我正在开发一个Java应用程序来从磁盘读取多个文本文件，修改它们并将修改后的文件写回磁盘。当我使用＆＃34; FileReadTestJavaGui-1.05.jar＆＃34;运行读取测试时从http://sourceforge.net/projects/filereadtest/files/filereadtest-java-gui/开始，我的读取速度高达250 MB /秒。当我运行下面给出的测试应用程序时，我的读取速度低至11.75 MB /秒。我使用的是ThreadPoolExecutor，无法获得一致的读/写速度。任何解决此问题的建议都是非常受欢迎的。我在配备12 GB RAM的Dell双四核2.4 GHz计算机上的Windows 2008 Server R2计算机上运行这些测试。
import java.io.File;
import java.io.FileInputStream;
import java.io.FileOutputStream;
import java.io.IOException;
import java.util.concurrent.ArrayBlockingQueue;
import java.util.concurrent.ThreadPoolExecutor;
import java.util.concurrent.TimeUnit;
public class RunTest {
private static String baseFileName = "C:/logs/input_";
private static class FileReaderRunnable implements Runnable {
public FileReaderRunnable(int threadID) {
super();
this.threadID = threadID;
}
int threadID = -1;
@Override
public void run() {
Thread.currentThread().setName("Thread-" + threadID);
String writeBaseFileName = "c:/temp/output";
String[] args = {baseFileName + threadID + ".log", writeBaseFileName + threadID + ".txt"};
readAndWriteFileInputOutputStream(args);
}
}
public static void main(String[] args) {
int MAX_THREADS = 20;
int coreThreadPoolSize = 2;
int maxThreadPoolSize = 4;
long threadKeepAliveTime = 12000000;
int arrayBlockQueueSize = 400;
ThreadPoolExecutor executor = new ThreadPoolExecutor(
coreThreadPoolSize,
maxThreadPoolSize,
threadKeepAliveTime,
TimeUnit.MILLISECONDS,
new ArrayBlockingQueue<Runnable>(arrayBlockQueueSize, true));
for (int i = 0; i < MAX_THREADS; i++) {
FileReaderRunnable frr = new FileReaderRunnable(i+1);
executor.execute(frr);
}
executor.shutdown();
while (!executor.isTerminated()) {
try {
Thread.sleep(5000);
print("********** executor.getPoolSize()=" + executor.getPoolSize());
print("********** executor.getCorePoolSize()=" + executor.getCorePoolSize());
print("********** executor.getActiveCount()=" + executor.getActiveCount());
print("********** executor.getCompletedTaskCount()=" + executor.getCompletedTaskCount());
print("********** executor.getTaskCount()=" + executor.getTaskCount());
print("********** executor.isShutdown()=" + executor.isShutdown());
print("********** executor.isTerminated()=" + executor.isTerminated());
} catch (InterruptedException e) {
e.printStackTrace();
}
}
}
public static void readAndWriteFileInputOutputStream(String[] args) {
try {
String routineName = Thread.currentThread().getName();
String fInp = "c:\\temp\\input.txt";
String fOut = "c:\\temp\\output.txt";
if( args.length > 0 ) {
fInp = args[0];
}
if( args.length > 1 ) {
fOut = args[1];
}
FileInputStream fis = null;
FileOutputStream fos = null;
// delete the file if it exists
File fff = new File( fOut );
if( fff.exists() ) {
fff.delete();
}
fff = null;
fos = new FileOutputStream(fOut);
fis = new FileInputStream( fInp );
long readTime = 0;
long writeTime = 0;
final int FILE_CHUNK_SIZE = 16 * 1024;
byte[] buffer = new byte[ FILE_CHUNK_SIZE ];
long sTOverall = System.nanoTime();
final long fileLen = fis.available();
for ( long restSize = fileLen; restSize > 0; ) {
final int sizeToProcess = (int) java.lang.Math.min( restSize, FILE_CHUNK_SIZE );
long sT = System.nanoTime();
final int actuallyRead = fis.read( buffer, 0, sizeToProcess );
readTime += System.nanoTime() - sT;
restSize -= actuallyRead;
long sT0 = System.nanoTime();
fos.write(buffer);
writeTime += System.nanoTime() - sT0;
}
sTOverall = System.nanoTime() - sTOverall;
fff = new File(fOut);
double size = ((double)fff.length()) / (1024 * 1024);
