Changes between Version 2 and Version 3 of waue/2011/0708

Timestamp:

Jul 8, 2011, 1:26:54 PM (13 years ago)

Author:

waue

Comment:

--

waue/2011/0708

@@ -24 +24 @@
 > list output_words;
 }}}
+
+
+{{{
+#!java
+
+import java.io.IOException;
+import java.nio.ByteBuffer;
+import java.util.*;
+
+import org.apache.cassandra.thrift.Column;
+import org.apache.cassandra.thrift.ColumnOrSuperColumn;
+import org.apache.cassandra.thrift.Mutation;
+import org.apache.cassandra.hadoop.ColumnFamilyOutputFormat;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import static com.google.common.base.Charsets.UTF_8;
+
+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.
+ *
+ * When outputting to Cassandra, we write the word counts as a {word, count} column/value pair,
+ * with a row key equal to the name of the source column we read the words from.
+ */
+public class WordCount extends Configured implements Tool
+{
+    private static final Logger logger = LoggerFactory.getLogger(WordCount.class);
+
+    static final String KEYSPACE = "wordcount";
+    static final String COLUMN_FAMILY = "input_words";
+
+    static final String OUTPUT_REDUCER_VAR = "output_reducer";
+    static final String OUTPUT_COLUMN_FAMILY = "output_words";
+    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<ByteBuffer, SortedMap<ByteBuffer, IColumn>, Text, IntWritable>
+    {
+        private final static IntWritable one = new IntWritable(1);
+        private Text word = new Text();
+        private ByteBuffer sourceColumn;
+
+        protected void setup(org.apache.hadoop.mapreduce.Mapper.Context context)
+        throws IOException, InterruptedException
+        {
+            sourceColumn = ByteBufferUtil.bytes(context.getConfiguration().get(CONF_COLUMN_NAME));
+        }
+
+        public void map(ByteBuffer key, SortedMap<ByteBuffer, IColumn> columns, Context context) throws IOException, InterruptedException
+        {
+            IColumn column = columns.get(sourceColumn);
+            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);
+            }
+        }
+    }
+
+    public static class ReducerToFilesystem extends Reducer<Text, IntWritable, Text, IntWritable>
+    {
+        public void reduce(Text key, Iterable<IntWritable> values, Context context) throws IOException, InterruptedException
+        {
+            int sum = 0;
+            for (IntWritable val : values)
+                sum += val.get();
+            context.write(key, new IntWritable(sum));
+        }
+    }
+
+    public static class ReducerToCassandra extends Reducer<Text, IntWritable, ByteBuffer, List<Mutation>>
+    {
+        private ByteBuffer outputKey;
+
+        protected void setup(org.apache.hadoop.mapreduce.Reducer.Context context)
+        throws IOException, InterruptedException
+        {
+            outputKey = ByteBufferUtil.bytes(context.getConfiguration().get(CONF_COLUMN_NAME));
+        }
+
+        public void reduce(Text word, Iterable<IntWritable> values, Context context) throws IOException, InterruptedException
+        {
+            int sum = 0;
+            for (IntWritable val : values)
+                sum += val.get();
+            context.write(outputKey, Collections.singletonList(getMutation(word, sum)));
+        }
+
+        private static Mutation getMutation(Text word, int sum)
+        {
+            Column c = new Column();
+            c.setName(Arrays.copyOf(word.getBytes(), word.getLength()));
+            c.setValue(ByteBufferUtil.bytes(String.valueOf(sum)));
+            c.setTimestamp(System.currentTimeMillis());
+
+            Mutation m = new Mutation();
+            m.setColumn_or_supercolumn(new ColumnOrSuperColumn());
+            m.column_or_supercolumn.setColumn(c);
+            return m;
+        }
+    }
+
+    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(ByteBufferUtil.bytes(columnName)));
+            ConfigHelper.setInputSlicePredicate(job.getConfiguration(), predicate);
+
+            job.waitForCompletion(true);
+        }
+        return 0;
+    }
+}
+}}}