SynchronousQueue、LinkedBlockingQueue、ArrayBlockingQueue性能测试
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线程多(>20),Queue长度长(>30),使用LinkedBlockingQueue
线程少 (<20) ,Queue长度短 (<30) , 使用SynchronousQueue
少用ArrayBlcokingQueue,似乎没找到它的好处,高手给给建议吧!
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import
java.util.concurrent.ArrayBlockingQueue;
import
java.util.concurrent.BlockingQueue;
import
java.util.concurrent.Callable;
import
java.util.concurrent.CompletionService;
import
java.util.concurrent.ExecutorCompletionService;
import
java.util.concurrent.ExecutorService;
import
java.util.concurrent.Executors;
import
java.util.concurrent.LinkedBlockingQueue;
import
java.util.concurrent.SynchronousQueue;
public
class
TestSynchronousQueue {
private
static
int
THREAD_NUM;
private
static
int
N =
1000000
;
private
static
ExecutorService executor;
public
static
void
main(String[] args)
throws
Exception {
System.out.println(
"Producer\tConsumer\tcapacity \t LinkedBlockingQueue \t ArrayBlockingQueue \t SynchronousQueue"
);
for
(
int
j =
0
; j<
10
; j++){
THREAD_NUM = (
int
) Math.pow(
2
, j);
executor = Executors.newFixedThreadPool(THREAD_NUM *
2
);
for
(
int
i =
0
; i <
10
; i++) {
int
length = (i ==
0
) ?
1
: i *
10
;
System.out.print(THREAD_NUM +
"\t\t"
);
System.out.print(THREAD_NUM +
"\t\t"
);
System.out.print(length +
"\t\t"
);
System.out.print(doTest2(
new
LinkedBlockingQueue<Integer>(length), N) +
"/s\t\t\t"
);
System.out.print(doTest2(
new
ArrayBlockingQueue<Integer>(length), N) +
"/s\t\t\t"
);
System.out.print(doTest2(
new
SynchronousQueue<Integer>(), N) +
"/s"
);
System.out.println();
}
executor.shutdown();
}
}
private
static
class
Producer
implements
Runnable{
int
n;
BlockingQueue<Integer> q;
public
Producer(
int
initN, BlockingQueue<Integer> initQ){
n = initN;
q = initQ;
}
public
void
run() {
for
(
int
i =
0
; i < n; i++)
try
{
q.put(i);
}
catch
(InterruptedException ex) {
}
}
}
private
static
class
Consumer
implements
Callable<Long>{
int
n;
BlockingQueue<Integer> q;
public
Consumer(
int
initN, BlockingQueue<Integer> initQ){
n = initN;
q = initQ;
}
public
Long call() {
long
sum =
0
;
for
(
int
i =
0
; i < n; i++)
try
{
sum += q.take();
}
catch
(InterruptedException ex) {
}
return
sum;
}
}
private
static
long
doTest2(
final
BlockingQueue<Integer> q,
final
int
n)
throws
Exception {
CompletionService<Long> completionServ =
new
ExecutorCompletionService<Long>(executor);
long
t = System.nanoTime();
for
(
int
i=
0
; i<THREAD_NUM; i++){
executor.submit(
new
Producer(n/THREAD_NUM, q));
}
for
(
int
i=
0
; i<THREAD_NUM; i++){
completionServ.submit(
new
Consumer(n/THREAD_NUM, q));
}
for
(
int
i=
0
; i<THREAD_NUM; i++){
completionServ.take().get();
}
t = System.nanoTime() - t;
return
(
long
) (
1000000000.0
* N / t);
// Throughput, items/sec
}
}
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Producer Consumer capacity LinkedBlockingQueue ArrayBlockingQueue SynchronousQueue
1
1
1
154567
/s
154100
/s
3655071
/s
1
1
10
1833165
/s
1967491
/s
3622405
/s
1
1
20
3011779
/s
2558451
/s
3744037
/s
1
1
30
3145926
/s
2632099
/s
3354525
/s
1
1
40
3289673
/s
2879696
/s
3581858
/s
1
1
50
3201828
/s
3008838
/s
3600100
/s
1
1
60
3171374
/s
2541672
/s
3922617
/s
1
1
70
3159786
/s
2844493
/s
3423066
/s
1
1
80
3042835
/s
2536290
/s
3443517
/s
1
1
90
3025808
/s
3026241
/s
3307096
/s
2
2
1
141555
/s
135653
/s
2897927
/s
2
2
10
1627066
/s
785082
/s
2908671
/s
2
2
20
2199668
/s
1604847
/s
2937085
/s
2
2
30
2309495
/s
2115986
/s
2922671
/s
2
2
40
2335737
/s
2424491
/s
2942621
/s
2
2
50
2394045
/s
2405210
/s
