use of io.mantisrx.runtime.descriptor.StageSchedulingInfo in project mantis by Netflix.
the class MantisJobDefinition method validateSchedulingInfo.
private void validateSchedulingInfo(boolean schedulingInfoOptional) throws InvalidJobException {
if (schedulingInfoOptional && schedulingInfo == null)
return;
if (schedulingInfo == null)
throw new InvalidJobException("No scheduling info provided");
if (schedulingInfo.getStages() == null)
throw new InvalidJobException("No stages defined in scheduling info");
int numStages = schedulingInfo.getStages().size();
int startingIdx = 1;
if (schedulingInfo.forStage(0) != null) {
// jobMaster stage 0 definition exists, adjust index range
startingIdx = 0;
numStages--;
}
for (int i = startingIdx; i <= numStages; i++) {
StageSchedulingInfo stage = schedulingInfo.getStages().get(i);
if (stage == null)
throw new InvalidJobException("No definition for stage " + i + " in scheduling info for " + numStages + " stage job");
if (stage.getNumberOfInstances() < 1)
throw new InvalidJobException("Number of instance for stage " + i + " must be >0, not " + stage.getNumberOfInstances());
MachineDefinition machineDefinition = stage.getMachineDefinition();
if (machineDefinition.getCpuCores() <= 0)
throw new InvalidJobException("cpuCores must be >0.0, not " + machineDefinition.getCpuCores());
if (machineDefinition.getMemoryMB() <= 0)
throw new InvalidJobException("memory must be <0.0, not " + machineDefinition.getMemoryMB());
if (machineDefinition.getDiskMB() < 0)
throw new InvalidJobException("disk must be >=0, not " + machineDefinition.getDiskMB());
if (machineDefinition.getNumPorts() < 0)
throw new InvalidJobException("numPorts must be >=0, not " + machineDefinition.getNumPorts());
}
}
use of io.mantisrx.runtime.descriptor.StageSchedulingInfo in project mantis by Netflix.
the class JobActor method isAutoscaled.
private boolean isAutoscaled(SchedulingInfo schedulingInfo) {
LOGGER.trace("In isAutoscaled {}", schedulingInfo);
for (Map.Entry<Integer, StageSchedulingInfo> entry : schedulingInfo.getStages().entrySet()) {
final StageScalingPolicy scalingPolicy = entry.getValue().getScalingPolicy();
if (scalingPolicy != null && scalingPolicy.isEnabled()) {
LOGGER.info("Job {} is autoscaleable", jobId);
return true;
}
}
LOGGER.info("Job {} is NOT scaleable", jobId);
return false;
}
use of io.mantisrx.runtime.descriptor.StageSchedulingInfo in project mantis by Netflix.
the class JobsRoute method validateSubmitJobRequest.
