Performance issue: Tuning Reading/Writing to a Socket.
I have use case where reading/writing to a Socket is spending over 25% of the time in NativeThread.current() (Called from within SocketChannelImpl) This is a native call and it occurred to me that there might be a Java JNI option which could improve this call in particular.
This may be hprof giving incorrect information, but I don't know how to provide this. YourKit also shows this method as a big hit.
I am not so worried about read0 and write0 as this is directly related to what the use case does.
Can anyone suggest tuning options which might improve the performance of this call?
Does anyone know a way to determine if the information regarding this call is accurate?
TRACE 300250:
sun.nio.ch.FileDispatcher.read0(FileDispatcher.java:Unknown line)
sun.nio.ch.SocketDispatcher.read(SocketDispatcher.java:21)
sun.nio.ch.IOUtil.readIntoNativeBuffer(IOUtil.java:233)
sun.nio.ch.IOUtil.read(IOUtil.java:200)
sun.nio.ch.SocketChannelImpl.read(SocketChannelImpl.java:236)
my.AbstractSocket.readMessage(AbstractSocket.java:69)
TRACE 300225:
sun.nio.ch.FileDispatcher.write0(FileDispatcher.java:Unknown line)
sun.nio.ch.SocketDispatcher.write(SocketDispatcher.java:29)
sun.nio.ch.IOUtil.writeFromNativeBuffer(IOUtil.java:104)
sun.nio.ch.IOUtil.write(IOUtil.java:60)
sun.nio.ch.SocketChannelImpl.write(SocketChannelImpl.java:334)
my.AbstractSocket.flush(AbstractSocket.java:47)
my.AbstractSocket.sendMesg(AbstractSocket.java:37)
TRACE 300259:
sun.nio.ch.NativeThread.current(NativeThread.java:Unknown line)
sun.nio.ch.SocketChannelImpl.write(SocketChannelImpl.java:331)
my.AbstractSocket.flush(AbstractSocket.java:47)
my.AbstractSocket.sendMesg(AbstractSocket.java:37)
TRACE 300229:
java.nio.Bits.copyToByteArray(Bits.java:Unknown line)
java.nio.DirectByteBuffer.get(DirectByteBuffer.java:224)
my.FieldFormat.readString(BoltFieldFormat.java:56)
TRACE 300265:
sun.nio.ch.NativeThread.current(NativeThread.java:Unknown line)
sun.nio.ch.SocketChannelImpl.read(SocketChannelImpl.java:182)
my.AbstractSocket.readMessage(AbstractSocket.java:69)
CPU SAMPLES BEGIN (total = 11263) Tue Jul 14 16:29:15 2009
rank self accum count trace method
1 32.50% 32.50% 3660 300250 sun.nio.ch.FileDispatcher.read0
2 30.68% 63.18% 3456 300225 sun.nio.ch.FileDispatcher.write0
3 21.84% 85.02% 2460 300259 sun.nio.ch.NativeThread.current
4 6.82% 91.84% 768 300229 java.nio.Bits.copyToByteArray
5 5.69% 97.53% 641 300265 sun.nio.ch.NativeThread.current
I would ignore it. All it does is:
'Returns an opaque token representing the native thread underlying the invoking Java thread. On systems that do not require signalling, this method always returns -1.'I think the significant thing is that it is called while synchronized on 'stateLock', so if you have > 1 thread executing writes, the entire sync block will tend to be a bottleneck. I would aggregate the data for current() and read0(), or current() and write0(), and treat it all as I/O time.
Similar Messages
-
Performance issue showing read by other session Event
Hi All,
we are having a severe performance issue in my database when we are running batch jobs.
This was a new database(11.2.0.2) and we are testing the performance by running some batch jobs. These batch jobs included some inserts and updates.
I am seeing read by other session in top 5 timed events and cache buffers chains in Latch Miss Sources section.
Please help me to solve this out.
Inst Num Startup Time Release RAC
1 27-Feb-12 09:03 11.2.0.2.0 NO
Platform CPUs Cores Sockets Memory(GB)
Linux x86 64-bit 8 8 8 48.00
Snap Id Snap Time Sessions Curs/Sess
Begin Snap: 5605 29-Feb-12 03:00:27 63 4.5
End Snap: 5614 29-Feb-12 12:00:47 63 4.3
Elapsed: 540.32 (mins)
DB Time: 1,774.23 (mins)
Cache Sizes Begin End
~~~~~~~~~~~ ---------- ----------
Buffer Cache: 1,952M 1,952M Std Block Size: 16K
Shared Pool Size: 1,024M 1,024M Log Buffer: 18,868K
Load Profile Per Second Per Transaction Per Exec Per Call
~~~~~~~~~~~~ --------------- --------------- ---------- ----------
DB Time(s): 3.3 0.8 0.02 0.05
DB CPU(s): 1.1 0.3 0.01 0.02
Redo size: 55,763.8 13,849.3
Logical reads: 23,906.6 5,937.4
Block changes: 325.7 80.9
Physical reads: 665.6 165.3
Physical writes: 40.4 10.0
User calls: 60.7 15.1
Parses: 10.6 2.6
Hard parses: 1.1 0.3
W/A MB processed: 0.6 0.2
Logons: 0.1 0.0
Executes: 151.2 37.6
Rollbacks: 0.0 0.0
Transactions: 4.0
Instance Efficiency Percentages (Target 100%)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Buffer Nowait %: 99.94 Redo NoWait %: 100.00
Buffer Hit %: 97.90 In-memory Sort %: 100.00
Library Hit %: 98.06 Soft Parse %: 90.16
Execute to Parse %: 92.96 Latch Hit %: 100.00
Parse CPU to Parse Elapsd %: 76.71 % Non-Parse CPU: 98.57
Shared Pool Statistics Begin End
Memory Usage %: 89.38 87.96
% SQL with executions>1: 97.14 95.15
% Memory for SQL w/exec>1: 96.05 92.46
Top 5 Timed Foreground Events
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Avg
wait % DB
Event Waits Time(s) (ms) time Wait Class
db file sequential read 14,092,706 65,613 5 61.6 User I/O
DB CPU 34,819 32.7
read by other session 308,534 1,260 4 1.2 User I/O
direct path read 97,454 987 10 .9 User I/O
db file scattered read 71,870 910 13 .9 User I/O
Host CPU (CPUs: 8 Cores: 8 Sockets: 8)
~~~~~~~~ Load Average
Begin End %User %System %WIO %Idle
0.43 0.36 13.7 0.6 9.7 85.7
Instance CPU
~~~~~~~~~~~~
% of total CPU for Instance: 13.5
% of busy CPU for Instance: 94.2
%DB time waiting for CPU - Resource Mgr: 0.0
Memory Statistics
~~~~~~~~~~~~~~~~~ Begin End
Host Mem (MB): 49,152.0 49,152.0
SGA use (MB): 3,072.0 3,072.0
PGA use (MB): 506.5 629.1
% Host Mem used for SGA+PGA: 7.28 7.53
Time Model Statistics
-> Total time in database user-calls (DB Time): 106453.8s
-> Statistics including the word "background" measure background process
time, and so do not contribute to the DB time statistic
-> Ordered by % or DB time desc, Statistic name
Statistic Name Time (s) % of DB Time
sql execute elapsed time 105,531.1 99.1
DB CPU 34,818.8 32.7
parse time elapsed 714.7 .7
hard parse elapsed time 684.8 .6
PL/SQL execution elapsed time 161.9 .2
PL/SQL compilation elapsed time 44.2 .0
connection management call elapsed time 16.9 .0
hard parse (sharing criteria) elapsed time 10.2 .0
hard parse (bind mismatch) elapsed time 9.4 .0
sequence load elapsed time 2.9 .0
repeated bind elapsed time 0.5 .0
failed parse elapsed time 0.0 .0
DB time 106,453.8
background elapsed time 1,753.9
background cpu time 61.7
Operating System Statistics
-> *TIME statistic values are diffed.
