How to improve performance of this SQL query?

Hi,
I have a query that tries to build a string (RPATH) for use as a url parameter. The query is:
SELECT DISTINCT USERNAME, PASSWORD, ROLE, RIGHTS,
DECODE(GEO, ROLE, 'g='||NVL(GEO,'none'), NULL)||
     DECODE(AREA, ROLE, 'g='||NVL(GEO,'none')||'&a='||NVL(AREA,'none'), NULL)||
     DECODE(REGION, ROLE, 'g='||NVL(GEO,'none')||'&a='||NVL(AREA,'none')||'&r='||NVL(REGION,'none'), NULL)||
     DECODE(DISTRICT, ROLE, 'g='||NVL(GEO,'none')||'&a='||NVL(AREA,'none')||'&r='||NVL(REGION,'none')||'&d='||NVL(DISTRICT,'none'), NULL)||
     DECODE(OFFICE, ROLE, 'g='||NVL(GEO,'none')||'&a='||NVL(AREA,'none')||'&r='||NVL(REGION,'none')||'&d='||NVL(DISTRICT,'none')||'&o='||NVL(OFFICE,'none')
, NULL) RPATH
FROM (SELECT U.*, L.*
     FROM (SELECT * FROM T_USERS WHERE USERNAME='xxx' AND PASSWORD='yyy') U, T_LOC_SUB L
     WHERE U.ROLE IN ('WW', L.GEO, L.AREA, L.REGION, L.DISTRICT, L.OFFICE))
GROUP BY USERNAME, PASSWORD, ROLE, RIGHTS, GEO, AREA, REGION, DISTRICT, OFFICE;
T_USERS is defined as
CREATE TABLE T_USERS (
username          VARCHAR2(10)     CONSTRAINT T_USERS_username_pk PRIMARY KEY,
password          VARCHAR2(10),
role                    CONSTRAINT T_USERS_role_FK REFERENCES T_LOC_MAIN(loc),
rights          VARCHAR2(3)
T_LOC_SUB is defined as
CREATE TABLE T_LOC_SUB (
geo          CONSTRAINT T_LOC_SUB_geo_FK REFERENCES T_LOC_MAIN(loc),
area          CONSTRAINT T_LOC_SUB_area_FK REFERENCES T_LOC_MAIN(loc),
region          CONSTRAINT T_LOC_SUB_region_FK REFERENCES T_LOC_MAIN(loc),
district     CONSTRAINT T_LOC_SUB_district_FK REFERENCES T_LOC_MAIN(loc),
office          CONSTRAINT T_LOC_SUB_office_FK REFERENCES T_LOC_MAIN(loc)
T_LOC_MAIN is defined as
CREATE TABLE T_LOC_MAIN (
loc          VARCHAR2(4)     CONSTRAINT T_LOC_MAIN_loc_PK PRIMARY KEY,
label          VARCHAR2(60),
rank          NUMBER
REGION and DISTRICT columns in T_LOC_SUB may be NULL at times. How can I rewrite the SQL to make it run faster or more efficiently?
Please help.. Thank you..

Hi,
I just realised I can simplify the query to:
SELECT DISTINCT USERNAME, PASSWORD, ROLE, RIGHTS,
DECODE(ROLE,
     GEO, 'g='||NVL(GEO,'none'),
     AREA, 'g='||NVL(GEO,'none')||'&a='||NVL(AREA,'none'),
     REGION, 'g='||NVL(GEO,'none')||'&a='||NVL(AREA,'none')||'&r='||NVL(REGION,'none'),
     DISTRICT, 'g='||NVL(GEO,'none')||'&a='||NVL(AREA,'none')||'&r='||NVL(REGION,'none')||'&d='||NVL(DISTRICT,'none'),
     OFFICE, 'g='||NVL(GEO,'none')||'&a='||NVL(AREA,'none')||'&r='||NVL(REGION,'none')||'&d='||NVL(DISTRICT,'none')||'&o='||NVL(OFFICE,'none'),
     NULL) RPATH
FROM (SELECT U.*, L.*
FROM (SELECT * FROM T_USERS WHERE USERNAME='xxx' AND PASSWORD='yyy') U, T_LOC_SUB L
WHERE U.ROLE IN ('WW', L.GEO, L.AREA, L.REGION, L.DISTRICT, L.OFFICE))
GROUP BY USERNAME, PASSWORD, ROLE, RIGHTS, GEO, AREA, REGION, DISTRICT, OFFICE;
Anyone can offer a better and more efficient improvement?
Thanx!

Similar Messages

How to improve performance of the attached query

Hi,
How to improve performance of the below query, Please help. also attached explain plan -
SELECT Camp.Id,
rCam.AccountKey,
Camp.Id,
CamBilling.Cpm,
CamBilling.Cpc,
CamBilling.FlatRate,
Camp.CampaignKey,
Camp.AccountKey,
CamBilling.billoncontractedamount,
(SUM(rCam.Impressions) * 0.001 + SUM(rCam.Clickthrus)) AS GR,
rCam.AccountKey as AccountKey
FROM Campaign Camp, rCamSit rCam, CamBilling, Site xSite
WHERE Camp.AccountKey = rCam.AccountKey
AND Camp.AvCampaignKey = rCam.AvCampaignKey
AND Camp.AccountKey = CamBilling.AccountKey
AND Camp.CampaignKey = CamBilling.CampaignKey
AND rCam.AccountKey = xSite.AccountKey
AND rCam.AvSiteKey = xSite.AvSiteKey
AND rCam.RmWhen BETWEEN to_date('01-01-2009', 'DD-MM-YYYY') and
to_date('01-01-2011', 'DD-MM-YYYY')
GROUP By rCam.AccountKey,
Camp.Id,
CamBilling.Cpm,
CamBilling.Cpc,
CamBilling.FlatRate,
Camp.CampaignKey,
Camp.AccountKey,
CamBilling.billoncontractedamount
Explain Plan :-
Description Object_owner Object_name Cost Cardinality Bytes
SELECT STATEMENT, GOAL = ALL_ROWS 14 1 13
SORT AGGREGATE 1 13
VIEW GEMINI_REPORTING 14 1 13
HASH GROUP BY 14 1 103
NESTED LOOPS 13 1 103
HASH JOIN 12 1 85
TABLE ACCESS BY INDEX ROWID GEMINI_REPORTING RCAMSIT 2 4 100
NESTED LOOPS 9 5 325
HASH JOIN 7 1 40
SORT UNIQUE 2 1 18
TABLE ACCESS BY INDEX ROWID GEMINI_PRIMARY SITE 2 1 18
INDEX RANGE SCAN GEMINI_PRIMARY SITE_I0 1 1
TABLE ACCESS FULL GEMINI_PRIMARY SITE 3 27 594
INDEX RANGE SCAN GEMINI_REPORTING RCAMSIT_I 1 1 5
TABLE ACCESS FULL GEMINI_PRIMARY CAMPAIGN 3 127 2540
TABLE ACCESS BY INDEX ROWID GEMINI_PRIMARY CAMBILLING 1 1 18
INDEX UNIQUE SCAN GEMINI_PRIMARY CAMBILLING_U1 0 1