/**
* @return true to indicate valid, false otherwise. The String holds the error message when the request is invalid
*/
private Pair<Boolean, String> validateSubmitJobRequest(MantisJobDefinition mjd, Optional<String> clusterNameInResource) {
if (null == mjd) {
logger.error("rejecting job submit request, job definition is malformed {}", mjd);
return Pair.apply(false, "Malformed job definition.");
}
// must include job cluster name
if (mjd.getName() == null || mjd.getName().length() == 0) {
logger.info("rejecting job submit request, must include name {}", mjd);
return Pair.apply(false, "Job definition must include name");
}
// validate specified job cluster name matches with what specified in REST resource endpoint
if (clusterNameInResource.isPresent()) {
if (!clusterNameInResource.get().equals(mjd.getName())) {
String msg = String.format("Cluster name specified in request payload [%s] " + "does not match with what specified in resource endpoint [%s]", mjd.getName(), clusterNameInResource.get());
logger.info("rejecting job submit request, {} {}", msg, mjd);
return Pair.apply(false, msg);
}
}
// validate scheduling info
SchedulingInfo schedulingInfo = mjd.getSchedulingInfo();
if (schedulingInfo != null) {
Map<Integer, StageSchedulingInfo> stages = schedulingInfo.getStages();
if (stages != null) {
for (StageSchedulingInfo stageSchedInfo : stages.values()) {
double cpuCores = stageSchedInfo.getMachineDefinition().getCpuCores();
int maxCpuCores = ConfigurationProvider.getConfig().getWorkerMachineDefinitionMaxCpuCores();
if (cpuCores > maxCpuCores) {
logger.info("rejecting job submit request, requested CPU {} > max for {} (user: {}) (stage: {})", cpuCores, mjd.getName(), mjd.getUser(), stages);
return Pair.apply(false, "requested CPU cannot be more than max CPU per worker " + maxCpuCores);
}
double memoryMB = stageSchedInfo.getMachineDefinition().getMemoryMB();
int maxMemoryMB = ConfigurationProvider.getConfig().getWorkerMachineDefinitionMaxMemoryMB();
if (memoryMB > maxMemoryMB) {
logger.info("rejecting job submit request, requested memory {} > max for {} (user: {}) (stage: {})", memoryMB, mjd.getName(), mjd.getUser(), stages);
return Pair.apply(false, "requested memory cannot be more than max memoryMB per worker " + maxMemoryMB);
}
double networkMbps = stageSchedInfo.getMachineDefinition().getNetworkMbps();
int maxNetworkMbps = ConfigurationProvider.getConfig().getWorkerMachineDefinitionMaxNetworkMbps();
if (networkMbps > maxNetworkMbps) {
logger.info("rejecting job submit request, requested network {} > max for {} (user: {}) (stage: {})", networkMbps, mjd.getName(), mjd.getUser(), stages);
return Pair.apply(false, "requested network cannot be more than max networkMbps per worker " + maxNetworkMbps);
}
int numberOfInstances = stageSchedInfo.getNumberOfInstances();
int maxWorkersPerStage = ConfigurationProvider.getConfig().getMaxWorkersPerStage();
if (numberOfInstances > maxWorkersPerStage) {
logger.info("rejecting job submit request, requested num instances {} > max for {} (user: {}) (stage: {})", numberOfInstances, mjd.getName(), mjd.getUser(), stages);
return Pair.apply(false, "requested number of instances per stage cannot be more than " + maxWorkersPerStage);
}
StageScalingPolicy scalingPolicy = stageSchedInfo.getScalingPolicy();
if (scalingPolicy != null) {
if (scalingPolicy.getMax() > maxWorkersPerStage) {
logger.info("rejecting job submit request, requested num instances in scaling policy {} > max for {} (user: {}) (stage: {})", numberOfInstances, mjd.getName(), mjd.getUser(), stages);
return Pair.apply(false, "requested number of instances per stage in scaling policy cannot be more than " + maxWorkersPerStage);
}
}
}
}
}
return Pair.apply(true, "");
}
use of io.mantisrx.runtime.descriptor.StageSchedulingInfo in project mantis by Netflix.
the class JobDefinition method validateSchedulingInfo.
