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7org.apache.hadoop.mapred.lib.aggregate (Hadoop 0.20.1 API)
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83Package org.apache.hadoop.mapred.lib.aggregate
84</H2>
85Classes for performing various counting and aggregations.
86<P>
87<B>See:</B>
88<BR>
89&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<A HREF="#package_description"><B>Description</B></A>
90<P>
91
92<TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY="">
93<TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor">
94<TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2">
95<B>Interface Summary</B></FONT></TH>
96</TR>
97<TR BGCOLOR="white" CLASS="TableRowColor">
98<TD WIDTH="15%"><B><A HREF="../../../../../../org/apache/hadoop/mapred/lib/aggregate/ValueAggregator.html" title="interface in org.apache.hadoop.mapred.lib.aggregate">ValueAggregator</A></B></TD>
99<TD>This interface defines the minimal protocol for value aggregators.</TD>
100</TR>
101<TR BGCOLOR="white" CLASS="TableRowColor">
102<TD WIDTH="15%"><B><A HREF="../../../../../../org/apache/hadoop/mapred/lib/aggregate/ValueAggregatorDescriptor.html" title="interface in org.apache.hadoop.mapred.lib.aggregate">ValueAggregatorDescriptor</A></B></TD>
103<TD>This interface defines the contract a value aggregator descriptor must
104 support.</TD>
105</TR>
106</TABLE>
107&nbsp;
108
109<P>
110
111<TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY="">
112<TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor">
113<TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2">
114<B>Class Summary</B></FONT></TH>
115</TR>
116<TR BGCOLOR="white" CLASS="TableRowColor">
117<TD WIDTH="15%"><B><A HREF="../../../../../../org/apache/hadoop/mapred/lib/aggregate/DoubleValueSum.html" title="class in org.apache.hadoop.mapred.lib.aggregate">DoubleValueSum</A></B></TD>
118<TD>This class implements a value aggregator that sums up a sequence of double
119 values.</TD>
120</TR>
121<TR BGCOLOR="white" CLASS="TableRowColor">
122<TD WIDTH="15%"><B><A HREF="../../../../../../org/apache/hadoop/mapred/lib/aggregate/LongValueMax.html" title="class in org.apache.hadoop.mapred.lib.aggregate">LongValueMax</A></B></TD>
123<TD>This class implements a value aggregator that maintain the maximum of
124 a sequence of long values.</TD>
125</TR>
126<TR BGCOLOR="white" CLASS="TableRowColor">
127<TD WIDTH="15%"><B><A HREF="../../../../../../org/apache/hadoop/mapred/lib/aggregate/LongValueMin.html" title="class in org.apache.hadoop.mapred.lib.aggregate">LongValueMin</A></B></TD>
128<TD>This class implements a value aggregator that maintain the minimum of
129 a sequence of long values.</TD>
130</TR>
131<TR BGCOLOR="white" CLASS="TableRowColor">
132<TD WIDTH="15%"><B><A HREF="../../../../../../org/apache/hadoop/mapred/lib/aggregate/LongValueSum.html" title="class in org.apache.hadoop.mapred.lib.aggregate">LongValueSum</A></B></TD>
133<TD>This class implements a value aggregator that sums up
134 a sequence of long values.</TD>
135</TR>
136<TR BGCOLOR="white" CLASS="TableRowColor">
137<TD WIDTH="15%"><B><A HREF="../../../../../../org/apache/hadoop/mapred/lib/aggregate/StringValueMax.html" title="class in org.apache.hadoop.mapred.lib.aggregate">StringValueMax</A></B></TD>
138<TD>This class implements a value aggregator that maintain the biggest of
139 a sequence of strings.</TD>
140</TR>
141<TR BGCOLOR="white" CLASS="TableRowColor">
142<TD WIDTH="15%"><B><A HREF="../../../../../../org/apache/hadoop/mapred/lib/aggregate/StringValueMin.html" title="class in org.apache.hadoop.mapred.lib.aggregate">StringValueMin</A></B></TD>
143<TD>This class implements a value aggregator that maintain the smallest of
