Examples with WorkerId com.tencent.angel.worker.WorkerId used on opensource projects

Example 21 with WorkerId

use of com.tencent.angel.worker.WorkerId in project angel by Tencent.

the class MasterService method getWorkerLogDir.

/**
 * Get worker log url
 *
 * @param controller rpc controller
 * @param request rpc request contains worker id
 * @return worker log url
 * @throws ServiceException worker does not exist
 */
@Override
public GetWorkerLogDirResponse getWorkerLogDir(RpcController controller, GetWorkerLogDirRequest request) throws ServiceException {
    WorkerId workerId = ProtobufUtil.convertToId(request.getWorkerId());
    AMWorker worker = context.getWorkerManager().getWorker(workerId);
    if (worker == null) {
        throw new ServiceException("can not find worker " + workerId);
    }
    WorkerAttempt workerAttempt = worker.getRunningAttempt();
    if (workerAttempt == null) {
        return GetWorkerLogDirResponse.newBuilder().setLogDir("").build();
    }
    Location loc = workerAttempt.getLocation();
    Container container = workerAttempt.getContainer();
    if (loc == null || container == null) {
        return GetWorkerLogDirResponse.newBuilder().setLogDir("").build();
    }
    return GetWorkerLogDirResponse.newBuilder().setLogDir("http://" + loc.getIp() + ":" + yarnNMWebPort + "/node/containerlogs/" + container.getId() + "/angel/syslog/?start=0").build();
}

Example 22 with WorkerId

use of com.tencent.angel.worker.WorkerId in project angel by Tencent.

the class GetRowsTest method setup.