private void validateSchedulingInfo(boolean schedulingInfoOptional) throws InvalidJobException {
if (schedulingInfoOptional && schedulingInfo == null)
return;
if (schedulingInfo == null)
throw new InvalidJobException("No scheduling info provided");
if (schedulingInfo.getStages() == null)
throw new InvalidJobException("No stages defined in scheduling info");
int withNumberOfStages = schedulingInfo.getStages().size();
int startingIdx = 1;
if (schedulingInfo.forStage(0) != null) {
// jobMaster stage 0 definition exists, adjust index range
startingIdx = 0;
withNumberOfStages--;
}
for (int i = startingIdx; i <= withNumberOfStages; i++) {
StageSchedulingInfo stage = schedulingInfo.getStages().get(i);
if (stage == null)
throw new InvalidJobException("No definition for stage " + i + " in scheduling info for " + withNumberOfStages + " stage job");
if (stage.getNumberOfInstances() < 1)
throw new InvalidJobException("Number of instance for stage " + i + " must be >0, not " + stage.getNumberOfInstances());
MachineDefinition machineDefinition = stage.getMachineDefinition();
if (machineDefinition.getCpuCores() <= 0)
throw new InvalidJobException("cpuCores must be >0.0, not " + machineDefinition.getCpuCores());
if (machineDefinition.getMemoryMB() <= 0)
throw new InvalidJobException("memory must be <0.0, not " + machineDefinition.getMemoryMB());
if (machineDefinition.getDiskMB() < 0)
throw new InvalidJobException("disk must be >=0, not " + machineDefinition.getDiskMB());
if (machineDefinition.getNumPorts() < 0)
throw new InvalidJobException("numPorts must be >=0, not " + machineDefinition.getNumPorts());
}
}
use of io.mantisrx.runtime.descriptor.StageSchedulingInfo in project mantis by Netflix.
the class WorkerExecutionOperationsNetworkStage method executeStage.
@SuppressWarnings({ "rawtypes", "unchecked" })
@Override
public void executeStage(final ExecutionDetails setup) {
ExecuteStageRequest executionRequest = setup.getExecuteStageRequest().getRequest();
// Initialize the schedulingInfo observable for current job and mark it shareable to be reused by anyone interested in this data.
// Observable<JobSchedulingInfo> selfSchedulingInfo = mantisMasterApi.schedulingChanges(executionRequest.getJobId()).switchMap((e) -> Observable.just(e).repeatWhen(x -> x.delay(5 , TimeUnit.SECONDS))).subscribeOn(Schedulers.io()).share();
Observable<JobSchedulingInfo> selfSchedulingInfo = mantisMasterApi.schedulingChanges(executionRequest.getJobId()).subscribeOn(Schedulers.io()).share();
WorkerInfo workerInfo = generateWorkerInfo(executionRequest.getJobName(), executionRequest.getJobId(), executionRequest.getStage(), executionRequest.getWorkerIndex(), executionRequest.getWorkerNumber(), executionRequest.getDurationType(), "host", executionRequest.getWorkerPorts());
final Observable<Integer> sourceStageTotalWorkersObs = createSourceStageTotalWorkersObservable(selfSchedulingInfo);
RunningWorker.Builder rwBuilder = new RunningWorker.Builder().job(setup.getMantisJob()).schedulingInfo(executionRequest.getSchedulingInfo()).stageTotalWorkersObservable(sourceStageTotalWorkersObs).jobName(executionRequest.getJobName()).stageNum(executionRequest.getStage()).workerIndex(executionRequest.getWorkerIndex()).workerNum(executionRequest.getWorkerNumber()).totalStages(executionRequest.getTotalNumStages()).metricsPort(executionRequest.getMetricsPort()).ports(executionRequest.getPorts().iterator()).jobStatusObserver(setup.getStatus()).requestSubject(setup.getExecuteStageRequest().getRequestSubject()).workerInfo(workerInfo).vmTaskStatusObservable(vmTaskStatusObserver).hasJobMaster(executionRequest.getHasJobMaster()).jobId(executionRequest.getJobId());
