Query Tuning - Response time Statistics collection
Our Application is Load tested for a period of 1 hour with peak load.
For this specific period of time, say thousands of queries gets executed in the database,
What we need is say for one particular query " select XYZ from ABC" within this span of 1 hour, we need statistics like
Number of times Executed
Average Response time
Maximum response time
minimum response time
90th percentile response time ( sorted in ascending order, 90th percentile guy)
All these statistics are possible if i can get all the response times for that particular query for that period of 1 hour....
I tried using sql trace and TKPROF but unable to get all these statistics...
Application uses connection pooling, so connections are taken as and when needed...
Any thoughts on this?
Appreciate your help.
I don't think v$sqlarea can help me out with the exact stats i needed, but certainly it has lot of other stats to take. B/w there is no dictionary view called v$sqlstats.
There are other applications which share the same database where i am trying to capture for my application, so flushing cache which currently has 30K rows is not feasible solution.
Any more thoughts on this?
Similar Messages
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Response time of query utterly upside down because of small where clause change
Hello,
I'm wondering why a small change on a where clause in a query has a dramatic impact on its response time.
Here is the query, with its plan and a few details:
select * from (
SELECT xyz_id, time_oper, ...
FROM (SELECT
d.xyz_id xyz_id,
TO_CHAR (di.time_operation, 'DD/MM/YYYY') time_oper,
di.time_operation time_operation,
UPPER (d.delivery_name || ' ' || d.delivery_firstname) custname,
d.ticket_language ticket_language, d.payed,
dsum.delivery_mode delivery_mode,
d.station_delivery station_delivery,
d.total_price total_price, d.crm_cust_id custid,
d.bene_cust_id person_id, d.xyz_num, dpe.ers_pnr ers_pnr,
d.delivery_name,
TO_CHAR (dsum.first_travel_date, 'DD/MM/YYYY') first_traveldate,
d.crm_company custtype, UPPER (d.client_name) partyname,
getremark(d.xyz_num) remark,
d.client_app, di.work_unit, di.account_unit,
di.distrib_code,
UPPER (d.crm_name || ' ' || d.crm_firstname) crm_custname,
getspecialproduct(di.xyz_id) specialproduct
FROM xyz d, xyz_info di, xyz_pnr_ers dpe, xyz_summary dsum
WHERE d.cancel_state = 'N'
-- AND d.payed = 'N'
AND dsum.delivery_mode NOT IN ('DD')
AND dsum.payment_method NOT IN ('AC', 'AG')
AND d.xyz_blocked IS NULL
AND di.xyz_id = d.xyz_id
AND di.operation = 'CREATE'
AND dpe.xyz_id(+) = d.xyz_id
AND EXISTS (SELECT 1
FROM xyz_ticket dt
WHERE dt.xyz_id = d.xyz_id)
AND dsum.xyz_id = di.xyz_id
ORDER BY di.time_operation DESC)
WHERE ROWNUM < 1002
) view
WHERE view.DISTRIB_CODE in ('NS') AND view.TIME_OPERATION > TO_DATE('20/5/2013', 'dd/MM/yyyy')
plan with "d.payed = 'N'" (no rows, *extremely* slow):
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 1001 | 4166K| 39354 (1)| 00:02:59 |
|* 1 | VIEW | | 1001 | 4166K| 39354 (1)| 00:02:59 |
|* 2 | COUNT STOPKEY | | | | | |
| 3 | VIEW | | 1001 | 4166K| 39354 (1)| 00:02:59 |
| 4 | NESTED LOOPS OUTER | | 1001 | 130K| 39354 (1)| 00:02:59 |
| 5 | NESTED LOOPS SEMI | | 970 | 111K| 36747 (1)| 00:02:47 |
| 6 | NESTED LOOPS | | 970 | 104K| 34803 (1)| 00:02:39 |
| 7 | NESTED LOOPS | | 970 | 54320 | 32857 (1)| 00:02:30 |
|* 8 | TABLE ACCESS BY INDEX ROWID| XYZ_INFO | 19M| 704M| 28886 (1)| 00:02:12 |
| 9 | INDEX FULL SCAN DESCENDING| DNIN_IDX_NI5 | 36967 | | 296 (2)| 00:00:02 |