144 a sequence of strings.</TD>
145</TR>
146<TR BGCOLOR="white" CLASS="TableRowColor">
147<TD WIDTH="15%"><B><A HREF="../../../../../../org/apache/hadoop/mapred/lib/aggregate/UniqValueCount.html" title="class in org.apache.hadoop.mapred.lib.aggregate">UniqValueCount</A></B></TD>
148<TD>This class implements a value aggregator that dedupes a sequence of objects.</TD>
149</TR>
150<TR BGCOLOR="white" CLASS="TableRowColor">
151<TD WIDTH="15%"><B><A HREF="../../../../../../org/apache/hadoop/mapred/lib/aggregate/UserDefinedValueAggregatorDescriptor.html" title="class in org.apache.hadoop.mapred.lib.aggregate">UserDefinedValueAggregatorDescriptor</A></B></TD>
152<TD>This class implements a wrapper for a user defined value aggregator descriptor.</TD>
153</TR>
154<TR BGCOLOR="white" CLASS="TableRowColor">
155<TD WIDTH="15%"><B><A HREF="../../../../../../org/apache/hadoop/mapred/lib/aggregate/ValueAggregatorBaseDescriptor.html" title="class in org.apache.hadoop.mapred.lib.aggregate">ValueAggregatorBaseDescriptor</A></B></TD>
156<TD>This class implements the common functionalities of
157 the subclasses of ValueAggregatorDescriptor class.</TD>
158</TR>
159<TR BGCOLOR="white" CLASS="TableRowColor">
160<TD WIDTH="15%"><B><A HREF="../../../../../../org/apache/hadoop/mapred/lib/aggregate/ValueAggregatorCombiner.html" title="class in org.apache.hadoop.mapred.lib.aggregate">ValueAggregatorCombiner&lt;K1 extends WritableComparable,V1 extends Writable&gt;</A></B></TD>
161<TD>This class implements the generic combiner of Aggregate.</TD>
162</TR>
163<TR BGCOLOR="white" CLASS="TableRowColor">
164<TD WIDTH="15%"><B><A HREF="../../../../../../org/apache/hadoop/mapred/lib/aggregate/ValueAggregatorJob.html" title="class in org.apache.hadoop.mapred.lib.aggregate">ValueAggregatorJob</A></B></TD>
165<TD>This is the main class for creating a map/reduce job using Aggregate
166 framework.</TD>
167</TR>
168<TR BGCOLOR="white" CLASS="TableRowColor">
169<TD WIDTH="15%"><B><A HREF="../../../../../../org/apache/hadoop/mapred/lib/aggregate/ValueAggregatorJobBase.html" title="class in org.apache.hadoop.mapred.lib.aggregate">ValueAggregatorJobBase&lt;K1 extends WritableComparable,V1 extends Writable&gt;</A></B></TD>
170<TD>This abstract class implements some common functionalities of the
171 the generic mapper, reducer and combiner classes of Aggregate.</TD>
172</TR>
173<TR BGCOLOR="white" CLASS="TableRowColor">
174<TD WIDTH="15%"><B><A HREF="../../../../../../org/apache/hadoop/mapred/lib/aggregate/ValueAggregatorMapper.html" title="class in org.apache.hadoop.mapred.lib.aggregate">ValueAggregatorMapper&lt;K1 extends WritableComparable,V1 extends Writable&gt;</A></B></TD>
175<TD>This class implements the generic mapper of Aggregate.</TD>
176</TR>
177<TR BGCOLOR="white" CLASS="TableRowColor">
178<TD WIDTH="15%"><B><A HREF="../../../../../../org/apache/hadoop/mapred/lib/aggregate/ValueAggregatorReducer.html" title="class in org.apache.hadoop.mapred.lib.aggregate">ValueAggregatorReducer&lt;K1 extends WritableComparable,V1 extends Writable&gt;</A></B></TD>
179<TD>This class implements the generic reducer of Aggregate.</TD>
180</TR>
181<TR BGCOLOR="white" CLASS="TableRowColor">
182<TD WIDTH="15%"><B><A HREF="../../../../../../org/apache/hadoop/mapred/lib/aggregate/ValueHistogram.html" title="class in org.apache.hadoop.mapred.lib.aggregate">ValueHistogram</A></B></TD>
183<TD>This class implements a value aggregator that computes the
184 histogram of a sequence of strings.</TD>
185</TR>
186</TABLE>
187&nbsp;
188
189<P>
190<A NAME="package_description"><!-- --></A><H2>
191Package org.apache.hadoop.mapred.lib.aggregate Description
192</H2>
193
194<P>
195Classes for performing various counting and aggregations.
