use of org.apache.hadoop.yarn.api.records.timelineservice.TimelineEntity in project hadoop by apache.
the class SimpleEntityWriterV2 method writeEntities.
protected void writeEntities(Configuration tlConf, TimelineCollectorManager manager, Context context) throws IOException {
Configuration conf = context.getConfiguration();
// simulate the app id with the task id
int taskId = context.getTaskAttemptID().getTaskID().getId();
long timestamp = conf.getLong(TIMELINE_SERVICE_PERFORMANCE_RUN_ID, 0);
ApplicationId appId = ApplicationId.newInstance(timestamp, taskId);
// create the app level timeline collector
AppLevelTimelineCollector collector = new AppLevelTimelineCollector(appId);
manager.putIfAbsent(appId, collector);
try {
// set the context
// flow id: job name, flow run id: timestamp, user id
TimelineCollectorContext tlContext = collector.getTimelineEntityContext();
tlContext.setFlowName(context.getJobName());
tlContext.setFlowRunId(timestamp);
tlContext.setUserId(context.getUser());
final int kbs = conf.getInt(KBS_SENT, KBS_SENT_DEFAULT);
long totalTime = 0;
final int testtimes = conf.getInt(TEST_TIMES, TEST_TIMES_DEFAULT);
final Random rand = new Random();
final TaskAttemptID taskAttemptId = context.getTaskAttemptID();
final char[] payLoad = new char[kbs * 1024];
for (int i = 0; i < testtimes; i++) {
// Generate a fixed length random payload
for (int xx = 0; xx < kbs * 1024; xx++) {
int alphaNumIdx = rand.nextInt(ALPHA_NUMS.length);
payLoad[xx] = ALPHA_NUMS[alphaNumIdx];
}
String entId = taskAttemptId + "_" + Integer.toString(i);
final TimelineEntity entity = new TimelineEntity();
entity.setId(entId);
entity.setType("FOO_ATTEMPT");
entity.addInfo("PERF_TEST", payLoad);
// add an event
TimelineEvent event = new TimelineEvent();
event.setId("foo_event_id");
event.setTimestamp(System.currentTimeMillis());
event.addInfo("foo_event", "test");
entity.addEvent(event);
// add a metric
TimelineMetric metric = new TimelineMetric();
metric.setId("foo_metric");
metric.addValue(System.currentTimeMillis(), 123456789L);
entity.addMetric(metric);
// add a config
entity.addConfig("foo", "bar");
TimelineEntities entities = new TimelineEntities();
entities.addEntity(entity);
// use the current user for this purpose
UserGroupInformation ugi = UserGroupInformation.getCurrentUser();
long startWrite = System.nanoTime();
try {
collector.putEntities(entities, ugi);
} catch (Exception e) {
context.getCounter(PerfCounters.TIMELINE_SERVICE_WRITE_FAILURES).increment(1);
LOG.error("writing to the timeline service failed", e);
}
long endWrite = System.nanoTime();
totalTime += TimeUnit.NANOSECONDS.toMillis(endWrite - startWrite);
}
LOG.info("wrote " + testtimes + " entities (" + kbs * testtimes + " kB) in " + totalTime + " ms");
context.getCounter(PerfCounters.TIMELINE_SERVICE_WRITE_TIME).increment(totalTime);
context.getCounter(PerfCounters.TIMELINE_SERVICE_WRITE_COUNTER).increment(testtimes);
context.getCounter(PerfCounters.TIMELINE_SERVICE_WRITE_KBS).increment(kbs * testtimes);
} finally {
// clean up
manager.remove(appId);
}
}
use of org.apache.hadoop.yarn.api.records.timelineservice.TimelineEntity in project hadoop by apache.
the class TestSystemMetricsPublisherForV2 method verifyEntity.
