vinothchandar commented on a change in pull request #1402: [WIP][HUDI-407] Adding Simple Index URL: https://github.com/apache/incubator-hudi/pull/1402#discussion_r405076523
########## File path: hudi-client/src/main/java/org/apache/hudi/index/bloom/HoodieSimpleIndex.java ########## @@ -0,0 +1,263 @@ +/* + * 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.index.bloom; + +import org.apache.hudi.WriteStatus; +import org.apache.hudi.common.model.HoodieDataFile; +import org.apache.hudi.common.model.HoodieKey; +import org.apache.hudi.common.model.HoodieRecord; +import org.apache.hudi.common.model.HoodieRecordLocation; +import org.apache.hudi.common.model.HoodieRecordPayload; +import org.apache.hudi.common.table.timeline.HoodieInstant; +import org.apache.hudi.common.util.Option; +import org.apache.hudi.common.util.ParquetUtils; +import org.apache.hudi.common.util.collection.Pair; +import org.apache.hudi.config.HoodieWriteConfig; +import org.apache.hudi.table.HoodieTable; + +import com.google.common.annotations.VisibleForTesting; +import org.apache.hadoop.fs.Path; +import org.apache.log4j.LogManager; +import org.apache.log4j.Logger; +import org.apache.spark.api.java.JavaPairRDD; +import org.apache.spark.api.java.JavaRDD; +import org.apache.spark.api.java.JavaSparkContext; +import org.apache.spark.api.java.Optional; +import org.apache.spark.api.java.function.PairFunction; +import org.apache.spark.storage.StorageLevel; + +import java.util.ArrayList; +import java.util.List; +import java.util.Map; + +import scala.Tuple2; + +import static java.util.stream.Collectors.toList; + +/** + * A simple index which reads interested fields from parquet and joins with incoming records to find the tagged location + * + * @param <T> + */ +public class HoodieSimpleIndex<T extends HoodieRecordPayload> extends HoodieBloomIndex<T> { + + private static final Logger LOG = LogManager.getLogger(HoodieSimpleIndex.class); + + public HoodieSimpleIndex(HoodieWriteConfig config) { + super(config); + } + + /** + * Returns an RDD mapping each HoodieKey with a partitionPath/fileID which contains it. Option.Empty if the key is not + * found. + * + * @param hoodieKeys keys to lookup + * @param jsc spark context + * @param hoodieTable hoodie table object + */ + @Override + public JavaPairRDD<HoodieKey, Option<Pair<String, String>>> fetchRecordLocation(JavaRDD<HoodieKey> hoodieKeys, + JavaSparkContext jsc, HoodieTable<T> hoodieTable) { + JavaPairRDD<String, String> partitionRecordKeyPairRDD = + hoodieKeys.mapToPair(key -> new Tuple2<>(key.getPartitionPath(), key.getRecordKey())); + + // Lookup indexes for all the partition/recordkey pair + JavaPairRDD<HoodieKey, HoodieRecordLocation> recordKeyLocationRDD = + lookupIndex(partitionRecordKeyPairRDD, jsc, hoodieTable); + + JavaPairRDD<HoodieKey, String> keyHoodieKeyPairRDD = hoodieKeys.mapToPair(key -> new Tuple2<>(key, null)); + + return keyHoodieKeyPairRDD.leftOuterJoin(recordKeyLocationRDD).mapToPair(keyLoc -> { + Option<Pair<String, String>> partitionPathFileidPair; + if (keyLoc._2._2.isPresent()) { + partitionPathFileidPair = Option.of(Pair.of(keyLoc._1().getPartitionPath(), keyLoc._2._2.get().getFileId())); + } else { + partitionPathFileidPair = Option.empty(); + } + return new Tuple2<>(keyLoc._1, partitionPathFileidPair); + }); + } + + @Override + public JavaRDD<HoodieRecord<T>> tagLocation(JavaRDD<HoodieRecord<T>> recordRDD, JavaSparkContext jsc, + HoodieTable<T> hoodieTable) { + + // Step 0: cache the input record RDD + if (config.getBloomIndexUseCaching()) { + recordRDD.persist(config.getBloomIndexInputStorageLevel()); + } + + // Step 1: Extract out thinner JavaPairRDD of (partitionPath, recordKey) + JavaPairRDD<String, String> partitionRecordKeyPairRDD = + recordRDD.mapToPair(record -> new Tuple2<>(record.getPartitionPath(), record.getRecordKey())); + + // Lookup indexes for all the partition/recordkey pair + JavaPairRDD<HoodieKey, HoodieRecordLocation> keyFilenamePairRDD = + lookupIndex(partitionRecordKeyPairRDD, jsc, hoodieTable); + + // Cache the result, for subsequent stages. + if (config.getBloomIndexUseCaching()) { + keyFilenamePairRDD.persist(StorageLevel.MEMORY_AND_DISK_SER()); + } + if (LOG.isDebugEnabled()) { + long totalTaggedRecords = keyFilenamePairRDD.count(); + LOG.debug("Number of update records (ones tagged with a fileID): " + totalTaggedRecords); + } + + // Step 4: Tag the incoming records, as inserts or updates, by joining with existing record keys + JavaRDD<HoodieRecord<T>> taggedRecordRDD = tagLocationBacktoRecords(keyFilenamePairRDD, recordRDD); + + if (config.getBloomIndexUseCaching()) { + recordRDD.unpersist(); // unpersist