duplicate thread..
How to improve performance of attached query

What Indexes should be created for improve performance of the sql query

Hello Admins
One of my user is facing slow performance issue while running the below query. Can someone, please guide me for the same. I want to know, what indexes should be created to improve the performance of this query. Also what else can be done to achieve the same.
SQL Query:-
SELECT UPPER(LTRIM(RTRIM(CGSBI_SHIP_DIST_S_EXTRACT.PO_NUMBER))),
CGSBI_SHIP_DIST_S_EXTRACT.PO_LINE_NUMBER,
CGSBI_SHIP_DIST_S_EXTRACT.PO_SHIPMENT_NUMBER,
CGSBI_SHIP_DIST_S_EXTRACT.PO_LINE_SHIP_DIST_NUMBER,
CGSBI_SHIP_DIST_S_EXTRACT.DISTRIBUTION_DATE,
UPPER(LTRIM(RTRIM(CGSBI_SHIP_DIST_S_EXTRACT.PO_LINE_SHIP_DIST_LINE_ID))),
UPPER(LTRIM(RTRIM(CGSBI_SHIP_DIST_S_EXTRACT.PROJECT_ID))),
UPPER(LTRIM(RTRIM(CGSBI_SHIP_DIST_S_EXTRACT.ACCOUNT_DISTRIBUTION_CODE))),
UPPER(LTRIM(RTRIM(CGSBI_SHIP_DIST_S_EXTRACT.ORACLE_ACCOUNT_NUMBER))),
UPPER(LTRIM(RTRIM(CGSBI_SHIP_DIST_S_EXTRACT.COMPONENT_CODE))),
UPPER(LTRIM(RTRIM(CGSBI_SHIP_DIST_S_EXTRACT.TRANSACTION_CURRENCY_CODE))),
CGSBI_SHIP_DIST_S_EXTRACT.ORDER_QUANTITY, UPPER(LTRIM(RTRIM(CGSBI_SHIP_DIST_S_EXTRACT.ORDER_UOM))),
CGSBI_SHIP_DIST_S_EXTRACT.UNIT_PRICE_TRX_CURRENCY,
UPPER(LTRIM(RTRIM(CGSBI_SHIP_DIST_S_EXTRACT.EXPENSE_TYPE_INDICATOR))),
CGSBI_SHIP_DIST_S_EXTRACT.SOR_ID,
UPPER(LTRIM(RTRIM(CGSBI_SHIP_DIST_S_EXTRACT.PO_LINE_ITEM_CODE))),
UPPER(LTRIM(RTRIM(CGSBI_SHIP_DIST_S_EXTRACT.PO_LINE_ITEM_DESC))),
CGSBI_SHIP_DIST_S_EXTRACT.PO_LINE_ITEM_LEAD_TIME,
UPPER(LTRIM(RTRIM(CGSBI_SHIP_DIST_S_EXTRACT.UNSPSC_CODE))),
UPPER(LTRIM(RTRIM(CGSBI_SHIP_DIST_S_EXTRACT.BUYER_ID))),
UPPER(LTRIM(RTRIM(CGSBI_SHIP_DIST_S_EXTRACT.REQUESTOR_ID))),
UPPER(LTRIM(RTRIM(CGSBI_SHIP_DIST_S_EXTRACT.APPROVER_ID))),
UPPER(LTRIM(RTRIM(CGSBI_SHIP_DIST_S_EXTRACT.SUPPLIER_SITE_ID))),
UPPER(LTRIM(RTRIM(CGSBI_SHIP_DIST_S_EXTRACT.SUPPLIER_GSL_NUMBER))),
UPPER(LTRIM(RTRIM(CGSBI_SHIP_DIST_S_EXTRACT.SHIP_TO_LOCATION_CODE))),
UPPER(LTRIM(RTRIM(CGSBI_SHIP_DIST_S_EXTRACT.TASK_ID))),
(LTRIM(RTRIM(CGSBI_SHIP_DIST_S_EXTRACT.PO_RELEASE_ID)))
FROM
CGSBI_SHIP_DIST_S_EXTRACT
WHERE PO_NUMBER IS NOT NULL;
I generated the explain plan for this query and found the following:-
Explain Plan:-
SQL> explain plan for SELECT UPPER(LTRIM(RTRIM(CGSBI_SHIP_DIST_S_EXTRACT.PO_NUMBER))),
2 CGSBI_SHIP_DIST_S_EXTRACT.PO_LINE_NUMBER,
3 CGSBI_SHIP_DIST_S_EXTRACT.PO_SHIPMENT_NUMBER,
4 CGSBI_SHIP_DIST_S_EXTRACT.PO_LINE_SHIP_DIST_NUMBER,
5 CGSBI_SHIP_DIST_S_EXTRACT.DISTRIBUTION_DATE,
6 UPPER(LTRIM(RTRIM(CGSBI_SHIP_DIST_S_EXTRACT.PO_LINE_SHIP_DIST_LINE_ID))),
7 UPPER(LTRIM(RTRIM(CGSBI_SHIP_DIST_S_EXTRACT.PROJECT_ID))),
8 UPPER(LTRIM(RTRIM(CGSBI_SHIP_DIST_S_EXTRACT.ACCOUNT_DISTRIBUTION_CODE))),
9 UPPER(LTRIM(RTRIM(CGSBI_SHIP_DIST_S_EXTRACT.ORACLE_ACCOUNT_NUMBER))),
10 UPPER(LTRIM(RTRIM(CGSBI_SHIP_DIST_S_EXTRACT.COMPONENT_CODE))),
11 UPPER(LTRIM(RTRIM(CGSBI_SHIP_DIST_S_EXTRACT.TRANSACTION_CURRENCY_CODE))),
12 CGSBI_SHIP_DIST_S_EXTRACT.ORDER_QUANTITY, UPPER(LTRIM(RTRIM(CGSBI_SHIP_DIST_S_EXTRACT.ORDER_UOM))),
13 CGSBI_SHIP_DIST_S_EXTRACT.UNIT_PRICE_TRX_CURRENCY,
14 UPPER(LTRIM(RTRIM(CGSBI_SHIP_DIST_S_EXTRACT.EXPENSE_TYPE_INDICATOR))),
15 CGSBI_SHIP_DIST_S_EXTRACT.SOR_ID,
16 UPPER(LTRIM(RTRIM(CGSBI_SHIP_DIST_S_EXTRACT.PO_LINE_ITEM_CODE))),
17 UPPER(LTRIM(RTRIM(CGSBI_SHIP_DIST_S_EXTRACT.PO_LINE_ITEM_DESC))),
18 CGSBI_SHIP_DIST_S_EXTRACT.PO_LINE_ITEM_LEAD_TIME,
19 UPPER(LTRIM(RTRIM(CGSBI_SHIP_DIST_S_EXTRACT.UNSPSC_CODE))),
20 UPPER(LTRIM(RTRIM(CGSBI_SHIP_DIST_S_EXTRACT.BUYER_ID))),
21 UPPER(LTRIM(RTRIM(CGSBI_SHIP_DIST_S_EXTRACT.REQUESTOR_ID))),
22 UPPER(LTRIM(RTRIM(CGSBI_SHIP_DIST_S_EXTRACT.APPROVER_ID))),
23 UPPER(LTRIM(RTRIM(CGSBI_SHIP_DIST_S_EXTRACT.SUPPLIER_SITE_ID))),
24 UPPER(LTRIM(RTRIM(CGSBI_SHIP_DIST_S_EXTRACT.SUPPLIER_GSL_NUMBER))),
25 UPPER(LTRIM(RTRIM(CGSBI_SHIP_DIST_S_EXTRACT.SHIP_TO_LOCATION_CODE))),
26 UPPER(LTRIM(RTRIM(CGSBI_SHIP_DIST_S_EXTRACT.TASK_ID))),
27 (LTRIM(RTRIM(CGSBI_SHIP_DIST_S_EXTRACT.PO_RELEASE_ID)))
28 FROM
29 CGSBI_SHIP_DIST_S_EXTRACT
30 WHERE PO_NUMBER IS NOT NULL;
Explained.
SQL>
SQL>
SQL> SELECT * FROM TABLE(dbms_xplan.display);
PLAN_TABLE_OUTPUT
Plan hash value: 3891180274
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 77647 | 39M| 2006 (1)| 00:00:25 |
|* 1 | TABLE ACCESS FULL| CGSBI_SHIP_DIST_S_EXTRACT | 77647 | 39M| 2006 (1)| 00:00:25 |
Predicate Information (identified by operation id):
1 - filter("PO_NUMBER" IS NOT NULL)
13 rows selected.
SQL>
SQL>
Kindly suggest on this...
Thanks & Regards
-Naveen Gangil
Oracle DBA

Rafi is correct. Since po_number is the filter column, the only chance you have for using an index to access the table is on that column. However, if there are few (or none) rows with null po_number, you will always have FTS. Does the table have a PK ( which probably consists of at least po_number, line_number )? If that is the case po_number could never be null and in which case you are dumping the whole table and no indexing scheme is going to improve the queri's performance. You might, repeat might, see performance improvement if you cleanse the data in the table ( to eliminate the need for UPPER(LTRIM)RTRIM())) ) before querying it so the the data does not have to be massaged before returning it.

How to Improve Performance of this query??

