public void getPerformanceTest() {
final int numEntries = 500;
final int numCycles = 5;
final int numGets = numCycles * numEntries;
final int minEntrySize = 50;
final int maxEntrySize = 1000;
final Random random = new Random();
File dbDir = createDbDir("getPerformanceTest");
Environment dbEnvironment =
BerkeleyDBViewComputationCacheSource.constructDatabaseEnvironment(dbDir, false);
BerkeleyDBBinaryDataStore dataStore =
new BerkeleyDBBinaryDataStore(dbEnvironment, "getPerformanceTest");
dataStore.start();
int randRange = maxEntrySize - minEntrySize;
for (int i = 0; i < numEntries; i++) {
int nBytes = minEntrySize + random.nextInt(randRange);
byte[] bytes = new byte[nBytes];
random.nextBytes(bytes);
dataStore.put(i, bytes);
}
OperationTimer timer = new OperationTimer(s_logger, "Loading {} entries", numGets);
for (int j = 0; j < numCycles; j++) {
for (int i = 0; i < numEntries; i++) {
byte[] data = dataStore.get(i);
assertNotNull(data);
assertTrue(data.length >= minEntrySize);
assertTrue(data.length <= maxEntrySize);
}
}
long numMillis = timer.finished();
double msPerGet = ((double) numMillis) / ((double) numGets);
double getsPerSecond = 1000.0 / msPerGet;
s_logger.info(
"for {} gets, {} ms/get, {} gets/sec", new Object[] {numGets, msPerGet, getsPerSecond});
dataStore.delete();
dataStore.stop();
dbEnvironment.close();
}
