count(*) performance issue
Hi,
which will be more performance friendly and WHY??(Also is ther any difference between them??)
1. select count(col1) from tbl
OR
2. select count(*) from tbl
OR
3. select count(rowid) from tbl
rgds,
s
Hi,
See the below link:
http://asktom.oracle.com/pls/asktom/f?p=100:11:0::::P11_QUESTION_ID:1156159920245
Regards
Similar Messages
-
Performance issue when using select count on large tables
Hello Experts,
I have a requirement where i need to get count of data from a database table.Later on i need to display the count in ALV format.
As per my requirement, I have to use this select count inside a nested loops.
Below is the count snippet:
LOOP at systems assigning <fs_sc_systems>.
LOOP at date assigning <fs_sc_date>.
SELECT COUNT( DISTINCT crmd_orderadm_i~header )
FROM crmd_orderadm_i
INNER JOIN bbp_pdigp
ON crmd_orderadm_iclient EQ bbp_pdigpclient "MANDT is referred as client
AND crmd_orderadm_iguid EQ bbp_pdigpguid
INTO w_sc_count
WHERE crmd_orderadm_i~created_at BETWEEN <fs_sc_date>-start_timestamp
AND <fs_sc_date>-end_timestamp
AND bbp_pdigp~zz_scsys EQ <fs_sc_systems>-sys_name.
endloop.
endloop.
In the above code snippet,
<fs_sc_systems>-sys_name is having the system name,
<fs_sc_date>-start_timestamp is having the start date of month
and <fs_sc_date>-end_timestamp is the end date of month.
Also the data in tables crmd_orderadm_i and bbp_pdigp is very large and it increases every day.
Now,the above select query is taking a lot of time to give the count due to which i am facing performance issues.
Can any one pls help me out to optimize this code.
Thanks,
SumanHi Choudhary Suman ,
Try this:
SELECT crmd_orderadm_i~header
INTO it_header " interna table
FROM crmd_orderadm_i
INNER JOIN bbp_pdigp
ON crmd_orderadm_iclient EQ bbp_pdigpclient
AND crmd_orderadm_iguid EQ bbp_pdigpguid
FOR ALL ENTRIES IN date
WHERE crmd_orderadm_i~created_at BETWEEN date-start_timestamp
AND date-end_timestamp
AND bbp_pdigp~zz_scsys EQ date-sys_name.
SORT it_header BY header.
DELETE ADJACENT DUPLICATES FROM it_header
COMPARING header.
describe table it_header lines v_lines.
Hope this information is help to you.
Regards,
José -
Performance Issue - higher fetch count
Hi,
The database version is 10.2.0.4.
Below is the tkprof report of an application session having performance issue.
We shared the screens of application team and were able to see the lag in report generation.
It shows an elapsed time of 157 seconds, however the same query when executed in database is taking fractions of a second.
Kindly help and suggest if more detail is needed.
call count cpu elapsed disk query current rows
Parse 149 0.00 0.00 0 0 0 0
Execute 298 0.02 0.02 0 0 0 0
Fetch 298 157.22 156.39 0 38336806 0 298
total 745 157.25 156.42 0 38336806 0 298
Misses in library cache during parse: 1
Misses in library cache during execute: 1
Optimizer mode: FIRST_ROWS
Parsing user id: 80
Rows Row Source Operation
2 SORT AGGREGATE (cr=257294 pr=0 pw=0 time=1023217 us)
32 FILTER (cr=257294 pr=0 pw=0 time=6944757 us)
22770 NESTED LOOPS (cr=166134 pr=0 pw=0 time=4691233 us)
22770 NESTED LOOPS (cr=166130 pr=0 pw=0 time=4600141 us)
82910 INDEX FULL SCAN S_LIT_BU_U1 (cr=326 pr=0 pw=0 time=248782 us)(object id 69340)
22770 TABLE ACCESS BY INDEX ROWID S_LIT (cr=165804 pr=0 pw=0 time=559291 us)
82890 INDEX UNIQUE SCAN S_LIT_P1 (cr=82914 pr=0 pw=0 time=247901 us)(object id 69332)
22770 INDEX UNIQUE SCAN S_BU_U2 (cr=4 pr=0 pw=0 time=48958 us)(object id 63064)
20 NESTED LOOPS (cr=91032 pr=0 pw=0 time=268508 us)
22758 INDEX UNIQUE SCAN S_ORDER_P1 (cr=45516 pr=0 pw=0 time=104182 us)(object id 70915)
20 INDEX RANGE SCAN CX_ORDER_LIT_U1 (cr=45516 pr=0 pw=0 time=114669 us)(object id 158158)
20 NESTED LOOPS (cr=128 pr=0 pw=0 time=364 us)
32 INDEX UNIQUE SCAN S_ORDER_P1 (cr=64 pr=0 pw=0 time=144 us)(object id 70915)
20 INDEX RANGE SCAN CX_ORDER_LIT_U1 (cr=64 pr=0 pw=0 time=158 us)(object id 158158)Rgds,
Sanjay
Edited by: 911847 on Feb 2, 2012 5:53 AM
Edited by: 911847 on Feb 5, 2012 11:50 PMHi,
I changed optimizer to first_rows and taken below details.
09:21:31 SQL> show parameter optimizer
NAME TYPE VALUE
optimizer_mode string FIRST_ROWS_100
09:21:51 SQL> ALTER SESSION SET STATISTICS_LEVEL=ALL;
Session altered.
PLAN_TABLE_OUTPUT
SQL_ID fkcs93gkrt2zz, child number 0
SELECT COUNT (*) FROM SIEBEL.S_LIT_BU T1, SIEBEL.S_BU T2, SIEBEL.S_LIT T3
WHERE T3.BU_ID = T2.PAR_ROW_ID AND T1.BU_ID = '0-R9NH' AND T3.ROW_ID = T1.LIT_ID
AND (T3.X_VISIBILITY_BUSCOMP_ORDER = 'Y') AND (T3.ROW_ID = '1-28B0AH' OR T3.ROW_ID =
'1-28B0AF' OR T3.ROW_ID = '1-2V4GCV' OR T3.ROW_ID = '1-2F5USL' OR T3.ROW_ID =
'1-27PFED' OR T3.ROW_ID = '1-1KO7WJ' OR T3.ROW_ID IN ( SELECT SQ1_T1.LIT_ID FROM
SIEBEL.CX_ORDER_LIT SQ1_T1, SIEBEL.S_ORDER SQ1_T2 WHERE ( SQ1_T1.ORDER_ID =
SQ1_T2.ROW_ID) AND (SQ1_T2.ROW_ID = '1-2VVI61')) AND (T3.ROW_ID = '1-28B0AH' OR
T3.ROW_ID = '1-28B0AF' OR T3.ROW_ID = '1-2V4GCV' OR T3.ROW_ID = '1-2F5USL' OR
T3.ROW_ID = '1-27PFED' OR T3.ROW_ID = '1-1KO7WJ' OR T3.ROW_ID IN ( SELECT
SQ1_T1.LIT_ID FROM SIEBEL.CX_ORDER_LIT SQ1_T1, SIEBEL.S_ORDER SQ1_T2 WHERE (
SQ1_T1.ORDER_ID = SQ1_T2.ROW_ID) AND (SQ1_T2.ROW_ID = '1-2VVI61'))))
Plan hash value: 307628812
| Id | Operation | Name | E-Rows | OMem | 1Mem | Used-Mem |
| 1 | SORT AGGREGATE | | 1 | | | |
|* 2 | FILTER | | | | | |
| 3 | NESTED LOOPS | | 7102 | | | |
| 4 | MERGE JOIN | | 7102 | | | |
|* 5 | TABLE ACCESS BY INDEX ROWID| S_LIT | 7102 | | | |
| 6 | INDEX FULL SCAN | S_LIT_P1 | 41408 | | | |
|* 7 | SORT JOIN | | 41360 | 1186K| 567K| 1054K (0)|
|* 8 | INDEX FULL SCAN | S_LIT_BU_U1 | 41360 | | | |
|* 9 | INDEX UNIQUE SCAN | S_BU_U2 | 1 | | | |
| 10 | NESTED LOOPS | | 1 | | | |
|* 11 | INDEX UNIQUE SCAN | S_ORDER_P1 | 1 | | | |
|* 12 | INDEX RANGE SCAN | CX_ORDER_LIT_U1 | 1 | | | |
| 13 | NESTED LOOPS | | 1 | | | |
|* 14 | INDEX UNIQUE SCAN | S_ORDER_P1 | 1 | | | |
|* 15 | INDEX RANGE SCAN | CX_ORDER_LIT_U1 | 1 | | | |
Predicate Information (identified by operation id):
2 - filter((((INTERNAL_FUNCTION("T3"."ROW_ID") OR IS NOT NULL) AND IS NOT NULL)
OR INTERNAL_FUNCTION("T3"."ROW_ID")))
5 - filter("T3"."X_VISIBILITY_BUSCOMP_ORDER"='Y')
7 - access("T3"."ROW_ID"="T1"."LIT_ID")
filter("T3"."ROW_ID"="T1"."LIT_ID")
8 - access("T1"."BU_ID"='0-R9NH')
filter("T1"."BU_ID"='0-R9NH')
9 - access("T3"."BU_ID"="T2"."PAR_ROW_ID")
11 - access("SQ1_T2"."ROW_ID"='1-2VVI61')
12 - access("SQ1_T1"."ORDER_ID"='1-2VVI61' AND "SQ1_T1"."LIT_ID"=:B1)
14 - access("SQ1_T2"."ROW_ID"='1-2VVI61')
15 - access("SQ1_T1"."ORDER_ID"='1-2VVI61' AND "SQ1_T1"."LIT_ID"=:B1)
Note
- Warning: basic plan statistics not available. These are only collected when:
* hint 'gather_plan_statistics' is used for the statement or
* parameter 'statistics_level' is set to 'ALL', at session or system level -
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 -
Is there a recommended limit on the number of custom sections and the cells per table so that there are no performance issues with the UI?
Thanks Kelly,
The answers would be the following:
1200 cells per custom section (NEW COUNT), and up to 30 custom sections per spec.
Assuming all will be populated, and this would apply to all final material specs in the system which could be ~25% of all material specs.
The cells will be numeric, free text, drop downs, and some calculated numeric.
Are we reaching the limits for UI performance?
Thanks -
Performance issues with pipelined table functions
I am testing pipelined table functions to be able to re-use the <font face="courier">base_query</font> function. Contrary to my understanding, the <font face="courier">with_pipeline</font> procedure runs 6 time slower than the legacy <font face="courier">no_pipeline</font> procedure. Am I missing something? The <font face="courier">processor</font> function is from [url http://www.oracle-developer.net/display.php?id=429]improving performance with pipelined table functions .
Edit: The underlying query returns 500,000 rows in about 3 minutes. So there are are no performance issues with the query itself.
Many thanks in advance.
