use of org.apache.hadoop.yarn.api.records.timelineservice.TimelineMetric in project hadoop by apache.
the class JobHistoryEventUtils method countersToTimelineMetric.
public static Set<TimelineMetric> countersToTimelineMetric(Counters counters, long timestamp, String groupNamePrefix) {
Set<TimelineMetric> entityMetrics = new HashSet<TimelineMetric>();
for (CounterGroup g : counters) {
String groupName = g.getName();
for (Counter c : g) {
String name = groupNamePrefix + groupName + ":" + c.getName();
TimelineMetric metric = new TimelineMetric();
metric.setId(name);
metric.addValue(timestamp, c.getValue());
entityMetrics.add(metric);
}
}
return entityMetrics;
}
use of org.apache.hadoop.yarn.api.records.timelineservice.TimelineMetric in project hadoop by apache.
the class TimelineEntityConverterV2 method addMetrics.
private void addMetrics(TimelineEntity entity, Counters counters) {
for (CounterGroup g : counters) {
String groupName = g.getName();
for (Counter c : g) {
String name = groupName + ":" + c.getName();
TimelineMetric metric = new TimelineMetric();
metric.setId(name);
metric.addValue(System.currentTimeMillis(), c.getValue());
entity.addMetric(metric);
}
}
}
use of org.apache.hadoop.yarn.api.records.timelineservice.TimelineMetric 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.TimelineMetric in project hadoop by apache.
the class TestHBaseStorageFlowRun method testWriteFlowRunsMetricFields.
@Test
public void testWriteFlowRunsMetricFields() throws Exception {
String cluster = "testWriteFlowRunsMetricFields_cluster1";
String user = "testWriteFlowRunsMetricFields_user1";
String flow = "testWriteFlowRunsMetricFields_flow_name";
String flowVersion = "CF7022C10F1354";
long runid = 1002345678919L;
TimelineEntities te = new TimelineEntities();
TimelineEntity entityApp1 = TestFlowDataGenerator.getEntityMetricsApp1(System.currentTimeMillis());
te.addEntity(entityApp1);
HBaseTimelineWriterImpl hbi = null;
Configuration c1 = util.getConfiguration();
try {
hbi = new HBaseTimelineWriterImpl();
hbi.init(c1);
String appName = "application_11111111111111_1111";
hbi.write(cluster, user, flow, flowVersion, runid, appName, te);
// write another application with same metric to this flow
te = new TimelineEntities();
TimelineEntity entityApp2 = TestFlowDataGenerator.getEntityMetricsApp2(System.currentTimeMillis());
te.addEntity(entityApp2);
appName = "application_11111111111111_2222";
hbi.write(cluster, user, flow, flowVersion, runid, appName, te);
hbi.flush();
} finally {
if (hbi != null) {
hbi.close();
}
}
// check flow run
checkFlowRunTable(cluster, user, flow, runid, c1);
// use the timeline reader to verify data
HBaseTimelineReaderImpl hbr = null;
try {
hbr = new HBaseTimelineReaderImpl();
hbr.init(c1);
hbr.start();
Set<TimelineEntity> entities = hbr.getEntities(new TimelineReaderContext(cluster, user, flow, runid, null, TimelineEntityType.YARN_FLOW_RUN.toString(), null), new TimelineEntityFilters(), new TimelineDataToRetrieve());
assertEquals(1, entities.size());
for (TimelineEntity timelineEntity : entities) {
assertEquals(0, timelineEntity.getMetrics().size());
}
entities = hbr.getEntities(new TimelineReaderContext(cluster, user, flow, runid, null, TimelineEntityType.YARN_FLOW_RUN.toString(), null), new TimelineEntityFilters(), new TimelineDataToRetrieve(null, null, EnumSet.of(Field.METRICS), null));
assertEquals(1, entities.size());
for (TimelineEntity timelineEntity : entities) {
Set<TimelineMetric> timelineMetrics = timelineEntity.getMetrics();
assertEquals(2, timelineMetrics.size());
for (TimelineMetric metric : timelineMetrics) {
String id = metric.getId();
Map<Long, Number> values = metric.getValues();
assertEquals(1, values.size());
Number value = null;
for (Number n : values.values()) {
value = n;
}
switch(id) {
case METRIC1:
assertEquals(141L, value);
break;
case METRIC2:
assertEquals(57L, value);
break;
default:
fail("unrecognized metric: " + id);
}
}
}
} finally {
if (hbr != null) {
hbr.close();
}
}
}
use of org.apache.hadoop.yarn.api.records.timelineservice.TimelineMetric in project hadoop by apache.
the class DataGeneratorForTest method loadEntities.
static void loadEntities(HBaseTestingUtility util) throws IOException {
TimelineEntities te = new TimelineEntities();
TimelineEntity entity = new TimelineEntity();
String id = "hello";
String type = "world";
entity.setId(id);
entity.setType(type);
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", 71.4);
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<String>();
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, 70000000000L);
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);
TimelineEntity entity1 = new TimelineEntity();
String id1 = "hello1";
entity1.setId(id1);
entity1.setType(type);
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 event.
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);
// 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<String>();
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);
te.addEntity(entity1);
TimelineEntity entity2 = new TimelineEntity();
String id2 = "hello2";
entity2.setId(id2);
entity2.setType(type);
entity2.setCreatedTime(cTime + 40L);
TimelineEvent event21 = new TimelineEvent();
event21.setId("update_event");
event21.setTimestamp(ts - 20);
entity2.addEvent(event21);
Set<String> isRelatedToSet2 = new HashSet<>();
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<>();
relatesToSet14.add("relatesto7");
relatesTo3.put("container2", relatesToSet14);
entity2.setRelatesToEntities(relatesTo3);
te.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_1231111111_1111";
hbi.write(cluster, user, flow, flowVersion, runid, appName, te);
hbi.stop();
} finally {
if (hbi != null) {
hbi.stop();
hbi.close();
}
}
}
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