|* 10 | TABLE ACCESS BY INDEX ROWID| XYZ_SUMMARY | 1 | 19 | 2 (0)| 00:00:01 |
|* 11 | INDEX UNIQUE SCAN | SB11_DSMM_XYZ_UK | 1 | | 1 (0)| 00:00:01 |
|* 12 | TABLE ACCESS BY INDEX ROWID | XYZ | 1 | 54 | 2 (0)| 00:00:01 |
|* 13 | INDEX UNIQUE SCAN | XYZ_PK | 1 | | 1 (0)| 00:00:01 |
|* 14 | INDEX RANGE SCAN | DNTI_NI1 | 32M| 249M| 2 (0)| 00:00:01 |
| 15 | TABLE ACCESS BY INDEX ROWID | XYZ_PNR_ERS | 1 | 15 | 4 (0)| 00:00:01 |
|* 16 | INDEX RANGE SCAN | DNPE_XYZ | 1 | | 2 (0)| 00:00:01 |
Predicate Information (identified by operation id):
1 - filter("DISTRIB_CODE"='NS' AND "TIME_OPERATION">TO_DATE(' 2013-05-20', 'syyyy-mm-dd'))
2 - filter(ROWNUM<1002)
8 - filter("DI"."OPERATION"='CREATE')
10 - filter("DSUM"."DELIVERY_MODE"<>'DD' AND "DSUM"."PAYMENT_METHOD"<>'AC' AND "DSUM"."PAYMENT_METHOD"<>'AG')
11 - access("DSUM"."XYZ_ID"="DI"."XYZ_ID")
12 - filter("D"."PAYED"='N' AND "D"."XYZ_BLOCKED" IS NULL AND "D"."CANCEL_STATE"='N')
^^^^^^^^^^^^^^
13 - access("DI"."XYZ_ID"="D"."XYZ_ID")
14 - access("DT"."XYZ_ID"="D"."XYZ_ID")
16 - access("DPE"."XYZ_ID"(+)="D"."XYZ_ID")
plan with "d.payed = 'N'" (+/- 450 rows, less than two minutes):
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 1001 | 4166K| 58604 (1)| 00:04:27 |
|* 1 | VIEW | | 1001 | 4166K| 58604 (1)| 00:04:27 |
|* 2 | COUNT STOPKEY | | | | | |
| 3 | VIEW | | 1002 | 4170K| 58604 (1)| 00:04:27 |
| 4 | NESTED LOOPS OUTER | | 1002 | 130K| 58604 (1)| 00:04:27 |
| 5 | NESTED LOOPS SEMI | | 1002 | 115K| 55911 (1)| 00:04:14 |
| 6 | NESTED LOOPS | | 1476 | 158K| 52952 (1)| 00:04:01 |
| 7 | NESTED LOOPS | | 1476 | 82656 | 49992 (1)| 00:03:48 |
|* 8 | TABLE ACCESS BY INDEX ROWID| XYZ_INFO | 19M| 704M| 43948 (1)| 00:03:20 |
| 9 | INDEX FULL SCAN DESCENDING| DNIN_IDX_NI5 | 56244 | | 449 (1)| 00:00:03 |
|* 10 | TABLE ACCESS BY INDEX ROWID| XYZ_SUMMARY | 1 | 19 | 2 (0)| 00:00:01 |
|* 11 | INDEX UNIQUE SCAN | AAAA_DSMM_XYZ_UK | 1 | | 1 (0)| 00:00:01 |
|* 12 | TABLE ACCESS BY INDEX ROWID | XYZ | 1 | 54 | 2 (0)| 00:00:01 |
|* 13 | INDEX UNIQUE SCAN | XYZ_PK | 1 | | 1 (0)| 00:00:01 |
|* 14 | INDEX RANGE SCAN | DNTI_NI1 | 22M| 168M| 2 (0)| 00:00:01 |
| 15 | TABLE ACCESS BY INDEX ROWID | XYZ_PNR_ERS | 1 | 15 | 4 (0)| 00:00:01 |
|* 16 | INDEX RANGE SCAN | DNPE_XYZ | 1 | | 2 (0)| 00:00:01 |
Predicate Information (identified by operation id):
1 - filter("DISTRIB_CODE"='NS' AND "TIME_OPERATION">TO_DATE(' 2013-05-20', 'syyyy-mm-dd'))
2 - filter(ROWNUM<1002)
8 - filter("DI"."OPERATION"='CREATE')
10 - filter("DSUM"."DELIVERY_MODE"<>'DD' AND "DSUM"."PAYMENT_METHOD"<>'AC' AND "DSUM"."PAYMENT_METHOD"<>'AG')
11 - access("DSUM"."XYZ_ID"="DI"."XYZ_ID")
12 - filter("D"."XYZ_BLOCKED" IS NULL AND "D"."CANCEL_STATE"='N')
13 - access("DI"."XYZ_ID"="D"."XYZ_ID")
14 - access("DT"."XYZ_ID"="D"."XYZ_ID")
16 - access("DPE"."XYZ_ID"(+)="D"."XYZ_ID")
XYZ.PAYED values breakdown:
P COUNT(1)
Y 12202716
N 9430207
tables nb of records:
TABLE_NAME NUM_ROWS
XYZ 21606776
XYZ_INFO 186301951
XYZ_PNR_ERS 9716471
XYZ_SUMMARY 21616607
Everything that comes inside the "select * from(...) view" parentheses is defined in a view. We've noticed that the line "AND d.payed = 'N'" (commented above) is the guilty clause: the query takes one or two seconds to return between 400 and 500 rows if this line is removed, when included in the query, the response time then switches to *hours* -sic !- but then the result set is empty (no rows returned). The plan is exactly the same whether this "d.payed = 'N'" is added or removed, I mean the nb of steps, access paths, join order etc., only the rows/bytes/cost columns values change, as you can see.
