Select Statement takes more time after immediate insert statement..
Hello,
I found below scenario
1. I have table TABLE1 which has index on COL1 field. It has around 40 columns and 100000 rows.
2. whenever i insert 100000 rows in bulk with changing indexed key column and executing SELECT statement in same session then it takes around 3 mins to complete.
3. However, if i open new session and execute same select statement then it returns in 2-3 seconds.
I didnt get anything in XPLAN.. :(
I felt Buffer Clean is cause to take time. please let me know your opinion.
Thanks in Advance
Sach
sach09 wrote:
Hello,
I found below scenario
1. I have table TABLE1 which has index on COL1 field. It has around 40 columns and 100000 rows.
2. whenever i insert 100000 rows in bulk with changing indexed key column and executing SELECT statement in same session then it takes around 3 mins to complete.
3. However, if i open new session and execute same select statement then it returns in 2-3 seconds.
I didnt get anything in XPLAN.. :(
I felt Buffer Clean is cause to take time. please let me know your opinion.Are you running the query in the other session after running it from the first?
Aman....
Similar Messages
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Count (*) for select stmt take more time than execute a that sql stmt
HI
count (*) for select stmt take more time than execute a that sql stmt
executing particular select stmt take 2.47 mins but select stmt is using the /*+parallel*/ (sql optimer) in that sql command for faster execute .
but if i tried to find out total number of rows in that query it takes more time ..
almost 2.30 hrs still running to find count(col)
please help me to get count of row faster.
thanks in advance...797525 wrote:
HI
count (*) for select stmt take more time than execute a that sql stmt
executing particular select stmt take 2.47 mins but select stmt is using the /*+parallel*/ (sql optimer) in that sql command for faster execute .
but if i tried to find out total number of rows in that query it takes more time ..
almost 2.30 hrs still running to find count(col)
please help me to get count of row faster.
thanks in advance...That may be because your client is displaying only the first few records when you are running the "SELECT *". But when you run "COUNT(*)", the whole records has to be counted.
As already mentined please read teh FAQ to post tuning questions. -
Hi All,
I have cloned KSB1 tcode to custom one as required by business.
Below query takes more time than excepted.
Here V_DB_TABLE = COVP.
Values in Where clause are as follows
OBNJR in ( KSBB010000001224 BT KSBB012157221571)
GJAHR in blank
VERSN in '000'
WRTTP in '04' and '11'
all others are blank
VT_VAR_COND = ( CPUDT BETWEEN '20091201' and '20091208' )
SELECT (VT_FIELDS) INTO CORRESPONDING FIELDS OF GS_COVP_EXT
FROM (V_DB_TABLE)
WHERE LEDNR = '00'
AND OBJNR IN LR_OBJNR
AND GJAHR IN GR_GJAHR
AND VERSN IN GR_VERSN
AND WRTTP IN GR_WRTTP
AND KSTAR IN LR_KSTAR
AND PERIO IN GR_PERIO
AND BUDAT IN GR_BUDAT
AND PAROB IN GR_PAROB
AND (VT_VAR_COND).
Checked in table for this condition it has only 92 entries.
But when i execute program takes long time as 3 Hrs.
Could any one help me on this>1.Dont use SELECT/ENDSELECT instead use INTO TABLE addition .
> 2.Avoid using corresponding addition.create a type and reference it.
> If the select is going for dump beacause of storage limitations ,then use Cursors.
you got three large NOs .... all three recommendations are wrong!
The SE16 test is going in the right direction ... but what was filled. Nobody knows!!!!
Select options:
Did you ever try to trace the SE16? The generic statement has for every field an in-condition!
Without the information what was actually filled, nobody can say something there
are at least 2**n combinations possible!
Use ST05 for SE16 and check actual statement plus explain! -
Delete DML statment takes more time than Update or Insert.
i want to know whether a delete statement takes more time than an update or insert DML command. Please help in solving the doubt.
Regards.i do not get good answers sometimes, so, i ask again.I think Alex answer to your post was quite complete. If you missed some information, continue the same post, instead of opening a new thread with the same subject and content.
