| /* |
| * 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.mpp.plan.analyze; |
| |
| import org.apache.iotdb.common.rpc.thrift.TSStatus; |
| import org.apache.iotdb.commons.exception.IoTDBException; |
| import org.apache.iotdb.commons.exception.MetadataException; |
| import org.apache.iotdb.commons.path.MeasurementPath; |
| import org.apache.iotdb.commons.path.PartialPath; |
| import org.apache.iotdb.commons.path.PathPatternTree; |
| import org.apache.iotdb.db.conf.IoTDBConfig; |
| import org.apache.iotdb.db.conf.IoTDBDescriptor; |
| import org.apache.iotdb.db.metadata.cache.DataNodeSchemaCache; |
| import org.apache.iotdb.db.metadata.template.ClusterTemplateManager; |
| import org.apache.iotdb.db.metadata.template.ITemplateManager; |
| import org.apache.iotdb.db.metadata.template.Template; |
| import org.apache.iotdb.db.mpp.common.schematree.ClusterSchemaTree; |
| import org.apache.iotdb.db.mpp.common.schematree.DeviceSchemaInfo; |
| import org.apache.iotdb.db.mpp.common.schematree.ISchemaTree; |
| import org.apache.iotdb.db.mpp.plan.Coordinator; |
| import org.apache.iotdb.db.mpp.plan.execution.ExecutionResult; |
| import org.apache.iotdb.db.mpp.plan.statement.Statement; |
| import org.apache.iotdb.db.mpp.plan.statement.internal.InternalCreateTimeSeriesStatement; |
| import org.apache.iotdb.db.mpp.plan.statement.internal.SchemaFetchStatement; |
| import org.apache.iotdb.db.mpp.plan.statement.metadata.template.ActivateTemplateStatement; |
| import org.apache.iotdb.db.query.control.SessionManager; |
| import org.apache.iotdb.db.utils.SetThreadName; |
| import org.apache.iotdb.rpc.TSStatusCode; |
| import org.apache.iotdb.tsfile.common.conf.TSFileDescriptor; |
| import org.apache.iotdb.tsfile.file.metadata.enums.CompressionType; |
| import org.apache.iotdb.tsfile.file.metadata.enums.TSDataType; |
| import org.apache.iotdb.tsfile.file.metadata.enums.TSEncoding; |
| import org.apache.iotdb.tsfile.read.common.block.TsBlock; |
| import org.apache.iotdb.tsfile.read.common.block.column.Column; |
| import org.apache.iotdb.tsfile.utils.Binary; |
| import org.apache.iotdb.tsfile.utils.Pair; |
| import org.apache.iotdb.tsfile.utils.ReadWriteIOUtils; |
| import org.apache.iotdb.tsfile.write.schema.IMeasurementSchema; |
| import org.apache.iotdb.tsfile.write.schema.MeasurementSchema; |
| |
| import java.io.ByteArrayInputStream; |
| import java.io.IOException; |
| import java.io.InputStream; |
| 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.Optional; |
| import java.util.Set; |
| import java.util.function.Function; |
| import java.util.stream.Collectors; |
| import java.util.stream.IntStream; |
| |
| import static org.apache.iotdb.db.utils.EncodingInferenceUtils.getDefaultEncoding; |
| |
| public class ClusterSchemaFetcher implements ISchemaFetcher { |
| |
| private final IoTDBConfig config = IoTDBDescriptor.getInstance().getConfig(); |
| |
| private final Coordinator coordinator = Coordinator.getInstance(); |
| private final DataNodeSchemaCache schemaCache = DataNodeSchemaCache.getInstance(); |
| private final ITemplateManager templateManager = ClusterTemplateManager.getInstance(); |
| |
| private static final class ClusterSchemaFetcherHolder { |
| private static final ClusterSchemaFetcher INSTANCE = new ClusterSchemaFetcher(); |
| |
| private ClusterSchemaFetcherHolder() {} |
| } |
| |
| public static ClusterSchemaFetcher getInstance() { |
| return ClusterSchemaFetcherHolder.INSTANCE; |
| } |
| |
| private ClusterSchemaFetcher() {} |
| |
| @Override |
| public ClusterSchemaTree fetchSchema(PathPatternTree patternTree) { |
| Map<Integer, Template> templateMap = new HashMap<>(); |
