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...file/src/main/java/org/apache/tsfile/file/metadata/AbstractAlignedTimeSeriesMetadata.java
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| /* | ||
| * 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. | ||
| */ | ||
|
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| package org.apache.tsfile.file.metadata; | ||
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| import org.apache.tsfile.enums.TSDataType; | ||
| import org.apache.tsfile.file.metadata.statistics.Statistics; | ||
| import org.apache.tsfile.read.controller.IChunkMetadataLoader; | ||
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| import java.io.Serializable; | ||
| import java.util.ArrayList; | ||
| import java.util.Collections; | ||
| import java.util.List; | ||
| import java.util.Optional; | ||
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| public abstract class AbstractAlignedTimeSeriesMetadata implements ITimeSeriesMetadata { | ||
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| // TimeSeriesMetadata for time column | ||
| protected final TimeseriesMetadata timeseriesMetadata; | ||
| // TimeSeriesMetadata for all subSensors in the vector | ||
| protected final List<TimeseriesMetadata> valueTimeseriesMetadataList; | ||
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| protected IChunkMetadataLoader chunkMetadataLoader; | ||
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| AbstractAlignedTimeSeriesMetadata( | ||
| TimeseriesMetadata timeseriesMetadata, List<TimeseriesMetadata> valueTimeseriesMetadataList) { | ||
| this.timeseriesMetadata = timeseriesMetadata; | ||
| this.valueTimeseriesMetadataList = valueTimeseriesMetadataList; | ||
| } | ||
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| @Override | ||
| public Statistics<? extends Serializable> getTimeStatistics() { | ||
| return timeseriesMetadata.getStatistics(); | ||
| } | ||
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| @Override | ||
| public Optional<Statistics<? extends Serializable>> getMeasurementStatistics( | ||
| int measurementIndex) { | ||
| TimeseriesMetadata metadata = valueTimeseriesMetadataList.get(measurementIndex); | ||
| return Optional.ofNullable(metadata == null ? null : metadata.getStatistics()); | ||
| } | ||
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| @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); | ||
| } | ||
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| @Override | ||
| public int getMeasurementCount() { | ||
| return valueTimeseriesMetadataList.size(); | ||
| } | ||
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| @Override | ||
| public boolean isModified() { | ||
| return timeseriesMetadata.isModified(); | ||
| } | ||
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| @Override | ||
| public void setModified(boolean modified) { | ||
| timeseriesMetadata.setModified(modified); | ||
| for (TimeseriesMetadata subSensor : valueTimeseriesMetadataList) { | ||
| if (subSensor != null) { | ||
| subSensor.setModified(modified); | ||
| } | ||
| } | ||
| } | ||
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| @Override | ||
| public boolean isSeq() { | ||
| return timeseriesMetadata.isSeq(); | ||
| } | ||
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| @Override | ||
| public void setSeq(boolean seq) { | ||
| timeseriesMetadata.setSeq(seq); | ||
| for (TimeseriesMetadata subSensor : valueTimeseriesMetadataList) { | ||
| if (subSensor != null) { | ||
| subSensor.setSeq(seq); | ||
| } | ||
| } | ||
| } | ||
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| /** | ||
| * 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); | ||
| } | ||
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| 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()); | ||
| } | ||
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| return getAlignedChunkMetadata(timeChunkMetadata, valueChunkMetadataList); | ||
| } | ||
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| 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()); | ||
| } | ||
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| return getAlignedChunkMetadata(timeChunkMetadata, valueChunkMetadataList); | ||
| } | ||
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| /** 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); | ||
| } | ||
| constructAlignedChunkMetadata(res, timeChunkMetadata.get(i), chunkMetadataList, exits); | ||
| } | ||
| } | ||
| return res; | ||
| } | ||
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| abstract void constructAlignedChunkMetadata( | ||
| List<AlignedChunkMetadata> res, | ||
| IChunkMetadata timeChunkMetadata, | ||
| List<IChunkMetadata> chunkMetadataList, | ||
| boolean exits); | ||
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| @Override | ||
| public void setChunkMetadataLoader(IChunkMetadataLoader chunkMetadataLoader) { | ||
| this.chunkMetadataLoader = chunkMetadataLoader; | ||
| } | ||
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| @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; | ||
| } | ||
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| public List<TimeseriesMetadata> getValueTimeseriesMetadataList() { | ||
| return valueTimeseriesMetadataList; | ||
| } | ||
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| public TimeseriesMetadata getTimeseriesMetadata() { | ||
| return timeseriesMetadata; | ||
| } | ||
| } |
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