You should be satistied with the answers you get, I also answered your question about global indexes, and I do think my answer was very complete. You may ask more if you want, but stop multiposting please. It is quite annoying.
Ok, have a nice day -
DELETE FROM database table takes more time...
Hi Friends,
The below statement takes more time.
LOOP AT i_final.
DELETE FROM zcisconec WHERE werks = i_final-werks
AND aufnr = i_final-aufnr
AND vornr = i_final-vornr.
ENDLOOP.
Internal table I_FINAL will have more than 80,000 records.
DB Table zcisconec have 4 primary key fields out of 10 fields.
Below 4 fields are primary key fields
WERKS
AUFNR
VORNR
MATNR
Please guide me..How to optimize it?
Regards,
VijiHI,
Check this one ,
put a break point on that delete statement and add another line of code after, like .... CHECK SY-SUBRC = 0. Now got to debug and stop at the DELETE statement, check the number of records in your DB table, now hit F5 to step to the next statement, now go back to SE16 and refresh, do you see the number change? It should.........if you are selecting the data correctly, make sure that you are getting data into the IT_ table.
DELETE zcisconec from i_final.
CALL FUNCTION 'DB_COMMIT'.
Regards,
Ansari.
Edited by: Ansari Samsudeen on Sep 15, 2009 8:14 AM -
SELECT statement takes long time
Hi All,
In the following code, if the T_QMIH-EQUNR contains blank or space values ,SELECT statement takes longer time to acess the data from OBJK table. If it T_QMIH-EQUNR contains values other than blank, performance is good and it fetches data very fast.
Already we have indexes for EQUNR in OBJK table.
Only for blank entries , it takes much time.Can anybody tell why it behaves for balnk entries?
if not T_QMIH[] IS INITIAL.
SORT T_QMIH BY EQUNR.
REFRESH T_OBJK.
SELECT EQUNR OBKNR
FROM OBJK INTO TABLE T_OBJK
FOR ALL ENTRIES IN T_QMIH
WHERE OBJK~TASER = 'SER01' AND
OBJK~EQUNR = T_QMIH-EQUNR.
Thanks
AjayHi
You can use the field QMIH-QMNUM with OBJK-IHNUM
in QMIH table, EQUNR is not primary key, it will have multiple entries
so to improve the performance use one dummy internal table for QMIH and sort it on EQUNR
delete adjacent duplicates from d_qmih and use the same in for all entries
this will improve the performance.
Also use the fields in sequence of the index and primary keys also in select
if not T_QMIH[] IS INITIAL.
SORT T_QMIH BY EQUNR.
REFRESH T_OBJK.
SELECT EQUNR OBKNR
FROM OBJK INTO TABLE T_OBJK
FOR ALL ENTRIES IN T_QMIH
WHERE IHNUM = T_QMIH-QMNUM
OBJK~TASER = 'SER01' AND
OBJK~EQUNR = T_QMIH-EQUNR.
try this and let me know
regards
Shiva -
After updating the iphone 5 to IOS 6.1.3 battery drains fast. Also it takes more time to change battery status from Red to Green. Any solution?
Anyone?
Thinking I'm S.O.L at this point. -
Hi,
My emp table contains one milion of records.
delete from emp;
commit;
select count(*)
from emp;
I had perform the above three queries parallely. After applying the commit operation, To retrive the no.of records
in that table it takes some more time after that it display the result zero.
I have faced this question recently in one of the interview. why it is taking some more time..
can any one help me?Did you read the link provided?
A high water mark is the set of blocks that have at one point contained data. You
might have 1000 blocks allocated to a table but only 500 are under the HWM.
The blocks under the HWM are the blocks that will be read when the table is full scanned. In your sample code, when you insert 1Milion records, the data will reside in some number of blocks - Say 1000. Now the HWM is 1000. When you delete the data, HWM will not get reset..
And after delete, when you count, a FULL TABLE SCAN will happen. Which will scan all the blocks under HWM. So, here 1000 blocks will get read, even if there is no "data". That way your query will take time..
Whats the solution? - Do a TRUNCATE or do a SHRINK.