| patternTree.constructTree(); |
| for (PartialPath pattern : patternTree.getAllPathPatterns()) { |
| templateMap.putAll(templateManager.checkAllRelatedTemplate(pattern)); |
| } |
| return executeSchemaFetchQuery(new SchemaFetchStatement(patternTree, templateMap)); |
| } |
| |
| private ClusterSchemaTree executeSchemaFetchQuery(SchemaFetchStatement schemaFetchStatement) { |
| long queryId = SessionManager.getInstance().requestQueryId(false); |
| try { |
| ExecutionResult executionResult = |
| coordinator.execute( |
| schemaFetchStatement, |
| queryId, |
| null, |
| "", |
| ClusterPartitionFetcher.getInstance(), |
| this, |
| config.getQueryTimeoutThreshold()); |
| if (executionResult.status.getCode() != TSStatusCode.SUCCESS_STATUS.getStatusCode()) { |
| throw new RuntimeException( |
| String.format( |
| "cannot fetch schema, status is: %s, msg is: %s", |
| executionResult.status.getCode(), executionResult.status.getMessage())); |
| } |
| try (SetThreadName threadName = new SetThreadName(executionResult.queryId.getId())) { |
| ClusterSchemaTree result = new ClusterSchemaTree(); |
| List<String> storageGroupList = new ArrayList<>(); |
| while (coordinator.getQueryExecution(queryId).hasNextResult()) { |
| // The query will be transited to FINISHED when invoking getBatchResult() at the last time |
| // So we don't need to clean up it manually |
| Optional<TsBlock> tsBlock; |
| try { |
| tsBlock = coordinator.getQueryExecution(queryId).getBatchResult(); |
| } catch (IoTDBException e) { |
| throw new RuntimeException("Fetch Schema failed. ", e); |
| } |
| if (!tsBlock.isPresent() || tsBlock.get().isEmpty()) { |
| break; |
| } |
| Column column = tsBlock.get().getColumn(0); |
| for (int i = 0; i < column.getPositionCount(); i++) { |
| parseFetchedData(column.getBinary(i), result, storageGroupList); |
| } |
| } |
| result.setStorageGroups(storageGroupList); |
| return result; |
| } |
| } finally { |
| coordinator.removeQueryExecution(queryId); |
| } |
| } |
| |
| private void parseFetchedData( |
| Binary data, ClusterSchemaTree resultSchemaTree, List<String> storageGroupList) { |
| InputStream inputStream = new ByteArrayInputStream(data.getValues()); |
| try { |
| byte type = ReadWriteIOUtils.readByte(inputStream); |
| if (type == 0) { |
| int size = ReadWriteIOUtils.readInt(inputStream); |
| for (int i = 0; i < size; i++) { |
| storageGroupList.add(ReadWriteIOUtils.readString(inputStream)); |
| } |
| } else if (type == 1) { |
| resultSchemaTree.mergeSchemaTree(ClusterSchemaTree.deserialize(inputStream)); |
| } else { |
| throw new RuntimeException( |
| new MetadataException("Failed to fetch schema because of unrecognized data")); |
| } |
| } catch (IOException e) { |
| // Totally memory operation. This case won't happen. |
| } |
| } |
| |
| @Override |
| public ISchemaTree fetchSchemaWithAutoCreate( |
| PartialPath devicePath, |
| String[] measurements, |
| Function<Integer, TSDataType> getDataType, |
| boolean isAligned) { |
| schemaCache.takeReadLock(); |
| try { |
| ClusterSchemaTree schemaTree = schemaCache.get(devicePath, measurements); |
| List<Integer> indexOfMissingMeasurements = |
| checkMissingMeasurements(schemaTree, devicePath, measurements); |
| |
| if (indexOfMissingMeasurements.isEmpty()) { |
| return schemaTree; |
| } |
| |
| PathPatternTree patternTree = new PathPatternTree(); |
| for (int index : indexOfMissingMeasurements) { |
| patternTree.appendFullPath(devicePath, measurements[index]); |
| } |
| |
| ClusterSchemaTree remoteSchemaTree = fetchSchema(patternTree); |
| if (!remoteSchemaTree.isEmpty()) { |
| schemaTree.mergeSchemaTree(remoteSchemaTree); |
| schemaCache.put(remoteSchemaTree); |