double secTaken = ((double)writeTime) / 1000000000;
print(routineName + ": Took: " + secTaken + " sec to write " + size + " MB which is " + (size/secTaken) + " MB/sec");
fos.close();
File fff2 = new File(fInp);
size = ((double)fff2.length()) / (1024 * 1024);
secTaken = ((double)readTime) / 1000000000;
print(routineName + ": Took: " + secTaken + " sec to read " + size + " MB which is " + (size/secTaken) + " MB/sec");
fis.close();
print(routineName + ": Took " + sTOverall + " nanosec overall");
} catch (IOException e) {
e.printStackTrace();
}
}
public static void print(String string) {
System.out.println(string);
}
}
我得到的结果如下：
Thread-1: Took: 0.171561487 sec to write 100.015625 MB which is 582.9724768006936 MB/sec
Thread-2: Took: 0.174120658 sec to write 100.015625 MB which is 574.4041295777781 MB/sec
Thread-1: Took: 0.095193221 sec to read 100.00039100646973 MB which is 1050.4990791988196 MB/sec
Thread-1: Took 273077435 nanosec overall
Thread-2: Took: 0.095017056 sec to read 100.00039100646973 MB which is 1052.4467418404304 MB/sec
Thread-2: Took 273701058 nanosec overall
Thread-4: Took: 0.14674968 sec to write 100.015625 MB which is 681.538964854983 MB/sec
Thread-4: Took: 0.089255036 sec to read 100.00039100646973 MB which is 1120.3893414649424 MB/sec
Thread-4: Took 238318510 nanosec overall
Thread-3: Took: 0.151534826 sec to write 100.015625 MB which is 660.0174206818965 MB/sec
Thread-3: Took: 0.093351422 sec to read 100.00039100646973 MB which is 1071.2251496979845 MB/sec
Thread-3: Took 246756663 nanosec overall
Thread-5: Took: 0.149539881 sec to write 100.015625 MB which is 668.8224193517981 MB/sec
Thread-5: Took: 0.089968802 sec to read 100.00039100646973 MB which is 1111.5007511878364 MB/sec
Thread-5: Took 239927158 nanosec overall
Thread-6: Took: 0.153380444 sec to write 100.015625 MB which is 652.0754692821205 MB/sec
Thread-6: Took: 0.087988256 sec to read 100.00039100646973 MB which is 1136.519753346057 MB/sec
Thread-6: Took 241764966 nanosec overall
Thread-7: Took: 0.142689584 sec to write 100.015625 MB which is 700.9315059745355 MB/sec
Thread-7: Took: 0.088074798 sec to read 100.00039100646973 MB which is 1135.4030128626548 MB/sec
Thread-7: Took 231188741 nanosec overall
Thread-8: Took: 0.140693664 sec to write 100.015625 MB which is 710.8751180152648 MB/sec
Thread-8: Took: 0.085812695 sec to read 100.00039100646973 MB which is 1165.333299536505 MB/sec
Thread-8: Took 226884069 nanosec overall
Thread-9: Took: 0.105057511 sec to write 100.015625 MB which is 952.0083242786895 MB/sec
Thread-9: Took: 0.076369586 sec to read 100.00039100646973 MB which is 1309.4269099019305 MB/sec
Thread-9: Took 181834692 nanosec overall
Thread-10: Took: 0.113160569 sec to write 100.015625 MB which is 883.8381238609713 MB/sec
Thread-10: Took: 0.083640607 sec to read 100.00039100646973 MB which is 1195.5961893780818 MB/sec
Thread-10: Took 197200174 nanosec overall
********** executor.getPoolSize()=2
********** executor.getCorePoolSize()=2
********** executor.getActiveCount()=2
********** executor.getCompletedTaskCount()=10
********** executor.getTaskCount()=20
********** executor.isShutdown()=true
********** executor.isTerminated()=false
Thread-11: Took: 0.154032991 sec to write 100.015625 MB which is 649.3130098343672 MB/sec
Thread-11: Took: 8.420174029 sec to read 100.00039100646973 MB which is 11.876285533061127 MB/sec
Thread-11: Took 8574829737 nanosec overall