CREATE OR REPLACE PACKAGE pipeline_example
IS
TYPE resultset_typ IS REF CURSOR;
TYPE row_typ IS RECORD (colC VARCHAR2(200), colD VARCHAR2(200), colE VARCHAR2(200));
TYPE table_typ IS TABLE OF row_typ;
FUNCTION base_query (argA IN VARCHAR2, argB IN VARCHAR2)
RETURN resultset_typ;
c_default_limit CONSTANT PLS_INTEGER := 100;
FUNCTION processor (
p_source_data IN resultset_typ,
p_limit_size IN PLS_INTEGER DEFAULT c_default_limit)
RETURN table_typ
PIPELINED
PARALLEL_ENABLE(PARTITION p_source_data BY ANY);
PROCEDURE with_pipeline (argA IN VARCHAR2,
argB IN VARCHAR2,
o_resultset OUT resultset_typ);
PROCEDURE no_pipeline (argA IN VARCHAR2,
argB IN VARCHAR2,
o_resultset OUT resultset_typ);
END pipeline_example;
CREATE OR REPLACE PACKAGE BODY pipeline_example
IS
FUNCTION base_query (argA IN VARCHAR2, argB IN VARCHAR2)
RETURN resultset_typ
IS
o_resultset resultset_typ;
BEGIN
OPEN o_resultset FOR
SELECT colC, colD, colE
FROM some_table
WHERE colA = ArgA AND colB = argB;
RETURN o_resultset;
END base_query;
FUNCTION processor (
p_source_data IN resultset_typ,
p_limit_size IN PLS_INTEGER DEFAULT c_default_limit)
RETURN table_typ
PIPELINED
PARALLEL_ENABLE(PARTITION p_source_data BY ANY)
IS
aa_source_data table_typ;-- := table_typ ();
BEGIN
LOOP
FETCH p_source_data
BULK COLLECT INTO aa_source_data
LIMIT p_limit_size;
EXIT WHEN aa_source_data.COUNT = 0;
/* Process the batch of (p_limit_size) records... */
FOR i IN 1 .. aa_source_data.COUNT
LOOP
PIPE ROW (aa_source_data (i));
END LOOP;
END LOOP;
CLOSE p_source_data;
RETURN;
END processor;
PROCEDURE with_pipeline (argA IN VARCHAR2,
argB IN VARCHAR2,
o_resultset OUT resultset_typ)
IS
BEGIN
OPEN o_resultset FOR
SELECT /*+ PARALLEL(t, 5) */ colC,
SUM (CASE WHEN colD > colE AND colE != '0' THEN colD / ColE END)de,
SUM (CASE WHEN colE > colD AND colD != '0' THEN colE / ColD END)ed,
SUM (CASE WHEN colD = colE AND colD != '0' THEN '1' END) de_one,
SUM (CASE WHEN colD = '0' OR colE = '0' THEN '0' END) de_zero
FROM TABLE (processor (base_query (argA, argB),100)) t
GROUP BY colC
ORDER BY colC
END with_pipeline;
PROCEDURE no_pipeline (argA IN VARCHAR2,
argB IN VARCHAR2,
o_resultset OUT resultset_typ)
IS
BEGIN
OPEN o_resultset FOR
SELECT colC,
SUM (CASE WHEN colD > colE AND colE != '0' THEN colD / ColE END)de,
SUM (CASE WHEN colE > colD AND colD != '0' THEN colE / ColD END)ed,
SUM (CASE WHEN colD = colE AND colD != '0' THEN 1 END) de_one,
SUM (CASE WHEN colD = '0' OR colE = '0' THEN '0' END) de_zero
FROM (SELECT colC, colD, colE
FROM some_table
WHERE colA = ArgA AND colB = argB)
GROUP BY colC
ORDER BY colC;
END no_pipeline;
END pipeline_example;
ALTER PACKAGE pipeline_example COMPILE;Edited by: Earthlink on Nov 14, 2010 9:47 AM
Edited by: Earthlink on Nov 14, 2010 11:31 AM
Edited by: Earthlink on Nov 14, 2010 11:32 AM
Edited by: Earthlink on Nov 20, 2010 12:04 PM
Edited by: Earthlink on Nov 20, 2010 12:54 PMEarthlink wrote:
Contrary to my understanding, the <font face="courier">with_pipeline</font> procedure runs 6 time slower than the legacy <font face="courier">no_pipeline</font> procedure. Am I missing something? Well, we're missing a lot here.
Like:
- a database version
- how did you test
- what data do you have, how is it distributed, indexed
and so on.
If you want to find out what's going on then use a TRACE with wait events.
All nessecary steps are explained in these threads:
HOW TO: Post a SQL statement tuning request - template posting
http://oracle-randolf.blogspot.com/2009/02/basic-sql-statement-performance.html
Another nice one is RUNSTATS:
http://asktom.oracle.com/pls/asktom/ASKTOM.download_file?p_file=6551378329289980701 -
Performance Issues with Photoshop CS6 64-Bit
Hello -
Issue at hand: over the course of the last few weeks, I have noticed significant issues with performance since the last update to PS CS6 via the Adobe Application Manager, ranging from unexpected shut downs to bringing my workstation to a crawl (literally, my cursor seems to crawl across my displays). I'm curious as to if anyone else is experiencing these issues, or if there is a solution I have not yet tried. Here is a list of actions that result in these performance issues - there are likely more that I have either not experienced due to my frustration, or have not documented as occuring multiple times:
Opening files - results in hanging process, takes 3-10 seconds to resolve
Pasting from clipboard - results in hanging process, takes 3-10 seconds to resolve
Saving files - takes 3-10 seconds to open the dialog, another 3-10 seconds to return to normal window (saving a compressed PNG)
Eyedropper tool - will either crash Photoshop to desktop, or take 5-15 seconds to load
Attempting to navigate any menu - will either crash Photoshop to desktop, or take 5-15 seconds to load
Attempts I've taken to resolve this matter, which have failed:
Uninstalled all fonts that I have added since the last update (this was a pain in the ***, thank you Windows explorer for being glitchy)
Uninstall application and reinstall application
Use 32-bit edition
Changing process priority to Above Normal
Confirm process affinity to all available CPU cores
Change configuration of Photoshop performance options
61% of memory is available to Photoshop to use (8969 MB)
History states: 20; Cache levels: 6; Cache tile size: 1024K
Scratch disks: active on production SSD, ~10GB space available
Dedicated graphics processor is selected (2x nVidia cards in SLI)
System Information:
Intel i7 2600K @ 3.40GHz
16GB DDR3, Dual Channel RAM
2x nVidia GeForce GTS 450 cards, 1GB each
Windows 7 Professional 64-bit
Adobe Creative Cloud
This issue is costing me time I could be working every day, and I'm about ready to begin searching for alternatives and cancel my membership if I can't get this resolved.Adobe Photoshop Version: 13.1.2 (13.1.2 20130105.r.224 2013/01/05:23:00:00) x64
Operating System: Windows 7 64-bit
Version: 6.1 Service Pack 1
System architecture: Intel CPU Family:6, Model:10, Stepping:7 with MMX, SSE Integer, SSE FP, SSE2, SSE3, SSE4.1, SSE4.2, HyperThreading
Physical processor count: 4
Logical processor count: 8
Processor speed: 3392 MHz
Built-in memory: 16350 MB
Free memory: 12070 MB
Memory available to Photoshop: 14688 MB
Memory used by Photoshop: 61 %
Image tile size: 1024K
Image cache levels: 6
OpenGL Drawing: Enabled.
OpenGL Drawing Mode: Basic
OpenGL Allow Normal Mode: True.
OpenGL Allow Advanced Mode: True.
OpenGL Allow Old GPUs: Not Detected.
OpenCL Version: 1.1 CUDA 4.2.1
OpenGL Version: 3.0
Video Rect Texture Size: 16384
OpenGL Memory: 1024 MB
Video Card Vendor: NVIDIA Corporation
Video Card Renderer: GeForce GTS 450/PCIe/SSE2
Display: 2
Display Bounds: top=0, left=1920, bottom=1080, right=3840
Display: 1
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Photoshop scratch has async I/O enabled
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Primary Plug-ins folder: C:\Program Files\Adobe\Adobe Photoshop CS6 (64 Bit)\Plug-ins\
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adbeape.dll Adobe APE 2012/01/25-10:04:55 66.1025012 66.1025012
AdobeLinguistic.dll Adobe Linguisitc Library 6.0.0
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filter_graph.dll AIF 3.0 62.490293
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libifcoremd.dll Intel(r) Visual Fortran Compiler 10.0 (Update A)
libmmd.dll Intel(r) C Compiler, Intel(r) C++ Compiler, Intel(r) Fortran Compiler 12.0
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tbb.dll Intel(R) Threading Building Blocks for Windows 3, 0, 2010, 0406
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Plug-ins that failed to load: NONE
Flash:
Mini Bridge
Kuler
Installed TWAIN devices: NONE -
Performance issue in procedure
Hi All
i have a performance issue with below procedure it is taking 10-15 hrs .custom table has 2 lacks record .
