Examples with IVoltDBConnection org.voltdb.jdbc.IVoltDBConnection used on opensource projects

Example 1 with IVoltDBConnection

use of org.voltdb.jdbc.IVoltDBConnection in project voltdb by VoltDB.

the class JDBCBenchmark method main.

// Application entry point
public static void main(String[] args) {
    try {
        // ---------------------------------------------------------------------------------------------------------------------------------------------------
        // Use the AppHelper utility class to retrieve command line application parameters
        // Define parameters and pull from command line
        AppHelper apph = new AppHelper(JDBCBenchmark.class.getCanonicalName()).add("threads", "thread_count", "Number of concurrent threads attacking the database.", 1).add("displayinterval", "display_interval_in_seconds", "Interval for performance feedback, in seconds.", 10).add("duration", "run_duration_in_seconds", "Benchmark duration, in seconds.", 120).add("servers", "comma_separated_server_list", "List of VoltDB servers to connect to.", "localhost").add("port", "port_number", "Client port to connect to on cluster nodes.", 21212).add("poolsize", "pool_size", "Size of the record pool to operate on - larger sizes will cause a higher insert/update-delete rate.", 100000).add("procedure", "procedure_name", "Procedure to call.", "JiggleSinglePartition").add("wait", "wait_duration", "Wait duration (only when calling one of the Wait procedures), in milliseconds.", 0).setArguments(args);
        // Retrieve parameters
        final int threadCount = apph.intValue("threads");
        final long displayInterval = apph.longValue("displayinterval");
        final long duration = apph.longValue("duration");
        final String servers = apph.stringValue("servers");
        final int port = apph.intValue("port");
        final int poolSize = apph.intValue("poolsize");
        final String procedure = apph.stringValue("procedure");
        final long wait = apph.intValue("wait");
        final String csv = apph.stringValue("statsfile");
        // Validate parameters
        apph.validate("duration", (duration > 0)).validate("threads", (threadCount > 0)).validate("poolsize", (poolSize > 0)).validate("wait", (wait >= 0));
        // Display actual parameters, for reference
        apph.printActualUsage();
        // ---------------------------------------------------------------------------------------------------------------------------------------------------
        // We need only do this once, to "hot cache" the JDBC driver reference so the JVM may realize it's there.
        Class.forName("org.voltdb.jdbc.Driver");
        // Prepare the JDBC URL for the VoltDB driver
        String url = "jdbc:voltdb://" + servers + ":" + port;
        // Get a client connection - we retry for a while in case the server hasn't started yet
        System.out.printf("Connecting to: %s\n", url);
        int sleep = 1000;
        while (true) {
            try {
                Con = DriverManager.getConnection(url, "", "");
                break;
            } catch (Exception e) {
                System.err.printf("Connection failed - retrying in %d second(s).\n", sleep / 1000);
                try {
                    Thread.sleep(sleep);
                } catch (Exception tie) {
                }
                if (sleep < 8000)
                    sleep += sleep;
            }
        }
        System.out.println("Connected.  Starting benchmark.");
        // ---------------------------------------------------------------------------------------------------------------------------------------------------
        final ClientStatsContext fullStatsContext = ((IVoltDBConnection) Con).createStatsContext();
        periodicStatsContext = ((IVoltDBConnection) Con).createStatsContext();
        benchmarkStartTS = System.currentTimeMillis();
        // Create a Timer task to display performance data on the procedure
        Timer timer = new Timer();
        TimerTask statsPrinting = new TimerTask() {

