Example usage for java.util Random nextLong

Introduction

In this page you can find the example usage for java.util Random nextLong.

Prototype

public long nextLong() 

Source Link

Document

Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence.

Usage

From source file:com.ovrhere.android.morseflash.ui.fragments.MainFragment.java

private long generateRandomValue() {
    Random rand = new Random();
    long secretCode = rand.nextLong();

    return secretCode;
}

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From source file:com.sube.daos.mongodb.StatisticDaoTest.java

private long nextLong(Random rng, long n) {
    long bits, val;
    do {//from   www  .j  a v  a2 s  .  com
        bits = (rng.nextLong() << 1) >>> 1;
        val = bits % n;
    } while (bits - val + (n - 1) < 0L);
    return val;
}

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From source file:org.t2framework.commons.util.LazyLoadingReference.java

public void test_loadHeavy() throws Exception {
        final LazyLoadingReference<String> target = new LazyLoadingReference<String>(
                new LazyLoadingReference.Factory<String>() {
                    public String create() {
                        return "hoge";
                    }/*from   ww w.  jav  a 2 s. c  o  m*/
                });
        final Random random = new Random(System.currentTimeMillis());
        List<Thread> list = new ArrayList<Thread>();
        for (int i = 0; i < 20; i++) {
            Runnable r = new Runnable() {
                public void run() {
                    try {
                        long l = random.nextLong() % 100;
                        Thread.sleep(l < 0 ? l * -1 : l);
                        assertEquals("hoge", target.get());
                    } catch (InterruptedException e) {
                        e.printStackTrace();
                    }
                }
            };
            Thread t = new Thread(r);
            list.add(t);
            t.start();
        }
        for (Thread t : list) {
            t.join();
        }
    }

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From source file:org.jbpm.console.ng.pr.client.editors.instance.list.variables.dash.DataSetProcessInstanceWithVariablesListPresenterTest.java

@Test
public void abortProcessInstancesTest() {
    final Random random = new Random();
    final List<Long> pIds = new ArrayList<Long>();
    pIds.add(random.nextLong());
    pIds.add(random.nextLong());//from www . j  a v a  2 s.  c  om
    pIds.add(random.nextLong());

    presenter.abortProcessInstance(pIds);

    verify(kieSessionEntryPointMock).abortProcessInstances(pIds);
}

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From source file:it.crs4.seal.tsv_sort.TsvSort.java

public int run(String[] args) throws Exception {
    LOG.info("starting");

    TsvSortOptionParser parser = new TsvSortOptionParser();
    parser.parse(getConf(), args);/*from   w ww .ja va 2  s .  co m*/

    LOG.info("Using " + parser.getNReduceTasks() + " reduce tasks");

    Job job = new Job(getConf());

    job.setJobName("TsvSort " + parser.getInputPaths().get(0));
    job.setJarByClass(TsvSort.class);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(Text.class);
    job.setInputFormatClass(TsvInputFormat.class);
    job.setOutputFormatClass(TextValueOutputFormat.class);
    job.setPartitionerClass(TotalOrderPartitioner.class);

    // output path
    FileOutputFormat.setOutputPath(job, parser.getOutputPath());

    FileSystem fs = parser.getOutputPath().getFileSystem(job.getConfiguration());
    /*
     *
     * Pick a random name for the partition file in the same directory as the
     * output path.  So, TsvSort /user/me/input /user/me/output
     * results in the partition file being placed in /user/me/_partition.lst.12340921387402174
     *
     * Why not place it directly in the input path?
     *
     *   We wouldn't be able to run two sorts on the same data at the same time.
     *   We've received complaints about this in the past, so it has been a
     *   limit in practice.
     *
     * Why not place it directly in the output path?
     *
     *   We'd have to create the output path before the output format did.
     *   For this to work we'd have to disable the FileOutputFormat's default check
     *   that verifies that the output directory doesn't exist.  This means that we'd
     *   need some other way to ensure that we're not writing to the same path where
     *   some other job wrote.
     */
    Path partitionFile;
    Random rnd = new Random();
    do {
        partitionFile = new Path(parser.getOutputPath().getParent(),
                String.format("_partition.lst.%012d", Math.abs(rnd.nextLong())));
    } while (fs.exists(partitionFile)); // this is still subject to a race condition between it and another instance of this program
    partitionFile = partitionFile.makeQualified(fs);
    LOG.info("partition file path: " + partitionFile);

