Performance degradation using sql client

We have a SQL 2005 database running on a Windows 2003 Server. We recently added two new data servers and used Windows 2008 Server. We have tried R2 and non-R2, plus Windows 2003 Server, on these two new servers, and in all cases performance
is so slow as to be unacceptable. Clients access the data via a Windows 2008 Server running Terminal Services and hit a custom application. We have tried many different configurations using backup servers, test servers, Windows 7, Windows Vista,
Windows Server et. al. - oddly a very old XP client running the application against a 2003 server performs about 7 times faster than either Windows 7, Windows Vista, or Windows Server clients running same. We have attempted to run the client application
compiled under VS 2005, VS 2008, and VS 2010 - using .NET 2.0 to 4.0, under every configuration we can come up with. What's odd is that neither the client nor the server are taxed for resources. Memory is fine, processor time is fine, network traffic
looks normal. Any ideas would be greatly appreciated.

Hi David,
Sorry for me not getting the complete picture yet although you have tried to clarify. :) Is the operating system on which SQL Server 2005 is installed still 2003?
Not as a solution, but as a test, if you move the application to the local SQL Server and test it there, how does the performance compare to running it remotely? How does this type of execution compare to running it remotely from the 2003 client verses the
2008 client?
How about if you run SSMS on the remote machine on which the application runs slowly, running the same query, is that also slow?
Use the same query for all tests and make sure that the test uses the same parameters passed to it from the application. You can check in a SQL Profiler trace to make sure of the exact query being executed from the application verses SSMS.
Is the performance problem consistent or intermittent? Does it occur with only one user in the application?
Thanks,
Cathy Miller
Microsoft Online Community Support

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Data:
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The ULOG shows that during the night the JSH instances notice a timeout on behalf
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Performing Backup using the Client Tools

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Has this functionality been moved to the web interface?Yes. Use the web based 10g Database Control. Oracle 10g Enterprise Manager Java Console was a temporay tool. As oradba said, it is no longer in 11g.

JDBC, SQL*Net wait interface, performance degradation on 10g vs. 9i

Hi All,
I came across performance issue that I think results from mis-configuration of something between Oracle and JDBC. The logic of my system executes 12 threads in java. Each thread performs simple 'select a,b,c...f from table_xyz' on different tables. (so I have 12 different tables with cardinality from 3 to 48 millions and one working thread per table).
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I'm experiencing performance degradation between execution on Oracle 9i and Oracle 10g of the same java code, on the same machine, on the same data. The difference is enormous, 9i execution takes 26 hours while 10g execution takes 39 hours.
I have collected statspack for 9i and awr report for 10g. Below I've enclosed top wait events for 9i and 10g
===== 9i ===================
Avg
Total Wait wait Waits
Event Waits Timeouts Time (s) (ms) /txn
db file sequential read 22,939,988 0 6,240 0 0.7
control file parallel write 6,152 0 296 48 0.0
SQL*Net more data to client 2,877,154 0 280 0 0.1
db file scattered read 26,842 0 91 3 0.0
log file parallel write 3,528 0 83 23 0.0
latch free 94,845 0 50 1 0.0
process startup 93 0 5 50 0.0
log file sync 34 0 2 46 0.0
log file switch completion 2 0 0 215 0.0
db file single write 9 0 0 33 0.0
control file sequential read 4,912 0 0 0 0.0
wait list latch free 15 0 0 12 0.0
LGWR wait for redo copy 84 0 0 1 0.0
log file single write 2 0 0 18 0.0
async disk IO 263 0 0 0 0.0
direct path read 2,058 0 0 0 0.0
slave TJ process wait 1 1 0 12 0.0
===== 10g ==================
Avg
%Time Total Wait wait Waits
Event Waits -outs Time (s) (ms) /txn
db file scattered read 268,314 .0 2,776 10 0.0
SQL*Net message to client 278,082,276 .0 813 0 7.1
io done 20,715 .0 457 22 0.0
control file parallel write 10,971 .0 336 31 0.0
db file parallel write 15,904 .0 294 18 0.0
db file sequential read 66,266 .0 257 4 0.0
log file parallel write 3,510 .0 145 41 0.0
SQL*Net more data to client 2,221,521 .0 102 0 0.1
SGA: allocation forcing comp 2,489 99.9 27 11 0.0
log file sync 564 .0 23 41 0.0
os thread startup 176 4.0 19 106 0.0
latch: shared pool 372 .0 11 29 0.0
latch: library cache 537 .0 5 10 0.0
rdbms ipc reply 57 .0 3 49 0.0
log file switch completion 5 40.0 3 552 0.0
latch free 4,141 .0 2 0 0.0
I put full blame for the slowdown on SQL*Net message to client wait event. All I could find about this event is that it is a network related problem. I assume it would be true if database and client were on different machines.. However in my case they are on them very same machine.
I'd be very very grateful if someone could point me in the right direction, i.e. give a hint what statistics should I analyze further? what might cause this event to appear? why probable cause (that is said be outside db) affects only 10g instance?
Thanks in advance,
Rafi.