PROCEDURE update_summary_dollar_amounts( p_errbuf OUT VARCHAR2
,p_retcode OUT NUMBER) IS
v_customer_id NUMBER := NULL;
pymt_count NUMBER := 0;
rec_count NUMBER := 0;
v_number_late NUMBER;
v_number_on_time NUMBER;
v_days_late NUMBER;
v_avg_elapsed NUMBER;
v_avg_elapsed_US NUMBER;
v_percent_prompt NUMBER;
v_percent_late NUMBER;
v_number_open NUMBER;
v_last_payment_amount NUMBER;
v_last_payment_date DATE;
v_prev_payment_amount NUMBER;
v_prev_payment_date DATE;
v_last_sale_amount NUMBER;
v_last_sale_date DATE;
v_mtd_sales NUMBER;
v_ytd_sales NUMBER;
v_prev_year_sales NUMBER;
v_prev_receipt_num VARCHAR2(30);
v_last_sale VARCHAR2(50);
c_current_year VARCHAR2(4);
c_previous_year VARCHAR2(4);
c_current_month VARCHAR2(8);
/* ====================================================================== */
/* CURSOR Customer Cursor (Main Customer) LOOP */
/* ====================================================================== */
CURSOR customer_cursor IS
SELECT cst.customer_id customer_id
,cst.customer_number customer_number
,cst.org_id org_id
FROM zz_ar_customer_summary_all cst
ORDER by cst.customer_id;
/* ====================================================================== */
/* CURSOR Payments Cursor LOOP */
/* Note: This logic is taken from the Customer Credit Snapshot */
/* Report - ARXCCS */
/* ====================================================================== */
CURSOR payments_cursor IS
SELECT cr.receipt_number receipt_num
,NVL(cr.amount,0) amount
,crh.gl_date gl_date
FROM ar_lookups
,ar_cash_receipts_all cr
,ar_cash_receipt_history_all crh
,ar_receivable_applications_all ra
,ra_customer_trx_all ct
WHERE NVL(cr.type,'CASH') = ar_lookups.lookup_code
AND ar_lookups.lookup_type = 'PAYMENT_CATEGORY_TYPE'
AND cr.pay_from_customer = v_customer_id
AND cr.cash_receipt_id = ra.cash_receipt_id
AND cr.cash_receipt_id = crh.cash_receipt_id
AND crh.first_posted_record_flag = 'Y'
AND ra.applied_customer_trx_id = ct.customer_trx_id(+)
ORDER BY cr.creation_date DESC
,cr.cash_receipt_id DESC
,ra.creation_date DESC;
customer_record customer_cursor%rowtype;
payments_record payments_cursor%rowtype;
BEGIN
p_errbuf := NULL;
p_retcode := 0;
c_current_year := TO_CHAR(SYSDATE,'YYYY');
c_current_month := TO_CHAR(SYSDATE,'YYYYMM');
c_previous_year := TO_CHAR(TO_NUMBER(c_current_year) - 1);
FOR customer_record IN customer_cursor LOOP
/* Get Days Late and Average Elapsed Days */
/* Note: This logic is taken from the Customer Credit Snapshot */
/* Report - ARXCCS */
BEGIN
v_customer_id := customer_record.customer_id;
BEGIN
SELECT DECODE(COUNT(cr.deposit_date), 0, 0, ROUND(SUM(cr.deposit_date - ps.trx_date) / COUNT(cr.deposit_date))) avgdays
,DECODE(COUNT(cr.deposit_date), 0, 0, ROUND(SUM(cr.deposit_date - ps.due_date) / COUNT(cr.deposit_date))) avgdayslate
,NVL(SUM(DECODE(SIGN(cr.deposit_date - ps.due_date),1, 1, 0)), 0) newlate
,NVL(SUM( DECODE(SIGN(cr.deposit_date - ps.due_date),1, 0, 1)), 0) newontime
INTO v_avg_elapsed
,v_days_late
,v_number_late
,v_number_on_time
FROM ar_receivable_applications_all ra
,ar_cash_receipts_all cr
,ar_payment_schedules_all ps
WHERE ra.cash_receipt_id = cr.cash_receipt_id
AND ra.applied_payment_schedule_id = ps.payment_schedule_id
AND ps.customer_id = v_customer_id
AND ra.apply_date BETWEEN ADD_MONTHS(SYSDATE, -12) AND SYSDATE
AND ra.status = 'APP'
AND ra.display = 'Y'
AND NVL(ps.receipt_confirmed_flag,'Y') = 'Y';
EXCEPTION
WHEN NO_DATA_FOUND THEN
v_days_late := NULL;
v_number_late := NULL;
v_avg_elapsed := NULL;
v_number_on_time := NULL;
END;
IF (v_number_on_time + v_number_late) > 0
THEN
v_percent_prompt := ROUND(v_number_on_time/(v_number_on_time + v_number_late),2) * 100;
v_percent_late := ROUND(v_number_late/(v_number_on_time + v_number_late),2) * 100;
ELSE
v_percent_prompt := 0;
v_percent_late := 0;
END IF;
/* C2# 49827 */
/* Get new average elapsed days for US use only */
v_avg_elapsed_us := NULL;
IF NVL(customer_record.org_id,-999) = 114
THEN
v_avg_elapsed_us := 0;
BEGIN
SELECT ROUND(SUM(NVL(ra.amount_applied,0) * (cr.deposit_date - ps.trx_date)) / DECODE(SUM(NVL(ra.amount_applied,0)),0,1,SUM(NVL(ra.amount_applied,0)))) avg_elapsed_us
INTO v_avg_elapsed_us
FROM ar_receivable_applications_all ra
,ar_cash_receipts_all cr
,ar_payment_schedules_all ps
WHERE ra.cash_receipt_id = cr.cash_receipt_id
AND ra.applied_payment_schedule_id = ps.payment_schedule_id
AND ps.customer_id = v_customer_id
AND ra.apply_date BETWEEN ADD_MONTHS(SYSDATE, -06) AND SYSDATE
AND ps.status = 'CL'
AND ra.status = 'APP'
AND ra.display = 'Y'
AND nvl(ps.receipt_confirmed_flag,'Y') = 'Y'
AND ra.amount_applied <> 0;
v_avg_elapsed_us := NVL(v_avg_elapsed_us,0);
EXCEPTION
WHEN NO_DATA_FOUND THEN
v_avg_elapsed_us := NULL;
END;
END IF;
END;
/* Get MTD, YTD, Prev Year Sales */
/* Note: This logic is taken from the Customer Credit Snapshot */
/* Report - ARXCCS */
BEGIN
SELECT NVL(SUM(DECODE(TO_CHAR(ps.trx_date,'YYYYMM'),c_current_month,amount_due_original,0)),0) mtd_sales
,NVL(SUM(DECODE(TO_CHAR(ps.trx_date,'YYYY'),c_current_year,amount_due_original,0)),0) ytd_sales
,NVL(SUM(DECODE(TO_CHAR(ps.trx_date,'YYYY'),c_previous_year,amount_due_original,0)),0) prev_sales
,SUM(DECODE(ps.status,'OP',(DECODE(SIGN(amount_due_original),1,1,0)),0)) number_open
INTO v_mtd_sales
,v_ytd_sales
,v_prev_year_sales
,v_number_open
FROM ar_payment_schedules_all ps
WHERE ps.customer_id = v_customer_id
AND ps.class != 'PMT';
EXCEPTION
WHEN NO_DATA_FOUND THEN
v_mtd_sales := NULL;
v_ytd_sales := NULL;
v_prev_year_sales := NULL;
END;
/* Get Last and Previous Payments */
pymt_count := 0;
v_last_payment_date := NULL;
v_prev_payment_date := NULL;
v_last_payment_amount := NULL;
v_prev_payment_amount := NULL;
v_prev_receipt_num := NULL;
FOR payments_record IN payments_cursor LOOP
BEGIN
IF payments_record.receipt_num = v_prev_receipt_num
THEN
NULL;
ELSIF pymt_count = 0
THEN
v_last_payment_date := payments_record.gl_date;
v_last_payment_amount := payments_record.amount;
pymt_count := pymt_count +1;
v_prev_receipt_num := payments_record.receipt_num;
ELSIF pymt_count = 1
THEN
v_prev_payment_date := payments_record.gl_date;
v_prev_payment_amount := payments_record.amount;
EXIT;
ELSE
EXIT;
END IF;
END;
END LOOP;
/* Get Last Sale Date and Amount */
/* Note: This logic is taken from the Customer Credit Snapshot */
/* Report - ARXCCS */
BEGIN
SELECT MAX(TO_CHAR(ct.trx_date,'YYYYDDD')||ps.amount_due_original)
INTO v_last_sale
FROM ra_cust_trx_types_all ctt
,ar_payment_schedules_all ps
,ra_customer_trx_all ct
WHERE ps.customer_trx_id = ct.customer_trx_id
AND ct.cust_trx_type_id = ctt.cust_trx_type_id
AND ct.bill_to_customer_id = v_customer_id
AND ps.class || '' = 'INV'
ORDER BY ct.trx_date DESC
,ct.customer_trx_id DESC;
EXCEPTION
WHEN NO_DATA_FOUND
THEN
v_last_sale := NULL;
END;
IF v_last_sale IS NOT NULL
THEN
v_last_sale_date := TO_DATE(SUBSTR(v_last_sale,1,7),'YYYYDDD');
v_last_sale_amount := SUBSTR(v_last_sale,8,15);
ELSE
v_last_sale_date := NULL;
v_last_sale_amount := NULL;
END IF;
/* Update Values into ZZ_AR_CUSTOMER_SUMMARY_ALL */
BEGIN
UPDATE zz_ar_customer_summary_all
SET sales_last_year = v_prev_year_sales
,sales_ytd = v_ytd_sales
,sales_mtd = v_mtd_sales
,last_sale_date = v_last_sale_date
,last_sale_amount = v_last_sale_amount
,last_payment_date = v_last_payment_date
,last_payment_amount = v_last_payment_amount
,previous_payment_date = v_prev_payment_date
,previous_payment_amount = v_prev_payment_amount
,prompt = v_percent_prompt
,late = v_percent_late
,avg_elapsed_days = v_avg_elapsed
,avg_elapsed_days_us = v_avg_elapsed_us -- C2# 49827
,days_late = v_days_late
,number_open = v_number_open
WHERE customer_id = customer_record.customer_id;
EXCEPTION
WHEN PROGRAM_ERROR THEN NULL;
WHEN DUP_VAL_ON_INDEX THEN NULL;
WHEN STORAGE_ERROR THEN NULL;
WHEN OTHERS THEN NULL;
END;
rec_count := rec_count + 1;
IF rec_count = 10000
THEN
COMMIT;
rec_count := 0;
fnd_file.put_line(fnd_file.output,'Commit at customer_id = ' || TO_CHAR(customer_record.customer_id) || ' ' || TO_CHAR(SYSDATE, 'DD-MON-YYYY HH24:MI:SS'));
fnd_file.new_line(fnd_file.output,1);
END IF;
END LOOP;
COMMIT;
EXCEPTION
WHEN others THEN
ROLLBACK;
p_retcode := 2;
p_errbuf := SQLERRM;
END update_summary_dollar_amounts;
Thanks,
AnuBased on my initial assessment of the code, it looks like you are utilizing the "slow by slow" method. It is often termed "slow by slow" because it is one of the most INefficient ways of doing data processing. The "slow by slow" method uses CURSOR FOR LOOPs to loop through entire record sets and process them one at a time. In your case it looks like you are using NESTED FOR LOOPs which could exacerbate the problem.
I recommend you re-think your approach and try and do everything in a single, or a few SQL statements if possible and avoid the procedural logic.
If you can post your business requirements, and sample data we may be able to help you achieve your goal.
HTH! -
Performance issue with pl/sql code
Hi Oracle Gurus,
I am in need of your recommendations for a performance issue that I am facing in production envrionment. There is a pl/sql procedure which executes with different elapsed time at different executions. Elapsed Times are 30minutes , 40 minutes, 65 minutes , 3 minutes ,3 seconds.
Expected elapsed time is maximum of 3 minutes. ( But some times it took 3 seconds too...! )
Output on all different executions are same that is deletion and insertion of 12K records into a table.
Here is the auto trace details of two different scenarios.