NOW - Tell us - What is your concern? -
Bind variable code takes more time to complete?
Hello, My database is oracle11g.
I have same plsql code and first one is without bind variable and second one is with bind variable. Usually, bind variable should take less time. But here
the bind variable takes more time than the regular code... Can any one please explain why?
SQL> alter system flush shared_pool;
System altered.
SQL> declare
2 cursor c1 is select * from emp where rownum < 50;
3 l_start NUMBER DEFAULT DBMS_UTILITY.GET_TIME;
4 v_cnt number;
5 begin
6 for i in c1 loop
7 SELECT count(*) into v_cnt
8 FROM rate
9 WHERE rate_id IN (SELECT rate_id
10 FROM ratedetail
11 WHERE benefit_id = i.benefit_id)
12 AND effective_date =
13 TO_DATE ('2011-01-23 00:00:00', 'yyyy-MM-dd HH24:MI:SS')
14 AND rate_type_id = 1;
15 end loop;
16 DBMS_OUTPUT.PUT_LINE('total minutes....'||ROUND(ROUND((DBMS_UTILITY.GET_TIME - l_start)/100, 2)
/60,3));
17 end;
18 /
total minutes.....06
PL/SQL procedure successfully completed.
SQL> alter system flush shared_pool;
System altered.
SQL>
SQL> declare
2 cursor c1 is select benefit_id from emp where rownum < 50;
3 l_start NUMBER DEFAULT DBMS_UTILITY.GET_TIME;
4 v_cnt number;
5 begin
6 for i in c1 loop
7 execute immediate 'SELECT count(*)
8 FROM rate
9 WHERE rate_id IN (SELECT rate_id
10 FROM ratedetail
11 WHERE benefit_id = :x)
12 AND effective_date = trunc(sysdate)-202
13 AND rate_type_id = 1'
14 into v_cnt using i.benefit_id;
15 end loop;
16 DBMS_OUTPUT.PUT_LINE('total minutes....'||ROUND(ROUND((DBMS_UTILITY.GET_TIME - l_start)/100, 2)
/60,3));
17 end;
18 /
total minutes.....061
PL/SQL procedure successfully completed.
SQL>Shrinika wrote:
Thanks for the clarification.. Now i understand...
One final question on this thread before i close this thread....
My database is set to CURSOR_SHARING=FORCE for some reason. It seems somebody applied a "quick and dirty fix" to "database is slow" problem. BAD PRACTICE
My question is, when we use bind variable, does it parse the sql code every time? or does it reuse the execution plan?
In my database, it reuse the execution plan... Just checking... When we set CURSOR_SHARING=FORCE, it should generate the execution plan
for every unqiue sql code... Is that correct? Am i confusing?If by "parse" you mean a "hard parse" (which generates execution plan), then the answer is NO. As you observed, it reuses execution plan.
For e.g. with CURSOR_SHARING=FORCE setting, following SQLs
select employee_no, first_name, last_name from employees where dept_no = 10 ;and
select employee_no, first_name, last_name from employees where dept_no = 20 ;would tend to reuse the same execution plan since both of these will be rewritten by oracle (before execution) as
select employee_no, first_name, last_name from employees where dept_no = :SYS01 ;Hope this helps.
Edited by: user503699 on Aug 14, 2010 3:55 AM -
Setting ECHO ON takes more time?
Hi all,
Recently, we had to run a huge file with INSERTs in production database. But before that when the same file was run in testing database, we set the ECHO on in SQL*PLUS and it took more time, I mean, the difference was huge, in fact. I wish to know if setting ECHO to ON takes more time than setting ECHO to OFF. Does this have an effect on time it takes to make the INSERTs.
Regards,
...Yingkuan,
Thanks for the reply. In fact, I know the function what ECHO does. Now suppose I have 121,000 lines of INSERT statements in a file called "inserts.sql" and I am going to execute it in SQL*PLUS to a remote server, the server being 9.2.0.8.0. Will there be a time difference in completing the scripts if I set the ECHO to ON and if I set the ECHO to OFF. Consider the following scenario:
Scenario 1
========
SQL> SET ECHO ON;
SQL> @inserts.sql;
Elapsed: 02:00:00.00
Scenario 2
========
SQL> SET ECHO OFF;
SQL> @inserts.sql;
Elapsed: 01:00:00.00
Please note the "Elapsed" time between the 2 scenarios. Will the ECHO setting impact the elapsed time? I think this setting will not cause the file to take long time to complete as it is just a client side setting. Please clarify.