@Before
public void setup() throws Exception {
    // set basic configuration keys
    Configuration conf = new Configuration();
    conf.setBoolean("mapred.mapper.new-api", true);
    conf.setBoolean(AngelConf.ANGEL_JOB_OUTPUT_PATH_DELETEONEXIST, true);
    conf.set(AngelConf.ANGEL_TASK_USER_TASKCLASS, DummyTask.class.getName());
    // use local deploy mode and dummy dataspliter
    conf.set(AngelConf.ANGEL_DEPLOY_MODE, "LOCAL");
    conf.setBoolean(AngelConf.ANGEL_AM_USE_DUMMY_DATASPLITER, true);
    conf.set(AngelConf.ANGEL_INPUTFORMAT_CLASS, CombineTextInputFormat.class.getName());
    conf.set(AngelConf.ANGEL_SAVE_MODEL_PATH, LOCAL_FS + TMP_PATH + "/out");
    conf.set(AngelConf.ANGEL_TRAIN_DATA_PATH, LOCAL_FS + TMP_PATH + "/in");
    conf.set(AngelConf.ANGEL_LOG_PATH, LOCAL_FS + TMP_PATH + "/log");
    conf.setInt(AngelConf.ANGEL_WORKERGROUP_NUMBER, 1);
    conf.setInt(AngelConf.ANGEL_PS_NUMBER, 2);
    conf.setInt(AngelConf.ANGEL_WORKER_TASK_NUMBER, 1);
    conf.setInt(AngelConf.ANGEL_MODEL_PARTITIONER_PARTITION_SIZE, 1000);
    conf.setBoolean("use.new.split", true);
    conf.setInt(AngelConf.ANGEL_PSAGENT_CACHE_SYNC_TIMEINTERVAL_MS, 10);
    conf.setInt(AngelConf.ANGEL_WORKER_HEARTBEAT_INTERVAL_MS, 1000);
    conf.setInt(AngelConf.ANGEL_PS_HEARTBEAT_INTERVAL_MS, 1000);
    conf.setInt(AngelConf.ANGEL_WORKER_MAX_ATTEMPTS, 1);
    conf.setInt(AngelConf.ANGEL_PS_MAX_ATTEMPTS, 1);
    // get a angel client
    angelClient = AngelClientFactory.get(conf);
    // add dense double matrix
    MatrixContext dMat = new MatrixContext();
    dMat.setName(DENSE_DOUBLE_MAT);
    dMat.setRowNum(rowNum);
    dMat.setColNum(feaNum);
    dMat.setMaxRowNumInBlock(blockRowNum);
    dMat.setMaxColNumInBlock(blockColNum);
    dMat.setRowType(RowType.T_DOUBLE_DENSE);
    dMat.setPartitionerClass(ColumnRangePartitioner.class);
    angelClient.addMatrix(dMat);
    // add sparse double matrix
    MatrixContext sMat = new MatrixContext();
    sMat.setName(SPARSE_DOUBLE_MAT);
    sMat.setRowNum(rowNum);
    sMat.setColNum(feaNum);
    sMat.setMaxRowNumInBlock(blockRowNum);
    sMat.setMaxColNumInBlock(blockColNum);
    sMat.setRowType(RowType.T_DOUBLE_SPARSE);
    sMat.setPartitionNum(partNum);
    sMat.setPartitionerClass(HashPartitioner.class);
    angelClient.addMatrix(sMat);
    // add dense float matrix
    MatrixContext dfMat = new MatrixContext();
    dfMat.setName(DENSE_FLOAT_MAT);
    dfMat.setRowNum(rowNum);
    dfMat.setColNum(feaNum);
    dfMat.setMaxRowNumInBlock(blockRowNum);
    dfMat.setMaxColNumInBlock(blockColNum);
    dfMat.setRowType(RowType.T_FLOAT_DENSE);
    dfMat.setPartitionerClass(ColumnRangePartitioner.class);
    angelClient.addMatrix(dfMat);
    // add sparse float matrix
    MatrixContext sfMat = new MatrixContext();
    sfMat.setName(SPARSE_FLOAT_MAT);
    sfMat.setRowNum(rowNum);
    sfMat.setColNum(feaNum);
    sfMat.setMaxRowNumInBlock(blockRowNum);
    sfMat.setMaxColNumInBlock(blockColNum);
    sfMat.setRowType(RowType.T_FLOAT_SPARSE);
    sfMat.setPartitionNum(partNum);
    sfMat.setPartitionerClass(HashPartitioner.class);
    angelClient.addMatrix(sfMat);
    // add dense float matrix
    MatrixContext diMat = new MatrixContext();
    diMat.setName(DENSE_INT_MAT);
    diMat.setRowNum(rowNum);
    diMat.setColNum(feaNum);
    diMat.setMaxRowNumInBlock(blockRowNum);
    diMat.setMaxColNumInBlock(blockColNum);
    diMat.setRowType(RowType.T_INT_DENSE);
    diMat.setPartitionerClass(ColumnRangePartitioner.class);
    angelClient.addMatrix(diMat);