Slow execution - 33.65 minutes
Stat Name Statement Per Execution % Snap
Elapsed Time (ms) 1,712,343 1,712,342.6 41.4
CPU Time (ms) 1,679,689 1,679,688.6 44.7
Executions 1 N/A N/A
Buffer Gets ########## 167,257,973.0 86.9
Disk Reads 1,284 1,284.0 0.4
Parse Calls 1 1.0 0.0
User I/O Wait Time (ms) 4,264 N/A N/A
Cluster Wait Time (ms) 3,468 N/A N/A
Application Wait Time (ms) 0 N/A N/A
Concurrency Wait Time (ms) 6 N/A N/A
Invalidations 0 N/A N/A
Version Count 4 N/A N/A
Sharable Mem(KB) 85 N/A N/A
-------------------------------------------------------------Fast Exection : 5 seconds
Stat Name Statement Per Execution % Snap
Elapsed Time (ms) 41,550 41,550.3 0.7
CPU Time (ms) 40,776 40,776.3 1.0
Executions 1 N/A N/A
Buffer Gets 2,995,677 2,995,677.0 4.2
Disk Reads 22 22.0 0.0
Parse Calls 1 1.0 0.0
User I/O Wait Time (ms) 162 N/A N/A
Cluster Wait Time (ms) 621 N/A N/A
Application Wait Time (ms) 0 N/A N/A
Concurrency Wait Time (ms) 55 N/A N/A
Invalidations 0 N/A N/A
Version Count 4 N/A N/A
Sharable Mem(KB) 85 N/A N/A
-------------------------------------------------------------For security reasons, I cannot share the actual code. Its a report generating code that deletes and load the data into table using insert into select statement.
Delete from table ;
cursor X to get the master data ( 98 records )
For each X loop
insert into tableA select * from tables where a= X.a and b= X.b and c=X.c ..... ;
-- 12 K records inserted on average
insert into tableB select * from tables where a= X.a and b= X.b and c=X.c ..... ;
-- 12 K records inserted on average
end loop ;1. The select query is complex with bind variables ( explain plan varies for each values )
2. I have checked the tablespace of the tables involved, it is 82% used. DBA confirmed that it is not the reason.
3. Disk reads are high during long execution.
4. At long running times, I can see a db sequential read wait event on a index object. This index is on the table where data is inserted.
All I need to find is why this code is taking 3 seconds and 60 minutes on the same day and on the consecutive executions ?
Is there any other approach to find the root cause of this behaviour and to fix it ? Kindly adivse.
Thanks in advance your help.
Regards,
Hari
Edited by: BluShadow on 26-Sep-2012 08:24
edited to add {noformat}{noformat} tags. You've been a member long enough to know to do this yourself... so please do so in future. ({message:id=9360002})Hariharan ST wrote:
Hi Oracle Gurus,
I am in need of your recommendations for a performance issue that I am facing in production envrionment. There is a pl/sql procedure which executes with different elapsed time at different executions. Please reedit your post and add some code tags around the trace information. This would improve readability greatly and will help us to help you
example
{<b></b>code}
select * from dual;{<b></b>code}
Based upon your description I can imagine two things.
a) The execution plan for the select query does change frequently.
A typical reason can be not up to date statistics.
b) Some locking / wait conflict. For example upon a UK index.
Are there any other operations going on while it is slow? If anybody inserts a value, then your session will wait, if the same (PK/UK) value also is to be inserted.
Those wait events can be recognized using standard tools like oracle sql developer or enterprise manager while the query is slow.
Also go through the links that are in the FAQ. They tell you how to get better information for makeing a tuning request.
SQL and PL/SQL FAQ
Edited by: Sven W. on Sep 25, 2012 6:41 PM -
Major performance Issues after upgrading to 10.9.2
Hi,
I have been having major performance issues almost preventing me from using the computer at times. I suspect I don't have enough memory to run Maverick as the computer was great before I upgraded.
If any experts or people with ideas for me to speed up the computer, please respond. If you think the only way to improve performance is add memory or revert back to a previous version of OSX that I have a backup for, let me know.
Here is the info on my system, thank you in advance!!
Hardware Information:
MacBook Pro (15-inch, Late 2008)
MacBook Pro - model: MacBookPro5,1
1 2.4 GHz Intel Core 2 Duo CPU: 2 cores
2 GB RAM
Video Information:
NVIDIA GeForce 9400M - VRAM: 256 MB
NVIDIA GeForce 9600M GT - VRAM: 256 MB
System Software:
OS X 10.9.2 (13C1021) - Uptime: 3 days 21:20:10
Disk Information:
Hitachi HTS543225L9SA02 disk0 : (250.06 GB)
EFI (disk0s1) <not mounted>: 209.7 MB
:c (disk0s2) / [Startup]: 249.2 GB (67.82 GB free)
Recovery HD (disk0s3) <not mounted>: 650 MB
MATSHITADVD-R UJ-868
USB Information:
Apple Inc. Built-in iSight
Apple, Inc. Apple Internal Keyboard / Trackpad
Apple Computer, Inc. IR Receiver
Fitbit Inc. Fitbit Base Station
Apple Inc. BRCM2046 Hub
Apple Inc. Bluetooth USB Host Controller
Thunderbolt Information:
Configuration files:
/etc/sysctl.conf - Exists
/etc/hosts - Count: 29
Gatekeeper:
Mac App Store and identified developers
Kernel Extensions:
[not loaded] com.LaCie.ScsiType00 (1.2.0) Support
[not loaded] com.cisco.nke.ipsec (2.0.1) Support
[not loaded] com.leapfrog.codeless.kext (2) Support
[not loaded] com.leapfrog.driver.LfConnectDriver (1.8.1 - SDK 10.7) Support
[not loaded] com.rim.driver.BlackBerryUSBDriverInt (0.0.39) Support
[not loaded] com.rim.driver.BlackBerryUSBDriverVSP (0.0.39) Support
[not loaded] net.kromtech.kext.AVKauth (2.3.6 - SDK 10.8) Support
[not loaded] net.kromtech.kext.Firewall (2.3.6 - SDK 10.8) Support
Startup Items:
CiscoVPN: Path: /System/Library/StartupItems/CiscoVPN
Problem System Launch Daemons:
[failed] com.apple.wdhelper.plist
Launch Daemons:
[loaded] com.adobe.fpsaud.plist Support
[loaded] com.adobe.SwitchBoard.plist Support
[running] com.fitbit.galileod.plist Support
[loaded] com.google.keystone.daemon.plist Support
[loaded] com.leapfrog.connect.shell.plist Support
[loaded] com.microsoft.office.licensing.helper.plist Support
[loaded] com.timesoftware.timemachineeditor.backupd-auto.plist Support
[running] com.zeobit.MacKeeper.AntiVirus.plist Support
[running] com.zeobit.MacKeeper.plugin.AntiTheft.daemon.plist Support
Launch Agents:
[not loaded] com.adobe.AAM.Updater-1.0.plist Support
[loaded] com.adobe.CS5ServiceManager.plist Support
[running] com.brother.LOGINserver.plist Support
[running] com.google.keystone.agent.plist Support
User Launch Agents:
[loaded] com.adobe.ARM.[...].plist Support
[failed] [email protected]
[loaded] com.macpaw.CleanMyMac.helperTool.plist Support
[running] com.microsoft.LaunchAgent.SyncServicesAgent.plist Support
[running] com.zeobit.MacKeeper.Helper.plist Support
User Login Items:
Google Chrome
Internet Plug-ins:
o1dbrowserplugin: Version: 5.3.1.18536 Support
Google Earth Web Plug-in: Version: 7.1 Support
Default Browser: Version: 537 - SDK 10.9
Flip4Mac WMV Plugin: Version: 2.3.8.1 Support
OfficeLiveBrowserPlugin: Version: 12.2.9 Support
AdobePDFViewerNPAPI: Version: 10.1.9 Support
FlashPlayer-10.6: Version: 13.0.0.201 - SDK 10.6 Support
DivXBrowserPlugin: Version: 2.0 Support
Silverlight: Version: 5.1.10411.0 - SDK 10.6 Support
Flash Player: Version: 13.0.0.201 - SDK 10.6 Outdated! Update
iPhotoPhotocast: Version: 7.0
googletalkbrowserplugin: Version: 5.3.1.18536 Support
QuickTime Plugin: Version: 7.7.3
AdobePDFViewer: Version: 10.1.9 Support
GarminGpsControl: Version: 2.6.4.0 Release Support
SharePointBrowserPlugin: Version: 14.3.9 - SDK 10.6 Support
JavaAppletPlugin: Version: 14.9.0 - SDK 10.7 Check version
Safari Extensions:
Dashlane: Version: 2.4.0.55923
Audio Plug-ins:
BluetoothAudioPlugIn: Version: 1.0 - SDK 10.9
AirPlay: Version: 2.0 - SDK 10.9
AppleAVBAudio: Version: 203.2 - SDK 10.9
iSightAudio: Version: 7.7.3 - SDK 10.9
iTunes Plug-ins:
Quartz Composer Visualizer: Version: 1.4 - SDK 10.9
User Internet Plug-ins:
Dashlane: Version: Dashlane 1.0.0 - SDK 10.7 Support
Move_Media_Player: Version: npmnqmp 071705000010 Support
WebEx64: Version: 1.0 - SDK 10.6 Support
Picasa: Version: 1.0 Support
3rd Party Preference Panes:
Flash Player Support
Flip4Mac WMV Support
Growl Support
Time Machine:
Skip System Files: NO
Auto backup: NO - Auto backup turned off
Time Machine not configured!
Top Processes by CPU:
3% WindowServer
2% SystemUIServer
1% diskimages-helper
1% mds
0% Google Chrome Helper EH
Top Processes by Memory:
94 MB Google Chrome
59 MB GoogleSoftwareUpdateDaemon
57 MB Google Chrome Helper EH
52 MB Google Chrome Helper
39 MB Finder
Virtual Memory Information:
40 MB Free RAM
499 MB Active RAM
481 MB Inactive RAM
465 MB Wired RAM
7.33 GB Page-ins
502 MB Page-outsThe performance issues are due to third party software. Mavericks at the minimum requires 2GB's of RAM but I don't think that's the issue. And you can upgrade RAM anytime.
MacKeeper should be uninstalled. It does far more harm than good.
Do not install MacKeeper: Apple Support Communities
Uninstall instructions > how to uninstall MacKeeper
249.2 GB (67.82 GB free)
Keep an eye on available disk space.
Click your Apple menu icon top left in your screen. From the drop down menu click About This Mac > More Info > Storage
Make sure there's at least 15% free disk space. Less can slow your Mac down.
You also need to uninstall CleanMyMac > How To Uninstall CleanMyMac
Third party so called Mac cleaning utilities are not necessary on a Mac. Your Mac runs maintenance in the background for you.
Mac OS X: About background maintenance tasks -
Performance issue using webelements and crystal
We have 2 reports named, u201CDAMAGE_REPORTSu201D AND u201CTDI_CHARTu201D
DAMAGE_REPORTS
There are 13 dynamic or static Prompts created using Webelements .After clicking on submit button(using
webelement) by selecting the prompt values, TDI_CHART report will get opened below the u201CDAMAGE_REPORTSu201D report.
TDI_CHART
TDI_CHART created using free-hand SQL which contains 2 commands
1. Command-SQL is created based on two categories.
Trend -Trend By Month ,Trend By Quarter,Trend By Week
Non-Trend- Current Month ,Current Year to Date,Last Year to Date,Current Quarter,Last
Quarter,Current Week,Last Week,Last Month,Last Year Total
Charts,Cross-tabs and table information is coming from this Query
2.Image count-contains number of images information based on the prompt selection and it acts as a
URL(opendocument) in the report to open TDI_THUMBNAIL report to display the thumbnail images.
