| /* |
| * 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.tsfile.file.metadata; |
| |
| import org.apache.iotdb.tsfile.file.metadata.enums.TSDataType; |
| import org.apache.iotdb.tsfile.file.metadata.statistics.Statistics; |
| import org.apache.iotdb.tsfile.read.controller.IChunkMetadataLoader; |
| |
| import java.io.Serializable; |
| import java.util.ArrayList; |
| import java.util.Collections; |
| import java.util.List; |
| import java.util.Optional; |
| |
| public class AlignedTimeSeriesMetadata implements ITimeSeriesMetadata { |
| |
| // TimeSeriesMetadata for time column |
| private final TimeseriesMetadata timeseriesMetadata; |
| // TimeSeriesMetadata for all subSensors in the vector |
| private final List<TimeseriesMetadata> valueTimeseriesMetadataList; |
| |
| private IChunkMetadataLoader chunkMetadataLoader; |
| |
| public AlignedTimeSeriesMetadata( |
| TimeseriesMetadata timeseriesMetadata, List<TimeseriesMetadata> valueTimeseriesMetadataList) { |
| this.timeseriesMetadata = timeseriesMetadata; |
| this.valueTimeseriesMetadataList = valueTimeseriesMetadataList; |
| } |
| |
| /** |
| * If the vector contains only one sub sensor, just return the sub sensor's Statistics Otherwise, |
| * return the Statistics of the time column. |
| */ |
| @Override |
| public Statistics getStatistics() { |
| return valueTimeseriesMetadataList.size() == 1 && valueTimeseriesMetadataList.get(0) != null |
| ? valueTimeseriesMetadataList.get(0).getStatistics() |
| : timeseriesMetadata.getStatistics(); |
| } |
| |
| @Override |
| public Statistics<? extends Serializable> getTimeStatistics() { |
| return timeseriesMetadata.getStatistics(); |
| } |
| |
| @Override |
| public Optional<Statistics<? extends Serializable>> getMeasurementStatistics( |
| int measurementIndex) { |
| TimeseriesMetadata metadata = valueTimeseriesMetadataList.get(measurementIndex); |
| return Optional.ofNullable(metadata == null ? null : metadata.getStatistics()); |
| } |
| |
| @Override |
| public boolean hasNullValue(int measurementIndex) { |
| long rowCount = getTimeStatistics().getCount(); |
| Optional<Statistics<? extends Serializable>> statistics = |
| getMeasurementStatistics(measurementIndex); |
| return statistics.map(stat -> stat.hasNullValue(rowCount)).orElse(true); |
| } |
| |
| @Override |
| public int getMeasurementCount() { |
| return valueTimeseriesMetadataList.size(); |
| } |
| |
| @Override |
| public boolean timeAllSelected() { |
| for (int index = 0; index < getMeasurementCount(); index++) { |
| if (!hasNullValue(index)) { |
| // When there is any value page point number that is the same as the time page, |
| // it means that all timestamps in time page will be selected. |
| return true; |
| } |
| } |
| return false; |
| } |
| |
| @Override |
| public boolean isModified() { |
| return timeseriesMetadata.isModified(); |
| } |
| |
| @Override |
| public void setModified(boolean modified) { |
| timeseriesMetadata.setModified(modified); |
| for (TimeseriesMetadata subSensor : valueTimeseriesMetadataList) { |
| if (subSensor != null) { |
| subSensor.setModified(modified); |
| } |
| } |
| } |
| |
| @Override |
| public boolean isSeq() { |
| return timeseriesMetadata.isSeq(); |
| } |
| |
| @Override |
| public void setSeq(boolean seq) { |
| timeseriesMetadata.setSeq(seq); |
| for (TimeseriesMetadata subSensor : valueTimeseriesMetadataList) { |
| if (subSensor != null) { |
| subSensor.setSeq(seq); |
| } |
| } |
| } |
| |
| /** |
| * If the chunkMetadataLoader is MemChunkMetadataLoader, the VectorChunkMetadata is already |
