/* * 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 parquet.avro; import java.util.LinkedHashMap; import java.util.Map; import org.apache.avro.Schema; import org.apache.avro.generic.IndexedRecord; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.util.ReflectionUtils; import parquet.hadoop.api.ReadSupport; import parquet.io.api.RecordMaterializer; import parquet.schema.MessageType; /** * Avro implementation of {@link ReadSupport} for Avro {@link IndexedRecord}s which cover both Avro Specific and * Generic. Users should use {@link AvroParquetReader} or {@link AvroParquetInputFormat} rather than using * this class directly. */ public class AvroReadSupport<T extends IndexedRecord> extends ReadSupport<T> { public static String AVRO_REQUESTED_PROJECTION = "parquet.avro.projection"; private static final String AVRO_READ_SCHEMA = "parquet.avro.read.schema"; static final String AVRO_SCHEMA_METADATA_KEY = "avro.schema"; private static final String AVRO_READ_SCHEMA_METADATA_KEY = "avro.read.schema"; public static String AVRO_DATA_SUPPLIER = "parquet.avro.data.supplier"; /** * @see parquet.avro.AvroParquetInputFormat#setRequestedProjection(org.apache.hadoop.mapreduce.Job, org.apache.avro.Schema) */ public static void setRequestedProjection(Configuration configuration, Schema requestedProjection) { configuration.set(AVRO_REQUESTED_PROJECTION, requestedProjection.toString()); } /** * @see parquet.avro.AvroParquetInputFormat#setAvroReadSchema(org.apache.hadoop.mapreduce.Job, org.apache.avro.Schema) */ public static void setAvroReadSchema(Configuration configuration, Schema avroReadSchema) { configuration.set(AVRO_READ_SCHEMA, avroReadSchema.toString()); } public static void setAvroDataSupplier(Configuration configuration, Class<? extends AvroDataSupplier> clazz) { configuration.set(AVRO_DATA_SUPPLIER, clazz.toString()); } @Override public ReadContext init(Configuration configuration, Map<String, String> keyValueMetaData, MessageType fileSchema) { MessageType schema = fileSchema; Map<String, String> metadata = null; String requestedProjectionString = configuration.get(AVRO_REQUESTED_PROJECTION); if (requestedProjectionString != null) { Schema avroRequestedProjection = new Schema.Parser().parse(requestedProjectionString); schema = new AvroSchemaConverter().convert(avroRequestedProjection); } String avroReadSchema = configuration.get(AVRO_READ_SCHEMA); if (avroReadSchema != null) { metadata = new LinkedHashMap<String, String>(); metadata.put(AVRO_READ_SCHEMA_METADATA_KEY, avroReadSchema); } // use getSchemaForRead because it checks that the requested schema is a // subset of the columns in the file schema return new ReadContext(getSchemaForRead(fileSchema, schema), metadata); } @Override public RecordMaterializer<T> prepareForRead(Configuration configuration, Map<String, String> keyValueMetaData, MessageType fileSchema, ReadContext readContext) { MessageType parquetSchema = readContext.getRequestedSchema(); Schema avroSchema; if (readContext.getReadSupportMetadata() != null && readContext.getReadSupportMetadata().get(AVRO_READ_SCHEMA_METADATA_KEY) != null) { // use the Avro read schema provided by the user avroSchema = new Schema.Parser().parse(readContext.getReadSupportMetadata().get(AVRO_READ_SCHEMA_METADATA_KEY)); } else if (keyValueMetaData.get(AVRO_SCHEMA_METADATA_KEY) != null) { // use the Avro schema from the file metadata if present avroSchema = new Schema.Parser().parse(keyValueMetaData.get(AVRO_SCHEMA_METADATA_KEY)); } else { // default to converting the Parquet schema into an Avro schema avroSchema = new AvroSchemaConverter().convert(parquetSchema); } Class<? extends AvroDataSupplier> suppClass = configuration.getClass(AVRO_DATA_SUPPLIER, SpecificDataSupplier.class, AvroDataSupplier.class); AvroDataSupplier supplier =ReflectionUtils.newInstance(suppClass, configuration); return new AvroRecordMaterializer<T>(parquetSchema, avroSchema, supplier.get()); } }