All others display actual values. End Value is displayed if different
-> ordered by statistic type (CPU Use, Virtual Memory, Hardware Config), Name
Statistic Value End Value
BUSY_TIME 3,704,415
IDLE_TIME 22,203,740
IOWAIT_TIME 2,517,864
NICE_TIME 3
SYS_TIME 145,696
USER_TIME 3,557,758
LOAD 0 0
RSRC_MGR_CPU_WAIT_TIME 0
VM_IN_BYTES 358,813,045,760
VM_OUT_BYTES 29,514,830,848
PHYSICAL_MEMORY_BYTES 51,539,607,552
NUM_CPUS 8
NUM_CPU_CORES 8
NUM_CPU_SOCKETS 8
GLOBAL_RECEIVE_SIZE_MAX 4,194,304
GLOBAL_SEND_SIZE_MAX 1,048,586
TCP_RECEIVE_SIZE_DEFAULT 87,380
TCP_RECEIVE_SIZE_MAX 4,194,304
TCP_RECEIVE_SIZE_MIN 4,096
TCP_SEND_SIZE_DEFAULT 16,384
TCP_SEND_SIZE_MAX 4,194,304
TCP_SEND_SIZE_MIN 4,096
Operating System Statistics -
Snap Time Load %busy %user %sys %idle %iowait
29-Feb 03:00:27 0.4 N/A N/A N/A N/A N/A
29-Feb 04:00:35 1.4 11.9 11.2 0.6 88.1 14.3
29-Feb 05:00:41 1.7 13.8 13.2 0.6 86.2 15.8
29-Feb 06:00:48 1.5 14.0 13.5 0.6 86.0 12.3
29-Feb 07:01:00 1.8 16.3 15.8 0.5 83.7 10.4
29-Feb 08:00:12 2.6 23.2 22.5 0.6 76.8 12.6
29-Feb 09:00:26 1.3 16.6 16.0 0.5 83.4 5.7
29-Feb 10:00:33 1.2 13.8 13.3 0.5 86.2 2.0
29-Feb 11:00:43 1.3 14.5 14.0 0.5 85.5 3.8
29-Feb 12:00:47 0.4 4.9 4.2 0.7 95.1 10.6
Foreground Wait Class
-> s - second, ms - millisecond - 1000th of a second
-> ordered by wait time desc, waits desc
-> %Timeouts: value of 0 indicates value was < .5%. Value of null is truly 0
-> Captured Time accounts for 97.9% of Total DB time 106,453.79 (s)
-> Total FG Wait Time: 69,415.64 (s) DB CPU time: 34,818.79 (s)
Avg
%Time Total Wait wait
Wait Class Waits -outs Time (s) (ms) %DB time
User I/O 14,693,843 0 69,222 5 65.0
DB CPU 34,819 32.7
Commit 40,629 0 119 3 0.1
System I/O 26,504 0 57 2 0.1
Network 1,945,010 0 11 0 0.0
Other 125,200 99 4 0 0.0
Application 2,673 0 2 1 0.0
Concurrency 3,059 0 1 0 0.0
Configuration 31 19 0 15 0.0
Foreground Wait Events
-> s - second, ms - millisecond - 1000th of a second
-> Only events with Total Wait Time (s) >= .001 are shown
-> ordered by wait time desc, waits desc (idle events last)
-> %Timeouts: value of 0 indicates value was < .5%. Value of null is truly 0
Avg
%Time Total Wait wait Waits % DB
Event Waits -outs Time (s) (ms) /txn time
db file sequential read 14,092,706 0 65,613 5 108.0 61.6
read by other session 308,534 0 1,260 4 2.4 1.2
direct path read 97,454 0 987 10 0.7 .9
db file scattered read 71,870 0 910 13 0.6 .9
db file parallel read 35,001 0 372 11 0.3 .3
log file sync 40,629 0 119 3 0.3 .1
control file sequential re 26,504 0 57 2 0.2 .1
direct path read temp 14,499 0 49 3 0.1 .0
direct path write temp 9,186 0 28 3 0.1 .0
SQL*Net message to client 1,923,973 0 5 0 14.7 .0
SQL*Net message from dblin 1,056 0 5 5 0.0 .0
Disk file operations I/O 8,848 0 2 0 0.1 .0
ASM file metadata operatio 36 0 2 54 0.0 .0
SQL*Net break/reset to cli 2,636 0 1 1 0.0 .0
ADR block file read 472 0 1 1 0.0 .0
os thread startup 8 0 1 74 0.0 .0
SQL*Net more data to clien 17,656 0 1 0 0.1 .0
asynch descriptor resize 123,852 100 0 0 0.9 .0
local write wait 110 0 0 4 0.0 .0
utl_file I/O 55,635 0 0 0 0.4 .0
log file switch (private s 8 0 0 52 0.0 .0
cursor: pin S wait on X 2 0 0 142 0.0 .0
enq: KO - fast object chec 13 0 0 20 0.0 .0
PX Deq: Slave Session Stat 248 0 0 1 0.0 .0
enq: RO - fast object reus 18 0 0 11 0.0 .0
latch: cache buffers chain 2,511 0 0 0 0.0 .0
latch: shared pool 195 0 0 1 0.0 .0
CSS initialization 12 0 0 8 0.0 .0
PX qref latch 54 100 0 2 0.0 .0
SQL*Net more data from cli 995 0 0 0 0.0 .0
SQL*Net more data from dbl 300 0 0 0 0.0 .0
kksfbc child completion 1 100 0 56 0.0 .0
library cache: mutex X 244 0 0 0 0.0 .0
PX Deq: Signal ACK RSG 124 0 0 0 0.0 .0
undo segment extension 6 100 0 7 0.0 .0
PX Deq: Signal ACK EXT 124 0 0 0 0.0 .0
library cache load lock 3 0 0 9 0.0 .0
ADR block file write 45 0 0 1 0.0 .0
CSS operation: action 12 0 0 2 0.0 .0
reliable message 28 0 0 1 0.0 .0
CSS operation: query 72 0 0 0 0.0 .0
latch: row cache objects 14 0 0 1 0.0 .0
enq: SQ - contention 17 0 0 0 0.0 .0
latch free 32 0 0 0 0.0 .0
buffer busy waits 52 0 0 0 0.0 .0
enq: PS - contention 16 0 0 0 0.0 .0
enq: TX - row lock content 6 0 0 1 0.0 .0
SQL*Net message to dblink 1,018 0 0 0 0.0 .0
cursor: pin S 23 0 0 0 0.0 .0
latch: cache buffers lru c 8 0 0 0 0.0 .0
SQL*Net message from clien 1,923,970 0 944,508 491 14.7
jobq slave wait 66,732 100 33,334 500 0.5
Streams AQ: waiting for me 6,481 100 32,412 5001 0.0
wait for unread message on 32,858 98 32,411 986 0.3
PX Deq: Execution Msg 1,448 0 190 131 0.0
PX Deq: Execute Reply 1,196 0 74 62 0.0
HS message to agent 228 0 4 19 0.0
single-task message 42 0 4 97 0.0
PX Deq Credit: send blkd 904 0 2 3 0.0
PX Deq Credit: need buffer 205 0 1 3 0.0
Foreground Wait Events
-> s - second, ms - millisecond - 1000th of a second
-> Only events with Total Wait Time (s) >= .001 are shown
-> ordered by wait time desc, waits desc (idle events last)
-> %Timeouts: value of 0 indicates value was < .5%. Value of null is truly 0
Avg
%Time Total Wait wait Waits % DB
Event Waits -outs Time (s) (ms) /txn time
PX Deq: Table Q Normal 4,291 0 1 0 0.0
PX Deq: Join ACK 124 0 0 1 0.0
PX Deq: Parse Reply 124 0 0 0 0.0
KSV master wait 256 0 0 0 0.0
Latch Miss Sources
-> only latches with sleeps are shown
-> ordered by name, sleeps desc
NoWait Waiter
Latch Name Where Misses Sleeps Sleeps
ASM map operation freeli kffmTranslate2 0 2 0
DML lock allocation ktadmc 0 2 0
FOB s.o list latch ksfd_allfob 0 2 2
In memory undo latch ktiFlushMe 0 5 0
In memory undo latch ktichg: child 0 3 0
PC and Classifier lists No latch 0 6 0
Real-time plan statistic keswxAddNewPlanEntry 0 20 20
SQL memory manager worka qesmmIRegisterWorkArea:1 0 1 1
active service list kswslogon: session logout 0 23 12
active service list kswssetsvc: PX session swi 0 6 1
active service list kswsite: service iterator 0 1 0
archive process latch kcrrgpll 0 3 3
cache buffers chains kcbgtcr_2 0 1,746 573
cache buffers chains kcbgtcr: fast path (cr pin 0 1,024 2,126
cache buffers chains kcbgcur_2 0 60 8
cache buffers chains kcbchg1: kslbegin: bufs no 0 16 3
cache buffers chains kcbgtcr: fast path 0 14 20
cache buffers chains kcbzibmlt: multi-block rea 0 10 0
cache buffers chains kcbrls_2 0 9 53
cache buffers chains kcbgtcr: kslbegin shared 0 8 1
cache buffers chains kcbrls_1 0 7 84
cache buffers chains kcbgtcr: kslbegin excl 0 6 14
cache buffers chains kcbnew: new latch again 0 6 0
cache buffers chains kcbzgb: scan from tail. no 0 6 0
cache buffers chains kcbzwb 0 5 8
cache buffers chains kcbgcur: fast path (shr) 0 3 0
cache buffers chains kcbget: pin buffer 0 3 0
cache buffers chains kcbzhngcbk2_1 0 1 0
cache buffers lru chain kcbzgws 0 19 0
cache buffers lru chain kcbo_link_q 0 3 0
call allocation ksuxds 0 14 10
call allocation ksudlp: top call 0 2 3
enqueue hash chains ksqgtl3 0 2 1
enqueue hash chains ksqrcl 0 1 2
enqueues ksqgel: create enqueue 0 1 0
object queue header oper kcbo_unlink_q 0 5 2
object queue header oper kcbo_sw_buf 0 2 0
object queue header oper kcbo_link_q 0 1 2
object queue header oper kcbo_switch_cq 0 1 2
object queue header oper kcbo_switch_mq_bg 0 1 4
parallel query alloc buf kxfpbalo 0 1 1
process allocation ksucrp:1 0 2 0
process queue reference kxfpqrsnd 0 1 0
qmn task queue latch kwqmnmvtsks: delay to read 0 1 0
redo allocation kcrfw_redo_gen: redo alloc 0 17 0
row cache objects kqreqd: reget 0 6 0
row cache objects kqrpre: find obj 0 6 13
row cache objects kqrso 0 2 0
row cache objects kqreqd 0 1 2
row cache objects kqrpre: init complete 0 1 1
shared pool kghalo 0 199 106
shared pool kghupr1 0 39 109
shared pool kghfre 0 18 19
shared pool kghalp 0 7 29
space background task la ktsj_grab_task 0 21 27
Mutex Sleep Summary
-> ordered by number of sleeps desc
Wait
Mutex Type Location Sleeps Time (ms)
Library Cache kglhdgn2 106 338 12
Library Cache kgllkc1 57 259 10
Library Cache kgllkdl1 85 123 21
Cursor Pin kkslce [KKSCHLPIN2] 70 286
Library Cache kglget2 2 31 1
Library Cache kglhdgn1 62 31 2
Library Cache kglpin1 4 26 1
Library Cache kglpnal1 90 18 0
Library Cache kglpndl1 95 15 2
Library Cache kgllldl2 112 6 0
Library Cache kglini1 32 1 0
-------------------------------------------------------------Thanks in advance.Hi,
Thanks for reply.