| * assembled while constructing the in-memory TsFileResource, so we just return the assembled |
| * VectorChunkMetadata list. |
| * |
| * <p>Otherwise, we need to assemble the ChunkMetadata of time column and the ChunkMetadata of all |
| * the subSensors to generate the VectorChunkMetadata |
| */ |
| @Override |
| public List<IChunkMetadata> loadChunkMetadataList() { |
| return chunkMetadataLoader.loadChunkMetadataList(this); |
| } |
| |
| public List<AlignedChunkMetadata> getCopiedChunkMetadataList() { |
| List<IChunkMetadata> timeChunkMetadata = timeseriesMetadata.getCopiedChunkMetadataList(); |
| List<List<IChunkMetadata>> valueChunkMetadataList = new ArrayList<>(); |
| for (TimeseriesMetadata metadata : valueTimeseriesMetadataList) { |
| valueChunkMetadataList.add(metadata == null ? null : metadata.getCopiedChunkMetadataList()); |
| } |
| |
| return getAlignedChunkMetadata(timeChunkMetadata, valueChunkMetadataList); |
| } |
| |
| public List<AlignedChunkMetadata> getChunkMetadataList() { |
| List<IChunkMetadata> timeChunkMetadata = timeseriesMetadata.getChunkMetadataList(); |
| List<List<IChunkMetadata>> valueChunkMetadataList = new ArrayList<>(); |
| for (TimeseriesMetadata metadata : valueTimeseriesMetadataList) { |
| valueChunkMetadataList.add(metadata == null ? null : metadata.getChunkMetadataList()); |
| } |
| |
| return getAlignedChunkMetadata(timeChunkMetadata, valueChunkMetadataList); |
| } |
| |
| /** Notice: if all the value chunks is empty chunk, then return empty list. */ |
| private List<AlignedChunkMetadata> getAlignedChunkMetadata( |
| List<IChunkMetadata> timeChunkMetadata, List<List<IChunkMetadata>> valueChunkMetadataList) { |
| List<AlignedChunkMetadata> res = new ArrayList<>(); |
| for (int i = 0; i < timeChunkMetadata.size(); i++) { |
| // only need time column |
| if (valueTimeseriesMetadataList.isEmpty()) { |
| res.add(new AlignedChunkMetadata(timeChunkMetadata.get(i), Collections.emptyList())); |
| } else { |
| List<IChunkMetadata> chunkMetadataList = new ArrayList<>(); |
| // only at least one sensor exits, we add the AlignedChunkMetadata to the list |
| boolean exits = false; |
| for (List<IChunkMetadata> chunkMetadata : valueChunkMetadataList) { |
| IChunkMetadata v = |
| chunkMetadata == null |
| || chunkMetadata.get(i).getStatistics().getCount() == 0 // empty chunk |
| ? null |
| : chunkMetadata.get(i); |
| exits = (exits || v != null); |
| chunkMetadataList.add(v); |
| } |
| if (exits) { |
| res.add(new AlignedChunkMetadata(timeChunkMetadata.get(i), chunkMetadataList)); |
| } |
| } |
| } |
| return res; |
| } |
| |
| @Override |
| public void setChunkMetadataLoader(IChunkMetadataLoader chunkMetadataLoader) { |
| this.chunkMetadataLoader = chunkMetadataLoader; |
| } |
| |
| @Override |
| public boolean typeMatch(List<TSDataType> dataTypes) { |
| if (valueTimeseriesMetadataList != null) { |
| int notMatchCount = 0; |
| for (int i = 0, size = dataTypes.size(); i < size; i++) { |
| TimeseriesMetadata valueTimeSeriesMetadata = valueTimeseriesMetadataList.get(i); |
| if (valueTimeSeriesMetadata != null |
| && !valueTimeSeriesMetadata.typeMatch(dataTypes.get(i))) { |
| valueTimeseriesMetadataList.set(i, null); |
| notMatchCount++; |
| } |
| } |
| return notMatchCount != dataTypes.size(); |
| } |
| return true; |
| } |
| |
| public List<TimeseriesMetadata> getValueTimeseriesMetadataList() { |
| return valueTimeseriesMetadataList; |
| } |
| |
| public TimeseriesMetadata getTimeseriesMetadata() { |
| return timeseriesMetadata; |
| } |
| } |