use of com.tencent.angel.worker.WorkerAttemptId 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);
}
use of com.tencent.angel.worker.WorkerAttemptId in project angel by Tencent.
the class MatrixMetaManagerTest method setup.
@BeforeClass
public static 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_WORKER_TASK_NUMBER, 2);
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);
// 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, RowType.T_DOUBLE_DENSE.name());
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, RowType.T_DOUBLE_DENSE.name());
angelClient.addMatrix(mMatrix2);
MatrixContext mMatrix3 = new MatrixContext();
mMatrix3.setName("w3");
mMatrix3.setRowNum(1);
mMatrix3.setColNum(100000);
mMatrix3.setMaxRowNumInBlock(1);
mMatrix3.setMaxColNumInBlock(50000);
mMatrix3.setRowType(RowType.T_FLOAT_SPARSE);
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;
}
}
use of com.tencent.angel.worker.WorkerAttemptId in project angel by Tencent.
the class GetRowTest 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.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(colmunSize);
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(colmunSize);
sMat.setRowType(RowType.T_DOUBLE_SPARSE);
sMat.setPartitionerClass(HashPartitioner.class);
angelClient.addMatrix(sMat);
// add dense float matrix
MatrixContext dfMat = new MatrixContext();
dfMat.setName(DENSE_FLOAT_MAT);
dfMat.setRowNum(1);
dfMat.setColNum(feaNum);
dfMat.setMaxColNumInBlock(colmunSize);
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(colmunSize);
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(colmunSize);
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(colmunSize);
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(colmunSize);
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(colmunSize);
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(1);
dLongKeysMatrix.setColNum(feaNum);
dLongKeysMatrix.setMaxColNumInBlock(colmunSize);
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(1);
slfMatrix.setColNum(feaNum);
slfMatrix.setMaxColNumInBlock(colmunSize);
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(colmunSize);
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(colmunSize);
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);
}
use of com.tencent.angel.worker.WorkerAttemptId in project angel by Tencent.
the class WorkerCounterBlock method render.
@Override
protected void render(Block html) {
set(TITLE, join("Angel WorkerCounterBlock", $(WORKER_ATTEMPT_ID)));
try {
WorkerAttemptId workerAttemptId = new WorkerAttemptId($(WORKER_ATTEMPT_ID));
Map<String, String> metricsMap = amContext.getWorkerManager().getWorker(workerAttemptId.getWorkerId()).getWorkerAttempt(workerAttemptId).getMetrics();
TABLE<Hamlet> worker_metrics_table = html.table();
html.h6($(WORKER_ATTEMPT_ID));
worker_metrics_table.tr().th(_TH, "NAME").th(_TH, "VALUE")._();
for (String key : metricsMap.keySet()) {
String value = metricsMap.get(key);
worker_metrics_table.tr().td(String.valueOf(key)).td(value)._();
}
worker_metrics_table._();
} catch (UnvalidIdStrException e) {
LOG.error("unvalid id string, ", e);
}
}
use of com.tencent.angel.worker.WorkerAttemptId in project angel by Tencent.
the class WorkerGroupBlock method render.
@Override
protected void render(Block html) {
String workerGroupIdSr = $(WORKERGROUP_ID);
if (workerGroupIdSr.isEmpty()) {
html.p()._("Sorry, can't do anything without a WorkerGroupId.")._();
return;
}
WorkerGroupId workerGroupId;
try {
workerGroupId = new WorkerGroupId(workerGroupIdSr);
} catch (UnvalidIdStrException e) {
LOG.error("unvalid id string, ", e);
return;
}
AMWorkerGroup workerGroup = amContext.getWorkerManager().getWorkerGroup(workerGroupId);
if (workerGroup == null) {
html.p()._("Sorry, can't find group " + workerGroupId)._();
return;
}
set(TITLE, join("Angel WorkerGroup ", $(WORKERGROUP_ID)));
html.h1(workerGroupIdSr);
TABLE<DIV<Hamlet>> table = html.div(_INFO_WRAP).table("#job");
TR<THEAD<TABLE<DIV<Hamlet>>>> headTr = table.thead().tr();
headTr.th(_TH, "id").th(_TH, "state").th(_TH, "node address").th(_TH, "start time").th(_TH, "end time").th(_TH, "elapsed time").th(_TH, "log").th(_TH, "threadstack").th(_TH, "workercounter");
headTr._()._();
TBODY<TABLE<DIV<Hamlet>>> tbody = table.tbody();
for (AMWorker worker : workerGroup.getWorkerSet()) {
Map<WorkerAttemptId, WorkerAttempt> workerAttempts = worker.getAttempts();
for (WorkerAttempt workerAttempt : workerAttempts.values()) {
TR<TBODY<TABLE<DIV<Hamlet>>>> tr = tbody.tr();
long elaspedTs = 0;
if (workerAttempt.getLaunchTime() != 0 && workerAttempt.getFinishTime() != 0) {
elaspedTs = workerAttempt.getFinishTime() - workerAttempt.getLaunchTime();
} else if (workerAttempt.getLaunchTime() != 0 && workerAttempt.getFinishTime() == 0) {
elaspedTs = System.currentTimeMillis() - workerAttempt.getLaunchTime();
}
if (workerAttempt.getNodeHttpAddr() == null) {
tr.td().a(url("angel/workerPage", workerAttempt.getId().toString()), workerAttempt.getId().toString())._().td(workerAttempt.getState().toString()).td("N/A").td((workerAttempt.getLaunchTime() == 0) ? "N/A" : new Date(workerAttempt.getLaunchTime()).toString()).td((workerAttempt.getFinishTime() == 0) ? "N/A" : new Date(workerAttempt.getFinishTime()).toString()).td((elaspedTs == 0) ? "N/A" : StringUtils.formatTime(elaspedTs)).td("N/A").td("N/A").td("N/A");
} else {
tr.td().a(url("angel/workerPage", workerAttempt.getId().toString()), workerAttempt.getId().toString())._().td(workerAttempt.getState().toString()).td().a(url(MRWebAppUtil.getYARNWebappScheme(), workerAttempt.getNodeHttpAddr()), workerAttempt.getNodeHttpAddr())._().td((workerAttempt.getLaunchTime() == 0) ? "N/A" : new Date(workerAttempt.getLaunchTime()).toString()).td((workerAttempt.getFinishTime() == 0) ? "N/A" : new Date(workerAttempt.getFinishTime()).toString()).td((elaspedTs == 0) ? "N/A" : StringUtils.formatTime(elaspedTs)).td().a(url(MRWebAppUtil.getYARNWebappScheme(), workerAttempt.getNodeHttpAddr(), "node", "containerlogs", workerAttempt.getContainerIdStr(), amContext.getUser().toString()), "log")._().td().a(url("angel/workerThreadStackPage/", workerAttempt.getId().toString()), "workerthreadstack")._().td().a(url("angel/workerCounterPage/", workerAttempt.getId().toString()), "workercounter")._();
}
tr._();
}
}
tbody._()._()._();
}
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