/**
* Copyright 2012 LiveRamp
*
* Licensed 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 com.liveramp.cascading_ext.example;
import cascading.flow.Flow;
import cascading.flow.hadoop.HadoopFlowConnector;
import cascading.pipe.Pipe;
import cascading.scheme.hadoop.SequenceFile;
import cascading.tap.Tap;
import cascading.tap.hadoop.Hfs;
import cascading.tuple.Fields;
import cascading.tuple.TupleEntryIterator;
import com.liveramp.cascading_ext.CascadingUtil;
import com.liveramp.cascading_ext.assembly.BloomJoin;
import com.liveramp.cascading_ext.bloom.BloomAssemblyStrategy;
import com.liveramp.cascading_ext.bloom.BloomProps;
import java.io.IOException;
import java.util.HashMap;
import java.util.Map;
/**
* An example of how to use the BloomJoin class if for whatever reason you can't run the job using CascadingUtil.
* The only additional steps needed are setting some default properties and attaching the FlowStepStrategy manually.
* <p/>
* In practice this isn't nearly enough data to warrant using BloomJoin, but it will work fine for a test job.
*/
public class BloomJoinExampleWithoutCascadingUtil {
public static void main(String[] args) throws IOException {
if (args.length != 1) {
System.out.println("Usage: hadoop jar cascading_ext.job.jar com.liveramp.cascading_ext.example.BloomJoinExampleWithoutCascadingUtil <output dir>");
return;
}
String outputDir = args[0];
Hfs sink = new Hfs(new SequenceFile(new Fields("field1", "field2", "field3", "field4")), outputDir);
Pipe source1 = new Pipe("source1");
Pipe source2 = new Pipe("source2");
Pipe joined = new BloomJoin(source1, new Fields("field1"),
source2, new Fields("field3"));
Map<String, Tap> sources = new HashMap<String, Tap>();
sources.put("source1", ExampleFixtures.SOURCE_TAP_1);
sources.put("source2", ExampleFixtures.SOURCE_TAP_2);
// set some default properties and set the flow step strategy
Flow f = new HadoopFlowConnector(BloomProps.getDefaultProperties()).connect("Example BloomJoin", sources, sink, joined);
f.setFlowStepStrategy(new BloomAssemblyStrategy());
f.complete();
// Take a look at the output tuples
TupleEntryIterator output = sink.openForRead(CascadingUtil.get().getFlowProcess());
System.out.println("Output tuples from flow:");
while (output.hasNext()) {
System.out.println(output.next().getTuple());
}
}
}