Regards,
... -
Automatic DOP take more time to execute query
We upgraded database to oracle 11gR2. While testing Automatic DOP feature with our existing query it takes more time than with parallel.
Note: No constrains or Index created on table to gain performance while loading data (5000records / sec)
Os : Sun Solaris 64bit
CPU = 8
RAM = 7456M
Default parameter settings:
parallel_degree_policy string MANUAL
parallel_degree_limit string CPU
parallel_threads_per_cpu integer 2
arallel_degree_limit string CPU
cpu_count integer 8
parallel_threads_per_cpu integer 2
resource_manager_cpu_allocation integer 8
Query:
SELECT COUNT(*)
from (
SELECT
/*+ FIRST_ROWS(50), PARALLEL */
Query gets executed in 22minutes : execution plan
COUNT(*)
9600
Elapsed: 00:22:10.71
Execution Plan
Plan hash value: 3765539975
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | Pstart| Pstop |
| 0 | SELECT STATEMENT | | 1 | 21 | 2164K (1)| 07:12:52 | | |
| 1 | SORT AGGREGATE | | 1 | 21 | | | | |
| 2 | PARTITION RANGE OR| | 89030 | 1825K| 2164K (1)| 07:12:52 |KEY(OR)|KEY(OR)|
|* 3 | TABLE ACCESS FULL| SUBSCRIBER_EVENT | 89030 | 1825K| 2164K (1)| 07:12:52 |KEY(OR)|KEY(OR)|Automatic DOP Query: parameters set
alter session set PARALLEL_DEGREE_POLICY = limited;
alter session force parallel query ;Query:
SELECT COUNT(*)
from (
SELECT /*+ FIRST_ROWS(50), PARALLEL*/
This query takes more than 2hrs to execute
COUNT(*)
9600
Elapsed: 02:07:48.81
Execution Plan
Plan hash value: 127536830
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | Pstart|Pstop | TQ |IN-OUT| PQ Distrib |
| 0 | SELECT STATEMENT | | 1 | 21 | 150K (1)| 00:30:01 | | | | | |
| 1 | SORT AGGREGATE | | 1 | 21 | | | | | | | |
| 2 | PX COORDINATOR | | | | | | | | | | |
| 3 | PX SEND QC (RANDOM) | :TQ10000 | 1 | 21 | | | | | Q1,00 | P->S | QC (RAND) |
| 4 | SORT AGGREGATE | | 1 | 21 | | | | | Q1,00 | PCWP | |
| 5 | PX BLOCK ITERATOR | | 89030 | 1825K| 150K (1)| 00:30:01 |KEY(OR)|KEY(OR)| Q1,00 | PCWC | |
|* 6 | TABLE ACCESS FULL| SUBSCRIBER_EVENT | 89030 | 1825K| 150K (1)| 00:30:01 |KEY(OR)|KEY(OR)| Q1,00 | PCWP | |
Note
- automatic DOP: Computed Degree of Parallelism is 16 because of degree limitcan some one help us to find out where we did wrong or any pointer will really helpful to resolve an issue.