Hi Steven,
Thanks for the input. It's a fact that I did not gather statistics on my tables. My understanding is that statistics are useful for queries more complex than simple select * from table_xxx. In my case tables don't have indexes. There's no filtering condition as well. Full table scan is what I actually want as all software logic is inside the java code.
Explain plans are as follows:
======= 10g ================================
PLAN_TABLE_OUTPUT
Plan hash value: 1141003974
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 1 | 259 | 2 (0)| 00:00:01 |
| 1 | TABLE ACCESS FULL| xxx | 1 | 259 | 2 (0)| 00:00:01 |
In sqlplus I get:
SQL> set autotrace traceonly explain statistics;
SQL> select * from xxx;
36184384 rows selected.
Elapsed: 00:38:44.35
Execution Plan
Plan hash value: 1141003974
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 1 | 259 | 2 (0)| 00:00:01 |
| 1 | TABLE ACCESS FULL| xxx | 1 | 259 | 2 (0)| 00:00:01 |
Statistics
1 recursive calls
0 db block gets
3339240 consistent gets
981517 physical reads
116 redo size
26535700 bytes received via SQL*Net from client
2412294 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
36184384 rows processed
======= 9i =================================
PLAN_TABLE_OUTPUT
| Id | Operation | Name | Rows | Bytes | Cost |
| 0 | SELECT STATEMENT | | | | |
| 1 | TABLE ACCESS FULL | xxx | | | |
Note: rule based optimization
In sqlplus I get:
SQL> set autotrace traceonly explain statistics;
SQL> select * from xxx;
36184384 rows selected.
Elapsed: 00:17:43.06
Execution Plan
0 SELECT STATEMENT Optimizer=CHOOSE
1 0 TABLE ACCESS (FULL) OF 'xxx'
Statistics
0 recursive calls
1 db block gets
3306118 consistent gets
957515 physical reads
100 redo size
23659424 bytes sent via SQL*Net to client
26535867 bytes received via SQL*Net from client
2412294 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
36184384 rows processed
Thanks for pointing me difference in table scans. I infer that 9i is doing single-block full table scan (db file sequential read) while 10g is using multi-block full table scan (db file scattered read).
I now have theory that 9i is faster because sequential reads use continuous buffer space while scattered reads use discontinuous buffer space. Since I'm accessing data 'row by row' in jdbc 10g might have an overhead in providing data from discontinuous buffer space. This overhead shows itself as SQL*Net message to client wait. Is that making any sense?
Is there any way I could force 10g (i.e. with hint) to use sequential reads instead of scattered reads for full table scan?
I'll experiment with FTS tuning in 10g by enabling automatic multi-block reads tuning (i.e. db_file_multiblock_read_count=0 instead of 32 as it is now). I'll also check if response time improves after statistics are gathered.
Please advice if you have any other ideas.
Thanks & regards,
Rafi.