Hi experts,
Kindly suggest me some perfomance optimization on the below code.
SELECT * FROM vtrdi AS v
               INTO TABLE six
               FOR ALL ENTRIES IN r_vbeln
               WHERE vbeln EQ r_vbeln-low
               AND   trsta IN s_trsta
               AND   vstel IN s_vstel
               AND   tddat IN s_tddat
               AND   vbtyp IN r_vbtyp
               AND   lstel IN s_lstel
               AND   route IN s_route
               AND   tragr IN s_tragr
               AND   vsbed IN s_vsbed
               AND   land1 IN s_land1
               AND   lzone IN s_lzone
               AND   wadat IN s_wadat
               AND   wbstk IN s_wbstk
               AND   lddat IN s_lddat
               AND   lfdat IN s_lfdat
               AND   kodat IN s_kodat
               AND   kunnr IN s_kunnr
               AND   spdnr IN s_spdnr
               AND   inco1 IN s_inco1
               AND   inco2 IN s_inco2
               AND   lprio IN s_lprio
               AND EXISTS ( SELECT * FROM likp
                              WHERE vbeln EQ v~vbeln
                              AND lifnr IN s_lifnr
                              AND lgtor IN s_lgtor
                              AND lgnum IN s_lgnum
                              AND lfuhr IN s_lfuhr
                              AND aulwe IN s_aulwe
                              AND traty IN s_traty
                              AND traid IN s_traid
                              AND vsart IN s_vsart
                              AND trmtyp IN s_trmtyp
                              AND sdabw IN s_sdabw
                              AND cont_dg IN r_cont_dg ).
Thanks in Advance...
Santosh.

Try to write 2 select
SELECT * FROM vtrdi AS v
INTO TABLE six
FOR ALL ENTRIES IN r_vbeln
WHERE vbeln EQ r_vbeln-low
AND trsta IN s_trsta
AND vstel IN s_vstel
AND tddat IN s_tddat
AND vbtyp IN r_vbtyp
AND lstel IN s_lstel
AND route IN s_route
AND tragr IN s_tragr
AND vsbed IN s_vsbed
AND land1 IN s_land1
AND lzone IN s_lzone
AND wadat IN s_wadat
AND wbstk IN s_wbstk
AND lddat IN s_lddat
AND lfdat IN s_lfdat
AND kodat IN s_kodat
AND kunnr IN s_kunnr
AND spdnr IN s_spdnr
AND inco1 IN s_inco1
AND inco2 IN s_inco2
AND lprio IN s_lprio.
SELECT * FROM likp into table itab
WHERE vbeln EQ v~vbeln
AND lifnr IN s_lifnr
AND lgtor IN s_lgtor
AND lgnum IN s_lgnum
AND lfuhr IN s_lfuhr
AND aulwe IN s_aulwe
AND traty IN s_traty
AND traid IN s_traid
AND vsart IN s_vsart
AND trmtyp IN s_trmtyp
AND sdabw IN s_sdabw
AND cont_dg IN r_cont_dg
loop at six
check whether entry is exists or not
if not remove from six interbal table.
endloop.
Thanks
Venkat

How to improve performance for this code

Hi,
LOOP AT lt_element INTO ls_element.
READ TABLE lt_element_ident INTO ls_element_ident
WITH KEY element_id = ls_element-element_id BINARY SEARCH.
IF sy-subrc EQ 0.
MOVE ls_element_ident-value TO lv_guid.
SELECT * FROM zcm_valuation_at
APPENDING CORRESPONDING FIELDS OF TABLE lt_caseattributes
WHERE case_guid = lv_guid.
ENDIF.
ENDLOOP.
LOOP AT lt_caseattributes INTO ls_caseattributes.
IF ls_caseattributes-ext_key IS INITIAL.
SELECT SINGLE ext_key
INTO CORRESPONDING FIELDS OF ls_caseattributes
FROM scmg_t_case_attr
WHERE case_guid = ls_caseattributes-case_guid.
ENDIF.
*To get the Status description of the Case
SELECT SINGLE stat_ordno_descr
INTO ls_caseattributes-status
FROM scmgstatprofst AS a
INNER JOIN scmg_t_case_attr AS b
ON aprofile_id = bprofile_id
AND astat_orderno = bstat_orderno
WHERE case_guid = ls_caseattributes-case_guid.
MODIFY lt_caseattributes FROM ls_caseattributes INDEX sy-tabix TRANSPORTING status ext_key.
ENDLOOP.
READ TABLE lt_caseattributes INTO ls_caseattributes INDEX 1.
Regards,
Maruti

Hi,
try this kind of code:
==================================
start new
DATA:
lt_scmgstatprofst LIKE scmgstatprofst OCCURS 0 WITH HEADER LINE,
wa_scmg_t_case_attr LIKE scmg_t_case_attr.
SELECT * FROM scmgstatprofst INTO TABLE lt_scmgstatprofst.
SORT lt_scmgstatprofst BY profile_id stat_orderno.
end new
LOOP AT lt_element INTO ls_element.
READ TABLE lt_element_ident INTO ls_element_ident
WITH KEY element_id = ls_element-element_id BINARY SEARCH.
IF sy-subrc EQ 0.
    MOVE ls_element_ident-value TO lv_guid.
    SELECT * FROM zcm_valuation_at
    APPENDING CORRESPONDING FIELDS OF TABLE lt_caseattributes
    WHERE case_guid = lv_guid.
ENDIF.
ENDLOOP.
LOOP AT lt_caseattributes INTO ls_caseattributes.
IF ls_caseattributes-ext_key IS INITIAL.
    SELECT SINGLE ext_key
    INTO CORRESPONDING FIELDS OF ls_caseattributes
    FROM scmg_t_case_attr
    WHERE case_guid = ls_caseattributes-case_guid.
ENDIF.
*To get the Status description of the Case
start deletion
SELECT SINGLE stat_ordno_descr
INTO ls_caseattributes-status
FROM scmgstatprofst AS a
INNER JOIN scmg_t_case_attr AS b
ON aprofile_id = bprofile_id
AND astat_orderno = bstat_orderno
WHERE case_guid = ls_caseattributes-case_guid.
end deletion
start new
CLEAR wa_scmg_t_case_attr.
SELECT SINGLE * FROM scmg_t_case_attr INTO wa_scmg_t_case_attr
    WHERE case_guid = ls_caseattributes-case_guid.
READ TABLE lt_scmgstatprofst WITH KEY
    profile_id   = wa_scmg_t_case_attr-profile_id
    stat_orderno = wa_scmg_t_case_attr-stat_orderno
    BINARY SEARCH.
IF sy-subrc IS INITIAL.
    ls_caseattributes-status = lt_scmgstatprofst-stat_ordno_descr.
ENDIF.
end new
MODIFY lt_caseattributes FROM ls_caseattributes INDEX sy-tabix
TRANSPORTING status ext_key.
ENDLOOP.
READ TABLE lt_caseattributes INTO ls_caseattributes INDEX 1.
==================================
Regards
Walter Habich
Edited by: Walter Habich on Jun 17, 2008 8:41 AM

Need help in improving the performance for the sql query

Thanks in advance for helping me.
I was trying to improve the performance of the below query. I tried the following methods used merge instead of update, used bulk collect / Forall update, used ordered hint, created a temp table and upadated the target table using the same. The methods which I used did not improve any performance. The data count which is updated in the target table is 2 million records and the target table has 15 million records.
Any suggestions or solutions for improving performance are appreciated
SQL query:
update targettable tt
set mnop = 'G',
where ( x,y,z ) in
select a.x, a.y,a.z
from table1 a
where (a.x, a.y,a.z) not in (
select b.x,b.y,b.z
from table2 b
where 'O' = b.defg
and mnop = 'P'
and hijkl = 'UVW';

987981 wrote:
I was trying to improve the performance of the below query. I tried the following methods used merge instead of update, used bulk collect / Forall update, used ordered hint, created a temp table and upadated the target table using the same. The methods which I used did not improve any performance. And that meant what? Surely if you spend all that time and effort to try various approaches, it should mean something? Failures are as important teachers as successes. You need to learn from failures too. :-)
The data count which is updated in the target table is 2 million records and the target table has 15 million records.Tables have rows btw, not records. Database people tend to get upset when rows are called records, as records exist in files and a database is not a mere collection of records and files.
The failure to find a single faster method with the approaches you tried, points to that you do not know what the actual performance problem is. And without knowing the problem, you still went ahead, guns blazing.
The very first step in dealing with any software engineering problem, is to identify the problem. Seeing the symptoms (slow performance) is still a long way from problem identification.
Part of identifying the performance problem, is understanding the workload. Just what does the code task the database to do?
From your comments, it needs to find 2 million rows from 15 million rows. Change these rows. And then write 2 million rows back to disk.
That is not a small workload. Simple example. Let's say that the 2 million row find is 1ms/row and the 2 million row write is also 1ms/row. This means a 66 minute workload. Due to the number of rows, an increase in time/row either way, will potentially have 2 million fold impact.
So where is the performance problem? Time spend finding the 2 million rows (where other tables need to be read, indexes used, etc)? Time spend writing the 2 million rows (where triggers and indexes need to be fired and maintained)? Both?

