util.List; |
| import java.util.Map; |
| import java.util.stream.Collectors; |
| |
| public class AggregationDescriptorTest { |
| |
| private static final List<AggregationDescriptor> aggregationDescriptorList = new ArrayList<>(); |
| private static final List<CrossSeriesAggregationDescriptor> groupByLevelDescriptorList = |
| new ArrayList<>(); |
| |
| public static final Map<String, PartialPath> pathMap = new HashMap<>(); |
| |
| static { |
| try { |
| pathMap.put("root.sg.d1.s1", new MeasurementPath("root.sg.d1.s1", TSDataType.INT32)); |
| pathMap.put("root.sg.d2.s1", new MeasurementPath("root.sg.d2.s1", TSDataType.INT32)); |
| pathMap.put("root.sg.*.s1", new MeasurementPath("root.sg.*.s1", TSDataType.INT32)); |
| } catch (IllegalPathException e) { |
| e.printStackTrace(); |
| } |
| } |
| |
| static { |
| aggregationDescriptorList.add( |
| new AggregationDescriptor( |
| TAggregationType.AVG.name().toLowerCase(), |
| AggregationStep.SINGLE, |
| Collections.singletonList(new TimeSeriesOperand(pathMap.get("root.sg.d1.s1"))))); |
| aggregationDescriptorList.add( |
| new AggregationDescriptor( |
| TAggregationType.SUM.name().toLowerCase(), |
| AggregationStep.PARTIAL, |
| Collections.singletonList(new TimeSeriesOperand(pathMap.get("root.sg.d1.s1"))))); |
| aggregationDescriptorList.add( |
| new AggregationDescriptor( |
| TAggregationType.AVG.name().toLowerCase(), |
| AggregationStep.INTERMEDIATE, |
| Collections.singletonList(new TimeSeriesOperand(pathMap.get("root.sg.d1.s1"))))); |
| aggregationDescriptorList.add( |
| new AggregationDescriptor( |
| TAggregationType.LAST_VALUE.name().toLowerCase(), |
| AggregationStep.INTERMEDIATE, |
| Collections.singletonList(new TimeSeriesOperand(pathMap.get("root.sg.d1.s1"))))); |
| aggregationDescriptorList.add( |
| new AggregationDescriptor( |
| TAggregationType.MAX_VALUE.name().toLowerCase(), |
| AggregationStep.FINAL, |
| Collections.singletonList(new TimeSeriesOperand(pathMap.get("root.sg.d1.s1"))))); |
| aggregationDescriptorList.add( |
| new AggregationDescriptor( |
| TAggregationType.COUNT.name().toLowerCase(), |
| AggregationStep.FINAL, |
| Collections.singletonList(new TimeSeriesOperand(pathMap.get("root.sg.d1.s1"))))); |
| |
| groupByLevelDescriptorList.add( |
| new CrossSeriesAggregationDescriptor( |
| TAggregationType.COUNT.name().toLowerCase(), |
| AggregationStep.FINAL, |
| Arrays.asList( |
| new TimeSeriesOperand(pathMap.get("root.sg.d2.s1")), |
| new TimeSeriesOperand(pathMap.get("root.sg.d1.s1"))), |
| 2, |
| Collections.emptyMap(), |
| Collections.singletonList(new TimeSeriesOperand(pathMap.get("root.sg.*.s1"))))); |
| groupByLevelDescriptorList.add( |
| new CrossSeriesAggregationDescriptor( |
| TAggregationType.AVG.name().toLowerCase(), |
| AggregationStep.FINAL, |
| Arrays.asList( |
| new TimeSeriesOperand(pathMap.get("root.sg.d1.s1")), |
| new TimeSeriesOperand(pathMap.get("root.sg.d2.s1"))), |
| 2, |
| Collections.emptyMap(), |
| Collections.singletonList(new TimeSeriesOperand(pathMap.get("root.sg.*.s1"))))); |
| groupByLevelDescriptorList.add( |
| new CrossSeriesAggregationDescriptor( |
| TAggregationType.COUNT.name().toLowerCase(), |
| AggregationStep.INTERMEDIATE, |
| Arrays.asList( |
| new TimeSeriesOperand(pathMap.get("root.sg.d2.s1")), |
| new TimeSeriesOperand(pathMap.get("root.sg.d1.s1"))), |