    // add sparse float matrix
    MatrixContext siMat = new MatrixContext();
    siMat.setName(SPARSE_INT_MAT);
    siMat.setRowNum(rowNum);
    siMat.setColNum(feaNum);
    siMat.setMaxRowNumInBlock(blockRowNum);
    siMat.setMaxColNumInBlock(blockColNum);
    siMat.setRowType(RowType.T_INT_SPARSE);
    siMat.setPartitionNum(partNum);
    siMat.setPartitionerClass(HashPartitioner.class);
    angelClient.addMatrix(siMat);
    // add dense long matrix
    MatrixContext dlMat = new MatrixContext();
    dlMat.setName(DENSE_LONG_MAT);
    dlMat.setRowNum(rowNum);
    dlMat.setColNum(feaNum);
    dlMat.setMaxRowNumInBlock(blockRowNum);
    dlMat.setMaxColNumInBlock(blockColNum);
    dlMat.setRowType(RowType.T_LONG_DENSE);
    dlMat.setPartitionerClass(ColumnRangePartitioner.class);
    angelClient.addMatrix(dlMat);
    // add sparse long matrix
    MatrixContext slMat = new MatrixContext();
    slMat.setName(SPARSE_LONG_MAT);
    slMat.setRowNum(rowNum);
    slMat.setColNum(feaNum);
    slMat.setMaxRowNumInBlock(blockRowNum);
    slMat.setMaxColNumInBlock(blockColNum);
    slMat.setRowType(RowType.T_LONG_SPARSE);
    slMat.setPartitionNum(partNum);
    slMat.setPartitionerClass(HashPartitioner.class);
    angelClient.addMatrix(slMat);
    // add sparse long-key double matrix
    MatrixContext dLongKeysMatrix = new MatrixContext();
    dLongKeysMatrix.setName(SPARSE_DOUBLE_LONG_MAT);
    dLongKeysMatrix.setRowNum(rowNum);
    dLongKeysMatrix.setColNum(feaNum);
    dLongKeysMatrix.setMaxRowNumInBlock(blockRowNum);
    dLongKeysMatrix.setMaxColNumInBlock(blockColNum);
    dLongKeysMatrix.setRowType(RowType.T_DOUBLE_SPARSE_LONGKEY);
    angelClient.addMatrix(dLongKeysMatrix);
    // add sparse long-key float matrix
    MatrixContext slfMatrix = new MatrixContext();
    slfMatrix.setName(SPARSE_FLOAT_LONG_MAT);
    slfMatrix.setRowNum(rowNum);
    slfMatrix.setColNum(feaNum);
    slfMatrix.setMaxRowNumInBlock(blockRowNum);
    slfMatrix.setMaxColNumInBlock(blockColNum);
    slfMatrix.setRowType(RowType.T_FLOAT_SPARSE_LONGKEY);
    slfMatrix.setPartitionNum(partNum);
    slfMatrix.setPartitionerClass(HashPartitioner.class);
    angelClient.addMatrix(slfMatrix);
    // add sparse long-key int matrix
    MatrixContext sliMatrix = new MatrixContext();
    sliMatrix.setName(SPARSE_INT_LONG_MAT);
    sliMatrix.setRowNum(rowNum);
    sliMatrix.setColNum(feaNum);
    sliMatrix.setMaxRowNumInBlock(blockRowNum);
    sliMatrix.setMaxColNumInBlock(blockColNum);
    sliMatrix.setRowType(RowType.T_INT_SPARSE_LONGKEY);
    sliMatrix.setPartitionNum(partNum);
    sliMatrix.setPartitionerClass(HashPartitioner.class);
    angelClient.addMatrix(sliMatrix);
    // add sparse long-key long matrix
    MatrixContext sllMatrix = new MatrixContext();
    sllMatrix.setName(SPARSE_LONG_LONG_MAT);
    sllMatrix.setRowNum(rowNum);
    sllMatrix.setColNum(feaNum);
    sllMatrix.setMaxRowNumInBlock(blockRowNum);
    sllMatrix.setMaxColNumInBlock(blockColNum);
    sllMatrix.setRowType(RowType.T_LONG_SPARSE_LONGKEY);
    sllMatrix.setPartitionNum(partNum);
    sllMatrix.setPartitionerClass(HashPartitioner.class);
    angelClient.addMatrix(sllMatrix);
    // Start PS
    angelClient.startPSServer();
    // Start to run application
    angelClient.run();
    Thread.sleep(2000);
    psId = new ParameterServerId(0);
    psAttempt0Id = new PSAttemptId(psId, 0);
    WorkerGroupId workerGroupId = new WorkerGroupId(0);
    workerId = new WorkerId(workerGroupId, 0);
    workerAttempt0Id = new WorkerAttemptId(workerId, 0);
}

