blob: 64219ef1de96e1e2e8e9fb03f18f2a80a5f58d5d [file] [log] [blame]
/*
* 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.piggybank.evaluation;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Iterator;
import java.util.List;
import org.apache.pig.EvalFunc;
import org.apache.pig.PigException;
import org.apache.pig.backend.executionengine.ExecException;
import org.apache.pig.data.BagFactory;
import org.apache.pig.data.DataBag;
import org.apache.pig.data.DataType;
import org.apache.pig.data.Tuple;
import org.apache.pig.data.TupleFactory;
import org.apache.pig.impl.logicalLayer.FrontendException;
import org.apache.pig.impl.logicalLayer.schema.Schema;
import org.apache.pig.impl.logicalLayer.schema.Schema.FieldSchema;
/**
* Given a set of bags, stitch them together tuple by tuple. That is,
* assuming the bags have row numbers join them by row number. So given
* two bags
* <p> {(1, 2), (3, 4)} and
* <p> {(5, 6), (7, 8)} the result will be
* <p> {(1, 2, 5, 6), (3, 4, 7, 8)}
* In general it is assumed that each bag has the same number of tuples.
* The implementation uses the first bag to determine the number of tuples
* placed in the output. If bags beyond the first have fewer tuples then
* the resulting tuples will have fewer fields. Nulls will not be filled in.
* <p>Any number of bags can be passed to this function.
*/
public class Stitch extends EvalFunc<DataBag> {
@Override
public DataBag exec(Tuple input) throws IOException {
if (input == null || input.size() == 0) return null;
List<DataBag> bags = new ArrayList<DataBag>(input.size());
for (int i = 0; i < input.size(); i++) {
Object o = input.get(i);
try {
bags.add((DataBag)o);
} catch (ClassCastException cce) {
int errCode = 2107; // TODO not sure this is the right one
String msg = "Stitch expected bags as input but argument " +
i + " is a " + DataType.findTypeName(o);
throw new ExecException(msg, errCode, PigException.INPUT);
}
}
if (bags.size() == 1) return bags.get(0);
DataBag output = BagFactory.getInstance().newDefaultBag();
List<Iterator<Tuple>> iters = new ArrayList<Iterator<Tuple>>(bags.size());
for (DataBag bag : bags) {
iters.add(bag.iterator());
}
while (iters.get(0).hasNext()) {
Tuple outTuple = TupleFactory.getInstance().newTuple();
for (Iterator<Tuple> iter : iters) {
if (iter.hasNext()) {
Tuple t = iter.next();
List<Object> fields = t.getAll();
for (Object field : fields) {
outTuple.append(field);
}
}
}
output.add(outTuple);
}
return output;
}
@Override
public Schema outputSchema(Schema inputSch) {
// We should get a tuple full of bags. Merge the schema of all the
// bags so we get one bag with the unioned schema.
List<FieldSchema> fields = inputSch.getFields();
try {
Schema bagSchema = null;
for (FieldSchema field : fields) {
if (field.type != DataType.BAG) {
throw new RuntimeException( "Only bags should be passed to "
+ "Stitch, schema indicates a " +
DataType.findTypeName(field.type) + " being passed");
}
if (bagSchema == null && field.schema != null ) {
// Copy the schema of this bag, we'll add additional fields
// to it from the other bags
if (field.schema.getField(0).type == DataType.TUPLE) {
// need to go one more level
field = field.schema.getField(0);
}
bagSchema = new Schema(field.schema);
} else if (field.schema != null) {
// Append the fields of this bag to our bag's schema
if (field.schema.getField(0).type == DataType.TUPLE) {
field = field.schema.getField(0);
}
for (FieldSchema fs : field.schema.getFields()) {
bagSchema.add(fs);
}
}
}
FieldSchema outFS =
new FieldSchema("stitched", bagSchema, DataType.BAG);
return new Schema(outFS);
} catch (FrontendException fe) {
throw new RuntimeException("Unable to create nested schema", fe);
}
}
}