我知道我的問題違背了Disruptor API的基本聲明。但是當我正在學習它時,我寫了一個程序來替換我使用ArrayLinkedBlockingQueue的我的1P-1C用例。但是,當我運行這個程序時,我總是花費更多的時間來處理干擾,而不是ArrayLinkedBlockingQueue。我一定是做錯了什麼或者錯了,但我不確定我的計劃是什麼。有人有意見嗎?我沒有看到Disruptor的性能提升
(這是一個測試程序,所以很明顯我的事件處理程序沒有做任何事情)
import java.util.concurrent.ArrayBlockingQueue;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.ThreadPoolExecutor;
import java.util.concurrent.TimeUnit;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.lmax.disruptor.BusySpinWaitStrategy;
import com.lmax.disruptor.EventFactory;
import com.lmax.disruptor.EventHandler;
import com.lmax.disruptor.EventTranslator;
import com.lmax.disruptor.RingBuffer;
import com.lmax.disruptor.dsl.Disruptor;
import com.lmax.disruptor.dsl.ProducerType;
public class SPSCDisruptorTest {
private static final int UNIT_SIZE = 1024;
private static final int BUFFER_SIZE = UNIT_SIZE * 1024 * 16;
private static final int ITERATIONS = BUFFER_SIZE;
private static final Logger logger = LoggerFactory
.getLogger(SPSCDisruptorTest.class);
private static class Data {
private String data;
public String getData() {
return data;
}
public void setData(String data) {
this.data = data;
}
@Override
public String toString() {
return "Data [data=" + data + "]";
}
public final static EventFactory<Data> DATA_FACTORY = new EventFactory<Data>() {
@Override
public Data newInstance() {
return new Data();
}
};
}
private static class DataEventTranslator implements EventTranslator<Data> {
private String payload;
public DataEventTranslator(String payload) {
this.payload = payload;
}
@Override
public void translateTo(Data d, long sequence) {
d.setData(payload);
}
};
public static void main(String[] args) throws InterruptedException {
new SPSCDisruptorTest().testDisruptor();
new SPSCDisruptorTest().testExecutor();
}
@SuppressWarnings("unchecked")
public void testDisruptor() {
ExecutorService exec = Executors.newSingleThreadExecutor();
Disruptor<Data> disruptor = new Disruptor<Data>(
SPSCDisruptorTest.Data.DATA_FACTORY, BUFFER_SIZE, exec,
ProducerType.SINGLE, new BusySpinWaitStrategy());
disruptor.handleEventsWith(new EventHandler<Data>() {
@Override
public void onEvent(Data data, long sequence, boolean endOfBatch)
throws Exception {
}
});
long t1 = System.nanoTime();
RingBuffer<Data> buffer = disruptor.start();
for (int i = 1; i <= ITERATIONS; i++) {
buffer.publishEvent(new DataEventTranslator("data" + i));
}
logger.info("waiting for shutdown");
disruptor.shutdown();
logger.info("Disruptor Time (ms): " + (System.nanoTime() - t1 * 1.0)
/1000);
logger.info("Disruptor is shutdown");
exec.shutdown();
}
public void testExecutor() throws InterruptedException {
ExecutorService executor = new ThreadPoolExecutor(1, 1, 0L,
TimeUnit.MILLISECONDS, new ArrayBlockingQueue<Runnable>(
BUFFER_SIZE));
long t1 = System.nanoTime();
for (int i = 1; i <= ITERATIONS; i++) {
executor.submit(new DataRunner("data" + i));
}
executor.shutdown();
executor.awaitTermination(5000, TimeUnit.SECONDS);
logger.info("Executor Time (ms): " + (System.nanoTime() - t1 * 1.0)
/1000);
}
private static class DataRunner implements Runnable {
private String data;
public DataRunner(String data) {
this.data = data;
}
@Override
public void run() {
}
}
}
我已經在我的機器上試過了你的代碼我每次都會得到更好的結果。我使用了較小的緩衝區大小,雖然 – Edge