linliu-code commented on code in PR #10263: URL: https://github.com/apache/hudi/pull/10263#discussion_r1423158914
########## hudi-common/src/test/java/org/apache/hudi/common/testutils/reader/HoodieFileSliceTestUtils.java: ########## @@ -0,0 +1,437 @@ +/* + * 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.testutils.reader; + +import org.apache.hudi.avro.HoodieAvroWriteSupport; +import org.apache.hudi.common.bloom.BloomFilter; +import org.apache.hudi.common.bloom.BloomFilterFactory; +import org.apache.hudi.common.bloom.BloomFilterTypeCode; +import org.apache.hudi.common.config.TypedProperties; +import org.apache.hudi.common.engine.LocalTaskContextSupplier; +import org.apache.hudi.common.model.DeleteRecord; +import org.apache.hudi.common.model.FileSlice; +import org.apache.hudi.common.model.HoodieAvroIndexedRecord; +import org.apache.hudi.common.model.HoodieBaseFile; +import org.apache.hudi.common.model.HoodieFileGroupId; +import org.apache.hudi.common.model.HoodieKey; +import org.apache.hudi.common.model.HoodieLogFile; +import org.apache.hudi.common.model.HoodieRecord; +import org.apache.hudi.common.table.log.HoodieLogFormat; +import org.apache.hudi.common.table.log.block.HoodieAvroDataBlock; +import org.apache.hudi.common.table.log.block.HoodieCDCDataBlock; +import org.apache.hudi.common.table.log.block.HoodieDataBlock; +import org.apache.hudi.common.table.log.block.HoodieDeleteBlock; +import org.apache.hudi.common.table.log.block.HoodieHFileDataBlock; +import org.apache.hudi.common.table.log.block.HoodieLogBlock; +import org.apache.hudi.common.table.log.block.HoodieParquetDataBlock; +import org.apache.hudi.common.testutils.HoodieTestDataGenerator; +import org.apache.hudi.common.util.Option; +import org.apache.hudi.common.util.collection.Pair; +import org.apache.hudi.io.storage.HoodieAvroParquetWriter; +import org.apache.hudi.io.storage.HoodieParquetConfig; + +import org.apache.avro.Schema; +import org.apache.avro.generic.IndexedRecord; +import org.apache.hadoop.conf.Configuration; +import org.apache.hadoop.fs.FileSystem; +import org.apache.hadoop.fs.Path; +import org.apache.hadoop.hbase.io.compress.Compression; +import org.apache.parquet.avro.AvroSchemaConverter; +import org.apache.parquet.hadoop.ParquetWriter; +import org.apache.parquet.hadoop.metadata.CompressionCodecName; + +import java.io.IOException; +import java.util.ArrayList; +import java.util.HashMap; +import java.util.List; +import java.util.Map; +import java.util.Properties; +import java.util.UUID; +import java.util.stream.Collectors; +import java.util.stream.IntStream; + +import static org.apache.hudi.common.table.log.block.HoodieLogBlock.HoodieLogBlockType.DELETE_BLOCK; +import static org.apache.hudi.common.table.log.block.HoodieLogBlock.HoodieLogBlockType.PARQUET_DATA_BLOCK; +import static org.apache.hudi.common.testutils.FileCreateUtils.baseFileName; +import static org.apache.hudi.common.testutils.FileCreateUtils.logFileName; +import static org.apache.hudi.common.testutils.HoodieTestDataGenerator.AVRO_SCHEMA; +import static org.apache.hudi.common.testutils.reader.DataGenerationPlan.OperationType.DELETE; +import static org.apache.hudi.common.testutils.reader.DataGenerationPlan.OperationType.INSERT; + +public class HoodieFileSliceTestUtils { + public static final String FORWARD_SLASH = "/"; + public static final String PERIOD = "."; + public static final String PARQUET = ".parquet"; + public static final String ROW_KEY = "_row_key"; + public static final String PARTITION_PATH = "partition_path"; + public static final String RIDER = "rider"; + public static final String DRIVER = "driver"; + public static final String TIMESTAMP = "timestamp"; + public static final HoodieTestDataGenerator DATA_GEN = + new HoodieTestDataGenerator(0xDEED); + + // We use a number to represent a record key, and a (start, end) range + // to represent a set of record keys between start <= k <= end. + public static class KeyRange { + public int start; + public int end; + + public KeyRange(int start, int end) { + this.start = start; + this.end = end; + } + } + + private static Path generateBaseFilePath( + String basePath, + String fileId, + String instantTime + ) { + return new Path( + basePath + FORWARD_SLASH + + baseFileName(instantTime, fileId, PARQUET)); + } + + private static Path generateLogFilePath( + String basePath, + String fileId, + String instantTime, + int version) { + return new Path( + basePath + FORWARD_SLASH + logFileName( + instantTime, fileId, version)); + } + + // Note: + // "start < end" means start <= k <= end. + // "start == end" means k = start. + // "start > end" means no keys. + private static List<String> generateKeys(KeyRange range) { + List<String> keys = new ArrayList<>(); + if (range.start == range.end) { + keys.add(String.valueOf(range.start)); + } else { + keys = IntStream + .rangeClosed(range.start, range.end) + .boxed() + .map(String::valueOf).collect(Collectors.toList()); + } + return keys; + } + + private static List<IndexedRecord> generateRecords(DataGenerationPlan plan) { + List<IndexedRecord> records = new ArrayList<>(); + List<String> keys = plan.getRecordKeys(); + for (String key : keys) { + records.add(DATA_GEN.generateGenericRecord( + key, + plan.getPartitionPath(), + RIDER + PERIOD + UUID.randomUUID().toString(), + DRIVER + PERIOD + UUID.randomUUID().toString(), + plan.getTimestamp(), + plan.getOperationType() == DELETE, + false + )); + } + return records; + } + + private static HoodieDataBlock getDataBlock( + HoodieLogBlock.HoodieLogBlockType dataBlockType, + List<IndexedRecord> records, + Map<HoodieLogBlock.HeaderMetadataType, String> header, + Path logFilePath + ) { + return createDataBlock( + dataBlockType, + records.stream().map(HoodieAvroIndexedRecord::new) + .collect(Collectors.toList()), + header, + logFilePath); + } + + private static HoodieDataBlock createDataBlock( + HoodieLogBlock.HoodieLogBlockType dataBlockType, + List<HoodieRecord> records, + Map<HoodieLogBlock.HeaderMetadataType, String> header, + Path pathForReader + ) { + switch (dataBlockType) { + case CDC_DATA_BLOCK: + return new HoodieCDCDataBlock( + records, + header, + HoodieRecord.RECORD_KEY_METADATA_FIELD); + case AVRO_DATA_BLOCK: + return new HoodieAvroDataBlock( + records, + false, + header, + HoodieRecord.RECORD_KEY_METADATA_FIELD); + case HFILE_DATA_BLOCK: + return new HoodieHFileDataBlock( + records, + header, + Compression.Algorithm.GZ, + pathForReader); + case PARQUET_DATA_BLOCK: + return new HoodieParquetDataBlock( + records, + false, + header, + HoodieRecord.RECORD_KEY_METADATA_FIELD, + CompressionCodecName.GZIP, + 0.1, + true); + default: + throw new RuntimeException( + "Unknown data block type " + dataBlockType); + } + } + + public static HoodieDeleteBlock getDeleteBlock( + List<IndexedRecord> records, + Map<HoodieLogBlock.HeaderMetadataType, String> header, + Schema schema, + Properties props + ) { + List<HoodieRecord> hoodieRecords = records.stream() + .map(r -> { + String rowKey = (String) r.get(r.getSchema().getField(ROW_KEY).pos()); + String partitionPath = (String) r.get(r.getSchema().getField(PARTITION_PATH).pos()); + return new HoodieAvroIndexedRecord(new HoodieKey(rowKey, partitionPath), r); + }) + .collect(Collectors.toList()); + return new HoodieDeleteBlock( + hoodieRecords.stream().map( + r -> Pair.of(DeleteRecord.create( + r.getKey(), r.getOrderingValue(schema, props)), -1L)) + .collect(Collectors.toList()), + false, + header + ); + } + + public static HoodieBaseFile createBaseFile( + String baseFilePath, + List<IndexedRecord> records, + Schema schema, + String baseInstantTime + ) throws IOException { + Configuration hadoopConf = new Configuration(); + + BloomFilter filter = BloomFilterFactory.createBloomFilter( + 1000, + 0.0001, + 10000, + BloomFilterTypeCode.DYNAMIC_V0.name()); + HoodieAvroWriteSupport<IndexedRecord> writeSupport = new HoodieAvroWriteSupport<>( + new AvroSchemaConverter().convert(schema), + schema, + Option.of(filter), + new Properties()); + HoodieParquetConfig<HoodieAvroWriteSupport> parquetConfig = new HoodieParquetConfig( + writeSupport, + CompressionCodecName.GZIP, + ParquetWriter.DEFAULT_BLOCK_SIZE, + ParquetWriter.DEFAULT_PAGE_SIZE, + 1024 * 1024 * 1024, + hadoopConf, + 0.1, + true); + Review Comment: Added a task to track this problem: [HUDI-7214](https://issues.apache.org/jira/browse/HUDI-7214) -- This is an automated message from the Apache Git Service. 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