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]....
The below query takes more than 30 minutes to return data.All the objects used are views. There is no direct reference to any table.The views with _mnth_ have data for 7 distinct months. The base table for all the views have a composite PK on the columns AR_ID (or ACCT_AR_ID),MSRMNT_PRD_ID
I need the order by, as the query is part of informatica code, and the order by works in the further processing.
SELECT ac.ar_id AS acct_ar_id, m.msrmnt_prd_dt AS msrmnt_prd_dt --removed the rest of column list to reduce size of code. FROM edxf.ar_rsrv_mnth_v ac, edxf.crdt_acct_mnth_v c, edxf.crdt_acct_v ca, (SELECT msrmnt_prd_id, msrmnt_prd_dt FROM edxf.msrmnt_prd_v WHERE msrmnt_prd_id = [code]....
Also, the count of data in the views is as below.
ViewTotal countCount for 1 msrmnt_prd_id --------------------------------------------------------- ar_rsrv_mnth_v1841892281945 crdt_acct_mnth_v664941457087369 crdt_acct_v12258728NA
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
I am working with a new client and am still waiting on access to systems so I'm a bit hampered in looking at details of the database and environment. The database is OLTP and typical response time for returning result sets is under 2 seconds, often less than 1 second.
A simple SELECT on a few columns of v$session_longops (no subqueries, group by, having, etc) ran for more than 5 minutes.
I am running the following delete query and it has been running for over 2hrs:
delete from dw.ACCOUNT_FACT where rowid in (select rowid from DW.ACCOUNT_FACT minus select max(rowid) from DW.ACCOUNT_FACT
[Code]..
Here is the explan plain result:
explain plan for delete from dw.ACCOUNT_FACT where rowid in (select rowid from DW.ACCOUNT_FACT minus select max(rowid) from DW.ACCOUNT_FACT group by CRTORD_FIPS_CD, LAST_PAYMENT_DT, ORDER_NUM,
Predicate Information (identified by operation id): ---------------------------------------------------
2 - access(ROWID="$kkqu_col_1")
I have all constraints disabled. How do I make this delete finish faster? We're trying to remove duplicates from this table using the criteria giving in the statement.
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');
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?
In one of my application oracle net connection is taking 30 to 40 ms(tnsping servicename),but in actual connection is always taking more than 45 ms, and my application requirement is below than 10 to 20 ms.
And can i use any other connection method like hostname, ezconnect etc.
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.
I used select distinct(work_order) to come up with the three different possible scenarios the problem is that i need all this information on a single row
this is a conversion for distance. when i get this to work properly, it will generate reports on thousands of work orders with their converted distance markers.
I want to use a function in join clause. so i go for pipelined function(using for loop to get record & 1 more loop to fetch in table type variable). i achieved what i required. but problem is it takes much time to fetch data. is there any other approach which returns table records without pipelined function.
what the principal things to look at when we have for the same query different performance results are?I have 2 different bases: the plan and data are the same but performance results are very differents.
INSERT INTO tra VALUES (2, 20503, SDO_GEOMETRY (2001, NULL, SDO_POINT_TYPE (1387, 0, NULL), NULL, NULL), 23037 ) /
and( position) indexed as Rtree spatial index
now when i run spatial query such as
SELECT * FROM tra t WHERE SDO_FILTER(t.position, MDSYS.SDO_GEOMETRY(2001,NULL,NULL, MDSYS.SDO_ELEM_INFO_ARRAY(1,1003,3), MDSYS.SDO_ORDINATE_ARRAY(0,0,9000,0)), 'querytype=WINDOW') = 'TRUE' and t.position.sdo_point.X=1;
i do not know how many IO accrued ?
i tried set autotrace on
but the physical read is 0 , this is not possible because i have more than 100000 objects there and all indexed as R-tree
select gam.SOL_ID,COUNT(gam.FORACID) from gam,smt where gam.ACID=smt.ACID and gam.ACID NOT IN(select ACID from imt) and gam.SCHM_TYPE in('SBA','CCA','CAA','ODA') and GAM.ACCT_CLS_FLG='N' and gam.SOL_ID IN(select SOL_ID from IMT) group by gam.SOL_ID /
attached is the explain plan.
in which index on IMT table is not used. And the query is doing a FTS on IMT table. What needs to be done to avoid FTS on IMT table.