if (executionRequest.getStage() == 0) {
rwBuilder = rwBuilder.stage(new JobMasterStageConfig("jobmasterconfig"));
} else {
rwBuilder = rwBuilder.stage((StageConfig) setup.getMantisJob().getStages().get(executionRequest.getStage() - 1));
}
final RunningWorker rw = rwBuilder.build();
AtomicReference<SubscriptionStateHandler> subscriptionStateHandlerRef = new AtomicReference<>();
if (rw.getStageNum() == rw.getTotalStagesNet()) {
// set up subscription state handler only for sink (last) stage
subscriptionStateHandlerRef.set(setupSubscriptionStateHandler(setup.getExecuteStageRequest().getRequest().getJobId(), mantisMasterApi, setup.getExecuteStageRequest().getRequest().getSubscriptionTimeoutSecs(), setup.getExecuteStageRequest().getRequest().getMinRuntimeSecs()));
}
logger.info("Running worker info: " + rw);
rw.signalStartedInitiated();
try {
logger.info(">>>>>>>>>>>>>>>>Calling lifecycle.startup()");
Lifecycle lifecycle = rw.getJob().getLifecycle();
lifecycle.startup();
ServiceLocator serviceLocator = lifecycle.getServiceLocator();
if (lookupSpectatorRegistry) {
try {
final Registry spectatorRegistry = serviceLocator.service(Registry.class);
SpectatorRegistryFactory.setRegistry(spectatorRegistry);
} catch (Throwable t) {
logger.error("failed to init spectator registry using service locator, falling back to {}", SpectatorRegistryFactory.getRegistry().getClass().getCanonicalName());
}
}
// create job context
Parameters parameters = ParameterUtils.createContextParameters(rw.getJob().getParameterDefinitions(), setup.getParameters());
final Context context = generateContext(parameters, serviceLocator, workerInfo, MetricsRegistry.getInstance(), () -> {
rw.signalCompleted();
// wait for completion signal to go to the master and us getting killed. Upon timeout, exit.
try {
Thread.sleep(60000);
} catch (InterruptedException ie) {
logger.warn("Unexpected exception sleeping: " + ie.getMessage());
}
System.exit(0);
}, createWorkerMapObservable(selfSchedulingInfo, executionRequest.getJobName(), executionRequest.getJobId(), executionRequest.getDurationType()));
// context.setPrevStageCompletedObservable(createPrevStageCompletedObservable(selfSchedulingInfo, rw.getJobId(), rw.getStageNum()));
rw.setContext(context);
// setup heartbeats
heartbeatRef.set(new Heartbeat(rw.getJobId(), rw.getStageNum(), rw.getWorkerIndex(), rw.getWorkerNum()));
final double networkMbps = executionRequest.getSchedulingInfo().forStage(rw.getStageNum()).getMachineDefinition().getNetworkMbps();
startSendingHeartbeats(rw.getJobStatus(), new WorkerId(executionRequest.getJobId(), executionRequest.getWorkerIndex(), executionRequest.getWorkerNumber()).getId(), networkMbps);
// execute stage
if (rw.getStageNum() == 0) {
logger.info("JobId: " + rw.getJobId() + ", executing Job Master");
final AutoScaleMetricsConfig autoScaleMetricsConfig = new AutoScaleMetricsConfig();
// Temporary workaround to enable auto-scaling by custom metric in Job Master. This will be revisited to get the entire autoscaling config
// for a job as a System parameter in the JobMaster
final String autoScaleMetricString = (String) parameters.get(JOB_MASTER_AUTOSCALE_METRIC_SYSTEM_PARAM, "");
if (!Strings.isNullOrEmpty(autoScaleMetricString)) {
final List<String> tokens = Splitter.on("::").omitEmptyStrings().trimResults().splitToList(autoScaleMetricString);
if (tokens.size() == 3) {
final String metricGroup = tokens.get(0);
final String metricName = tokens.get(1);
final String algo = tokens.get(2);
try {
final AutoScaleMetricsConfig.AggregationAlgo aggregationAlgo = AutoScaleMetricsConfig.AggregationAlgo.valueOf(algo);
