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].....
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?
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]....
I need to check the package performance and need to improve the package performance.
1. how to check the package performance(each and every statement in the package)?
2. In the package using the delete statement to delete all records and observed that delete is taking long time to delete all the records in the table(Table records 7000000). This table is like staging table.Daily need to clean the data before inserting the data into it. what can I use instead of Delete.
I have two tables with 113M records in DWH_BILL_DET & 103M in prd_rerate_chg_que and Im running following merge query, which is running for 13 hrs to update records, which is quiet longer time.
SQL> explain plan for MERGE /*+ parallel (rq, 16) */
INTO DWH_BILL_DET rq
USING (SELECT rated_que_rowid,
detail_rerate_flag_code,
rerate_sel_key,
[code].....
I am running one simple delete statement in one table with rownum<10000 but it is taking nearly 10 to 15 mins.Table doesn't have any child table rows and triggers.
View 13 Replies View RelatedI am using one script to delete the records from a table, its taking 1hr to delete.
declare
cursor c1 is select ownerid,ownertype from nightly_metric_projects
;
v1 c1%rowtype;
open c1;
loop
fetch c1 into v1;
exit when c1%notfound;
DELETE FROM DGT_ITEMEFFORTDATA WHERE OWNERTYPE = c1.OWNERTYPE
AND OWNERID = c1.OWNERID;
end loop;
close c1;
commit;
nightly_metric_projects--1200 records
DGT_ITEMEFFORTDATA--13200000
I have the following problem. When I used in the IN-Statement fixed values e.q. 197321,197322,197323 ..., the index i_tab2_index works fine (index range scan).
But when I used in the IN-Statement an Sub-Select, the index i_tab2_index doesn't work (fast full scan)!My scale indices and used Selects:
CREATE INDEX i_tab1_index ON tab1 ( datum, flag_inst );
CREATE INDEX i_tab2_index ON tab2 ( tab2Idx, kontro );
SELECT count(epidx) as rowAnz
FROM tab2
WHERE tab2Idx IN ( SELECT tab1IDX FROM tab1
WHERE datum BETWEEN '20120117' AND '20120117'
AND flag_inst = '1' )
AND kontro = '9876521'
[code]...
We have a person running a query and following is the explain plan
explain plan for
select distinct(extractvalue(xmltype(a.email_variables), '/CalliopeData/Attributes/HOTEL_BRAND')) as ThisBrand
from hh.t_ecomm_mem_relations a
where extractvalue(xmltype(a.email_variables), '/CalliopeData/Attributes/HOTEL_BRAND') not in (select b.code_brand from hh.t_pr_brand b)
and a.code_corr_ecat = 'PREA'
and a.status = 'S'
and a.audit_time > sysdate - 1
;
PLAN_TABLE_OUTPUT
------------------------------------------------------------------------------------------------------------------------------------
Plan hash value: 1904775187
-------------------------------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | Pstart| Pstop |
-------------------------------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 14 | 32018 | 25 (4)| 00:00:01 | | |
| 1 | HASH UNIQUE | | 14 | 32018 | 25 (4)| 00:00:01 | | |
|* 2 | FILTER | | | | | | | |
| 3 | PARTITION RANGE ITERATOR | | 14 | 32018 | 17 (0)| 00:00:01 | KEY | 13 |
|* 4 | TABLE ACCESS BY LOCAL INDEX ROWID| T_ECOMM_MEM_RELATIONS | 14 | 32018 | 17 (0)| 00:00:01 | KEY | 13 |
|* 5 | INDEX RANGE SCAN | X_ECOMM_MEM_RELATIONS3 | 15 | | 3 (0)| 00:00:01 | KEY | 13 |
|* 6 | INDEX FULL SCAN | I_PR_BRAND | 1 | 3 | 1 (0)| 00:00:01 | | |
-------------------------------------------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
2 - filter( NOT EXISTS (SELECT /*+ */ 0 FROM "HH"."T_PR_BRAND" "B" WHERE
LNNVL("B"."CODE_BRAND"<>EXTRACTVALUE("XMLTYPE"."XMLTYPE"(:B1),'/CalliopeData/Attributes/HOTEL_BRAND'))))
4 - filter("A"."STATUS"='S')
5 - access("A"."AUDIT_TIME">SYSDATE@!-1 AND "A"."CODE_CORR_ECAT"='PREA')
filter("A"."CODE_CORR_ECAT"='PREA')
6 - filter(LNNVL("B"."CODE_BRAND"<>EXTRACTVALUE("XMLTYPE"."XMLTYPE"(:B1),'/CalliopeData/Attributes/HOTEL_BRAND')))
=========================
I tried not exists and some Antijoin hints in the subquery which is used in filter NOT IN. I tried minus too.
mbr has 60,000 rows and member has 60,000 rows approx. two tables have indexes on ssn, and citi_no on them.