            @Override
            public void run() {
                printStatistics();
            }
        };
        timer.scheduleAtFixedRate(statsPrinting, displayInterval * 1000l, displayInterval * 1000l);
        // ---------------------------------------------------------------------------------------------------------------------------------------------------
        // Create multiple processing threads
        ArrayList<Thread> threads = new ArrayList<Thread>();
        for (int i = 0; i < threadCount; i++) threads.add(new Thread(new ClientThread(url, procedure, poolSize, wait, duration)));
        // Start threads
        for (Thread thread : threads) thread.start();
        // Wait for threads to complete
        for (Thread thread : threads) thread.join();
        // ---------------------------------------------------------------------------------------------------------------------------------------------------
        // We're done - stop the performance statistics display task
        timer.cancel();
        // ---------------------------------------------------------------------------------------------------------------------------------------------------
        // Now print application results:
        // 1. Tracking statistics
        System.out.printf("-------------------------------------------------------------------------------------\n" + " Benchmark Results\n" + "-------------------------------------------------------------------------------------\n\n" + "A total of %d calls was received...\n" + " - %,9d Succeeded\n" + " - %,9d Failed (Transaction Error)\n" + "\n\n" + "-------------------------------------------------------------------------------------\n", TrackingResults.get(0) + TrackingResults.get(1), TrackingResults.get(0), TrackingResults.get(1));
        // 3. Performance statistics (we only care about the procedure that we're benchmarking)
        System.out.println("\n\n-------------------------------------------------------------------------------------\n" + " System Statistics\n" + "-------------------------------------------------------------------------------------\n\n");
        try {
            System.out.print(fullStatsContext.getStatsForProcedure(procedure).toString());
        } catch (Exception e) {
            e.printStackTrace();
        }
        // Dump statistics to a CSV file
        Con.unwrap(IVoltDBConnection.class).saveStatistics(fullStatsContext.getStats(), csv);
        Con.close();
    // ---------------------------------------------------------------------------------------------------------------------------------------------------
    } catch (Exception x) {
        System.out.println("Exception: " + x);
        x.printStackTrace();
    }
}

Example 2 with IVoltDBConnection

use of org.voltdb.jdbc.IVoltDBConnection in project voltdb by VoltDB.

the class JDBCBenchmark method main.

// Application entry point
public static void main(String[] args) {
    try {
        KVConfig config = new KVConfig();
        config.parse(JDBCBenchmark.class.getName(), args);
        System.out.println(config.getConfigDumpString());
        // ---------------------------------------------------------------------------------------------------------------------------------------------------
        // We need only do this once, to "hot cache" the JDBC driver reference so the JVM may realize it's there.
        Class.forName(DRIVER_NAME);
        // Prepare the JDBC URL for the VoltDB driver
        String url = "jdbc:voltdb://" + config.servers;
        // Prepare the Datasource if choose to use a connection pool
        if (config.externalConnectionPool.equalsIgnoreCase(C3P0_CONNECTIONPOOL)) {
            useConnectionPool = true;
            ComboPooledDataSource cpds = new ComboPooledDataSource();
            //loads the jdbc driver
            cpds.setDriverClass(DRIVER_NAME);
            cpds.setJdbcUrl(url);
            Ds = cpds;
        } else if (config.externalConnectionPool.equalsIgnoreCase(TOMCAT_CONNECTIONPOOL)) {
            useConnectionPool = true;
            // read the config file for connection pool
            String configName = "tomcat.properties";
            boolean useDefaultConnectionPoolConfig = true;
            Properties cpProperties = new Properties();
            try {
                FileInputStream fileInput = new FileInputStream(new File(configName));
                cpProperties.load(fileInput);
                fileInput.close();
                useDefaultConnectionPoolConfig = false;
            } catch (FileNotFoundException e) {
                System.out.println("connection pool property file '" + configName + "' not found, use default settings");
            }
            PoolProperties p = new PoolProperties();
            p.setUrl(url);
            p.setDriverClassName(DRIVER_NAME);