| } |
| |
| if (!config.isAutoCreateSchemaEnabled()) { |
| return schemaTree; |
| } |
| |
| ClusterSchemaTree missingSchemaTree = |
| checkAndAutoCreateMissingMeasurements( |
| remoteSchemaTree, |
| devicePath, |
| indexOfMissingMeasurements, |
| measurements, |
| getDataType, |
| null, |
| null, |
| isAligned); |
| |
| schemaTree.mergeSchemaTree(missingSchemaTree); |
| schemaCache.put(missingSchemaTree); |
| |
| return schemaTree; |
| } finally { |
| schemaCache.releaseReadLock(); |
| } |
| } |
| |
| @Override |
| public ISchemaTree fetchSchemaListWithAutoCreate( |
| List<PartialPath> devicePathList, |
| List<String[]> measurementsList, |
| List<TSDataType[]> tsDataTypesList, |
| List<Boolean> isAlignedList) { |
| return fetchSchemaListWithAutoCreate( |
| devicePathList, measurementsList, tsDataTypesList, null, null, isAlignedList); |
| } |
| |
| @Override |
| public ISchemaTree fetchSchemaListWithAutoCreate( |
| List<PartialPath> devicePathList, |
| List<String[]> measurementsList, |
| List<TSDataType[]> tsDataTypesList, |
| List<TSEncoding[]> encodingsList, |
| List<CompressionType[]> compressionTypesList, |
| List<Boolean> isAlignedList) { |
| schemaCache.takeReadLock(); |
| |
| try { |
| ClusterSchemaTree schemaTree = new ClusterSchemaTree(); |
| PathPatternTree patternTree = new PathPatternTree(); |
| List<List<Integer>> indexOfMissingMeasurementsList = new ArrayList<>(devicePathList.size()); |
| for (int i = 0; i < devicePathList.size(); i++) { |
| schemaTree.mergeSchemaTree(schemaCache.get(devicePathList.get(i), measurementsList.get(i))); |
| List<Integer> indexOfMissingMeasurements = |
| checkMissingMeasurements(schemaTree, devicePathList.get(i), measurementsList.get(i)); |
| indexOfMissingMeasurementsList.add(indexOfMissingMeasurements); |
| for (int index : indexOfMissingMeasurements) { |
| patternTree.appendFullPath(devicePathList.get(i), measurementsList.get(i)[index]); |
| } |
| } |
| |
| if (patternTree.isEmpty()) { |
| return schemaTree; |
| } |
| |
| ClusterSchemaTree remoteSchemaTree = fetchSchema(patternTree); |
| if (!remoteSchemaTree.isEmpty()) { |
| schemaTree.mergeSchemaTree(remoteSchemaTree); |
| schemaCache.put(remoteSchemaTree); |
| } |
| |
| if (!config.isAutoCreateSchemaEnabled()) { |
| return schemaTree; |
| } |
| |
| ClusterSchemaTree missingSchemaTree; |
| for (int i = 0; i < devicePathList.size(); i++) { |
| int finalI = i; |
| missingSchemaTree = |
| checkAndAutoCreateMissingMeasurements( |
| schemaTree, |
| devicePathList.get(i), |
| indexOfMissingMeasurementsList.get(i), |
| measurementsList.get(i), |
| index -> tsDataTypesList.get(finalI)[index], |
| encodingsList == null ? null : encodingsList.get(i), |
| compressionTypesList == null ? null : compressionTypesList.get(i), |
| isAlignedList.get(i)); |
| schemaTree.mergeSchemaTree(missingSchemaTree); |
| schemaCache.put(missingSchemaTree); |
| } |
| return schemaTree; |
| } finally { |
| schemaCache.releaseReadLock(); |
| } |
| } |
| |
| @Override |
| public Pair<Template, PartialPath> checkTemplateSetInfo(PartialPath path) { |
| return templateManager.checkTemplateSetInfo(path); |
| } |
| |
| @Override |
| public Map<Integer, Template> checkAllRelatedTemplate(PartialPath pathPattern) { |
| return templateManager.checkAllRelatedTemplate(pathPattern); |
| } |
| |
| @Override |
| public Pair<Template, List<PartialPath>> getAllPathsSetTemplate(String templateName) { |
| return templateManager.getAllPathsSetTemplate(templateName); |
| } |
| |
| private ClusterSchemaTree checkAndAutoCreateMissingMeasurements( |
| ClusterSchemaTree schemaTree, |
| PartialPath devicePath, |
| List<Integer> indexOfMissingMeasurements, |
