| /* |
| * 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.hudi.table.action.clean; |
| |
| import org.apache.hadoop.fs.FileSystem; |
| import org.apache.hadoop.fs.Path; |
| import org.apache.hudi.avro.model.HoodieActionInstant; |
| import org.apache.hudi.avro.model.HoodieCleanMetadata; |
| import org.apache.hudi.avro.model.HoodieCleanerPlan; |
| import org.apache.hudi.avro.model.HoodieCleanFileInfo; |
| import org.apache.hudi.common.HoodieCleanStat; |
| import org.apache.hudi.common.model.CleanFileInfo; |
| import org.apache.hudi.common.model.HoodieCleaningPolicy; |
| import org.apache.hudi.common.table.timeline.HoodieInstant; |
| import org.apache.hudi.common.table.timeline.HoodieTimeline; |
| import org.apache.hudi.common.table.timeline.TimelineMetadataUtils; |
| import org.apache.hudi.common.util.CleanerUtils; |
| import org.apache.hudi.common.util.CollectionUtils; |
| import org.apache.hudi.common.util.HoodieTimer; |
| import org.apache.hudi.common.util.Option; |
| import org.apache.hudi.common.util.ValidationUtils; |
| import org.apache.hudi.common.util.collection.Pair; |
| import org.apache.hudi.config.HoodieWriteConfig; |
| import org.apache.hudi.exception.HoodieIOException; |
| import org.apache.hudi.table.HoodieTable; |
| import org.apache.hudi.table.action.BaseActionExecutor; |
| import org.apache.log4j.LogManager; |
| import org.apache.log4j.Logger; |
| import org.apache.spark.api.java.JavaSparkContext; |
| import org.apache.spark.api.java.function.PairFlatMapFunction; |
| import scala.Tuple2; |
| |
| import java.io.FileNotFoundException; |
| import java.io.IOException; |
| import java.util.HashMap; |
| import java.util.Iterator; |
| import java.util.List; |
| import java.util.Map; |
| import java.util.stream.Collectors; |
| |
| public class CleanActionExecutor extends BaseActionExecutor<HoodieCleanMetadata> { |
| |
| private static final long serialVersionUID = 1L; |
| private static final Logger LOG = LogManager.getLogger(CleanActionExecutor.class); |
| |
| public CleanActionExecutor(JavaSparkContext jsc, HoodieWriteConfig config, HoodieTable<?> table, String instantTime) { |
| super(jsc, config, table, instantTime); |
| } |
| |
| /** |
| * Generates List of files to be cleaned. |
| * |
| * @param jsc JavaSparkContext |
| * @return Cleaner Plan |
| */ |
| HoodieCleanerPlan requestClean(JavaSparkContext jsc) { |
| try { |
| CleanPlanner<?> planner = new CleanPlanner<>(table, config); |
| Option<HoodieInstant> earliestInstant = planner.getEarliestCommitToRetain(); |
| List<String> partitionsToClean = planner.getPartitionPathsToClean(earliestInstant); |
| |
| if (partitionsToClean.isEmpty()) { |
| LOG.info("Nothing to clean here. It is already clean"); |
| return HoodieCleanerPlan.newBuilder().setPolicy(HoodieCleaningPolicy.KEEP_LATEST_COMMITS.name()).build(); |
| } |
| LOG.info("Total Partitions to clean : " + partitionsToClean.size() + ", with policy " + config.getCleanerPolicy()); |
| int cleanerParallelism = Math.min(partitionsToClean.size(), config.getCleanerParallelism()); |
| LOG.info("Using cleanerParallelism: " + cleanerParallelism); |
| |
| jsc.setJobGroup(this.getClass().getSimpleName(), "Generates list of file slices to be cleaned"); |
| Map<String, List<HoodieCleanFileInfo>> cleanOps = jsc |
| .parallelize(partitionsToClean, cleanerParallelism) |