Report information
TDI_CHART Report contains 8 charts,4 cross-tabs, summary information showing in table format(Detail
section) and2 open document links(1.For image count 2.Export to excel(which shows the detail information
of summary table)
Description
If the selection is Non-Trend Value from the Time period parameter , corresponding Chart will be shown along with table information.(Table information is only required for Non-Trend Values).
If the Selection is Trend Value from the Time period parameter,the corresponding cross tab and chart will be shown and others will get suppressed.
Problem Area
After the prompt selection from u201CDamage_Reportsu201D, TDI_CHART report is taking around 1min 30 sec to show the chart and table or cross-tab.
In Database when we execute the above queries, it comes in 12 secs but whereas in reports it takes 1min 30 sec,can you guide us some steps to bring down this time?hello Mufiza,
copy the url created at the step "After the prompt selection from u201CDamage_Reports".
paste this url into a new browser window and press enter.
what is the time to return this report?...this time should also be 1.5 minutes.
it sounds like you are using 2 commands in the same report. this will often cause performance issues, just like linking two stored procedures together or linking two disparate datasources together.
this would not be an issue related to webelements but related to the design of your target report.
jw -
Performance issue on the sys.dba_audit_session
i have the following query which is taking long time and had performance issue.
SELECT TO_CHAR(current_timestamp AT TIME ZONE 'GMT', 'YYYY-MM-DD HH24:MI:SS TZD') AS curr_timestamp, COUNT(username) AS
failed_count
FROM sys.dba_audit_session
WHERE returncode != 0
AND timestamp >= current_timestamp - TO_DSINTERVAL('0 0:30:00')
call count cpu elapsed disk query current rows
Parse 1 0.01 0.04 0 0 0 0
Execute 1 0.00 0.00 0 0 0 0
Fetch 2 68.42 216.08 3943789 3960058 0 1
total 4 68.43 216.13 3943789 3960058 0 1
The view dba_audit_session is a select from the view dba_audit_trail. If you
look at the definition of dba_audit_trail it does a CAST on the ntimestamp#
column. Therefore disabling index access because there is not a function
based index on ntimestamp#. I am not even sure a function based index would
work to match what the view does.
cast ( /* TIMESTAMP */
(from_tz(ntimestamp#,'00:00') at local) as date),
To get index access the metric would have to avoid the use of the view. I have changed the query like this.
SELECT /*+ INDEX(a I_AUD3) */ TO_CHAR(current_timestamp AT TIME ZONE 'GMT', 'YYYY-MM-DD
HH24:MI:SS TZD') AS curr_timestamp, COUNT(userid) AS failed_count
FROM sys.aud$ a
WHERE returncode != 0
and action# between 100 and 102
AND ntimestamp# >= systimestamp at time zone 'GMT' - 30/1440
is it correct way to di it?
could you comment on this ?The query is run by grid Control (or DBConsole) to count the metric related to audit sessions which is ON by default in 11g. To decrease the impact of this query you should purge the aud$ table regularly.
Best way is to use DBMS_AUDIT_MGMT to periodically purge the data older than "whatever date". If you don't need the audit infor, you can simply truncate aud$. -
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. -
SQL Query with a little bit more complicated WHERE clause performance issue
Hello, I have some performance issue in this case:
Very simplified query:
SELECT COUNT(*) FROM Items
WHERE
ConditionA OR
ConditionB OR
ConditionC OR ...
Simply I have to determine how many Items the user has access through some complicated conditions.
When there is a large number of records (100,000+) in the Items table and say ~10 complicated conditions concatenated in WHERE clause, I get the result about 2 seconds in my case. The problem is when very few conditions are met, f.e. when I get only
10 Items from 100,000.
How can I improve the performace in this "Get my items" case?
Additional information:
the query is generated by EF 6.1
MS SQL 2012 Express
Here is the main part of the real SQL Execution Plan:Can you post table/index DDL? Query?
Sample query:
exec sp_executesql N'SELECT
[GroupBy1].[A1] AS [C1]
FROM ( SELECT
COUNT(1) AS [A1]
FROM [dbo].[Tickets] AS [Extent1]
LEFT OUTER JOIN [dbo].[Services] AS [Extent2] ON [Extent1].[ServiceId] = [Extent2].[Id]
WHERE (@p__linq__0 = 1) OR ([Extent1].[SubmitterKey] = @p__linq__1) OR ([Extent1].[OperatorKey] = @p__linq__2) OR (([Extent1].[OperatorKey] IS NULL) AND (@p__linq__2 IS NULL)) OR ([Extent1].[SolverKey] = @p__linq__3) OR (([Extent1].[SolverKey] IS NULL) AND (@p__linq__3 IS NULL)) OR ([Extent1].[Incident2ndLineSupportKey] = @p__linq__4) OR (([Extent1].[Incident2ndLineSupportKey] IS NULL) AND (@p__linq__4 IS NULL)) OR ((@p__linq__5 = 1) AND ((1 = CAST( [Extent1].[TicketType] AS int)) OR ((@p__linq__6 = 1) AND (((2 = CAST( [Extent1].[TicketType] AS int)) AND (([Extent2].[IncidentManager] = @p__linq__7) OR (([Extent2].[IncidentManager] IS NULL) AND (@p__linq__7 IS NULL)))) OR ((3 = CAST( [Extent1].[TicketType] AS int)) AND (([Extent2].[ServiceRequestManager] = @p__linq__8) OR (([Extent2].[ServiceRequestManager] IS NULL) AND (@p__linq__8 IS NULL)))) OR ((4 = CAST( [Extent1].[TicketType] AS int)) AND (([Extent2].[ProblemManager] = @p__linq__9) OR (([Extent2].[ProblemManager] IS NULL) AND (@p__linq__9 IS NULL)))) OR ((5 = CAST( [Extent1].[TicketType] AS int)) AND (([Extent2].[ChangeManager] = @p__linq__10) OR (([Extent2].[ChangeManager] IS NULL) AND (@p__linq__10 IS NULL)))))) OR ( EXISTS (SELECT
1 AS [C1]
FROM [dbo].[ServiceDeputyManagers] AS [Extent3]
WHERE ([Extent1].[ServiceId] = [Extent3].[ServiceId]) AND ( CAST( [Extent3].[TicketType] AS int) = CAST( [Extent1].[TicketType] AS int)) AND ([Extent3].[UserProviderKey] = @p__linq__11)
)))) OR ((2 = CAST( [Extent1].[TicketType] AS int)) AND (([Extent2].[AllowAccessToOtherOperatorsIncidents] = 1) OR ((201 = [Extent1].[TicketStateValue]) AND ([Extent2].[WfDisableIncidentTakeFromQueueAction] <> cast(1 as bit)))) AND ([Extent2].[Incident1stLineSupportLimitedAccess] <> cast(1 as bit))) OR ((3 = CAST( [Extent1].[TicketType] AS int)) AND (([Extent2].[AllowAccessToOtherOperatorsServiceRequests] = 1) OR ((301 = [Extent1].[TicketStateValue]) AND ([Extent2].[WfDisableServiceRequestTakeFromQueueAction] <> cast(1 as bit)))) AND ([Extent2].[ServiceRequestLimitedAccess] <> cast(1 as bit))) OR ((4 = CAST( [Extent1].[TicketType] AS int)) AND ([Extent2].[AllowAccessToOtherOperatorsProblems] = 1) AND ([Extent2].[ProblemLimitedAccess] <> cast(1 as bit))) OR ((5 = CAST( [Extent1].[TicketType] AS int)) AND (([Extent2].[AllowAccessToOtherOperatorsChanges] = 1) OR ((501 = [Extent1].[TicketStateValue]) AND ([Extent2].[WfDisableChangeTakeFromQueueAction] <> cast(1 as bit)))) AND ([Extent2].[ChangeLimitedAccess] <> cast(1 as bit))) OR ((2 = CAST( [Extent1].[TicketType] AS int)) AND (([Extent2].[AllowAccessToOtherOperatorsIncidents] = 1) OR ((201 = [Extent1].[TicketStateValue]) AND ([Extent2].[WfDisableIncidentTakeFromQueueAction] <> cast(1 as bit)))) AND (( EXISTS (SELECT
1 AS [C1]
FROM [dbo].[ServiceOperators] AS [Extent4]
WHERE ([Extent1].[ServiceId] = [Extent4].[ServiceId]) AND (2 = CAST( [Extent4].[TicketType] AS int)) AND ([Extent4].[UserProviderKey] = @p__linq__12) AND (1 = [Extent4].[SupportLine])
)) OR ( EXISTS (SELECT
1 AS [C1]
FROM [dbo].[OperatorGroupUsers] AS [Extent5]
WHERE ([Extent5].[UserProviderKey] = @p__linq__13) AND ( EXISTS (SELECT
1 AS [C1]
FROM [dbo].[ServiceOperatorGroups] AS [Extent6]
WHERE ([Extent6].[ServiceId] = [Extent1].[ServiceId]) AND (2 = CAST( [Extent6].[TicketType] AS int)) AND (1 = [Extent6].[SupportLine]) AND ([Extent6].[OperatorGroupId] = [Extent5].[OperatorGroupId])
)))) OR ((2 = CAST( [Extent1].[TicketType] AS int)) AND ([Extent1].[IncidentFunctionEscalatedTo2ndLineSupport] = 1) AND ([Extent1].[Incident2ndLineSupportKey] IS NULL) AND (([Extent2].[Incident2ndLineSupportLimitedAccess] <> cast(1 as bit)) OR ( EXISTS (SELECT
1 AS [C1]
FROM [dbo].[ServiceOperators] AS [Extent7]
WHERE ([Extent1].[ServiceId] = [Extent7].[ServiceId]) AND (2 = CAST( [Extent7].[TicketType] AS int)) AND ([Extent7].[UserProviderKey] = @p__linq__14) AND (2 = [Extent7].[SupportLine])
)) OR ( EXISTS (SELECT
1 AS [C1]
FROM [dbo].[OperatorGroupUsers] AS [Extent8]
WHERE ([Extent8].[UserProviderKey] = @p__linq__15) AND ( EXISTS (SELECT
1 AS [C1]
FROM [dbo].[ServiceOperatorGroups] AS [Extent9]