private static void verifyEntity(File entityFile, long expectedEvents, String eventForCreatedTime, long expectedMetrics) throws IOException {
BufferedReader reader = null;
String strLine;
long count = 0;
long metricsCount = 0;
try {
reader = new BufferedReader(new FileReader(entityFile));
while ((strLine = reader.readLine()) != null) {
if (strLine.trim().length() > 0) {
TimelineEntity entity = FileSystemTimelineReaderImpl.getTimelineRecordFromJSON(strLine.trim(), TimelineEntity.class);
metricsCount = entity.getMetrics().size();
for (TimelineEvent event : entity.getEvents()) {
if (event.getId().equals(eventForCreatedTime)) {
assertTrue(entity.getCreatedTime() > 0);
break;
}
}
count++;
}
}
} finally {
reader.close();
}
assertEquals("Expected " + expectedEvents + " events to be published", expectedEvents, count);
assertEquals("Expected " + expectedMetrics + " metrics is incorrect", expectedMetrics, metricsCount);
}
use of org.apache.hadoop.yarn.api.records.timelineservice.TimelineEntity in project hadoop by apache.
the class TimelineReaderWebServices method getFlowRun.
/**
* Return a single flow run for given UID which is a delimited string
* containing clusterid, userid, flow name and flowrun id.
*
* @param req Servlet request.
* @param res Servlet response.
* @param uId a delimited string containing clusterid, userid, flow name and
* flowrun id which are extracted from UID and then used to query backend
* (Mandatory path param).
* @param metricsToRetrieve If specified, defines which metrics to retrieve
* and send back in response.
*
* @return If successful, a HTTP 200(OK) response having a JSON representing a
* <cite>FlowRunEntity</cite> instance is returned. By default, all
* metrics for the flow run will be returned.<br>
* On failures,<br>
* If any problem occurs in parsing request or UID is incorrect,
* HTTP 400(Bad Request) is returned.<br>
* If flow run for the given flow run id cannot be found, HTTP 404
* (Not Found) is returned.<br>
* For all other errors while retrieving data, HTTP 500(Internal Server
* Error) is returned.
*/
@GET
@Path("/run-uid/{uid}/")
@Produces(MediaType.APPLICATION_JSON + "; " + JettyUtils.UTF_8)
public TimelineEntity getFlowRun(@Context HttpServletRequest req, @Context HttpServletResponse res, @PathParam("uid") String uId, @QueryParam("metricstoretrieve") String metricsToRetrieve) {
String url = req.getRequestURI() + (req.getQueryString() == null ? "" : QUERY_STRING_SEP + req.getQueryString());
UserGroupInformation callerUGI = TimelineReaderWebServicesUtils.getUser(req);
LOG.info("Received URL " + url + " from user " + TimelineReaderWebServicesUtils.getUserName(callerUGI));
long startTime = Time.monotonicNow();
init(res);
TimelineReaderManager timelineReaderManager = getTimelineReaderManager();
TimelineEntity entity = null;
try {
TimelineReaderContext context = TimelineUIDConverter.FLOWRUN_UID.decodeUID(uId);
if (context == null) {
throw new BadRequestException("Incorrect UID " + uId);
}
context.setEntityType(TimelineEntityType.YARN_FLOW_RUN.toString());
entity = timelineReaderManager.getEntity(context, TimelineReaderWebServicesUtils.createTimelineDataToRetrieve(null, metricsToRetrieve, null, null));
} catch (Exception e) {
handleException(e, url, startTime, "flowrunid");
}
long endTime = Time.monotonicNow();
if (entity == null) {
LOG.info("Processed URL " + url + " but flowrun not found (Took " + (endTime - startTime) + " ms.)");
throw new NotFoundException("Flowrun with uid: " + uId + "is not found");
}
LOG.info("Processed URL " + url + " (Took " + (endTime - startTime) + " ms.)");
return entity;
}
use of org.apache.hadoop.yarn.api.records.timelineservice.TimelineEntity in project hadoop by apache.
the class TimelineReaderWebServices method getApp.
