use of com.linkedin.thirdeye.client.cache.MetricDataset in project pinot by linkedin.
the class AnomalyApplicationEndToEndTest method setup.
private void setup() throws Exception {
// Mock query cache
ThirdEyeClient mockThirdeyeClient = Mockito.mock(ThirdEyeClient.class);
Mockito.when(mockThirdeyeClient.execute(Matchers.any(ThirdEyeRequest.class))).thenAnswer(new Answer<ThirdEyeResponse>() {
@Override
public ThirdEyeResponse answer(InvocationOnMock invocation) throws Throwable {
Object[] args = invocation.getArguments();
ThirdEyeRequest request = (ThirdEyeRequest) args[0];
ThirdEyeResponse response = getMockResponse(request);
return response;
}
});
QueryCache mockQueryCache = new QueryCache(mockThirdeyeClient, Executors.newFixedThreadPool(10));
cacheRegistry.registerQueryCache(mockQueryCache);
MetricConfigDTO metricConfig = getTestMetricConfig(collection, metric, 1L);
// create metric config in cache
LoadingCache<MetricDataset, MetricConfigDTO> mockMetricConfigCache = Mockito.mock(LoadingCache.class);
Mockito.when(mockMetricConfigCache.get(new MetricDataset(metric, collection))).thenReturn(metricConfig);
cacheRegistry.registerMetricConfigCache(mockMetricConfigCache);
// create dataset config in cache
LoadingCache<String, DatasetConfigDTO> mockDatasetConfigCache = Mockito.mock(LoadingCache.class);
Mockito.when(mockDatasetConfigCache.get(collection)).thenReturn(getTestDatasetConfig(collection));
cacheRegistry.registerDatasetConfigCache(mockDatasetConfigCache);
ResultSet mockResultSet = Mockito.mock(ResultSet.class);
Mockito.when(mockResultSet.getRowCount()).thenReturn(0);
ResultSetGroup mockResultSetGroup = Mockito.mock(ResultSetGroup.class);
Mockito.when(mockResultSetGroup.getResultSet(0)).thenReturn(mockResultSet);
LoadingCache<PinotQuery, ResultSetGroup> mockResultSetGroupCache = Mockito.mock(LoadingCache.class);
Mockito.when(mockResultSetGroupCache.get(Matchers.any(PinotQuery.class))).thenAnswer(new Answer<ResultSetGroup>() {
@Override
public ResultSetGroup answer(InvocationOnMock invocation) throws Throwable {
return mockResultSetGroup;
}
});
cacheRegistry.registerResultSetGroupCache(mockResultSetGroupCache);
// Application config
thirdeyeAnomalyConfig = new ThirdEyeAnomalyConfiguration();
thirdeyeAnomalyConfig.setId(id);
thirdeyeAnomalyConfig.setDashboardHost(dashboardHost);
MonitorConfiguration monitorConfiguration = new MonitorConfiguration();
monitorConfiguration.setMonitorFrequency(new TimeGranularity(30, TimeUnit.SECONDS));
thirdeyeAnomalyConfig.setMonitorConfiguration(monitorConfiguration);
thirdeyeAnomalyConfig.setRootDir(System.getProperty("dw.rootDir", "NOT_SET(dw.rootDir)"));
// create test anomaly function
functionId = anomalyFunctionDAO.save(getTestFunctionSpec(metric, collection));
// create test email configuration
emailConfigurationDAO.save(getTestEmailConfiguration(metric, collection));
// create test alert configuration
alertConfigDAO.save(getTestAlertConfiguration("test alert v2"));
// create test dataset config
datasetConfigDAO.save(getTestDatasetConfig(collection));
// setup function factory for worker and merger
InputStream factoryStream = AnomalyApplicationEndToEndTest.class.getResourceAsStream(functionPropertiesFile);
anomalyFunctionFactory = new AnomalyFunctionFactory(factoryStream);
// setup alertfilter factory for worker
InputStream alertFilterStream = AnomalyApplicationEndToEndTest.class.getResourceAsStream(alertFilterPropertiesFile);
alertFilterFactory = new AlertFilterFactory(alertFilterStream);
}
use of com.linkedin.thirdeye.client.cache.MetricDataset in project pinot by linkedin.
the class CacheResource method refreshMetricConfigCache.
@POST
@Path("/refresh/metricConfig")
public Response refreshMetricConfigCache() {
LoadingCache<MetricDataset, MetricConfigDTO> cache = CACHE_INSTANCE.getMetricConfigCache();
List<String> collections = CACHE_INSTANCE.getCollectionsCache().getCollections();
for (String collection : collections) {
List<MetricConfigDTO> metricConfigs = DAO_REGISTRY.getMetricConfigDAO().findByDataset(collection);
for (MetricConfigDTO metricConfig : metricConfigs) {
cache.refresh(new MetricDataset(metricConfig.getName(), metricConfig.getDataset()));
}
}
return Response.ok().build();
}
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