Example 23 with WorkerId

use of com.tencent.angel.worker.WorkerId in project angel by Tencent.

the class MasterRecoverTest method setup.

@Before
public void setup() throws Exception {
    try {
        // set basic configuration keys
        Configuration conf = new Configuration();
        conf.setBoolean("mapred.mapper.new-api", true);
        conf.setBoolean(AngelConf.ANGEL_JOB_OUTPUT_PATH_DELETEONEXIST, true);
        conf.set(AngelConf.ANGEL_TASK_USER_TASKCLASS, DummyTask.class.getName());
        // use local deploy mode and dummy dataspliter
        conf.set(AngelConf.ANGEL_DEPLOY_MODE, "LOCAL");
        conf.setBoolean(AngelConf.ANGEL_AM_USE_DUMMY_DATASPLITER, true);
        conf.set(AngelConf.ANGEL_INPUTFORMAT_CLASS, CombineTextInputFormat.class.getName());
        conf.set(AngelConf.ANGEL_SAVE_MODEL_PATH, LOCAL_FS + TMP_PATH + "/out");
        conf.set(AngelConf.ANGEL_TRAIN_DATA_PATH, LOCAL_FS + TMP_PATH + "/in");
        conf.set(AngelConf.ANGEL_LOG_PATH, LOCAL_FS + TMP_PATH + "/log");
        conf.setInt(AngelConf.ANGEL_WORKERGROUP_NUMBER, 1);
        conf.setInt(AngelConf.ANGEL_PS_NUMBER, 1);
        conf.setInt(AngelConf.ANGEL_WORKER_TASK_NUMBER, 2);
        conf.setInt(AngelConf.ANGEL_AM_WRITE_STATE_INTERVAL_MS, 1000);
        conf.setInt(AngelConf.ANGEL_WORKER_HEARTBEAT_INTERVAL_MS, 1000);
        conf.setInt(AngelConf.ANGEL_PS_HEARTBEAT_INTERVAL_MS, 1000);
        // get a angel client
        angelClient = AngelClientFactory.get(conf);
        // add matrix
        MatrixContext mMatrix = new MatrixContext();
        mMatrix.setName("w1");
        mMatrix.setRowNum(1);
        mMatrix.setColNum(100000);
        mMatrix.setMaxRowNumInBlock(1);
        mMatrix.setMaxColNumInBlock(50000);
        mMatrix.setRowType(RowType.T_INT_DENSE);
        mMatrix.set(MatrixConf.MATRIX_OPLOG_ENABLEFILTER, "false");
        mMatrix.set(MatrixConf.MATRIX_HOGWILD, "true");
        mMatrix.set(MatrixConf.MATRIX_AVERAGE, "false");
        mMatrix.set(MatrixConf.MATRIX_OPLOG_TYPE, "DENSE_INT");
        angelClient.addMatrix(mMatrix);
        MatrixContext mMatrix2 = new MatrixContext();
        mMatrix2.setName("w2");
        mMatrix2.setRowNum(1);
        mMatrix2.setColNum(100000);
        mMatrix2.setMaxRowNumInBlock(1);
        mMatrix2.setMaxColNumInBlock(50000);
        mMatrix2.setRowType(RowType.T_DOUBLE_DENSE);
        mMatrix2.set(MatrixConf.MATRIX_OPLOG_ENABLEFILTER, "false");
        mMatrix2.set(MatrixConf.MATRIX_HOGWILD, "false");
        mMatrix2.set(MatrixConf.MATRIX_AVERAGE, "false");
        mMatrix2.set(MatrixConf.MATRIX_OPLOG_TYPE, "DENSE_DOUBLE");
        angelClient.addMatrix(mMatrix2);
        angelClient.startPSServer();
        angelClient.run();
        Thread.sleep(5000);
        group0Id = new WorkerGroupId(0);
        worker0Id = new WorkerId(group0Id, 0);
        worker0Attempt0Id = new WorkerAttemptId(worker0Id, 0);
        task0Id = new TaskId(0);
        task1Id = new TaskId(1);
        psId = new ParameterServerId(0);
        psAttempt0Id = new PSAttemptId(psId, 0);
    } catch (Exception x) {
        LOG.error("setup failed ", x);
        throw x;
    }
}

Example 24 with WorkerId

use of com.tencent.angel.worker.WorkerId in project angel by Tencent.

the class UpdatePSFTest method setup.