Is there any way to tune the following query using lot of CPU:-select description,time_stamp,user_id from bhi_tracking where description like 'Multilateral:%'The explain plan for this is query is:-
Bhi_tracking is used for reporting purpose and contain millions of records.Generally we keep one year data in this table and delete the remaining.Can I drop the table after taking export and then import it back or can i truncatethe table and then insert the rows into it to enhancethe performance.
It is taking different approaches (execution plans) while executing for same set of parameters. Due to which sometimes it executes successfully, but sometimes it fills all TEMP space and get failed. I am pasting both the execution plan (different from expalin plan) below:
We are facing performance issues on our production instance 10g(10.2.0.4) 32-bit OELinux 5.3 2GB SGA. The performance is mainly related to one of the table which is sized about 32Gb. We have rebuild the indexes as well but problemstill persist. We are considering to pin SQL statement in shared pool which is hitting the same table frequently. But as far what we have find, is that we can only pin procedures or function in shared pool. True/false?If we can, then how to pin SQL statement in shared pool?If we can not, then is there any other way?
I am facing a weird situation wherein the explain plan of same sql in SIT and PROD is different.In fact the explain plan is very costly in Prod.Also the DB version of both SIT and PROD is same.
Below is the sql and corresponding explain plan in Prod and SIT respectively.
Query: SELECT seq,CCN,ProcessorPart,root_item,comp_path,Item,comp_item,comp_item_type, lag(comp_item_type,1,'PART') over(PARTITION BY seq ORDER BY lvl)Nxt_comp_item_type,lvl,bom_qty, ROUND(CASE min(abs(bom_qty)) OVER (PARTITION BY seq ORDER BY lvl) WHEN 0 THEN 0 ELSE 1 END * EXP (SUM (LN (nullif(abs(bom_qty),0))) OVER (PARTITION BY seq ORDER BY lvl))) Ulti_qty, 'AMER'
[code]...
The tables referred in above query is small tables containing arnd 10k records.The above tables are partitioned on Region and not indexed.
I am not able to attribute why there is a huge change in Cost between SIT and Prod.Apparently the Job is going for 3-5 hours which used to get completed within 20mins in SIT.
When i run a script that does a select from a single table (table has 33521868 records)the query is executed in about .094 seconds. I use the exact same query to insert into a temporary table and the query takes 10 minutes and more.
What should I be doing to speed up this process. Also tried using hints and it does not speed up the insert.
I have a query optimized as to it indexes and others runs immediately when the answer is few records in SQL Server such as Oracle, however when the result is large eg 20,000 records all data access times are very diferent. The query returns many fields (about 20) and some of them are of type Varchar 250 and some of 2000 I understand here may be the problem, but not is because for similar results (20,000 records) sql run in 2 seconds and Oracle but it responds little to have full data takes around 30 seconds. The problem is really in bringing information to all these fields since if the inquiry it also but only returning a numeric field is done in 2 seconds. Tests I've done them both through ODBC, in the Toad as in the own Oracle console on the server, so it is not problem Driver or flow of data through the network, I would like to think that this is some of the settings I think there is as much difference between Oracle and Sql. The databases are ORACLE 10 and SQL Server 2008.
There is a table in Database with millions of records and a query --- Select rowid, ANI, DNIS, message from tbl_sms_talkies where rownum<=:"SYS_B_0" ---- using the high CPU and also this query having high number of executions.
The requirement is I have to get the details of all data of previous Active cycle(status A) when the Item became disabled(status = D) for Input date.
In above case,since for Item P1 and on cycle date 04-Nov-12,status is D,I have to consider the previous active cycle which is 03-Nov-12. Based on above std date,the data is queried from another table to get all the Items. Item P2 should not be considered in above case.
Below is the code which I have written which considers the rundate as Input parameter.
-- To get the Items disabled for Input date with Itemdisabled as ( select item,stddate maxcycledate from Item_tbl where rundate = stddate
[code]....
In above case,I'm querying the Item_tbl twice once for getting the disabled Items and once for getting the Previous cycle which is active.
Is there any way to query above only once and get the required results using Lag/Lead functions etc.
How do i find a particular SQL or a set of SQL's which are excuted against a table (user identified table) that is either a very frequently executed query against that table or high impact SQL against that table? I am currently looking through the AWR reports to go through all the queries but i was wondering if there are any dictionary views where we can find this info from?
