Examples of MiniMRCluster

Examples of org.apache.hadoop.mapred.MiniMRCluster

88
89
90
91
92
93
94
95
96
97
98
    fs = FileSystem.get(conf);
    System.setProperty("hadoop.log.dir", new File(workDir, "/logs").getAbsolutePath());
    // LocalJobRunner does not work with mapreduce OutputCommitter. So need
    // to use MiniMRCluster. MAPREDUCE-2350
    mrCluster = new MiniMRCluster(1, fs.getUri().toString(), 1, null, null,
        new JobConf(conf));
    mrConf = mrCluster.createJobConf();

    if (isServerRunning) {
      return;
View Full Code Here

Examples of org.apache.hadoop.mapred.MiniMRCluster

178
179
180
181
182
183
184
185
186
187
188
    conf.set("yarn.scheduler.capacity.root.queues", "default");
    conf.set("yarn.scheduler.capacity.root.default.capacity", "100");

    FileSystem fs = FileSystem.get(conf);
    System.setProperty("hadoop.log.dir", new File(workDir, "/logs").getAbsolutePath());
    mrCluster = new MiniMRCluster(1, fs.getUri().toString(), 1, null, null,
      new JobConf(conf));
    mrConf = mrCluster.createJobConf();
    fs.mkdirs(warehousedir);

    initializeSetup();
View Full Code Here

Examples of org.apache.hadoop.mapred.MiniMRCluster

77
78
79
80
81
82
83
84
85
    fs = FileSystem.get(conf);
    System.setProperty("hadoop.log.dir", new File(workDir, "/logs").getAbsolutePath());
    // LocalJobRunner does not work with mapreduce OutputCommitter. So need
    // to use MiniMRCluster. MAPREDUCE-2350
    mrCluster = new MiniMRCluster(1, fs.getUri().toString(), 1, null, null,
      new JobConf(conf));
    mrConf = mrCluster.createJobConf();
  }
View Full Code Here

Examples of org.apache.hadoop.mapred.MiniMRCluster

213
214
215
216
217
218
219
220
221
222
223
      jobConf.set("yarn.scheduler.capacity.root.queues", "default");
      jobConf.set("yarn.scheduler.capacity.root.default.capacity", "100");
      //conf.set("hadoop.job.history.location",new File(workDir).getAbsolutePath()+"/history");
      System.setProperty("hadoop.log.dir", new File(workDir, "/logs").getAbsolutePath());

      mrCluster = new MiniMRCluster(jobTrackerPort,
        taskTrackerPort,
        numTaskTrackers,
        getFileSystem().getUri().toString(),
        numTaskTrackers,
        null,
View Full Code Here

Examples of org.apache.hadoop.mapred.MiniMRCluster

118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
    if (printResults) {
      LOG.info("Print table contents before map/reduce");
    }
    scanTable(printResults);

    @SuppressWarnings("deprecation")
    MiniMRCluster mrCluster = new MiniMRCluster(2, fs.getUri().toString(), 1);

    // set configuration parameter for index build
    conf.set("hbase.index.conf", createIndexConfContent());

    try {
      JobConf jobConf = new JobConf(conf, TestTableIndex.class);
      jobConf.setJobName("index column contents");
      jobConf.setNumMapTasks(2);
      // number of indexes to partition into
      jobConf.setNumReduceTasks(1);

      // use identity map (a waste, but just as an example)
      IdentityTableMap.initJob(TABLE_NAME, INPUT_COLUMN,
          IdentityTableMap.class, jobConf);

      // use IndexTableReduce to build a Lucene index
      jobConf.setReducerClass(IndexTableReduce.class);
      jobConf.setOutputPath(new Path(INDEX_DIR));
      jobConf.setOutputFormat(IndexOutputFormat.class);

      JobClient.runJob(jobConf);

    } finally {
      mrCluster.shutdown();
    }

    if (printResults) {
      LOG.info("Print table contents after map/reduce");
    }
View Full Code Here

Examples of org.apache.hadoop.mapred.MiniMRCluster

145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
  /**
   * Test hbase mapreduce jobs against a multi-region table.
   * @throws IOException
   */
  public void testTableMapReduce() throws IOException {
    @SuppressWarnings("deprecation")
    MiniMRCluster mrCluster = new MiniMRCluster(2, fs.getUri().toString(), 1);

    try {
      JobConf jobConf = new JobConf(conf, TestTableMapReduce.class);
      jobConf.setJobName("process column contents");
      jobConf.setNumMapTasks(2);
      jobConf.setNumReduceTasks(1);

      TableMap.initJob(MULTI_REGION_TABLE_NAME, INPUT_COLUMN,
          ProcessContentsMapper.class, jobConf);

      TableReduce.initJob(MULTI_REGION_TABLE_NAME,
          IdentityTableReduce.class, jobConf);
      LOG.info("Started " + MULTI_REGION_TABLE_NAME);
      JobClient.runJob(jobConf);

      // verify map-reduce results
      verify(MULTI_REGION_TABLE_NAME);
    } finally {
      mrCluster.shutdown();
    }
  }
View Full Code Here

Examples of org.apache.hadoop.mapred.MiniMRCluster

141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
  public void testTableIndex() throws IOException {
    long firstK = 32;
    LOG.info("Print table contents before map/reduce");
    scanTable(conf, firstK);