WHERE ([Extent9].[ServiceId] = [Extent1].[ServiceId]) AND (2 = CAST( [Extent9].[TicketType] AS int)) AND (2 = [Extent9].[SupportLine]) AND ([Extent9].[OperatorGroupId] = [Extent8].[OperatorGroupId])
)))) OR ((3 = CAST( [Extent1].[TicketType] AS int)) AND (([Extent2].[AllowAccessToOtherOperatorsServiceRequests] = 1) OR ((301 = CAST( [Extent1].[TicketState] AS int)) AND ([Extent2].[WfDisableServiceRequestTakeFromQueueAction] <> cast(1 as bit)))) AND (( EXISTS (SELECT
1 AS [C1]
FROM [dbo].[ServiceOperators] AS [Extent10]
WHERE ([Extent1].[ServiceId] = [Extent10].[ServiceId]) AND (3 = CAST( [Extent10].[TicketType] AS int)) AND ([Extent10].[UserProviderKey] = @p__linq__16)
)) OR ( EXISTS (SELECT
1 AS [C1]
FROM [dbo].[OperatorGroupUsers] AS [Extent11]
WHERE ([Extent11].[UserProviderKey] = @p__linq__17) AND ( EXISTS (SELECT
1 AS [C1]
FROM [dbo].[ServiceOperatorGroups] AS [Extent12]
WHERE ([Extent12].[ServiceId] = [Extent1].[ServiceId]) AND (3 = CAST( [Extent12].[TicketType] AS int)) AND ([Extent12].[OperatorGroupId] = [Extent11].[OperatorGroupId])
)))) OR ((4 = CAST( [Extent1].[TicketType] AS int)) AND ([Extent2].[AllowAccessToOtherOperatorsProblems] = 1) AND (( EXISTS (SELECT
1 AS [C1]
FROM [dbo].[ServiceOperators] AS [Extent13]
WHERE ([Extent1].[ServiceId] = [Extent13].[ServiceId]) AND (4 = CAST( [Extent13].[TicketType] AS int)) AND ([Extent13].[UserProviderKey] = @p__linq__18)
)) OR ( EXISTS (SELECT
1 AS [C1]
FROM [dbo].[OperatorGroupUsers] AS [Extent14]
WHERE ([Extent14].[UserProviderKey] = @p__linq__19) AND ( EXISTS (SELECT
1 AS [C1]
FROM [dbo].[ServiceOperatorGroups] AS [Extent15]
WHERE ([Extent15].[ServiceId] = [Extent1].[ServiceId]) AND (4 = CAST( [Extent15].[TicketType] AS int)) AND ([Extent15].[OperatorGroupId] = [Extent14].[OperatorGroupId])
)))) OR ((5 = CAST( [Extent1].[TicketType] AS int)) AND (([Extent2].[AllowAccessToOtherOperatorsChanges] = 1) OR ((501 = [Extent1].[TicketStateValue]) AND ([Extent2].[WfDisableChangeTakeFromQueueAction] <> cast(1 as bit)))) AND (( EXISTS (SELECT
1 AS [C1]
FROM [dbo].[ServiceOperators] AS [Extent16]
WHERE ([Extent1].[ServiceId] = [Extent16].[ServiceId]) AND (5 = CAST( [Extent16].[TicketType] AS int)) AND ([Extent16].[UserProviderKey] = @p__linq__20)
)) OR ( EXISTS (SELECT
1 AS [C1]
FROM [dbo].[OperatorGroupUsers] AS [Extent17]
WHERE ([Extent17].[UserProviderKey] = @p__linq__21) AND ( EXISTS (SELECT
1 AS [C1]
FROM [dbo].[ServiceOperatorGroups] AS [Extent18]
WHERE ([Extent18].[ServiceId] = [Extent1].[ServiceId]) AND (5 = CAST( [Extent18].[TicketType] AS int)) AND ([Extent18].[OperatorGroupId] = [Extent17].[OperatorGroupId])
)))) OR ( EXISTS (SELECT
1 AS [C1]
FROM [dbo].[TicketInvitations] AS [Extent19]
WHERE ([Extent19].[TicketId] = [Extent1].[Id]) AND (([Extent19].[InvitedUserProviderKey] = @p__linq__22) OR (([Extent19].[InvitedUserProviderKey] IS NULL) AND (@p__linq__22 IS NULL)))
)) OR ( EXISTS (SELECT
1 AS [C1]
FROM (SELECT
[Extent20].[CustomerId] AS [CustomerId]
FROM [dbo].[CustomerUsers] AS [Extent20]
WHERE ([Extent20].[UserProviderKey] = @p__linq__23) AND ([Extent20].[CanAccessOthersTickets] = 1)
INTERSECT
SELECT
[Extent21].[CustomerId] AS [CustomerId]
FROM [dbo].[CustomerUsers] AS [Extent21]
WHERE [Extent21].[UserProviderKey] = [Extent1].[SubmitterKey]) AS [Intersect1]
)) OR ( EXISTS (SELECT
1 AS [C1]
FROM (SELECT
[Extent22].[InternalGroupId] AS [InternalGroupId]
FROM [dbo].[InternalGroupUsers] AS [Extent22]
WHERE ([Extent22].[UserProviderKey] = @p__linq__24) AND ([Extent22].[CanAccessOthersTickets] = 1)
INTERSECT
SELECT
[Extent23].[InternalGroupId] AS [InternalGroupId]
FROM [dbo].[InternalGroupUsers] AS [Extent23]
WHERE [Extent23].[UserProviderKey] = [Extent1].[SubmitterKey]) AS [Intersect2]
) AS [GroupBy1]',N'@p__linq__0 bit,@p__linq__1 varchar(8000),@p__linq__2 varchar(8000),@p__linq__3 varchar(8000),@p__linq__4 varchar(8000),@p__linq__5 bit,@p__linq__6 bit,@p__linq__7 varchar(8000),@p__linq__8 varchar(8000),@p__linq__9 varchar(8000),@p__linq__10 varchar(8000),@p__linq__11 varchar(8000),@p__linq__12 varchar(8000),@p__linq__13 varchar(8000),@p__linq__14 varchar(8000),@p__linq__15 varchar(8000),@p__linq__16 varchar(8000),@p__linq__17 varchar(8000),@p__linq__18 varchar(8000),@p__linq__19 varchar(8000),@p__linq__20 varchar(8000),@p__linq__21 varchar(8000),@p__linq__22 varchar(8000),@p__linq__23 varchar(8000),@p__linq__24 varchar(8000)',@p__linq__0=0,@p__linq__1='31555851-b89d-4a15-bb05-5a6fd42f9552',@p__linq__2='31555851-b89d-4a15-bb05-5a6fd42f9552',@p__linq__3='31555851-b89d-4a15-bb05-5a6fd42f9552',@p__linq__4='31555851-b89d-4a15-bb05-5a6fd42f9552',@p__linq__5=1,@p__linq__6=0,@p__linq__7='31555851-b89d-4a15-bb05-5a6fd42f9552',@p__linq__8='31555851-b89d-4a15-bb05-5a6fd42f9552',@p__linq__9='31555851-b89d-4a15-bb05-5a6fd42f9552',@p__linq__10='31555851-b89d-4a15-bb05-5a6fd42f9552',@p__linq__11='31555851-b89d-4a15-bb05-5a6fd42f9552',@p__linq__12='31555851-b89d-4a15-bb05-5a6fd42f9552',@p__linq__13='31555851-b89d-4a15-bb05-5a6fd42f9552',@p__linq__14='31555851-b89d-4a15-bb05-5a6fd42f9552',@p__linq__15='31555851-b89d-4a15-bb05-5a6fd42f9552',@p__linq__16='31555851-b89d-4a15-bb05-5a6fd42f9552',@p__linq__17='31555851-b89d-4a15-bb05-5a6fd42f9552',@p__linq__18='31555851-b89d-4a15-bb05-5a6fd42f9552',@p__linq__19='31555851-b89d-4a15-bb05-5a6fd42f9552',@p__linq__20='31555851-b89d-4a15-bb05-5a6fd42f9552',@p__linq__21='31555851-b89d-4a15-bb05-5a6fd42f9552',@p__linq__22='31555851-b89d-4a15-bb05-5a6fd42f9552',@p__linq__23='31555851-b89d-4a15-bb05-5a6fd42f9552',@p__linq__24='31555851-b89d-4a15-bb05-5a6fd42f9552'
Generated DDL for related tables: (indexes are primary on PKs and FKs)
CREATE TABLE [dbo].[CustomerUsers](
[UserProviderKey] [varchar](184) NOT NULL,
[CustomerId] [int] NOT NULL,
[CanAccessOthersTickets] [bit] NOT NULL,
CONSTRAINT [PK_dbo.CustomerUsers] PRIMARY KEY CLUSTERED
[UserProviderKey] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY]
GO
SET ANSI_PADDING OFF
GO
/****** Object: Table [dbo].[InternalGroupUsers] Script Date: 7.5.2014 8:39:38 ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
SET ANSI_PADDING ON
GO
CREATE TABLE [dbo].[InternalGroupUsers](
[UserProviderKey] [varchar](184) NOT NULL,
[InternalGroupId] [int] NOT NULL,
[CanAccessOthersTickets] [bit] NOT NULL,
CONSTRAINT [PK_dbo.InternalGroupUsers] PRIMARY KEY CLUSTERED
[UserProviderKey] ASC,
[InternalGroupId] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY]
GO
SET ANSI_PADDING OFF
GO
/****** Object: Table [dbo].[OperatorGroupUsers] Script Date: 7.5.2014 8:39:38 ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
SET ANSI_PADDING ON
GO
CREATE TABLE [dbo].[OperatorGroupUsers](
[UserProviderKey] [varchar](184) NOT NULL,
[OperatorGroupId] [int] NOT NULL,
CONSTRAINT [PK_dbo.OperatorGroupUsers] PRIMARY KEY CLUSTERED
[UserProviderKey] ASC,
[OperatorGroupId] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY]
GO
SET ANSI_PADDING OFF
GO
/****** Object: Table [dbo].[ServiceDeputyManagers] Script Date: 7.5.2014 8:39:38 ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
SET ANSI_PADDING ON
GO
CREATE TABLE [dbo].[ServiceDeputyManagers](
[UserProviderKey] [varchar](184) NOT NULL,
[ServiceId] [int] NOT NULL,
[TicketType] [int] NOT NULL,
CONSTRAINT [PK_dbo.ServiceDeputyManagers] PRIMARY KEY CLUSTERED
[UserProviderKey] ASC,
[ServiceId] ASC,
[TicketType] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY]
GO
SET ANSI_PADDING OFF
GO
/****** Object: Table [dbo].[ServiceOperatorGroups] Script Date: 7.5.2014 8:39:38 ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[ServiceOperatorGroups](
[ServiceId] [int] NOT NULL,
[OperatorGroupId] [int] NOT NULL,
[TicketTypeValue] [int] NOT NULL,
[SupportLine] [int] NOT NULL,
[TicketType] [int] NOT NULL,
CONSTRAINT [PK_dbo.ServiceOperatorGroups] PRIMARY KEY CLUSTERED
[ServiceId] ASC,
[OperatorGroupId] ASC,
[TicketTypeValue] ASC,
[SupportLine] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY]
GO
/****** Object: Table [dbo].[ServiceOperators] Script Date: 7.5.2014 8:39:38 ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
SET ANSI_PADDING ON
GO
CREATE TABLE [dbo].[ServiceOperators](
[UserProviderKey] [varchar](184) NOT NULL,
[ServiceId] [int] NOT NULL,
[TicketTypeValue] [int] NOT NULL,
[SupportLine] [int] NOT NULL,
[TicketType] [int] NOT NULL,
CONSTRAINT [PK_dbo.ServiceOperators] PRIMARY KEY CLUSTERED
[UserProviderKey] ASC,
[ServiceId] ASC,
[TicketTypeValue] ASC,
[SupportLine] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY]
GO
SET ANSI_PADDING OFF
GO