********** executor.getPoolSize()=2
********** executor.getCorePoolSize()=2
********** executor.getActiveCount()=2
********** executor.getCompletedTaskCount()=11
********** executor.getTaskCount()=20
********** executor.isShutdown()=true
********** executor.isTerminated()=false
Thread-12: Took: 0.140394781 sec to write 100.015625 MB which is 712.3884825889646 MB/sec
Thread-12: Took: 8.505642503 sec to read 100.00039100646973 MB which is 11.756947340685771 MB/sec
Thread-12: Took 8646511924 nanosec overall
Thread-13: Took: 0.143740254 sec to write 100.015625 MB which is 695.8080441405091 MB/sec
Thread-13: Took: 4.546878135 sec to read 100.00039100646973 MB which is 21.993197978346462 MB/sec
Thread-13: Took 4691105248 nanosec overall
********** executor.getPoolSize()=2
********** executor.getCorePoolSize()=2
********** executor.getActiveCount()=2
********** executor.getCompletedTaskCount()=13
********** executor.getTaskCount()=20
********** executor.isShutdown()=true
********** executor.isTerminated()=false
Thread-14: Took: 0.143977148 sec to write 100.015625 MB which is 694.6631905779936 MB/sec
Thread-14: Took: 5.020245761 sec to read 100.00039100646973 MB which is 19.91942143217911 MB/sec
Thread-14: Took 5164713374 nanosec overall
Thread-15: Took: 0.155099121 sec to write 100.015625 MB which is 644.8497216177002 MB/sec
Thread-15: Took: 3.628340768 sec to read 100.00039100646973 MB which is 27.560914864562612 MB/sec
Thread-15: Took 3783981095 nanosec overall
Thread-16: Took: 0.147386899 sec to write 100.015625 MB which is 678.5923693258518 MB/sec
Thread-16: Took: 3.865473212 sec to read 100.00039100646973 MB which is 25.870154964734425 MB/sec
Thread-16: Took 4013349692 nanosec overall
********** executor.getPoolSize()=2
********** executor.getCorePoolSize()=2
********** executor.getActiveCount()=2
********** executor.getCompletedTaskCount()=16
********** executor.getTaskCount()=20
********** executor.isShutdown()=true
********** executor.isTerminated()=false
Thread-17: Took: 0.145950813 sec to write 100.015625 MB which is 685.2693927782368 MB/sec
Thread-17: Took: 3.594029782 sec to read 100.00039100646973 MB which is 27.824029591324553 MB/sec
Thread-17: Took 3740485565 nanosec overall
Thread-18: Took: 0.143193164 sec to write 100.015625 MB which is 698.4664784696006 MB/sec
Thread-18: Took: 4.387502482 sec to read 100.00039100646973 MB which is 22.792099016861528 MB/sec
Thread-18: Took 4531185662 nanosec overall
********** executor.getPoolSize()=2
********** executor.getCorePoolSize()=2
********** executor.getActiveCount()=2
********** executor.getCompletedTaskCount()=18
********** executor.getTaskCount()=20
********** executor.isShutdown()=true
********** executor.isTerminated()=false
Thread-19: Took: 0.14751012 sec to write 100.015625 MB which is 678.0255144528389 MB/sec
Thread-19: Took: 5.882018447 sec to read 100.00039100646973 MB which is 17.001033218022773 MB/sec
Thread-19: Took 6030072471 nanosec overall
Thread-20: Took: 0.13555387 sec to write 100.015625 MB which is 737.8293589109629 MB/sec
Thread-20: Took: 4.122019495 sec to read 100.00039100646973 MB which is 24.260048048722226 MB/sec
Thread-20: Took 4258033501 nanosec overall
********** executor.getPoolSize()=0
********** executor.getCorePoolSize()=2
********** executor.getActiveCount()=0
********** executor.getCompletedTaskCount()=20
********** executor.getTaskCount()=20
********** executor.isShutdown()=true
********** executor.isTerminated()=true
答案 0 :(得分：1)