PK of mbr : mbr_id
PK of member : mbr_id
other columns are not PK, and have no index on it.
I'm wondering why the statment doesn't use index while ssn and citi_no have index.
MERGE INTO mbr t
USING (SELECT mbr_id,citi_no
FROM member) a
ON (t.ssn = a.citi_no)
WHEN MATCHED THEN
UPDATE SET t.asis_mbr_id = a.mbr_id
where t.ssn not in(select ssn from mbr group by ssn having count(*) > 1)
Is there is any view/query from where I can find how many sql using literals.
View 4 Replies View RelatedI have queries on the execution plan of a sql statement
Following is the example
create table t1 as select s1.nextval id,a.* from dba_objects a;
create table t2 as select s2.nextval id,a.* from dba_objects a;
insert into t1 select s1.nextval id,a.* from dba_objects a;
insert into t1 select s1.nextval id,a.* from dba_objects a;
insert into t2 select s2.nextval id,a.* from dba_objects a;
insert into t2 select s2.nextval id,a.* from dba_objects a;
insert into t2 select s2.nextval id,a.* from dba_objects a;
commit;
create index i1 on t1(id);
create index i2 on t2(id);
create index i11 on t1(object_type);
exec dbms_stats.gather_table_stats(user,'T1',cascade=>true);
exec dbms_stats.gather_table_stats(user,'T2',cascade=>true);
select count(*) from t1 where object_type='VIEW';
COUNT(*)
----------
8934
set autotrace traceonly explain
Can we say in the following case, that,
(1) First index on object_type is accessed to get rowids - t1.object_type='VIEW'
(2) Then the filter on owner is applied - t1.owner='SYS'
(3) Then the table T1 is accessed to fetch data from the rowids returned by the index I11 and filer application - TABLE ACCESS BY INDEX ROWID
Though I am unable to understand how filter can be applied to the rowids retrieved from index, we can see from the plan below that The rows accessed have reduced from 8550 to 1221 before we access the table...Thus filter "t1.owner='SYS'" is applied in between. Right?
another question is
Case 1 - do we retrieve a rowid from index for a given value, then retrieve required values from table for that rowid
Thus row at a time in both ... in loop
OR
Case 2 - we first fetch all rowids from index and then retrieve values from table one row at a time from the collection of rowids fetched?
Suppose Case 1 is what is happening then can we say, both the steps mentioned by IDS 2,3 in plan below are executed exactly equal number of times and the filter "t1.owner='SYS'" is applied at some later stage? Of course in this case the values in ROWS stand misleading then
select * from t1,t2 where t1.id = t2.id and t1.object_type='VIEW' and t1.owner='SYS';
Execution Plan
----------------------------------------------------------
Plan hash value: 26873579
-------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
-------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1221 | 233K| 915 (1)| 00:00:11 |
|* 1 | HASH JOIN | | 1221 | 233K| 915 (1)| 00:00:11 |
|* 2 | TABLE ACCESS BY INDEX ROWID| T1 | 1221 | 116K| 381 (1)| 00:00:05 |
|* 3 | INDEX RANGE SCAN | I11 | 8550 | | 24 (0)| 00:00:01 |
| 4 | TABLE ACCESS FULL | T2 | 161K| 15M| 533 (1)| 00:00:07 |
-------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
1 - access("T1"."ID"="T2"."ID")
2 - filter("T1"."OWNER"='SYS')
3 - access("T1"."OBJECT_TYPE"='VIEW')
I'm working on a query that will show how many differents SKUs we have on-hand, how many of those SKUs have been cycle-counted, and how many we have yet to cycle-count.I've prepared a sample table and data:
CREATE TABLE SKU
(
ABC VARCHAR2(1 CHAR),
SKU VARCHAR2(32 CHAR) NOT NULL,
Lastcyclecount DATE,
[code]....
What I also want to do is select another column that will group by sku.abc and count the total number of A, B, and C SKUs where the lot.qty is > 0:
SELECT sk.abc AS "STRATA",
COUNT (DISTINCT sk.sku) AS "Total"
FROM sku sk,
(SELECT sku
FROM lot
WHERE qty > 0) item
WHERE item.sku = sk.sku(+)
GROUP BY sk.abc
Finally, I need the last column to display the DIFFERENCE between the two totals from the queries above (the difference between the "counted" and the "total"):
COUNT (DISTINCT sk.sku) - COUNT (DISTINCT s.sku)
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.
i am trying to analyze a query i have and noticed that it does not show the sql_id in v$session.
preparing a test case:
create table t1(a number, b varchar(10));
insert into t1 values(123 , 'value1');
when i execute
select count(*) from dual;
select * from dual;
select count(*) from t1;
i can see the sql_id by running
select
sql_id sql_id_,
sql_child_number sql_child_num,
module module_,
action action_,
logon_time lgtime,
[code]....
however, when i'm running
select * from t1
sql_id and sql_child_id in v$session appears to be null, and i can't analyze it.
why those columns are NULL?
this statement is taking 1hr , can we reduce the timing?
