For an query, cost was 16Lakhs and was taking 30min, I brought down the cost to 1.5lakhs, but still it is taking 30min.
There were many outer joins and same table has been Used(FROM clause) 5 times in the query. I have introduced WITH clause, and brought down the cost.
select
serialnumber from product where productid in
(select /*+ full parallel(producttask 16) */productid from producttask where
startedtimestamp > to_date('2013-07-04 00:00:00', 'YYYY-MM-DD HH24:MI:SS')
and startedtimestamp < to_date('2013-07-05 00:00:00', 'YYYY-MM-DD HH24:MI:SS')
and producttasktypeid in
[code]....
Explain plan output:
Plan hash value: 2779236890
-----------------------------------------------------------------------------------------------------------------------------------------
| Id | Operation | Name| Rows| Bytes | Cost (%CPU)| Time| Pstart| Pstop |
-----------------------------------------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT || 1 | 29 | 9633M (8)|999:59:59 |||
|* 1 | FILTER |||| ||||
| 2 | PARTITION RANGE ALL || 738M| 19G| 6321K (1)| 21:04:17 | 1 | 6821 |
[code]....
Predicate Information (identified by operation id):
---------------------------------------------------
1 - filter( EXISTS (<not feasible>)
4 - filter("PRODUCTID"=:B1)
5 - filter(ROWNUM<100)
12 - access("MODELID"=:B1)
[code]....
Note: - SQL profile "SYS_SQLPROF_014153616b850002" used for this statement
The below query is taking high CPU almost 98% and longer time to execute.
SELECT ancestor,
Max(D.alarmstate) ALARMSTATE,
Max(D.sialarmstate) SIALARMSTATE,
Max(D.uncralarmstate) UNCRALARMSTATE,
Max(M.commstate) COMMSTATE,
Max(M.nncommstate) NNCOMMSTATE,
Max(M.servicestate) SERVICESTATE,
Max(M.abnormal) ABNORMAL,
CASE
[code]....
I have Following wjich takes some minutes to executes i want to be tune so this query Executes fast.
Query :
SELECT a.CHDR_EXCH_CD ,TMHR_EXCH_TM_CD,'S' Sec_type,
round(SUM (Decode(csdt_Depo_Typ,'I',(Cal_Scheme_Rate(csdt_rsm_code,TO_DATE(:P_DT_FR,'DD-MM-RR'),csdt_stsc_cd,csdt_scp_qty)*csdt_scp_qty)-
(Cal_Scheme_Rate(csdt_rsm_code,TO_DATE(:P_DT_FR,'DD-MM-
[Code]...
Explain Plan Result :
Plan
SELECT STATEMENT ALL_ROWS
Cost: 1,669 Bytes: 67 Cardinality: 1
15 HASH GROUP BY
Bytes: 67 Cardinality: 1
14 CONCATENATION
[Code].....
After i see result , no 4 in explain plan result gives TABLE ACCESS FULL . i want to be indexing on that how to do this..
This table MG_COLL_SCP_DTL have index like this
CREATE UNIQUE INDEX CSDT_PK ON MG_COLL_SCP_DTL
(CSDT_CHDR_TRANS_NUM, CSDT_PROD_TYP, CSDT_TRAN_SR_NO, CSDT_CHDR_CDTL_COLL_TYP, CSDT_CHDR_CDTL_COLL_TYP_CD,
CSDT_STSC_CD, CSDT_CHDR_CLNT_CD, CSDT_CHDR_CLNT_TM_CD)
[Code]....
How to Reduce cost ???
I have one query in my production which is taking more CPU time. when that statement executing the CUP is taking more than 90%
I am attaching the sql query and indexes on the table.
In my code I am using delete statement which is taking too much time to execute.