/**
* Return a single app for given cluster id and app id. If userid, flow name
* and flowrun id which are optional query parameters are not specified, they
* will be queried based on app id and cluster id from the flow context
* information stored in underlying storage implementation.
*
* @param req Servlet request.
* @param res Servlet response.
* @param clusterId Cluster id to which the app to be queried belong to(
* Mandatory path param).
* @param appId Application id to be queried(Mandatory path param).
* @param flowName Flow name which should match for the app(Optional query
* param).
* @param flowRunId Run id which should match for the app(Optional query
* param).
* @param userId User id which should match for the app(Optional query param).
* @param confsToRetrieve If specified, defines which configurations to
* retrieve and send back in response. These configs will be retrieved
* irrespective of whether configs are specified in fields to retrieve or
* not.
* @param metricsToRetrieve If specified, defines which metrics to retrieve
* and send back in response. These metrics will be retrieved
* irrespective of whether metrics are specified in fields to retrieve or
* not.
* @param fields Specifies which fields of the app entity object to retrieve,
* see {@link Field}. All fields will be retrieved if fields=ALL. If not
* specified, 3 fields i.e. entity type(equivalent to YARN_APPLICATION),
* app id and app created time is returned(Optional query param).
* @param metricsLimit If specified, defines the number of metrics to return.
* Considered only if fields contains METRICS/ALL or metricsToRetrieve is
* specified. Ignored otherwise. The maximum possible value for
* metricsLimit can be {@link Integer#MAX_VALUE}. If it is not specified
* or has a value less than 1, and metrics have to be retrieved, then
* metricsLimit will be considered as 1 i.e. latest single value of
* metric(s) will be returned. (Optional query param).
*
* @return If successful, a HTTP 200(OK) response having a JSON representing a
* <cite>TimelineEntity</cite> instance is returned.<br>
* On failures,<br>
* If any problem occurs in parsing request, HTTP 400(Bad Request) is
* returned.<br>
* If flow context information cannot be retrieved or app for the given
* app id cannot be found, HTTP 404(Not Found) is returned.<br>
* For all other errors while retrieving data, HTTP 500(Internal Server
* Error) is returned.
*/
@GET
@Path("/clusters/{clusterid}/apps/{appid}/")
@Produces(MediaType.APPLICATION_JSON + "; " + JettyUtils.UTF_8)
public TimelineEntity getApp(@Context HttpServletRequest req, @Context HttpServletResponse res, @PathParam("clusterid") String clusterId, @PathParam("appid") String appId, @QueryParam("flowname") String flowName, @QueryParam("flowrunid") String flowRunId, @QueryParam("userid") String userId, @QueryParam("confstoretrieve") String confsToRetrieve, @QueryParam("metricstoretrieve") String metricsToRetrieve, @QueryParam("fields") String fields, @QueryParam("metricslimit") String metricsLimit) {
String url = req.getRequestURI() + (req.getQueryString() == null ? "" : QUERY_STRING_SEP + req.getQueryString());
UserGroupInformation callerUGI = TimelineReaderWebServicesUtils.getUser(req);
LOG.info("Received URL " + url + " from user " + TimelineReaderWebServicesUtils.getUserName(callerUGI));
long startTime = Time.monotonicNow();
init(res);
TimelineReaderManager timelineReaderManager = getTimelineReaderManager();
TimelineEntity entity = null;
try {
entity = timelineReaderManager.getEntity(TimelineReaderWebServicesUtils.createTimelineReaderContext(clusterId, userId, flowName, flowRunId, appId, TimelineEntityType.YARN_APPLICATION.toString(), null), TimelineReaderWebServicesUtils.createTimelineDataToRetrieve(confsToRetrieve, metricsToRetrieve, fields, metricsLimit));
} catch (Exception e) {
handleException(e, url, startTime, "flowrunid");
}
long endTime = Time.monotonicNow();
if (entity == null) {
LOG.info("Processed URL " + url + " but app not found" + " (Took " + (endTime - startTime) + " ms.)");
throw new NotFoundException("App " + appId + " not found");
}
LOG.info("Processed URL " + url + " (Took " + (endTime - startTime) + " ms.)");
return entity;
}
use of org.apache.hadoop.yarn.api.records.timelineservice.TimelineEntity in project hadoop by apache.