Edited by: Sachin B on May 11, 2010 4:05 AMGenerated AWR report for ADOP
Foreground Wait Events DB/Inst: HDB/hdb Snaps: 158-161
-> s - second, ms - millisecond - 1000th of a second
-> Only events with Total Wait Time (s) >= .001 are shown
-> ordered by wait time desc, waits desc (idle events last)
-> %Timeouts: value of 0 indicates value was < .5%. Value of null is truly 0
Avg
%Time Total Wait wait Waits % DB
Event Waits -outs Time (s) (ms) /txn time
direct path read 522,173 0 125,051 239 628.4 99.3
db file sequential read 663 0 156 235 0.8 .1
log file sync 165 0 117 712 0.2 .1
Disk file operations I/O 267 0 63 236 0.3 .1
db file scattered read 251 0 36 145 0.3 .0
control file sequential re 217 0 32 149 0.3 .0
library cache load lock 2 0 10 4797 0.0 .0
cursor: pin S wait on X 3 0 9 3149 0.0 .0
read by other session 5 0 2 429 0.0 .0
kfk: async disk IO 613,170 0 2 0 737.9 .0
sort segment request 1 100 1 1007 0.0 .0
os thread startup 16 0 1 43 0.0 .0
direct path write temp 1 0 1 527 0.0 .0
latch free 51 0 0 2 0.1 .0
kksfbc child completion 1 100 0 59 0.0 .0
latch: cache buffers chain 19 0 0 2 0.0 .0
latch: shared pool 36 0 0 1 0.0 .0
PX Deq: Slave Session Stat 21 0 0 1 0.0 .0
library cache: mutex X 45 0 0 1 0.1 .0
CSS initialization 2 0 0 6 0.0 .0
enq: KO - fast object chec 1 0 0 11 0.0 .0
buffer busy waits 3 0 0 1 0.0 .0
cursor: pin S 9 0 0 0 0.0 .0
CSS operation: action 2 0 0 1 0.0 .0
direct path write 1 0 0 2 0.0 .0
jobq slave wait 17,554 100 8,942 509 21.1
PX Deq: Execute Reply 4,060 95 7,870 1938 4.9
SQL*Net message from clien 96 0 5,756 59962 0.1
PX Deq: Execution Msg 618 56 712 1152 0.7
KSV master wait 11 0 0 2 0.0
PX Deq: Join ACK 16 0 0 1 0.0
PX Deq: Parse Reply 14 0 0 1 0.0
Background Wait Events DB/Inst: HDB/hdb Snaps: 158-161
-> ordered by wait time desc, waits desc (idle events last)
-> Only events with Total Wait Time (s) >= .001 are shown
-> %Timeouts: value of 0 indicates value was < .5%. Value of null is truly 0
Avg
%Time Total Wait wait Waits % bg
Event Waits -outs Time (s) (ms) /txn time
control file sequential re 6,249 0 2,375 380 7.5 55.6
control file parallel writ 2,003 0 744 371 2.4 17.4
db file parallel write 1,604 0 503 313 1.9 11.8
log file parallel write 861 0 320 371 1.0 7.5
db file sequential read 363 0 151 415 0.4 3.5
db file scattered read 152 0 64 421 0.2 1.5
Disk file operations I/O 276 0 21 77 0.3 .5
os thread startup 316 0 15 48 0.4 .4
ADR block file read 24 0 11 450 0.0 .3
rdbms ipc reply 17 12 7 403 0.0 .2
Data file init write 6 0 6 1016 0.0 .1
direct path write 21 0 6 287 0.0 .1
log file sync 7 0 6 796 0.0 .1
ADR block file write 10 0 4 414 0.0 .1
enq: JS - queue lock 1 0 3 2535 0.0 .1
ASM file metadata operatio 1,801 0 2 1 2.2 .0
db file parallel read 30 0 1 40 0.0 .0
kfk: async disk IO 955 0 1 1 1.1 .0
db file single write 1 0 0 415 0.0 .0
reliable message 10 0 0 23 0.0 .0
latch: shared pool 75 0 0 2 0.1 .0
latch: call allocation 26 0 0 2 0.0 .0
CSS initialization 7 0 0 6 0.0 .0
asynch descriptor resize 352 100 0 0 0.4 .0
undo segment extension 2 100 0 5 0.0 .0
CSS operation: action 9 0 0 1 0.0 .0
CSS operation: query 42 0 0 0 0.1 .0
latch: parallel query allo 4 0 0 0 0.0 .0
rdbms ipc message 37,948 97 104,599 2756 45.7
DIAG idle wait 16,762 100 16,927 1010 20.2
ASM background timer 1,724 0 8,467 4912 2.1
shared server idle wait 282 100 8,465 30019 0.3
pmon timer 3,123 90 8,465 2711 3.8
wait for unread message on 8,381 100 8,465 1010 10.1