I provided one hour report.
Inst Num Startup Time Release RAC
1 27-Feb-12 09:03 11.2.0.2.0 NO
Platform CPUs Cores Sockets Memory(GB)
Linux x86 64-bit 8 8 8 48.00
Snap Id Snap Time Sessions Curs/Sess
Begin Snap: 5606 29-Feb-12 04:00:35 63 3.7
End Snap: 5607 29-Feb-12 05:00:41 63 3.6
Elapsed: 60.11 (mins)
DB Time: 382.67 (mins)
Cache Sizes Begin End
~~~~~~~~~~~ ---------- ----------
Buffer Cache: 1,952M 1,952M Std Block Size: 16K
Shared Pool Size: 1,024M 1,024M Log Buffer: 18,868K
Load Profile Per Second Per Transaction Per Exec Per Call
~~~~~~~~~~~~ --------------- --------------- ---------- ----------
DB Time(s): 6.4 0.8 0.03 0.03
DB CPU(s): 1.0 0.1 0.00 0.00
Redo size: 84,539.3 10,425.6
Logical reads: 23,345.6 2,879.1
Block changes: 386.5 47.7
Physical reads: 1,605.0 197.9
Physical writes: 7.1 0.9
User calls: 233.9 28.9
Parses: 4.0 0.5
Hard parses: 0.1 0.0
W/A MB processed: 0.1 0.0
Logons: 0.1 0.0
Executes: 210.9 26.0
Rollbacks: 0.0 0.0
Transactions: 8.1
Instance Efficiency Percentages (Target 100%)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Buffer Nowait %: 99.62 Redo NoWait %: 100.00
Buffer Hit %: 95.57 In-memory Sort %: 100.00
Library Hit %: 99.90 Soft Parse %: 98.68
Execute to Parse %: 98.10 Latch Hit %: 99.99
Parse CPU to Parse Elapsd %: 32.08 % Non-Parse CPU: 99.90
Shared Pool Statistics Begin End
Memory Usage %: 89.25 89.45
% SQL with executions>1: 96.79 97.52
% Memory for SQL w/exec>1: 95.67 96.56
Top 5 Timed Foreground Events
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Avg
wait % DB
Event Waits Time(s) (ms) time Wait Class
db file sequential read 3,054,464 17,002 6 74.0 User I/O
DB CPU 3,748 16.3
read by other session 199,603 796 4 3.5 User I/O
direct path read 46,301 439 9 1.9 User I/O
db file scattered read 21,113 269 13 1.2 User I/O
Host CPU (CPUs: 8 Cores: 8 Sockets: 8)
~~~~~~~~ Load Average
Begin End %User %System %WIO %Idle
1.45 1.67 13.2 0.6 15.8 86.2
Instance CPU
~~~~~~~~~~~~
% of total CPU for Instance: 13.0
% of busy CPU for Instance: 94.7
%DB time waiting for CPU - Resource Mgr: 0.0
Memory Statistics
~~~~~~~~~~~~~~~~~ Begin End
Host Mem (MB): 49,152.0 49,152.0
SGA use (MB): 3,072.0 3,072.0
PGA use (MB): 513.5 467.7
% Host Mem used for SGA+PGA: 7.29 7.20
Time Model Statistics
-> Total time in database user-calls (DB Time): 22960.5s
-> Statistics including the word "background" measure background process
time, and so do not contribute to the DB time statistic
-> Ordered by % or DB time desc, Statistic name
Statistic Name Time (s) % of DB Time
sql execute elapsed time 22,835.9 99.5
DB CPU 3,748.4 16.3
parse time elapsed 15.4 .1
hard parse elapsed time 14.3 .1
PL/SQL execution elapsed time 7.5 .0
PL/SQL compilation elapsed time 6.0 .0
connection management call elapsed time 1.6 .0
sequence load elapsed time 0.4 .0
hard parse (sharing criteria) elapsed time 0.0 .0
repeated bind elapsed time 0.0 .0
failed parse elapsed time 0.0 .0
DB time 22,960.5
background elapsed time 238.1
background cpu time 4.9
Operating System Statistics
-> *TIME statistic values are diffed.