We've found no other way of solving this perf issue but by taking out this "d.payed = 'N'" condition and setting it outside the view along with view.DISTRIB_CODE and view.TIME_OPERATION.
But we would like to understand why such a small change on the XYZ.PAYED column turns everything upside down that much, and we'd like to be able to tell the optimizer to perform this check on payed = 'N' by itself in the end, just like we did, through the use of a hint if possible...
Anybody ever encountered such a behaviour before ? Do you have any advice regarding the use of a hint to reach the same response time as that we've got by setting the payed = N condition outside of the view definition ??
Thanks a lot in advance.
Regards,
SebI am really sorry I couldn't get back earlier to this forum...
Thanks to you all for your answers.
First I'd just like to correct a small mistake I made, when writing
"the query takes one or two seconds": I meant one or 2 *minutes*. Sorry.
> What table/columns are indexed by "DNTI_NI1"?
aaaa.dnti_ni1 is an index ON aaaa.xyz_ticket(xyz_id, ticket_status)
> And what are the indexes on xyz table?
Too many:
XYZ_ARCHIV_STATE_IND ARCHIVE_STATE
XYZ_BENE_CUST_ID_IND BENE_CUST_ID
XYZ_BENE_TTL_IND BENE_TTL
XYZ_CANCEL_STATE_IND CANCEL_STATE
XYZ_CLIENT_APP_NI CLIENT_APP
XYZ_CRM_CUST_ID_IND CRM_CUST_ID
XYZ_DELIVE_MODE_IND DELIVERY_MODE
XYZ_DELIV_BLOCK_IND DELIVERY_BLOCKED
XYZ_DELIV_STATE_IND DELIVERY_STATE
XYZ_XYZ_BLOCKED XYZ_BLOCKED
XYZ_FIRST_TRAVELDATE_IND FIRST_TRAVELDATE
XYZ_MASTER_XYZ_IND MASTER_XYZ_ID
XYZ_ORG_ID_NI ORG_ID
XYZ_PAYMT_STATE_IND PAYMENT_STATE
XYZ_PK XYZ_ID
XYZ_TO_PO_IDX TO_PO
XYZ_UK XYZ_NUM
For ex. XYZ_CANCEL_STATE_IND on CANCEL_STATE seems superfluous to me, as the column may only contain Y or N (or be null)...
> Have you traced both cases to compare statistics? What differences did it reveal?
Yes but it only shows more of *everything* (more tables blocks accessed, the same
for indexes blocks, for almost all objects involved) for the slowest query !
Greping WAIT on the two trc files made for every statement and counting the
object IDs access show that the quicker query requires much less I/Os; the
slowest one overall needs much more blocks to be read (except for the indexes
DNSG_NI1 or DNPE_XYZ for example). Below I replaced obj# with the table/index
name, the first column is the figure showing how many times the object was
accessed in the 10053 file (I ctrl-C'ed my second execution ofr course, the
figures should be much higher !!):
[login.hostname] ? grep WAIT OM-quick.trc|...|sort|uniq -c
335 XYZ_SUMMARY
20816 AAAA_DSMM_XYZ_UK (index on xyz_summary.xyz_id)
192 XYZ
4804 XYZ_INFO
246 XYZ_SEGMENT
6 XYZ_REMARKS
63 XYZ_PNR_ERS
719 XYZ_PK (index on xyz.xyz_id)
2182 DNIN_IDX_NI5 (index on xyz.xyz_id)
877 DNSG_NI1 (index on xyz_segment.xyz_id, segment_status)
980 DNTI_NI1 (index on xyz_ticket.xyz_id, ticket_status)
850 DNPE_XYZ (index on xyz_pnr_ers.xyz_id)
[login.hostname] ? grep WAIT OM-slow.trc|...|sort|uniq -c
1733 XYZ_SUMMARY
38225 AAAA_DSMM_XYZ_UK (index on xyz_summary.xyz_id)
4359 XYZ
12536 XYZ_INFO
65 XYZ_SEGMENT
17 XYZ_REMARKS
20 XYZ_PNR_ERS
8598 XYZ_PK
7406 DNIN_IDX_NI5
29 DNSG_NI1
2475 DNTI_NI1
27 DNPE_XYZ
The overwhelmingly dominant wait event is by far 'db file sequential read':
[login.hostname] ? grep WAIT OM-*elect.txt|cut -d"'" -f2|sort |uniq -c
36 SQL*Net message from client
38 SQL*Net message to client
107647 db file sequential read
1 latch free
1 latch: object queue header operation
3 latch: session allocation
> It will be worth knowing the estimations...
