Examples with TimeSeries com.google.bigtable.repackaged.com.google.monitoring.v3.TimeSeries used on opensource projects

Example 6 with TimeSeries

use of com.google.bigtable.repackaged.com.google.monitoring.v3.TimeSeries in project spf4j by zolyfarkas.

the class TimeSeriesDatabase method writeCsvTable.

public void writeCsvTable(final String tableName, final File output) throws IOException {
    TSTable table = getTSTable(tableName);
    TimeSeries data = readAll(tableName);
    DateTimeFormatter formatter = DateTimeFormats.TS_FORMAT;
    try (Writer writer = new BufferedWriter(new OutputStreamWriter(Files.newOutputStream(output.toPath()), StandardCharsets.UTF_8))) {
        Csv.writeCsvElement("timestamp", writer);
        for (String colName : table.getColumnNames()) {
            writer.append(',');
            Csv.writeCsvElement(colName, writer);
        }
        writer.write('\n');
        long[] timestamps = data.getTimeStamps();
        long[][] values = data.getValues();
        for (int i = 0; i < timestamps.length; i++) {
            Csv.writeCsvElement(formatter.format(Instant.ofEpochMilli(timestamps[i])), writer);
            for (long val : values[i]) {
                writer.append(',');
                Csv.writeCsvElement(Long.toString(val), writer);
            }
            writer.write('\n');
        }
    }
}

Example 7 with TimeSeries

use of com.google.bigtable.repackaged.com.google.monitoring.v3.TimeSeries in project spf4j by zolyfarkas.

the class TimeSeriesDatabase method writeCsvTables.

public void writeCsvTables(final List<String> tableNames, final File output) throws IOException {
    DateTimeFormatter formatter = DateTimeFormats.TS_FORMAT;
    try (Writer writer = new BufferedWriter(new OutputStreamWriter(Files.newOutputStream(output.toPath()), StandardCharsets.UTF_8))) {
        String firstTable = tableNames.get(0);
        TSTable table = getTSTable(firstTable);
        Csv.writeCsvElement("table", writer);
        writer.append(',');
        Csv.writeCsvElement("timestamp", writer);
        for (String colName : table.getColumnNames()) {
            writer.append(',');
            Csv.writeCsvElement(colName, writer);
        }
        writer.write('\n');
        for (String tableName : tableNames) {
            TimeSeries data = readAll(tableName);
            long[] timestamps = data.getTimeStamps();
            long[][] values = data.getValues();
            for (int i = 0; i < timestamps.length; i++) {
                Csv.writeCsvElement(tableName, writer);
                writer.append(',');
                Csv.writeCsvElement(formatter.format(Instant.ofEpochMilli(timestamps[i])), writer);
                for (long val : values[i]) {
                    writer.append(',');
                    Csv.writeCsvElement(Long.toString(val), writer);
                }
                writer.write('\n');
            }
        }
    }
}

Example 8 with TimeSeries

use of com.google.bigtable.repackaged.com.google.monitoring.v3.TimeSeries in project spf4j by zolyfarkas.

the class TimeSeriesDatabase method read.

/**
 * Read measurements from table.
 *
 * @param tableName
 * @param startTime start time including
 * @param endTime end time including
 * @return
 * @throws IOException
 */
private TimeSeries read(final long startTime, final long endTime, final long startAtFragment, final long endAtFragment, final boolean skipFirst) throws IOException {
    synchronized (path) {
        TLongArrayList timeStamps = new TLongArrayList();
        List<long[]> data = new ArrayList<>();
        if (startAtFragment > 0) {
            FileLock lock = ch.lock(0, Long.MAX_VALUE, true);
            try {
                DataFragment frag;
                long nextFragmentLocation = startAtFragment;
                boolean last = false;
                boolean psFirst = skipFirst;
                do {
                    if (nextFragmentLocation == endAtFragment) {
                        last = true;
                    }
                    file.seek(nextFragmentLocation);
                    frag = new DataFragment(file);
                    if (psFirst) {
                        psFirst = false;
                    } else {
                        long fragStartTime = frag.getStartTimeMillis();
                        if (fragStartTime >= startTime) {
                            TIntArrayList fragTimestamps = frag.getTimestamps();
                            int nr = 0;
                            for (int i = 0; i < fragTimestamps.size(); i++) {
                                long ts = fragStartTime + fragTimestamps.get(i);
                                if (ts <= endTime) {
                                    timeStamps.add(ts);
                                    nr++;
                                } else {
                                    break;
                                }
                            }
                            int i = 0;
                            for (long[] d : frag.getData()) {
                                if (i < nr) {
                                    data.add(d);
                                } else {
                                    break;
                                }
                                nr++;
                            }
                            if (fragTimestamps.size() > nr) {
                                break;
                            }
                        }
                    }
                    nextFragmentLocation = frag.getNextDataFragment();
                } while (nextFragmentLocation > 0 && !last);
            } catch (IOException | RuntimeException e) {
                try {
                    lock.release();
                    throw e;
                } catch (IOException ex) {
                    ex.addSuppressed(e);
                    throw ex;
                }
            }
            lock.release();
        }
        return new TimeSeries(timeStamps.toArray(), data.toArray(new long[data.size()][]));
    }
}