dispatcher timer 141 100 8,463 60019 0.2
Streams AQ: qmn coordinato 604 50 8,462 14010 0.7
Streams AQ: qmn slave idle 304 0 8,462 27836 0.4
smon timer 35 71 8,382 239496 0.0
Space Manager: slave idle 1,621 99 8,083 4986 2.0
PX Idle Wait 2,392 99 4,739 1981 2.9
class slave wait 46 0 623 13546 0.1
KSV master wait 2 0 0 27 0.0
SQL*Net message from clien 7 0 0 1 0.0
Wait Event Histogram DB/Inst: HDB/hdb Snaps: 158-161
-> Units for Total Waits column: K is 1000, M is 1000000, G is 1000000000
-> % of Waits: value of .0 indicates value was <.05%; value of null is truly 0
-> % of Waits: column heading of <=1s is truly <1024ms, >1s is truly >=1024ms
-> Ordered by Event (idle events last)
% of Waits
Total
Event Waits <1ms <2ms <4ms <8ms <16ms <32ms <=1s >1s
ADR block file read 24 100.0
ADR block file write 10 100.0
ADR file lock 12 100.0
ASM file metadata operatio 1812 99.0 .3 .4 .2 .1
CSS initialization 9 100.0
CSS operation: action 11 90.9 9.1
CSS operation: query 54 100.0
Data file init write 6 16.7 16.7 16.7 50.0
Disk file operations I/O 533 88.7 2.6 .6 1.5 .2 6.4
PX Deq: Signal ACK EXT 4 100.0
PX Deq: Signal ACK RSG 2 100.0
PX Deq: Slave Session Stat 21 42.9 28.6 28.6
SQL*Net break/reset to cli 6 100.0
SQL*Net message to client 102 100.0
SQL*Net more data to clien 4 100.0
asynch descriptor resize 527 100.0
buffer busy waits 4 75.0 25.0
control file parallel writ 2003 9.3 .5 .0 .1 90.0
control file sequential re 6466 10.6 .0 .0 .0 .1 .2 89.0
cursor: pin S 9 100.0
cursor: pin S wait on X 3 33.3 33.3 33.3
db file parallel read 30 6.7 30.0 63.3
db file parallel write 1604 7.4 .1 .6 16.5 75.5
db file scattered read 403 3.7 .2 2.5 13.6 14.9 3.5 61.5
db file sequential read 1017 12.3 .8 2.3 7.3 6.6 2.0 68.8
db file single write 1 100.0
direct path read 522.2 2.2 2.1 .1 .0 1.8 17.9 75.9
direct path write 22 4.5 4.5 90.9
direct path write temp 1 100.0
enq: JS - queue lock 1 100.0
enq: KO - fast object chec 1 100.0
enq: PS - contention 1 100.0
kfk: async disk IO 614.1 100.0 .0
kksfbc child completion 1 100.0
latch free 58 46.6 27.6 15.5 10.3
latch: cache buffers chain 19 36.8 10.5 52.6
latch: call allocation 26 76.9 11.5 7.7 3.8
latch: parallel query allo 4 100.0
latch: shared pool 111 44.1 28.8 27.0
library cache load lock 2 100.0
library cache: mutex X 45 84.4 8.9 4.4 2.2
log file parallel write 861 10.0 .1 .1 89.5 .2
log file sync 172 6.4 90.1 3.5
os thread startup 332 100.0
rdbms ipc reply 18 72.2 11.1 16.7
read by other session 5 100.0
reliable message 11 81.8 9.1 9.1
sort segment request 1 100.0
undo segment extension 2 50.0 50.0
ASM background timer 1724 .8 .6 .1 .6 97.9
DIAG idle wait 16.8K 100.0
KSV master wait 13 7.7 23.1 61.5 7.7
PX Deq: Execute Reply 4060 .4 .0 .0 .1 3.4 96.0
PX Deq: Execution Msg 617 34.7 1.5 2.4 1.5 1.5 .2 .8 57.5
PX Deq: Join ACK 16 93.8 6.3
PX Deq: Parse Reply 14 71.4 7.1 14.3 7.1
PX Idle Wait 2384 .0 .6 99.3
SQL*Net message from clien 103 82.5 1.0 1.9 1.0 13.6
Space Manager: slave idle 1621 .2 99.8
Streams AQ: qmn coordinato 604 50.0 50.0
Wait Event Histogram DB/Inst: HDB/hdb Snaps: 158-161
-> Units for Total Waits column: K is 1000, M is 1000000, G is 1000000000
-> % of Waits: value of .0 indicates value was <.05%; value of null is truly 0
-> % of Waits: column heading of <=1s is truly <1024ms, >1s is truly >=1024ms
-> Ordered by Event (idle events last)Edited by: Sachin B on May 11, 2010 4:52 AM -
Hi
The following delete takes more time to execute.