/****** Object: Table [dbo].[Services] Script Date: 7.5.2014 8:39:38 ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
SET ANSI_PADDING ON
GO
CREATE TABLE [dbo].[Services](
[Id] [int] IDENTITY(1,1) NOT NULL,
[ParentId] [int] NULL,
[Name] [nvarchar](256) NOT NULL,
[Description] [nvarchar](max) NULL,
[Disabled] [bit] NOT NULL,
[NewTicketLimitedAccess] [bit] NOT NULL,
[Incident1stLineSupportLimitedAccess] [bit] NOT NULL,
[Incident2ndLineSupportLimitedAccess] [bit] NOT NULL,
[ServiceRequestLimitedAccess] [bit] NOT NULL,
[ProblemLimitedAccess] [bit] NOT NULL,
[ServiceRequestManager] [varchar](184) NOT NULL,
[IncidentManager] [varchar](184) NOT NULL,
[ProblemManager] [varchar](184) NOT NULL,
[Deleted] [bit] NOT NULL,
[WfDisableIncidentAssignedState] [bit] NOT NULL,
[WfDisableIncidentConfirmedState] [bit] NOT NULL,
[WfDisableIncidentTakeFromQueueAction] [bit] NOT NULL,
[WfDisableIncidentFinishSolutionAction] [bit] NOT NULL,
[WfDisableServiceRequestAssignedState] [bit] NOT NULL,
[WfDisableServiceRequestConfirmedState] [bit] NOT NULL,
[WfDisableServiceRequestTakeFromQueueAction] [bit] NOT NULL,
[WfDisableServiceRequestFinishSolutionAction] [bit] NOT NULL,
[WfDisableServiceRequestPostponeAction] [bit] NOT NULL,
[ChangeLimitedAccess] [bit] NOT NULL,
[ChangeManager] [varchar](184) NOT NULL,
[WfDisableChangeTakeFromQueueAction] [bit] NOT NULL,
[WfDisableChangeAssignedState] [bit] NOT NULL,
[WfDisableChangeStartPreparationAction] [bit] NOT NULL,
[IsDepartment] [bit] NOT NULL,
[InheritsFromDepartment] [bit] NOT NULL,
[AllowSelectSolverBySubmitterForIncidents] [bit] NOT NULL,
[AllowSelectSolverBySubmitterForServiceRequests] [bit] NOT NULL,
[AllowSelectSolverBySubmitterForProblems] [bit] NOT NULL,
[AllowSelectSolverBySubmitterForChanges] [bit] NOT NULL,
[AllowAccessToOtherOperatorsIncidents] [bit] NOT NULL,
[AllowAccessToOtherOperatorsServiceRequests] [bit] NOT NULL,
[AllowAccessToOtherOperatorsProblems] [bit] NOT NULL,
[AllowAccessToOtherOperatorsChanges] [bit] NOT NULL,
[AllowChangeDeadlineForIncidents] [bit] NOT NULL,
[AllowChangeDeadlineForServiceRequests] [bit] NOT NULL,
[AllowChangeDeadlineForProblems] [bit] NOT NULL,
[AllowChangeDeadlineForChanges] [bit] NOT NULL,
[AllowSelectPriorityForServiceRequests] [bit] NOT NULL,
[WfDisableIncidentCompletedState] [bit] NOT NULL,
[WfDoIncidentCompleteActionBySubmittersMessage] [bit] NOT NULL,
[WfDisableServiceRequestCompletedState] [bit] NOT NULL,
[WfDoServiceRequestCompleteActionBySubmittersMessage] [bit] NOT NULL,
CONSTRAINT [PK_dbo.Services] PRIMARY KEY CLUSTERED
[Id] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY] TEXTIMAGE_ON [PRIMARY]
GO
SET ANSI_PADDING OFF
GO
/****** Object: Table [dbo].[TicketInvitations] Script Date: 7.5.2014 8:39:38 ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
SET ANSI_PADDING ON
GO
CREATE TABLE [dbo].[TicketInvitations](
[Id] [int] IDENTITY(1,1) NOT NULL,
[TicketId] [int] NOT NULL,
[InitiatorUserProviderKey] [varchar](184) NULL,
[InitiatorFullName] [nvarchar](max) NULL,
[InvitedUserProviderKey] [varchar](184) NULL,
[InvitedFullName] [nvarchar](max) NULL,
[Type] [int] NOT NULL,
[CreatedUTC] [datetime] NOT NULL,
CONSTRAINT [PK_dbo.TicketInvitations] PRIMARY KEY CLUSTERED
[Id] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY] TEXTIMAGE_ON [PRIMARY]
GO
SET ANSI_PADDING OFF
GO
/****** Object: Table [dbo].[Tickets] Script Date: 7.5.2014 8:39:38 ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
SET ANSI_PADDING ON
GO
CREATE TABLE [dbo].[Tickets](
[Id] [int] IDENTITY(1,1) NOT NULL,
[ParentId] [int] NULL,
[ServiceId] [int] NULL,
[ServiceMailboxId] [int] NULL,
[TicketTypeValue] [int] NOT NULL,
[TicketTypeIdREF] [int] NOT NULL,
[SubmitterKey] [varchar](184) NOT NULL,
[SubmitterFullName] [nvarchar](256) NULL,
[CustomerId] [int] NULL,
[SolverKey] [varchar](184) NULL,
[SolverFullName] [nvarchar](256) NULL,
[Subject] [nvarchar](max) NULL,
[CreatedUTC] [datetime] NOT NULL,
[Archived] [bit] NOT NULL,
[MarkedAsSolvedUTC] [datetime] NULL,
[ArchivedUTC] [datetime] NULL,
[TicketSourceValue] [int] NOT NULL,
[OperatorKey] [varchar](184) NULL,
[DeadlineUTC] [datetime] NULL,
[DeadlineLastNotificatedPercentage] [int] NULL,
[UrgencyValue] [int] NULL,
[ImpactValue] [int] NULL,
[PriorityValue] [int] NULL,
[TicketStateValue] [int] NOT NULL,
[IncidentFunctionEscalatedTo2ndLineSupport] [bit] NOT NULL,
[Incident2ndLineSupportKey] [varchar](184) NULL,
[Incident2ndLineSupportFullName] [nvarchar](max) NULL,
[TicketType] [int] NOT NULL,
[Source] [int] NOT NULL,
[TicketState] [int] NOT NULL,
[Urgency] [int] NULL,
[Impact] [int] NULL,
[TicketSummaryState] [int] NOT NULL,
[ResolutionText] [nvarchar](max) NULL,
[ResolutionModifiedUTC] [datetime] NULL,
[ResolutionEdited] [bit] NOT NULL,
[ResolutionUserProviderKey] [varchar](184) NULL,
[ResolutionFullName] [nvarchar](max) NULL,
[TicketSubType] [int] NULL,
[ChangeRiskProbabilityValue] [int] NULL,
[ChangeImpactValue] [int] NULL,
[ChangeRiskCategoryValue] [int] NULL,
[RfcText] [nvarchar](max) NULL,
[RfcModifiedUTC] [datetime] NULL,
[RfcEdited] [bit] NOT NULL,
[RfcUserProviderKey] [varchar](184) NULL,
[RfcFullName] [nvarchar](max) NULL,
[ManualDeadline] [bit] NOT NULL,
[ContactInformation] [nvarchar](256) NULL,
[Imported] [bit] NOT NULL,
[ForceClosed] [bit] NOT NULL,
CONSTRAINT [PK_dbo.Tickets] PRIMARY KEY CLUSTERED
[Id] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY] TEXTIMAGE_ON [PRIMARY]
GO
SET ANSI_PADDING OFF
GO
/****** Object: Index [IX_CustomerId] Script Date: 7.5.2014 8:39:38 ******/
CREATE NONCLUSTERED INDEX [IX_CustomerId] ON [dbo].[CustomerUsers]
[CustomerId] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
GO
/****** Object: Index [IX_InternalGroupId] Script Date: 7.5.2014 8:39:38 ******/
CREATE NONCLUSTERED INDEX [IX_InternalGroupId] ON [dbo].[InternalGroupUsers]
[InternalGroupId] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
GO
/****** Object: Index [IX_OperatorGroupId] Script Date: 7.5.2014 8:39:38 ******/
CREATE NONCLUSTERED INDEX [IX_OperatorGroupId] ON [dbo].[OperatorGroupUsers]
[OperatorGroupId] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
GO
/****** Object: Index [IX_ServiceId] Script Date: 7.5.2014 8:39:38 ******/
CREATE NONCLUSTERED INDEX [IX_ServiceId] ON [dbo].[ServiceDeputyManagers]
[ServiceId] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
GO
/****** Object: Index [IX_OperatorGroupId] Script Date: 7.5.2014 8:39:38 ******/
CREATE NONCLUSTERED INDEX [IX_OperatorGroupId] ON [dbo].[ServiceOperatorGroups]
[OperatorGroupId] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
GO
/****** Object: Index [IX_ServiceId] Script Date: 7.5.2014 8:39:38 ******/
CREATE NONCLUSTERED INDEX [IX_ServiceId] ON [dbo].[ServiceOperatorGroups]
[ServiceId] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
GO
/****** Object: Index [IX_ServiceId] Script Date: 7.5.2014 8:39:38 ******/
CREATE NONCLUSTERED INDEX [IX_ServiceId] ON [dbo].[ServiceOperators]
[ServiceId] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
GO
/****** Object: Index [IX_ParentId] Script Date: 7.5.2014 8:39:38 ******/
CREATE NONCLUSTERED INDEX [IX_ParentId] ON [dbo].[Services]
[ParentId] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
GO
/****** Object: Index [IX_TicketId] Script Date: 7.5.2014 8:39:38 ******/
CREATE NONCLUSTERED INDEX [IX_TicketId] ON [dbo].[TicketInvitations]
[TicketId] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
GO
SET ANSI_PADDING ON
GO
/****** Object: Index [IX_TicketInvitations_InvitedUserProviderKey_TicketId] Script Date: 7.5.2014 8:39:38 ******/
CREATE UNIQUE NONCLUSTERED INDEX [IX_TicketInvitations_InvitedUserProviderKey_TicketId] ON [dbo].[TicketInvitations]
[InvitedUserProviderKey] ASC,
[TicketId] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, IGNORE_DUP_KEY = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
GO
/****** Object: Index [IX_CustomerId] Script Date: 7.5.2014 8:39:38 ******/
CREATE NONCLUSTERED INDEX [IX_CustomerId] ON [dbo].[Tickets]
[CustomerId] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
GO
/****** Object: Index [IX_ParentId] Script Date: 7.5.2014 8:39:38 ******/
CREATE NONCLUSTERED INDEX [IX_ParentId] ON [dbo].[Tickets]
[ParentId] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
GO
/****** Object: Index [IX_ServiceId] Script Date: 7.5.2014 8:39:38 ******/
CREATE NONCLUSTERED INDEX [IX_ServiceId] ON [dbo].[Tickets]
[ServiceId] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
GO
/****** Object: Index [IX_ServiceMailboxId] Script Date: 7.5.2014 8:39:38 ******/
