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/*
 *  Copyright (c) 2017 Uber Technologies, Inc. ([email protected])
 *
 *  Licensed 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 com.uber.hoodie.index.bucketed;

import com.google.common.base.Optional;
import com.uber.hoodie.WriteStatus;
import com.uber.hoodie.common.model.HoodieKey;
import com.uber.hoodie.common.model.HoodieRecord;
import com.uber.hoodie.common.model.HoodieRecordLocation;
import com.uber.hoodie.common.model.HoodieRecordPayload;
import com.uber.hoodie.config.HoodieWriteConfig;
import com.uber.hoodie.exception.HoodieIndexException;
import com.uber.hoodie.index.HoodieIndex;
import com.uber.hoodie.table.HoodieTable;
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 scala.Tuple2;

/**
 * An `stateless` index implementation that will using a deterministic mapping function to determine
 * the fileID for a given record.
 * 

* Pros: - Fast *

* Cons : - Need to tune the number of buckets per partition path manually (FIXME: Need to autotune * this) - Could increase write amplification on copy-on-write storage since inserts always rewrite * files - Not global. */ public class BucketedIndex extends HoodieIndex { private static Logger logger = LogManager.getLogger(BucketedIndex.class); public BucketedIndex(HoodieWriteConfig config, JavaSparkContext jsc) { super(config, jsc); } private String getBucket(String recordKey) { return String.valueOf(recordKey.hashCode() % config.getNumBucketsPerPartition()); } @Override public JavaPairRDD> fetchRecordLocation(JavaRDD hoodieKeys, HoodieTable table) { return hoodieKeys.mapToPair(hk -> new Tuple2<>(hk, Optional.of(getBucket(hk.getRecordKey())))); } @Override public JavaRDD> tagLocation(JavaRDD> recordRDD, HoodieTable hoodieTable) throws HoodieIndexException { return recordRDD.map(record -> { String bucket = getBucket(record.getRecordKey()); //HACK(vc) a non-existent commit is provided here. record.setCurrentLocation(new HoodieRecordLocation("000", bucket)); return record; }); } @Override public JavaRDD updateLocation(JavaRDD writeStatusRDD, HoodieTable hoodieTable) throws HoodieIndexException { return writeStatusRDD; } @Override public boolean rollbackCommit(String commitTime) { // nothing to rollback in the index. return true; } /** * Bucketing is still done within each partition. */ @Override public boolean isGlobal() { return false; } /** * Since indexing is just a deterministic hash, we can identify file group correctly even without * an index on the actual log file. */ @Override public boolean canIndexLogFiles() { return true; } /** * Indexing is just a hash function. */ @Override public boolean isImplicitWithStorage() { return true; } }





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