How to improve performance of attached query

Hi,
How to improve performance of the below query, Please help. also attached explain plan -
SELECT Camp.Id,
rCam.AccountKey,
Camp.Id,
CamBilling.Cpm,
CamBilling.Cpc,
CamBilling.FlatRate,
Camp.CampaignKey,
Camp.AccountKey,
CamBilling.billoncontractedamount,
(SUM(rCam.Impressions) * 0.001 + SUM(rCam.Clickthrus)) AS GR,
rCam.AccountKey as AccountKey
FROM Campaign Camp, rCamSit rCam, CamBilling, Site xSite
WHERE Camp.AccountKey = rCam.AccountKey
AND Camp.AvCampaignKey = rCam.AvCampaignKey
AND Camp.AccountKey = CamBilling.AccountKey
AND Camp.CampaignKey = CamBilling.CampaignKey
AND rCam.AccountKey = xSite.AccountKey
AND rCam.AvSiteKey = xSite.AvSiteKey
AND rCam.RmWhen BETWEEN to_date('01-01-2009', 'DD-MM-YYYY') and
to_date('01-01-2011', 'DD-MM-YYYY')
GROUP By rCam.AccountKey,
Camp.Id,
CamBilling.Cpm,
CamBilling.Cpc,
CamBilling.FlatRate,
Camp.CampaignKey,
Camp.AccountKey,
CamBilling.billoncontractedamount
Explain Plan :-
Description Object_owner Object_name Cost Cardinality Bytes
SELECT STATEMENT, GOAL = ALL_ROWS 14 1 13
SORT AGGREGATE 1 13
VIEW GEMINI_REPORTING 14 1 13
HASH GROUP BY 14 1 103
NESTED LOOPS 13 1 103
HASH JOIN 12 1 85
TABLE ACCESS BY INDEX ROWID GEMINI_REPORTING RCAMSIT 2 4 100
NESTED LOOPS 9 5 325
HASH JOIN 7 1 40
SORT UNIQUE 2 1 18
TABLE ACCESS BY INDEX ROWID GEMINI_PRIMARY SITE 2 1 18
INDEX RANGE SCAN GEMINI_PRIMARY SITE_I0 1 1
TABLE ACCESS FULL GEMINI_PRIMARY SITE 3 27 594
INDEX RANGE SCAN GEMINI_REPORTING RCAMSIT_I 1 1 5
TABLE ACCESS FULL GEMINI_PRIMARY CAMPAIGN 3 127 2540
TABLE ACCESS BY INDEX ROWID GEMINI_PRIMARY CAMBILLING 1 1 18
INDEX UNIQUE SCAN GEMINI_PRIMARY CAMBILLING_U1 0 1

duplicate thread..
How to improve performance of attached query

How to execute this SQL Query in ABAP Program.

Hi,
I have a string which is the SQL Query.
How to execute this sql Query (SQL_STR) in ABAP Program.
Code:-
DATA: SQL_STR type string.
SQL_STR = 'select * from spfli.'.
Thanks in Advance,
Vinay

Hi Vinay
Here is a sample to dynamically generate a subroutine-pool having your SQL and calling it.
REPORT dynamic_sql_example .
DATA: BEGIN OF gt_itab OCCURS 1 ,
line(80) TYPE c ,
END OF gt_itab .
DATA gt_restab TYPE .... .
DATA gv_name(30) TYPE c .
DATA gv_err(120) TYPE c .
START-OF-SELECTION .
gt_itab-line = 'REPORT generated_sql .' .
APPEND gt_itab .
gt_itab-line = 'FORM exec_sql CHANGING et_table . ' .
APPEND gt_itab .
gt_itab-line = SQL_STR .
APPEND gt_itab .
gt_itab-line = 'ENDFORM.' .
APPEND gt_itab .
GENERATE SUBROUTINE POOL gt_itab NAME gv_name MESSAGE gv_err .
PERFORM exec_sql IN PROGRAM (gv_name) CHANGING gt_restab
IF FOUND .
WRITE:/ gv_err .
LOOP AT gt_result .
WRITE:/ .... .
ENDLOOP .
*--Serdar

How to improve performance of query

Hi all,
How to improve performance of query.
please send :
[email protected]
thanks in advance
bhaskar

hi
go through the following links for performance
https://www.sdn.sap.com/irj/servlet/prt/portal/prtroot/docs/library/uuid/cccad390-0201-0010-5093-fd9ec8157802
http://www.asug.com/client_files/Calendar/Upload/ASUG%205-mar-2004%20BW%20Performance%20PDF.pdf
https://www.sdn.sap.com/irj/servlet/prt/portal/prtroot/docs/library/uuid/1955ba90-0201-0010-d3aa-8b2a4ef6bbb2

Performance Problem with SQL Query

Hi
I have a SQL Query (say, SSS) which runs quite fast when I run it from TOAD.
But when the same query is being used as
INSERT INTO <table> VALUES <SSS>;
It is taking hours to complete.
The Original Query(OSQ) was changed to this SQL query(SSS) for Performance improvement.
The Cost has also improved quite a lot from OSQ to SSS. But when SSS runs from inside a procedure it is taking the same long hours as OSQ used to take.
Please help ASAP as it needs to get fixed.
Thanks
Arnab