CREATE NONCLUSTERED INDEX [IX_ServiceMailboxId] ON [dbo].[Tickets]
[ServiceMailboxId] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
GO
SET ANSI_PADDING ON
GO
/****** Object: Index [IX_SolverFullName] Script Date: 7.5.2014 8:39:38 ******/
CREATE NONCLUSTERED INDEX [IX_SolverFullName] ON [dbo].[Tickets]
[SolverFullName] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
GO
SET ANSI_PADDING ON
GO
/****** Object: Index [IX_SolverKey] Script Date: 7.5.2014 8:39:38 ******/
CREATE NONCLUSTERED INDEX [IX_SolverKey] ON [dbo].[Tickets]
[SolverKey] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
GO
SET ANSI_PADDING ON
GO
/****** Object: Index [IX_SubmitterFullName] Script Date: 7.5.2014 8:39:38 ******/
CREATE NONCLUSTERED INDEX [IX_SubmitterFullName] ON [dbo].[Tickets]
[SubmitterFullName] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
GO
SET ANSI_PADDING ON
GO
/****** Object: Index [IX_SubmitterKey] Script Date: 7.5.2014 8:39:38 ******/
CREATE NONCLUSTERED INDEX [IX_SubmitterKey] ON [dbo].[Tickets]
[SubmitterKey] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
GO
/****** Object: Index [IX_Tickets_TicketType_TicketTypeIdREF] Script Date: 7.5.2014 8:39:38 ******/
CREATE UNIQUE NONCLUSTERED INDEX [IX_Tickets_TicketType_TicketTypeIdREF] ON [dbo].[Tickets]
[TicketType] ASC,
[TicketTypeIdREF] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, IGNORE_DUP_KEY = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
GO
ALTER TABLE [dbo].[CustomerUsers] WITH CHECK ADD CONSTRAINT [FK_dbo.CustomerUsers_dbo.Customers_CustomerId] FOREIGN KEY([CustomerId])
REFERENCES [dbo].[Customers] ([Id])
ON DELETE CASCADE
GO
ALTER TABLE [dbo].[CustomerUsers] CHECK CONSTRAINT [FK_dbo.CustomerUsers_dbo.Customers_CustomerId]
GO
ALTER TABLE [dbo].[InternalGroupUsers] WITH CHECK ADD CONSTRAINT [FK_dbo.InternalGroupUsers_dbo.InternalGroups_InternalGroupId] FOREIGN KEY([InternalGroupId])
REFERENCES [dbo].[InternalGroups] ([Id])
ON DELETE CASCADE
GO
ALTER TABLE [dbo].[InternalGroupUsers] CHECK CONSTRAINT [FK_dbo.InternalGroupUsers_dbo.InternalGroups_InternalGroupId]
GO
ALTER TABLE [dbo].[OperatorGroupUsers] WITH CHECK ADD CONSTRAINT [FK_dbo.OperatorGroupUsers_dbo.OperatorGroups_OperatorGroupId] FOREIGN KEY([OperatorGroupId])
REFERENCES [dbo].[OperatorGroups] ([Id])
ON DELETE CASCADE
GO
ALTER TABLE [dbo].[OperatorGroupUsers] CHECK CONSTRAINT [FK_dbo.OperatorGroupUsers_dbo.OperatorGroups_OperatorGroupId]
GO
ALTER TABLE [dbo].[ServiceDeputyManagers] WITH CHECK ADD CONSTRAINT [FK_dbo.ServiceDeputyManagers_dbo.Services_ServiceId] FOREIGN KEY([ServiceId])
REFERENCES [dbo].[Services] ([Id])
ON DELETE CASCADE
GO
ALTER TABLE [dbo].[ServiceDeputyManagers] CHECK CONSTRAINT [FK_dbo.ServiceDeputyManagers_dbo.Services_ServiceId]
GO
ALTER TABLE [dbo].[ServiceOperatorGroups] WITH CHECK ADD CONSTRAINT [FK_dbo.ServiceOperatorGroups_dbo.OperatorGroups_OperatorGroupId] FOREIGN KEY([OperatorGroupId])
REFERENCES [dbo].[OperatorGroups] ([Id])
ON DELETE CASCADE
GO
ALTER TABLE [dbo].[ServiceOperatorGroups] CHECK CONSTRAINT [FK_dbo.ServiceOperatorGroups_dbo.OperatorGroups_OperatorGroupId]
GO
ALTER TABLE [dbo].[ServiceOperatorGroups] WITH CHECK ADD CONSTRAINT [FK_dbo.ServiceOperatorGroups_dbo.Services_ServiceId] FOREIGN KEY([ServiceId])
REFERENCES [dbo].[Services] ([Id])
ON DELETE CASCADE
GO
ALTER TABLE [dbo].[ServiceOperatorGroups] CHECK CONSTRAINT [FK_dbo.ServiceOperatorGroups_dbo.Services_ServiceId]
GO
ALTER TABLE [dbo].[ServiceOperators] WITH CHECK ADD CONSTRAINT [FK_dbo.ServiceOperators_dbo.Services_ServiceId] FOREIGN KEY([ServiceId])
REFERENCES [dbo].[Services] ([Id])
ON DELETE CASCADE
GO
ALTER TABLE [dbo].[ServiceOperators] CHECK CONSTRAINT [FK_dbo.ServiceOperators_dbo.Services_ServiceId]
GO
ALTER TABLE [dbo].[Services] WITH CHECK ADD CONSTRAINT [FK_dbo.Services_dbo.Services_ParentId] FOREIGN KEY([ParentId])
REFERENCES [dbo].[Services] ([Id])
GO
ALTER TABLE [dbo].[Services] CHECK CONSTRAINT [FK_dbo.Services_dbo.Services_ParentId]
GO
ALTER TABLE [dbo].[TicketInvitations] WITH CHECK ADD CONSTRAINT [FK_dbo.TicketInvitations_dbo.Tickets_TicketId] FOREIGN KEY([TicketId])
REFERENCES [dbo].[Tickets] ([Id])
ON DELETE CASCADE
GO
ALTER TABLE [dbo].[TicketInvitations] CHECK CONSTRAINT [FK_dbo.TicketInvitations_dbo.Tickets_TicketId]
GO
ALTER TABLE [dbo].[Tickets] WITH CHECK ADD CONSTRAINT [FK_dbo.Tickets_dbo.Customers_CustomerId] FOREIGN KEY([CustomerId])
REFERENCES [dbo].[Customers] ([Id])
GO
ALTER TABLE [dbo].[Tickets] CHECK CONSTRAINT [FK_dbo.Tickets_dbo.Customers_CustomerId]
GO
ALTER TABLE [dbo].[Tickets] WITH CHECK ADD CONSTRAINT [FK_dbo.Tickets_dbo.ServiceMailboxes_ServiceMailboxId] FOREIGN KEY([ServiceMailboxId])
REFERENCES [dbo].[ServiceMailboxes] ([Id])
GO
ALTER TABLE [dbo].[Tickets] CHECK CONSTRAINT [FK_dbo.Tickets_dbo.ServiceMailboxes_ServiceMailboxId]
GO
ALTER TABLE [dbo].[Tickets] WITH CHECK ADD CONSTRAINT [FK_dbo.Tickets_dbo.Services_ServiceId] FOREIGN KEY([ServiceId])
REFERENCES [dbo].[Services] ([Id])
GO
ALTER TABLE [dbo].[Tickets] CHECK CONSTRAINT [FK_dbo.Tickets_dbo.Services_ServiceId]
GO
ALTER TABLE [dbo].[Tickets] WITH CHECK ADD CONSTRAINT [FK_dbo.Tickets_dbo.Tickets_ParentId] FOREIGN KEY([ParentId])
REFERENCES [dbo].[Tickets] ([Id])
GO
ALTER TABLE [dbo].[Tickets] CHECK CONSTRAINT [FK_dbo.Tickets_dbo.Tickets_ParentId]
GO -
Performance issue in browsing SSAS cube using Excel for first time after cube refresh
Hello Group Members,
This is a continuation of my earlier blog question -
https://social.msdn.microsoft.com/Forums/en-US/a1e424a2-f102-4165-a597-f464cf03ebb5/cache-and-performance-issue-in-browsing-ssas-cube-using-excel-for-first-time?forum=sqlanalysisservices
As that thread is marked as answer, but my issue is not resolved, I am creating a new thread.
I am facing a cache and performance issue for the first time when I try to open a SSAS cube connection using Excel (using Data tab -> From Other Sources --> From Analysis Services) after daily cube refresh. In end users system (8 GB RAM but around
4GB available RAM), for the first time, it takes 10 minutes to open the cube. From next run onwards, its open up quickly within 10 secs.
We have daily ETL process running in high end servers. The configuration of dedicated SSAS cube server is 8 core, 64GB RAM. In total we have 4 cube DB - out of which for 3 is full cube refresh and 1 is incremental refresh. We have seen after daily cube
refresh, it takes 10 odd minutes to open the cube in end users system. From next time onwards, it opens up really fast with 10 secs. After cube refresh, in server systems (32 GB RAM, around 4GB available RAM), it takes 2 odd minutes to open the cube.
Is there, any way we could reduce the time taken for first attempt ?
As mentioned in my previous thread, we have already implemented a cube wraming cache. But, there is no improvement.
Currently, the cumulative size of the all 4 cube DB are more than 9 GB in Production and each cube DB having 4 individual cubes in average with highest cube DB size is 3.5 GB. Now, the question is how excel works with SSAS cube after
daily cube refresh?
Is it Excel creates a cache of the schema and data after each time cube is refreshed and in doing so it need to download the cube schema in Excel's memory? Now to download the the schema and data of each cube database from server to client, it will take
a significant time based on the bandwidth of the network and connection.
Is it anyway dependent to client system RAM ? Today the bigest cube DB size is 3.5 GB, tomorrow it will be 5-6 GB. Now, though client system RAM is 8 GB, the available or free RAM would be around 4 GB. So, what will happen then ?
Best Regards, Arka Mitra.Could you run the following two DMV queries filling in the name of the cube you're connecting to. Then please post back the row count returned from each of them (by copying them into Excel and counting the rows).
I want to see if this is an issue I've run across before with thousands of dimension attributes and MDSCHEMA_CUBES performance.
select [HIERARCHY_UNIQUE_NAME]
from $system.mdschema_hierarchies
where CUBE_NAME = 'YourCubeName'
select [LEVEL_UNIQUE_NAME]
from $system.mdschema_levels
where CUBE_NAME = 'YourCubeName'
Also, what version of Analysis Services is it? If you connect Object Explorer in Management Studio to SSAS, what's the exact version number it says on the top server node?
http://artisconsulting.com/Blogs/GregGalloway
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