Performance degradation in pl/sql parsing

We are trying to use xml pl/sql parser and noticed performance degradation as we run multiple times. We zeroed into the following clause:
doc := xmlparser.getDocument(p);
The first time the procedure is run the elapsed time at sqlplus is something like .45sec, but as we run repeatedly in the same session the elapsed time keeps on increasing by .02 seconds. If we log out and start fresh, we start again from .45sec.
We noticed similar degradation with
p := xmlparser.newParser;
but we got around by making the 'p' variable as package variable, initializing it once and using the same for all invocations.
Any suggestions?
Thank you.

Can I enhance the PL/SQL code for better performance ? Probably you can enhance it.
or, is this OK to take so long to process these many rows? It should take a few minutes, not several hours.
But please provide some more details like your database version etc.
I suggest to TRACE the session that executes the PL/SQL code, with WAIT events, so you'll see where and on what time is spent, you'll identify your 'problem statements very quickly' (after you or your DBA have TKPROF'ed the trace file).
SQL> alter session set events '10046 trace name context forever, level 12';
SQL> execute your PL/SQL code here
SQL> exitWill give you a .trc file in your udump directory on the server.
http://www.oracle-base.com/articles/10g/SQLTrace10046TrcsessAndTkprof10g.php
Also this informative thread can give you more ideas:
HOW TO: Post a SQL statement tuning request - template posting
as well as doing a search on 10046 at AskTom, http://asktom.oracle.com will give you more examples.
and reading Oracle's Performance Tuning Guide: http://www.oracle.com/pls/db102/to_toc?pathname=server.102%2Fb14211%2Ftoc.htm&remark=portal+%28Getting+Started%29

SQL Performance Degrades Severely in WAN

The Oracle server is located in the central LAN and the client is located in the remote LAN. These two LANs are connected via 10Mbps wide network. Both LANs are of 100M bps inside. If the SQL commands are issued in the same LAN as Oracle server is located in, the speed is fast. However, if the same commands are issued in the remote LAN, the speed is degraded severly, almost 10 times slower. There are only a few results returned by these SQL commands. My questions are the reason of this performance degradeness and how to improve the performance in the remote client.
The server is Oracle817 and OPS, and the SQL commands are issued in PB programs in the remote client.
Thanks very much.

Thank you very much.
I found another point which might lead to the performance problem. The server's Listener.ora is configured as following:
LISTENER =
(DESCRIPTION_LIST =
(DESCRIPTION =
(ADDRESS_LIST =
(ADDRESS = (PROTOCOL = IPC)(KEY = EXTPROC))
And the client's TNSNAMES.ORA is configured as following:
EMIS02.HZJYJ.COM.CN =
(DESCRIPTION =
(ADDRESS_LIST =
(ADDRESS = (PROTOCOL = TCP)(HOST = 172.26.17.18)(PORT = 1521))
(CONNECT_DATA =
(SERVICE_NAME = emis)
It shows that the listener protocol is set as IPC. However, the client is set to the protocol of TCP. Would there be a network latency for the protocol conversion between IPC and TCP?
Thanks a lot.

Performance comparison between using sql and pl/sql for same purpose

Hi All,
I have to do some huge inserts into a table from some other tables. I have 2 option:
Option 1
======
a. Declare a cusor for a query involving all source tables, this will return the data to be populated into target
b. Use a cursor for loop to loop through all the records in the cursor
c. for each iteration of the loop, populate target columns, do any calculations/function calls required to populate derived columns, and then insert the resulting record into target table
Option 2
======
Just write a big single "Insert Into ..... Select ..." statement, doing alll calculations/funtion calls in the select statement generating the source data.
Now my question is ; which option is fast? and why. This operation is performace critical so I need the option which will run faster. Can anybody help???
Thanks in Advance.