SELECT SRM.ID PROJECT_ID,
SRM.UNIQUE_NAME PROJECT_CODE,
ODFP.GS_FINANCE_PROJ_CODE,
ODFP.GS_PRODUCT_CODE,
ODFP.GS_CUSTOMER,
ODFP.GS_LEGAL_ENT_REF,
ODF_PRJ_TYPE.NAME GS_PROJ_TYPE,
ODF_SRC_SYS.NAME GS_SOURCE_SYSTEM,
RESM.FIRST_NAME||' '||RESM.LAST_NAME GS_PROJECT_MANAGER,
ODFP.GS_LEG_PROJ_NUM,
ODFP.GS_SUPP_DOC ,
ODFP.GS_REQUEST_ID ,
ODFP.GS_CONTRACT ,
ODFP.GS_SIEBEL_REF,
DECODE(budg.ODF_PARENT_ID,NULL,PRJP.bdgt_cst_total, budg.lab_budg)LAB_BDGT,
DECODE(budg.ODF_PARENT_ID,NULL,0,budg.nli_budg)NLI_BDGT,
(DECODE(budg.ODF_PARENT_ID,NULL,PRJP.bdgt_cst_total, budg.lab_budg))+(DECODE(budg.ODF_PARENT_ID,NULL,0,budg.nli_budg)) sum_lab_nonlab_budg,
frct.LABOUR,
frct.NON_LABOUR,
frct.LABOUR+frct.NON_LABOUR FORCAST_TOT_SUM,
gfr.code GFR_CODE,
odfp.gs_rev_recognition,
rev_rec.NAME gs_rev_recognition,
DECODE(odfp.gs_prevent_reqtxn,1,'YES','0','NO','NO'),
GS_PROGTYPE.NAME,
COMM_APPR.UNIQUE_NAME COMM_APPROVER_EIN,
COMM_APPR.FIRST_NAME||' '||COMM_APPR.LAST_NAME COMM_APPROVER_NAME,
PR_APPR.UNIQUE_NAME PR_APPROVER_EIN,
PR_APPR.FIRST_NAME||' '||PR_APPR.LAST_NAME PR_APPROVER_NAME,
ODFP.GS_BILL_BUD,
frct.FRCST_REVENUE TOTAL_FRC_REVENUE,
actuals.LABOUR_ACTUALS,
actuals.NL_ACTUALS,
-- get_wip_totalcost(prjp.prid,'L') LABOUR_ACTUALS,
-- get_wip_totalcost(prjp.prid,'M') NL_ACTUALS,
ODFP.GS_ASS_PRODUCT_CODE,
PROJ_TEMPLATE.ID GS_PROJ_TEMPLATE_ID,
PROJ_TEMPLATE.UNIQUE_NAME GS_PROJ_TEMPLATE_CODE,
PROJ_TEMPLATE.name GS_PROJ_TEMPLATE_NAME,
DECODE( NVL(ODFP.GS_FIN_TEMPLATE,0) ,0,'NO',1,'YES') GS_FIN_TEMPLATE,
ODF_PRJ_TYPE.LOOKUP_CODE GS_PROJ_TYPE
FROM PROJECTS SRM,
J_PROJECTS PRJP,
A_PROJECT ODFP,
RESOURCES RESM,
s_gfr gfr,
RESOURCES PROJ_ACCT,
RESOURCES COMM_APPR,
RESOURCES PR_APPR,
(SELECT CAP.NAME
,LOOKUP.LOOKUP_CODE
FROM S_NLS CAP,
N_LOOKUPS LOOKUP
WHERE LOOKUP_TYPE ='GS_PROJECT_TYPE'
AND LOOKUP.ID =CAP.PK_ID
AND CAP.LANGUAGE_CODE='en'
AND CAP.TABLE_NAME = 'CMN_LOOKUPS') ODF_PRJ_TYPE,
(SELECT CAP.NAME
,LOOKUP.LOOKUP_CODE
FROM S_NLS CAP,
N_LOOKUPS LOOKUP
WHERE LOOKUP_TYPE ='GS_SOURCE_SYSTEM'
AND LOOKUP.ID =CAP.PK_ID
AND CAP.LANGUAGE_CODE='en'
AND CAP.TABLE_NAME = 'CMN_LOOKUPS') ODF_SRC_SYS,
(SELECT CAP.NAME
,LOOKUP.LOOKUP_CODE
FROM S_NLS CAP,
N_LOOKUPS LOOKUP
WHERE LOOKUP_TYPE ='GS_PROG_TYPE'
AND LOOKUP.ID =CAP.PK_ID
AND CAP.LANGUAGE_CODE='en'
AND CAP.TABLE_NAME = 'CMN_LOOKUPS')GS_PROGTYPE,
(SELECT odf_parent_id
,SUM(gs_lab_budg) lab_budg
,SUM(gs_nl_budg) nli_budg
FROM T_CHANGES
WHERE gs_status='APPR'
GROUP BY odf_parent_id) budg,
(SELECT CAP.NAME
,LOOKUP.LOOKUP_CODE
FROM S_NLS CAP,
N_LOOKUPS LOOKUP
WHERE LOOKUP_TYPE ='GS_REV_RECOGNITION'
AND LOOKUP.ID = CAP.PK_ID
AND CAP.LANGUAGE_CODE='en'
AND CAP.TABLE_NAME = 'CMN_LOOKUPS') rev_rec,
(SELECT FRCP1.project_id,
NVL(SUM(CASE WHEN srmr.resource_type=0 THEN for_val.cost ELSE NULL END),0) AS LABOUR,
NVL(SUM(CASE WHEN srmr.resource_type <> 0 THEN for_val.cost ELSE NULL END),0) AS NON_LABOUR,
NVL(SUM(for_val.revenue),0) AS FRCST_REVENUE
FROM T_PROPERTIES FRCP1,
T_DETAILS FOR_DET,
RESOURCES SRMR,
T_VALUES FOR_VAL
WHERE (FRCP1.project_id, revision) IN (SELECT project_id, MAX(revision)
FROM T_PROPERTIES FRCP
WHERE FRCP.status=2
AND FRCP.PERIOD_TYPE='SEMI_MONTHLY'
GROUP BY project_id)
AND FRCP1.PERIOD_TYPE='SEMI_MONTHLY'
AND FOR_DET.forecast_id=frcp1.id
AND SRMR.id(+)=FOR_DET.detail_id
AND FOR_VAL.currency_type='BILLING'
AND FOR_VAL.forecast_details_id=FOR_DET.ID
GROUP BY FRCP1.project_id) frct,
(SELECT srmp.id
,NVL(SUM(CASE WHEN wip.transtype='L' THEN WIPVAL.TOTALCOST ELSE NULL END),0) AS LABOUR_ACTUALS
,NVL(SUM(CASE WHEN wip.transtype='M' THEN WIPVAL.TOTALCOST ELSE NULL END),0) AS NL_ACTUALS
FROM A_WIP WIP
,om_periods biz
,P_VALUES WIPVAL
,PROJECTS SRMP
,A_PROJECT ODF
WHERE biz.period_type ='SEMI_MONTHLY'
AND TRUNC(wip.TRANSDATE) BETWEEN biz.start_date AND biz.end_date
AND WIP.TRANSNO=WIPVAL.TRANSNO
AND WIPVAL.CURRENCY_TYPE='BILLING'
AND SRMP.UNIQUE_NAME=WIP.PROJECT_CODE
AND SRMP.ID=ODF.ID
AND UPPER(ODF.partition_code)='GLOBAL'
AND UPPER(WIP.external_id) <> 'SPREADSHEET'
GROUP BY srmp.id) actuals,
RESOURCES BUD_HOLDER,
PROJECTS PROJ_TEMPLATE
WHERE SRM.ID = PRJP.PRID
AND ODFP.ID=PRJP.PRID
AND ODFP.PARTITION_CODE='GLOBAL'
AND RESM.id(+)=prjp.manager_id
AND ODFP.GS_PROJECT_TYPE = ODF_PRJ_TYPE.LOOKUP_CODE(+)
AND ODFP.GS_SOURCE_SYSTEM = ODF_SRC_SYS.LOOKUP_CODE(+)
AND ODFP.GS_prog_type = GS_PROGTYPE.LOOKUP_CODE(+)
AND budg.odf_parent_id(+)=SRM.ID
AND frct.project_id(+) = prjp.prid
AND ODFP.gs_risk_gfr=gfr.code(+)
AND ODFP.GS_REV_RECOGNITION=rev_rec.LOOKUP_CODE(+)
AND ODFP.GS_PROJ_ACCT = PROJ_ACCT.ID(+)
AND ODFP.GS_COMM_APPR = COMM_APPR.ID(+)
AND ODFP.GS_PR_APPR = PR_APPR.ID(+)
AND actuals.id(+) = prjp.prid -- Arnab
AND ODFP.GS_BUDGET_HOLDER=BUD_HOLDER.ID(+)
AND ODFP.GS_TEMPLATE_USED=PROJ_TEMPLATE.ID(+)
The above is OSQ with cost 45000. ... takes 1-1.5 hours through Toad
SELECT SRM.ID PROJECT_ID,
SRM.UNIQUE_NAME PROJECT_CODE,
ODFP.GS_FINANCE_PROJ_CODE,
ODFP.GS_PRODUCT_CODE,
ODFP.GS_CUSTOMER,
ODFP.GS_LEGAL_ENT_REF,
