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Add for-loop for data size list
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Signed-off-by: acarbonetto <[email protected]>
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@acarbonetto
acarbonetto committed Oct 10, 2023
1 parent 9f88ed6 commit 4209abc
Showing 1 changed file with 82 additions and 65 deletions.
147 changes: 82 additions & 65 deletions java/benchmarks/src/main/java/javababushka/benchmarks/utils/Benchmarking.java
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Original file line number Diff line number Diff line change
Expand Up @@ -27,6 +27,10 @@ public class Benchmarking {
static final int SIZE_GET_KEYSPACE = 3750000;
static final int SIZE_SET_KEYSPACE = 3000000;
static final int ASYNC_OPERATION_TIMEOUT_SEC = 1;
static final double LATENCY_NORMALIZATION = 1000000.0;
static final int LATENCY_MIN = 100000;
static final int LATENCY_MAX = 10000000;
static final int LATENCY_MULTIPLIER = 10000;

private static ChosenAction randomAction() {
if (Math.random() > PROB_GET) {
Expand Down Expand Up @@ -125,11 +129,16 @@ public static void printResults(
LatencyResults results = entry.getValue();

try {
resultsFile.write("Avg. time in ms per " + action + ": " + results.avgLatency / 1000000.0);
resultsFile.write(action + " p50 latency in ms: " + results.p50Latency / 1000000.0);
resultsFile.write(action + " p90 latency in ms: " + results.p90Latency / 1000000.0);
resultsFile.write(action + " p99 latency in ms: " + results.p99Latency / 1000000.0);
resultsFile.write(action + " std dev in ms: " + results.stdDeviation / 1000000.0);
resultsFile.write(
"Avg. time in ms per " + action + ": " + results.avgLatency / LATENCY_NORMALIZATION);
resultsFile.write(
action + " p50 latency in ms: " + results.p50Latency / LATENCY_NORMALIZATION);
resultsFile.write(
action + " p90 latency in ms: " + results.p90Latency / LATENCY_NORMALIZATION);
resultsFile.write(
action + " p99 latency in ms: " + results.p99Latency / LATENCY_NORMALIZATION);
resultsFile.write(
action + " std dev in ms: " + results.stdDeviation / LATENCY_NORMALIZATION);
} catch (Exception ignored) {
}
}
Expand All @@ -140,83 +149,91 @@ public static void printResults(Map<ChosenAction, LatencyResults> resultsMap) {
ChosenAction action = entry.getKey();
LatencyResults results = entry.getValue();

System.out.println("Avg. time in ms per " + action + ": " + results.avgLatency / 1000000.0);
System.out.println(action + " p50 latency in ms: " + results.p50Latency / 1000000.0);
System.out.println(action + " p90 latency in ms: " + results.p90Latency / 1000000.0);
System.out.println(action + " p99 latency in ms: " + results.p99Latency / 1000000.0);
System.out.println(action + " std dev in ms: " + results.stdDeviation / 1000000.0);
System.out.println(
"Avg. time in ms per " + action + ": " + results.avgLatency / LATENCY_NORMALIZATION);
System.out.println(
action + " p50 latency in ms: " + results.p50Latency / LATENCY_NORMALIZATION);
System.out.println(
action + " p90 latency in ms: " + results.p90Latency / LATENCY_NORMALIZATION);
System.out.println(
action + " p99 latency in ms: " + results.p99Latency / LATENCY_NORMALIZATION);
System.out.println(
action + " std dev in ms: " + results.stdDeviation / LATENCY_NORMALIZATION);
}
}