196<p />
197<h2><a name="Aggregate"></a>Aggregate framework </h2>
198<p />
199Generally speaking, in order to implement an application using Map/Reduce
200model, the developer needs to implement Map and Reduce functions (and possibly
201Combine function). However, for a lot of applications related to counting and
202statistics computing, these functions have very similar
203characteristics. This provides a package implementing
204those patterns. In particular, the package provides a generic mapper class,
205a reducer class and a combiner class, and a set of built-in value aggregators.
206It also provides a generic utility class, ValueAggregatorJob, that offers a static function that
207creates map/reduce jobs:
208<blockquote>
209<pre>
210public static JobConf createValueAggregatorJob(String args&#91;]) throws IOException;
211</pre>
212</blockquote>
213To call this function, the user needs to pass in arguments specifying the input directories, the output directory,
214the number of reducers, the input data format (textinputformat or sequencefileinputformat), and a file specifying user plugin class(es) to load by the mapper.
215A user plugin class is responsible for specifying what
216aggregators to use and what values are for which aggregators.
217A plugin class must implement the following interface:
218<blockquote>
219<pre>
220 public interface ValueAggregatorDescriptor {
221     public ArrayList&#60;Entry&#62; generateKeyValPairs(Object key, Object value);
222     public void configure(JobConfjob);
223}
224</pre>
225</blockquote>
226Function generateKeyValPairs will generate aggregation key/value pairs for the
227input key/value pair. Each aggregation key encodes two pieces of information: the aggregation type and aggregation ID.
228The value is the value to be aggregated onto the aggregation ID according to the aggregation type. Here
229is a simple example user plugin class for counting the words in the input texts:
230<blockquote>
231<pre>
232public class WordCountAggregatorDescriptor extends ValueAggregatorBaseDescriptor {
233    public ArrayList&#60;Entry&#62; generateKeyValPairs(Object key, Object val) {
234        String words &#91;] &#61; val.toString().split(&#34; &#124;\t&#34;);
235        ArrayList&#60;Entry&#62; retv &#61; new ArrayList&#60;Entry&#62;();
236        for (int i &#61; 0; i &#60; words.length; i++) {
237            retv.add(generateEntry(LONG&#95;VALUE&#95;SUM, words&#91;i], ONE))
238        }
239        return retv;
240    }
241    public void configure(JobConf job) {}
242}
243</pre>
244</blockquote>
245In the above code, LONG_VALUE_SUM is a string denoting the aggregation type LongValueSum, which sums over long values.
246ONE denotes a string "1". Function generateEntry(LONG_VALUE_SUM, words[i], ONE) will inperpret the first argument as an aggregation type, the second as an aggregation ID, and the the third argumnent as the value to be aggregated. The output will look like: "LongValueSum:xxxx", where XXXX is the string value of words[i]. The value will be "1". The mapper will call generateKeyValPairs(Object key, Object val)  for each input key/value pair to generate the desired aggregation id/value pairs.
247The down stream combiner/reducer will interpret these pairs as adding one to the aggregator XXXX.
248<p />
249Class ValueAggregatorBaseDescriptor is a base class that user plugin classes can extend. Here is the XML fragment specifying the user plugin class:
250<blockquote>
251<pre>
252&#60;property&#62;
253    &#60;name&#62;aggregator.descriptor.num&#60;/name&#62;
254    &#60;value&#62;1&#60;/value&#62;
255&#60;/property&#62;
256&#60;property&#62;
257   &#60;name&#62;aggregator.descriptor.0&#60;/name&#62;
258   &#60;value&#62;UserDefined,org.apache.hadoop.mapred.lib.aggregate.examples.WordCountAggregatorDescriptor&#60;/value&#62;
259&#60;/property&#62; 
260</pre>
261</blockquote>
262Class ValueAggregatorBaseDescriptor itself provides a default implementation for  generateKeyValPairs:
263<blockquote>
264<pre>
265public ArrayList&#60;Entry&#62; generateKeyValPairs(Object key, Object val) {
266   ArrayList&#60;Entry&#62; retv &#61; new ArrayList&#60;Entry&#62;();     
267   String countType &#61; LONG&#95;VALUE&#95;SUM;
268   String id &#61; &#34;record&#95;count&#34;;
269   retv.add(generateEntry(countType, id, ONE));
270   return retv;
271}
272</pre>
273</blockquote>
274Thus, if no user plugin class is specified, the default behavior of the map/reduce job is to count the number of records (lines) in the imput files.