the class DataGeneratorForTest method loadApps.
static void loadApps(HBaseTestingUtility util) throws IOException {
TimelineEntities te = new TimelineEntities();
TimelineEntity entity = new TimelineEntity();
String id = "application_1111111111_2222";
entity.setId(id);
entity.setType(TimelineEntityType.YARN_APPLICATION.toString());
Long cTime = 1425016502000L;
entity.setCreatedTime(cTime);
// add the info map in Timeline Entity
Map<String, Object> infoMap = new HashMap<>();
infoMap.put("infoMapKey1", "infoMapValue2");
infoMap.put("infoMapKey2", 20);
infoMap.put("infoMapKey3", 85.85);
entity.addInfo(infoMap);
// add the isRelatedToEntity info
Set<String> isRelatedToSet = new HashSet<>();
isRelatedToSet.add("relatedto1");
Map<String, Set<String>> isRelatedTo = new HashMap<>();
isRelatedTo.put("task", isRelatedToSet);
entity.setIsRelatedToEntities(isRelatedTo);
// add the relatesTo info
Set<String> relatesToSet = new HashSet<>();
relatesToSet.add("relatesto1");
relatesToSet.add("relatesto3");
Map<String, Set<String>> relatesTo = new HashMap<>();
relatesTo.put("container", relatesToSet);
Set<String> relatesToSet11 = new HashSet<>();
relatesToSet11.add("relatesto4");
relatesTo.put("container1", relatesToSet11);
entity.setRelatesToEntities(relatesTo);
// add some config entries
Map<String, String> conf = new HashMap<>();
conf.put("config_param1", "value1");
conf.put("config_param2", "value2");
conf.put("cfg_param1", "value3");
entity.addConfigs(conf);
// add metrics
Set<TimelineMetric> metrics = new HashSet<>();
TimelineMetric m1 = new TimelineMetric();
m1.setId("MAP_SLOT_MILLIS");
Map<Long, Number> metricValues = new HashMap<>();
long ts = System.currentTimeMillis();
metricValues.put(ts - 120000, 100000000);
metricValues.put(ts - 100000, 200000000);
metricValues.put(ts - 80000, 300000000);
metricValues.put(ts - 60000, 400000000);
metricValues.put(ts - 40000, 50000000000L);
metricValues.put(ts - 20000, 60000000000L);
m1.setType(Type.TIME_SERIES);
m1.setValues(metricValues);
metrics.add(m1);
TimelineMetric m12 = new TimelineMetric();
m12.setId("MAP1_BYTES");
m12.addValue(ts, 50);
metrics.add(m12);
entity.addMetrics(metrics);
TimelineEvent event = new TimelineEvent();
event.setId("start_event");
event.setTimestamp(ts);
entity.addEvent(event);
te.addEntity(entity);
TimelineEntities te1 = new TimelineEntities();
TimelineEntity entity1 = new TimelineEntity();
String id1 = "application_1111111111_3333";
entity1.setId(id1);
entity1.setType(TimelineEntityType.YARN_APPLICATION.toString());
entity1.setCreatedTime(cTime + 20L);
// add the info map in Timeline Entity
Map<String, Object> infoMap1 = new HashMap<>();
infoMap1.put("infoMapKey1", "infoMapValue1");
infoMap1.put("infoMapKey2", 10);
entity1.addInfo(infoMap1);
// add the isRelatedToEntity info
Set<String> isRelatedToSet1 = new HashSet<>();
isRelatedToSet1.add("relatedto3");
isRelatedToSet1.add("relatedto5");
Map<String, Set<String>> isRelatedTo1 = new HashMap<>();
isRelatedTo1.put("task1", isRelatedToSet1);
Set<String> isRelatedToSet11 = new HashSet<>();
