Examples with ResultSetGroup com.linkedin.pinot.client.ResultSetGroup used on opensource projects

Example 1 with ResultSetGroup

use of com.linkedin.pinot.client.ResultSetGroup in project pinot by linkedin.

the class ResultSetGroupCacheLoader method load.

@Override
public ResultSetGroup load(PinotQuery pinotQuery) throws Exception {
    try {
        Connection connection = getConnection();
        synchronized (connection) {
            long start = System.currentTimeMillis();
            ResultSetGroup resultSetGroup = connection.execute(pinotQuery.getTableName(), pinotQuery.getPql());
            if (LOG.isDebugEnabled()) {
                LOG.debug("Query:{}  response:{}", pinotQuery.getPql(), format(resultSetGroup));
            }
            long end = System.currentTimeMillis();
            LOG.info("Query:{}  took:{} ms", pinotQuery.getPql(), (end - start));
            return resultSetGroup;
        }
    } catch (PinotClientException cause) {
        LOG.error("Error when running pql:" + pinotQuery.getPql(), cause);
        throw new PinotClientException("Error when running pql:" + pinotQuery.getPql(), cause);
    }
}

Example 2 with ResultSetGroup

use of com.linkedin.pinot.client.ResultSetGroup 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);
}

Example 3 with ResultSetGroup

use of com.linkedin.pinot.client.ResultSetGroup in project pinot by linkedin.

the class AutoLoadPinotMetricsService method fetchMetricAsADimensionMetrics.

private List<String> fetchMetricAsADimensionMetrics(String dataset, String metricNamesColumn) {
    List<String> distinctMetricNames = new ArrayList<>();
    ThirdEyeCacheRegistry CACHE_REGISTRY = ThirdEyeCacheRegistry.getInstance();
    String sql = String.format("select count(*) from %s group by %s top 10", dataset, metricNamesColumn);
    try {
        ResultSetGroup result = CACHE_REGISTRY.getResultSetGroupCache().get(new PinotQuery(sql, dataset));
        ResultSet resultSet = result.getResultSet(0);
        int rowCount = resultSet.getRowCount();
        for (int i = 0; i < rowCount; i++) {
            String dimensionName = resultSet.getGroupKeyString(i, 0);
            distinctMetricNames.add(dimensionName);
        }
        LOG.info("Distinct Metrics {}", distinctMetricNames);
    } catch (Exception e) {
        LOG.error("Exception in fetching metrics from pinot", e);
    }
    return distinctMetricNames;
}

Example 4 with ResultSetGroup

use of com.linkedin.pinot.client.ResultSetGroup 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);
}

Example 5 with ResultSetGroup

use of com.linkedin.pinot.client.ResultSetGroup in project pinot by linkedin.

the class PinotThirdEyeClient method execute.

@Override
public PinotThirdEyeResponse execute(ThirdEyeRequest request) throws Exception {
    DatasetConfigDTO datasetConfig = CACHE_REGISTRY_INSTANCE.getDatasetConfigCache().get(request.getCollection());
    TimeSpec dataTimeSpec = ThirdEyeUtils.getTimeSpecFromDatasetConfig(datasetConfig);
    List<MetricFunction> metricFunctions = request.getMetricFunctions();
    List<String> dimensionNames = datasetConfig.getDimensions();
    List<ResultSetGroup> resultSetGroups = new ArrayList<>();
    // By default, query only offline, unless dataset has been marked as realtime
    String tableName = ThirdEyeUtils.computeTableName(request.getCollection());
    if (datasetConfig.isMetricAsDimension()) {
        List<String> pqls = PqlUtils.getMetricAsDimensionPqls(request, dataTimeSpec, datasetConfig);
        for (String pql : pqls) {
            LOG.debug("PQL isMetricAsDimension : {}", pql);
            ResultSetGroup result = CACHE_REGISTRY_INSTANCE.getResultSetGroupCache().get(new PinotQuery(pql, tableName));
            resultSetGroups.add(result);
        }
    } else {
        String sql = PqlUtils.getPql(request, dataTimeSpec);
        LOG.debug("PQL: {}", sql);
        ResultSetGroup result = CACHE_REGISTRY_INSTANCE.getResultSetGroupCache().get(new PinotQuery(sql, tableName));
        resultSetGroups.add(result);
        if (LOG.isDebugEnabled()) {
            LOG.debug("Result for: {} {}", sql, format(result));
        }
    }
    List<ResultSet> resultSets = getResultSets(resultSetGroups);
    List<String[]> resultRows = parseResultSets(request, resultSets, metricFunctions, dimensionNames, datasetConfig);
    PinotThirdEyeResponse resp = new PinotThirdEyeResponse(request, resultRows, dataTimeSpec);
    return resp;
}