| String[] measurements, |
| Function<Integer, TSDataType> getDataType, |
| TSEncoding[] encodings, |
| CompressionType[] compressionTypes, |
| boolean isAligned) { |
| DeviceSchemaInfo deviceSchemaInfo = |
| schemaTree.searchDeviceSchemaInfo( |
| devicePath, |
| indexOfMissingMeasurements.stream() |
| .map(index -> measurements[index]) |
| .collect(Collectors.toList())); |
| if (deviceSchemaInfo != null) { |
| List<MeasurementSchema> schemaList = deviceSchemaInfo.getMeasurementSchemaList(); |
| int removedCount = 0; |
| for (int i = 0, size = schemaList.size(); i < size; i++) { |
| if (schemaList.get(i) != null) { |
| indexOfMissingMeasurements.remove(i - removedCount); |
| removedCount++; |
| } |
| } |
| } |
| |
| ClusterSchemaTree reFetchedSchemaTree = new ClusterSchemaTree(); |
| |
| if (indexOfMissingMeasurements.isEmpty()) { |
| return reFetchedSchemaTree; |
| } |
| |
| Pair<Template, PartialPath> templateInfo = templateManager.checkTemplateSetInfo(devicePath); |
| if (templateInfo != null) { |
| Template template = templateInfo.left; |
| boolean shouldActivateTemplate = false; |
| for (int index : indexOfMissingMeasurements) { |
| if (template.hasSchema(measurements[index])) { |
| shouldActivateTemplate = true; |
| break; |
| } |
| } |
| |
| if (shouldActivateTemplate) { |
| internalActivateTemplate(devicePath); |
| List<Integer> recheckedIndexOfMissingMeasurements = new ArrayList<>(); |
| for (int i = 0; i < indexOfMissingMeasurements.size(); i++) { |
| if (!template.hasSchema(measurements[i])) { |
| recheckedIndexOfMissingMeasurements.add(indexOfMissingMeasurements.get(i)); |
| } |
| } |
| indexOfMissingMeasurements = recheckedIndexOfMissingMeasurements; |
| for (Map.Entry<String, IMeasurementSchema> entry : template.getSchemaMap().entrySet()) { |
| schemaTree.appendSingleMeasurement( |
| devicePath.concatNode(entry.getKey()), |
| (MeasurementSchema) entry.getValue(), |
| null, |
| template.isDirectAligned()); |
| } |
| |
| if (indexOfMissingMeasurements.isEmpty()) { |
| return schemaTree; |
| } |
| } |
| } |
| |
| List<String> missingMeasurements = new ArrayList<>(indexOfMissingMeasurements.size()); |
| List<TSDataType> dataTypesOfMissingMeasurement = |
| new ArrayList<>(indexOfMissingMeasurements.size()); |
| List<TSEncoding> encodingsOfMissingMeasurement = |
| new ArrayList<>(indexOfMissingMeasurements.size()); |
| List<CompressionType> compressionTypesOfMissingMeasurement = |
| new ArrayList<>(indexOfMissingMeasurements.size()); |
| indexOfMissingMeasurements.forEach( |
| index -> { |
| TSDataType tsDataType = getDataType.apply(index); |
| missingMeasurements.add(measurements[index]); |
| dataTypesOfMissingMeasurement.add(tsDataType); |
| encodingsOfMissingMeasurement.add( |
| encodings == null ? getDefaultEncoding(tsDataType) : encodings[index]); |
| compressionTypesOfMissingMeasurement.add( |
| compressionTypes == null |
| ? TSFileDescriptor.getInstance().getConfig().getCompressor() |
| : compressionTypes[index]); |
| }); |
| |
| schemaTree.mergeSchemaTree( |
| internalCreateTimeseries( |
| devicePath, |
| missingMeasurements, |
| dataTypesOfMissingMeasurement, |
| encodingsOfMissingMeasurement, |
| compressionTypesOfMissingMeasurement, |
| isAligned)); |
| |
| return schemaTree; |
| } |
| |
| private List<Integer> checkMissingMeasurements( |
| ISchemaTree schemaTree, PartialPath devicePath, String[] measurements) { |
| DeviceSchemaInfo deviceSchemaInfo = |
| schemaTree.searchDeviceSchemaInfo(devicePath, Arrays.asList(measurements)); |
| if (deviceSchemaInfo == null) { |
| return IntStream.range(0, measurements.length).boxed().collect(Collectors.toList()); |
| } |
| |
