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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.
*/
package org.apache.hudi.common.util;
import org.apache.hudi.avro.model.HoodieClusteringGroup;
import org.apache.hudi.avro.model.HoodieClusteringPlan;
import org.apache.hudi.avro.model.HoodieClusteringStrategy;
import org.apache.hudi.avro.model.HoodieRequestedReplaceMetadata;
import org.apache.hudi.avro.model.HoodieSliceInfo;
import org.apache.hudi.common.fs.FSUtils;
import org.apache.hudi.common.model.BaseFile;
import org.apache.hudi.common.model.FileSlice;
import org.apache.hudi.common.model.HoodieFileGroupId;
import org.apache.hudi.common.model.HoodieLogFile;
import org.apache.hudi.common.model.WriteOperationType;
import org.apache.hudi.common.table.HoodieTableMetaClient;
import org.apache.hudi.common.table.timeline.HoodieActiveTimeline;
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.collection.Pair;
import org.apache.hudi.exception.HoodieException;
import org.apache.hudi.exception.HoodieIOException;
import org.apache.log4j.LogManager;
import org.apache.log4j.Logger;
import java.io.IOException;
import java.util.AbstractMap;
import java.util.Arrays;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;
import java.util.stream.Stream;
/**
* Helper class to generate clustering plan from metadata.
*/
public class ClusteringUtils {
private static final Logger LOG = LogManager.getLogger(ClusteringUtils.class);
public static final String TOTAL_IO_READ_MB = "TOTAL_IO_READ_MB";
public static final String TOTAL_LOG_FILE_SIZE = "TOTAL_LOG_FILES_SIZE";
public static final String TOTAL_LOG_FILES = "TOTAL_LOG_FILES";
/**
* Get all pending clustering plans along with their instants.
*/
public static Stream> getAllPendingClusteringPlans(
HoodieTableMetaClient metaClient) {
List pendingReplaceInstants =
metaClient.getActiveTimeline().filterPendingReplaceTimeline().getInstants();
return pendingReplaceInstants.stream().map(instant -> getClusteringPlan(metaClient, instant))
.filter(Option::isPresent).map(Option::get);
}
/**
* Get requested replace metadata from timeline.
* @param metaClient
* @param pendingReplaceInstant
* @return
* @throws IOException
*/
private static Option getRequestedReplaceMetadata(HoodieTableMetaClient metaClient, HoodieInstant pendingReplaceInstant) throws IOException {
final HoodieInstant requestedInstant;
if (!pendingReplaceInstant.isRequested()) {
// inflight replacecommit files don't have clustering plan.
// This is because replacecommit inflight can have workload profile for 'insert_overwrite'.
// Get the plan from corresponding requested instant.
requestedInstant = HoodieTimeline.getReplaceCommitRequestedInstant(pendingReplaceInstant.getTimestamp());
} else {
requestedInstant = pendingReplaceInstant;
}
Option content = metaClient.getActiveTimeline().getInstantDetails(requestedInstant);
if (!content.isPresent() || content.get().length == 0) {
// few operations create requested file without any content. Assume these are not clustering
return Option.empty();
}
return Option.of(TimelineMetadataUtils.deserializeRequestedReplaceMetadata(content.get()));
}
/**
* Get Clustering plan from timeline.
* @param metaClient
* @param pendingReplaceInstant
* @return
*/
public static Option> getClusteringPlan(HoodieTableMetaClient metaClient, HoodieInstant pendingReplaceInstant) {
try {
Option requestedReplaceMetadata = getRequestedReplaceMetadata(metaClient, pendingReplaceInstant);
if (requestedReplaceMetadata.isPresent() && WriteOperationType.CLUSTER.name().equals(requestedReplaceMetadata.get().getOperationType())) {
return Option.of(Pair.of(pendingReplaceInstant, requestedReplaceMetadata.get().getClusteringPlan()));
}
return Option.empty();
} catch (IOException e) {
throw new HoodieIOException("Error reading clustering plan " + pendingReplaceInstant.getTimestamp(), e);
}
}
/**
* Get filegroups to pending clustering instant mapping for all pending clustering plans.
* This includes all clustering operations in 'requested' and 'inflight' states.
*/
public static Map getAllFileGroupsInPendingClusteringPlans(
HoodieTableMetaClient metaClient) {
Stream> pendingClusteringPlans = getAllPendingClusteringPlans(metaClient);
Stream> resultStream = pendingClusteringPlans.flatMap(clusteringPlan ->
// get all filegroups in the plan
getFileGroupEntriesInClusteringPlan(clusteringPlan.getLeft(), clusteringPlan.getRight()));
Map resultMap;
try {
resultMap = resultStream.collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue));
} catch (Exception e) {
if (e instanceof IllegalStateException && e.getMessage().contains("Duplicate key")) {
throw new HoodieException("Found duplicate file groups pending clustering. If you're running deltastreamer in continuous mode, consider adding delay using --min-sync-interval-seconds. "
+ "Or consider setting write concurrency mode to optimistic_concurrency_control.", e);
}
throw new HoodieException("Error getting all file groups in pending clustering", e);
}
LOG.info("Found " + resultMap.size() + " files in pending clustering operations");
return resultMap;
}
public static Stream> getFileGroupsInPendingClusteringInstant(
HoodieInstant instant, HoodieClusteringPlan clusteringPlan) {
Stream partitionToFileIdLists = clusteringPlan.getInputGroups().stream().flatMap(ClusteringUtils::getFileGroupsFromClusteringGroup);
return partitionToFileIdLists.map(e -> Pair.of(e, instant));
}
private static Stream> getFileGroupEntriesInClusteringPlan(
HoodieInstant instant, HoodieClusteringPlan clusteringPlan) {
return getFileGroupsInPendingClusteringInstant(instant, clusteringPlan).map(entry ->
new AbstractMap.SimpleEntry<>(entry.getLeft(), entry.getRight()));
}
public static Stream getFileGroupsFromClusteringPlan(HoodieClusteringPlan clusteringPlan) {
return clusteringPlan.getInputGroups().stream().flatMap(ClusteringUtils::getFileGroupsFromClusteringGroup);
}
public static Stream getFileGroupsFromClusteringGroup(HoodieClusteringGroup group) {
return group.getSlices().stream().map(slice -> new HoodieFileGroupId(slice.getPartitionPath(), slice.getFileId()));
}
/**
* Create clustering plan from input fileSliceGroups.