DELETE FROM credential_on
WHERE credential_on_id IN (SELECT credential_on_id
FROM credential_on_appl
WHERE appn_num <= ANY (SELECT appn_num
FROM masterdriver));
Is there a way to tune this statement.
Regards,
XJDExplain plan for the delete query
OPERATION OPTIONS OBJECT_NAME OPTIMIZER
DELETE STATEMENT CREDENTIAL_ON CHOOSE
DELETE
MERGE JOIN
SORT JOIN
TABLE ACCESS CREDENTIAL_ON
SORT JOIN
VIEW VW_NSO_1
SORT UNIQUE
FILTER
NESTED LOOPS
TABLE ACCESS FULL CREDENTIAL_ON_APPL
TABLE ACCESS FULL MASTERDRIVER -
Optimizing the query - which takes more time
Hi,
Am having a query which was returning the results pretty fast one week back but now the same query takes more time to respond, nothing much changed in the table data, what could be the problem. Am using IN in the where clause, whether that could be an issue? if so what is the best method of rewriting the query.
SELECT RI.RESOURCE_NAME,TR.MSISDN,MAX(TR.ADDRESS1_GOOGLE) KEEP(DENSE_RANK LAST ORDER BY TR.MSG_DATE_INFO) ADDRESS1_GOOGLE,
MAX(TR.TIME_STAMP) MSG_DATE_INFO FROM TRACKING_REPORT TR, RESOURCE_INFO RI
WHERE TR.MSISDN IN ( SELECT MSISDN FROM RESOURCE_INFO WHERE GROUP_ID ='4'
AND COM_ID='12') AND RI.MSISDN = TR.MSISDN
GROUP BY RI.RESOURCE_NAME,TR.MSISDN ORDER BY MSG_DATE_INFO DESCHi
i have followed this link http://www.lorentzcenter.nl/awcourse/oracle/server.920/a96533/sqltrace.htm in enabling the trace and found out the following trace output, can you explain the problem here and its remedial action pls.