275<p />
276During runtime, the mapper will invoke the generateKeyValPairs function for each input key/value pair, and emit the generated
277key/value pairs:
278<blockquote>
279<pre>
280public void map(WritableComparable key, Writable value,
281            OutputCollector output, Reporter reporter) throws IOException {
282   Iterator iter &#61; this.aggregatorDescriptorList.iterator();
283   while (iter.hasNext()) {
284       ValueAggregatorDescriptor ad &#61; (ValueAggregatorDescriptor) iter.next();
285       Iterator&#60;Entry&#62; ens &#61; ad.generateKeyValPairs(key, value).iterator();
286       while (ens.hasNext()) {
287           Entry en &#61; ens.next();
288           output.collect((WritableComparable)en.getKey(), (Writable)en.getValue());
289       }
290   }
291}
292</pre>
293</blockquote>
294The reducer will create an aggregator object for each key/value list pair, and perform the appropriate aggregation.
295At the end, it will emit the aggregator's results:
296<blockquote>
297<pre>
298public void reduce(WritableComparable key, Iterator values,
299            OutputCollector output, Reporter reporter) throws IOException {
300   String keyStr &#61; key.toString();
301   int pos &#61; keyStr.indexOf(ValueAggregatorDescriptor.TYPE&#95;SEPARATOR);
302   String type &#61; keyStr.substring(0,pos);
303   keyStr &#61; keyStr.substring(pos+ValueAggregatorDescriptor.TYPE&#95;SEPARATOR.length());       
304   ValueAggregator aggregator &#61; 
305       ValueAggregatorBaseDescriptor.generateValueAggregator(type);
306   while (values.hasNext()) {
307       aggregator.addNextValue(values.next());
308   }         
309   String val &#61; aggregator.getReport();
310   key &#61; new Text(keyStr);
311   output.collect(key, new Text(val));
312}
313</pre>
314</blockquote>
315In order to be able to use combiner, all the aggregation type be aggregators must be associative and communitive.
316The following are the types supported: <ul>
317<li> LongValueSum: sum over long values
318</li> <li> DoubleValueSum: sum over float/double values
319</li> <li> uniqValueCount: count the number of distinct values
320</li> <li> ValueHistogram: compute the histogram of values compute the minimum, maximum, media,average, standard deviation of numeric values
321</li></ul> 
322<p />
323<h2><a name="Create_and_run"></a> Create and run an application </h2>
324<p />
325To create an application, the user needs to do the following things:
326<p />
3271. Implement a user plugin:
328<blockquote>
329<pre>
330import org.apache.hadoop.mapred.lib.aggregate.ValueAggregatorBaseDescriptor;
331import org.apache.hadoop.mapred.JobConf;
332
333public class WordCountAggregatorDescriptor extends ValueAggregatorBaseDescriptor {
334   public void map(WritableComparable key, Writable value,
335            OutputCollector output, Reporter reporter) throws IOException {
336   }
337   public void configure(JobConf job) {
338   
339   }
340}
341</pre>
342</blockquote>
343
3442. Create an xml file specifying the user plugin.
345<p />
3463. Compile your java class and create a jar file, say wc.jar.
347
348<p />
349Finally, run the job:
350<blockquote>
351<pre>
352        hadoop jar wc.jar org.apache.hadoop.mapred.lib.aggregate..ValueAggregatorJob indirs outdir numofreducers textinputformat|sequencefileinputformat spec_file
353</pre>
354</blockquote>
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