use of java.util.TimerTask in project voltdb by VoltDB.
the class PositionsBenchmark method schedulePeriodicStats.
/**
* Create a Timer task to display performance data on the Vote procedure
* It calls printStatistics() every displayInterval seconds
*/
public void schedulePeriodicStats() {
timer = new Timer();
TimerTask statsPrinting = new TimerTask() {
@Override
public void run() {
printStatistics();
}
};
timer.scheduleAtFixedRate(statsPrinting, config.displayinterval * 1000, config.displayinterval * 1000);
}
use of java.util.TimerTask in project voltdb by VoltDB.
the class UniqueDevicesClient method schedulePeriodicStats.
/**
* Create a Timer task to display performance data on the Vote procedure
* It calls printStatistics() every displayInterval seconds
*/
public void schedulePeriodicStats() {
timer = new Timer();
TimerTask statsPrinting = new TimerTask() {
@Override
public void run() {
printStatistics();
}
};
timer.scheduleAtFixedRate(statsPrinting, config.displayinterval * 1000, config.displayinterval * 1000);
}
use of java.util.TimerTask in project voltdb by VoltDB.
the class AsyncBenchmark method schedulePeriodicStats.
/**
* Create a Timer task to display performance data on the Vote procedure
* It calls printStatistics() every displayInterval seconds
*/
public void schedulePeriodicStats() {
timer = new Timer();
TimerTask statsPrinting = new TimerTask() {
@Override
public void run() {
printStatistics();
}
};
timer.scheduleAtFixedRate(statsPrinting, config.displayinterval * 1000, config.displayinterval * 1000);
}
use of java.util.TimerTask 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();
}
}
use of java.util.TimerTask in project voltdb by VoltDB.
the class SyncBenchmark method schedulePeriodicStats.
/**
* Create a Timer task to display performance data on the Vote procedure
* It calls printStatistics() every displayInterval seconds
*/
public void schedulePeriodicStats() {
timer = new Timer();
TimerTask statsPrinting = new TimerTask() {
@Override
public void run() {
printStatistics();
}
};
timer.scheduleAtFixedRate(statsPrinting, config.displayinterval * 1000, config.displayinterval * 1000);
}
Aggregations