use of org.apache.hadoop.yarn.server.timelineservice.storage.application.ApplicationRowKey in project hadoop by apache.
the class TestHBaseTimelineStorageApps method isApplicationRowKeyCorrect.
private boolean isApplicationRowKeyCorrect(byte[] rowKey, String cluster, String user, String flow, Long runid, String appName) {
ApplicationRowKey key = ApplicationRowKey.parseRowKey(rowKey);
assertEquals(cluster, key.getClusterId());
assertEquals(user, key.getUserId());
assertEquals(flow, key.getFlowName());
assertEquals(runid, key.getFlowRunId());
assertEquals(appName, key.getAppId());
return true;
}
use of org.apache.hadoop.yarn.server.timelineservice.storage.application.ApplicationRowKey in project hadoop by apache.
the class TestHBaseTimelineStorageApps method testWriteApplicationToHBase.
@Test
public void testWriteApplicationToHBase() throws Exception {
TimelineEntities te = new TimelineEntities();
ApplicationEntity entity = new ApplicationEntity();
String appId = "application_1000178881110_2002";
entity.setId(appId);
Long cTime = 1425016501000L;
entity.setCreatedTime(cTime);
// add the info map in Timeline Entity
Map<String, Object> infoMap = new HashMap<String, Object>();
infoMap.put("infoMapKey1", "infoMapValue1");
infoMap.put("infoMapKey2", 10);
entity.addInfo(infoMap);
// add the isRelatedToEntity info
String key = "task";
String value = "is_related_to_entity_id_here";
Set<String> isRelatedToSet = new HashSet<String>();
isRelatedToSet.add(value);
Map<String, Set<String>> isRelatedTo = new HashMap<String, Set<String>>();
isRelatedTo.put(key, isRelatedToSet);
entity.setIsRelatedToEntities(isRelatedTo);
// add the relatesTo info
key = "container";
value = "relates_to_entity_id_here";
Set<String> relatesToSet = new HashSet<String>();
relatesToSet.add(value);
value = "relates_to_entity_id_here_Second";
relatesToSet.add(value);
Map<String, Set<String>> relatesTo = new HashMap<String, Set<String>>();
relatesTo.put(key, relatesToSet);
entity.setRelatesToEntities(relatesTo);
// add some config entries
Map<String, String> conf = new HashMap<String, String>();
conf.put("config_param1", "value1");
conf.put("config_param2", "value2");
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, Number>();
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);
entity.addMetrics(metrics);
// add aggregated metrics
TimelineEntity aggEntity = new TimelineEntity();
String type = TimelineEntityType.YARN_APPLICATION.toString();
aggEntity.setId(appId);
aggEntity.setType(type);
long cTime2 = 1425016502000L;
aggEntity.setCreatedTime(cTime2);
TimelineMetric aggMetric = new TimelineMetric();
aggMetric.setId("MEM_USAGE");
Map<Long, Number> aggMetricValues = new HashMap<Long, Number>();
long aggTs = ts;
aggMetricValues.put(aggTs - 120000, 102400000L);
aggMetric.setType(Type.SINGLE_VALUE);
aggMetric.setRealtimeAggregationOp(TimelineMetricOperation.SUM);
aggMetric.setValues(aggMetricValues);
Set<TimelineMetric> aggMetrics = new HashSet<>();
aggMetrics.add(aggMetric);
entity.addMetrics(aggMetrics);
te.addEntity(entity);
HBaseTimelineWriterImpl hbi = null;
try {
Configuration c1 = util.getConfiguration();
hbi = new HBaseTimelineWriterImpl();
hbi.init(c1);
hbi.start();
String cluster = "cluster_test_write_app";
String user = "user1";
String flow = "s!ome_f\tlow _n am!e";
String flowVersion = "AB7822C10F1111";
long runid = 1002345678919L;
hbi.write(cluster, user, flow, flowVersion, runid, appId, te);
// Write entity again, this time without created time.