SELECT RI.RESOURCE_NAME,TR.MSISDN,MAX(TR.ADDRESS1_GOOGLE) KEEP(DENSE_RANK
LAST ORDER BY TR.MSG_DATE_INFO) ADDRESS1_GOOGLE, MAX(TR.TIME_STAMP)
MSG_DATE_INFO
FROM
TRACKING_REPORT TR, RESOURCE_INFO RI WHERE RI.GROUP_ID ='426' AND
RI.COM_ID='122' AND RI.MSISDN = TR.MSISDN GROUP BY RI.RESOURCE_NAME,
TR.MSISDN
call count cpu elapsed disk query current rows
Parse 1 0.01 0.02 0 0 0 0
Execute 1 0.00 0.00 0 0 0 0
Fetch 6 13.69 389.03 81747 280722 0 72
total 8 13.70 389.05 81747 280722 0 72
Misses in library cache during parse: 1
Optimizer goal: CHOOSE
Parsing user id: 281
Rows Row Source Operation
72 SORT GROUP BY
276558 NESTED LOOPS
79 TABLE ACCESS FULL RESOURCE_INFO
276558 TABLE ACCESS BY INDEX ROWID TRACKING_REPORT
276558 INDEX RANGE SCAN TR_INDX_ON_MSISDN_TIME (object id 60507)
********************************************************************************and the plan_table output is
STATEMENT_ID TIMESTAMP REMARKS OPERATION OPTIONS OBJECT_NODE OBJECT_OWNER OBJECT_NAME OBJECT_INSTANCE OBJECT_TYPE OPTIMIZER SEARCH_COLUMNS ID PARENT_ID POSITION COST CARDINALITY BYTES OTHER_TAG PARTITION_START PARTITION_STOP PARTITION_ID OTHER DISTRIBUTION CPU_COST IO_COST TEMP_SPACE ACCESS_PREDICATES FILTER_PREDICATES
23-Mar-11 23:36:45 SELECT STATEMENT CHOOSE 0 115 115 1058 111090 115
23-Mar-11 23:36:45 SORT GROUP BY 1 0 1 115 1058 111090 115
23-Mar-11 23:36:45 NESTED LOOPS 2 1 1 9 4603 483315 9
23-Mar-11 23:36:45 TABLE ACCESS FULL BSNL_RTMS RESOURCE_INFO 2 ANALYZED 3 2 1 8 1 30 8 "RI"."GROUP_ID"=426 AND "RI"."COM_ID"='122'
23-Mar-11 23:36:45 TABLE ACCESS BY INDEX ROWID BSNL_RTMS TRACKING_REPORT 1 ANALYZED 4 2 2 1 3293 246975 1
23-Mar-11 23:36:45 INDEX RANGE SCAN BSNL_RTMS TR_INDX_ON_MSISDN_TIME NON-UNIQUE 1 5 4 1 1 3293 1 "RI"."MSISDN"="TR"."MSISDN" -
Why view have no stored data ? And what is the reason view take more time
Why view have no stored data ? And what is the reason view take more time to query ?
what happen if a view have stored data?user12941450 wrote:
I want to know the reason that why querying view is slower then querying a normal table?..Untrue.
For example take a table with 2laks record and a view for that table.
If i make a query like( Select name,address from table) then it works fast then select(name,address)from view..Incorrectly interpreting the results.
A view is a SQL statement. Only difference is that the SQL statement is stored in the database's dictionary. Let's consider the following view:
create or replace view foo_view as select * from empWhen you use the view as follows:
select * from foo_viewOracle sees it as follows:
select * from (select * from emp)This is no slower, or no faster, than providing the following SQL to Oracle:
select * from empSo if you observe a difference in performance between using plain SQL versus using that same SQL via a view, there are other reasons for that difference in performance. The reason is NOT that views are slower. -
Hi all
I want to fetch just twenty thousands records from table. My query take more time to fetch twenty thousands records. I post my working query, Could you correct the query for me. thanks in advance.
Query
select
b.Concatenated_account Account,
b.Account_description description,
SUM(case when(Bl.ACTUAL_FLAG='B') then
((NVL(Bl.PERIOD_NET_DR, 0)- NVL(Bl.PERIOD_NET_CR, 0)) + (NVL(Bl.PROJECT_TO_DATE_DR, 0)- NVL(Bl.PROJECT_TO_DATE_CR, 0)))end) "Budget_2011"
from
gl_balances Bl,
gl_code_combinations GCC,
psb_ws_line_balances_i b ,
gl_budget_versions bv,
gl_budgets_v gv
where
b.CODE_COMBINATION_ID=gcc.CODE_COMBINATION_ID and bl.CODE_COMBINATION_ID=gcc.CODE_COMBINATION_ID and
bl.budget_version_id =bv.BUDGET_VERSION_ID and gv.budget_version_id= bv.budget_version_id
and gv.latest_opened_year in (select latest_opened_year-3 from gl_budgets_v where latest_opened_year=:BUDGET_YEAR )
group by b.Concatenated_account ,b.Account_descriptionHi,
If this question is related to SQL then please post in SQL forum.
Otherwise provide more information how this sql is being used and do you want to tune the SQL or the way it fetches the information from DB and display in OAF.
Regards,
Sandeep M.
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