/**
* 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.
*/
import java.io.IOException;
import java.nio.ByteBuffer;
import java.util.*;
import org.apache.cassandra.avro.Column;
import org.apache.cassandra.avro.ColumnOrSuperColumn;
import org.apache.cassandra.avro.Mutation;
import org.apache.cassandra.hadoop.ColumnFamilyOutputFormat;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.apache.cassandra.db.IColumn;
import org.apache.cassandra.hadoop.ColumnFamilyInputFormat;
import org.apache.cassandra.hadoop.ConfigHelper;
import org.apache.cassandra.thrift.SlicePredicate;
import org.apache.cassandra.utils.ByteBufferUtil;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.conf.Configured;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.mapreduce.Reducer;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.hadoop.util.Tool;
import org.apache.hadoop.util.ToolRunner;
/**
* This counts the occurrences of words in ColumnFamily Standard1, that has a single column (that we care about)
* "text" containing a sequence of words.
*
* For each word, we output the total number of occurrences across all texts.
*/
public class WordCount extends Configured implements Tool
{
private static final Logger logger = LoggerFactory.getLogger(WordCount.class);
static final String KEYSPACE = "Keyspace1";
static final String COLUMN_FAMILY = "Standard1";
static final String OUTPUT_REDUCER_VAR = "output_reducer";
static final String OUTPUT_COLUMN_FAMILY = "Standard2";
private static final String OUTPUT_PATH_PREFIX = "/tmp/word_count";
private static final String CONF_COLUMN_NAME = "columnname";
public static void main(String[] args) throws Exception
{
// Let ToolRunner handle generic command-line options
ToolRunner.run(new Configuration(), new WordCount(), args);
System.exit(0);
}
public static class TokenizerMapper extends Mapper<byte[], SortedMap<byte[], IColumn>, Text, IntWritable>
{
private final static IntWritable one = new IntWritable(1);
private Text word = new Text();
private String columnName;
public void map(byte[] key, SortedMap<byte[], IColumn> columns, Context context) throws IOException, InterruptedException
{
IColumn column = columns.get(columnName.getBytes());
if (column == null)
return;
String value = ByteBufferUtil.string(column.value());
logger.debug("read " + key + ":" + value + " from " + context.getInputSplit());
StringTokenizer itr = new StringTokenizer(value);
while (itr.hasMoreTokens())
{
word.set(itr.nextToken());
context.write(word, one);
}
}
protected void setup(org.apache.hadoop.mapreduce.Mapper.Context context)
throws IOException, InterruptedException
{
this.columnName = context.getConfiguration().get(CONF_COLUMN_NAME);
}
}
public static class ReducerToFilesystem extends Reducer<Text, IntWritable, Text, IntWritable>
{
private IntWritable result = new IntWritable();
public void reduce(Text key, Iterable<IntWritable> values, Context context) throws IOException, InterruptedException
{
int sum = 0;
for (IntWritable val : values)
{
sum += val.get();
}
result.set(sum);
context.write(key, result);
}
}
public static class ReducerToCassandra extends Reducer<Text, IntWritable, ByteBuffer, List<Mutation>>
{
private List<Mutation> results = new ArrayList<Mutation>();
private String columnName;
public void reduce(Text key, Iterable<IntWritable> values, Context context) throws IOException, InterruptedException
{
int sum = 0;
for (IntWritable val : values)
{
sum += val.get();
}
results.add(getMutation(key, sum));
context.write(ByteBuffer.wrap(columnName.getBytes()), results);
results.clear();
}
protected void setup(org.apache.hadoop.mapreduce.Reducer.Context context)
throws IOException, InterruptedException
{
this.columnName = context.getConfiguration().get(CONF_COLUMN_NAME);
}
private static Mutation getMutation(Text key, int sum)
{
Mutation m = new Mutation();
m.column_or_supercolumn = getCoSC(key, sum);
return m;
}
private static ColumnOrSuperColumn getCoSC(Text key, int sum)
{
// Have to convert both the key and the sum to ByteBuffers
// for the generalized output format
ByteBuffer name = ByteBuffer.wrap(key.getBytes());
ByteBuffer value = ByteBuffer.wrap(String.valueOf(sum).getBytes());
Column c = new Column();
c.name = name;
c.value = value;
c.timestamp = System.currentTimeMillis() * 1000;
c.ttl = 0;
ColumnOrSuperColumn cosc = new ColumnOrSuperColumn();
cosc.column = c;
return cosc;
}
}
public int run(String[] args) throws Exception
{
String outputReducerType = "filesystem";
if (args != null && args[0].startsWith(OUTPUT_REDUCER_VAR))
{
String[] s = args[0].split("=");
if (s != null && s.length == 2)
outputReducerType = s[1];
}
logger.info("output reducer type: " + outputReducerType);
for (int i = 0; i < WordCountSetup.TEST_COUNT; i++)
{
String columnName = "text" + i;
getConf().set(CONF_COLUMN_NAME, columnName);
Job job = new Job(getConf(), "wordcount");
job.setJarByClass(WordCount.class);
job.setMapperClass(TokenizerMapper.class);
if (outputReducerType.equalsIgnoreCase("filesystem"))
{
job.setCombinerClass(ReducerToFilesystem.class);
job.setReducerClass(ReducerToFilesystem.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(IntWritable.class);
FileOutputFormat.setOutputPath(job, new Path(OUTPUT_PATH_PREFIX + i));
}
else
{
job.setReducerClass(ReducerToCassandra.class);
job.setMapOutputKeyClass(Text.class);
job.setMapOutputValueClass(IntWritable.class);
job.setOutputKeyClass(ByteBuffer.class);
job.setOutputValueClass(List.class);
job.setOutputFormatClass(ColumnFamilyOutputFormat.class);
ConfigHelper.setOutputColumnFamily(job.getConfiguration(), KEYSPACE, OUTPUT_COLUMN_FAMILY);
}
job.setInputFormatClass(ColumnFamilyInputFormat.class);
ConfigHelper.setRpcPort(job.getConfiguration(), "9160");
ConfigHelper.setInitialAddress(job.getConfiguration(), "localhost");
ConfigHelper.setPartitioner(job.getConfiguration(), "org.apache.cassandra.dht.RandomPartitioner");
ConfigHelper.setInputColumnFamily(job.getConfiguration(), KEYSPACE, COLUMN_FAMILY);
SlicePredicate predicate = new SlicePredicate().setColumn_names(Arrays.asList(ByteBuffer.wrap(columnName.getBytes())));
ConfigHelper.setInputSlicePredicate(job.getConfiguration(), predicate);
job.waitForCompletion(true);
}
return 0;
}
}