| .map(partitionPathToClean -> Pair.of(partitionPathToClean, planner.getDeletePaths(partitionPathToClean))) |
| .collect().stream() |
| .collect(Collectors.toMap(Pair::getKey, y -> CleanerUtils.convertToHoodieCleanFileInfoList(y.getValue()))); |
| |
| return new HoodieCleanerPlan(earliestInstant |
| .map(x -> new HoodieActionInstant(x.getTimestamp(), x.getAction(), x.getState().name())).orElse(null), |
| config.getCleanerPolicy().name(), CollectionUtils.createImmutableMap(), |
| CleanPlanner.LATEST_CLEAN_PLAN_VERSION, cleanOps); |
| } catch (IOException e) { |
| throw new HoodieIOException("Failed to schedule clean operation", e); |
| } |
| } |
| |
| private static PairFlatMapFunction<Iterator<Tuple2<String, CleanFileInfo>>, String, PartitionCleanStat> |
| deleteFilesFunc(HoodieTable table) { |
| return (PairFlatMapFunction<Iterator<Tuple2<String, CleanFileInfo>>, String, PartitionCleanStat>) iter -> { |
| Map<String, PartitionCleanStat> partitionCleanStatMap = new HashMap<>(); |
| FileSystem fs = table.getMetaClient().getFs(); |
| while (iter.hasNext()) { |
| Tuple2<String, CleanFileInfo> partitionDelFileTuple = iter.next(); |
| String partitionPath = partitionDelFileTuple._1(); |
| Path deletePath = new Path(partitionDelFileTuple._2().getFilePath()); |
| String deletePathStr = deletePath.toString(); |
| Boolean deletedFileResult = deleteFileAndGetResult(fs, deletePathStr); |
| if (!partitionCleanStatMap.containsKey(partitionPath)) { |
| partitionCleanStatMap.put(partitionPath, new PartitionCleanStat(partitionPath)); |
| } |
| boolean isBootstrapBasePathFile = partitionDelFileTuple._2().isBootstrapBaseFile(); |
| PartitionCleanStat partitionCleanStat = partitionCleanStatMap.get(partitionPath); |
| if (isBootstrapBasePathFile) { |
| // For Bootstrap Base file deletions, store the full file path. |
| partitionCleanStat.addDeleteFilePatterns(deletePath.toString(), true); |
| partitionCleanStat.addDeletedFileResult(deletePath.toString(), deletedFileResult, true); |
| } else { |
| partitionCleanStat.addDeleteFilePatterns(deletePath.getName(), false); |
| partitionCleanStat.addDeletedFileResult(deletePath.getName(), deletedFileResult, false); |
| } |
| } |
| return partitionCleanStatMap.entrySet().stream().map(e -> new Tuple2<>(e.getKey(), e.getValue())) |
| .collect(Collectors.toList()).iterator(); |
| }; |
| } |
| |
| private static Boolean deleteFileAndGetResult(FileSystem fs, String deletePathStr) throws IOException { |
| Path deletePath = new Path(deletePathStr); |
| LOG.debug("Working on delete path :" + deletePath); |
| try { |
| boolean deleteResult = fs.delete(deletePath, false); |
| if (deleteResult) { |
| LOG.debug("Cleaned file at path :" + deletePath); |
| } |
| return deleteResult; |
| } catch (FileNotFoundException fio) { |
| // With cleanPlan being used for retried cleaning operations, its possible to clean a file twice |
| return false; |
| } |
| } |
| |
| /** |
| * Performs cleaning of partition paths according to cleaning policy and returns the number of files cleaned. Handles |
| * skews in partitions to clean by making files to clean as the unit of task distribution. |
| * |
| * @throws IllegalArgumentException if unknown cleaning policy is provided |
| */ |
| List<HoodieCleanStat> clean(JavaSparkContext jsc, HoodieCleanerPlan cleanerPlan) { |