            if (useDefaultConnectionPoolConfig) {
                p.setInitialSize(config.threads + 1);
            } else {
                p.setInitialSize(Integer.parseInt(cpProperties.getProperty("tomcat.initialSize", "40")));
            }
            org.apache.tomcat.jdbc.pool.DataSource tomcatDs = new org.apache.tomcat.jdbc.pool.DataSource();
            tomcatDs.setPoolProperties(p);
            Ds = tomcatDs;
        } else if (config.externalConnectionPool.equalsIgnoreCase(BONECP_CONNECTIONPOOL)) {
            useConnectionPool = true;
            String configName = "bonecp.properties";
            boolean useDefaultConnectionPoolConfig = true;
            Properties cpProperties = new Properties();
            try {
                FileInputStream fileInput = new FileInputStream(new File(configName));
                cpProperties.load(fileInput);
                fileInput.close();
                useDefaultConnectionPoolConfig = false;
            } catch (FileNotFoundException e) {
                System.out.println("connection pool property file '" + configName + "' not found, use default settings");
            }
            BoneCPConfig p;
            if (useDefaultConnectionPoolConfig) {
                p = new BoneCPConfig();
                p.setDefaultReadOnly(false);
                p.setPartitionCount(config.threads / 2);
                p.setMaxConnectionsPerPartition(4);
            } else {
                p = new BoneCPConfig(cpProperties);
            }
            // set the JDBC url
            p.setJdbcUrl(url + "?enableSetReadOnly=true");
            BoneCPDataSource boneDs = new BoneCPDataSource(p);
            Ds = boneDs;
        } else if (config.externalConnectionPool.equalsIgnoreCase(HIKARI_CONNECTIONPOOL)) {
            useConnectionPool = true;
            HikariConfig p = new HikariConfig("hikari.properties");
            p.setDriverClassName(DRIVER_NAME);
            p.setJdbcUrl(url);
            HikariDataSource hiDs = new HikariDataSource(p);
            Ds = hiDs;
        } else {
            useConnectionPool = false;
            Ds = null;
        }
        // Get a client connection - we retry for a while in case the server hasn't started yet
        System.out.printf("Connecting to: %s\n", url);
        int sleep = 1000;
        while (true) {
            try {
                if (useConnectionPool) {
                    Ds.getConnection();
                    System.out.printf("Using Connection Pool: %s\n", config.externalConnectionPool);
                }
                Con = DriverManager.getConnection(url, "", "");
                break;
            } catch (Exception e) {
                System.err.printf("Connection failed - retrying in %d second(s).\n " + e, sleep / 1000);
                try {
                    Thread.sleep(sleep);
                } catch (Exception tie) {
                }
                if (sleep < 8000)
                    sleep += sleep;
            }
        }
        // Statistics manager objects from the connection, used to generate latency histogram
        ClientStatsContext fullStatsContext = ((IVoltDBConnection) Con).createStatsContext();
        periodicStatsContext = ((IVoltDBConnection) Con).createStatsContext();
        System.out.println("Connected.  Starting benchmark.");
        // Get a payload generator to create random Key-Value pairs to store in the database and process (uncompress) pairs retrieved from the database.
        final PayloadProcessor processor = new PayloadProcessor(config.keysize, config.minvaluesize, config.maxvaluesize, config.entropy, config.poolsize, config.usecompression);
        // Initialize the store
        if (config.preload) {
            System.out.print("Initializing data store... ");
            final PreparedStatement removeCS = Con.prepareStatement("DELETE FROM store;");
            final CallableStatement putCS = Con.prepareCall("{call STORE.upsert(?,?)}");
            for (int i = 0; i < config.poolsize; i++) {
                if (i == 0) {
                    removeCS.execute();
                }
                putCS.setString(1, String.format(processor.KeyFormat, i));
                putCS.setBytes(2, processor.generateForStore().getStoreValue());
                putCS.execute();
            }
            System.out.println(" Done.");
        }
        // start the stats
        fullStatsContext.fetchAndResetBaseline();
        periodicStatsContext.fetchAndResetBaseline();
        benchmarkStartTS = System.currentTimeMillis();
        // ---------------------------------------------------------------------------------------------------------------------------------------------------
        // Create a Timer task to display performance data on the operating procedures
        Timer timer = new Timer();
        TimerTask statsPrinting = new TimerTask() {

