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/*
* 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.pig.builtin;
import java.io.IOException;
import java.io.OutputStream;
import java.util.ArrayList;
import java.util.List;
import java.util.Map.Entry;
import org.apache.avro.Schema;
import org.apache.avro.generic.GenericData;
import org.apache.avro.generic.GenericData.Record;
import org.apache.avro.mapred.AvroJob;
import org.apache.hadoop.fs.FileStatus;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.mapreduce.InputFormat;
import org.apache.hadoop.mapreduce.InputSplit;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.JobContext;
import org.apache.hadoop.mapreduce.OutputFormat;
import org.apache.hadoop.mapreduce.RecordReader;
import org.apache.hadoop.mapreduce.RecordWriter;
import org.apache.hadoop.mapreduce.TaskAttemptContext;
import org.apache.hadoop.mapreduce.lib.input.FileSplit;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.pig.LoadPushDown;
import org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigFileInputFormat;
import org.apache.pig.data.Tuple;
import org.apache.pig.impl.util.avro.AvroRecordWriter;
import org.apache.pig.impl.util.avro.AvroStorageDataConversionUtilities;
import org.apache.trevni.ColumnFileMetaData;
import org.apache.trevni.MetaData;
import org.apache.trevni.avro.AvroColumnReader;
import org.apache.trevni.avro.AvroColumnWriter;
import org.apache.trevni.avro.AvroTrevniOutputFormat;
import org.apache.trevni.avro.HadoopInput;
import com.google.common.collect.Lists;
/**
*
* Pig Store/Load Function for Trevni.
*
*/
public class TrevniStorage extends AvroStorage implements LoadPushDown{
/**
* Create new instance of TrevniStorage with no arguments (useful
* for loading files without specifying parameters).
*/
public TrevniStorage() {
super();
}
/**
* Create new instance of TrevniStorage.
* @param sn Specifies the input/output schema or record name.
* @param opts Options for AvroStorage:
*
-namespace Namespace for an automatically generated
* output schema.
*
-schemafile Specifies URL for avro schema file
* from which to read the input schema (can be local file, hdfs,
* url, etc).
*
-examplefile Specifies URL for avro data file from
* which to copy the input schema (can be local file, hdfs, url, etc).
*
-allowrecursive Option to allow recursive schema
* definitions (default is false).
*/
public TrevniStorage(final String sn, final String opts) {
super(sn, opts);
}
/*
* @see org.apache.pig.LoadFunc#getInputFormat()
*/
@Override
public InputFormat getInputFormat()
throws IOException {
class TrevniStorageInputFormat
extends PigFileInputFormat {
@Override protected boolean isSplitable(JobContext jc, Path p) {
return false;
}
@Override protected List listStatus(final JobContext job)
throws IOException {
List results = Lists.newArrayList();
job.getConfiguration().setBoolean("mapred.input.dir.recursive", true);
for (FileStatus file : super.listStatus(job)) {
if (VISIBLE_FILES.accept(file.getPath())) {
results.add(file);
}
}
return results;
}
@Override
public RecordReader
createRecordReader(final InputSplit is, final TaskAttemptContext tc)
throws IOException, InterruptedException {
RecordReader rr =
new RecordReader() {
private FileSplit fsplit;
private AvroColumnReader.Params params;
private AvroColumnReader reader;
private float rows;
private long row = 0;
private GenericData.Record currentRecord = null;
@Override
public void close() throws IOException {
reader.close();
}
@Override
public NullWritable getCurrentKey()
throws IOException, InterruptedException {
return NullWritable.get();
}
@Override
public Record getCurrentValue()
throws IOException, InterruptedException {
return currentRecord;
}
@Override
public float getProgress()
throws IOException, InterruptedException {
return row / rows;
}
@Override
public void initialize(final InputSplit isplit,
final TaskAttemptContext tac)
throws IOException, InterruptedException {
fsplit = (FileSplit) isplit;
params = new AvroColumnReader.Params(
new HadoopInput(fsplit.getPath(), tac.getConfiguration()));