*/
public static HoodieClusteringPlan createClusteringPlan(String strategyClassName,
Map strategyParams,
List[] fileSliceGroups,
Map extraMetadata) {
List clusteringGroups = Arrays.stream(fileSliceGroups).map(fileSliceGroup -> {
Map groupMetrics = buildMetrics(fileSliceGroup);
List sliceInfos = getFileSliceInfo(fileSliceGroup);
return HoodieClusteringGroup.newBuilder().setSlices(sliceInfos).setMetrics(groupMetrics).build();
}).collect(Collectors.toList());
HoodieClusteringStrategy strategy = HoodieClusteringStrategy.newBuilder()
.setStrategyClassName(strategyClassName).setStrategyParams(strategyParams)
.build();
return HoodieClusteringPlan.newBuilder()
.setInputGroups(clusteringGroups)
.setExtraMetadata(extraMetadata)
.setStrategy(strategy)
.build();
}
private static List getFileSliceInfo(List slices) {
return slices.stream().map(slice -> HoodieSliceInfo.newBuilder()
.setPartitionPath(slice.getPartitionPath())
.setFileId(slice.getFileId())
.setDataFilePath(slice.getBaseFile().map(BaseFile::getPath).orElse(null))
.setDeltaFilePaths(slice.getLogFiles().map(f -> f.getPath().getName()).collect(Collectors.toList()))
.setBootstrapFilePath(slice.getBaseFile().map(bf -> bf.getBootstrapBaseFile().map(BaseFile::getPath).orElse(null)).orElse(null))
.build()).collect(Collectors.toList());
}
private static Map buildMetrics(List fileSlices) {
int numLogFiles = 0;
long totalLogFileSize = 0;
long totalIORead = 0;
for (FileSlice slice : fileSlices) {
numLogFiles += slice.getLogFiles().count();
// Total size of all the log files
totalLogFileSize += slice.getLogFiles().map(HoodieLogFile::getFileSize).filter(size -> size >= 0)
.reduce(Long::sum).orElse(0L);
// Total read will be the base file + all the log files
totalIORead =
FSUtils.getSizeInMB((slice.getBaseFile().isPresent() ? slice.getBaseFile().get().getFileSize() : 0L) + totalLogFileSize);
}
Map metrics = new HashMap<>();
metrics.put(TOTAL_IO_READ_MB, (double) totalIORead);
metrics.put(TOTAL_LOG_FILE_SIZE, (double) totalLogFileSize);
metrics.put(TOTAL_LOG_FILES, (double) numLogFiles);
return metrics;
}
public static List getPendingClusteringInstantTimes(HoodieTableMetaClient metaClient) {
return metaClient.getActiveTimeline().filterPendingReplaceTimeline().getInstantsAsStream()
.filter(instant -> isPendingClusteringInstant(metaClient, instant))
.collect(Collectors.toList());
}
public static boolean isPendingClusteringInstant(HoodieTableMetaClient metaClient, HoodieInstant instant) {
return getClusteringPlan(metaClient, instant).isPresent();
}
/**
* Checks whether the latest clustering instant has a subsequent cleaning action. Returns
* the clustering instant if there is such cleaning action or empty.
*
* @param activeTimeline The active timeline
* @param metaClient The meta client
* @return the oldest instant to retain for clustering
*/
public static Option getOldestInstantToRetainForClustering(
HoodieActiveTimeline activeTimeline, HoodieTableMetaClient metaClient) throws IOException {
HoodieTimeline replaceTimeline = activeTimeline.getCompletedReplaceTimeline();
if (!replaceTimeline.empty()) {
Option cleanInstantOpt =
activeTimeline.getCleanerTimeline().filter(instant -> !instant.isCompleted()).firstInstant();
if (cleanInstantOpt.isPresent()) {
// The first clustering instant of which timestamp is greater than or equal to the earliest commit to retain of
// the clean metadata.
HoodieInstant cleanInstant = cleanInstantOpt.get();
String earliestCommitToRetain =
CleanerUtils.getCleanerPlan(metaClient,
cleanInstant.isRequested()
? cleanInstant
: HoodieTimeline.getCleanRequestedInstant(cleanInstant.getTimestamp()))
.getEarliestInstantToRetain().getTimestamp();
return StringUtils.isNullOrEmpty(earliestCommitToRetain)
? Option.empty()
: replaceTimeline.filter(instant ->
HoodieTimeline.compareTimestamps(instant.getTimestamp(),
HoodieTimeline.GREATER_THAN_OR_EQUALS,
earliestCommitToRetain))
.firstInstant();
}
}
return Option.empty();
}
}