It show the same plan with a higher cost when PAYED = N is added:
SQL> select * from sb11.dnr d
2* where d.dnr_blocked IS NULL and d.cancel_state = 'N'
SQL> /
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 1002 | 166K| 40 (3)| 00:00:01 |
|* 1 | TABLE ACCESS BY INDEX ROWID| XYZ | 1002 | 166K| 40 (3)| 00:00:01 |
|* 2 | INDEX RANGE SCAN | XYZ_CANCEL_STATE_IND | | | 8 (0)| 00:00:01 |
Predicate Information (identified by operation id):
1 - filter("D"."XYZ_BLOCKED" IS NULL)
2 - access("D"."CANCEL_STATE"='N')
SQL> select * from sb11.dnr d
2 where d.dnr_blocked IS NULL and d.cancel_state = 'N'
3* and d.payed = 'N'
SQL> /
Execution Plan
Plan hash value: 1292668880
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 1001 | 166K| 89 (3)| 00:00:01 |
|* 1 | TABLE ACCESS BY INDEX ROWID| XYZ | 1001 | 166K| 89 (3)| 00:00:01 |
|* 2 | INDEX RANGE SCAN | XYZ_CANCEL_STATE_IND | | | 15 (0)| 00:00:01 | -
Response Time of a query in 2 different enviroment
Hi guys Luca speaking, sorry for the bad written english
the questions is:
The same query on the same table, for definition, number of rows, defined on the same kind of tablespace, the tables are analized
*) I have a query in Benchmark with good results in execution time, the execution plan is really good
*) in Production the execution plan is not so good, the response time isn't comparable (hours vs seconds)
#### The Execution Plan are different ####
#### The stats are the same ####
this a table storico.FLUSSO_ASTCM_INC A with this stats in benchmark
chk Owner Name Partition Subpartition Tablespace NumRows Blocks EmptyBlocks AvgSpace ChainCnt AvgRowLen AvgSpaceFLBlocks NumFLBlocks UserStats GlobalStats LastAnalyzed SampleSize Monitoring Status
True STORICO FLUSSO_ASTCM_INC TBS_DATA 2861719 32025 0 0 0 74 NO YES 10/01/2006 15.53.43 2861719 NO Normal, Successful Completion: 10/01/2006 16.26.05
in Production the stas are the same
the other one is an external_table
the only differences that I noticed at the moment is about the tablespace used to defined the table on:
Production
EXTENT MANAGEMENT LOCAL UNIFORM SIZE 512K
Benchmark
EXTENT MANAGEMENT LOCAL AUTOALLOCATE
I'm studing on at the moment
What I have to check to obtain the same execution plan (without change the query)
This is the query:
SELECT
'test query',
sysdate,
storico.tc_scarti_seq.NEXTVAL,
NULL, --ROW_ID
-- A.AZIONE,
'I',
A.CODE_PREF_TCN,
A.CODE_NUM_TCN,
'ADSL non presente su CRM' ,
-- a.AZIONE
'I'
|| ';' || a.CODE_PREF_TCN
|| ';' || a.CODE_NUM_TCN
|| ';' || a.DATA_ATVZ_CMM
|| ';' || a.CODE_PREF_DSR
|| ';' || a.CODE_NUM_TFN
|| ';' || a.DATA_CSSZ_CMM
|| ';' || a.TIPO_EVENTO
|| ';' || a.INVARIANTE_FONIA
|| ';' || a.CODE_TIPO_ADSL
|| ';' || a.TIPO_RICHIESTA_ATTIVAZIONE
|| ';' || a.TIPO_RICHIESTA_CESSAZIONE
|| ';' || a.ROW_ID_ATTIVAZIONE
|| ';' || a.ROW_ID_CESSAZIONE
FROM storico.FLUSSO_ASTCM_INC A
WHERE NOT EXISTS (SELECT 1 FROM storico.EXT_CRM_X_ADSL B
WHERE A.CODE_PREF_DSR = B.CODE_PREF_DSR
AND A.CODE_NUM_TFN = B.CODE_NUM_TFN
AND A.INVARIANTE_FONIA = B.INVARIANTE_FONIA
AND B.NOME_SERVIZIO NOT IN ('ADSL SMART AGGREGATORE','ADSL SMART TWIN','ALICE IMPRESA TWIN',
'SERVIZIO ADSL PER VIDEOLOTTERY','WI - FI') )
Esito di set autotrace traceonly explain ESERCIZIO
Execution Plan
0 SELECT STATEMENT Optimizer=CHOOSE (Cost=144985 Card=143086 B
1 0 SEQUENCE OF 'TC_SCARTI_SEQ'
2 1 FILTER
3 2 TABLE ACCESS (FULL) OF 'FLUSSO_ASTCM_INC' (Cost=1899 C
4 2 EXTERNAL TABLE ACCESS* (FULL) OF 'EXT_CRM_X_ADSL' (Cos :Q370300
4 PARALLEL_TO_SERIAL SELECT /*+ NO_EXPAND FULL(A1) */ A1."CODE_PR
Esito di set autotrace traceonly explain BENCHMARK
