Examples with MatrixContext com.tencent.angel.ml.matrix.MatrixContext used on opensource projects

Example 36 with MatrixContext

use of com.tencent.angel.ml.matrix.MatrixContext in project angel by Tencent.

the class ModelContextUtils method createMatrixContext.

public static MatrixContext createMatrixContext(ModelContext context, RowType rowType, Class<? extends IElement> elemClass, int rowNum) {
    if (rowType.isComplexValue() && elemClass == null) {
        throw new InvalidParameterException("Complex value type must set element class type");
    }
    MatrixContext mc = new MatrixContext();
    mc.setName(context.getModelName());
    mc.setRowNum(rowNum);
    mc.setRowType(rowType);
    mc.setPartitionNum(context.getPartitionNum());
    mc.setValidIndexNum(context.getNodeNum());
    if (elemClass != null) {
        mc.setValueType(elemClass);
    }
    if (context.isUseHashPartition()) {
        mc.setPartitionerClass(HashPartitioner.class);
    } else {
        mc.setIndexStart(context.getMinNodeId());
        mc.setIndexEnd(context.getMaxNodeId());
        mc.setPartitionerClass(ColumnRangePartitioner.class);
        if (context.getPartitionNum() > 0) {
            mc.setMaxRowNumInBlock(rowNum);
            mc.setMaxColNumInBlock((context.getMaxNodeId() - context.getMinNodeId()) / context.getPartitionNum());
        }
    }
    return mc;
}

Example 37 with MatrixContext

use of com.tencent.angel.ml.matrix.MatrixContext 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 38 with MatrixContext

use of com.tencent.angel.ml.matrix.MatrixContext in project angel by Tencent.

the class AppTest 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_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);
        angelClient.startPSServer();
        angelClient.runTask(DummyTask.class);
        Thread.sleep(5000);
        task0Id = new TaskId(0);
        task1Id = new TaskId(1);
    } catch (Exception x) {
        LOG.error("setup failed ", x);
        throw x;
    }
}

Example 39 with MatrixContext

use of com.tencent.angel.ml.matrix.MatrixContext 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 40 with MatrixContext

use of com.tencent.angel.ml.matrix.MatrixContext 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);
}