entity = new ApplicationEntity();
appId = "application_1000178881110_2002";
entity.setId(appId);
// add the info map in Timeline Entity
Map<String, Object> infoMap1 = new HashMap<>();
infoMap1.put("infoMapKey3", "infoMapValue1");
entity.addInfo(infoMap1);
te = new TimelineEntities();
te.addEntity(entity);
hbi.write(cluster, user, flow, flowVersion, runid, appId, te);
hbi.stop();
infoMap.putAll(infoMap1);
// retrieve the row
ApplicationRowKey applicationRowKey = new ApplicationRowKey(cluster, user, flow, runid, appId);
byte[] rowKey = applicationRowKey.getRowKey();
Get get = new Get(rowKey);
get.setMaxVersions(Integer.MAX_VALUE);
Connection conn = ConnectionFactory.createConnection(c1);
Result result = new ApplicationTable().getResult(c1, conn, get);
assertTrue(result != null);
assertEquals(17, result.size());
// check the row key
byte[] row1 = result.getRow();
assertTrue(isApplicationRowKeyCorrect(row1, cluster, user, flow, runid, appId));
// check info column family
String id1 = ApplicationColumn.ID.readResult(result).toString();
assertEquals(appId, id1);
Long cTime1 = (Long) ApplicationColumn.CREATED_TIME.readResult(result);
assertEquals(cTime, cTime1);
Map<String, Object> infoColumns = ApplicationColumnPrefix.INFO.readResults(result, new StringKeyConverter());
assertEquals(infoMap, infoColumns);
// Remember isRelatedTo is of type Map<String, Set<String>>
for (Map.Entry<String, Set<String>> isRelatedToEntry : isRelatedTo.entrySet()) {
Object isRelatedToValue = ApplicationColumnPrefix.IS_RELATED_TO.readResult(result, isRelatedToEntry.getKey());
String compoundValue = isRelatedToValue.toString();
// id7?id9?id6
Set<String> isRelatedToValues = new HashSet<String>(Separator.VALUES.splitEncoded(compoundValue));
assertEquals(isRelatedTo.get(isRelatedToEntry.getKey()).size(), isRelatedToValues.size());
for (String v : isRelatedToEntry.getValue()) {
assertTrue(isRelatedToValues.contains(v));
}
}
// RelatesTo
for (Map.Entry<String, Set<String>> relatesToEntry : relatesTo.entrySet()) {
String compoundValue = ApplicationColumnPrefix.RELATES_TO.readResult(result, relatesToEntry.getKey()).toString();
// id3?id4?id5
Set<String> relatesToValues = new HashSet<String>(Separator.VALUES.splitEncoded(compoundValue));
assertEquals(relatesTo.get(relatesToEntry.getKey()).size(), relatesToValues.size());
for (String v : relatesToEntry.getValue()) {
assertTrue(relatesToValues.contains(v));
}
}
KeyConverter<String> stringKeyConverter = new StringKeyConverter();
// Configuration
Map<String, Object> configColumns = ApplicationColumnPrefix.CONFIG.readResults(result, stringKeyConverter);
assertEquals(conf, configColumns);
NavigableMap<String, NavigableMap<Long, Number>> metricsResult = ApplicationColumnPrefix.METRIC.readResultsWithTimestamps(result, stringKeyConverter);
NavigableMap<Long, Number> metricMap = metricsResult.get(m1.getId());
matchMetrics(metricValues, metricMap);
// read the timeline entity using the reader this time. In metrics limit
// specify Integer MAX_VALUE. A TIME_SERIES will be returned(if more than
// one value exists for a metric).