user9314072 wrote:
while the above comments are vaild, you should concider maintainability in you code. Even if you can write the sql it might be the code becomes complex making tuning very dificult, and derade performance.Beg to differ on that. Regardless of complexity of code, SQL is always faster than PL/SQL when dealing with SQL data. The reason for that is that PL/SQL still needs to use SQL anyway for row retrieval, and in addition it needs to copy row data from the buffer cache into the PL/SQL PGA. This is an overhead that does not exist in SQL.
So if you are processing a 100 million rows with a complex 100 line SQL statement, versus a 100 million rows 100 line PL/SQL procedure, SQL will always be faster.
It is a trade off, my experiance is large SQL's 100's lines long become hard to manage. You need to ask yourself why there are 100's of line of SQL. This points to an underlying problem. A flaky data model is very likely the cause. Or not using SQL correctly. Many times a 100 line SQL can be changed to a 10 liner by introducing different logic that solves the exact same problem easier and faster (e.g. using analytical SQL, thinking "+out-of-the-box+").
Also, 100's of line of SQL points to a performance issue always. And it does not matter where you move this code logic to PL/SQL or Java or elsewhere, the performance problem will remain. Moving the problem from SQL to PL/SQL or Java does not reduce the number of rows to process, or make a significant change in the number of CPU instructions to be executed. And there's the above overhead mentioned - pulling SQL data into a client memory segment for processing (an overhead that does not exist using SQL).
So how do you address this then? Assuming the data model is correct, then there are 2 primary methods to address the 100's of SQL lines and its associated performance problem.
Modularise the SQL. Make the 100's of lines easier to maintain and understand. This can be done using VIEWS and the SQL WITH clause.
As for the associated performance issue - materialised views comes to mind as an excellent method to address this type of problem.
my advice is keep things simple, because soon or later you will need to change the code.I'm all for that - but introducing more moving parts like PL/SQL or Java and ref cursors and bulk fetching and so on.. how does that reduce complexity?
SQL is the first and best place to solve row crunching problems. Do not be fooled into thinking that you can achieve that same performance using PL/SQL or Java.

Improve the performance in stored procedure using sql server 2008 - esp where clause in very big table - Urgent

Hi,
I am looking for inputs in tuning stored procedure using sql server 2008. l am new to performance tuning in sql,plsql and oracle. currently facing issue in stored procedure - need to increase the performance by code optmization/filtering the records using where clause in larger table., the requirement is Stored procedure generate Audit Report which is accessed by approx. 10 Admin Users typically 2-3 times a day by each Admin users.
It has got CTE ( common table expression ) which is referred 2 time within SP. This CTE is very big and fetches records from several tables without where clause. This causes several records to be fetched from DB and then needed processing. This stored procedure is running in pre prod server which has 6gb of memory and built on virtual server and the same proc ran good in prod server which has 64gb of ram with physical server (40sec). and the execution time in pre prod is 1min 9seconds which needs to be reduced upto 10secs or so will be the solution. and also the exec time differs from time to time. sometimes it is 50sec and sometimes 1min 9seconds..
Pl provide what is the best option/practise to use where clause to filter the records and tool to be used to tune the procedure like execution plan, sql profiler?? I am using toad for sqlserver 5.7. Here I see execution plan tab available while running the SP. but when i run it throws an error. Pl help and provide inputs.
Thanks,
Viji

You've asked a SQL Server question in an Oracle forum. I'm expecting that this will get locked momentarily when a moderator drops by.
Microsoft has its own forums for SQL Server, you'll have more luck over there. When you do go there, however, you'll almost certainly get more help if you can pare down the problem (or at least better explain what your code is doing). Very few people want to read hundreds of lines of code, guess what's it's supposed to do, guess what is slow, and then guess at how to improve things. Posting query plans, the results of profiling, cutting out any code that is unnecessary to the performance problem, etc. will get you much better answers.
Justin

Can v read a client text file using SQL*plus??

We have a requirement like this: We need to read a text file to find spelling mistakes. Problem is the file has to be always moved to the DB machine, which is a Linux box and then run a stored procedure which uses UTL_FILE. Now in order to show the spelling mistakes of the file the user will have to again copy the file with the spelling mistakses (output file) from Linux to Windows.
Is there a way to do it using SQL*Plus, where the text file is in the client machine???? Then users don't have to copy the file to and from the Linux box.

SQL*Plus is a client software and whatever code you write using SQL*Plus, it ultimately run on the server. So the answers to your question is "no".