@Before
public void setup() throws Exception {
    // set basic configuration keys
    Configuration conf = new Configuration();
    conf.setBoolean("mapred.mapper.new-api", true);
    conf.setBoolean(AngelConf.ANGEL_JOB_OUTPUT_PATH_DELETEONEXIST, true);
    conf.set(AngelConf.ANGEL_TASK_USER_TASKCLASS, DummyTask.class.getName());
    // use local deploy mode and dummy dataspliter
    conf.set(AngelConf.ANGEL_DEPLOY_MODE, "LOCAL");
    conf.setBoolean(AngelConf.ANGEL_AM_USE_DUMMY_DATASPLITER, true);
    conf.set(AngelConf.ANGEL_INPUTFORMAT_CLASS, CombineTextInputFormat.class.getName());
    conf.set(AngelConf.ANGEL_SAVE_MODEL_PATH, LOCAL_FS + TMP_PATH + "/out");
    conf.set(AngelConf.ANGEL_TRAIN_DATA_PATH, LOCAL_FS + TMP_PATH + "/in");
    conf.set(AngelConf.ANGEL_LOG_PATH, LOCAL_FS + TMP_PATH + "/log");
    conf.setInt(AngelConf.ANGEL_WORKERGROUP_NUMBER, 1);
    conf.setInt(AngelConf.ANGEL_PS_NUMBER, 1);
    conf.setInt(AngelConf.ANGEL_WORKER_TASK_NUMBER, 1);
    conf.setInt(AngelConf.ANGEL_MODEL_PARTITIONER_PARTITION_SIZE, 1000);
    conf.setInt(AngelConf.ANGEL_PSAGENT_CACHE_SYNC_TIMEINTERVAL_MS, 10);
    conf.setInt(AngelConf.ANGEL_WORKER_HEARTBEAT_INTERVAL_MS, 1000);
    conf.setInt(AngelConf.ANGEL_PS_HEARTBEAT_INTERVAL_MS, 1000);
    conf.setBoolean("use.new.split", true);
    conf.setInt(AngelConf.ANGEL_WORKER_MAX_ATTEMPTS, 1);
    conf.setInt(AngelConf.ANGEL_PS_MAX_ATTEMPTS, 1);
    // get a angel client
    angelClient = AngelClientFactory.get(conf);
    // add dense double matrix
    MatrixContext dMat = new MatrixContext();
    dMat.setName(DENSE_DOUBLE_MAT);
    dMat.setRowNum(1);
    dMat.setColNum(feaNum);
    dMat.setMaxColNumInBlock(feaNum / 3);
    dMat.setRowType(RowType.T_DOUBLE_DENSE);
    dMat.setPartitionerClass(ColumnRangePartitioner.class);
    angelClient.addMatrix(dMat);
    // add sparse double matrix
    MatrixContext sMat = new MatrixContext();
    sMat.setName(SPARSE_DOUBLE_MAT);
    sMat.setRowNum(1);
    sMat.setColNum(feaNum);
    sMat.setMaxColNumInBlock(feaNum);
    sMat.setRowType(RowType.T_DOUBLE_SPARSE);
    angelClient.addMatrix(sMat);
    // add dense float matrix
    MatrixContext dfMat = new MatrixContext();
    dfMat.setName(DENSE_FLOAT_MAT);
    dfMat.setRowNum(1);
    dfMat.setColNum(feaNum);
    dfMat.setMaxColNumInBlock(feaNum / 3);
    dfMat.setRowType(RowType.T_FLOAT_DENSE);
    dfMat.setPartitionerClass(ColumnRangePartitioner.class);
    angelClient.addMatrix(dfMat);
    // add sparse float matrix
    MatrixContext sfMat = new MatrixContext();
    sfMat.setName(SPARSE_FLOAT_MAT);
    sfMat.setRowNum(1);
    sfMat.setColNum(feaNum);
    sfMat.setMaxColNumInBlock(feaNum / 3);
    sfMat.setRowType(RowType.T_FLOAT_SPARSE);
    angelClient.addMatrix(sfMat);
    // add dense float matrix
    MatrixContext diMat = new MatrixContext();
    diMat.setName(DENSE_INT_MAT);