isRelatedToSet11.add("relatedto4");
isRelatedTo1.put("task2", isRelatedToSet11);
entity1.setIsRelatedToEntities(isRelatedTo1);
// add the relatesTo info
Set<String> relatesToSet1 = new HashSet<>();
relatesToSet1.add("relatesto1");
relatesToSet1.add("relatesto2");
Map<String, Set<String>> relatesTo1 = new HashMap<>();
relatesTo1.put("container", relatesToSet1);
entity1.setRelatesToEntities(relatesTo1);
// add some config entries
Map<String, String> conf1 = new HashMap<>();
conf1.put("cfg_param1", "value1");
conf1.put("cfg_param2", "value2");
entity1.addConfigs(conf1);
// add metrics
Set<TimelineMetric> metrics1 = new HashSet<>();
TimelineMetric m2 = new TimelineMetric();
m2.setId("MAP1_SLOT_MILLIS");
Map<Long, Number> metricValues1 = new HashMap<>();
long ts1 = System.currentTimeMillis();
metricValues1.put(ts1 - 120000, 100000000);
metricValues1.put(ts1 - 100000, 200000000);
metricValues1.put(ts1 - 80000, 300000000);
metricValues1.put(ts1 - 60000, 400000000);
metricValues1.put(ts1 - 40000, 50000000000L);
metricValues1.put(ts1 - 20000, 60000000000L);
m2.setType(Type.TIME_SERIES);
m2.setValues(metricValues1);
metrics1.add(m2);
entity1.addMetrics(metrics1);
TimelineEvent event11 = new TimelineEvent();
event11.setId("end_event");
event11.setTimestamp(ts);
entity1.addEvent(event11);
TimelineEvent event12 = new TimelineEvent();
event12.setId("update_event");
event12.setTimestamp(ts - 10);
entity1.addEvent(event12);
te1.addEntity(entity1);
TimelineEntities te2 = new TimelineEntities();
TimelineEntity entity2 = new TimelineEntity();
String id2 = "application_1111111111_4444";
entity2.setId(id2);
entity2.setType(TimelineEntityType.YARN_APPLICATION.toString());
entity2.setCreatedTime(cTime + 40L);
TimelineEvent event21 = new TimelineEvent();
event21.setId("update_event");
event21.setTimestamp(ts - 20);
entity2.addEvent(event21);
Set<String> isRelatedToSet2 = new HashSet<String>();
isRelatedToSet2.add("relatedto3");
Map<String, Set<String>> isRelatedTo2 = new HashMap<>();
isRelatedTo2.put("task1", isRelatedToSet2);
entity2.setIsRelatedToEntities(isRelatedTo2);
Map<String, Set<String>> relatesTo3 = new HashMap<>();
Set<String> relatesToSet14 = new HashSet<String>();
relatesToSet14.add("relatesto7");
relatesTo3.put("container2", relatesToSet14);
entity2.setRelatesToEntities(relatesTo3);
te2.addEntity(entity2);
HBaseTimelineWriterImpl hbi = null;
try {
hbi = new HBaseTimelineWriterImpl();
hbi.init(util.getConfiguration());
hbi.start();
String cluster = "cluster1";
String user = "user1";
String flow = "some_flow_name";
String flowVersion = "AB7822C10F1111";
long runid = 1002345678919L;
String appName = "application_1111111111_2222";
hbi.write(cluster, user, flow, flowVersion, runid, appName, te);
appName = "application_1111111111_3333";
hbi.write(cluster, user, flow, flowVersion, runid, appName, te1);
appName = "application_1111111111_4444";
hbi.write(cluster, user, flow, flowVersion, runid, appName, te2);
hbi.stop();
} finally {
if (hbi != null) {
hbi.stop();
hbi.close();
}
}
}
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