    @SuppressWarnings("deprecation")
    MiniMRCluster mrCluster = new MiniMRCluster(2, fs.getUri().toString(), 1);

    // set configuration parameter for index build
    conf.set("hbase.index.conf", createIndexConfContent());

    try {
      JobConf jobConf = new JobConf(conf, TestTableIndex.class);
      jobConf.setJobName("index column contents");
      jobConf.setNumMapTasks(2);
      // number of indexes to partition into
      jobConf.setNumReduceTasks(1);

      // use identity map (a waste, but just as an example)
      IdentityTableMap.initJob(TABLE_NAME, INPUT_COLUMN,
          IdentityTableMap.class, jobConf);

      // use IndexTableReduce to build a Lucene index
      jobConf.setReducerClass(IndexTableReduce.class);
      jobConf.setOutputPath(new Path(INDEX_DIR));
      jobConf.setOutputFormat(IndexOutputFormat.class);

      JobClient.runJob(jobConf);

    } finally {
      mrCluster.shutdown();
    }

    LOG.info("Print table contents after map/reduce");
    scanTable(conf, firstK);
View Full Code Here

Examples of org.apache.hadoop.mapred.MiniMRCluster

237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
    }

    LOG.info("Print table contents before map/reduce");
    scanTable(conf, SINGLE_REGION_TABLE_NAME);
   
    @SuppressWarnings("deprecation")
    MiniMRCluster mrCluster = new MiniMRCluster(2, fs.getUri().toString(), 1);

    try {
      JobConf jobConf = new JobConf(conf, TestTableMapReduce.class);
      jobConf.setJobName("process column contents");
      jobConf.setNumMapTasks(1);
      jobConf.setNumReduceTasks(1);

      TableMap.initJob(SINGLE_REGION_TABLE_NAME, INPUT_COLUMN,
          ProcessContentsMapper.class, jobConf);

      TableReduce.initJob(SINGLE_REGION_TABLE_NAME,
          IdentityTableReduce.class, jobConf);

      JobClient.runJob(jobConf);
     
    } finally {
      mrCluster.shutdown();
    }
   
    LOG.info("Print table contents after map/reduce");
    scanTable(conf, SINGLE_REGION_TABLE_NAME);
View Full Code Here

Examples of org.apache.hadoop.mapred.MiniMRCluster

287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
    // Verify table indeed has multiple regions
    HTable table = new HTable(conf, new Text(MULTI_REGION_TABLE_NAME));
    Text[] startKeys = table.getStartKeys();
    assertTrue(startKeys.length > 1);

    @SuppressWarnings("deprecation")
    MiniMRCluster mrCluster = new MiniMRCluster(2, fs.getUri().toString(), 1);

    try {
      JobConf jobConf = new JobConf(conf, TestTableMapReduce.class);
      jobConf.setJobName("process column contents");
      jobConf.setNumMapTasks(2);
      jobConf.setNumReduceTasks(1);

      TableMap.initJob(MULTI_REGION_TABLE_NAME, INPUT_COLUMN,
          ProcessContentsMapper.class, jobConf);

      TableReduce.initJob(MULTI_REGION_TABLE_NAME,
          IdentityTableReduce.class, jobConf);

      JobClient.runJob(jobConf);
     
    } finally {
      mrCluster.shutdown();
    }
   
    // verify map-reduce results
    verify(conf, MULTI_REGION_TABLE_NAME);
  }
View Full Code Here

Examples of org.apache.hadoop.mapred.MiniMRCluster

46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
    if (System.getProperty("compile.c++") == null) {
      LOG.info("compile.c++ is not defined, so skipping TestPipes");
      return;
    }
    MiniDFSCluster dfs = null;
    MiniMRCluster mr = null;
    FileSystem fs = null;
    Path cppExamples = new Path(System.getProperty("install.c++.examples"));
    Path inputPath = new Path("/testing/in");
    Path outputPath = new Path("/testing/out");
    try {
      final int numSlaves = 2;
      Configuration conf = new Configuration();
      dfs = new MiniDFSCluster(conf, numSlaves, true, null);
      fs = dfs.getFileSystem();
      mr = new MiniMRCluster(numSlaves, fs.getName(), 1);
      writeInputFile(fs, inputPath);
      runProgram(mr, fs, new Path(cppExamples, "bin/wordcount-simple"),
                 inputPath, outputPath, 3, 2, twoSplitOutput);
      FileUtil.fullyDelete(fs, outputPath);
      assertFalse("output not cleaned up", fs.exists(outputPath));
      runProgram(mr, fs, new Path(cppExamples, "bin/wordcount-simple"),
                 inputPath, outputPath, 3, 0, noSortOutput);
      FileUtil.fullyDelete(fs, outputPath);
      assertFalse("output not cleaned up", fs.exists(outputPath));
      runProgram(mr, fs, new Path(cppExamples, "bin/wordcount-part"),
                 inputPath, outputPath, 3, 2, fixedPartitionOutput);
      runNonPipedProgram(mr, fs, new Path(cppExamples, "bin/wordcount-nopipe"));
      mr.waitUntilIdle();
    } finally {
      mr.shutdown();
      dfs.shutdown();
    }
  }
View Full Code Here
TOP
Copyright © 2018 www.massapi.com. All rights reserved.
All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.