use of com.linkedin.thirdeye.datalayer.dto.MetricConfigDTO in project pinot by linkedin.
the class AnomalyReportGenerator method getAnomaliesForMetrics.
public List<MergedAnomalyResultDTO> getAnomaliesForMetrics(List<String> metrics, long startTime, long endTime) {
List<MergedAnomalyResultDTO> anomalies = new ArrayList<>();
LOG.info("fetching anomalies for metrics : " + metrics);
for (String metric : metrics) {
List<MetricConfigDTO> metricConfigDTOList = metricConfigManager.findByMetricName(metric);
for (MetricConfigDTO metricConfigDTO : metricConfigDTOList) {
List<MergedAnomalyResultDTO> results = anomalyResultManager.findByCollectionMetricTime(metricConfigDTO.getDataset(), metric, startTime, endTime, false);
LOG.info("Found {} result for metric {}", results.size(), metric);
anomalies.addAll(results);
}
}
return anomalies;
}
use of com.linkedin.thirdeye.datalayer.dto.MetricConfigDTO in project pinot by linkedin.
the class MetricConfigCacheLoader method load.
@Override
public MetricConfigDTO load(MetricDataset metricDataset) throws Exception {
LOGGER.info("Loading MetricConfigCache for metric {} of {}", metricDataset.getMetricName(), metricDataset.getDataset());
MetricConfigDTO metricConfig = metricConfigDAO.findByMetricAndDataset(metricDataset.getMetricName(), metricDataset.getDataset());
return metricConfig;
}
use of com.linkedin.thirdeye.datalayer.dto.MetricConfigDTO in project pinot by linkedin.
the class ThirdEyeCacheRegistry method initCaches.
private static void initCaches(ThirdEyeConfiguration config) {
ThirdEyeCacheRegistry cacheRegistry = ThirdEyeCacheRegistry.getInstance();
RemovalListener<PinotQuery, ResultSetGroup> listener = new RemovalListener<PinotQuery, ResultSetGroup>() {
@Override
public void onRemoval(RemovalNotification<PinotQuery, ResultSetGroup> notification) {
LOGGER.info("Expired {}", notification.getKey().getPql());
}
};
// ResultSetGroup Cache. The size of this cache is limited by the total number of buckets in all ResultSetGroup.
// We estimate that 1 bucket (including overhead) consumes 1KB and this cache is allowed to use up to 50% of max
// heap space.
long maxBucketNumber = getApproximateMaxBucketNumber(DEFAULT_HEAP_PERCENTAGE_FOR_RESULTSETGROUP_CACHE);
LoadingCache<PinotQuery, ResultSetGroup> resultSetGroupCache = CacheBuilder.newBuilder().removalListener(listener).expireAfterAccess(1, TimeUnit.HOURS).maximumWeight(maxBucketNumber).weigher((pinotQuery, resultSetGroup) -> {
int resultSetCount = resultSetGroup.getResultSetCount();
int weight = 0;
for (int idx = 0; idx < resultSetCount; ++idx) {
com.linkedin.pinot.client.ResultSet resultSet = resultSetGroup.getResultSet(idx);
weight += (resultSet.getColumnCount() * resultSet.getRowCount());
}
return weight;
}).build(new ResultSetGroupCacheLoader(pinotThirdeyeClientConfig));
cacheRegistry.registerResultSetGroupCache(resultSetGroupCache);
LOGGER.info("Max bucket number for ResultSetGroup cache is set to {}", maxBucketNumber);
// CollectionMaxDataTime Cache
LoadingCache<String, Long> collectionMaxDataTimeCache = CacheBuilder.newBuilder().refreshAfterWrite(5, TimeUnit.MINUTES).build(new CollectionMaxDataTimeCacheLoader(resultSetGroupCache, datasetConfigDAO));
cacheRegistry.registerCollectionMaxDataTimeCache(collectionMaxDataTimeCache);
// Query Cache
QueryCache queryCache = new QueryCache(thirdEyeClient, Executors.newFixedThreadPool(10));
cacheRegistry.registerQueryCache(queryCache);
// Dimension Filter cache
LoadingCache<String, String> dimensionFiltersCache = CacheBuilder.newBuilder().build(new DimensionFiltersCacheLoader(cacheRegistry.getQueryCache()));
cacheRegistry.registerDimensionFiltersCache(dimensionFiltersCache);
// Dashboards cache
LoadingCache<String, String> dashboardsCache = CacheBuilder.newBuilder().build(new DashboardsCacheLoader(dashboardConfigDAO));
cacheRegistry.registerDashboardsCache(dashboardsCache);
// Collections cache
CollectionsCache collectionsCache = new CollectionsCache(datasetConfigDAO, config);
cacheRegistry.registerCollectionsCache(collectionsCache);
// DatasetConfig cache
LoadingCache<String, DatasetConfigDTO> datasetConfigCache = CacheBuilder.newBuilder().build(new DatasetConfigCacheLoader(datasetConfigDAO));
cacheRegistry.registerDatasetConfigCache(datasetConfigCache);
// MetricConfig cache
LoadingCache<MetricDataset, MetricConfigDTO> metricConfigCache = CacheBuilder.newBuilder().build(new MetricConfigCacheLoader(metricConfigDAO));
cacheRegistry.registerMetricConfigCache(metricConfigCache);
// DashboardConfigs cache
LoadingCache<String, List<DashboardConfigDTO>> dashboardConfigsCache = CacheBuilder.newBuilder().build(new DashboardConfigCacheLoader(dashboardConfigDAO));
cacheRegistry.registerDashboardConfigsCache(dashboardConfigsCache);
}
use of com.linkedin.thirdeye.datalayer.dto.MetricConfigDTO in project pinot by linkedin.
