本文整理汇总了Java中org.apache.hadoop.mrunit.mapreduce.MapReduceDriver.run方法的典型用法代码示例。如果您正苦于以下问题：Java MapReduceDriver.run方法的具体用法？Java MapReduceDriver.run怎么用？Java MapReduceDriver.run使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类org.apache.hadoop.mrunit.mapreduce.MapReduceDriver的用法示例。
在下文中一共展示了MapReduceDriver.run方法的4个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: verifyMapReduce
import org.apache.hadoop.mrunit.mapreduce.MapReduceDriver; //导入方法依赖的package包/类
public static void verifyMapReduce(SmartMapper mapper, SmartReducer reducer, Object key, Object input)
throws Exception
{
MapDriver mapDriver = new MapDriver();
mapDriver.setMapper(mapper);
MapReduceDriver mapReduceDriver = new MapReduceDriver();
mapReduceDriver.setMapper(mapper);
Object writableKey = WritableUtils.createWritable(key, mapper.getKeyInType());
Object writableValue = WritableUtils.createWritable(input, mapper.getValueInType());
mapDriver.withInput(writableKey, writableValue);
List results = mapDriver.run();
Collections.sort(results, PairComparer.INSTANCE);
mapReduceDriver = new MapReduceDriver<LongWritable, Text, Text, LongWritable, Text, LongWritable>();
writableKey = WritableUtils.createWritable(key, mapper.getKeyInType());
writableValue = WritableUtils.createWritable(input, mapper.getValueInType());
mapReduceDriver.withInput(writableKey, writableValue);
mapReduceDriver.setMapper(mapper);
mapReduceDriver.setReducer(reducer);
List finalResults = mapReduceDriver.run();
String text = String.format("[%s]\n\n -> maps via %s to -> \n\n%s\n\n -> reduces via %s to -> \n\n%s", input,
mapper.getClass().getSimpleName(), ArrayUtils.toString(results, Echo.INSTANCE),
reducer.getClass().getSimpleName(), ArrayUtils.toString(finalResults, Echo.INSTANCE));
Approvals.verify(text);
}
示例2: runWithGraph
import org.apache.hadoop.mrunit.mapreduce.MapReduceDriver; //导入方法依赖的package包/类
public static Map<Long, FaunusVertex> runWithGraph(final Map<Long, FaunusVertex> graph, final MapReduceDriver driver) throws IOException {
driver.resetOutput();
driver.resetExpectedCounters();
driver.getConfiguration().setBoolean(HadoopCompiler.TESTING, true);
for (final FaunusVertex vertex : graph.values()) {
driver.withInput(NullWritable.get(), vertex);
}
final Map<Long, FaunusVertex> map = new HashMap<Long, FaunusVertex>();
for (final Object pair : driver.run()) {
map.put(((Pair<NullWritable, FaunusVertex>) pair).getSecond().getLongId(), ((Pair<NullWritable, FaunusVertex>) pair).getSecond());
}
return map;
}
示例3: runWithGraphNoIndex
import org.apache.hadoop.mrunit.mapreduce.MapReduceDriver; //导入方法依赖的package包/类
public static List runWithGraphNoIndex(final Map<Long, FaunusVertex> graph, final MapReduceDriver driver) throws IOException {
driver.resetOutput();
driver.resetExpectedCounters();
driver.getConfiguration().setBoolean(HadoopCompiler.TESTING, true);
for (final Vertex vertex : graph.values()) {
driver.withInput(NullWritable.get(), vertex);
}
return driver.run();
}
示例4: run
import org.apache.hadoop.mrunit.mapreduce.MapReduceDriver; //导入方法依赖的package包/类
public static Map<Long, FaunusVertex> run(final MapReduceDriver driver) throws IOException {
final Map<Long, FaunusVertex> map = new HashMap<Long, FaunusVertex>();
for (final Object object : driver.run()) {
Pair<NullWritable, FaunusVertex> pair = (Pair<NullWritable, FaunusVertex>) object;
map.put(pair.getSecond().getLongId(), pair.getSecond());
}
return map;
}