public static void testClientSetGet(
Supplier<Client> clientCreator, BenchmarkingApp.RunConfiguration config, boolean async) {
for (int concurrentNum : config.concurrentTasks) {
int iterations = Math.min(Math.max(100000, concurrentNum * 10000), 10000000);
int iterations =
Math.min(Math.max(LATENCY_MIN, concurrentNum * LATENCY_MULTIPLIER), LATENCY_MAX);
for (int clientCount : config.clientCount) {
System.out.printf(
"%n =====> %s <===== %d clients %d concurrent %n%n",
clientCreator.get().getName(), clientCount, concurrentNum);
AtomicInteger iterationCounter = new AtomicInteger(0);
Map<ChosenAction, ArrayList<Long>> actionResults =
Map.of(
ChosenAction.GET_EXISTING, new ArrayList<>(),
ChosenAction.GET_NON_EXISTING, new ArrayList<>(),
ChosenAction.SET, new ArrayList<>());
List<Runnable> tasks = new ArrayList<>();
for (int dataSize : config.dataSize) {
System.out.printf(
"%n =====> %s <===== %d clients %d concurrent %d data %n%n",
clientCreator.get().getName(), clientCount, concurrentNum, dataSize);
AtomicInteger iterationCounter = new AtomicInteger(0);
Map<ChosenAction, ArrayList<Long>> actionResults =
Map.of(
ChosenAction.GET_EXISTING, new ArrayList<>(),
ChosenAction.GET_NON_EXISTING, new ArrayList<>(),
ChosenAction.SET, new ArrayList<>());
List<Runnable> tasks = new ArrayList<>();

// create clients
List<Client> clients = new LinkedList<>();
for (int cc = 0; cc < clientCount; cc++) {
Client newClient = clientCreator.get();
newClient.connectToRedis(new ConnectionSettings(config.host, config.port, config.tls));
clients.add(newClient);
}
// create clients
List<Client> clients = new LinkedList<>();
for (int cc = 0; cc < clientCount; cc++) {
Client newClient = clientCreator.get();
newClient.connectToRedis(new ConnectionSettings(config.host, config.port, config.tls));
clients.add(newClient);
}

for (int taskNum = 0; taskNum < concurrentNum; taskNum++) {
final int taskNumDebugging = taskNum;
tasks.add(
() -> {
int iterationIncrement = iterationCounter.getAndIncrement();
int clientIndex = iterationIncrement % clients.size();
for (int taskNum = 0; taskNum < concurrentNum; taskNum++) {
final int taskNumDebugging = taskNum;
tasks.add(
() -> {
int iterationIncrement = iterationCounter.getAndIncrement();
int clientIndex = iterationIncrement % clients.size();

if (config.debugLogging) {
System.out.printf(
"%n concurrent = %d/%d, client# = %d/%d%n",
taskNumDebugging, concurrentNum, clientIndex + 1, clientCount);
}
while (iterationIncrement < iterations) {
if (config.debugLogging) {
System.out.printf(
"> iteration = %d/%d, client# = %d/%d%n",
iterationIncrement + 1, iterations, clientIndex + 1, clientCount);
"%n concurrent = %d/%d, client# = %d/%d%n",
taskNumDebugging, concurrentNum, clientIndex + 1, clientCount);
}
// operate and calculate tik-tok
Pair<ChosenAction, Long> result =
measurePerformance(clients.get(clientIndex), config.dataSize, async);
actionResults.get(result.getLeft()).add(result.getRight());
while (iterationIncrement < iterations) {
if (config.debugLogging) {
System.out.printf(
"> iteration = %d/%d, client# = %d/%d%n",
iterationIncrement + 1, iterations, clientIndex + 1, clientCount);
}
// operate and calculate tik-tok
Pair<ChosenAction, Long> result =
measurePerformance(clients.get(clientIndex), dataSize, async);
actionResults.get(result.getLeft()).add(result.getRight());

iterationIncrement = iterationCounter.getAndIncrement();
}
});
}
if (config.debugLogging) {
System.out.printf("%s client Benchmarking: %n", clientCreator.get().getName());
System.out.printf(
"===> concurrentNum = %d, clientNum = %d, tasks = %d%n",
concurrentNum, clientCount, tasks.size());
}
tasks.stream()
.map(CompletableFuture::runAsync)
.forEach(
f -> {
try {
f.get();
} catch (Exception e) {
e.printStackTrace();
iterationIncrement = iterationCounter.getAndIncrement();
}
});
}
if (config.debugLogging) {
System.out.printf("%s client Benchmarking: %n", clientCreator.get().getName());
System.out.printf(
"===> concurrentNum = %d, clientNum = %d, tasks = %d%n",
concurrentNum, clientCount, tasks.size());
}
tasks.stream()
.map(CompletableFuture::runAsync)
.forEach(
f -> {
try {
f.get();
} catch (Exception e) {
e.printStackTrace();
}
});

printResults(calculateResults(actionResults), config.resultsFile);
printResults(calculateResults(actionResults), config.resultsFile);
}
}
}

Expand Down

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