All others display actual values. End Value is displayed if different
-> ordered by statistic type (CPU Use, Virtual Memory, Hardware Config), Name
Statistic Value End Value
BUSY_TIME 396,506
IDLE_TIME 2,483,725
IOWAIT_TIME 455,495
NICE_TIME 0
SYS_TIME 16,163
USER_TIME 380,052
LOAD 1 2
RSRC_MGR_CPU_WAIT_TIME 0
VM_IN_BYTES 95,646,943,232
VM_OUT_BYTES 1,686,059,008
PHYSICAL_MEMORY_BYTES 51,539,607,552
NUM_CPUS 8
NUM_CPU_CORES 8
NUM_CPU_SOCKETS 8
GLOBAL_RECEIVE_SIZE_MAX 4,194,304
GLOBAL_SEND_SIZE_MAX 1,048,586
TCP_RECEIVE_SIZE_DEFAULT 87,380
TCP_RECEIVE_SIZE_MAX 4,194,304
TCP_RECEIVE_SIZE_MIN 4,096
TCP_SEND_SIZE_DEFAULT 16,384
TCP_SEND_SIZE_MAX 4,194,304
TCP_SEND_SIZE_MIN 4,096
Operating System Statistics -
Snap Time Load %busy %user %sys %idle %iowait
29-Feb 04:00:35 1.4 N/A N/A N/A N/A N/A
29-Feb 05:00:41 1.7 13.8 13.2 0.6 86.2 15.8
Foreground Wait Class
-> s - second, ms - millisecond - 1000th of a second
-> ordered by wait time desc, waits desc
-> %Timeouts: value of 0 indicates value was < .5%. Value of null is truly 0
-> Captured Time accounts for 97.6% of Total DB time 22,960.46 (s)
-> Total FG Wait Time: 18,651.75 (s) DB CPU time: 3,748.35 (s)
Avg
%Time Total Wait wait
Wait Class Waits -outs Time (s) (ms) %DB time
User I/O 3,327,253 0 18,576 6 80.9
DB CPU 3,748 16.3
Commit 23,882 0 69 3 0.3
System I/O 1,035 0 3 3 0.0
Network 842,393 0 2 0 0.0
Other 10,120 99 0 0 0.0
Configuration 3 0 0 58 0.0
Application 264 0 0 1 0.0
Concurrency 1,482 0 0 0 0.0
Foreground Wait Events
-> s - second, ms - millisecond - 1000th of a second
-> Only events with Total Wait Time (s) >= .001 are shown
-> ordered by wait time desc, waits desc (idle events last)
-> %Timeouts: value of 0 indicates value was < .5%. Value of null is truly 0
Avg
%Time Total Wait wait Waits % DB
Event Waits -outs Time (s) (ms) /txn time
db file sequential read 3,054,464 0 17,002 6 104.5 74.0
read by other session 199,603 0 796 4 6.8 3.5
direct path read 46,301 0 439 9 1.6 1.9
db file scattered read 21,113 0 269 13 0.7 1.2
log file sync 23,882 0 69 3 0.8 .3
db file parallel read 4,727 0 68 14 0.2 .3
control file sequential re 1,035 0 3 3 0.0 .0
SQL*Net message to client 840,792 0 2 0 28.8 .0
direct path read temp 95 0 2 18 0.0 .0
local write wait 79 0 0 4 0.0 .0
Disk file operations I/O 870 0 0 0 0.0 .0
ASM file metadata operatio 4 0 0 50 0.0 .0
log file switch (private s 3 0 0 58 0.0 .0
ADR block file read 36 0 0 3 0.0 .0
enq: RO - fast object reus 5 0 0 16 0.0 .0
latch: cache buffers chain 1,465 0 0 0 0.1 .0
SQL*Net break/reset to cli 256 0 0 0 0.0 .0
asynch descriptor resize 10,059 100 0 0 0.3 .0
SQL*Net more data to clien 1,510 0 0 0 0.1 .0
enq: KO - fast object chec 3 0 0 8 0.0 .0
SQL*Net more data from cli 91 0 0 0 0.0 .0
latch: shared pool 14 0 0 0 0.0 .0
ADR block file write 5 0 0 1 0.0 .0
reliable message 8 0 0 0 0.0 .0
direct path write temp 1 0 0 2 0.0 .0
SQL*Net message from clien 840,794 0 68,885 82 28.8
jobq slave wait 7,365 100 3,679 499 0.3
Streams AQ: waiting for me 721 100 3,605 5000 0.0
wait for unread message on 3,648 98 3,603 988 0.1
KSV master wait 20 0 0 0 0.0
Background Wait Events
-> ordered by wait time desc, waits desc (idle events last)
-> Only events with Total Wait Time (s) >= .001 are shown
-> %Timeouts: value of 0 indicates value was < .5%. Value of null is truly 0
Avg
%Time Total Wait wait Waits % bg
Event Waits -outs Time (s) (ms) /txn time
log file parallel write 29,353 0 83 3 1.0 34.8
db file parallel write 5,753 0 17 3 0.2 6.9
db file sequential read 1,638 0 15 9 0.1 6.1
control file sequential re 5,142 0 13 2 0.2 5.4
os thread startup 140 0 8 58 0.0 3.4
control file parallel writ 1,440 0 8 6 0.0 3.4
log file sequential read 304 0 8 26 0.0 3.3
db file scattered read 214 0 2 9 0.0 .8
ASM file metadata operatio 1,199 0 1 1 0.0 .3
direct path write 35 0 0 6 0.0 .1
direct path read 41 0 0 5 0.0 .1
kfk: async disk IO 6 0 0 9 0.0 .0
Disk file operations I/O 1,266 0 0 0 0.0 .0
ADR block file read 16 0 0 2 0.0 .0
read by other session 3 0 0 8 0.0 .0
Log archive I/O 2 0 0 10 0.0 .0
log file sync 3 0 0 5 0.0 .0
asynch descriptor resize 341 100 0 0 0.0 .0
CSS initialization 1 0 0 6 0.0 .0
log file single write 4 0 0 1 0.0 .0
latch: redo allocation 3 0 0 1 0.0 .0
ADR block file write 5 0 0 1 0.0 .0
LGWR wait for redo copy 45 0 0 0 0.0 .0
CSS operation: query 6 0 0 0 0.0 .0
CSS operation: action 1 0 0 1 0.0 .0
SQL*Net message to client 420 0 0 0 0.0 .0
rdbms ipc message 47,816 39 61,046 1277 1.6
DIAG idle wait 7,200 100 7,200 1000 0.2
Space Manager: slave idle 1,146 98 5,674 4951 0.0
class slave wait 284 0 3,983 14026 0.0
dispatcher timer 61 100 3,660 60006 0.0
Streams AQ: qmn coordinato 258 50 3,613 14003 0.0
Streams AQ: qmn slave idle 130 0 3,613 27789 0.0
Streams AQ: waiting for ti 7 71 3,608 515430 0.0
wait for unread message on 3,605 100 3,606 1000 0.1
pmon timer 1,201 100 3,604 3001 0.0
smon timer 15 73 3,603 240207 0.0
ASM background timer 754 0 3,602 4777 0.0
shared server idle wait 120 100 3,601 30006 0.0
SQL*Net message from clien 554 0 4 7 0.0
KSV master wait 101 0 0 2 0.0
Wait Event Histogram
-> Units for Total Waits column: K is 1000, M is 1000000, G is 1000000000
-> % of Waits: value of .0 indicates value was <.05%; value of null is truly 0
-> % of Waits: column heading of <=1s is truly <1024ms, >1s is truly >=1024ms
-> Ordered by Event (idle events last)
% of Waits
Total
Event Waits <1ms <2ms <4ms <8ms <16ms <32ms <=1s >1s
ADR block file read 52 73.1 1.9 9.6 13.5 1.9
ADR block file write 10 100.0
ADR file lock 12 100.0
ARCH wait for archivelog l 3 100.0
ASM file metadata operatio 1203 97.3 .5 .7 .3 .2 .9
CSS initialization 1 100.0
CSS operation: action 1 100.0
CSS operation: query 6 83.3 16.7
Disk file operations I/O 2118 95.4 4.5 .1
LGWR wait for redo copy 45 100.0
Log archive I/O 2 100.0
SQL*Net break/reset to cli 256 99.6 .4
SQL*Net message to client 839.9 100.0 .0
SQL*Net more data from cli 91 100.0
SQL*Net more data to clien 1503 100.0
asynch descriptor resize 10.4K 100.0
buffer busy waits 2 100.0
control file parallel writ 1440 5.7 35.1 24.0 16.3 12.0 5.5 1.5
control file sequential re 6177 69.4 7.5 5.9 8.1 7.1 1.7 .3
db file parallel read 4727 1.7 3.2 3.2 10.1 46.6 33.3 1.8
db file parallel write 5755 42.3 21.3 18.6 11.2 4.6 1.4 .5
db file scattered read 21.5K 8.4 4.3 11.9 18.9 26.3 25.3 4.9
db file sequential read 3053. 28.7 15.1 11.1 17.9 21.5 5.4 .3 .0
direct path read 46.3K 9.9 8.8 18.5 21.7 22.8 15.7 2.7
direct path read temp 95 9.5 9.5 23.2 49.5 8.4
direct path write 35 11.4 31.4 17.1 22.9 11.4 2.9 2.9
direct path write temp 1 100.0
enq: KO - fast object chec 3 66.7 33.3
enq: RO - fast object reus 5 20.0 20.0 20.0 20.0 20.0
kfk: async disk IO 6 50.0 16.7 16.7 16.7
latch free 3 100.0
latch: cache buffers chain 1465 100.0
latch: cache buffers lru c 1 100.0
latch: object queue header 2 100.0
latch: redo allocation 3 33.3 33.3 33.3
latch: row cache objects 2 100.0
latch: shared pool 15 93.3 6.7
local write wait 79 35.4 34.2 21.5 8.9
log file parallel write 29.4K 47.8 21.7 11.9 9.9 6.8 1.6 .3
log file sequential read 304 6.3 3.0 3.6 10.2 23.4 24.3 29.3
log file single write 4 25.0 75.0
log file switch (private s 3 100.0
log file sync 23.9K 40.9 28.0 12.9 9.7 6.7 1.5 .3
os thread startup 140 100.0
read by other session 199.6 37.1 19.9 12.9 13.1 13.8 3.1 .2
reliable message 8 100.0
ASM background timer 755 2.9 .4 .1 .1 .3 .1 .3 95.8
DIAG idle wait 7196 100.0
KSV master wait 121 88.4 2.5 3.3 2.5 .8 .8 1.7
SQL*Net message from clien 840.1 97.1 1.8 .5 .2 .2 .1 .0 .1
Space Manager: slave idle 1147 .1 .5 99.4
Streams AQ: qmn coordinato 258 49.6 .4 50.0
