Examples with ClientStats org.voltdb.client.ClientStats used on opensource projects

Example 61 with ClientStats

use of org.voltdb.client.ClientStats in project voltdb by VoltDB.

the class KafkaImportBenchmark method printStatistics.

/**
     * Prints a one line update on performance that can be printed
     * periodically during a benchmark.
     */
public static synchronized void printStatistics() {
    try {
        ClientStats stats = periodicStatsContext.fetchAndResetBaseline().getStats();
        long thrup;
        thrup = stats.getTxnThroughput();
        long rows = MatchChecks.getExportRowCount(client);
        if (rows == VoltType.NULL_BIGINT)
            rows = 0;
        log.info("Importer stats: " + MatchChecks.getImportStats(client));
        log.info(String.format("Export Throughput %d/s, Total Rows %d, Aborts/Failures %d/%d, Avg/95%% Latency %.2f/%.2fms", thrup, rows, stats.getInvocationAborts(), stats.getInvocationErrors(), stats.getAverageLatency(), stats.kPercentileLatencyAsDouble(0.95)));
    } catch (Exception ex) {
        log.error("Exception in printStatistics", ex);
    }
}

Example 62 with ClientStats

use of org.voltdb.client.ClientStats in project voltdb by VoltDB.

the class HTTPBenchmark 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. Get/Put performance results
    String display = "\n" + HORIZONTAL_RULE + " KV Store Results\n" + HORIZONTAL_RULE + "\nA total of %,d operations were posted...\n" + " - GETs: %,9d Operations (%,d Misses and %,d Failures)\n" + "         %,9d MB in compressed store data\n" + "         %,9d MB in uncompressed application data\n" + "         Network Throughput: %6.3f Gbps*\n" + " - PUTs: %,9d Operations (%,d Failures)\n" + "         %,9d MB in compressed store data\n" + "         %,9d MB in uncompressed application data\n" + "         Network Throughput: %6.3f Gbps*\n" + " - Total Network Throughput: %6.3f Gbps*\n\n" + "* Figure includes key & value traffic but not database protocol overhead.\n\n";
    double oneGigabit = (1024 * 1024 * 1024) / 8;
    long oneMB = (1024 * 1024);
    double getThroughput = networkGetData.get() + (successfulGets.get() * config.keysize);
    getThroughput /= (oneGigabit * config.duration);
    long totalPuts = successfulPuts.get() + failedPuts.get();
    double putThroughput = networkGetData.get() + (totalPuts * config.keysize);
    putThroughput /= (oneGigabit * config.duration);
    System.out.printf(display, stats.getInvocationsCompleted(), successfulGets.get(), missedGets.get(), failedGets.get(), networkGetData.get() / oneMB, rawGetData.get() / oneMB, getThroughput, successfulPuts.get(), failedPuts.get(), networkPutData.get() / oneMB, rawPutData.get() / oneMB, putThroughput, getThroughput + putThroughput);
    // 2. 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("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.printf("99.999th percentile latency:   %,9.2f ms\n", stats.kPercentileLatencyAsDouble(.99999));
    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());
    System.out.print("\n" + HORIZONTAL_RULE);
    System.out.println(" Latency Histogram");
    System.out.println(HORIZONTAL_RULE);
    System.out.println(stats.latencyHistoReport());
    // 3. Write stats to file if requested
    client.writeSummaryCSV(stats, config.statsfile);
}

Example 63 with ClientStats

use of org.voltdb.client.ClientStats in project voltdb by VoltDB.

the class SyncBenchmark 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
    VoltTable result = client.callProcedure("Results").getResults()[0];
    System.out.println("Contestant Name\t\tVotes Received");
    while (result.advanceRow()) {
        System.out.printf("%s\t\t%,14d\n", result.getString(0), result.getLong(2));
    }
    System.out.printf("\nThe Winner is: %s\n\n", result.fetchRow(0).getString(0));
    // 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
    client.writeSummaryCSV(stats, config.statsfile);
}

Example 64 with ClientStats

use of org.voltdb.client.ClientStats in project voltdb by VoltDB.

the class AdHocBenchmark 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
    VoltTable result = client.callProcedure("Results").getResults()[0];
    System.out.println("Contestant Name\t\tVotes Received");
    while (result.advanceRow()) {
        System.out.printf("%s\t\t%,14d\n", result.getString(0), result.getLong(2));
    }
    System.out.printf("\nThe Winner is: %s\n\n", result.fetchRow(0).getString(0));
    // 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
    client.writeSummaryCSV(stats, config.statsfile);
}

Example 65 with ClientStats

use of org.voltdb.client.ClientStats in project voltdb by VoltDB.

the class AsyncBenchmark method printStatistics.

/**
     * Prints a one line update on performance that can be printed
     * periodically during a benchmark.
     */
public synchronized void printStatistics() {
    ClientStats stats = periodicStatsContext.fetchAndResetBaseline().getStats();
    long time = Math.round((stats.getEndTimestamp() - benchmarkStartTS) / 1000.0);
    System.out.printf("%02d:%02d:%02d ", time / 3600, (time / 60) % 60, time % 60);
    System.out.printf("Throughput %d/s, ", stats.getTxnThroughput());
    System.out.printf("Aborts/Failures %d/%d, ", stats.getInvocationAborts(), stats.getInvocationErrors());
    System.out.printf("Avg/95%% Latency %.2f/%.2fms\n", stats.getAverageLatency(), stats.kPercentileLatencyAsDouble(0.95));
}