ODF_PRJ_TYPE.NAME GS_PROJ_TYPE,
ODF_SRC_SYS.NAME GS_SOURCE_SYSTEM,
RESM.FIRST_NAME||' '||RESM.LAST_NAME GS_PROJECT_MANAGER,
ODFP.GS_LEG_PROJ_NUM,
ODFP.GS_SUPP_DOC ,
ODFP.GS_REQUEST_ID ,
ODFP.GS_CONTRACT ,
ODFP.GS_SIEBEL_REF,
DECODE(budg.ODF_PARENT_ID,NULL,PRJP.bdgt_cst_total, budg.lab_budg)LAB_BDGT,
DECODE(budg.ODF_PARENT_ID,NULL,0,budg.nli_budg)NLI_BDGT,
(DECODE(budg.ODF_PARENT_ID,NULL,PRJP.bdgt_cst_total, budg.lab_budg))+(DECODE(budg.ODF_PARENT_ID,NULL,0,budg.nli_budg)) sum_lab_nonlab_budg,
frct.LABOUR,
frct.NON_LABOUR,
frct.LABOUR+frct.NON_LABOUR FORCAST_TOT_SUM,
gfr.code GFR_CODE,
odfp.gs_rev_recognition,
rev_rec.NAME gs_rev_recognition,
DECODE(odfp.gs_prevent_reqtxn,1,'YES','0','NO','NO'),
GS_PROGTYPE.NAME,
COMM_APPR.UNIQUE_NAME COMM_APPROVER_EIN,
COMM_APPR.FIRST_NAME||' '||COMM_APPR.LAST_NAME COMM_APPROVER_NAME,
PR_APPR.UNIQUE_NAME PR_APPROVER_EIN,
PR_APPR.FIRST_NAME||' '||PR_APPR.LAST_NAME PR_APPROVER_NAME,
ODFP.GS_BILL_BUD,
frct.FRCST_REVENUE TOTAL_FRC_REVENUE,
-- actuals.LABOUR_ACTUALS, -- Arnab
-- actuals.NL_ACTUALS, -- Arnab
get_wip_totalcost(prjp.prid,'L') LABOUR_ACTUALS, -- Arnab
get_wip_totalcost(prjp.prid,'M') NL_ACTUALS, -- Arnab
ODFP.GS_ASS_PRODUCT_CODE,
PROJ_TEMPLATE.ID GS_PROJ_TEMPLATE_ID,
PROJ_TEMPLATE.UNIQUE_NAME GS_PROJ_TEMPLATE_CODE,
PROJ_TEMPLATE.name GS_PROJ_TEMPLATE_NAME,
DECODE( NVL(ODFP.GS_FIN_TEMPLATE,0) ,0,'NO',1,'YES') GS_FIN_TEMPLATE,
ODF_PRJ_TYPE.LOOKUP_CODE GS_PROJ_TYPE
FROM PROJECTS SRM,
J_PROJECTS PRJP,
A_PROJECT ODFP,
RESOURCES RESM,
s_gfr gfr,
RESOURCES PROJ_ACCT,
RESOURCES COMM_APPR,
RESOURCES PR_APPR,
(SELECT CAP.NAME
,LOOKUP.LOOKUP_CODE
FROM S_NLS CAP,
N_LOOKUPS LOOKUP
WHERE LOOKUP_TYPE ='GS_PROJECT_TYPE'
AND LOOKUP.ID =CAP.PK_ID
AND CAP.LANGUAGE_CODE='en'
AND CAP.TABLE_NAME = 'CMN_LOOKUPS') ODF_PRJ_TYPE,
(SELECT CAP.NAME
,LOOKUP.LOOKUP_CODE
FROM S_NLS CAP,
N_LOOKUPS LOOKUP
WHERE LOOKUP_TYPE ='GS_SOURCE_SYSTEM'
AND LOOKUP.ID =CAP.PK_ID
AND CAP.LANGUAGE_CODE='en'
AND CAP.TABLE_NAME = 'CMN_LOOKUPS') ODF_SRC_SYS,
(SELECT CAP.NAME
,LOOKUP.LOOKUP_CODE
FROM S_NLS CAP,
N_LOOKUPS LOOKUP
WHERE LOOKUP_TYPE ='GS_PROG_TYPE'
AND LOOKUP.ID =CAP.PK_ID
AND CAP.LANGUAGE_CODE='en'
AND CAP.TABLE_NAME = 'CMN_LOOKUPS')GS_PROGTYPE,
(SELECT odf_parent_id
,SUM(gs_lab_budg) lab_budg
,SUM(gs_nl_budg) nli_budg
FROM T_CHANGES
WHERE gs_status='APPR'
GROUP BY odf_parent_id) budg,
(SELECT CAP.NAME
,LOOKUP.LOOKUP_CODE
FROM S_NLS CAP,
N_LOOKUPS LOOKUP
WHERE LOOKUP_TYPE ='GS_REV_RECOGNITION'
AND LOOKUP.ID = CAP.PK_ID
AND CAP.LANGUAGE_CODE='en'
AND CAP.TABLE_NAME = 'CMN_LOOKUPS') rev_rec,
(SELECT FRCP1.project_id,
NVL(SUM(CASE WHEN srmr.resource_type=0 THEN for_val.cost ELSE NULL END),0) AS LABOUR,
NVL(SUM(CASE WHEN srmr.resource_type <> 0 THEN for_val.cost ELSE NULL END),0) AS NON_LABOUR,
NVL(SUM(for_val.revenue),0) AS FRCST_REVENUE
FROM T_PROPERTIES FRCP1,
T_DETAILS FOR_DET,
RESOURCES SRMR,
T_VALUES FOR_VAL
WHERE (FRCP1.project_id, revision) IN (SELECT project_id, MAX(revision)
FROM T_PROPERTIES FRCP
WHERE FRCP.status=2
AND FRCP.PERIOD_TYPE='SEMI_MONTHLY'
GROUP BY project_id)
AND FRCP1.PERIOD_TYPE='SEMI_MONTHLY'
AND FOR_DET.forecast_id=frcp1.id
AND SRMR.id(+)=FOR_DET.detail_id
AND FOR_VAL.currency_type='BILLING'
AND FOR_VAL.forecast_details_id=FOR_DET.ID
GROUP BY FRCP1.project_id) frct,
/* (SELECT srmp.id
,NVL(SUM(CASE WHEN wip.transtype='L' THEN WIPVAL.TOTALCOST ELSE NULL END),0) AS LABOUR_ACTUALS
,NVL(SUM(CASE WHEN wip.transtype='M' THEN WIPVAL.TOTALCOST ELSE NULL END),0) AS NL_ACTUALS
FROM A_WIP WIP
,om_periods biz
,P_VALUES WIPVAL
,PROJECTS SRMP
,A_PROJECT ODF
WHERE biz.period_type ='SEMI_MONTHLY'
AND TRUNC(wip.TRANSDATE) BETWEEN biz.start_date AND biz.end_date
AND WIP.TRANSNO=WIPVAL.TRANSNO
AND WIPVAL.CURRENCY_TYPE='BILLING'
AND SRMP.UNIQUE_NAME=WIP.PROJECT_CODE
AND SRMP.ID=ODF.ID
AND UPPER(ODF.partition_code)='GLOBAL'
AND UPPER(WIP.external_id) <> 'SPREADSHEET'
GROUP BY srmp.id) actuals, */ -- Arnab
RESOURCES BUD_HOLDER,
PROJECTS PROJ_TEMPLATE
WHERE SRM.ID = PRJP.PRID
AND ODFP.ID=PRJP.PRID
AND ODFP.PARTITION_CODE='GLOBAL'
AND RESM.id(+)=prjp.manager_id
AND ODFP.GS_PROJECT_TYPE = ODF_PRJ_TYPE.LOOKUP_CODE(+)
AND ODFP.GS_SOURCE_SYSTEM = ODF_SRC_SYS.LOOKUP_CODE(+)
AND ODFP.GS_prog_type = GS_PROGTYPE.LOOKUP_CODE(+)
AND budg.odf_parent_id(+)=SRM.ID
AND frct.project_id(+) = prjp.prid
AND ODFP.gs_risk_gfr=gfr.code(+)
AND ODFP.GS_REV_RECOGNITION=rev_rec.LOOKUP_CODE(+)
AND ODFP.GS_PROJ_ACCT = PROJ_ACCT.ID(+)
AND ODFP.GS_COMM_APPR = COMM_APPR.ID(+)
AND ODFP.GS_PR_APPR = PR_APPR.ID(+)
AND actuals.id(+) = prjp.prid Arnab
AND ODFP.GS_BUDGET_HOLDER=BUD_HOLDER.ID(+)
AND ODFP.GS_TEMPLATE_USED=PROJ_TEMPLATE.ID(+)
This one in SSS where "-- Arnab " are only changes .....
The cost of this 7000.....finishes in 1 - 1.5 min in Toad
This is used as INSERT INTO TABLE <Select Query> ... this was taking 1.5 Hours to run.
It was changed using BULK COLLECT - still its taking around 1.5 hours to run...
Thanks
Arnab