Statement is as follow:
DELETE FROM TRADE_ORDER_EMP_ALLOCATION T
WHERE (ARTEMIS_SOURCE_SYSTEM_ID,NM_ARTEMIS_SOURCE_SYSTEM,CD_BOOK_KEY,ACTIVITY_DT)
IN (SELECT ARTEMIS_SOURCE_SYSTEM_ID,NM_ARTEMIS_SOURCE_SYSTEM,CD_BOOK_KEY,ACTIVITY_DT
FROM LOAD_TRADE_ORDER
WHERE IND_IS_BAD_RECORD='N');
Tables Used:
oTRADE_ORDER_EMP_ALLOCATION Row count (329525880)
oLOAD_TRADE_ORDER Row count (29281)
Every column in "IN" clause and select clause is containing index on it
Every time no of rows which to be deleted is vary (May be in hundred ,thousand or hundred thousand )so that I am Unable to use "BITMAP" index on the table "LOAD_TRADE_ORDER" column "IND_IS_BAD_RECORD" though it is containing distinct record in it.
Even table "TRADE_ORDER_EMP_ALLOCATION" is containing "RANGE" PARTITION over it on the column "ARTEMIS_SOURCE_SYSTEM_ID". With this I am enclosing table scripts with Indexes and Partitions over it.
way for fast execution in of above delete statement?
The below query is taking more than 5minutes to return the data for any criteria.The big tables are
SECURITY_POSITION_SUMMARY -- 60Million
WEB_TEAM_X_ACCOUNT_BM -- 26Million
and the rest of those are small tables..All the indexes are in place and I have tried with few hints but this query is slow.
WITH REPS
AS (SELECT DISTINCT REP_SET.FILTER_TOKEN
FROM (SELECT /*+ INDEX (wdsd WEBDATASETDTL_PK_TEAM) */
DISTINCT
WDSD.DATA_SETTING_ID, WDSD.FILTER_TOKEN
FROM WEB_DATA_SETTING_DETAIL WDSD,
[code]....
I am facing one performance issue, in which the query cost is very low compare to cpu cost and as a result the cpu always show the high graph.I am also attaching the gv$sql and gv$sql_plan data of this query.
This is the query:
SELECT PTLS.ITEMTYPE , PTLS.ITEMID , PTLS.STAGEID, TS.USERID, SUM(PREVIOUSHOURS) AS PREVIOUSHOURS, MIN(STARTDATE) AS STARTDATE, MAX(STARTDATE) AS ENDDATE FROM PROJECTTIMELOGSSTAGE PTLS, PROJECTTIMESHEETITEM PTSI, TIMESHEET TS WHERE PTLS.PROJECTID = :B2 AND TS.TIMESHEETID = PTSI.TIMESHEETID AND TS.USERID = :B1 AND PTSI.TIMESHEETID = PTLS.TIMESHEETID AND PTSI.ITEMTYPE = PTLS.ITEMTYPE AND PTSI.ITEMID = PTLS.ITEMID AND (PTSI.ISPWFITEM = 'N' OR PTSI.ISPWFITEM IS NULL) AND PTLS.ITEMTYPE NOT IN ('OtherTsk','NewTsk','Loc','Glb') AND (PTLS.ITEMTYPE, PTLS.ITEMID ) IN (SELECT ITEMTYPE, ITEMID FROM PROJECTTIMELOGSSTAGE PTLS1 WHERE PTLS1.PROJECTID = :B2 AND PTLS1.TIMESHEETID = :B3 ) GROUP BY PTLS.ITEMTYPE, PTLS.ITEMID, PTLS.STAGEID, TS.USERID
I am working on Tuning a Materialized view. I was getting an error saying ORA-12008: error in materialized view refresh path
ORA-12801: error signaled in parallel query server P002, instance hrms-stg-db01:HRSTG1 (1)
ORA-01652: unable to extend temp segment by 16 in tablespace TEMP1.
so i increased the temp size. I am trying out various hints to get it rectified. But i am not sure if i should go for less cost or less bytes.
how to reduce the cpu cost for a query at query level.