    diMat.setRowNum(1);
    diMat.setColNum(feaNum);
    diMat.setMaxColNumInBlock(feaNum / 3);
    diMat.setRowType(RowType.T_INT_DENSE);
    diMat.setPartitionerClass(ColumnRangePartitioner.class);
    angelClient.addMatrix(diMat);
    // add sparse float matrix
    MatrixContext siMat = new MatrixContext();
    siMat.setName(SPARSE_INT_MAT);
    siMat.setRowNum(1);
    siMat.setColNum(feaNum);
    siMat.setMaxColNumInBlock(feaNum / 3);
    siMat.setRowType(RowType.T_INT_SPARSE);
    angelClient.addMatrix(siMat);
    // add dense long matrix
    MatrixContext dlMat = new MatrixContext();
    dlMat.setName(DENSE_LONG_MAT);
    dlMat.setRowNum(1);
    dlMat.setColNum(feaNum);
    dlMat.setMaxColNumInBlock(feaNum / 3);
    dlMat.setRowType(RowType.T_LONG_DENSE);
    dlMat.setPartitionerClass(ColumnRangePartitioner.class);
    angelClient.addMatrix(dlMat);
    // add sparse long matrix
    MatrixContext slMat = new MatrixContext();
    slMat.setName(SPARSE_LONG_MAT);
    slMat.setRowNum(1);
    slMat.setColNum(feaNum);
    slMat.setMaxColNumInBlock(feaNum / 3);
    slMat.setRowType(RowType.T_LONG_SPARSE);
    angelClient.addMatrix(slMat);
    // add sparse long-key float matrix
    MatrixContext sldMatrix = new MatrixContext();
    sldMatrix.setName(SPARSE_DOUBLE_LONG_MAT);
    sldMatrix.setRowNum(1);
    sldMatrix.setColNum(feaNum);
    sldMatrix.setMaxColNumInBlock(feaNum / 3);
    sldMatrix.setRowType(RowType.T_DOUBLE_SPARSE_LONGKEY);
    angelClient.addMatrix(sldMatrix);
    // add sparse long-key float matrix
    MatrixContext slfMatrix = new MatrixContext();
    slfMatrix.setName(SPARSE_FLOAT_LONG_MAT);
    slfMatrix.setRowNum(1);
    slfMatrix.setColNum(feaNum);
    slfMatrix.setMaxColNumInBlock(feaNum / 3);
    slfMatrix.setRowType(RowType.T_FLOAT_SPARSE_LONGKEY);
    angelClient.addMatrix(slfMatrix);
    // add sparse long-key int matrix
    MatrixContext sliMatrix = new MatrixContext();
    sliMatrix.setName(SPARSE_INT_LONG_MAT);
    sliMatrix.setRowNum(1);
    sliMatrix.setColNum(feaNum);
    sliMatrix.setMaxColNumInBlock(feaNum / 3);
    sliMatrix.setRowType(RowType.T_INT_SPARSE_LONGKEY);
    angelClient.addMatrix(sliMatrix);
    // add sparse long-key long matrix
    MatrixContext sllMatrix = new MatrixContext();
    sllMatrix.setName(SPARSE_LONG_LONG_MAT);
    sllMatrix.setRowNum(1);
    sllMatrix.setColNum(feaNum);
    sllMatrix.setMaxColNumInBlock(feaNum / 3);
    sllMatrix.setRowType(RowType.T_LONG_SPARSE_LONGKEY);
    angelClient.addMatrix(sllMatrix);
    // Start PS
    angelClient.startPSServer();
    // Start to run application
    angelClient.run();
    Thread.sleep(5000);
    psId = new ParameterServerId(0);
    psAttempt0Id = new PSAttemptId(psId, 0);
    WorkerGroupId workerGroupId = new WorkerGroupId(0);
    workerId = new WorkerId(workerGroupId, 0);
    workerAttempt0Id = new WorkerAttemptId(workerId, 0);
}