Schema inputSchema = getInputAvroSchema();
params.setSchema(inputSchema);
reader = new AvroColumnReader(params);
rows = reader.getRowCount();
}
@Override
public boolean nextKeyValue()
throws IOException, InterruptedException {
if (reader.hasNext()) {
currentRecord = reader.next();
row++;
return true;
} else {
return false;
}
}
};
// rr.initialize(is, tc);
tc.setStatus(is.toString());
return rr;
}
}
return new TrevniStorageInputFormat();
}
/*
* @see org.apache.pig.StoreFuncInterface#getOutputFormat()
*/
@Override
public OutputFormat getOutputFormat()
throws IOException {
class TrevniStorageOutputFormat
extends FileOutputFormat {
private Schema schema;
TrevniStorageOutputFormat(final Schema s) {
schema = s;
if (s == null) {
String schemaString = getProperties(
AvroStorage.class, udfContextSignature)
.getProperty(OUTPUT_AVRO_SCHEMA);
if (schemaString != null) {
schema = (new Schema.Parser()).parse(schemaString);
}
}
}
@Override
public RecordWriter
getRecordWriter(final TaskAttemptContext tc)
throws IOException, InterruptedException {
if (schema == null) {
String schemaString = getProperties(
AvroStorage.class, udfContextSignature)
.getProperty(OUTPUT_AVRO_SCHEMA);
if (schemaString != null) {
schema = (new Schema.Parser()).parse(schemaString);
}
if (schema == null) {
throw new IOException("Null output schema");
}
}
final ColumnFileMetaData meta = new ColumnFileMetaData();
for (Entry e : tc.getConfiguration()) {
if (e.getKey().startsWith(
org.apache.trevni.avro.AvroTrevniOutputFormat.META_PREFIX)) {
meta.put(e.getKey().substring(AvroJob.TEXT_PREFIX.length()),
e.getValue().getBytes(MetaData.UTF8));
}
}
final Path dir = getOutputPath(tc);
final FileSystem fs = FileSystem.get(tc.getConfiguration());
final long blockSize = fs.getDefaultBlockSize();
if (!fs.mkdirs(dir)) {
throw new IOException("Failed to create directory: " + dir);
}
meta.setCodec("deflate");
return new AvroRecordWriter(dir, tc.getConfiguration()) {
private int part = 0;
private Schema avroRecordWriterSchema;
private AvroColumnWriter writer;
private void flush() throws IOException {
Integer taskAttemptId = tc.getTaskAttemptID().getTaskID().getId();
String partName = String.format("%05d_%03d", taskAttemptId, part++);
OutputStream out = fs.create(
new Path(dir, "part-" + partName + AvroTrevniOutputFormat.EXT));
try {
writer.writeTo(out);
} finally {
out.flush();
out.close();
}
}
@Override
public void close(final TaskAttemptContext arg0)
throws IOException, InterruptedException {
flush();
}
@Override
public void write(final NullWritable n, final Object o)
throws IOException, InterruptedException {
GenericData.Record r =
AvroStorageDataConversionUtilities
.packIntoAvro((Tuple) o, schema);
writer.write(r);
if (writer.sizeEstimate() >= blockSize) {
flush();
writer = new AvroColumnWriter(
avroRecordWriterSchema, meta);
}
}
@Override
public void prepareToWrite(Schema s) throws IOException {
avroRecordWriterSchema = s;
writer = new AvroColumnWriter(
avroRecordWriterSchema, meta);
}
};
}
}
return new TrevniStorageOutputFormat(schema);
}
@Override
public Schema getAvroSchema(Path p[], final Job job) throws IOException {
ArrayList statusList = new ArrayList();
FileSystem fs = FileSystem.get(p[0].toUri(), job.getConfiguration());
for (Path temp : p) {
for (FileStatus tempf : fs.globStatus(temp, VISIBLE_FILES)) {
statusList.add(tempf);
}
}
FileStatus[] statusArray = (FileStatus[]) statusList
.toArray(new FileStatus[statusList.size()]);
if (statusArray == null) {
throw new IOException("Path " + p.toString() + " does not exist.");
}
if (statusArray.length == 0) {
throw new IOException("No path matches pattern " + p.toString());
}
Path filePath = depthFirstSearchForFile(statusArray, fs);
if (filePath == null) {
throw new IOException("No path matches pattern " + p.toString());
}
AvroColumnReader.Params params =
new AvroColumnReader.Params(
new HadoopInput(filePath, job.getConfiguration()));
AvroColumnReader reader =
new AvroColumnReader(params);
Schema s = reader.getFileSchema();
reader.close();
return s;
}
}