View 10 Replies View RelatedFollowing is the query on TPC-H schema.
explain plan for select
count(*)
from
orders,
lineitem
where
o_orderkey= l_orderkey.
The trace 10053 (as shown below) for this query shows nested loop join with Lineitem as outer table and Orders as inner table. It is effectively join on composite index (pk_lineitem) of Lineitem and unique index(Pk_orderkey) of Orders table. The cost calculation formula as given in the book as "outer table cost + cardinality of outer table * inner table cost " fails here. I am not able to understand this.
BASE STATISTICAL INFORMATION
***********************
Table Stats::
Table: LINEITEM Alias: LINEITEM
#Rows: 6001215 #Blks: 109048 AvgRowLen: 124.00
Column (#1): L_ORDERKEY(NUMBER)
AvgLen: 6.00 NDV: 1500000 Nulls: 0 Density: 6.6667e-07 Min: 1 Max: 6000000
[code]....
how the cost has been calculated. This does not follow the traditional nested loop cost formula as mentioned in the book.
why different elapsed time in Oracle9i and oracle10g for the same query ?
View 2 Replies View RelatedI have a Query(report) which is running in <5 mins in one Scheme, where as the same is running for a long time in second schema. I have identified that an Index is scanning for more than 2000 Millions of records in second Schema, but this is scanning only 440 Millions in First Schema and hence it is fast. I am expecting the same to be done in Second schema.
I have verified the following
All records in tables in 2 schemas are same.
All indexes are same
Analyzed the tables
Gathered Histogram on all the columns as per the first schema.
But now i still have the same problem, don't know what could be the problem.
Table_nameNum_RowsBlocks
PRPSL_LST_T5866107159
PRPSL_WKFLW_ACTVTY_T5829904030
ITEM_CHR_VAL_T5134340104049020
ITEM_RGN_ASSN_T8571220137215
Also attached 2 screen shots of OEM Plans..
I wish to run a SQL query and measure elapsed time, then compare the values to other Oracle DBs from other companies. That will give me a feeling if our DB performs well.For example in UNIX world, you can create a random 4GB file to measure throughput I/O and compare the values (for example 4MB/sec).
What's the simplest way to compare DB response time from forum members to our own DB? I don't need 100% accurate numbers.
How to find time log for query or any procedure like start time and end time and total time.
So that I can tune that queries properly.
Also how can we find estimated query running time.?
I want to know how I can find which query is taking more time , for example some query's are run from unix, java and from toad,sqlplus. and one query is taking much more time to execute, so how i can get that query and all the details.
View 2 Replies View RelatedI have a query which is executing fast in dev env,but very long time in qa env.What is the criteria when this behaviour occurs.Though qa is having more data than dev.But still it is taking long time for 1 rows also.When I am using the query rownum<=1.So What to check for this.
View 6 Replies View RelatedMy oracle database version is 11.2.0.3.0 where i am having one schema in that schema i am having 3 same tables with same structure same data but with different name.
but problem is in first table when i perform select query it takes 5 sec, in another table it is taking 0 sec and in third table it is taking 10 sec.
I have a question about database fragmentation.I know that fragmentation can reduce performance in query times. The blocks are distributed in many extents and scans process takes a long time. Oracle engine have to locate the address of the next extent..
I want to know if there is any system view in which you can check if your table or index has high fragmentation. If it's needed I will have to re-create, move or rebulid the table or index, but before I want to know if the degree of fragmentation is high.
Any useful script or query to do this, any interesting oracle system view?
Somewhere I read that we should not use hints in Oracle production environments, but we can use hints in the development environment and on achieving the desired execution plan we can adjust the 'statistics' to follow that plan without hints.
Q1. If it is true what statistics do we adjust for influencing the execution plan and how?
For example, I have the following simple query:
select e.empid, e.ename, d.dname
from emp e, dept d
where e.deptno=d.deptno;
emp.empid, emp.deptno and dep.deptno columns have indexes and the tables have the standard structure as found in the basic oracle examples.