Streams AQ: qmn slave idle 130 .8 99.2
Streams AQ: waiting for me 721 100.0
Streams AQ: waiting for ti 7 28.6 42.9 28.6
class slave wait 283 39.9 2.5 2.5 3.5 4.9 9.2 15.2 22.3
dispatcher timer 60 100.0
jobq slave wait 7360 .0 .0 .0 99.9
pmon timer 1201 100.0
rdbms ipc message 47.8K 2.7 31.6 17.4 1.1 1.1 .9 20.9 24.3
Wait Event Histogram DB/Inst: I2KPROD/I2KPROD Snaps: 5606-5607
-> Units for Total Waits column: K is 1000, M is 1000000, G is 1000000000
-> % of Waits: value of .0 indicates value was <.05%; value of null is truly 0
-> % of Waits: column heading of <=1s is truly <1024ms, >1s is truly >=1024ms
-> Ordered by Event (idle events last)
% of Waits
Total
Event Waits <1ms <2ms <4ms <8ms <16ms <32ms <=1s >1s
shared server idle wait 120 100.0
smon timer 16 6.3 93.8
wait for unread message on 7250 .1 99.9
Latch Miss Sources
-> only latches with sleeps are shown
-> ordered by name, sleeps desc
NoWait Waiter
Latch Name Where Misses Sleeps Sleeps
In memory undo latch ktichg: child 0 1 0
active service list kswslogon: session logout 0 2 0
cache buffers chains kcbgtcr_2 0 1,123 483
cache buffers chains kcbgtcr: fast path (cr pin 0 496 1,131
cache buffers chains kcbrls_2 0 5 6
cache buffers chains kcbgcur_2 0 4 0
cache buffers chains kcbgtcr: fast path 0 3 1
cache buffers chains kcbzwb 0 2 4
cache buffers chains kcbchg1: kslbegin: bufs no 0 1 0
cache buffers chains kcbnew: new latch again 0 1 0
cache buffers chains kcbrls_1 0 1 6
cache buffers chains kcbzgb: scan from tail. no 0 1 0
cache buffers lru chain kcbzgws 0 1 0
object queue header oper kcbo_switch_cq 0 1 0
object queue header oper kcbo_switch_mq_bg 0 1 2
redo allocation kcrfw_redo_gen: redo alloc 0 3 0
row cache objects kqrpre: find obj 0 1 1
row cache objects kqrso 0 1 0
shared pool kghalo 0 13 3
shared pool kghupr1 0 4 15
shared pool kghalp 0 1 0
space background task la ktsj_grab_task 0 2 2
------------------------------------------------------------- -
Interested by performance issue ? Read this ! If you can explain, you're a master Jedi !
This is the question we will try to answer...
What si the bottle neck (hardware) of Adobe Premiere Pro CS6
I used PPBM5 as a benchmark testing template.
All the data and log as been collected using performance counter
First of all, describe my computer...
Operating System
Microsoft Windows 8 Pro 64-bit
CPU
Intel Xeon E5 2687W @ 3.10GHz
Sandy Bridge-EP/EX 32nm Technology
RAM
Corsair Dominator Platinum 64.0 GB DDR3
Motherboard
EVGA Corporation Classified SR-X
Graphics
PNY Nvidia Quadro 6000
EVGA Nvidia GTX 680 // Yes, I created bench stats for both card
Hard Drives
16.0GB Romex RAMDISK (RAID)
556GB LSI MegaRAID 9260-8i SATA3 6GB/s 5 disks with Fastpath Chip Installed (RAID 0)
I have other RAID installed, but not relevant for the present post...
PSU
Cosair 1000 Watts
After many days of tests, I wanna share my results with community and comment them.
CPU Introduction
I tested my cpu and pushed it at maximum speed to understand where is the limit, can I reach this limit and I've logged precisely all result in graph (See pictures 1).
Intro : I tested my E5-XEON 2687W (8 Cores Hyperthread - 16 threads) to know if programs can use the maximum of it. I used Prime 95 to get the result. // I know this seem to be ordinary, but you will understand soon...
The result : Yes, I can get 100% of my CPU with 1 program using 20 threads in parallel. The CPU gives everything it can !
Comment : I put 3 IO (cpu, disk, ram) on the graph of my computer during the test...
(picture 1)
Disk Introduction
I tested my disk and pushed it at maximum speed to understand where is the limit and I've logged precisely all result in graph (See pictures 2).
Intro : I tested my RAID 0 556GB (LSI MegaRAID 9260-8i SATA3 6GB/s 5 disks with Fastpath Chip Installed) to know if I can reach the maximum % disk usage (0% idle Time)
The result : As you can see in picture 2, yes, I can get the max of my drive at ~ 1.2 Gb/sec read/write steady !
Comment : I put 3 IO (cpu, disk, ram) on the graph of my computer during the test to see the impact of transfering many Go of data during ~10 sec...
(picture 2)
Now, I know my limits ! It's time to enter deeper in the subject !
PPBM5 (H.264) Result
I rendered the sequence (H.264) using Adobe Media Encoder.
The result :
My CPU is not used at 100%, the turn around 50%
My Disk is totally idle !
All the process usage are idle except process of (Adobe Media Encoder)
The transfert rate seem to be a wave (up and down). Probably caused by (Encrypt time.... write.... Encrypt time.... write...) // It's ok, ~5Mb/sec during transfert rate !
CPU Power management give 100% of clock to CPU during the encoding process (it's ok, the clock is stable during process).
RAM, more than enough ! 39 Go RAM free after the test ! // Excellent
~65 thread opened by Adobe Media Encoder (Good, thread is the sign that program try to using many cores !)
GPU Load on card seem to be a wave also ! (up and down) ~40% usage of GPU during the process of encoding.
GPU Ram get 1.2Go of RAM (But with GTX 680, no problem and Quadro 6000 with 6 GB RAM, no problem !)
Comment/Question : CPU is free (50%), disks are free (99%), GPU is free (60%), RAM is free (62%), my computer is not pushed at limit during the encoding process. Why ???? Is there some time delay in the encoding process ?
Other : Quadro 6000 & GTX 680 gives the same result !
(picture 3)
PPBM5 (Disk Test) Result (RAID LSI)
I rendered the sequence (Disk Test) using Adobe Media Encoder on my RAID 0 LSI disk.
The result :
My CPU is not used at 100%
My Disk wave and wave again, but far far from the limit !
All the process usage are idle except process of (Adobe Media Encoder)
The transfert rate wave and wave again (up and down). Probably caused by (Buffering time.... write.... Buffering time.... write...) // It's ok, ~375Mb/sec peak during transfert rate ! Easy !
CPU Power management give 100% of clock to CPU during the encoding process (it's ok, the clock is stable during process).
RAM, more than enough ! 40.5 Go RAM free after the test ! // Excellent
~48 thread opened by Adobe Media Encoder (Good, thread is the sign that program try to using many cores !)
GPU Load on card = 0 (This kind of encoding is GPU irrelevant)
GPU Ram get 400Mb of RAM (No usage for encoding)
Comment/Question : CPU is free (65%), disks are free (60%), GPU is free (100%), RAM is free (63%), my computer is not pushed at limit during the encoding process. Why ???? Is there some time delay in the encoding process ?
(picture 4)
PPBM5 (Disk Test) Result (Direct in RAMDrive)
I rendered the same sequence (Disk Test) using Adobe Media Encoder directly in my RamDrive
Comment/Question : Look at the transfert rate under (picture 5). It's exactly the same speed than with my RAID 0 LSI controller. Impossible ! Look in the same picture the transfert rate I can reach with the ramdrive (> 3.0 Gb/sec steady) and I don't go under 30% of disk usage. CPU is idle (70%), Disk is idle (100%), GPU is idle (100%) and RAM is free (63%). // This kind of results let me REALLY confused. It's smell bug and big problem with hardware and IO usage in CS6 !
(picture 5)
PPBM5 (MPEG-DVD) Result
I rendered the sequence (MPEG-DVD) using Adobe Media Encoder.
The result :
My CPU is not used at 100%
My Disk is totally idle !
All the process usage are idle except process of (Adobe Media Encoder)
The transfert rate wave and wave again (up and down). Probably caused by (Encoding time.... write.... Encoding time.... write...) // It's ok, ~2Mb/sec during transfert rate ! Real Joke !