            @Override
            public void run() {
                printStatistics();
            }
        };
        timer.scheduleAtFixedRate(statsPrinting, config.displayinterval * 1000l, config.displayinterval * 1000l);
        // ---------------------------------------------------------------------------------------------------------------------------------------------------
        // Create multiple processing threads
        ArrayList<Thread> threads = new ArrayList<Thread>();
        for (int i = 0; i < config.threads; i++) threads.add(new Thread(new ClientThread(url, processor, config.duration, config.getputratio)));
        // Start threads
        for (Thread thread : threads) thread.start();
        // Wait for threads to complete
        for (Thread thread : threads) thread.join();
        // ---------------------------------------------------------------------------------------------------------------------------------------------------
        // We're done - stop the performance statistics display task
        timer.cancel();
        // ---------------------------------------------------------------------------------------------------------------------------------------------------
        // Now print application results:
        // stop and fetch the stats
        ClientStats stats = fullStatsContext.fetch().getStats();
        // 1. Store statistics as tracked by the application (ops counts, payload traffic)
        System.out.printf("\n-------------------------------------------------------------------------------------\n" + " Store Results\n" + "-------------------------------------------------------------------------------------\n\n" + "A total of %,d operations was posted...\n" + " - GETs: %,9d Operations (%,9d Misses/Failures)\n" + "         %,9d MB in compressed store data\n" + "         %,9d MB in uncompressed application data\n" + "         Network Throughput: %6.3f Gbps*\n\n" + " - PUTs: %,9d Operations (%,9d Failures)\n" + "         %,9d MB in compressed store data\n" + "         %,9d MB in uncompressed application data\n" + "         Network Throughput: %6.3f Gbps*\n\n" + " - Total Network Throughput: %6.3f Gbps*\n\n" + "* Figure includes key & value traffic but not database protocol overhead.\n" + "\n" + "-------------------------------------------------------------------------------------\n", GetStoreResults.get(0) + GetStoreResults.get(1) + PutStoreResults.get(0) + PutStoreResults.get(1), GetStoreResults.get(0), GetStoreResults.get(1), GetCompressionResults.get(0) / 1048576l, GetCompressionResults.get(1) / 1048576l, ((double) GetCompressionResults.get(0) + (GetStoreResults.get(0) + GetStoreResults.get(1)) * config.keysize) / (134217728d * config.duration), PutStoreResults.get(0), PutStoreResults.get(1), PutCompressionResults.get(0) / 1048576l, PutCompressionResults.get(1) / 1048576l, ((double) PutCompressionResults.get(0) + (PutStoreResults.get(0) + PutStoreResults.get(1)) * config.keysize) / (134217728d * config.duration), ((double) GetCompressionResults.get(0) + (GetStoreResults.get(0) + GetStoreResults.get(1)) * config.keysize) / (134217728d * config.duration) + ((double) PutCompressionResults.get(0) + (PutStoreResults.get(0) + PutStoreResults.get(1)) * config.keysize) / (134217728d * config.duration));
        System.out.println("\n\n-------------------------------------------------------------------------------------\n" + " Client Latency Statistics\n" + "-------------------------------------------------------------------------------------\n\n");
        System.out.printf("Average latency:               %,9.2f ms\n", stats.getAverageLatency());
        System.out.printf("10th percentile latency:       %,9.2f ms\n", stats.kPercentileLatencyAsDouble(.1));
        System.out.printf("25th percentile latency:       %,9.2f ms\n", stats.kPercentileLatencyAsDouble(.25));
        System.out.printf("50th percentile latency:       %,9.2f ms\n", stats.kPercentileLatencyAsDouble(.5));
        System.out.printf("75th percentile latency:       %,9.2f ms\n", stats.kPercentileLatencyAsDouble(.75));
        System.out.printf("90th percentile latency:       %,9.2f ms\n", stats.kPercentileLatencyAsDouble(.9));
        System.out.printf("95th percentile latency:       %,9.2f ms\n", stats.kPercentileLatencyAsDouble(.95));
        System.out.printf("99th percentile latency:       %,9.2f ms\n", stats.kPercentileLatencyAsDouble(.99));
        System.out.printf("99.5th percentile latency:     %,9.2f ms\n", stats.kPercentileLatencyAsDouble(.995));
        System.out.printf("99.9th percentile latency:     %,9.2f ms\n", stats.kPercentileLatencyAsDouble(.999));
        System.out.println("\n\n" + stats.latencyHistoReport());
        // Dump statistics to a CSV file
        Con.unwrap(IVoltDBConnection.class).saveStatistics(stats, config.statsfile);
        Con.close();
    // ---------------------------------------------------------------------------------------------------------------------------------------------------
    } catch (Exception x) {
        System.out.println("Exception: " + x);
        x.printStackTrace();
    }
}

