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
when i runnung the explain plan syntax , show error : running --- SELECT * FROM TABLE(dbms_xplan.display) ; ERROR: an uncaught error in function display has happened; please contact Oracle support Please provide also a DMP file of the used plan table PLAN_TABLE ORA-00904: "OTHER_TAG": 無效的 ID
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.
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?
I don't have any dba privileges, can you share a scripts which can tell how many block my query is fetching with or without indexes. How do i also get buffer hit, how can i get i/o without sql trace as i don't have access to dump_dest
I have a below query
SELECT DISTINCT ser_id AS STA_ser_id, rct_name AS STA_name FROM sd_servicecalls, rep_codes, rep_codes_text WHERE ser_sta_oid = rcd_oid AND rcd_oid = rct_rcd_oid AND rct_name IN ('New', 'Awaiting Approval', 'Approved', 'In Progress', 'Awaiting Supplier', 'Awaiting RFC', 'Awaiting Release', 'Pending Release', 'On Hold', 'Resolved', 'Implemented', 'Closed');
Does large hash value in explain plan mean more resource needed and more time to execute the query, How can i use ADDM for the above sql.
select distinct S.ID ID from ods.hso_Scheduled H, ods.SO_SCHEDULED S where S.insertion_date >= to_date('01-DEC-2011') and S.insertion_date < to_date('01-FEB-2012') and H.ID=S.ID
Both the involved tables, HSO_SCHEDULED is having 15 million records and SO_SCHEDULED table is having 7 million records.
I have created following indexes on these tables:
Indexes on SO_SCHEDULED: Index name Column name SS_IDX1ID, SO_SUB_ITEM__ID SS_IDX2INSERTION_DATE SS_IDX3ID, INSERTION_DATE SS_IDX4ID, SO_SUB_ITEM__ID, INSERTION_DATE SO_SCHEDULED_ID_PKID
I 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.
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
when am trying to use nvl for one condition it is taking lot of time to execute but when am removing nvl function then the query executing in 2 min. condition is given below
Below query is degrading the performance of database. As we know that, without where clause, query do full table scan.Now, it is written to generate the sequence no.
SQL> explain plan for 2 SELECT NVL(MAX(P.NUM_SERIAL_NO), 0) + 1 FROM CNFGTR_IRDA_ENVELOPE_DTLS P 3 / Explained. SQL> select * from table(dbms_xplan.display()); PLAN_TABLE_OUTPUT ---------------------------------------------------------------------------------------------------- Plan hash value: 3345343365 ------------------------------------------------------------------------------------------------ | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | ------------------------------------------------------------------------------------------------
I have a query which takes 5 minutes when run through the java app which uses hibernate. I've cut and pasted the SQL directly from hiberate trace file and run it in sqlplus/sqldeveloper and it runs instantly (0.01 seconds)(uses the index all ok and explain plan looks good - see below.) I don't know how to get the explain plan when it's running through the app or why it should be any different anyway as the query is identical.
My query is as follows:
SELECT /*+ INDEX (SPD SPD_SEQ_CODE) */ SPD.* FROM SEQ_ADDR_DATA SPD, SEQ_ADDR_LEVELS SPL WHERE SPD.SPVR_ID = '10' AND SPL.SPLE_ID = SPD.SPLE_ID AND SPL.SPLE_LEVEL <= '2' AND SPDA_ID NOT IN [code]....
How can i check if paging happening while running the query. As i have 4gb of PGA target but the query is taking long time in parallel and has hash join.
I have a SQL query where I am making UNION of two select statements. The table that I am joining in each select statement have indexes defined for those tables.
Now the UNION of the two select statements again in enclosed in an inline view , from which I fetching my final field values.
The select statements inside the inline view returns huge number of row (like 50 million rows).
The whole query fails with time out.
Is there a way to pass Oracle Hints so that Oracle uses indexes?
The below query is utilizing more than 17 Gb temp space. But still it is getting failed out due to insufficient temp space. is there any way to rewrite this query to reduce the temp utilization?
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