| int cleanerParallelism = Math.min( |
| (int) (cleanerPlan.getFilePathsToBeDeletedPerPartition().values().stream().mapToInt(List::size).count()), |
| config.getCleanerParallelism()); |
| LOG.info("Using cleanerParallelism: " + cleanerParallelism); |
| |
| jsc.setJobGroup(this.getClass().getSimpleName(), "Perform cleaning of partitions"); |
| List<Tuple2<String, PartitionCleanStat>> partitionCleanStats = jsc |
| .parallelize(cleanerPlan.getFilePathsToBeDeletedPerPartition().entrySet().stream() |
| .flatMap(x -> x.getValue().stream().map(y -> new Tuple2<>(x.getKey(), |
| new CleanFileInfo(y.getFilePath(), y.getIsBootstrapBaseFile())))) |
| .collect(Collectors.toList()), cleanerParallelism) |
| .mapPartitionsToPair(deleteFilesFunc(table)) |
| .reduceByKey(PartitionCleanStat::merge).collect(); |
| |
| Map<String, PartitionCleanStat> partitionCleanStatsMap = partitionCleanStats.stream() |
| .collect(Collectors.toMap(Tuple2::_1, Tuple2::_2)); |
| |
| // Return PartitionCleanStat for each partition passed. |
| return cleanerPlan.getFilePathsToBeDeletedPerPartition().keySet().stream().map(partitionPath -> { |
| PartitionCleanStat partitionCleanStat = partitionCleanStatsMap.containsKey(partitionPath) |
| ? partitionCleanStatsMap.get(partitionPath) |
| : new PartitionCleanStat(partitionPath); |
| HoodieActionInstant actionInstant = cleanerPlan.getEarliestInstantToRetain(); |
| return HoodieCleanStat.newBuilder().withPolicy(config.getCleanerPolicy()).withPartitionPath(partitionPath) |
| .withEarliestCommitRetained(Option.ofNullable( |
| actionInstant != null |
| ? new HoodieInstant(HoodieInstant.State.valueOf(actionInstant.getState()), |
| actionInstant.getAction(), actionInstant.getTimestamp()) |
| : null)) |
| .withDeletePathPattern(partitionCleanStat.deletePathPatterns()) |
| .withSuccessfulDeletes(partitionCleanStat.successDeleteFiles()) |
| .withFailedDeletes(partitionCleanStat.failedDeleteFiles()) |
| .withDeleteBootstrapBasePathPatterns(partitionCleanStat.getDeleteBootstrapBasePathPatterns()) |
| .withSuccessfulDeleteBootstrapBaseFiles(partitionCleanStat.getSuccessfulDeleteBootstrapBaseFiles()) |
| .withFailedDeleteBootstrapBaseFiles(partitionCleanStat.getFailedDeleteBootstrapBaseFiles()) |
| .build(); |
| }).collect(Collectors.toList()); |
| } |
| |
| /** |
| * Creates a Cleaner plan if there are files to be cleaned and stores them in instant file. |
| * Cleaner Plan contains absolute file paths. |
| * |
| * @param startCleanTime Cleaner Instant Time |
| * @return Cleaner Plan if generated |
| */ |
| Option<HoodieCleanerPlan> requestClean(String startCleanTime) { |
| final HoodieCleanerPlan cleanerPlan = requestClean(jsc); |
| if ((cleanerPlan.getFilePathsToBeDeletedPerPartition() != null) |
| && !cleanerPlan.getFilePathsToBeDeletedPerPartition().isEmpty() |
| && cleanerPlan.getFilePathsToBeDeletedPerPartition().values().stream().mapToInt(List::size).sum() > 0) { |
| // Only create cleaner plan which does some work |
| final HoodieInstant cleanInstant = new HoodieInstant(HoodieInstant.State.REQUESTED, HoodieTimeline.CLEAN_ACTION, startCleanTime); |
| // Save to both aux and timeline folder |
| try { |
| table.getActiveTimeline().saveToCleanRequested(cleanInstant, TimelineMetadataUtils.serializeCleanerPlan(cleanerPlan)); |
| LOG.info("Requesting Cleaning with instant time " + cleanInstant); |