    URI partitionUri = new URI(partitionFile.toString() + "#" + PARTITION_SYMLINK);
    LOG.debug("partitionUri for distributed cache: " + partitionUri);

    // input paths
    for (Path p : parser.getInputPaths())
        TsvInputFormat.addInputPath(job, p);

    LOG.info("sampling input");
    TextSampler.writePartitionFile(new TsvInputFormat(), job, partitionFile);
    LOG.info("created partitions");
    try {
        DistributedCache.addCacheFile(partitionUri, job.getConfiguration());
        DistributedCache.createSymlink(job.getConfiguration());

        int retcode = job.waitForCompletion(true) ? 0 : 1;
        LOG.info("done");
        return retcode;
    } finally {
        LOG.debug("deleting partition file " + partitionFile);
        fs.delete(partitionFile, false);
    }
}

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From source file:org.apache.hadoop.hdfs.notifier.benchmark.TxnConsumer.java

private JobConf createJobConf(Configuration conf2) throws IOException {
    JobConf jobConf = new JobConf(conf);
    String jobName = "transaction_consumer";
    jobConf.setJobName(jobName);//ww  w.  j  av  a2 s. c o  m

    String splitDir = workplace + "split/";

    jobConf.set(TEST_DIR_LABEL, workplace);
    jobConf.set(NOTIFIER_SERVER_ADDR_KEY, notifierServerAddrStr);
    jobConf.set(NOTIFIER_SERVER_PORT_KEY, notifierServerPortStr);

    jobConf.setMapSpeculativeExecution(false);
    jobConf.setReduceSpeculativeExecution(false);

    jobConf.setJarByClass(TxnConsumer.class);
    jobConf.setMapperClass(ConsumerMapper.class);
    jobConf.setReducerClass(ConsumerReducer.class);

    jobConf.setMapOutputKeyClass(Text.class);
    jobConf.setMapOutputValueClass(Text.class);
    jobConf.setOutputKeyClass(Text.class);
    jobConf.setOutputValueClass(Text.class);
    jobConf.setInputFormat(TextInputFormat.class);
    jobConf.setOutputFormat(TextOutputFormat.class);

    FileInputFormat.addInputPath(jobConf, new Path(splitDir));
    Random random = new Random();
    FileOutputFormat.setOutputPath(jobConf, new Path(workplace, "output" + random.nextLong()));

    jobConf.setNumMapTasks(numMappers);

    createSplitFiles(conf, new Path(splitDir));

    return jobConf;
}

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From source file:org.springframework.security.saml.websso.AttributeQueryImpl.java

/**
 * Generates random ID to be used as Request/Response ID.
 *
 * @return random ID/*  www  .  j a  v a 2s.co  m*/
 */
protected String generateID() {
    Random r = new Random();
    return 'a' + Long.toString(Math.abs(r.nextLong()), 20) + Long.toString(Math.abs(r.nextLong()), 20);
}

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From source file:com.linkedin.pinot.segments.v1.creator.OnHeapDictionariesTest.java

/**
 * Helper method to build a segment with random data as per the schema.
 *
 * @param segmentDirName Name of segment directory
 * @param segmentName Name of segment//from w ww  . ja v  a  2  s.c  om
 * @param schema Schema for segment
 * @return Schema built for the segment
 * @throws Exception
 */
private Schema buildSegment(String segmentDirName, String segmentName, Schema schema) throws Exception {

    SegmentGeneratorConfig config = new SegmentGeneratorConfig(schema);
    config.setOutDir(segmentDirName);
    config.setFormat(FileFormat.AVRO);
    config.setSegmentName(segmentName);

    Random random = new Random(RANDOM_SEED);

    List<GenericRow> rows = new ArrayList<>(NUM_ROWS);

    for (int rowId = 0; rowId < NUM_ROWS; rowId++) {
        HashMap<String, Object> map = new HashMap<>();

        map.put(INT_COLUMN, random.nextInt());
        map.put(LONG_COLUMN, random.nextLong());
        map.put(FLOAT_COLUMN, random.nextFloat());
        map.put(DOUBLE_COLUMN, random.nextDouble());
        map.put(STRING_COLUMN, RandomStringUtils.randomAscii(100));

        GenericRow genericRow = new GenericRow();
        genericRow.init(map);
        rows.add(genericRow);
    }