CPU Power management give 100% of clock to CPU during the encoding process (it's ok, the clock is stable during process).
RAM, more than enough ! 40 Go RAM free after the test ! // Excellent
~80 thread opened by Adobe Media Encoder (Lot of thread, but it's ok in multi-thread apps!)
GPU Load on card = 100 (This use the maximum of my GPU)
GPU Ram get 1Gb of RAM
Comment/Question : CPU is free (70%), disks are free (98%), GPU is loaded (MAX), RAM is free (63%), my computer is pushed at limit during the encoding process for GPU only. Now, for this kind of encoding, the speed limit is affected by the slower IO (Video Card GPU)
Other : Quadro 6000 is slower than GTX 680 for this kind of encoding (~20 s slower than GTX).
(picture 6)
Encoding single clip FULL HD AVCHD to H.264 Result (Premiere Pro CS6)
You can look the result in the picture.
Comment/Question : CPU is free (55%), disks are free (99%), GPU is free (90%), RAM is free (65%), my computer is not pushed at limit during the encoding process. Why ???? Adobe Premiere seem to have some bug with thread management. My hardware is idle ! I understand AVCHD can be very difficult to decode, but where is the waste ? My computer want, but the software not !
(picture 7)
Render composition using 3D Raytracer in After Effects CS6
You can look the result in the picture.
Comment : GPU seems to be the bottle neck when using After Effects. CPU is free (99%), Disks are free (98%), Memory is free (60%) and it depend of the setting and type of project.
Other : Quadro 6000 & GTX 680 gives the same result in time for rendering the composition.
(picture 8)
Conclusion
There is nothing you can do (I thing) with CS6 to get better performance actually. GTX 680 is the best (Consumer grade card) and the Quadro 6000 is the best (Profressional card). Both of card give really similar result (I will probably return my GTX 680 since I not really get any better performance). I not used Tesla card with my Quadro, but actually, both, Premiere Pro & After Effects doesn't use multi GPU. I tried to used both card together (GTX & Quadro), but After Effects gives priority to the slower card (In this case, the GTX 680)
Premiere Pro, I'm speechless ! Premiere Pro is not able to get max performance of my computer. Not just 10% or 20%, but average 60%. I'm a programmor, multi-threadling apps are difficult to manage and I can understand Adobe's programmor. But actually, if anybody have comment about this post, tricks or any kind of solution, you can comment this post. It's seem to be a bug...
Thank you.Patrick,
I can't explain everything, but let me give you some background as I understand it.
The first issue is that CS6 has a far less efficient internal buffering or caching system than CS5/5.5. That is why the MPEG encoding in CS6 is roughly 2-3 times slower than the same test with CS5. There is some 'under-the-hood' processing going on that causes this significant performance loss.
The second issue is that AME does not handle regular memory and inter-process memory very well. I have described this here: Latest News
As to your test results, there are some other noteworthy things to mention. 3D Ray tracing in AE is not very good in using all CUDA cores. In fact it is lousy, it only uses very few cores and the threading is pretty bad and does not use the video card's capabilities effectively. Whether that is a driver issue with nVidia or an Adobe issue, I don't know, but whichever way you turn it, the end result is disappointing.
The overhead AME carries in our tests is something we are looking into and the next test will only use direct export and no longer the AME queue, to avoid some of the problems you saw. That entails other problems for us, since we lose the capability to check encoding logs, but a solution is in the works.
You see very low GPU usage during the H.264 test, since there are only very few accelerated parts in the timeline, in contrast to the MPEG2-DVD test, where there is rescaling going on and that is CUDA accelerated. The disk I/O test suffers from the problems mentioned above and is the reason that my own Disk I/O results are only 33 seconds with the current test, but when I extend the duration of that timeline to 3 hours, the direct export method gives me 22 seconds, although the amount of data to be written, 37,092 MB has increased threefold. An effective write speed of 1,686 MB/s.
There are a number of performance issues with CS6 that Adobe is aware of, but whether they can be solved and in what time, I haven't the faintest idea.
Just my $ 0.02 -
Performance issues in Reader 7
Hi,
We have a serious issue with performance in Reader 7. Our client is locked down to this version and we have developed our forms targeting this version in Designer but only recently discovered the performance problems. We seem to have pinpointed the problem to direct rendering in the form. When running the form in adobe reader 9, with direct rendering forced to off, we see the same symptoms that we saw on the adobe reader 7 client. The symptoms are that the memory usage of the acroRd32.exe process rises steadily as we interact with the form and does not come back down. After a time it becomes unusable as it takes about 25 seconds to move between fields. In version 9, with direct rendering on as default, this issue does not occur.
We disabled direct rendering in the XML source using:
<?originalXFAVersion http://www.xfa.org/schema/xfa-template/2.4/ LegacyRendering:1?>
Our client cannot upgrade their reader version and so we are in a very difficult position. If anyone can suggest a way to tackle this performance issue we will be very grateful.
Thanks,
KieranI'm working with Kieran on the same form and I think I have tracked the issue down to a difference between rendering methods in Adobe reader 7 and adobe reader 9. I drew up a benchmark test script and ran it before and after I disabled direct rendering. When runing the form in adobe reader 9, but with direct rendering forced to off. I see the same symptoms that I saw on the adobe reader 7 client.
I disabled direct rendering using:
<?originalXFAVersion http://www.xfa.org/schema/xfa-template/2.4/ LegacyRendering:1?>
Does anyone know of particular objects or methods that might be handled poorly by the legacy rendering mode found in adobe reader 7 (XFA 2.4 and earlier)?
Thanks
David -
Performance Issue When Read from Internal Table
In my form, I have 6 windows which contain all the header information, which are kept in my gt_header internal table. Since all windows required data from the same internal table, reading the internal table at Initialization for once or, creating the LOOP at each window, which one will be a better choice in terms of performance?
Hi,
you cannot create 6 windows under loop.You can only have loop under a window only.
So create a big window which covers whole area of 6 windows.Create templete under that and write only one loo with text in all those boxes of that templete.
Regards,
Rock. -
Reading / Writing files using Sockets
Hi there guys,
I am fairly new to this forum. I have been having a problem for the past three days. I am implementing a client/server implementation using Sockets which is a submodule of a project I am working on. What I want is that a files content are read and transferred over the network to the server that writes it down to a different file .
What the code presently does is :
<<<<Client Code >>>>
It reads a file input.txt and sends the content over the network to the server.
<<<< Server Code >>>
It reads the incoming data from the client and writes the data out to a file called output.txt
What I want now is that the server should read the file output.txt and send the contents to the client which reads it and then writes it down as a new file called serverouput.txt . After that I want to compare and see of the size of input.txt and serveroutput.txt . If both are same that means that data has been written reliably to the server.
I have been trying to implement it for a long time and nothing seems to work out. I am posting the code for both client and server below. Any help in finalising things would be really appreciated.
CLIENT CODE
import java.awt.Color;
import java.awt.BorderLayout;
import java.awt.event.*;
import javax.swing.*;
import java.util.Date;
import java.io.*;
import java.net.*;
class sc {
static final int PORT = 4444; //Change this to the relevant port
static final String HOST = "127.0.0.1";
//Change this to the relevant HOST,
//(where Server.java is running)
public static void main(String args[]) {
try {
System.out.print("Sending data...\n");
Socket skt = new Socket(HOST, PORT);
// Set the socket option just in case server stalls
skt.setSoTimeout ( 2000 );
skt.setSoKeepAlive(true);
//Create a file input stream and a buffered input stream.