If I look at the execution plan of the above query then I see that the driving table is empand the driven table is dept.Also the type of join that is taking place is 'Nested Loop'.
Questions: With respect to the above query,
Q 2. If I want to make dept the driving table and emp the driven table then how can I adjust the statistics to achieve that?
Q 3. If I want to use hash join instead of a nested loop join then then how can I adjust the statistics to achieve that?
I can put the ordered and the use_hash hint to effect this but again I have heard that altering statistics is a more robust way to control an execution plan as compared to hints.
update xml eating up a lot of time is there any way to tune
SELECT UPDATEXML(:B3 , '/FCUBS_RES_ENV/FCUBS_BODY/FLD/FN[@TYPE="' || :B2 ||
'"]', :B1 )
FROM
DUAL
call count cpu elapsed disk query current rows
------- ------ -------- ---------- ---------- ---------- ---------- ----------
Parse 1 0.00 0.00 0 0 0 0
Execute 499 0.44 0.90 0 3 0 0
Fetch 499 1.49 2.87 0 0 0 499
------- ------ -------- ---------- ---------- ---------- ---------- ----------
total 999 1.93 3.77 0 3 0 499
real code
SELECT updatexml(l_xml,
'/FCUBS_RES_ENV/FCUBS_BODY/FLD/FN[@TYPE="' ||
upper(replace(cspkes_misc.fn_getparam(p_parent_list,
l_parent_list_clob,
'Y',
l_cnt,
'>'),
'-',
'_')) || '"]/text()',
l_fn_str)
INTO l_xml
FROM dual;
How can i check the avg time taken by an execution plan. Actually i have a very big query and it changes its execution plan very often, we would like to lock the best execution plan and to find it , i would like to know the Average Execution Time the query takes when it runs using different different execution plans.
View 7 Replies View RelatedTill statspack we had
elapsed time = time spent on waits + time CPU was used
Total time during snaps = Elapsed time + (may be) time waited for CPU...In AWR is it possible to draw such equation? I can see that the AWR report has following elements
1) End Snap time - Begin Snap time
2) DB time - as mentioned at the top of AWR report
3) DB CPU - in "Top 5 Timed Foreground Events" (I assume this is 'CPU used by sesson timing' in statspack)
4) Total of time for all Statistics in "Time Model Statistics"
5) BUSY_TIME + IDLE_TIME - "Operating System Statistics"
Time between 2 snapshots? or what else? Also for which seconds to multiply to 'DB Time(s)' per second and 'DB CPU(s)' per second in Load Profile to get the db time and CPU time?
For example, we have a table ACCOUNT (snowflake dimension containing other dimension keys) and I have many fact tables based on this dimension. Normally data warehouse load happens like first dimensions needs to be loaded and then facts. Our frequency of loads is 30 mins.
To increase the rate in which the data will be available in the facts (as its a financial application), am considering to have two batches one with dimension and another one with fact (came to this conclusion as there is no dependency like first dimensions to be loaded then only fact) just the update might get missed sometimes. But if I do that, when dimension gets loaded, it will be read in the facts in another session. Will this affect the performance ?
LOADING (insert/update) and selecting data from table at the same time. Will it affect the performance in any way.
I understand that when data is read from the disk, I/O is done..And When computations are done then CPU is used..Then where the following equation fits?
DB Time = sum of database CPU time + waits
Is I/O considered as a part of CPU time?
Does this equation changes with SAN, OS caching?
Elapsed Time (s)CPU Time (s)Executions Elap per Exec (s) % Total DB TimeSQL IdSQL ModuleSQL Text
3,263 32 1 3263.49 2.79 3ta0ms19fvgds httpd.exe SELECT CASE WHEN COUNT >= 1...Elapsed
6,360 164 2 3180.17 5.44 51jx99dm0swv7 cpm_srvscript@ahcaxasmil1b (TNS V1-V3) SELECT /*+ CCL<PFT_GET_RP...