the input Record RDD + keyFilenamePairRDD.unpersist(); + } + return taggedRecordRDD; + } + + @Override + public JavaRDD<WriteStatus> updateLocation(JavaRDD<WriteStatus> writeStatusRDD, JavaSparkContext jsc, + HoodieTable<T> hoodieTable) { + return writeStatusRDD; + } + + @Override + public boolean rollbackCommit(String commitTime) { + // Nope, don't need to do anything. + return true; + } + + /** + * This is not global, since we depend on the partitionPath to do the lookup. + */ + @Override + public boolean isGlobal() { + return false; + } + + /** + * No indexes into log files yet. + */ + @Override + public boolean canIndexLogFiles() { + return false; + } + + /** + * Bloom filters are stored, into the same data files. + */ + @Override + public boolean isImplicitWithStorage() { + return true; + } + + /** + * Lookup the location for each record key and return the pair<record_key,location> for all record keys already + * present and drop the record keys if not present. + */ + private JavaPairRDD<HoodieKey, HoodieRecordLocation> lookupIndex( + JavaPairRDD<String, String> partitionRecordKeyPairRDD, final JavaSparkContext jsc, + final HoodieTable hoodieTable) { + // Obtain records per partition, in the incoming records + Map<String, Long> recordsPerPartition = partitionRecordKeyPairRDD.countByKey(); + List<String> affectedPartitionPathList = new ArrayList<>(recordsPerPartition.keySet()); + + // Step 2: Load all involved files as <Partition, filename> pairs + List<Tuple2<String, String>> fileInfoList = + loadInvolvedFileIds(affectedPartitionPathList, jsc, hoodieTable); + + return findMatchingFilesForRecordKeys(jsc, fileInfoList, partitionRecordKeyPairRDD, hoodieTable); + } + + /** + * Load all involved files as <Partition, filename> pair RDD. + */ + @VisibleForTesting + List<Tuple2<String, String>> loadInvolvedFileIds(List<String> partitions, final JavaSparkContext jsc, + final HoodieTable hoodieTable) { + + // Obtain the latest data files from all the partitions. + List<Pair<String, String>> partitionPathFileIDList = + jsc.parallelize(partitions, Math.max(partitions.size(), 1)).flatMap(partitionPath -> { + Option<HoodieInstant> latestCommitTime = + hoodieTable.getMetaClient().getCommitsTimeline().filterCompletedInstants().lastInstant(); + List<Pair<String, String>> filteredFiles = new ArrayList<>(); + if (latestCommitTime.isPresent()) { + filteredFiles = hoodieTable.getROFileSystemView() + .getLatestDataFilesBeforeOrOn(partitionPath, latestCommitTime.get().getTimestamp()) + .map(f -> Pair.of(partitionPath, f.getFileId())).collect(toList()); + } + return filteredFiles.iterator(); + }).collect(); + return partitionPathFileIDList.stream() + .map(pf -> new Tuple2<>(pf.getKey(), pf.getValue())).collect(toList()); + } + + /** + * Find <HoodieKey, HoodieRecordLocation> for all incoming HoodieKeys + */ + private JavaPairRDD<HoodieKey, HoodieRecordLocation> findMatchingFilesForRecordKeys(JavaSparkContext jsc, + List<Tuple2<String, String>> partitionToFileIndexInfo, + JavaPairRDD<String, String> partitionRecordKeyPairRDD, HoodieTable hoodieTable) { + // Step 1: Create JavaPairRDD< Tuple2<PartitionPath, RecordKey>, Optional<HoodieRecordLocation> > from input with Optional<HoodieRecordLocation> as Empty. + JavaPairRDD<Tuple2<String, String>, Optional<HoodieRecordLocation>> partitionRecordPairs = + partitionRecordKeyPairRDD.mapToPair((PairFunction<Tuple2<String, String>, Tuple2<String, String>, Optional<HoodieRecordLocation>>) stringStringTuple2 + -> new Tuple2(stringStringTuple2, Optional.absent())); + + // Step 2: Create JavaRDD< Tuple2 <Partition, FileId> > from partitions to be touched + JavaRDD<Tuple2<String, String>> partitionFileIdTupleRDD = jsc.parallelize(partitionToFileIndexInfo); + + // Step 3: For each partiion, fileId Tuple -> Fetch RDD of triplets ( Tuple2 <PartitionPath, recordKey>, HoodieRecordLocation ) + JavaRDD<Tuple2<Tuple2<String, String>, Option<HoodieRecordLocation>>> partitionFileIdLocationEntries = partitionFileIdTupleRDD.flatMap(partitionFileIdTuple -> { + HoodieDataFile latestDataFile = getLatestDataFile(hoodieTable, Pair.of(partitionFileIdTuple._1, partitionFileIdTuple._2)); + List<Pair<Pair<String, String>, Option<HoodieRecordLocation>>> resultList = ParquetUtils.fetchRecordKeyPartitionPathFromParquet(hoodieTable.getHadoopConf(), new Path(latestDataFile.getPath()), Review comment: for now.. you can assume this... ---------------------------------------------------------------- This is an automated message from the Apache Git Service. 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