Example 25 with WorkerId

use of com.tencent.angel.worker.WorkerId in project angel by Tencent.

the class UpdateRowsTest method setup.

@Before
public void setup() throws Exception {
    // set basic configuration keys
    Configuration conf = new Configuration();
    conf.setBoolean("mapred.mapper.new-api", true);
    conf.setBoolean(AngelConf.ANGEL_JOB_OUTPUT_PATH_DELETEONEXIST, true);
    conf.set(AngelConf.ANGEL_TASK_USER_TASKCLASS, DummyTask.class.getName());
    // use local deploy mode and dummy dataspliter
    conf.set(AngelConf.ANGEL_DEPLOY_MODE, "LOCAL");
    conf.setBoolean(AngelConf.ANGEL_AM_USE_DUMMY_DATASPLITER, true);
    conf.set(AngelConf.ANGEL_INPUTFORMAT_CLASS, CombineTextInputFormat.class.getName());
    conf.set(AngelConf.ANGEL_SAVE_MODEL_PATH, LOCAL_FS + TMP_PATH + "/out");
    conf.set(AngelConf.ANGEL_TRAIN_DATA_PATH, LOCAL_FS + TMP_PATH + "/in");
    conf.set(AngelConf.ANGEL_LOG_PATH, LOCAL_FS + TMP_PATH + "/log");
    conf.setInt(AngelConf.ANGEL_WORKERGROUP_NUMBER, 1);
    conf.setInt(AngelConf.ANGEL_PS_NUMBER, 2);
    conf.setInt(AngelConf.ANGEL_WORKER_TASK_NUMBER, 1);
    conf.setInt(AngelConf.ANGEL_MODEL_PARTITIONER_PARTITION_SIZE, 1000);
    conf.setBoolean("use.new.split", false);
    conf.setInt(AngelConf.ANGEL_PSAGENT_CACHE_SYNC_TIMEINTERVAL_MS, 10);
    conf.setInt(AngelConf.ANGEL_WORKER_HEARTBEAT_INTERVAL_MS, 1000);
    conf.setInt(AngelConf.ANGEL_PS_HEARTBEAT_INTERVAL_MS, 1000);
    conf.setInt(AngelConf.ANGEL_WORKER_MAX_ATTEMPTS, 1);
    conf.setInt(AngelConf.ANGEL_PS_MAX_ATTEMPTS, 1);
    // get a angel client
    angelClient = AngelClientFactory.get(conf);
    // add dense double matrix
    MatrixContext dMat = new MatrixContext();
    dMat.setName(DENSE_DOUBLE_MAT);
    dMat.setRowNum(rowNum);
    dMat.setColNum(feaNum);
    dMat.setMaxRowNumInBlock(blockRowNum);
    dMat.setMaxColNumInBlock(blockColNum);
    dMat.setRowType(RowType.T_DOUBLE_DENSE);
    dMat.setPartitionerClass(ColumnRangePartitioner.class);
    angelClient.addMatrix(dMat);
    // add sparse double matrix
    MatrixContext sMat = new MatrixContext();
    sMat.setName(SPARSE_DOUBLE_MAT);
    sMat.setRowNum(rowNum);
    sMat.setColNum(feaNum);
    sMat.setMaxRowNumInBlock(blockRowNum);
    sMat.setMaxColNumInBlock(blockColNum);
    sMat.setRowType(RowType.T_DOUBLE_SPARSE);
    angelClient.addMatrix(sMat);
    // add dense float matrix
    MatrixContext dfMat = new MatrixContext();
    dfMat.setName(DENSE_FLOAT_MAT);
    dfMat.setRowNum(rowNum);
    dfMat.setColNum(feaNum);
    dfMat.setMaxRowNumInBlock(blockRowNum);
    dfMat.setMaxColNumInBlock(blockColNum);
    dfMat.setRowType(RowType.T_FLOAT_DENSE);
    dfMat.setPartitionerClass(ColumnRangePartitioner.class);
    angelClient.addMatrix(dfMat);
    // add sparse float matrix
    MatrixContext sfMat = new MatrixContext();
    sfMat.setName(SPARSE_FLOAT_MAT);
    sfMat.setRowNum(rowNum);
    sfMat.setColNum(feaNum);
    sfMat.setMaxRowNumInBlock(blockRowNum);
    sfMat.setMaxColNumInBlock(blockColNum);
    sfMat.setRowType(RowType.T_FLOAT_SPARSE);
    angelClient.addMatrix(sfMat);
    // add dense float matrix
    MatrixContext diMat = new MatrixContext();
    diMat.setName(DENSE_INT_MAT);
    diMat.setRowNum(rowNum);
    diMat.setColNum(feaNum);
