Examples with ThirdEyeConfiguration com.linkedin.thirdeye.common.ThirdEyeConfiguration used on opensource projects

Example 1 with ThirdEyeConfiguration

use of com.linkedin.thirdeye.common.ThirdEyeConfiguration 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 2 with ThirdEyeConfiguration

use of com.linkedin.thirdeye.common.ThirdEyeConfiguration in project pinot by linkedin.

the class PinotThirdEyeSummaryClient method main.

public static void main(String[] args) throws Exception {
    String oFileName = "Cube.json";
    // An interesting data set that difficult to tell because too many dark reds and blues (Granularity: DAYS)
    //    String collection = "thirdeyeKbmi";
    //    String metricName = "pageViews";
    //    DateTime baselineStart = new DateTime(1467788400000L);
    //    DateTime baselineEnd =   new DateTime(1469862000000L);
    //    DateTime currentStart =  new DateTime(1468393200000L);
    //    DateTime currentEnd =    new DateTime(1470466800000L);
    // An interesting data set that difficult to tell because most cells are light red or blue (Granularity: HOURS)
    //    String collection = "thirdeyeKbmi";
    //    String metricName = "mobilePageViews";
    //    DateTime baselineStart = new DateTime(1469628000000L);
    //    DateTime baselineEnd =   new DateTime(1469714400000L);
    //    DateTime currentStart =  new DateTime(1470232800000L);
    //    DateTime currentEnd =    new DateTime(1470319200000L);
    // A migration of Asia connections from other data center to lsg data center (Granularity: DAYS)
    // Most contributors: India and China
    //    String collection = "thirdeyeAbook";
    //    String metricName = "totalFlows";
    //    DateTime baselineStart = new DateTime(2016, 7, 11, 00, 00);
    //    DateTime baselineEnd =   new DateTime(2016, 7, 12, 00, 00);
    //    DateTime currentStart =  new DateTime(2016, 7, 18, 00, 00);
    //    DateTime currentEnd =    new DateTime(2016, 7, 19, 00, 00);
    // National Holidays in India and several countries in Europe and Latin America. (Granularity: DAYS)
    String collection = "thirdeyeKbmi";
    String metricName = "desktopPageViews";
    DateTime baselineStart = new DateTime(1470589200000L);
    DateTime baselineEnd = new DateTime(1470675600000L);
    DateTime currentStart = new DateTime(1471194000000L);
    DateTime currentEnd = new DateTime(1471280400000L);
    //    String collection = "ptrans_additive";
    //    String metricName = "txProcessTime/__COUNT";
    //    DateTime baselineStart = new DateTime(1470938400000L);
    //    DateTime baselineEnd =   new DateTime(1471024800000L);
    //    DateTime currentStart =  new DateTime(1471543200000L);
    //    DateTime currentEnd =    new DateTime(1471629600000L);
    // Create ThirdEye client
    List<String> argList = new ArrayList<String>(Arrays.asList(args));
    if (argList.size() == 1) {
        argList.add(0, "server");
    }
    int lastIndex = argList.size() - 1;
    String thirdEyeConfigDir = argList.get(lastIndex);
    String persistenceConfig = thirdEyeConfigDir + "/persistence.yml";
    DaoProviderUtil.init(new File(persistenceConfig));
    ThirdEyeConfiguration thirdEyeConfig = new ThirdEyeDashboardConfiguration();
    thirdEyeConfig.setWhitelistCollections(collection);
    thirdEyeConfig.setRootDir(thirdEyeConfigDir);
    ThirdEyeCacheRegistry.initializeCaches(thirdEyeConfig);
    ThirdEyeCacheRegistry CACHE_REGISTRY_INSTANCE = ThirdEyeCacheRegistry.getInstance();
    List<MetricExpression> metricExpressions = Utils.convertToMetricExpressions(metricName, MetricAggFunction.SUM, collection);
    System.out.println(metricExpressions);
    OLAPDataBaseClient pinotClient = new PinotThirdEyeSummaryClient(CACHE_REGISTRY_INSTANCE.getQueryCache());
    pinotClient.setCollection(collection);
    pinotClient.setMetricExpression(metricExpressions.get(0));
    pinotClient.setCurrentStartInclusive(currentStart);
    pinotClient.setCurrentEndExclusive(currentEnd);
    pinotClient.setBaselineStartInclusive(baselineStart);
    pinotClient.setBaselineEndExclusive(baselineEnd);
    List<List<String>> hierarchies = new ArrayList<>();
    hierarchies.add(Lists.newArrayList("continent", "countryCode"));
    hierarchies.add(Lists.newArrayList("browser_name", "browser_version"));
    Dimensions dimensions;
    try {
        dimensions = new Dimensions(Utils.getSchemaDimensionNames(collection));
    } catch (Exception e1) {
        System.out.println("Failed to get dimensions names of the collection: " + collection);
        String[] dimensionNames = { "browserName", "continent", "countryCode", "deviceName", "environment", "locale", "osName", "pageKey", "service", "sourceApp" };
        System.out.println("Default dimension names are used:" + dimensionNames);
        dimensions = new Dimensions(Lists.newArrayList(dimensionNames));
    }
    int maxDimensionSize = 3;
    // Build the cube for computing the summary
    Cube initCube = new Cube();
    initCube.buildWithAutoDimensionOrder(pinotClient, dimensions, maxDimensionSize, hierarchies);
    //    initCube.buildWithManualDimensionOrder(pinotClient, dimensions);
    int answerSize = 10;
    boolean oneSideErrors = true;
    Summary summary = new Summary(initCube);
    System.out.println(summary.computeSummary(answerSize, oneSideErrors, maxDimensionSize));
    try {
        initCube.toJson(oFileName);
        Cube cube = Cube.fromJson(oFileName);
        System.out.println("Restored Cube:");
        System.out.println(cube);
        summary = new Summary(cube);
        System.out.println(summary.computeSummary(answerSize, oneSideErrors, maxDimensionSize));
    } catch (IOException e) {
        System.err.println("WARN: Unable to save the cube to the file: " + oFileName);
        e.printStackTrace();
    }
    // closing
    System.exit(0);
}