logger.info("registered UserDefined auto scale metric {}:{} algo {}", metricGroup, metricName, aggregationAlgo);
autoScaleMetricsConfig.addUserDefinedMetric(metricGroup, metricName, aggregationAlgo);
} catch (IllegalArgumentException e) {
final String errorMsg = String.format("ERROR: Invalid algorithm value %s for param %s (algo should be one of %s)", autoScaleMetricsConfig, JOB_MASTER_AUTOSCALE_METRIC_SYSTEM_PARAM, Arrays.stream(AutoScaleMetricsConfig.AggregationAlgo.values()).map(a -> a.name()).collect(Collectors.toList()));
logger.error(errorMsg);
throw new RuntimeException(errorMsg);
}
} else {
final String errorMsg = String.format("ERROR: Invalid value %s for param %s", autoScaleMetricString, JOB_MASTER_AUTOSCALE_METRIC_SYSTEM_PARAM);
logger.error(errorMsg);
throw new RuntimeException(errorMsg);
}
} else {
logger.info("param {} is null or empty", JOB_MASTER_AUTOSCALE_METRIC_SYSTEM_PARAM);
}
final JobMasterService jobMasterService = new JobMasterService(rw.getJobId(), rw.getSchedulingInfo(), workerMetricsClient, autoScaleMetricsConfig, mantisMasterApi, rw.getContext(), rw.getOnCompleteCallback(), rw.getOnErrorCallback(), rw.getOnTerminateCallback());
jobMasterService.start();
signalStarted(rw, subscriptionStateHandlerRef);
// block until worker terminates
rw.waitUntilTerminate();
} else if (rw.getStageNum() == 1 && rw.getTotalStagesNet() == 1) {
logger.info("JobId: " + rw.getJobId() + ", single stage job, executing entire job");
// single stage, execute entire job on this machine
PortSelector portSelector = new PortSelector() {
@Override
public int acquirePort() {
return rw.getPorts().next();
}
};
RxMetrics rxMetrics = new RxMetrics();
StageExecutors.executeSingleStageJob(rw.getJob().getSource(), rw.getStage(), rw.getJob().getSink(), portSelector, rxMetrics, rw.getContext(), rw.getOnTerminateCallback(), rw.getWorkerIndex(), rw.getSourceStageTotalWorkersObservable(), onSinkSubscribe, onSinkUnsubscribe, rw.getOnCompleteCallback(), rw.getOnErrorCallback());
signalStarted(rw, subscriptionStateHandlerRef);
// block until worker terminates
rw.waitUntilTerminate();
} else {
logger.info("JobId: " + rw.getJobId() + ", executing a multi-stage job, stage: " + rw.getStageNum());
if (rw.getStageNum() == 1) {
// execute source stage
String remoteObservableName = rw.getJobId() + "_" + rw.getStageNum();
StageSchedulingInfo currentStageSchedulingInfo = rw.getSchedulingInfo().forStage(1);
WorkerPublisherRemoteObservable publisher = new WorkerPublisherRemoteObservable<>(rw.getPorts().next(), remoteObservableName, numWorkersAtStage(selfSchedulingInfo, rw.getJobId(), rw.getStageNum() + 1), rw.getJobName());
StageExecutors.executeSource(rw.getWorkerIndex(), rw.getJob().getSource(), rw.getStage(), publisher, rw.getContext(), rw.getSourceStageTotalWorkersObservable());
logger.info("JobId: " + rw.getJobId() + " stage: " + rw.getStageNum() + ", serving remote observable for source with name: " + remoteObservableName);
RemoteRxServer server = publisher.getServer();
RxMetrics rxMetrics = server.getMetrics();
MetricsRegistry.getInstance().registerAndGet(rxMetrics.getCountersAndGauges());
signalStarted(rw, subscriptionStateHandlerRef);
logger.info("JobId: " + rw.getJobId() + " stage: " + rw.getStageNum() + ", blocking until source observable completes");
server.blockUntilServerShutdown();
} else {
// execute intermediate stage or last stage plus sink
executeNonSourceStage(selfSchedulingInfo, rw, subscriptionStateHandlerRef);
}
}
logger.info("Calling lifecycle.shutdown()");
lifecycle.shutdown();
} catch (Throwable t) {
rw.signalFailed(t);
shutdownStage();
}
}
Aggregations