Execution Plan
0 SELECT STATEMENT Optimizer=CHOOSE (Cost=3084 Card=2861719 By
tes=291895338)
1 0 SEQUENCE OF 'TC_SCARTI_SEQ'
2 1 HASH JOIN* (ANTI) (Cost=3084 Card=2861719 Bytes=29189533 :Q810002
8)
3 2 TABLE ACCESS* (FULL) OF 'FLUSSO_ASTCM_INC' (Cost=3082 :Q810000
Card=2861719 Bytes=183150016)
4 2 EXTERNAL TABLE ACCESS* (FULL) OF 'EXT_CRM_X_ADSL' (Cos :Q810001
t=2 Card=1 Bytes=38)
2 PARALLEL_TO_SERIAL SELECT /*+ ORDERED NO_EXPAND USE_HASH(A2) US
E_ANTI(A2) */ A1.C0,A1.C1,A1.C2,A1.C
3 PARALLEL_FROM_SERIAL
4 PARALLEL_TO_PARALLEL SELECT /*+ NO_EXPAND FULL(A1) */ A1."CODE_PR
EF_DSR" C0,A1."CODE_NUM_TFN" C1,A1."
The differences on the InitOra are on these parameters:
Could they influence the Optimizer, and the execution plan are so different
background_dump_dest
cpu_count
db_file_multiblock_read_count
db_files
db_32k_cache_size
dml_locks
enqueue_resources
event
fast_start_mttr_target
fast_start_parallel_rollback
hash_area_size
log_buffer
log_parallelism
max_rollback_segments
open_cursors
open_links
parallel_execution_message_size
parallel_max_servers
processes
query_rewrite_enabled
remote_login_passwordfile
session_cached_cursors
sessions
sga_max_size
shared_pool_reserved_size
sort_area_retained_size
sort_area_size
star_transformation_enabled
transactions
undo_retention
user_dump_dest
utl_file_dir
Please Help me
Thanks a lot LucaHi Luca,
test and production system are nearly identicall (same OS, same HW Plattform, same software version, same release)
you're using external tables. Are the speed of these drives are identically?
have you analyzed the schema with the same statement? Could you send me the statement?
have you system statistics?
have you testet the statement in an environment which is nearly like the production? concurrent user etc.
Could you send me the top 5 wait events from the statspack report.
Are the data from production and test identical? No data changed. No Index drop? No additional Index? All tables and indexes are analyzed
Regards
Marc -
Help required in optimizing the query response time
Hi,
I am working on a application which uses a jdbc thin client. My requirement is to select all the table rows in one table and use the column values to select data in another table in another database.
The first table can have maximum of 6 million rows but the second table rows will be around 9000.
My first query is returning within 30-40 milliseconds when the table is having 200000 rows. But when I am iterating the result set and query the second table the query is taking around 4 millisecond for each query.
the second query selection criteria is to find the value in the range .
for example my_table ( varchar2 column1, varchar2 start_range, varchar2 end_range);
My first query returns a result which then will be used to select using the following query
select column1 from my_table where start_range < my_value and end_range> my_value;
I have created an index on start_range and end_range. this query is taking around 4 millisseconds which I think is too much.
I am using a preparedStatement for the second query loop.
Can some one suggest me how I can improve the query response time?
Regards,
ShyamTry the code below.
Pre-requistee: you should know how to pass ARRAY objects to oracle and receive resultsets from java. There are 1000s of samples available on net.
I have written a sample db code for the same interraction.
Procedure get_list takes a array input from java and returns the record set back to java. You can change the tablenames and the creteria.
Good luck.
