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[英]Why my Disruptor program don't take full advantage of the ringbuffer
[英]I don't see the performance improvement of Disruptor
我知道我的問題與Disruptor API的根本主張背道而馳。 但是,當我學習它時,我寫了一個程序來替換我在使用ArrayLinkedBlockingQueue的1P-1C用例。 但是,當我運行程序時,與ArrayLinkedBlockingQueue相比,我使干擾器花費的總時間更糟。 我一定做錯了或度量錯誤,但是我不確定程序中的內容。 有人有意見嗎?
(這是一個測試程序,因此顯然我的EventHandler沒有執行任何操作)
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() {
}
}
}
您實際上是在測量錯誤。 啟動干擾器后,應該開始測量,因為它需要花費一些時間進行預熱(分配環形緩沖區)。 由於緩沖區很大,因此預熱需要花費大量時間。 請嘗試下面的示例代碼。 它應該給您更好的時間。
RingBuffer<Data> buffer = disruptor.start();
long t1 = System.nanoTime();
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);
您沒有足夠的爭論來說明無鎖干擾器如何提供幫助。 特別是,您的執行者隊列與迭代一樣大! 所有數據都適合執行程序隊列,因此它基本上絕不會在非空/非滿條件下運行。
執行器服務也確實很糟糕,因為如果隊列較小,您將拒絕執行。 您需要比較的是2個線程和一個有限隊列(可能長1000)並阻塞了.put()/。take()調用。
更糟糕的是,您需要成批的數據(而不是1比1),並且需要許多讀者,甚至可能需要很多作家。 通過對執行程序測試進行競爭的隊列訪問,中斷程序應該毫無問題地顯示其性能。
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