    diMat.setMaxRowNumInBlock(blockRowNum);
    diMat.setMaxColNumInBlock(blockColNum);
    diMat.setRowType(RowType.T_INT_DENSE);
    diMat.setPartitionerClass(ColumnRangePartitioner.class);
    angelClient.addMatrix(diMat);
    // add sparse float matrix
    MatrixContext siMat = new MatrixContext();
    siMat.setName(SPARSE_INT_MAT);
    siMat.setRowNum(rowNum);
    siMat.setColNum(feaNum);
    siMat.setMaxRowNumInBlock(blockRowNum);
    siMat.setMaxColNumInBlock(blockColNum);
    siMat.setRowType(RowType.T_INT_SPARSE);
    angelClient.addMatrix(siMat);
    // add dense long matrix
    MatrixContext dlMat = new MatrixContext();
    dlMat.setName(DENSE_LONG_MAT);
    dlMat.setRowNum(rowNum);
    dlMat.setColNum(feaNum);
    dlMat.setMaxRowNumInBlock(blockRowNum);
    dlMat.setMaxColNumInBlock(blockColNum);
    dlMat.setRowType(RowType.T_LONG_DENSE);
    dlMat.setPartitionerClass(ColumnRangePartitioner.class);
    angelClient.addMatrix(dlMat);
    // add sparse long matrix
    MatrixContext slMat = new MatrixContext();
    slMat.setName(SPARSE_LONG_MAT);
    slMat.setRowNum(rowNum);
    slMat.setColNum(feaNum);
    slMat.setMaxRowNumInBlock(blockRowNum);
    slMat.setMaxColNumInBlock(blockColNum);
    slMat.setRowType(RowType.T_LONG_SPARSE);
    angelClient.addMatrix(slMat);
    // add sparse long-key double matrix
    MatrixContext dLongKeysMatrix = new MatrixContext();
    dLongKeysMatrix.setName(SPARSE_DOUBLE_LONG_MAT);
    dLongKeysMatrix.setRowNum(rowNum);
    dLongKeysMatrix.setColNum(feaNum);
    dLongKeysMatrix.setMaxRowNumInBlock(blockRowNum);
    dLongKeysMatrix.setMaxColNumInBlock(blockColNum);
    dLongKeysMatrix.setRowType(RowType.T_DOUBLE_SPARSE_LONGKEY);
    angelClient.addMatrix(dLongKeysMatrix);
    // add sparse long-key float matrix
    MatrixContext slfMatrix = new MatrixContext();
    slfMatrix.setName(SPARSE_FLOAT_LONG_MAT);
    slfMatrix.setRowNum(rowNum);
    slfMatrix.setColNum(feaNum);
    slfMatrix.setMaxRowNumInBlock(blockRowNum);
    slfMatrix.setMaxColNumInBlock(blockColNum);
    slfMatrix.setRowType(RowType.T_FLOAT_SPARSE_LONGKEY);
    angelClient.addMatrix(slfMatrix);
    // add sparse long-key int matrix
    MatrixContext sliMatrix = new MatrixContext();
    sliMatrix.setName(SPARSE_INT_LONG_MAT);
    sliMatrix.setRowNum(rowNum);
    sliMatrix.setColNum(feaNum);
    sliMatrix.setMaxRowNumInBlock(blockRowNum);
    sliMatrix.setMaxColNumInBlock(blockColNum);
    sliMatrix.setRowType(RowType.T_INT_SPARSE_LONGKEY);
    angelClient.addMatrix(sliMatrix);
    // add sparse long-key long matrix
    MatrixContext sllMatrix = new MatrixContext();
    sllMatrix.setName(SPARSE_LONG_LONG_MAT);
    sllMatrix.setRowNum(rowNum);
    sllMatrix.setColNum(feaNum);
    sllMatrix.setMaxRowNumInBlock(blockRowNum);
    sllMatrix.setMaxColNumInBlock(blockColNum);
    sllMatrix.setRowType(RowType.T_LONG_SPARSE_LONGKEY);
    angelClient.addMatrix(sllMatrix);
    // Start PS
    angelClient.startPSServer();
    // Start to run application
    angelClient.run();
    Thread.sleep(5000);
    psId = new ParameterServerId(0);
    psAttempt0Id = new PSAttemptId(psId, 0);
    WorkerGroupId workerGroupId = new WorkerGroupId(0);
    workerId = new WorkerId(workerGroupId, 0);
    workerAttempt0Id = new WorkerAttemptId(workerId, 0);
}