Example 3 with IVoltDBConnection

use of org.voltdb.jdbc.IVoltDBConnection in project voltdb by VoltDB.

the class JDBCBenchmark method printResults.

/**
     * Prints the results of the voting simulation and statistics about
     * performance.
     *
     * @throws Exception
     *             if anything unexpected happens.
     */
public synchronized void printResults() throws Exception {
    ClientStats stats = fullStatsContext.fetch().getStats();
    // 1. Voting Board statistics, Voting results and performance statistics
    String display = "\n" + HORIZONTAL_RULE + " Voting Results\n" + HORIZONTAL_RULE + "\nA total of %d votes were received...\n" + " - %,9d Accepted\n" + " - %,9d Rejected (Invalid Contestant)\n" + " - %,9d Rejected (Maximum Vote Count Reached)\n" + " - %,9d Failed (Transaction Error)\n\n";
    System.out.printf(display, stats.getInvocationsCompleted(), acceptedVotes.get(), badContestantVotes.get(), badVoteCountVotes.get(), failedVotes.get());
    // 2. Voting results
    final CallableStatement resultsCS = client.prepareCall("{call Results}");
    ResultSet result = resultsCS.executeQuery();
    String winner = "";
    long winnerVoteCount = 0;
    System.out.println("Contestant Name\t\tVotes Received");
    while (result.next()) {
        if (result.getLong(3) > winnerVoteCount) {
            winnerVoteCount = result.getLong(3);
            winner = result.getString(1);
        }
        System.out.printf("%s\t\t%,14d\n", result.getString(1), result.getLong(3));
    }
    System.out.printf("\nThe Winner is: %s\n\n", winner);
    // 3. Performance statistics
    System.out.print(HORIZONTAL_RULE);
    System.out.println(" Client Workload Statistics");
    System.out.println(HORIZONTAL_RULE);
    System.out.printf("Average throughput:            %,9d txns/sec\n", stats.getTxnThroughput());
    System.out.printf("Average latency:               %,9.2f ms\n", stats.getAverageLatency());
    System.out.printf("95th percentile latency:       %,9.2f ms\n", stats.kPercentileLatencyAsDouble(.95));
    System.out.printf("99th percentile latency:       %,9.2f ms\n", stats.kPercentileLatencyAsDouble(.99));
    System.out.print("\n" + HORIZONTAL_RULE);
    System.out.println(" System Server Statistics");
    System.out.println(HORIZONTAL_RULE);
    System.out.printf("Reported Internal Avg Latency: %,9.2f ms\n", stats.getAverageInternalLatency());
    // 4. Write stats to file if requested
    ((IVoltDBConnection) client).writeSummaryCSV(stats, config.statsfile);
}

Example 4 with IVoltDBConnection

use of org.voltdb.jdbc.IVoltDBConnection in project voltdb by VoltDB.

the class JDBCBenchmark method main.

// Application entry point
public static void main(String[] args) {
    try {
        KVConfig config = new KVConfig();
        config.parse(JDBCBenchmark.class.getName(), args);
        System.out.println(config.getConfigDumpString());
        // ---------------------------------------------------------------------------------------------------------------------------------------------------
        // We need only do this once, to "hot cache" the JDBC driver reference so the JVM may realize it's there.
        Class.forName("org.voltdb.jdbc.Driver");
        // Prepare the JDBC URL for the VoltDB driver
        String url = "jdbc:voltdb://" + config.servers;
        // Get a client connection - we retry for a while in case the server hasn't started yet
        System.out.printf("Connecting to: %s\n", url);
        int sleep = 1000;
        while (true) {
            try {
                Con = DriverManager.getConnection(url, "", "");
                break;
            } catch (Exception e) {
                System.err.printf("Connection failed - retrying in %d second(s).\n", sleep / 1000);
                try {
                    Thread.sleep(sleep);
                } catch (Exception tie) {
                }
                if (sleep < 8000)
                    sleep += sleep;
            }
        }
        // Statistics manager objects from the connection, used to generate latency histogram
        ClientStatsContext fullStatsContext = ((IVoltDBConnection) Con).createStatsContext();
        periodicStatsContext = ((IVoltDBConnection) Con).createStatsContext();
        System.out.println("Connected.  Starting benchmark.");
        // Get a payload generator to create random Key-Value pairs to store in the database and process (uncompress) pairs retrieved from the database.
        final PayloadProcessor processor = new PayloadProcessor(config.keysize, config.minvaluesize, config.maxvaluesize, config.entropy, config.poolsize, config.usecompression);
        // Initialize the store
        if (config.preload) {
            System.out.print("Initializing data store... ");
            final PreparedStatement removeCS = Con.prepareStatement("DELETE FROM store;");
            final CallableStatement putCS = Con.prepareCall("{call STORE.upsert(?,?)}");
            for (int i = 0; i < config.poolsize; i++) {
                if (i == 0) {
                    removeCS.execute();
                }
                putCS.setString(1, String.format(processor.KeyFormat, i));
                putCS.setBytes(2, processor.generateForStore().getStoreValue());
                putCS.execute();
            }
            System.out.println(" Done.");
        }
        // start the stats
        fullStatsContext.fetchAndResetBaseline();
        periodicStatsContext.fetchAndResetBaseline();
        benchmarkStartTS = System.currentTimeMillis();
        // ---------------------------------------------------------------------------------------------------------------------------------------------------
        // Create a Timer task to display performance data on the operating procedures
        Timer timer = new Timer();
        TimerTask statsPrinting = new TimerTask() {

