Java tutorial
/** * 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.crunch.io.avro.trevni; import com.google.common.collect.Iterators; import com.google.common.collect.UnmodifiableIterator; import org.apache.avro.Schema; import org.apache.avro.generic.GenericData; import org.apache.avro.reflect.ReflectData; import org.apache.avro.specific.SpecificData; import org.apache.commons.logging.Log; import org.apache.commons.logging.LogFactory; import org.apache.crunch.CrunchRuntimeException; import org.apache.crunch.MapFn; import org.apache.crunch.fn.IdentityFn; import org.apache.crunch.io.FileReaderFactory; import org.apache.crunch.io.impl.AutoClosingIterator; import org.apache.crunch.types.avro.AvroType; import org.apache.crunch.types.avro.Avros; import org.apache.hadoop.fs.FileSystem; import org.apache.hadoop.fs.Path; import org.apache.trevni.Input; import org.apache.trevni.avro.AvroColumnReader; import org.apache.trevni.avro.HadoopInput; import java.io.IOException; import java.util.Iterator; public class TrevniFileReaderFactory<T> implements FileReaderFactory<T> { private static final Log LOG = LogFactory.getLog(TrevniFileReaderFactory.class); private final AvroType<T> aType; private final MapFn<T, T> mapFn; private final Schema schema; public TrevniFileReaderFactory(AvroType<T> atype) { this.aType = atype; schema = atype.getSchema(); this.mapFn = (MapFn<T, T>) atype.getInputMapFn(); } public TrevniFileReaderFactory(Schema schema) { this.aType = null; this.schema = schema; this.mapFn = IdentityFn.<T>getInstance(); } static <T> AvroColumnReader<T> getReader(Input input, AvroType<T> avroType, Schema schema) { AvroColumnReader.Params params = new AvroColumnReader.Params(input); params.setSchema(schema); if (avroType.hasReflect()) { if (avroType.hasSpecific()) { Avros.checkCombiningSpecificAndReflectionSchemas(); } params.setModel(ReflectData.get()); } else if (avroType.hasSpecific()) { params.setModel(SpecificData.get()); } else { params.setModel(GenericData.get()); } try { return new AvroColumnReader<T>(params); } catch (IOException e) { throw new CrunchRuntimeException(e); } } @Override public Iterator<T> read(FileSystem fs, final Path path) { this.mapFn.initialize(); try { HadoopInput input = new HadoopInput(path, fs.getConf()); final AvroColumnReader<T> reader = getReader(input, aType, schema); return new AutoClosingIterator<T>(reader, new UnmodifiableIterator<T>() { @Override public boolean hasNext() { return reader.hasNext(); } @Override public T next() { return mapFn.map(reader.next()); } }); } catch (IOException e) { LOG.info("Could not read avro file at path: " + path, e); return Iterators.emptyIterator(); } } }