Example usage for java.lang Long doubleValue

Introduction

In this page you can find the example usage for java.lang Long doubleValue.

Prototype

public double doubleValue() 

Source Link

Document

Returns the value of this Long as a double after a widening primitive conversion.

Usage

From source file:Main.java

public static void main(String[] args) {
    Long longObject = new Long("1234567");
    double d = longObject.doubleValue();
    System.out.println("double:" + d);

}

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From source file:Main.java

public static void main(String[] args) {
    Long lObj = new Long("10");
    byte b = lObj.byteValue();
    System.out.println(b);//w  w  w. ja  va 2 s  . c o  m

    short s = lObj.shortValue();
    System.out.println(s);

    int i = lObj.intValue();
    System.out.println(i);

    float f = lObj.floatValue();
    System.out.println(f);

    double d = lObj.doubleValue();
    System.out.println(d);
}

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From source file:com.example.geomesa.kafka08.KafkaLoadTester.java

public static void main(String[] args) throws Exception {
    // read command line args for a connection to Kafka
    CommandLineParser parser = new BasicParser();
    Options options = getCommonRequiredOptions();
    CommandLine cmd = parser.parse(options, args);
    String visibility = getVisibility(cmd);

    if (visibility == null) {
        System.out.println("visibility: null");
    } else {/*from  w ww.  j av  a  2 s . c  o  m*/
        System.out.println("visibility: '" + visibility + "'");
    }

    // create the producer and consumer KafkaDataStore objects
    Map<String, String> dsConf = getKafkaDataStoreConf(cmd);
    System.out.println("KDS config: " + dsConf);
    dsConf.put("isProducer", "true");
    DataStore producerDS = DataStoreFinder.getDataStore(dsConf);
    dsConf.put("isProducer", "false");
    DataStore consumerDS = DataStoreFinder.getDataStore(dsConf);

    // verify that we got back our KafkaDataStore objects properly
    if (producerDS == null) {
        throw new Exception("Null producer KafkaDataStore");
    }
    if (consumerDS == null) {
        throw new Exception("Null consumer KafkaDataStore");
    }

    // create the schema which creates a topic in Kafka
    // (only needs to be done once)
    final String sftName = "KafkaStressTest";
    final String sftSchema = "name:String,age:Int,step:Double,lat:Double,dtg:Date,*geom:Point:srid=4326";
    SimpleFeatureType sft = SimpleFeatureTypes.createType(sftName, sftSchema);
    // set zkPath to default if not specified
    String zkPath = (dsConf.get(ZK_PATH) == null) ? "/geomesa/ds/kafka" : dsConf.get(ZK_PATH);
    SimpleFeatureType preppedOutputSft = KafkaDataStoreHelper.createStreamingSFT(sft, zkPath);
    // only create the schema if it hasn't been created already
    if (!Arrays.asList(producerDS.getTypeNames()).contains(sftName))
        producerDS.createSchema(preppedOutputSft);

    System.out.println("Register KafkaDataStore in GeoServer (Press enter to continue)");
    System.in.read();

    // the live consumer must be created before the producer writes features
    // in order to read streaming data.
    // i.e. the live consumer will only read data written after its instantiation
    SimpleFeatureStore producerFS = (SimpleFeatureStore) producerDS.getFeatureSource(sftName);
    SimpleFeatureSource consumerFS = consumerDS.getFeatureSource(sftName);

    // creates and adds SimpleFeatures to the producer every 1/5th of a second
    System.out.println("Writing features to Kafka... refresh GeoServer layer preview to see changes");

    SimpleFeatureBuilder builder = new SimpleFeatureBuilder(sft);

    Integer numFeats = getLoad(cmd);

    System.out.println("Building a list of " + numFeats + " SimpleFeatures.");
    List<SimpleFeature> features = IntStream.range(1, numFeats)
            .mapToObj(i -> createFeature(builder, i, visibility)).collect(Collectors.toList());

    // set variables to estimate feature production rate
    Long startTime = null;
    Long featuresSinceStartTime = 0L;
    int cycle = 0;
    int cyclesToSkip = 50000 / numFeats; // collect enough features
                                         // to get an accurate rate estimate

    while (true) {
        // write features
        features.forEach(feat -> {
            try {
                DefaultFeatureCollection featureCollection = new DefaultFeatureCollection();
                featureCollection.add(feat);
                producerFS.addFeatures(featureCollection);
            } catch (Exception e) {
                System.out.println("Caught an exception while writing features.");
                e.printStackTrace();
            }
            updateFeature(feat);
        });