| } catch (IOException e) { |
| LOG.error("Got exception when saving cleaner requested file", e); |
| throw new HoodieIOException(e.getMessage(), e); |
| } |
| return Option.of(cleanerPlan); |
| } |
| return Option.empty(); |
| } |
| |
| /** |
| * Executes the Cleaner plan stored in the instant metadata. |
| */ |
| void runPendingClean(HoodieTable<?> table, HoodieInstant cleanInstant) { |
| try { |
| HoodieCleanerPlan cleanerPlan = CleanerUtils.getCleanerPlan(table.getMetaClient(), cleanInstant); |
| runClean(table, cleanInstant, cleanerPlan); |
| } catch (IOException e) { |
| throw new HoodieIOException(e.getMessage(), e); |
| } |
| } |
| |
| private HoodieCleanMetadata runClean(HoodieTable<?> table, HoodieInstant cleanInstant, HoodieCleanerPlan cleanerPlan) { |
| ValidationUtils.checkArgument(cleanInstant.getState().equals(HoodieInstant.State.REQUESTED) |
| || cleanInstant.getState().equals(HoodieInstant.State.INFLIGHT)); |
| |
| try { |
| final HoodieInstant inflightInstant; |
| final HoodieTimer timer = new HoodieTimer(); |
| timer.startTimer(); |
| if (cleanInstant.isRequested()) { |
| inflightInstant = table.getActiveTimeline().transitionCleanRequestedToInflight(cleanInstant, |
| TimelineMetadataUtils.serializeCleanerPlan(cleanerPlan)); |
| } else { |
| inflightInstant = cleanInstant; |
| } |
| |
| List<HoodieCleanStat> cleanStats = clean(jsc, cleanerPlan); |
| if (cleanStats.isEmpty()) { |
| return HoodieCleanMetadata.newBuilder().build(); |
| } |
| |
| table.getMetaClient().reloadActiveTimeline(); |
| HoodieCleanMetadata metadata = CleanerUtils.convertCleanMetadata( |
| inflightInstant.getTimestamp(), |
| Option.of(timer.endTimer()), |
| cleanStats |
| ); |
| |
| table.getActiveTimeline().transitionCleanInflightToComplete(inflightInstant, |
| TimelineMetadataUtils.serializeCleanMetadata(metadata)); |
| LOG.info("Marked clean started on " + inflightInstant.getTimestamp() + " as complete"); |
| return metadata; |
| } catch (IOException e) { |
| throw new HoodieIOException("Failed to clean up after commit", e); |
| } |
| } |
| |
| @Override |
| public HoodieCleanMetadata execute() { |
| // If there are inflight(failed) or previously requested clean operation, first perform them |
| List<HoodieInstant> pendingCleanInstants = table.getCleanTimeline() |
| .filterInflightsAndRequested().getInstants().collect(Collectors.toList()); |
| if (pendingCleanInstants.size() > 0) { |
| pendingCleanInstants.forEach(hoodieInstant -> { |
| LOG.info("Finishing previously unfinished cleaner instant=" + hoodieInstant); |
| try { |
| runPendingClean(table, hoodieInstant); |
| } catch (Exception e) { |
| LOG.warn("Failed to perform previous clean operation, instant: " + hoodieInstant, e); |
| } |
| }); |
| table.getMetaClient().reloadActiveTimeline(); |
| } |
| |
| // Plan and execute a new clean action |
| Option<HoodieCleanerPlan> cleanerPlanOpt = requestClean(instantTime); |
| if (cleanerPlanOpt.isPresent()) { |
| table.getMetaClient().reloadActiveTimeline(); |
| HoodieCleanerPlan cleanerPlan = cleanerPlanOpt.get(); |
| if ((cleanerPlan.getFilePathsToBeDeletedPerPartition() != null) && !cleanerPlan.getFilePathsToBeDeletedPerPartition().isEmpty()) { |
| return runClean(table, HoodieTimeline.getCleanRequestedInstant(instantTime), cleanerPlan); |
| } |
| } |
| return null; |
| } |
| } |