Improving Performance of Dynamic SQL in Pro*C

I am using Dynamic sql format 3 in pro*C,
i.e prepare sqlstmt from :sql_stmt
declare cursor c1 for sqlstmt
But the query is slow .I am also using
order by with ltrim(rtrim(colname))
& sometimes group by .
can anyone tell how to improve performance
of cursors in dynamic sql,or how can
I use the same in Pl/sql with simultaneous
printing of the rows returned,on a file.
null

Manoj,
Typically, the slow performance is due to the SQL statement itself rather than the dynamic SQL execution code in Pro*C.
Check your explain plan to see if the query performs well. I suspect that you will find your problem here.

How to improve performace for this program

Hi,
I want to improve performance for this program.Pls help me.Here is the code.
Thanks
kumar
--# SCCS: @(#)nscdprpt_rpt_fam_fweq_detail_aggr_dml.sql     2.1 08/17/05 12:16:11
--# Location: /appl/dpdm/src/sql/SCCS/s.nscdprpt_rpt_fam_fweq_detail_aggr_dml.sql
-- =============================================================================
-- Purpose:
-- DML Script to calculate aggregate rows from table NSCDPRPT.RPT_FAM_FWEQ_DETAIL
-- inserts one (1) monthly total row for each comparison type (6 of them)
-- Modification History
-- Date Version Who What
-- 28-Jun-05 V1.00 J. Myers Initial Version
-- 17-Aug-05 gzuerc Replaced UNION ALL code with INSERT's to avoid
-- Oracle error out of undo tablespace.
-- ============================================================================
-- NOTES:
-- This process pulls data from RPT_FAM_FWEQ_DETAIL table.
-- The target table RPT_FAM_FWEQ_DETAIL_AGGR is truncated by plan_ctry and loaded daily;
-- it is the data used in the Forecast Accuracy Measurements Report.
-- The input data is 'wide' (6 quantities), and this script outputs a single
-- row for each quantity as a 'thin' table (single column F1_QTY and F2_QTY shared by all quantities), and
-- with a ROW_TYPE = 'TOTAL'
-- Two (2) other scripts add additional rows to this table as follows:
-- 1) nscdprpt_rpt_fam_FWEQ_detail_aggr_sesn_avg_dml.sql => calculates the
-- total quantities F1_QTY, F2_QTY and AE for each LEVEL_VALUE
-- 2) nscdprpt_rpt_fam_FWEQ_detail_aggr_pct_swg_dml.sql => calculates the
-- percent swing in quantities between DISP_EVENTS for each grouping
-- of PLAN_CTRY, DIVISION, SEASON and TRG_EVENT_NUM for only LEVEL_TYPE = 'SUB_CAT'
-- =============================================================================
-- The result set from joining RPT_FAM_FWEQ_DETAIL rows with comparison types
-- is inserted into the table RPT_FAM_FWEQ_DETAIL_AGGR
INSERT INTO rpt_fam_FWEQ_detail_aggr
SELECT plan_ctry,
division,
season,
monthly_seq,
     bucket_month_date,
tier_num,
level_num,
tier_volume,
trg_event_num,
disp_event_num,
max_event_num,
compare_name,
first_display_event_num,
level_type,
level_value,
'TOTAL' AS row_type,
material,
key_material,
sap_cat_cd,
sap_cat_desc,
sap_sub_cat_cd,
sap_sub_cat_desc,
sty_colr_sdesc,
sty_grp_nbr,
sty_grp_desc,
matl_typ,
sap_prod_typ_grp, -- 'Type Group' in Brio
typ_grp_desc, -- 'Type Group' in Brio
curr_prod_i2_life_cyc_cd,
NULL AS promo_ind, -- for future use
-- Each RPT_FAM_FWEQ_DETAIL row's eight (8) quantity columns are broken down
-- into F1_QTY from DISP_aaaa_QTY, F2_QTY from TRG_aaaa_QTY and
     -- AE from aaaa_AE where 'aaaa' is equal to one of the COMPARE_TYPEs below:
-- F1_QTY
CASE WHEN compare_type = 'DELIVERY_PLAN' THEN
disp_dlvry_plan_qty
WHEN compare_type = 'NET' THEN
disp_net_qty
WHEN compare_type = 'NET_AO' THEN
disp_ao_qty
WHEN compare_type = 'NET_FTRS' THEN
disp_futr_qty
WHEN compare_type = 'NET_REPLENS' THEN
disp_replen_qty
WHEN compare_type = 'AUTH_FTRS' THEN
disp_auth_futr_qty
END as f1_qty,
-- F2_QTY
CASE WHEN compare_type = 'DELIVERY_PLAN' THEN
trg_dlvry_plan_qty
WHEN compare_type = 'NET' THEN
trg_net_qty
WHEN compare_type = 'NET_AO' THEN
trg_ao_qty
WHEN compare_type = 'NET_FTRS' THEN
trg_futr_qty
WHEN compare_type = 'NET_REPLENS' THEN
trg_replen_qty
WHEN compare_type = 'AUTH_FTRS' THEN
trg_auth_futures_qty
END as f2_qty,
-- AE
CASE WHEN compare_type = 'DELIVERY_PLAN' THEN
abs(disp_dlvry_plan_qty - trg_dlvry_plan_qty)
WHEN compare_type = 'NET' THEN
abs(disp_net_qty - trg_net_qty)
WHEN compare_type = 'NET_AO' THEN
abs(disp_ao_qty - trg_ao_qty)
WHEN compare_type = 'NET_FTRS' THEN
abs(disp_futr_qty - trg_futr_qty)
WHEN compare_type = 'NET_REPLENS' THEN
abs(disp_replen_qty - trg_replen_qty)
WHEN compare_type = 'AUTH_FTRS' THEN
abs(disp_auth_futr_qty - trg_auth_futures_qty)
END as ae,
SYSDATE AS zz_insert_tmst
FROM
-- The following in-line view provides three (3) result sets from the RPT_FAM_FWEQ_DETAIL table
     -- This in-line view returns only LEVEL_NUM = 1 or LEVEL_TYPE = 'SUB_CAT' data
     SELECT plan_ctry,
     division,
     season,
     monthly_seq,
          bucket_month_date,
     tier_num,
     level_num,
     tier_volume,
     trg_event_num,
     trg_event_type,
     disp_event_num,
     max_event_num,
     first_display_event_num,
     level_type,
     level_value,
     -- The following NULL'd columns' values cannot be saved due to aggregation
     NULL AS material,
     NULL AS key_material,
     sap_cat_cd,
     sap_cat_desc,
     sap_sub_cat_cd,
     sap_sub_cat_desc,
     NULL AS sty_colr_sdesc,
     NULL AS sty_grp_nbr,
     NULL AS sty_grp_desc,
     NULL AS matl_typ,
     sap_prod_typ_grp, -- 'Type Group' in Brio
     typ_grp_desc, -- 'Type Group' in Brio
     NULL AS curr_prod_i2_life_cyc_cd,
     sum(disp_net_qty) AS disp_net_qty,
          sum(trg_net_qty) AS trg_net_qty,
     -- ABS(sum(trg_net_qty) - sum(disp_net_qty)) AS net_AE,
     sum(disp_dlvry_plan_qty) AS disp_dlvry_plan_qty,
          sum(trg_dlvry_plan_qty) AS trg_dlvry_plan_qty,
     -- ABS(sum(trg_dlvry_plan_qty) - sum(disp_dlvry_plan_qty)) AS dlvry_plan_AE,
     sum(disp_futr_qty) AS disp_futr_qty,
          sum(trg_futr_qty) AS trg_futr_qty,
     -- ABS(sum(trg_futr_qty) - sum(disp_futr_qty)) AS futr_AE,
     sum(disp_ao_qty) AS disp_ao_qty,
          sum(trg_ao_qty) AS trg_ao_qty,
     -- ABS(sum(trg_ao_qty) - sum(disp_ao_qty)) AS ao_AE,
     sum(disp_replen_qty) AS disp_replen_qty,
          sum(trg_replen_qty) AS trg_replen_qty,