DROP TYPE idlist;
CREATE OR REPLACE TYPE idlist AS TABLE OF NUMBER;
CREATE OR REPLACE PACKAGE mypkg1
AS
PROCEDURE get_list (myval_list idlist, orefcur OUT sys_refcursor);
END mypkg1;
CREATE OR REPLACE PACKAGE BODY mypkg1
AS
PROCEDURE get_list (myval_list idlist, orefcur OUT sys_refcursor)
AS
ctr NUMBER;
BEGIN
DBMS_OUTPUT.put_line (myval_list.COUNT);
FOR x IN (SELECT object_name, object_id, myvalue
FROM user_objects a,
(SELECT myval_list (ROWNUM + 1) myvalue
FROM TABLE (myval_list)) b
WHERE a.object_id < b.myvalue)
LOOP
DBMS_OUTPUT.put_line ( x.object_name
|| ' - '
|| x.object_id
|| ' - '
|| x.myvalue
END LOOP;
END;
END mypkg1;
[pre]
Testing the code above. Make sure dbms output is ON.
[pre]
DECLARE
a idlist;
refc sys_refcursor;
c number;
BEGIN
SELECT x.nu
BULK COLLECT INTO a
FROM (SELECT 5000 nu
FROM DUAL) x;
mypkg1.get_list (a, refc);
END;
[pre]
Vishal V. -
How to obtain the Query Response Time of a query?
Given the Average Length of Row of tables and the number of rows in each table,
is there a way we get the query response time of a query involving
those tables. Query includes joins as well.
For example, suppose there 3 tables t1, t2, t3. I wish to obtain the
time it takes for the following query:
Query
SELECT t1.col1, t2.col2
FROM t1, t2, t3
WHERE t1.col1 = t2.col2
AND t1.col2 IN ('a', 'c', 'd')
AND t2.col1 = t3.col2
AND t2.col1 = t1.col1 (+)
ORDER BY t1.col1
Given are:
Average Row Length of t1 = 200 bytes
Average Row Length of t2 = 100 bytes
Average Row Length of t3 = 500 bytes
No of rows in t1 = 100
No of rows in t2 = 1000
No of rows in t3 = 500
What is required is the 'query response time' for the said query.I do not know how to do it myself. But if you are running Oracle 10g, I believe that there is a new tool called: SQL Tuning Advisor which might be able to help.
Here are some links I found doing a google search, and it looks like it might meet your needs and even give you more information on how to improve your code.
http://www.databasejournal.com/features/oracle/article.php/3492521
http://www.databasejournal.com/features/oracle/article.php/3387011
http://www.oracle.com/technology/obe/obe10gdb/manage/perflab/perflab.htm
http://www.oracle.com/technology/pub/articles/10gdba/week18_10gdba.html
http://www.oracle-base.com/articles/10g/AutomaticSQLTuning10g.php
Have fun reading:
You can get help from teachers, but you are going to have to learn a lot by yourself, sitting alone in a room ....Dr. Seuss
Regards
Tim -
How to get Query response Time?
II am on BI 7.0. I ran some queries using RSRT command. I want to find how much time the queries took.
I went to
st03 -> expert mode -> BI system load-> select today / week/month according to the query runtime day
I do not see any Info Providers. Query was on a cube so why no Info Providers.
Does something have to turned on InfoPorvider to show.
When I look in RSDDSTAT_OLAP table, I do see many rows but cannot make any sense. Is there some documentation on how to get total query time from this table?
Is there any other way to get query response time?
Thanks a lot.HI,
why not use RSRT ? You can add database statistics option in "Execut & Debug" and you get all the runtime metrics of your query
In transaction RSRT, enter the query name and press u2018Execute +Debugu2019.
Selecting u2018Display Statistics Datau2019 .
After executing the query will return a list of the measured metrics.
The event id / text describes the steps (duration in seconds):
"OLAP: Read data" gives the SQL statements repsonse time (ok - because the SAP
application server acts as an Oracle client a little network traffic from the db server is included,
but as far as you not transferring zillions of rows it can be ignored)
But it gives you much more (i.e. if the OLAP cache gets used or not )...
In the "Aggreagate statistcs" you get all the infoproviders involved in that query.
bye
yk -
O/S - Sun Solaris
ver - Oracle 8.1.7
I am trying to improve the response time of the following query. Both tables contain polygons.
select a.data_id, a.GEOLOC from information_data a, shape_data b where a.info_id = 2 and b.shape_id = 271 and sdo_filter(a.GEOLOC,b.GEOLOC,'querytype=window')='TRUE'
The response time with info_id not indexed is 9 seconds. When I index info_id, I get the following error. Why is indexing info_id causing a spatial index error ? Also, other than manipulating the tiling level, is there anything else that could improve the response time ?