The ports SQL clients would use ?

A Firewall is sitting between the Database Server and the SQL client. Ports 1433 (SQL default listen port) and 2383 (Analysis service) have been opened on firewall. However which ports should be opened on the firewall so that Client can reach the SQL
server on port 1433 ? I went through a MS KB article (http://support.microsoft.com/kb/287932) which talks about Clients connecting on Dynamic ports (1024 to 5000). So the query is do we need to keep 1024-5000 ports open ? If yes then can we force
the Client to use a particular port (assuming only client for example) so that only one port on Firewall can be opened.
Any help on this is appreciated.
~ Shekhar

Setup a fix IP port for SQL Server, then you Need only to open one port in Firewall on both Server and Client side; see
Configuring a Fixed Port
Olaf Helper
[ Blog] [ Xing] [ MVP]

Performance degradation of Weblogic 5.1 sp 6 when used with Peoplesoft 8

Recenly we have upgraded from Peoplesoft 7 to Peoplesoft 8.
There is performance degradation of the weblogic 5.1 sp 6 (on Windows 2000 ) when
the no of users increases to 2000. Besides the weblogic wont even shutdown completely
when trying to shutdown.
Weblogic customer support advised to upgrade to sp 8 but sp 8 wont support 128
bit encription which peoplesoft 8 need.
Any of you had such an experience ? Please let me know if there is a solution
or workaround.
Thanks in advance.
Mani

There shouldn't be any reason that 5.1 SP9 wouldn't support 128 bit
encryption. If that's the issue, you should post in the security
newsgroup or contact [email protected]
-- Rob
Mani Ayyalas wrote:
Recenly we have upgraded from Peoplesoft 7 to Peoplesoft 8.1.2
Peoplesoft 8.1.2 bundled with Peopletools(Web based front end ) for the first
time and Weblogic 5.1 sp6.
There is performance degradation of the weblogic 5.1 sp 6 (on Windows 2000 ) when
the no of users increases to 80. The Weblogic is becoming 100% CPU bound. Besides
the weblogic wont even shutdown completely when trying to shutdown.
Peoplesoft customer support advised to upgrade to Weblogic 5.1 sp 9 but sp 9 wont
support 128 bit encription which Peoplesoft 8.1.2 application need. Peoplesoft
8.1.3 will be supporting 128 bit encription after some 3 months. We have to get
along with the above mentioned configuration (Peoplesoft 8.1.2 with Weblogic 5.1
sp 9) in the mean time.
Any of you had such an experience ? Please let me know if there is a solution
or workaround.
Thanks in advance.
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Performance degradation when using foreign keys

Hi,
I face drastic performance degradation when I add foreign keys to a table and perform insert / update on that table.
I have a row store table to which I need to insert around 1,50,000 records.
If the table has no foreign key reference it takes maximum of 5 seconds but if the same table has references to other tables (in my case there are 3 references), the processing speed reduces drastically to 2 minutes.
Is there any solution / best practice that can help me in gaining performance (processing speed) in this situation?
Thanks
S.Srivatsan

Hi Sri,
When you perform one insert in any database table which is having foreign key relationships, it will check the corresponding parent tables to check whether the master data is available or not. If your table is having 2 foreign key relationship, it happen twice per insert. Hence the performance will degrade. This is one of the reasons why ECC doesn't establish foreign key relationship in the back end database. The case is not just for INSERT, for UPDATE & DELETE the same is applicable.
Sreehari