Example 9 with TimeSeries

use of com.google.bigtable.repackaged.com.google.monitoring.v3.TimeSeries in project spf4j by zolyfarkas.

the class TimeSeriesDatabase method createJFreeCharts.

public List<JFreeChart> createJFreeCharts(final String tableName, final long startTime, final long endTime) throws IOException {
    TSTable info = this.getTSTable(tableName);
    TimeSeries data = this.read(tableName, startTime, endTime);
    return createJFreeCharts(data, info);
}

Example 10 with TimeSeries

use of com.google.bigtable.repackaged.com.google.monitoring.v3.TimeSeries in project googleads-java-lib by googleads.

the class GetTrafficData method runExample.

/**
 * Runs the example.
 *
 * @param adManagerServices the services factory.
 * @param session the session.
 * @param advertiserId the ID of the advertiser (company) to forecast for. Setting an advertiser
 *     will cause the forecast to apply the appropriate unified blocking rules.
 * @throws ApiException if the API request failed with one or more service errors.
 * @throws RemoteException if the API request failed due to other errors.
 */
public static void runExample(AdManagerServices adManagerServices, AdManagerSession session) throws RemoteException {
    // Get the ForecastService.
    ForecastServiceInterface forecastService = adManagerServices.get(session, ForecastServiceInterface.class);
    // Get the NetworkService.
    NetworkServiceInterface networkService = adManagerServices.get(session, NetworkServiceInterface.class);
    // Get the root ad unit ID used to target the whole site.
    String rootAdUnitId = networkService.getCurrentNetwork().getEffectiveRootAdUnitId();
    // Create inventory targeting.
    InventoryTargeting inventoryTargeting = new InventoryTargeting();
    // Create ad unit targeting for the root ad unit.
    AdUnitTargeting adUnitTargeting = new AdUnitTargeting();
    adUnitTargeting.setAdUnitId(rootAdUnitId);
    adUnitTargeting.setIncludeDescendants(true);
    inventoryTargeting.setTargetedAdUnits(new AdUnitTargeting[] { adUnitTargeting });
    // Create targeting.
    Targeting targeting = new Targeting();
    targeting.setInventoryTargeting(inventoryTargeting);
    // Create the date range. Include the previous and next 7 days.
    Interval interval = new Interval(Instant.now().plus(Duration.standardDays(-7)), Instant.now().plus(Duration.standardDays(7)));
    DateRange dateRange = new DateRange();
    dateRange.setStartDate(DateTimes.toDateTime(interval.getStart()).getDate());
    dateRange.setEndDate(DateTimes.toDateTime(interval.getEnd()).getDate());
    // Request the traffic data.
    TrafficDataRequest trafficDataRequest = new TrafficDataRequest();
    trafficDataRequest.setRequestedDateRange(dateRange);
    trafficDataRequest.setTargeting(targeting);
    TrafficDataResponse trafficData = forecastService.getTrafficData(trafficDataRequest);
    // Read the historical traffic data.
    TimeSeries historicalTimeSeries = trafficData.getHistoricalTimeSeries();
    if (historicalTimeSeries != null) {
        Date historicalStartDate = historicalTimeSeries.getTimeSeriesDateRange().getStartDate();
        DateTime historicalStart = new DateTime(historicalStartDate.getYear(), historicalStartDate.getMonth(), historicalStartDate.getDay(), 0, 0, 0);
        for (int i = 0; i < historicalTimeSeries.getValues().length; i++) {
            System.out.printf("%s: %d historical ad opportunities%n", historicalStart.plus(Duration.standardDays(i)).toString(DateTimeFormat.longDate()), historicalTimeSeries.getValues()[i]);
        }
    }
    // Read the forecasted traffic data.
    TimeSeries forecastedTimeSeries = trafficData.getForecastedTimeSeries();
    if (forecastedTimeSeries != null) {
        Date forecastedStartDate = forecastedTimeSeries.getTimeSeriesDateRange().getStartDate();
        DateTime forecastedStart = new DateTime(forecastedStartDate.getYear(), forecastedStartDate.getMonth(), forecastedStartDate.getDay(), 0, 0, 0);
        for (int i = 0; i < forecastedTimeSeries.getValues().length; i++) {
            System.out.printf("%s: %d forecasted ad opportunities%n", forecastedStart.plus(Duration.standardDays(i)).toString(DateTimeFormat.longDate()), forecastedTimeSeries.getValues()[i]);
        }
    }
}