ERROR at line 1:
ORA-29902: error in executing ODCIIndexStart() routine
ORA-13208: internal error while evaluating [window SRID does not match layer
SRID] operator
ORA-06512: at "MDSYS.SDO_INDEX_METHOD", line 84
ORA-06512: at line 1
Thanks,
Ravi.Hello Ravi,
Both layers should have SDO_SRID values set in order for the index to work properly.
After you do that you might want to add an Oracle hint to the query:
select /*+ ordered */ a.data_id, a.GEOLOC
from shape_data b, information_data a
where a.info_id = 2 and b.shape_id = 271
and sdo_filter(a.GEOLOC,b.GEOLOC,'querytype=window')='TRUE' ;
Hope this helps,
Dan
Also, if only one or very few rows have a.info_id=2 then the function sdo_geom.relate
might also work quickly. -
CCMSPING not collecting "Dialog Response Time"
In Solution Manager 4.0, we have configured the CCMSPING agent to monitor a number of systems. For only two of those systems, CCMSPING is not collecting "Dialog Response Time" (Availability_DiaRespTime) and "Standardized Response Time" (Availability_StdRespTime) data. All other MTE's for those two servers are being successfully collected. Looking at CPH, for at least one of those systems, the data was collected for a couple of weeks and then stopped. For the other system, that data has never been collected. The two systems with problems are the only two ECC 6.0 systems in the landscape. In the RZ20 monitor, all that it says is that the "Value is obsolete". I have deactivated and reactivate CCMSPING one of the systems without any change.
Has anyone seen anything like this? Is there any way that I can find out what errors are occurring?I have already a ccmsping agent registered on my central system but it seams to be not correctly registered.
I registered correctly the agent with the '-push' option and it seams to work properly now.
Thanks for your response
Regards,
Emmanuel Coindre.
[www.emmanuelcoindre.fr|http://www.emmanuelcoindre.fr] -
Significant difference in response times for same query running on Windows client vs database server
I have a query which is taking a long time to return the results using the Oracle client.
When I run this query on our database server (Unix/Solaris) it completes in 80 seconds.
When I run the same query on a Windows client it completes in 47 minutes.
Ideally I would like to get a response time equivalent on the Windows client to what I get when running this on the database server.
In both cases the query plans are the same.
The query and plan is shown below :
{code}
SQL> explain plan
2 set statement_id = 'SLOW'
3 for
4 SELECT DISTINCT /*+ FIRST_ROWS(503) */ objecttype.id_object
5 FROM documents objecttype WHERE objecttype.id_type_definition = 'duotA9'
6 ;
Explained.
SQL> select * from table(dbms_xplan.display('PLAN_TABLE','SLOW','TYPICAL'));
PLAN_TABLE_OUTPUT
| Id | Operation | Name | Rows | Bytes |TempSpc| Cost (%CPU)|
| 0 | SELECT STATEMENT | | 2852K| 46M| | 69851 (1)|
| 1 | HASH UNIQUE | | 2852K| 46M| 153M| 69851 (1)|
|* 2 | TABLE ACCESS FULL| DOCUMENTS | 2852K| 46M| | 54063 (1)|
{code}
Are there are configuration changes that can be done on the Oracle client or database to improve the response times for the query when it is running from the client?
The version on the database server is 10.2.0.1.0
The version of the oracle client is also 10.2.0.1.0
I am happy to provide any further information if required.
Thank you in advance.I have a query which is taking a long time to return the results using the Oracle client.
When I run this query on our database server (Unix/Solaris) it completes in 80 seconds.
When I run the same query on a Windows client it completes in 47 minutes.
There are NO queries that 'run' on a client. Queries ALWAYS run within the database server.
A client can choose when to FETCH query results. In sql developer (or toad) I can choose to get 10 rows at a time. Until I choose to get the next set of 10 rows NO rows will be returned from the server to the client; That query might NEVER complete.
You may get the same results depending on the client you are using. Post your question in a forum for whatever client you are using. -
Browser response time slow but Analyzer fast with same query
Hi all,
We have a very complex query (structures and cell formulas). When I drill and filter on a specific characteristic the action takes anything between 7 and 15 minutes when using the browser. The same query in Analyzer performing the same drilling action takes less than 35 seconds.
Our architecture is as follows:
- Relevant cubes are indexed on BWA
- WebDynPro for Java
We can see that the BWA is hit for a short time then the CPU utilization is back to 0%. When doing '&profiling=x' on the browser I can see that the most of the time is spent on 'Get result set' / 'Get provider result set' for the Java events and on the OLAP side most time is spent on the 'Get result set' event.
Interestingly enough - when disabling myself as a user for BIA use (NO_BIA_USE) in my user profile I get the same response time on the browser.
So, does anyone have an idea of what may be the cause of the slow response time when using the browser?