Performance Degradation - High fetches and Prses

Hello,
My analysis on a particular job trace file drew my attention towards:
1) High rate of Parses instead of Bind variables usage.
2) High fetches and poor number/ low number of rows being processed
Please let me kno as to how the performance degradation can be minimised, Perhaps the high number of SQL* Net Client wait events may be due to multiple fetches and transactions with the client.
EXPLAIN PLAN FOR SELECT /*+ FIRST_ROWS (1) */ * FROM SAPNXP.INOB
WHERE MANDT = :A0
AND KLART = :A1
AND OBTAB = :A2
AND OBJEK LIKE :A3 AND ROWNUM <= :A4;
call     count       cpu    elapsed       disk      query    current        rows
Parse      119      0.00       0.00          0          0          0           0
Execute    239      0.16       0.13          0          0          0           0
Fetch      239   2069.31    2127.88          0   13738804          0           0
total      597   2069.47    2128.01          0   13738804          0           0
PLAN_TABLE_OUTPUT
Plan hash value: 1235313998
| Id | Operation                    | Name   | Rows | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT             |        |     2 |   268 |     1   (0)| 00:00:01 |
|* 1 | COUNT STOPKEY               |        |       |       |            |          |
|* 2 |   TABLE ACCESS BY INDEX ROWID| INOB   |     2 |   268 |     1   (0)| 00:00:01 |
|* 3 |    INDEX SKIP SCAN           | INOB~2 | 7514 |       |     1   (0)| 00:00:01 |
Predicate Information (identified by operation id):
   1 - filter(ROWNUM<=TO_NUMBER(:A4))
   2 - filter("OBJEK" LIKE :A3 AND "KLART"=:A1)
   3 - access("MANDT"=:A0 AND "OBTAB"=:A2)
       filter("OBTAB"=:A2)
18 rows selected.
SQL> SELECT INDEX_NAME,TABLE_NAME,COLUMN_NAME FROM DBA_IND_COLUMNS WHERE INDEX_OWNER='SAPNXP' AND INDEX_NAME='INOB~2';
INDEX_NAME      TABLE_NAME                     COLUMN_NAME
INOB~2          INOB                           MANDT
INOB~2          INOB                           CLINT
INOB~2          INOB                           OBTAB
Is it possible to Maximise the rows/fetch
call     count       cpu    elapsed       disk      query    current        rows
Parse      163      0.03       0.00          0          0          0           0
Execute    163      0.01       0.03          0          0          0           0
Fetch   174899     55.26      59.14          0    1387649          0     4718932
total   175225     55.30      59.19          0    1387649          0     4718932
Misses in library cache during parse: 0
Optimizer mode: ALL_ROWS
Parsing user id: 27
Rows     Row Source Operation
28952 TABLE ACCESS BY INDEX ROWID EDIDC (cr=8505 pr=0 pw=0 time=202797 us)
28952   INDEX RANGE SCAN EDIDC~1 (cr=1457 pr=0 pw=0 time=29112 us)(object id 202995)
Elapsed times include waiting on following events:
Event waited on                             Times   Max. Wait Total Waited
----------------------------------------   Waited ---------- ------------
SQL*Net message to client                  174899        0.00          0.16
SQL*Net more data to client                155767        0.01          5.69
SQL*Net message from client                174899        0.11        208.21
latch: cache buffers chains                     2        0.00          0.00
latch free                                      4        0.00          0.00
********************************************************************************

user4566776 wrote:
My analysis on a particular job trace file drew my attention towards:
1) High rate of Parses instead of Bind variables usage.
But if you look at the text you are using bind variables.
The first query is executed 239 times - which matches the 239 fetches. You cut off some of the useful information from the tkprof output, but the figures show that you're executing more than once per parse call. The time is CPU time spent using a bad execution plan to find no data -- this looks like a bad choice of index, possibly a side effect of the first_rows(1) hint.
2) High fetches and poor number/ low number of rows being processedThe second query is doing a lot of fetches because in 163 executions it is fetching 4.7 million rows at roughly 25 rows per fetch. You might improve performance a little by increasing the array fetch size - but probably not by more than a factor of 2.
You'll notice that even though you record 163 parse calls for the second statement the number of " Misses in library cache during parse" is zero - so the parse calls are pretty irrelevant, the cursor is being re-used.
Regards
Jonathan Lewis
http://jonathanlewis.wordpress.com
http://www.jlcomp.demon.co.uk
To post code, statspack/AWR report, execution plans or trace files, start and end the section with the tag {noformat}{noformat} (lowercase, curly brackets, no spaces) so that the text appears in fixed format.
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Performance degradation using sql client

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