TimelineEntity e1 = reader.getEntity(new TimelineReaderContext(cluster, user, flow, runid, appId, entity.getType(), entity.getId()), new TimelineDataToRetrieve(null, null, EnumSet.of(TimelineReader.Field.ALL), Integer.MAX_VALUE));
assertNotNull(e1);
// verify attributes
assertEquals(appId, e1.getId());
assertEquals(TimelineEntityType.YARN_APPLICATION.toString(), e1.getType());
assertEquals(cTime, e1.getCreatedTime());
Map<String, Object> infoMap2 = e1.getInfo();
assertEquals(infoMap, infoMap2);
Map<String, Set<String>> isRelatedTo2 = e1.getIsRelatedToEntities();
assertEquals(isRelatedTo, isRelatedTo2);
Map<String, Set<String>> relatesTo2 = e1.getRelatesToEntities();
assertEquals(relatesTo, relatesTo2);
Map<String, String> conf2 = e1.getConfigs();
assertEquals(conf, conf2);
Set<TimelineMetric> metrics2 = e1.getMetrics();
assertEquals(2, metrics2.size());
for (TimelineMetric metric2 : metrics2) {
Map<Long, Number> metricValues2 = metric2.getValues();
assertTrue(metric2.getId().equals("MAP_SLOT_MILLIS") || metric2.getId().equals("MEM_USAGE"));
if (metric2.getId().equals("MAP_SLOT_MILLIS")) {
assertEquals(6, metricValues2.size());
matchMetrics(metricValues, metricValues2);
}
if (metric2.getId().equals("MEM_USAGE")) {
assertEquals(1, metricValues2.size());
matchMetrics(aggMetricValues, metricValues2);
}
}
// In metrics limit specify a value of 3. No more than 3 values for a
// metric will be returned.
e1 = reader.getEntity(new TimelineReaderContext(cluster, user, flow, runid, appId, entity.getType(), entity.getId()), new TimelineDataToRetrieve(null, null, EnumSet.of(TimelineReader.Field.ALL), 3));
assertNotNull(e1);
assertEquals(appId, e1.getId());
assertEquals(TimelineEntityType.YARN_APPLICATION.toString(), e1.getType());
assertEquals(conf, e1.getConfigs());
metrics2 = e1.getMetrics();
assertEquals(2, metrics2.size());
for (TimelineMetric metric2 : metrics2) {
Map<Long, Number> metricValues2 = metric2.getValues();
assertTrue(metricValues2.size() <= 3);
assertTrue(metric2.getId().equals("MAP_SLOT_MILLIS") || metric2.getId().equals("MEM_USAGE"));
}
// Check if single value(latest value) instead of time series is returned
// if metricslimit is not set(null), irrespective of number of metric
// values.
e1 = reader.getEntity(new TimelineReaderContext(cluster, user, flow, runid, appId, entity.getType(), entity.getId()), new TimelineDataToRetrieve(null, null, EnumSet.of(TimelineReader.Field.ALL), null));
assertNotNull(e1);
assertEquals(appId, e1.getId());
assertEquals(TimelineEntityType.YARN_APPLICATION.toString(), e1.getType());
assertEquals(cTime, e1.getCreatedTime());
assertEquals(infoMap, e1.getInfo());
assertEquals(isRelatedTo, e1.getIsRelatedToEntities());
assertEquals(relatesTo, e1.getRelatesToEntities());
assertEquals(conf, e1.getConfigs());
assertEquals(2, e1.getMetrics().size());
for (TimelineMetric metric : e1.getMetrics()) {
assertEquals(1, metric.getValues().size());
assertEquals(TimelineMetric.Type.SINGLE_VALUE, metric.getType());
assertTrue(metric.getId().equals("MAP_SLOT_MILLIS") || metric.getId().equals("MEM_USAGE"));
assertEquals(1, metric.getValues().size());
if (metric.getId().equals("MAP_SLOT_MILLIS")) {
assertTrue(metric.getValues().containsKey(ts - 20000));
assertEquals(metricValues.get(ts - 20000), metric.getValues().get(ts - 20000));
}
if (metric.getId().equals("MEM_USAGE")) {
assertTrue(metric.getValues().containsKey(aggTs - 120000));
assertEquals(aggMetricValues.get(aggTs - 120000), metric.getValues().get(aggTs - 120000));
}
}
} finally {
if (hbi != null) {
hbi.stop();
hbi.close();
}
}
}
use of org.apache.hadoop.yarn.server.timelineservice.storage.application.ApplicationRowKey in project hadoop by apache.
the class TestHBaseTimelineStorageApps method testEvents.