            @Override
            public void run() {
                printStatistics();
            }
        };
        timer.scheduleAtFixedRate(statsPrinting, config.displayinterval * 1000l, config.displayinterval * 1000l);
        // ---------------------------------------------------------------------------------------------------------------------------------------------------
        // Create multiple processing threads
        ArrayList<Thread> threads = new ArrayList<Thread>();
        for (int i = 0; i < config.threads; i++) threads.add(new Thread(new ClientThread(url, processor, config.duration, config.getputratio)));
        // Start threads
        for (Thread thread : threads) thread.start();
        // Wait for threads to complete
        for (Thread thread : threads) thread.join();
        // ---------------------------------------------------------------------------------------------------------------------------------------------------
        // We're done - stop the performance statistics display task
        timer.cancel();
        // ---------------------------------------------------------------------------------------------------------------------------------------------------
        // Now print application results:
        // stop and fetch the stats
        ClientStats stats = fullStatsContext.fetch().getStats();
        // 1. Store statistics as tracked by the application (ops counts, payload traffic)
        System.out.printf("\n-------------------------------------------------------------------------------------\n" + " Store Results\n" + "-------------------------------------------------------------------------------------\n\n" + "A total of %,d operations was posted...\n" + " - GETs: %,9d Operations (%,9d Misses/Failures)\n" + "         %,9d MB in compressed store data\n" + "         %,9d MB in uncompressed application data\n" + "         Network Throughput: %6.3f Gbps*\n\n" + " - PUTs: %,9d Operations (%,9d Failures)\n" + "         %,9d MB in compressed store data\n" + "         %,9d MB in uncompressed application data\n" + "         Network Throughput: %6.3f Gbps*\n\n" + " - Total Network Throughput: %6.3f Gbps*\n\n" + "* Figure includes key & value traffic but not database protocol overhead.\n" + "\n" + "-------------------------------------------------------------------------------------\n", GetStoreResults.get(0) + GetStoreResults.get(1) + PutStoreResults.get(0) + PutStoreResults.get(1), GetStoreResults.get(0), GetStoreResults.get(1), GetCompressionResults.get(0) / 1048576l, GetCompressionResults.get(1) / 1048576l, ((double) GetCompressionResults.get(0) + (GetStoreResults.get(0) + GetStoreResults.get(1)) * config.keysize) / (134217728d * config.duration), PutStoreResults.get(0), PutStoreResults.get(1), PutCompressionResults.get(0) / 1048576l, PutCompressionResults.get(1) / 1048576l, ((double) PutCompressionResults.get(0) + (PutStoreResults.get(0) + PutStoreResults.get(1)) * config.keysize) / (134217728d * config.duration), ((double) GetCompressionResults.get(0) + (GetStoreResults.get(0) + GetStoreResults.get(1)) * config.keysize) / (134217728d * config.duration) + ((double) PutCompressionResults.get(0) + (PutStoreResults.get(0) + PutStoreResults.get(1)) * config.keysize) / (134217728d * config.duration));
        System.out.println("\n\n-------------------------------------------------------------------------------------\n" + " Client Latency Statistics\n" + "-------------------------------------------------------------------------------------\n\n");
        System.out.printf("Average latency:               %,9.2f ms\n", stats.getAverageLatency());
        System.out.printf("10th percentile latency:       %,9.2f ms\n", stats.kPercentileLatencyAsDouble(.1));
        System.out.printf("25th percentile latency:       %,9.2f ms\n", stats.kPercentileLatencyAsDouble(.25));
        System.out.printf("50th percentile latency:       %,9.2f ms\n", stats.kPercentileLatencyAsDouble(.5));
        System.out.printf("75th percentile latency:       %,9.2f ms\n", stats.kPercentileLatencyAsDouble(.75));
        System.out.printf("90th percentile latency:       %,9.2f ms\n", stats.kPercentileLatencyAsDouble(.9));
        System.out.printf("95th percentile latency:       %,9.2f ms\n", stats.kPercentileLatencyAsDouble(.95));
        System.out.printf("99th percentile latency:       %,9.2f ms\n", stats.kPercentileLatencyAsDouble(.99));
        System.out.printf("99.5th percentile latency:     %,9.2f ms\n", stats.kPercentileLatencyAsDouble(.995));
        System.out.printf("99.9th percentile latency:     %,9.2f ms\n", stats.kPercentileLatencyAsDouble(.999));
        System.out.println("\n\n" + stats.latencyHistoReport());
        // Dump statistics to a CSV file
        Con.unwrap(IVoltDBConnection.class).saveStatistics(stats, config.statsfile);
        Con.close();
    // ---------------------------------------------------------------------------------------------------------------------------------------------------
    } catch (Exception x) {
        System.out.println("Exception: " + x);
        x.printStackTrace();
    }
}