        // count features written
        Integer consumerSize = consumerFS.getFeatures().size();
        cycle++;
        featuresSinceStartTime += consumerSize;
        System.out.println("At " + new Date() + " wrote " + consumerSize + " features");

        // if we've collected enough features, calculate the rate
        if (cycle >= cyclesToSkip || startTime == null) {
            Long endTime = System.currentTimeMillis();
            if (startTime != null) {
                Long diffTime = endTime - startTime;
                Double rate = (featuresSinceStartTime.doubleValue() * 1000.0) / diffTime.doubleValue();
                System.out.printf("%.1f feats/sec (%d/%d)\n", rate, featuresSinceStartTime, diffTime);
            }
            cycle = 0;
            startTime = endTime;
            featuresSinceStartTime = 0L;
        }
    }
}

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From source file:com.example.geomesa.kafka.KafkaLoadTester.java

public static void main(String[] args) throws Exception {
    // read command line args for a connection to Kafka
    CommandLineParser parser = new BasicParser();
    Options options = getCommonRequiredOptions();
    CommandLine cmd = parser.parse(options, args);
    String visibility = getVisibility(cmd);
    Integer delay = getDelay(cmd);

    if (visibility == null) {
        System.out.println("visibility: null");
    } else {/*w  w  w  . j  a  v  a2 s .c  o  m*/
        System.out.println("visibility: '" + visibility + "'");
    }

    // create the producer and consumer KafkaDataStore objects
    Map<String, String> dsConf = getKafkaDataStoreConf(cmd);
    System.out.println("KDS config: " + dsConf);
    dsConf.put("kafka.consumer.count", "0");
    DataStore producerDS = DataStoreFinder.getDataStore(dsConf);
    dsConf.put("kafka.consumer.count", "1");
    DataStore consumerDS = DataStoreFinder.getDataStore(dsConf);

    // verify that we got back our KafkaDataStore objects properly
    if (producerDS == null) {
        throw new Exception("Null producer KafkaDataStore");
    }
    if (consumerDS == null) {
        throw new Exception("Null consumer KafkaDataStore");
    }

    try {
        // create the schema which creates a topic in Kafka
        // (only needs to be done once)
        final String sftName = "KafkaStressTest";
        final String sftSchema = "name:String,age:Int,step:Double,lat:Double,dtg:Date,*geom:Point:srid=4326";
        SimpleFeatureType sft = SimpleFeatureTypes.createType(sftName, sftSchema);
        producerDS.createSchema(sft);

        System.out.println("Register KafkaDataStore in GeoServer (Press enter to continue)");
        System.in.read();

        // the live consumer must be created before the producer writes features
        // in order to read streaming data.
        // i.e. the live consumer will only read data written after its instantiation
        SimpleFeatureStore producerFS = (SimpleFeatureStore) producerDS.getFeatureSource(sftName);
        SimpleFeatureSource consumerFS = consumerDS.getFeatureSource(sftName);

        // creates and adds SimpleFeatures to the producer every 1/5th of a second
        System.out.println("Writing features to Kafka... refresh GeoServer layer preview to see changes");

        SimpleFeatureBuilder builder = new SimpleFeatureBuilder(sft);

        Integer numFeats = getLoad(cmd);

        System.out.println("Building a list of " + numFeats + " SimpleFeatures.");
        List<SimpleFeature> features = IntStream.range(1, numFeats)
                .mapToObj(i -> createFeature(builder, i, visibility)).collect(Collectors.toList());

        // set variables to estimate feature production rate
        Long startTime = null;
        Long featuresSinceStartTime = 0L;
        int cycle = 0;
        int cyclesToSkip = 50000 / numFeats; // collect enough features
                                             // to get an accurate rate estimate

        while (true) {
            // write features
            features.forEach(feat -> {
                try {
                    DefaultFeatureCollection featureCollection = new DefaultFeatureCollection();
                    featureCollection.add(feat);
                    producerFS.addFeatures(featureCollection);
                } catch (Exception e) {
                    System.out.println("Caught an exception while writing features.");
                    e.printStackTrace();
                }
                updateFeature(feat);
            });

            // count features written
            Integer consumerSize = consumerFS.getFeatures().size();
            cycle++;
            featuresSinceStartTime += consumerSize;
            System.out.println("At " + new Date() + " wrote " + consumerSize + " features");

