org.apache.pig.builtin.PluckTuple Maven / Gradle / Ivy
/**
* 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.util.List;
import org.apache.pig.EvalFunc;
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 com.google.common.collect.Lists;
/**
* This is a UDF which allows the user to specify a string prefix, and then
* filter for the columns in a relation that begin with that prefix.
*
* Example:
* a = load 'a' as (x, y);
* b = load 'b' as (x, y);
* c = join a by x, b by x;
* DEFINE pluck PluckTuple('a::');
* d = foreach c generate FLATTEN(pluck(*));
* describe c;
* c: {a::x: bytearray,a::y: bytearray,b::x: bytearray,b::y: bytearray}
* describe d;
* d: {plucked::a::x: bytearray,plucked::a::y: bytearray}
*/
public class PluckTuple extends EvalFunc {
private static final TupleFactory mTupleFactory = TupleFactory.getInstance();
private boolean isInitialized = false;
private int[] indicesToInclude;
private String prefix;
public PluckTuple(String prefix) {
this.prefix = prefix;
}
@Override
public Tuple exec(Tuple input) throws IOException {
if (!isInitialized) {
List indicesToInclude = Lists.newArrayList();
Schema inputSchema = getInputSchema();
for (int i = 0; i < inputSchema.size(); i++) {
String alias = inputSchema.getField(i).alias;
if (alias.startsWith(prefix)) {
indicesToInclude.add(i);
}
}
this.indicesToInclude = new int[indicesToInclude.size()];
int idx = 0;
for (int val : indicesToInclude) {
this.indicesToInclude[idx++] = val;
}
isInitialized = true;
}
Tuple result = mTupleFactory.newTuple(indicesToInclude.length);
int idx = 0;
for (int val : indicesToInclude) {
result.set(idx++, input.get(val));
}
return result;
}
public Schema outputSchema(Schema inputSchema) {
if (!isInitialized) {
List indicesToInclude = Lists.newArrayList();
for (int i = 0; i < inputSchema.size(); i++) {
String alias;
try {
alias = inputSchema.getField(i).alias;
} catch (FrontendException e) {
throw new RuntimeException(e); // Should never happen
}
if (alias.startsWith(prefix)) {
indicesToInclude.add(i);
}
}
this.indicesToInclude = new int[indicesToInclude.size()];
int idx = 0;
for (int val : indicesToInclude) {
this.indicesToInclude[idx++] = val;
}
isInitialized = true;
}
Schema outputSchema = new Schema();
for (int val : indicesToInclude) {
try {
outputSchema.add(inputSchema.getField(val));
} catch (FrontendException e) {
throw new RuntimeException(e);
}
}
try {
return new Schema(new Schema.FieldSchema("plucked", outputSchema, DataType.TUPLE));
} catch (FrontendException e) {
throw new RuntimeException(e); // Should never happen
}
}
}