nsivabalan commented on code in PR #8758: URL: https://github.com/apache/hudi/pull/8758#discussion_r1198316621
########## hudi-client/hudi-spark-client/src/main/java/org/apache/hudi/index/SparkMetadataTableRecordIndex.java: ########## @@ -0,0 +1,220 @@ +/* + * 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; + +import org.apache.hadoop.conf.Configuration; +import org.apache.hudi.client.WriteStatus; +import org.apache.hudi.common.data.HoodieData; +import org.apache.hudi.common.data.HoodiePairData; +import org.apache.hudi.common.engine.HoodieEngineContext; +import org.apache.hudi.common.model.HoodieAvroRecord; +import org.apache.hudi.common.model.HoodieKey; +import org.apache.hudi.common.model.HoodieRecord; +import org.apache.hudi.common.model.HoodieRecordGlobalLocation; +import org.apache.hudi.common.model.HoodieRecordPayload; +import org.apache.hudi.common.table.HoodieTableMetaClient; +import org.apache.hudi.common.table.timeline.HoodieTimeline; +import org.apache.hudi.common.table.view.HoodieTableFileSystemView; +import org.apache.hudi.common.util.Option; +import org.apache.hudi.common.util.ValidationUtils; +import org.apache.hudi.common.util.collection.ImmutablePair; +import org.apache.hudi.config.HoodieIndexConfig; +import org.apache.hudi.config.HoodieWriteConfig; +import org.apache.hudi.data.HoodieJavaPairRDD; +import org.apache.hudi.data.HoodieJavaRDD; +import org.apache.hudi.exception.HoodieIndexException; +import org.apache.hudi.exception.TableNotFoundException; +import org.apache.hudi.metadata.HoodieTableMetadata; +import org.apache.hudi.metadata.HoodieTableMetadataUtil; +import org.apache.hudi.metadata.MetadataPartitionType; +import org.apache.hudi.table.HoodieTable; +import org.apache.spark.api.java.JavaRDD; +import org.apache.spark.api.java.function.PairFlatMapFunction; +import org.apache.spark.sql.execution.PartitionIdPassthrough; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; +import scala.Tuple2; + +import java.util.ArrayList; +import java.util.Iterator; +import java.util.List; +import java.util.Map; + +import static org.apache.hudi.common.table.timeline.HoodieTimeline.GREATER_THAN; + +/** + * Hoodie Index implementation backed by the record index present in the Metadata Table. + */ +public class SparkMetadataTableRecordIndex extends HoodieIndex<Object, Object> { + + private static final Logger LOG = LoggerFactory.getLogger(SparkMetadataTableRecordIndex.class); + + public SparkMetadataTableRecordIndex(HoodieWriteConfig config) { + super(config); + } + + @Override + public <R> HoodieData<HoodieRecord<R>> tagLocation(HoodieData<HoodieRecord<R>> records, HoodieEngineContext context, HoodieTable hoodieTable) throws HoodieIndexException { + int fileGroupSize; + try { + ValidationUtils.checkState(hoodieTable.getMetaClient().getTableConfig().isMetadataPartitionEnabled(MetadataPartitionType.RECORD_INDEX)); + fileGroupSize = HoodieTableMetadataUtil.getPartitionLatestMergedFileSlices(hoodieTable.getMetaClient(), (HoodieTableFileSystemView) hoodieTable.getFileSystemView(), + MetadataPartitionType.RECORD_INDEX.getPartitionPath()).size(); + ValidationUtils.checkState(fileGroupSize > 0, "Record index should have at least one file group"); + } catch (TableNotFoundException | IllegalStateException e) { + // This means that record index has not been initialized. Fallback to another index so that tagLocation is still accurate and there are no duplicates. + // Fallback index needs to be a global index like record index. + HoodieIndex.IndexType fallbackIndexType = IndexType.SIMPLE; + LOG.warn(String.format("Record index not initialized so falling back to %s for tagging records", fallbackIndexType.name())); + HoodieWriteConfig otherConfig = HoodieWriteConfig.newBuilder().withProperties(config.getProps()) + .withIndexConfig(HoodieIndexConfig.newBuilder().withIndexType(fallbackIndexType).build()).build(); + HoodieIndex fallbackIndex = SparkHoodieIndexFactory.createIndex(otherConfig); + return fallbackIndex.tagLocation(records, context, hoodieTable); + } + + // final variable required for lamda functions below + final int numFileGroups = fileGroupSize; + + // Partition the record keys to lookup such that each partition looks up one record index shard Review Comment: don't we need to cache the `records` here. If not, when we do tagLocationBackToRecords, won't we trigger the dag twice which means, we consume from source multiple times? -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