            // if we've collected enough features, calculate the rate
            if (cycle >= cyclesToSkip || startTime == null) {
                Long endTime = System.currentTimeMillis();
                if (startTime != null) {
                    Long diffTime = endTime - startTime;
                    Double rate = (featuresSinceStartTime.doubleValue() * 1000.0) / diffTime.doubleValue();
                    System.out.printf("%.1f feats/sec (%d/%d)\n", rate, featuresSinceStartTime, diffTime);
                }
                cycle = 0;
                startTime = endTime;
                featuresSinceStartTime = 0L;
            }

            // sleep before next write
            if (delay != null) {
                System.out.printf("Sleeping for %d ms\n", delay);
                Thread.sleep(delay);
            }
        }

    } finally {
        producerDS.dispose();
        consumerDS.dispose();
    }
}

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From source file:iracing.webapi.SeasonStandingsParser.java

public static long parse(String json, ItemHandler handler) {
    JSONParser parser = new JSONParser();
    //        System.err.println(json);
    long output = 0;
    try {//from w w w  . j  ava  2s  .c o  m
        JSONObject root = (JSONObject) parser.parse(json);
        JSONObject arrayRoot = (JSONObject) root.get("d");
        output = getLong(arrayRoot, "27");
        JSONArray results = (JSONArray) arrayRoot.get("r");
        for (int i = 0; i < results.size(); i++) {
            JSONObject result = (JSONObject) results.get(i);
            SeasonStanding standing = new SeasonStanding();
            standing.setDroppedWeeks(getInt(result, "1"));
            standing.setClubName(getString(result, "2", true));
            standing.setCountryCode(getString(result, "3", true));
            standing.setLicenseSubLevel(getString(result, "4"));
            standing.setAverageFinish(getInt(result, "5"));
            standing.setIrating(getInt(result, "6"));
            standing.setTotalTopFives(getInt(result, "7"));
            standing.setMaxLicenseLevel(getInt(result, "8"));
            standing.setDriverName(getString(result, "9", true));
            standing.setClubId(getInt(result, "10"));
            standing.setTotalStarts(getInt(result, "11"));
            standing.setDisplayCountry(getString(result, "14", true));
            standing.setTotalLapsLed(getInt(result, "13"));
            standing.setCountry(getString(result, "15", true));
            standing.setTotalWins(getInt(result, "16"));
            standing.setTotalIncidents(getInt(result, "17"));
            Object o = result.get("18");
            double d;
            if (o instanceof Long) {
                Long l = (Long) o;
                d = l.doubleValue();
            } else {
                d = (Double) o;
            }
            standing.setTotalPoints(d);
            standing.setRank(getInt(result, "20"));
            standing.setDivision(getInt(result, "22"));
            standing.setDriverCustomerId(getLong(result, "24"));
            standing.setWeeksCounted(getInt(result, "26"));
            standing.setTotalLaps(getLong(result, "28"));
            standing.setAverageStart(getInt(result, "29"));
            standing.setTotalPoles(getInt(result, "30"));
            standing.setPosition(getLong(result, "31"));
            if (!handler.onSeasonStandingParsed(standing))
                break;
        }
    } catch (ParseException ex) {
        Logger.getLogger(SeasonStandingsParser.class.getName()).log(Level.SEVERE, null, ex);
    }
    return output;
}

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From source file:ie.aib.nbp.zosresttest.RunTest.java

private static void runPerformanceTest(String username, String password, PrintStream out,
        boolean attachResponse, boolean formatResponse) {
    ZosRestServicePerformanceRunner runner = new ZosRestServicePerformanceRunner(config.getProperty("HOST"),
            Integer.parseInt(config.getProperty("PORT")), out);
    try {/* w w  w  .  j  av a  2  s.c  o  m*/
        readConfig(RUN_PARAM_FILE_PATH);
        String url = config.getProperty("URL");
        String payload = config.getProperty("PAYLOAD");
        int loops = Integer.parseInt(config.getProperty("LOOPS"));

        SimpleDateFormat sdf = new SimpleDateFormat("dd/MM/yyyy HH:mm:ss z");
        out.println("z/OS performance test started at: " + sdf.format(new Date()));
        out.println(" ");
        List<Long> elapsedTimes = new ArrayList<>();
        for (int i = 0; i < loops; i++) {
            long elapsedTime = runner.executeServices(url, username, password, payload, out, attachResponse,
                    formatResponse);
            elapsedTimes.add(elapsedTime);
        }
        // calculating avg. time
        Long totalTime = 0L;
        for (Long time : elapsedTimes)
            totalTime = totalTime + time;
        Double avgTime = totalTime.doubleValue() / elapsedTimes.size();
        out.println("Average run time: " + avgTime + " miliseconds");
        out.println("");
        out.println("z/OS performance test ended at: " + sdf.format(new Date()));