CREATE TABLE DGT_ITEMEFFORTDATA (ENTERPRISEID, OWNERTYPE, OWNERID, SUPEROWNERTYPE, SUPEROWNERID,
ITEMTYPE, ITEMID, STAGEID, USERID, DATEIDENTIFIED,
DATECLOSED, ACTIVITYCODEID, PHASEID, RELEASEID, MONTHID,
QUARTERID, INITIALEFFORT, BASELINEDEFFORT,
ACTUALEFFORT, ITEMSTATUS, ALLOCATIONSTATUS, STAGESTATUS,
OCCURANCETYPE, DSLPROJECTTYPE, METRICCALCRUNID,
[code].....
This is the explain plan of the above query
PLAN_TABLE_OUTPUT
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%C
--------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 11M| 4137M| 46149 (
| 1 | UNION-ALL | | | |
| 2 | TABLE ACCESS FULL| DGT_ITEMEFFORTDATA_DAILY | 3455K| 428M| 14575
[code].....
This is the index details
1DGT_ITEMEFFORTDATA_DAILYHCLT_IDX_DGT_IFDITEMID4
2DGT_ITEMEFFORTDATA_DAILYHCLT_IDX_DGT_IFDITEMTYPE3
3DGT_ITEMEFFORTDATA_DAILYHCLT_IDX_DGT_IFDOWNERID2
4DGT_ITEMEFFORTDATA_DAILYHCLT_IDX_DGT_IFDOWNERTYPE1
There is no index on DGT_ITEMEFFORTDATA_TEMP table
[code].....
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.
refer following sql statements and code
Session 1
create table tab1 as select * from dba_objects where object_id is not null;
alter session set events '10046 trace name context forever, level 12';
declare
x number;
begin
for i in 1..4
loop
[code]....
Session 2
after "starting" the above pl/sql block from Session 1, I keep on querying tab2 from Session 2 And as soon as 2 records are inserted in tab2, I create index from Session 2
select * from tab2;
select * from tab2;
select * from tab2;
N
----------
1
2
create index i on tab1(object_id);
As I have tested from a single session (just before this test) such index is used for the sql statement
select count(1) into x from tab1 where object_id=2331;
However when I checked the trace file I am not geeting results as expected
I am expecting 4 execution plans - 2 FTS and 2 Index Access scans and for this I am issuing following command
tkprof dst1_ora_7369.trc dst1_ora_7369.txt aggregate=no sys=no
But unfortunately I am getting following output
SELECT COUNT(1)
FROM
TAB1 WHERE OBJECT_ID=2331
call count cpu elapsed disk query current rows
------- ------ -------- ---------- ---------- ---------- ---------- ----------
Parse 1 0.00 0.00 0 1 0 0
Execute 4 0.00 0.00 0 2 0 0
[code]....
1) Why I am unable to see 4 execution plans - 2 with FTS and 2 with Index access when I mentioned 'aggregate=no'?
2) Whether the index i will be used for last 2 iterations after first 2 iterations of FTS?
If answer to above question 2) is 'No'
By which method I can force an ongoing sql statement in loop to take different execution path? Of course I can't hard parse sql in 'that' current session Will flushing Shared pool work in above case?
Can we have same execution plan for a create table statement where the name of the table changes every time as follows:
create table test
as
select * from t1
Here table name changes from test to another table name next time
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]....
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?
Is there any way to reduce the index creation time. I have one table which has 7700000 records and every day this table get truncate and we create with create table as select statement and then create the 4 indexes and each index took 5 minutes so in totality it took 20 minutes in index creation.
View 2 Replies View Relatedwhy different elapsed time in Oracle9i and oracle10g for the same query ?
View 2 Replies View RelatedElapsed Time (s) CPU Time (s) Executions Elap per Exec (s) % Total DB Time SQL Id SQL Module SQL Text
2,423 1 3,919 0.62 1.83 gt49gg0fnc5x8 srv_dr@ahs (TNS V1-V3) UPDATE /*+ CCL<OENDB_FILE...
2,227 14 1 2227.16 1.68 bggfx8a04prj9 SQL*Plus select * from (select n.source...
.........
On [SQL ordered by Elapsed Time], [SQL Module] shows an indication that a SQL was executed by which process (i.e. srv_dr@ahs)outside of SQL*PLUS.If [SQL Modeule] shows as [SQL*Plus], does it mean the query was run in SQL*PLUS manually or directly?I have the SQL ID. How do I find out who, how, and exactly what time it was run?
In my insert query, Window sort takes longer time i.e. 93% of total execution time, How do i reduce this time? are there any tuning parameters availabe for this?
View 5 Replies View Related