On AWR, I see two script that are out of ordinary, and I want to make sure that I interpret them correctly.
1) "Elap per Exec (s)" shows 3263.49 with 1 "Executions".
2) "Elap per Exec (s)" shows 3180.17 each execution with 2 "Executions".
Does this mean that this script ran for ~ 54 minutes (3263.49 / 60 seconds) for 1 "Execution" and ~ 53 minutes (3180.17 / 60 seconds) per each execution? I need to understand "Elapsed Time (s),CPU Time (s),Executions ,Elap per Exec (s), % Total DB Time" represent.
I have a table which contains 8,21,177 amount of data totally.Now I am trying to delete around 4,84,000 of data from this table by using just one filter i.e. my query is something like below
DELETE /*+ parallel(resource,4) */ FROM resource where created_by = 'MIGN'
This is going to delete 4,84,000 rows of data . But my current issue is this is taking lots of time to delete the data . To be precise , its almost taking 25 hours to delete this data..The created_by column is indexed .
Execution Plan
----------------------------------------------------------
Plan hash value: 2389236532
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time
|
--------------------------------------------------------------------------------
| 0 | DELETE STATEMENT | | 499 | 20459 | 39 (0)| 00:00:
01 |
| 1 | DELETE | RESOURCE | | | |
[code]....
The problem was describe:
- First time to execute: Using all indexes on 2 tables
- Second time to execute: Using only indexes on first table, full table scan on the other
- Third time to execute: Do FTS on both of tables.
Now, I show the objects and relate information here:
The Tables:
system@dbwap> select count(*) from my_wap.news_relation;
COUNT(*)
----------
272708
system@dbwap> select count(*) from my_wap.news_content;
COUNT(*)
----------
95092
system@dbwap> desc my_wap.news_content;
Name Null? Type
----------------------------------------------------- -------- ----------------
ID NOT NULL NUMBER(11)
SUBJECT NOT NULL VARCHAR2(500)
TITLE VARCHAR2(4000)
STATE NUMBER(1)
IMGPATH VARCHAR2(500)
ALIGN VARCHAR2(10)
[Code]....
Test1 table have around 385772300 rows. below delete and select statment talking lot of time.
Select stament taking more than 1 hrs.
SELECT TO_NUMBER(MAX(f.T3))
--INTO v_FISCAL_MONTH_ID
FROM Test1 f;
delete statment taking more than 2 hours
DELETE FROM TEST1 WHERE TRUNC(T10) < TRUNC(ADD_MONTHS(SYSDATE,-36));
CREATE TABLE Test1
(
[Code].....
Yesterday, there were performance issue at server. So today, when i am generating report for that particular period, found snapshot id sequence is serially but with skipped hourly timed. Instead of generating report at 15:30, it generated at 16:30.
Enter value for num_days: 2
Listing the last 2 days of Completed Snapshots
Snap
Instance DB Name Snap Id Snap Started Level
------------ ------------ --------- ------------------ -----
tagidev TAGIDEV 2857 10 Sep 2013 00:30 1
2858 10 Sep 2013 01:30 1
2859 10 Sep 2013 02:30 1
2860 10 Sep 2013 03:30 1
2861 10 Sep 2013 04:30 1
2862 10 Sep 2013 05:31 1
[code]....
Below are the details at alert log -
Tue Sep 10 14:28:20 2013
Thread 1 cannot allocate new log, sequence 7029
Checkpoint not complete
Current log# 2 seq# 7028 mem# 0: E:APPORACLEORADATATAGIDEVREDO02.LOG
Thread 1 advanced to log sequence 7029 (LGWR switch)
[code]....
1) why snap didn't started at 15:30?
2) since database just started at the scheduled time of AWR snap time. But generated at 16:32 instead of 16:30, though last services "SMCO" is started at 16:42. How it snap id generated for this particular time?
3) what does "kewastUnPackStats(): bad magic 1 (0x000000001B3CE48D, 0)" mean?