use of com.linkedin.thirdeye.dashboard.views.diffsummary.Summary 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);
}
use of com.linkedin.thirdeye.dashboard.views.diffsummary.Summary in project pinot by linkedin.
the class SummaryResource method buildSummary.
@GET
@Path(value = "/summary/autoDimensionOrder")
@Produces(MediaType.APPLICATION_JSON)
public String buildSummary(@QueryParam("dataset") String collection, @QueryParam("metric") String metric, @QueryParam("currentStart") Long currentStartInclusive, @QueryParam("currentEnd") Long currentEndExclusive, @QueryParam("baselineStart") Long baselineStartInclusive, @QueryParam("baselineEnd") Long baselineEndExclusive, @QueryParam("dimensions") String groupByDimensions, @QueryParam("summarySize") int summarySize, @QueryParam("topDimensions") @DefaultValue(DEFAULT_TOP_DIMENSIONS) int topDimensions, @QueryParam("hierarchies") @DefaultValue(DEFAULT_HIERARCHIES) String hierarchiesPayload, @QueryParam("oneSideError") @DefaultValue(DEFAULT_ONE_SIDE_ERROR) boolean doOneSideError, @QueryParam("timeZone") @DefaultValue(DEFAULT_TIMEZONE_ID) String timeZone) throws Exception {
if (summarySize < 1)
summarySize = 1;
SummaryResponse response = null;
try {
List<MetricExpression> metricExpressions = Utils.convertToMetricExpressions(metric, MetricAggFunction.SUM, collection);
OLAPDataBaseClient olapClient = new PinotThirdEyeSummaryClient(CACHE_REGISTRY_INSTANCE.getQueryCache());
olapClient.setCollection(collection);
olapClient.setMetricExpression(metricExpressions.get(0));
olapClient.setCurrentStartInclusive(new DateTime(currentStartInclusive, DateTimeZone.forID(timeZone)));
olapClient.setCurrentEndExclusive(new DateTime(currentEndExclusive, DateTimeZone.forID(timeZone)));
olapClient.setBaselineStartInclusive(new DateTime(baselineStartInclusive, DateTimeZone.forID(timeZone)));
olapClient.setBaselineEndExclusive(new DateTime(baselineEndExclusive, DateTimeZone.forID(timeZone)));
Dimensions dimensions;
if (groupByDimensions == null || groupByDimensions.length() == 0 || groupByDimensions.equals("undefined")) {
dimensions = new Dimensions(Utils.getSchemaDimensionNames(collection));
} else {
dimensions = new Dimensions(Arrays.asList(groupByDimensions.trim().split(",")));
}
List<List<String>> hierarchies = OBJECT_MAPPER.readValue(hierarchiesPayload, new TypeReference<List<List<String>>>() {
});
Cube cube = new Cube();
cube.buildWithAutoDimensionOrder(olapClient, dimensions, topDimensions, hierarchies);
Summary summary = new Summary(cube);
response = summary.computeSummary(summarySize, doOneSideError, topDimensions);
response.setMetricName(metric);
} catch (Exception e) {
LOG.error("Exception while generating difference summary", e);
response = SummaryResponse.buildNotAvailableResponse();
response.setMetricName(metric);
}
return OBJECT_MAPPER.writeValueAsString(response);
}
use of com.linkedin.thirdeye.dashboard.views.diffsummary.Summary in project pinot by linkedin.
the class SummaryResource method buildSummaryManualDimensionOrder.
@GET
@Path(value = "/summary/manualDimensionOrder")
@Produces(MediaType.APPLICATION_JSON)
public String buildSummaryManualDimensionOrder(@QueryParam("dataset") String collection, @QueryParam("metric") String metric, @QueryParam("currentStart") Long currentStartInclusive, @QueryParam("currentEnd") Long currentEndExclusive, @QueryParam("baselineStart") Long baselineStartInclusive, @QueryParam("baselineEnd") Long baselineEndExclusive, @QueryParam("dimensions") String groupByDimensions, @QueryParam("summarySize") int summarySize, @QueryParam("oneSideError") @DefaultValue(DEFAULT_ONE_SIDE_ERROR) boolean doOneSideError, @QueryParam("timeZone") @DefaultValue(DEFAULT_TIMEZONE_ID) String timeZone) throws Exception {
if (summarySize < 1)
summarySize = 1;
SummaryResponse response = null;
try {
List<MetricExpression> metricExpressions = Utils.convertToMetricExpressions(metric, MetricAggFunction.SUM, collection);
OLAPDataBaseClient olapClient = new PinotThirdEyeSummaryClient(CACHE_REGISTRY_INSTANCE.getQueryCache());
olapClient.setCollection(collection);
olapClient.setMetricExpression(metricExpressions.get(0));
olapClient.setCurrentStartInclusive(new DateTime(currentStartInclusive, DateTimeZone.forID(timeZone)));
olapClient.setCurrentEndExclusive(new DateTime(currentEndExclusive, DateTimeZone.forID(timeZone)));
olapClient.setBaselineStartInclusive(new DateTime(baselineStartInclusive, DateTimeZone.forID(timeZone)));
olapClient.setBaselineEndExclusive(new DateTime(baselineEndExclusive, DateTimeZone.forID(timeZone)));
List<String> allDimensions;
if (groupByDimensions == null || groupByDimensions.length() == 0 || groupByDimensions.equals("undefined")) {
allDimensions = Utils.getSchemaDimensionNames(collection);
} else {
allDimensions = Arrays.asList(groupByDimensions.trim().split(","));
}
if (allDimensions.size() > Integer.parseInt(DEFAULT_TOP_DIMENSIONS)) {
allDimensions = allDimensions.subList(0, Integer.parseInt(DEFAULT_TOP_DIMENSIONS));
}
Dimensions dimensions = new Dimensions(allDimensions);
Cube cube = new Cube();
cube.buildWithManualDimensionOrder(olapClient, dimensions);
Summary summary = new Summary(cube);
response = summary.computeSummary(summarySize, doOneSideError);
response.setMetricName(metric);
} catch (Exception e) {
LOG.error("Exception while generating difference summary", e);
response = SummaryResponse.buildNotAvailableResponse();
}
return OBJECT_MAPPER.writeValueAsString(response);
}
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