| List<Integer> indexOfMissingMeasurements = new ArrayList<>(); |
| List<MeasurementSchema> schemaList = deviceSchemaInfo.getMeasurementSchemaList(); |
| for (int i = 0; i < measurements.length; i++) { |
| if (schemaList.get(i) == null) { |
| indexOfMissingMeasurements.add(i); |
| } |
| } |
| |
| return indexOfMissingMeasurements; |
| } |
| |
| private ClusterSchemaTree internalCreateTimeseries( |
| PartialPath devicePath, |
| List<String> measurements, |
| List<TSDataType> tsDataTypes, |
| List<TSEncoding> encodings, |
| List<CompressionType> compressors, |
| boolean isAligned) { |
| List<MeasurementPath> measurementPathList = |
| executeInternalCreateTimeseriesStatement( |
| new InternalCreateTimeSeriesStatement( |
| devicePath, measurements, tsDataTypes, encodings, compressors, isAligned)); |
| |
| Set<Integer> alreadyExistingMeasurementIndexSet = |
| measurementPathList.stream() |
| .map(o -> measurements.indexOf(o.getMeasurement())) |
| .collect(Collectors.toSet()); |
| |
| ClusterSchemaTree schemaTree = new ClusterSchemaTree(); |
| schemaTree.appendMeasurementPaths(measurementPathList); |
| |
| for (int i = 0, size = measurements.size(); i < size; i++) { |
| if (alreadyExistingMeasurementIndexSet.contains(i)) { |
| continue; |
| } |
| |
| schemaTree.appendSingleMeasurement( |
| devicePath.concatNode(measurements.get(i)), |
| new MeasurementSchema( |
| measurements.get(i), tsDataTypes.get(i), encodings.get(i), compressors.get(i)), |
| null, |
| isAligned); |
| } |
| |
| schemaCache.put(schemaTree); |
| |
| return schemaTree; |
| } |
| |
| private List<MeasurementPath> executeInternalCreateTimeseriesStatement( |
| InternalCreateTimeSeriesStatement statement) { |
| |
| ExecutionResult executionResult = executeStatement(statement); |
| |
| int statusCode = executionResult.status.getCode(); |
| if (statusCode == TSStatusCode.SUCCESS_STATUS.getStatusCode()) { |
| return Collections.emptyList(); |
| } |
| |
| List<String> failedCreationList = new ArrayList<>(); |
| List<MeasurementPath> alreadyExistingMeasurements = new ArrayList<>(); |
| for (TSStatus subStatus : executionResult.status.subStatus) { |
| if (subStatus.code == TSStatusCode.MEASUREMENT_ALREADY_EXIST.getStatusCode()) { |
| alreadyExistingMeasurements.add( |
| MeasurementPath.parseDataFromString(subStatus.getMessage())); |
| } else { |
| failedCreationList.add(subStatus.message); |
| } |
| } |
| |
| if (!failedCreationList.isEmpty()) { |
| StringBuilder stringBuilder = new StringBuilder(); |
| for (String message : failedCreationList) { |
| stringBuilder.append(message).append("\n"); |
| } |
| throw new RuntimeException(String.format("Failed to auto create schema\n %s", stringBuilder)); |
| } |
| |
| return alreadyExistingMeasurements; |
| } |
| |
| public void internalActivateTemplate(PartialPath devicePath) { |
| ExecutionResult executionResult = executeStatement(new ActivateTemplateStatement(devicePath)); |
| TSStatus status = executionResult.status; |
| if (status.getCode() != TSStatusCode.SUCCESS_STATUS.getStatusCode() |
| && status.getCode() != TSStatusCode.TEMPLATE_IS_IN_USE.getStatusCode()) { |
| throw new RuntimeException(new IoTDBException(status.getMessage(), status.getCode())); |
| } |
| } |
| |
| private ExecutionResult executeStatement(Statement statement) { |
| long queryId = SessionManager.getInstance().requestQueryId(false); |
| return coordinator.execute( |
| statement, |
| queryId, |
| null, |
| "", |
| ClusterPartitionFetcher.getInstance(), |
| this, |
| config.getQueryTimeoutThreshold()); |
| } |
| |
| @Override |
| public void invalidAllCache() { |
| DataNodeSchemaCache.getInstance().cleanUp(); |
| } |
| } |