@Test
public void testEvents() throws IOException {
TimelineEvent event = new TimelineEvent();
String eventId = ApplicationMetricsConstants.CREATED_EVENT_TYPE;
event.setId(eventId);
Long expTs = 1436512802000L;
event.setTimestamp(expTs);
String expKey = "foo_event";
Object expVal = "test";
event.addInfo(expKey, expVal);
final TimelineEntity entity = new ApplicationEntity();
entity.setId(ApplicationId.newInstance(0, 1).toString());
entity.addEvent(event);
TimelineEntities entities = new TimelineEntities();
entities.addEntity(entity);
HBaseTimelineWriterImpl hbi = null;
try {
Configuration c1 = util.getConfiguration();
hbi = new HBaseTimelineWriterImpl();
hbi.init(c1);
hbi.start();
String cluster = "cluster_test_events";
String user = "user2";
String flow = "other_flow_name";
String flowVersion = "1111F01C2287BA";
long runid = 1009876543218L;
String appName = "application_123465899910_1001";
hbi.write(cluster, user, flow, flowVersion, runid, appName, entities);
hbi.stop();
// retrieve the row
ApplicationRowKey applicationRowKey = new ApplicationRowKey(cluster, user, flow, runid, appName);
byte[] rowKey = applicationRowKey.getRowKey();
Get get = new Get(rowKey);
get.setMaxVersions(Integer.MAX_VALUE);
Connection conn = ConnectionFactory.createConnection(c1);
Result result = new ApplicationTable().getResult(c1, conn, get);
assertTrue(result != null);
// check the row key
byte[] row1 = result.getRow();
assertTrue(isApplicationRowKeyCorrect(row1, cluster, user, flow, runid, appName));
Map<EventColumnName, Object> eventsResult = ApplicationColumnPrefix.EVENT.readResults(result, new EventColumnNameConverter());
// there should be only one event
assertEquals(1, eventsResult.size());
for (Map.Entry<EventColumnName, Object> e : eventsResult.entrySet()) {
EventColumnName eventColumnName = e.getKey();
// the qualifier is a compound key
// hence match individual values
assertEquals(eventId, eventColumnName.getId());
assertEquals(expTs, eventColumnName.getTimestamp());
assertEquals(expKey, eventColumnName.getInfoKey());
Object value = e.getValue();
// there should be only one timestamp and value
assertEquals(expVal, value.toString());
}
// read the timeline entity using the reader this time
TimelineEntity e1 = reader.getEntity(new TimelineReaderContext(cluster, user, flow, runid, appName, entity.getType(), entity.getId()), new TimelineDataToRetrieve(null, null, EnumSet.of(Field.ALL), null));
TimelineEntity e2 = reader.getEntity(new TimelineReaderContext(cluster, user, null, null, appName, entity.getType(), entity.getId()), new TimelineDataToRetrieve(null, null, EnumSet.of(Field.ALL), null));
assertNotNull(e1);
assertNotNull(e2);
assertEquals(e1, e2);
// check the events
NavigableSet<TimelineEvent> events = e1.getEvents();
// there should be only one event
assertEquals(1, events.size());
for (TimelineEvent e : events) {
assertEquals(eventId, e.getId());
assertEquals(expTs, Long.valueOf(e.getTimestamp()));
Map<String, Object> info = e.getInfo();
assertEquals(1, info.size());
for (Map.Entry<String, Object> infoEntry : info.entrySet()) {
assertEquals(expKey, infoEntry.getKey());
assertEquals(expVal, infoEntry.getValue());
}
}
} finally {
if (hbi != null) {
hbi.stop();
hbi.close();
}
}
}
use of org.apache.hadoop.yarn.server.timelineservice.storage.application.ApplicationRowKey in project hadoop by apache.
the class HBaseTimelineWriterImpl method write.