    } catch (NumberFormatException ex) {
        out.println("Unable to run the test, elther the number of parameters or their values are incorrect.");
    }

}

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From source file:eagle.log.entity.EntityQualifierUtils.java

/**
 *
 * @param obj//ww w  .j a  va 2s . c  om
 * @return double value, otherwise Double.NaN
 */
public static double convertObjToDouble(Object obj) {
    if (Long.class.equals(obj.getClass()) || long.class.equals(obj.getClass())) {
        Long _value = (Long) obj;
        return _value.doubleValue();
    } else if (Integer.class.equals(obj.getClass()) || int.class.equals(obj.getClass())) {
        Integer _value = (Integer) obj;
        return _value.doubleValue();
    } else if (Double.class.equals(obj.getClass()) || double.class.equals(obj.getClass())) {
        return (Double) obj;
    } else if (Float.class.equals(obj.getClass()) || float.class.equals(obj.getClass())) {
        Float _value = (Float) obj;
        return _value.doubleValue();
    } else if (Short.class.equals(obj.getClass()) || short.class.equals(obj.getClass())) {
        Float _value = (Float) obj;
        return _value.doubleValue();
    } else if (Byte.class.equals(obj.getClass()) || byte.class.equals(obj.getClass())) {
        Byte _value = (Byte) obj;
        return _value.doubleValue();
    }
    LOG.warn("Failed to convert object " + obj.toString() + " in type of " + obj.getClass() + " to double");
    return Double.NaN;
}

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From source file:com.nubits.nubot.utils.Utils.java

public static double getDouble(Object obj) {
    double toRet = -1;
    if (obj.getClass().equals((new Long((long) 10)).getClass())) //If the price is round (i.e. 100) the type will be parsed as Long
    {/*from w  w  w.ja v a 2s. c  o m*/
        Long l = new Long((long) obj);
        toRet = l.doubleValue();
    } else {
        try {
            toRet = (Double) obj;
        } catch (ClassCastException e) {
            //probably a String
            try {
                toRet = Double.parseDouble((String) obj);
            } catch (ClassCastException ex) {
                LOG.error("cannot parse object : " + obj.toString());
                return -1;
            }
        }
    }
    return toRet;
}

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From source file:com.github.jessemull.microflex.util.BigDecimalUtil.java

/**
 * Safely converts an object to a BigInteger. Loss of precision may occur. Throws
 * an arithmetic exception upon overflow.
 * @param    Object    object to parse// ww w  .jav  a  2s.c om
 * @return             parsed object
 * @throws   ArithmeticException    on overflow
 */
public static BigDecimal toBigDecimal(Object obj) {

    /* Switch on class and convert to BigDecimal */

    String type = obj.getClass().getSimpleName();
    BigDecimal parsed;

    switch (type) {

    case "Byte":
        Byte by = (Byte) obj;
        parsed = new BigDecimal(by.doubleValue());
        break;

    case "Short":
        Short sh = (Short) obj;
        parsed = new BigDecimal(sh.doubleValue());
        break;

    case "Integer":
        Integer in = (Integer) obj;
        parsed = new BigDecimal(in.doubleValue());
        break;

    case "Long":
        Long lo = (Long) obj;
        parsed = new BigDecimal(lo.doubleValue());
        break;

    case "Float":
        Float fl = (Float) obj;
        parsed = new BigDecimal(fl.doubleValue());
        break;

    case "BigInteger":
        parsed = new BigDecimal(((BigInteger) obj));
        break;

    case "BigDecimal":
        parsed = (BigDecimal) obj;
        break;

    case "Double":
        Double db = (Double) obj;
        parsed = new BigDecimal(db);
        break;

    default:
        throw new IllegalArgumentException(
                "Invalid type: " + type + "\nData values " + "must extend the abstract Number class.");

    }

    return parsed;
}

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From source file:uk.org.funcube.fcdw.server.extract.csv.RealTimeCsvExtractor.java

public static double getPaPower(final Long value) {
    return 0.005 * Math.pow(value.doubleValue(), 2.0629);
}

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