    SegmentIndexCreationDriverImpl driver = new SegmentIndexCreationDriverImpl();
    driver.init(config, new GenericRowRecordReader(rows, schema));
    driver.build();

    LOGGER.info("Built segment {} at {}", segmentName, segmentDirName);
    return schema;
}

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From source file:org.rhq.enterprise.server.content.test.RepoManagerBeanTest.java

@Test(enabled = ENABLED)
public void createABunchOfRepos() throws Exception {
    PageList<Repo> repos = repoManager.findRepos(overlord, new PageControl());
    int origsize = 0;
    if (repos != null) {
        origsize = repos.size();//from  www.  j av  a 2 s .  c  om
    }
    for (int i = 0; i < 10; i++) {
        Random r = new Random(System.currentTimeMillis());
        Repo repo = new Repo(r.nextLong() + "");
        repoManager.createRepo(overlord, repo);
    }
    repos = repoManager.findRepos(overlord, new PageControl());

    assert repos.size() == (origsize + 10);

}

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From source file:org.apache.hadoop.hbase.mapreduce.CopyTable.java

/**
 * Sets up the actual job./*www  .  j  a  v a  2 s  .  co  m*/
 *
 * @param args  The command line parameters.
 * @return The newly created job.
 * @throws IOException When setting up the job fails.
 */
public Job createSubmittableJob(String[] args) throws IOException {
    if (!doCommandLine(args)) {
        return null;
    }

    Job job = Job.getInstance(getConf(), getConf().get(JOB_NAME_CONF_KEY, NAME + "_" + tableName));
    job.setJarByClass(CopyTable.class);
    Scan scan = new Scan();
    scan.setCacheBlocks(false);
    if (startTime != 0) {
        scan.setTimeRange(startTime, endTime == 0 ? HConstants.LATEST_TIMESTAMP : endTime);
    }
    if (allCells) {
        scan.setRaw(true);
    }
    if (shuffle) {
        job.getConfiguration().set(TableInputFormat.SHUFFLE_MAPS, "true");
    }
    if (versions >= 0) {
        scan.setMaxVersions(versions);
    }

    if (startRow != null) {
        scan.setStartRow(Bytes.toBytes(startRow));
    }

    if (stopRow != null) {
        scan.setStopRow(Bytes.toBytes(stopRow));
    }

    if (families != null) {
        String[] fams = families.split(",");
        Map<String, String> cfRenameMap = new HashMap<String, String>();
        for (String fam : fams) {
            String sourceCf;
            if (fam.contains(":")) {
                // fam looks like "sourceCfName:destCfName"
                String[] srcAndDest = fam.split(":", 2);
                sourceCf = srcAndDest[0];
                String destCf = srcAndDest[1];
                cfRenameMap.put(sourceCf, destCf);
            } else {
                // fam is just "sourceCf"
                sourceCf = fam;
            }
            scan.addFamily(Bytes.toBytes(sourceCf));
        }
        Import.configureCfRenaming(job.getConfiguration(), cfRenameMap);
    }
    job.setNumReduceTasks(0);

    if (bulkload) {
        TableMapReduceUtil.initTableMapperJob(tableName, scan, Import.KeyValueImporter.class, null, null, job);

        // We need to split the inputs by destination tables so that output of Map can be bulk-loaded.
        TableInputFormat.configureSplitTable(job, TableName.valueOf(dstTableName));

        FileSystem fs = FileSystem.get(getConf());
        Random rand = new Random();
        Path root = new Path(fs.getWorkingDirectory(), "copytable");
        fs.mkdirs(root);
        while (true) {
            bulkloadDir = new Path(root, "" + rand.nextLong());
            if (!fs.exists(bulkloadDir)) {
                break;
            }
        }

        System.out.println("HFiles will be stored at " + this.bulkloadDir);
        HFileOutputFormat2.setOutputPath(job, bulkloadDir);
        try (Connection conn = ConnectionFactory.createConnection(getConf()); Admin admin = conn.getAdmin()) {
            HFileOutputFormat2.configureIncrementalLoadMap(job,
                    admin.getTableDescriptor((TableName.valueOf(dstTableName))));
        }
    } else {
        TableMapReduceUtil.initTableMapperJob(tableName, scan, Import.Importer.class, null, null, job);

        TableMapReduceUtil.initTableReducerJob(dstTableName, null, job, null, peerAddress, null, null);
    }

    return job;
}

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