2918222
/s
2
2
60
2499445
/s
2471052
/s
2881591
/s
2
2
70
2368143
/s
2454153
/s
2914038
/s
2
2
80
2381024
/s
2457910
/s
2937337
/s
2
2
90
2509167
/s
2461035
/s
2789278
/s
4
4
1
138177
/s
138101
/s
2736238
/s
4
4
10
1654165
/s
478171
/s
2693045
/s
4
4
20
2443373
/s
779452
/s
2728493
/s
4
4
30
2646300
/s
1169313
/s
2787315
/s
4
4
40
2755774
/s
1487883
/s
2874789
/s
4
4
50
2774736
/s
1579152
/s
2804046
/s
4
4
60
2804725
/s
1998602
/s
2803680
/s
4
4
70
2797524
/s
2388276
/s
2936613
/s
4
4
80
2887786
/s
2557358
/s
2899823
/s
4
4
90
2878895
/s
2539458
/s
2839990
/s
8
8
1
140745
/s
135621
/s
2711703
/s
8
8
10
1650143
/s
526018
/s
2730710
/s
8
8
20
2477902
/s
798799
/s
2696374
/s
8
8
30
2658511
/s
983456
/s
2783054
/s
8
8
40
2694167
/s
1185732
/s
2677500
/s
8
8
50
2758267
/s
1110716
/s
2766695
/s
8
8
60
2831922
/s
1003692
/s
2762232
/s
8
8
70
2763751
/s
1409142
/s
2791901
/s
8
8
80
2771897
/s
1654843
/s
2838479
/s
8
8
90
2740467
/s
1718642
/s
2806164
/s
16
16
1
131843
/s
137943
/s
2694036
/s
16
16
10
1637213
/s
491171
/s
2725893
/s
16
16
20
2523193
/s
660559
/s
2709892
/s
16
16
30
2601176
/s
899163
/s
2689270
/s
16
16
40
2794088
/s
1054763
/s
2759321
/s
16
16
50
2777807
/s
1111479
/s
2663346
/s
16
16
60
2893566
/s
931713
/s
2778294
/s
16
16
70
2822779
/s
1286067
/s
2704785
/s
16
16
80
2828238
/s
1430581
/s
2724927
/s
16
16
90
2860943
/s
1249650
/s
2791520
/s
32
32
1
132098
/s
130805
/s
2676121
/s
32
32
10
1586372
/s
402270
/s
2674953
/s
32
32
20
2467754
/s
886059
/s
2580989
/s
32
32
30
2569709
/s
772173
/s
2599466
/s
32
32
40
2659883
/s
963633
/s
2677042
/s
32
32
50
2721213
/s
910607
/s
2677578
/s
32
32
60
2779272
/s
861786
/s
2676874
/s
32
32
70
2757921
/s
1111937
/s
2696416
/s
32
32
80
2915294
/s
1323776
/s
2655641
/s
32
32
90
2798313
/s
1193225
/s
2630231
/s
64
64
1
126035
/s
123764
/s
2526632
/s
64
64
10
1539034
/s
394597
/s
2582590
/s
64
64
20
2449850
/s
703790
/s
2598631
/s
64
64
30
2672792
/s
758256
/s
2529693
/s
64
64
40
2797081
/s
661028
/s
2573380
/s
64
64
50
2789848
/s
1162143
/s
2659469
/s
64
64
60
2726806
/s
1145495
/s
2567020
/s
64
64
70
2731554
/s
1359939
/s
2607615
/s
64
64
80
2871116
/s
1305428
/s
2494839
/s
64
64
90
2774416
/s
1339611
/s
2560153
/s
128
128
1
223305
/s
112828
/s
2390234
/s
128
128
10
1419592
/s
404611
/s
2401086
/s
128
128
20
2365301
/s
793815
/s
2516045
/s
128
128
30
2647136
/s
915702
/s
2463175
/s
128
128
40
2721664
/s
1081728
/s
2400299
/s
128
128
50
2688304
/s
1149251
/s
2489667
/s
128
128
60
2774212
/s
1145298
/s
2453444
/s
128
128
70
2782905
/s
1165408
/s
2403510
/s
128
128
80
2818388
/s
1392486
/s
2389275
/s
128
128
90
2738468
/s
1546247
/s
2425994
/s
256
256
1
160146
/s
80530
/s
2369297
/s
256
256
10
1214041
/s
364460
/s
2142039
/s
256
256
20
1915432
/s
901668
/s
2156774
/s
256
256
30
2371862
/s
1124997
/s
2237464
/s
256
256
40
2630812
/s
1123016
/s
2216475
/s
256
256
50
2666827
/s
1239640
/s
2267322
/s
256
256
60
2635269
/s
1276851
/s
2318122
/s
256
256
70
2663477
/s
1333002
/s
2188256
/s
256
256
80
2672080
/s
1659850
/s
2315438
/s
256
256
90
2804828
/s
1497635
/s
2194905
/s
512
512
1
123294
/s
68426
/s
1892168
/s
512
512
10
1028250
/s
296454
/s
1728199
/s
512
512
20
1545215
/s
604512
/s
1963526
/s
512
512
30
1968728
/s
762240
/s
2000386
/s
512
512
40
2273678
/s
854483
/s
1948188
/s
512
512
50
2295335
/s
939350
/s
1858429
/s
512
512
60
2419257
/s
1056918
/s
1884224
/s
512
512
70
2346088
/s
980795
/s
1852387
/s
512
512
80
2341964
/s
928496
/s
1867498
/s
512
512
90
2375789
/s
1290064
/s
1923461
/s
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