FileInputStream fis = new FileInputStream("input.txt");
BufferedInputStream in = new BufferedInputStream(fis);
BufferedOutputStream out = new BufferedOutputStream( skt.getOutputStream() );
//Read, and write the file to the socket
int i;
while ((i = in.read()) != -1) {
out.write(i);
//System.out.println(i);
// Enable SO_KEEPALIVE
out.flush();
out.close();
in.close();
skt.close();
catch( Exception e ) {
System.out.print("Error! It didn't work! " + e + "\n");
catch( IOException e ) {
System.out.print("Error! It didn't work! " + e + "\n");
SERVER CODE
import java.awt.Color;
import java.awt.BorderLayout;
import java.awt.event.*;
import javax.swing.*;
import java.util.Date;
import java.io.*;
import java.net.*;
class ClientWorker implements Runnable {
private Socket client;
ClientWorker(Socket client) {
this.client = client;
public void run(){
try {
FileOutputStream fos = new FileOutputStream("output.txt");
BufferedOutputStream out = new BufferedOutputStream(fos);
BufferedInputStream in = new BufferedInputStream( client.getInputStream() );
//Read, and write the file to the socket
int i;
while ((i = in.read()) != -1) {
out.write(i);
//System.out.println(i);
System.out.println("Receiving data...");
out.flush();
in.close();
out.close();
client.close();
// srvr.close();
System.out.println("Transfer complete.");
catch(Exception e) {
System.out.print("Error! It didn't work! " + e + "\n");
class ss1 {
ServerSocket server = null;
ss1(){ //Begin Constructor
} //End Constructor
public void listenSocket(){
try{
server = new ServerSocket(4444);
} catch (IOException e) {
System.out.println("Could not listen on port 4444");
System.exit(-1);
while(true){
ClientWorker w;
try{
w = new ClientWorker(server.accept());
Thread t = new Thread(w);
t.start();
} catch (IOException e) {
System.out.println("Accept failed: 4444");
System.exit(-1);
protected void finalize(){
//Objects created in run method are finalized when
//program terminates and thread exits
try{
server.close();
} catch (IOException e) {
System.out.println("Could not close socket");
System.exit(-1);
public static void main(String[] args){
ss1 frame = new ss1();
frame.listenSocket();
}............................................. After that I want to
compare and see of the size of input.txt and
serveroutput.txt . If both are same that means that
data has been written reliably to the server.You don't need to do this. TCP/IP ensures the reliable transmition of data. By using a socket you are automaticaly sure that the data is reliably transmitted (Unless there is some sort of exception).
To get the size of the files you can use a File object. Look it up in java.io package in API documentation.
java-code-snippet (without error checking)
File clientFile = new File("input.txt");
clientFile.length(); -
FAQ's, intros and memorable discussions in the Performance and Tuning Forum
Welcome to the SDN ABAP Performance and Tuning Forum!
In addition to release dependent information avalaible by:
- pressing the F1 key on an ABAP statement,
- or searching for them in transaction ABAPDOCU,
- using the [SDN ABAP Development Forum Search|https://www.sdn.sap.com/irj/sdn/directforumsearch?threadid=&q=&objid=c42&daterange=all&numresults=15&rankby=10001],
- the information accessible via the [SDN ABAP Main Wiki|https://wiki.sdn.sap.com/wiki/display/ABAP],
- the [SAP Service Marketplace|http://service.sap.com] and see [SAP Note 192194|https://service.sap.com/sap/support/notes/192194] for search tips,
- the 3 part [How to write guru ABAP code series|https://www.sdn.sap.com/irj/sdn/go/portal/prtroot/docs/library/uuid/f2dac69e-0e01-0010-e2b6-81c1e8e5ce50] ... (use the search to easily find the other 2 documents...)
... this "sticky post" lists some threads from the ABAP forums as:
- An introduction for new members / visitors on topics discussed in threads,
- An introduction to how the forums are used and the quality expected,
- A collection of some threads which provided usefull answers to questions which are frequently asked, and,
- A collection of some memorable threads if you feel like reading some ABAP related material.
The listed threads will be enhanced from time to time. Please feel welcome to post to [this thread|Suggestions thread for ABAP FAQ sticky; to suggest any additional inclusions.
Note: When asking a question in the forum, please also provide sufficient information such that the question can be answered usefully, do not repeat interview-type questions, and once closed please indicate which solution was usefull - to help others who search for it.ABAP Performance and Tuning
Read Performance => Gurus take over the discussion from Guests caught cheating the points-system.
SELECT INTO TABLE => Initial questions often result in interesting follow-up discussions.
Inner Joins vs For all Entries. => Including infos about system parameters for performance optimization.
Inner Join Vs Database view Vs for all entries => Usefull literature recommended by performance guru YukonKid.
Inner Joins vs For All Entries - performance query => Performance legends unplugged... read the blogs as well.
The ABAP Runtime Trace (SE30) - Quick and Easy => New tricks in old tools. See other blogs by the same author as well.
Skip scan used instead of (better?) range scan => Insider information on how index access works.
DELETE WHERE sample case that i would like to share with you => Experts discussing the deletion of data from internal tables.
Impact of Order of fields in Secondary index => Also discussing order of fields in WHERE-clause
"SELECT SINGLE" vs. "SELECT UP TO 1 ROWS" => Better for performance or semantics?
into corresponding fields of table VERSUS into table => detailed discussion incl. runtime measurements
Indexes making program run slower... => Everything you ever wanted to know about Oracle indexes.
New! Mass reading standard texts (STXH, STXL) => avoiding single calls to READ_TEXT for time-critical processes
New! Next Generation ABAP Runtime Analysis (SAT) => detailed introduction to the successor of SE30
New! Points to note when using FOR ALL ENTRIES => detailed blog on the pitfall(s) a developer might face when using FAE
New! Performance: What is the best way to check if a record exist on a table ? => Hermann's tips on checking existence of a record in a table
Message was edited by: Oxana Noa Zubarev -
Performance Issue on Select Condition on KNA1 table
Hi,
I am facing problem when i am selecting from the table KNA1 for given account group and attribute9 it is taking lot of time .
Please suggest the select query or any other feasible soln to solve this problem
select
kunnr
kotkd
from kna1
where kunnr eq parameter value and
kotkd eq 'ZPY' and katr9 = 'L' or 'T'.
Firstly i am using in in katr9 then i removed dur to performance issue using read further please suggest further performanace solnHi,
The select should be like:
select
kunnr
kotkd
from kna1
where kunnr eq parameter value
and kotkd eq 'ZPY'
and katr9 in r_katr9. " 'L' or 'T'.
create a range for katr9 like r_katr9 with L or T.
Because while selecting the entries from KNA1, it will check for KATR9 = L and then KATR9 = T.
Hope the above statement is useful for you.
Regards,
Shiva. -
ITunes 7.3.2.6 and Windows Vista Performance Issues
I recently purchased an 80GB iPod, and downloaded iTunes promptly, disregarding all the negative attention about how "iTunes crashes your computer" or "iTunes kills Windows". So far, the only real problem I've had with iTunes is the amazingly poor performance it has on my computer. When iTunes is minimized to the system tray, or compressed into Mini Player mode, it runs better, but not well.
Running in the full mode, the player bogs down my computer substantially. Knowing my laptop isn't a powerhouse, I expected a slight bit of slowdown, since there is some evident with QuickTime.
UPDATE: I've just stumbled across something. Apparently, wiggling my mouse over the iTunes program, iTunes runs about two or three times faster. The moment I stop moving the mouse cursor over the window, the speeds return to slow. It seems to only do this during the "Processing Album Artwork" phase. Bizarre? Very. Any explanations?
I find this to be very annoying, especially when syncing. Syncing my library (which is about five or six gigabytes) takes an amazingly long time. Are there any workarounds, registry hacks, or anything else that can be done? Thanks!
Message was edited by: AtlinkDo you have ReadyBoost enabled on the PC? If so, by way of experiment, try disabling that as per the instructions from the following document:
Troubleshooting iTunes for Windows Vista video playback performance issues
... any help at all with the performance issues? -
Idle Session Performance issue
Hi,
Just want to know if there are session that are idle can create any kind of performance issue.
Regards,
VikasVikas Kohli wrote:
Hi,
Just want to know if there are session that are idle can create any kind of performance issue.
Can you get something for nothing?
Idle session does consume "some" resources.
Does any consumed resource impact performance?
By which metric at what value is considered any kind of performance issue? -
Socket based application - Performance Issues - Suggestions Needed
Hi All,
We have an application which basically has been developed using core java. Here is a high level information about the application:
a) It opens a serversocket which allows clients to connect to it.
b) For every new client connection, a separate thread is created and this thread deals with requests from clients, processing the data and replying back to clients.
c) Each socket is polled continuously and sockettimeout is 2 seconds. If there is a timeout, we handle the situation and socket is again read. So basically sockets is read every 2 seconds. If number of timeouts reaches a configurable value, we close the connection and thread is dropped as well.
d) In production, three instances of this application are running with the help of a cisco load balancer. It is there for last 5 years.
However there has always been some minor performance isssues and we have sorted them out using different types of garbage collectors, by introducing hardware load balancers, upgrading the code for new Java versions. It is currently running on 1.4.2.