您的所有跑步的写作时间都是一致的。您的阅读时间非常快（> 1 GB / s），但最终还是最低点。我怀疑发生了什么是你已超出系统的磁盘缓存容量。对于前10个线程，您编写的数据卡在系统的磁盘缓存中，因此读取速度非常快。在第10个线程之后，您已经编写了足够的数据，系统开始丢弃缓存的数据，并且实际上必须转到磁盘来读取数据。应该保留MRU块，但可能不是。你没有指定什么操作系统，所以甚至不可能推测发生了什么。
这是一个警示性的故事，微型基准充满了危险。现代操作系统背后有许多优化，例如JIT编译，磁盘缓存（在操作系统，磁盘控制器和磁盘本身）等，在基准测试时必须考虑这些因素，尤其是基本Java代码执行速度和I / O等操作。
我怀疑FileReadTestJavaGui没有写足够的数据来解决同样的问题。
最重要的是，您无法获得一致的结果，甚至无法确切地了解您正在衡量的，而无需深入了解所有之间发生的事情你的代码和“裸机”。
答案 1 :(得分：0)
我怀疑你没有使用直接I / O来避免在RAM中缓存数据（在Java中是否可能？）。如果您使用的是Linux，则可能需要运行vmstat以查看正在发生的情况或运行Windows，如果是Windows。我目前正在为Raspberry Pi编写基准和压力程序。以下是磁盘（SD卡）测试的vmstat结果，首先是直接I / O，其中文件缓存保持较小且CPU利用率较低。第二个是缓存I / O，其中缓存可以包含所有使用的文件，读取数据来自RAM，CPU利用率为100％。 RPi只有512 MB相对较慢的RAM。使用4 x 164 MB文件的进一步测试不会将它们缓存用于读取，但是当操作系统意识到正在重读文件时，重复运行可能会有一些缓存。无论文件大小如何，缓存速度都会有很大差异。
vmstat 15 25 > vmstats44.txt
15 second periods, 25 samples
Write 4 files of 82 MB in 46 seconds = 7.1 MB/sec bo
Read 3 x 4 x 82 MB in 62 second = 15.8 MB/sec bi
Reread 49200 x 64 KB in 167 seconds = 18.4 MB/sec bi
Rereads 64 KB block for 1 second from
164 blocks in one file
procs -----------memory---------- ---swap-- -----io---- -system-- ----cpu----
r b swpd free buff cache si so bi bo in cs us sy id wa
1 0 0 349476 2772 33484 0 0 51 439 1264 229 15 30 53 2
0 1 0 347428 2796 33532 0 0 2 6996 3793 914 17 42 0 41
1 1 0 347172 2904 33592 0 0 6 6851 3736 849 11 41 0 48
1 1 0 347172 2932 33616 0 0 1 7536 3996 931 11 46 0 43
2 0 0 347048 2948 33616 0 0 13965 1053 6187 1264 14 18 0 68
0 1 0 347048 2964 33616 0 0 16188 3 6524 1314 13 14 0 73
1 0 0 347048 2972 33616 0 0 16427 3 6605 1333 12 14 0 74
0 1 0 347048 2980 33616 0 0 16439 2 6607 1335 13 14 0 73
2 0 0 347048 2996 33616 0 0 18253 3 7198 1471 7 9 0 84
1 1 0 347048 3020 33616 0 0 18842 5 7393 1510 4 10 0 87
0 1 0 346924 3044 33616 0 0 18833 6 7389 1512 2 10 0 88
0 1 0 346924 3068 33616 0 0 18842 5 7393 1504 4 10 0 87
1 0 0 346924 3092 33616 0 0 18859 6 7398 1509 3 8 0 89
0 1 0 346924 3116 33616 0 0 18854 5 7390 1509 3 9 0 88
0 1 0 346800 3140 33616 0 0 18859 5 7395 1508 4 9 0 87
1 1 0 346800 3164 33616 0 0 18820 6 7385 1501 3 10 0 87
1 1 0 346800 3188 33616 0 0 18842 5 7391 1506 3 8 0 89
1 1 0 346800 3212 33616 0 0 18829 5 7386 1507 3 9 0 88
0 1 0 346676 3236 33616 0 0 18816 6 7384 1495 4 9 0 88
0 0 0 346800 3252 33552 0 0 7428 7 3632 640 4 4 59 32
Cached test - see cache size details
Write 4 x 82 MB time 2.3, 9.1, 12.3, 2.4 seconds average 12.6 MB/sec bo
Read 19 x 4 x 82 MB in 63 seconds = 99 MB/sec cpu us sy
Reread 1158120 x 64 KB in 164 seconds = 441 MB/sec cpu us sy
procs -----------memory---------- ---swap-- -----io---- -system-- ----cpu----
r b swpd free buff cache si so bi bo in cs us sy id wa
2 0 0 355484 3692 29308 0 0 60 345 1260 204 14 26 58 2
0 3 0 124856 3976 254388 0 0 27 13562 1661 1889 16 34 0 50
1 1 0 11476 4000 365356 0 0 0 8850 1413 2556 10 23 0 67
1 0 0 11476 4012 365420 0 0 0 2 1750 1118 48 52 0 0
1 0 0 11344 4020 365420 0 0 0 2 1270 122 50 50 0 0
1 0 0 11352 4028 365420 0 0 0 4 1271 61 46 54 0 0
1 1 0 11600 3616 365572 0 0 57 2 1292 77 44 56 0 0
1 0 0 12320 1940 366340 0 0 254 6 1376 111 14 86 0 0
1 0 0 11476 1964 367540 0 0 80 4 1304 91 14 86 0 0
1 0 0 11352 1988 367540 0 0 0 5 1277 82 12 88 0 0
1 0 0 11352 2012 367540 0 0 0 5 1275 79 13 87 0 0
1 0 0 11228 2036 367540 0 0 0 5 1276 85 14 86 0 0
2 0 0 11228 2060 367540 0 0 0 4 1276 80 13 87 0 0
2 0 0 11228 2084 367540 0 0 0 5 1276 77 13 87 0 0
1 0 0 11228 2108 367540 0 0 0 4 1276 83 13 87 0 0
1 0 0 11104 2132 367540 0 0 0 4 1276 78 12 88 0 0
1 0 0 10980 2300 367552 0 0 9 9 1282 80 11 89 0 0
0 0 0 352104 2324 31696 0 0 1 5 1273 90 12 81 7 0