the class AutoLoadPinotMetricsService method addNewDataset.
/**
* Adds a new dataset to the thirdeye database
* @param dataset
* @param schema
*/
private void addNewDataset(String dataset, Schema schema) throws Exception {
List<MetricFieldSpec> metricSpecs = schema.getMetricFieldSpecs();
// Create DatasetConfig
DatasetConfigDTO datasetConfigDTO = ConfigGenerator.generateDatasetConfig(dataset, schema);
LOG.info("Creating dataset for {}", dataset);
DAO_REGISTRY.getDatasetConfigDAO().save(datasetConfigDTO);
// Create MetricConfig
for (MetricFieldSpec metricFieldSpec : metricSpecs) {
MetricConfigDTO metricConfigDTO = ConfigGenerator.generateMetricConfig(metricFieldSpec, dataset);
LOG.info("Creating metric {} for {}", metricConfigDTO.getName(), dataset);
DAO_REGISTRY.getMetricConfigDAO().save(metricConfigDTO);
}
// Create Default DashboardConfig
List<Long> metricIds = ConfigGenerator.getMetricIdsFromMetricConfigs(DAO_REGISTRY.getMetricConfigDAO().findByDataset(dataset));
DashboardConfigDTO dashboardConfigDTO = ConfigGenerator.generateDefaultDashboardConfig(dataset, metricIds);
LOG.info("Creating default dashboard for dataset {}", dataset);
DAO_REGISTRY.getDashboardConfigDAO().save(dashboardConfigDTO);
}
use of com.linkedin.thirdeye.datalayer.dto.MetricConfigDTO in project pinot by linkedin.
the class AnomalyResource method getExternalDashboardUrlForMergedAnomaly.
@GET
@Path("/external-dashboard-url/{mergedAnomalyId}")
public String getExternalDashboardUrlForMergedAnomaly(@NotNull @PathParam("mergedAnomalyId") Long mergedAnomalyId) throws Exception {
MergedAnomalyResultDTO mergedAnomalyResultDTO = mergedAnomalyResultDAO.findById(mergedAnomalyId);
String metric = mergedAnomalyResultDTO.getMetric();
String dataset = mergedAnomalyResultDTO.getCollection();
Long startTime = mergedAnomalyResultDTO.getStartTime();
Long endTime = mergedAnomalyResultDTO.getEndTime();
MetricConfigDTO metricConfigDTO = metricConfigDAO.findByMetricAndDataset(metric, dataset);
Map<String, String> context = new HashMap<>();
context.put(MetricConfigBean.URL_TEMPLATE_START_TIME, String.valueOf(startTime));
context.put(MetricConfigBean.URL_TEMPLATE_END_TIME, String.valueOf(endTime));
StrSubstitutor strSubstitutor = new StrSubstitutor(context);
Map<String, String> urlTemplates = metricConfigDTO.getExtSourceLinkInfo();
for (Entry<String, String> entry : urlTemplates.entrySet()) {
String sourceName = entry.getKey();
String urlTemplate = entry.getValue();
String extSourceUrl = strSubstitutor.replace(urlTemplate);
urlTemplates.put(sourceName, extSourceUrl);
}
return new JSONObject(urlTemplates).toString();
}
Aggregations