However there has always been some performance issues and today while googling over internet I came across following on the bea website which says that core java sockets are not as efficients as native API. BEA has implemented its own APIs for weblogic. My queries are:
a) Are there any better Java Socket/network API (for solairs, I know Java is plateform independenet but there could be lib which also using native libs) which are much more efficient than Core Java.
b) We are getting the InputStream/OutputStream and creating objects of DataInputStream/DataOutputStream to read the data 'Byte-By-Byte'. Each byte can have different information thats why it is required. Are there any better way of getting info than what we are currently doing.
c) As I mentioned, we are continously polling the socket for read operation with a timeout value of 2 seconds. What is the better among the following from performance point of view: (1) Frequent read operation with a lesser timeout value or (2) Less Frequent read operations with larger timeout value. (3) Any better idea??
Please suggest few things or pointers which I could do to improve the performance of the applcations. Many thanks.
Thanks,Akhil
From BEA website:-
"Although the pure-Java implementation of socket reader threads is a reliable and portable method of peer-to-peer communication, it does not provide the best performance for heavy-duty socket usage in a WebLogic Server cluster. With pure-Java socket readers, threads must actively poll all opened sockets to determine if they contain data to read. In other words, socket reader threads are always "busy" polling sockets, even if the sockets have no data to read. This unnecessary overhead can reduce performance."My recommendations:
- Always use a BufferedInputStream and BufferedOutputStream around the socket streams
- Increase the socket send and receive buffers to at least 32k if you are on a Windows platform where the default is a ridiculous 8k, which hasn't been enough for about 15 years.
- Your 2-second timeout is far too short. Increase it to at least 10 seconds.
- Your strategy of counting up to N short timeouts of S seconds each is completely pointless. Change it to one single timeout of N*S seconds. There is nothing to be gained by the complication you have introduced to this. -
A process for the performance monitoring, tuning and fixing issues
Hello
Any recommendations for 10g a process/procedure/methodology for the performance monitoring, tuning and fixing issues for a team to follow ?Ranker wrote:
Hello
Any recommendations for 10g a process/procedure/methodology for the performance monitoring, tuning and fixing issues for a team to follow ?1) upgrade the DB to a supported version.
2) Read The Fine Manual; Performance Tuning Guide
http://docs.oracle.com/cd/E11882_01/server.112/e10822/toc.htm
Handle: Ranker
Status Level: Newbie
Registered: May 12, 2013
Total Posts: 13
Total Questions: 4 (4 unresolved)
How sad!
why do you never get your questions answered here? -
Performance Issues with Acrobat Reader 11.0.0.2 when secure mode is enabled
Hello All,
We are experiencing sporadic issues with Acrobat 11.0.0.2 across our domain, users are reporting performance issues when opening PDF documents whether locally or from a network share.
We have found that turning off Secure Mode helps towards reducing this delay and in the cases it doesn't we are repairing the installation and/or reinstalling the application.
Due to the security implications we need to leave this turned on, I am wondering if anyone has encountered this issue and what steps were taken towards resolving it?
I also wonder whether the white list function in the new release 11.0.0.3 would be a solution to this issue?
Kind Regards,
Ryan McCartyNo probelm, so....
We had no problems with Adobe Reader 9 and 10, we encountered the issues when upgrading to 11.0.0.2.
Initially we found that turning off the Protected Mode, helped but did not resolve the issue.
We tried;
1. Turn off protected mode - issue still present
2. Clearing the recent file registry using the below registry path and deleting the keys underneath it.
HKEY_CURRENT_USER\Software\Adobe\Acrobat Reader\11.0\AVGeneral\cRecentFiles (this does not turn recent files off permanently). - works but needs clearing regularly
3. Turning off welcome screen by creating - HKEY_LOCAL_MACHINE\SOFTWARE\Policies\Adobe\Acrobat Reader\11.0\FeatureLockDown\cWelcomeScreen - works to improve app open speed.
4. uninstall/reinstall of 11.0.0.2 - works most likley due to the recent files being cleared.
5. upgrade to 11.0.0.3 - issue still present
Following reboots the issue is still present.
When Adobe Reader is the only application open this issue is still present.
As mentioned I have no systems available which I could test this issue using 11.0.0.1 as we have fixed them, albeit temporarily using the reinstall method.
I am concious that this issue is going to reoccur once that cache (recent files) builds back up because the fix above (#2) is clearing the recent files cache NOT disabling it. -
Oracle 9i reading BLOB performance issues
Windows XP Pro SP2
JDK 1.5.0_05
Oracle 9i
Oracle Thin Driver for JDK 1.4 v.10.2.0.1.0
DBCP v.1.2.1
Spring v1.2.7 (I am using the JDBC template for convenience)
I have run into serious performance issues reading BLOBs from Oracle using oracle's JDBC thin driver. I am not sure if it a constraint/mis-configuration with oracle or a JDBC problem.
I am hoping that someone has some experience accessing multi-MB BLOBs under heavy volume.
We are considering using Oracle 8 or 9 as a document repository. It will end up storing hundreds of thousands of PDFs that can be as large as 30 MBs. We don't have access to Oracle 10.
TESTS
I am running tests against Oracle 8 and 9 to simulate single and multi-threaded document access. Out goal is to get a sense of KBps throughput and BLOB data access contention.
DATA
There is a single test table with 100 rows. Each row has a PK id and a BLOB field. The blobs range in size from a few dozen KB to 12MB. They represent a valid sample of production data. The total data size is approx. 121 MBs.
Single Threaded Test
The test selects a single blob object at a time and then reads the contents of the blob's binary input stream in 2 KB chunks. At the end of the test, it will have accessed all 100 blobs and streamed all 121 MBs. The test harness is JUnit.
8i Results: On 8i it starts and terminates successfully on a steady and reliable basis. The throughput hovers around 4.8 MBps.
9i Results: Similar reliability to 8i. The throughput is about 30% better.
Multi-Threaded Test
The multi-threaded test uses the same "blob reader" functionality used in the single threaded test. However, it spawns 8 threads each running a separate "blob reader".
8i Results: The tests successfully complete on a reliable basis. The aggregate throughput of all 8 threads is a bit more than 4.8 MBps.
9i Results: Erratic. The tests were highly erratic on 9i. Threads would intermittently lock when accessing a BLOB's output stream. Sometimes they lock accessing data from the same row, othertimes it is distinct rows. The number and the timing of the thread "locks" is indeterminate. When the test completed successfully the aggregate throughput of the 8 threads was approx. 5.4 MBps.
I would be more than happy to post code or the data model if that would help.
CarlosHi Murphy16,
Try investigate where are the principal issues in your RAC system.
Check:
* Expensive SQL's;
* Sorts in disks;
* Wait Events;
* Interconnect hardware issues;
* Applications doing unnecessary manual LOCKs (SQL);
* If SGA is adequatly sized (take care to not use of SWAP space "DISK");
* Backup's and unnecessary jobs running at business time (Realocate this jobs and backups to night window or a less intensive work hour at database);
* Rebuild indexes and identify tables that must be reorganized (fragmentation);
* Verify another software consuming resources on your server;
Please give us more info about your environment. The steps above are general, but you can use to guide u in basic performance issues.
Regards,
Rodrigo Mufalani
http://mufalani.blogspot.com -
Oracle 9i Performance Issue High Physical Reads
Dear All,
I have Oracle 9i Release 9.2.0.5.0 database under HP Unix, I have run the query and got following output. Can any body just have a look and advise what to do in the following situation? We have performance issues.
Many thanks in advance
Buffer Pool Advisory for DB: DBPR Instance: DBPR End Snap: 902
-> Only rows with estimated physical reads >0 are displayed
Size for Size Buffers for Est Physical Estimated
P Estimate (M) Factr Estimate Read Factor Physical Reads
D 416 .1 51,610 4.27 1,185,670,652
D 832 .2 103,220 2.97 825,437,374
D 1,248 .3 154,830 2.03 563,139,985
D 1,664 .4 206,440 1.49 412,550,232
D 2,080 .5 258,050 1.32 366,745,510
D 2,496 .6 309,660 1.23 340,820,773
D 2,912 .7 361,270 1.14 317,544,771
D 3,328 .8 412,880 1.09 301,680,173
D 3,744 .9 464,490 1.04 288,191,418
D 4,096 1.0 508,160 1.00 276,929,627Hi,
Actually you didnt give the exact problem statement.
Seems to be your database is I/O bound. Ok, do the following one by one:
1. Identify the FTS queries and try to create the optimal indexes (depending on the disk reads factor!!) on the problem queries.
2. To reduce the 276M physical reads, you need to allocate more memory to db_cache_size. try 8GB (initially) and then depending on the buffer advisery you can increase further if you have more memory on the box.
3. as a Next step , configure KEEP and RECYCLE cache to get the benefits of reduced I/O by multiple pools. Allocate objects to the KEEP/RECYCLE pools.
Thanks,
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