/**
* Stores the entire information in TimelineEntities to the timeline store.
*/
@Override
public TimelineWriteResponse write(String clusterId, String userId, String flowName, String flowVersion, long flowRunId, String appId, TimelineEntities data) throws IOException {
TimelineWriteResponse putStatus = new TimelineWriteResponse();
// defensive coding to avoid NPE during row key construction
if ((flowName == null) || (appId == null) || (clusterId == null) || (userId == null)) {
LOG.warn("Found null for one of: flowName=" + flowName + " appId=" + appId + " userId=" + userId + " clusterId=" + clusterId + " . Not proceeding with writing to hbase");
return putStatus;
}
for (TimelineEntity te : data.getEntities()) {
// a set can have at most 1 null
if (te == null) {
continue;
}
// if the entity is the application, the destination is the application
// table
boolean isApplication = isApplicationEntity(te);
byte[] rowKey;
if (isApplication) {
ApplicationRowKey applicationRowKey = new ApplicationRowKey(clusterId, userId, flowName, flowRunId, appId);
rowKey = applicationRowKey.getRowKey();
} else {
EntityRowKey entityRowKey = new EntityRowKey(clusterId, userId, flowName, flowRunId, appId, te.getType(), te.getId());
rowKey = entityRowKey.getRowKey();
}
storeInfo(rowKey, te, flowVersion, isApplication);
storeEvents(rowKey, te.getEvents(), isApplication);
storeConfig(rowKey, te.getConfigs(), isApplication);
storeMetrics(rowKey, te.getMetrics(), isApplication);
storeRelations(rowKey, te, isApplication);
if (isApplication) {
TimelineEvent event = getApplicationEvent(te, ApplicationMetricsConstants.CREATED_EVENT_TYPE);
FlowRunRowKey flowRunRowKey = new FlowRunRowKey(clusterId, userId, flowName, flowRunId);
if (event != null) {
AppToFlowRowKey appToFlowRowKey = new AppToFlowRowKey(clusterId, appId);
onApplicationCreated(flowRunRowKey, appToFlowRowKey, appId, userId, flowVersion, te, event.getTimestamp());
}
// if it's an application entity, store metrics
storeFlowMetricsAppRunning(flowRunRowKey, appId, te);
// if application has finished, store it's finish time and write final
// values of all metrics
event = getApplicationEvent(te, ApplicationMetricsConstants.FINISHED_EVENT_TYPE);
if (event != null) {
onApplicationFinished(flowRunRowKey, flowVersion, appId, te, event.getTimestamp());
}
}
}
return putStatus;
}
use of org.apache.hadoop.yarn.server.timelineservice.storage.application.ApplicationRowKey in project hadoop by apache.
the class ApplicationEntityReader method getResults.
@Override
protected ResultScanner getResults(Configuration hbaseConf, Connection conn, FilterList filterList) throws IOException {
Scan scan = new Scan();
TimelineReaderContext context = getContext();
// Whether or not flowRunID is null doesn't matter, the
// ApplicationRowKeyPrefix will do the right thing.
RowKeyPrefix<ApplicationRowKey> applicationRowKeyPrefix = new ApplicationRowKeyPrefix(context.getClusterId(), context.getUserId(), context.getFlowName(), context.getFlowRunId());
scan.setRowPrefixFilter(applicationRowKeyPrefix.getRowKeyPrefix());
FilterList newList = new FilterList();
newList.addFilter(new PageFilter(getFilters().getLimit()));
if (filterList != null && !filterList.getFilters().isEmpty()) {
newList.addFilter(filterList);
}
scan.setFilter(newList);
scan.setMaxVersions(getDataToRetrieve().getMetricsLimit());
return getTable().getResultScanner(hbaseConf, conn, scan);
}
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