Thanks
Edited by: Cobus van Rooyen on May 10, 2010 8:49 PMHi,
The reason is most likely because of the event ID 3200 where data transfer takes place from OLAP to frontend browser.
Record a RSTT trace for this and if you are able to see frequent calls to "Apply State XML" and "Get Result Set" then apply the SAP Note 1428850. Otherwise see which function module is causing an error.
If trace runtime is less but in browser still it takes long time then this might be because of the compression of HTPP responses, which can be confirmed by observing the sent and received data volumns from the HTTP server requests/responses. For more information refer SAP Note 746666.
Imran... -
Slow response time on query from one schema to another
I've got two separate databases (one test, the other production). The schemas are pretty much identical and contain the same data. This particular query is executed from .NET (SQL text command, not SP) and takes about 3 seconds when performed against my test db, but takes anywhere from 45 seconds to 5 minutes on the production system. I've exceuted the same statement using Aquadata studio and get the same response times. I didn't build the queries or the schemas, nor do I manage the database servers. But I am responsible for making this work now. These queries have been working in the past, but recently have been changed. I am able to speed this one up with some sql changes, but the others I'm not sure about. I've checked and production db has indexes on the fields I'm querying while the test db does not. I would expect test to be slower, but it's not. Any ideas that I could try. On Monday I'll ask our server admins to check out the server end of it, and see if they need to reboot or something. In the meantime, I'm going to work to revamp the SQL.
Any ideas you can provide would be much appreciated.
Sincerely,
Zamwhen your query takes long...
When your query takes too long ... -
How to get query response time from ST03 via a script ?
Hello People,
I am trying to get average query response time for BW queries with a script (for monitoring/historisation).
I know that this data can be found manually in ST03n in the "BI workload'.
However, I don't know how to get this stat from a script.
My idea is to run a SQL query to get this information, here is the state of my query :
select count(*) from sapbw.rsddstat_olap
where calday = 20140401
and (eventid = 3100 or eventid = 3010)
and steptp = 'BEX3'
The problem is that this query is not returning the same number of navigations as the number shown in ST03n.
Can you help me to set the correct filters to get the same number of navigation as in ST03n ?
Regards.Hi Experts,
Do you have ideas for this SQL query ?
Regards. -
Rules of thumb for acceptable query response times?
Once I read a statement from SAP which said that users typically tolerate
response times up to 7 seconds. So you should strive to achive this goal.
Unfortunately I cannot remember in which document or webpage this
statement was made. Does anybody happen to have a reference for this rule
or any other SAP rules about the BW query response times?
Regards,
MarkShare with us the situations where your query is running slow. How many rows are you returning via SQL Commands?
On reports; the maximum row count being returned and/or the pagination scheme can have impact on performance.
Jeff -
Performance Tuning: Http Task Time Response Time Threshold
I must analyze the response time of HTTP task on my instance and I found any value from tcode ST03.
For HTTP task with my user I have these values:
N. Step T resp.time A. Resp.Time T. DB Time A. DB Time
3405 3072 902,1 1436 421,7
Now I would like to know if these values are correct or they are very high.
Is there an OSS Note which explain the threshold of all task type??
Thanks in advanced.
MorenoIf its an external ITS,
here is one note:
Note 388198 - ITS performance problems - Monitors and log files
if its an internal ITS,
Note 892442 - Integrated ITS configuration/performance
Regards,
Siddhesh -
ST03 statistics details :- Response time distribution
Hi Experts,
We have requirement to display the Percentage (cumulated) of response time distribution view of ST03 transaction code.
There is one standard infocube 0CCMSATTI.
Can anybody pls explain about the significance of fields like CNT01 to CNT09 of 0CCMSATTI infocube?
Thanks
Kind Regards
Anukulhi,
the definition of the infoobjects are stored in strucutre SAPWLTSK.
CNT001 -- SAP Workload: Number of Steps with Response Time < 0.1s
CNT002 -- SAP Workload: No. of Steps with Response Time 0.1s< RT< 0.2s
CNT003 -- SAP Workload: No. of Steps with Response Time 0.2s< RT< 0.3s
CNT004 -- SAP Workload: No. of Steps with Response Time 0.3s< RT< 0.4s
CNT005 -- SAP Workload: No. of Steps with Response Time 0.4s< RT< 0.5s
CNT006 -- SAP Workload: No. of Steps with Response Time 0.5s< RT< 1.0s
CNT007 -- SAP Workload: No. of Steps with Response Time 1s< RT< 2s
CNT008 -- SAP Workload: No. of Steps with Response Time 2s< RT< 3s
CNT009 -- SAP Workload: No. of Steps with Response Time 3s< RT< 10s
regards,
Arvind.
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