| 2, |
| Collections.emptyMap(), |
| Collections.singletonList(new TimeSeriesOperand(pathMap.get("root.sg.*.s1"))))); |
| groupByLevelDescriptorList.add( |
| new CrossSeriesAggregationDescriptor( |
| TAggregationType.AVG.name().toLowerCase(), |
| AggregationStep.INTERMEDIATE, |
| Arrays.asList( |
| new TimeSeriesOperand(pathMap.get("root.sg.d1.s1")), |
| new TimeSeriesOperand(pathMap.get("root.sg.d2.s1"))), |
| 2, |
| Collections.emptyMap(), |
| Collections.singletonList(new TimeSeriesOperand(pathMap.get("root.sg.*.s1"))))); |
| } |
| |
| @Test |
| public void testOutputColumnNames() { |
| List<String> expectedOutputColumnNames = |
| Arrays.asList( |
| "avg(root.sg.d1.s1)", |
| "sum(root.sg.d1.s1)", |
| "count(root.sg.d1.s1)", |
| "last_value(root.sg.d1.s1)", |
| "max_time(root.sg.d1.s1)", |
| "max_value(root.sg.d1.s1)"); |
| Assert.assertEquals( |
| expectedOutputColumnNames, |
| aggregationDescriptorList.stream() |
| .map(AggregationDescriptor::getOutputColumnNames) |
| .flatMap(List::stream) |
| .distinct() |
| .collect(Collectors.toList())); |
| } |
| |
| @Test |
| public void testInputColumnNames() { |
| List<List<List<String>>> expectedInputColumnNames = |
| Arrays.asList( |
| Collections.singletonList(Collections.singletonList("root.sg.d1.s1")), |
| Collections.singletonList(Collections.singletonList("root.sg.d1.s1")), |
| Collections.singletonList(Arrays.asList("count(root.sg.d1.s1)", "sum(root.sg.d1.s1)")), |
| Collections.singletonList( |
| Arrays.asList("last_value(root.sg.d1.s1)", "max_time(root.sg.d1.s1)")), |
| Collections.singletonList(Collections.singletonList("max_value(root.sg.d1.s1)")), |
| Collections.singletonList(Collections.singletonList("count(root.sg.d1.s1)"))); |
| Assert.assertEquals( |
| expectedInputColumnNames, |
| aggregationDescriptorList.stream() |
| .map(AggregationDescriptor::getInputColumnNamesList) |
| .collect(Collectors.toList())); |
| } |
| |
| @Test |
| public void testOutputColumnNamesInGroupByLevel() { |
| List<String> expectedOutputColumnNames = |
| Arrays.asList("count(root.sg.*.s1)", "avg(root.sg.*.s1)", "sum(root.sg.*.s1)"); |
| Assert.assertEquals( |
| expectedOutputColumnNames, |
| groupByLevelDescriptorList.stream() |
| .map(CrossSeriesAggregationDescriptor::getOutputColumnNames) |
| .flatMap(List::stream) |
| .distinct() |
| .collect(Collectors.toList())); |
| } |
| |
| @Test |
| public void testInputColumnNamesInGroupByLevel() { |
| List<List<List<String>>> expectedInputColumnNames = |
| Arrays.asList( |
| Arrays.asList( |
| Collections.singletonList("count(root.sg.d2.s1)"), |
| Collections.singletonList("count(root.sg.d1.s1)")), |
| Arrays.asList( |
| Arrays.asList("count(root.sg.d1.s1)", "sum(root.sg.d1.s1)"), |
| Arrays.asList("count(root.sg.d2.s1)", "sum(root.sg.d2.s1)")), |
| Arrays.asList( |
| Collections.singletonList("count(root.sg.d2.s1)"), |
| Collections.singletonList("count(root.sg.d1.s1)")), |
| Arrays.asList( |
| Arrays.asList("count(root.sg.d1.s1)", "sum(root.sg.d1.s1)"), |
| Arrays.asList("count(root.sg.d2.s1)", "sum(root.sg.d2.s1)"))); |
| Assert.assertEquals( |
| expectedInputColumnNames, |
| groupByLevelDescriptorList.stream() |
| .map(CrossSeriesAggregationDescriptor::getInputColumnNamesList) |
| .collect(Collectors.toList())); |
| } |
| } |