     -- ABS(sum(trg_replen_qty) - sum(disp_replen_qty)) AS replen_AE,
     sum(disp_futr_qty) AS disp_auth_futr_qty,
          sum(trg_auth_futures_qty) AS trg_auth_futures_qty --,
     -- ABS(sum(trg_auth_futures_qty) - sum(disp_futr_qty)) AS auth_futures_AE
     FROM rpt_fam_FWEQ_detail
     WHERE plan_ctry &where_plan_ctry
     and level_num = 1 -- 'SUB-CAT'
     -- AND (promo_ind <> 'Y' OR promo_ind IS null)
     GROUP BY plan_ctry,
     division,
     season,
     monthly_seq,
          bucket_month_date,
     tier_num,
     level_num,
     tier_volume,
     trg_event_num,
     trg_event_type,
     disp_event_num,
     max_event_num,
     first_display_event_num,
     level_type,
     level_value,
     sap_cat_cd,
     sap_cat_desc,
     sap_sub_cat_cd,
     sap_sub_cat_desc,
     sap_prod_typ_grp, -- 'Type Group' in Brio
     typ_grp_desc -- 'Type Group' in Brio
     ) dtl,
     -- The following in-line view returns all of the different combinations
     -- of comparison types in the RPT_FAM_FWEQ_DETAIL table
     -- This select returns the pairing of all forecast types
     SELECT event_type, compare_type, compare_name
     from
     (SELECT event_type, compare_type, compare_type_description || ' to ' || compare_type_description AS compare_name
     FROM rpt_fam_compare_types
     WHERE event_type = 'FCST'
     UNION
     -- This select returns the pairing of all bookings types with forecast types
     SELECT bkng.event_type, fcst.compare_type, bkng.compare_type_description || ' to ' || fcst.compare_type_description AS compare_name
     FROM rpt_fam_compare_types fcst,
     rpt_fam_compare_types bkng
     WHERE fcst.event_type = 'FCST'
     AND bkng.event_type = 'BKNG'
     AND fcst.compare_type = bkng.compare_type
     WHERE event_type || ' ' || compare_type <> 'FCST AUTH_FTRS'
     AND compare_type NOT IN ('NET_SHIP', 'SHIP_NET_FTRS', 'NET_ETS', 'GROSS_FTRS')
     ) cmpr
-- The two (2) in-line views are joined by EVENT_TYPE (i.e. 'FCST' and 'BKNG')
-- to form a product of all RPT_FAM_FWEQ_DETAIL rows with comparison types
WHERE dtl.trg_event_type = cmpr.event_type
ORDER BY plan_ctry,
division,
season,
monthly_seq,
tier_num,
level_num,
tier_volume,
trg_event_num,
disp_event_num,
max_event_num,
first_display_event_num,
level_type,
level_value
COMMIT
INSERT INTO rpt_fam_FWEQ_detail_aggr
SELECT plan_ctry,
division,
season,
monthly_seq,
     bucket_month_date,
tier_num,
level_num,
tier_volume,
trg_event_num,
disp_event_num,
max_event_num,
compare_name,
first_display_event_num,
level_type,
level_value,
'TOTAL' AS row_type,
material,
key_material,
sap_cat_cd,
sap_cat_desc,
sap_sub_cat_cd,
sap_sub_cat_desc,
sty_colr_sdesc,
sty_grp_nbr,
sty_grp_desc,
matl_typ,
sap_prod_typ_grp, -- 'Type Group' in Brio
typ_grp_desc, -- 'Type Group' in Brio
curr_prod_i2_life_cyc_cd,
NULL AS promo_ind, -- for future use
-- Each RPT_FAM_FWEQ_DETAIL row's eight (8) quantity columns are broken down
-- into F1_QTY from DISP_aaaa_QTY, F2_QTY from TRG_aaaa_QTY and
     -- AE from aaaa_AE where 'aaaa' is equal to one of the COMPARE_TYPEs below:
-- F1_QTY
CASE WHEN compare_type = 'DELIVERY_PLAN' THEN
disp_dlvry_plan_qty
WHEN compare_type = 'NET' THEN
disp_net_qty
WHEN compare_type = 'NET_AO' THEN
disp_ao_qty
WHEN compare_type = 'NET_FTRS' THEN
disp_futr_qty
WHEN compare_type = 'NET_REPLENS' THEN
disp_replen_qty
WHEN compare_type = 'AUTH_FTRS' THEN
disp_auth_futr_qty
END as f1_qty,
-- F2_QTY
CASE WHEN compare_type = 'DELIVERY_PLAN' THEN
trg_dlvry_plan_qty
WHEN compare_type = 'NET' THEN
trg_net_qty
WHEN compare_type = 'NET_AO' THEN
trg_ao_qty
WHEN compare_type = 'NET_FTRS' THEN
trg_futr_qty
WHEN compare_type = 'NET_REPLENS' THEN
trg_replen_qty
WHEN compare_type = 'AUTH_FTRS' THEN
trg_auth_futures_qty
END as f2_qty,
-- AE
CASE WHEN compare_type = 'DELIVERY_PLAN' THEN
abs(disp_dlvry_plan_qty - trg_dlvry_plan_qty)
WHEN compare_type = 'NET' THEN
abs(disp_net_qty - trg_net_qty)
WHEN compare_type = 'NET_AO' THEN
abs(disp_ao_qty - trg_ao_qty)
WHEN compare_type = 'NET_FTRS' THEN
abs(disp_futr_qty - trg_futr_qty)
WHEN compare_type = 'NET_REPLENS' THEN
abs(disp_replen_qty - trg_replen_qty)
WHEN compare_type = 'AUTH_FTRS' THEN
abs(disp_auth_futr_qty - trg_auth_futures_qty)
END as ae,
SYSDATE AS zz_insert_tmst
FROM
     -- This in-line view returns only LEVEL_NUM = 2 or LEVEL_TYPE = 'STYLE_GROUP' data
     (SELECT plan_ctry,
     division,
     season,
     monthly_seq,
          bucket_month_date,
     tier_num,
     level_num,
     tier_volume,
     trg_event_num,
     trg_event_type,
     disp_event_num,
     max_event_num,
     first_display_event_num,
     level_type,
     level_value,
     -- The following NULL'd columns' values cannot be saved due to aggregation
     NULL AS material,
     NULL AS key_material,
     sap_cat_cd,
     sap_cat_desc,
     sap_sub_cat_cd,
     sap_sub_cat_desc,
     NULL AS sty_colr_sdesc,
     sty_grp_nbr,
     sty_grp_desc,
     NULL AS matl_typ,
     sap_prod_typ_grp, -- 'Type Group' in Brio
     typ_grp_desc, -- 'Type Group' in Brio
     NULL AS curr_prod_i2_life_cyc_cd,
     sum(disp_net_qty) AS disp_net_qty,
          sum(trg_net_qty) AS trg_net_qty,
     -- ABS(sum(trg_net_qty) - sum(disp_net_qty)) AS net_AE,
     sum(disp_dlvry_plan_qty) AS disp_dlvry_plan_qty,
          sum(trg_dlvry_plan_qty) AS trg_dlvry_plan_qty,
     -- ABS(sum(trg_dlvry_plan_qty) - sum(disp_dlvry_plan_qty)) AS dlvry_plan_AE,
     sum(disp_futr_qty) AS disp_futr_qty,
          sum(trg_futr_qty) AS trg_futr_qty,
     -- ABS(sum(trg_futr_qty) - sum(disp_futr_qty)) AS futr_AE,
     sum(disp_ao_qty) AS disp_ao_qty,
          sum(trg_ao_qty) AS trg_ao_qty,
     -- ABS(sum(trg_ao_qty) - sum(disp_ao_qty)) AS ao_AE,
     sum(disp_replen_qty) AS disp_replen_qty,
          sum(trg_replen_qty) AS trg_replen_qty,
     -- ABS(sum(trg_replen_qty) - sum(disp_replen_qty)) AS replen_AE,
     sum(disp_futr_qty) AS disp_auth_futr_qty,
          sum(trg_auth_futures_qty) AS trg_auth_futures_qty --,
     -- ABS(sum(trg_auth_futures_qty) - sum(disp_futr_qty)) AS auth_futures_AE
     FROM rpt_fam_FWEQ_detail
     WHERE plan_ctry &where_plan_ctry
     and level_num = 2 -- 'STYLE-GRP' or 'STYLE'
     -- AND (promo_ind <> 'Y' OR promo_ind IS null)
     GROUP BY plan_ctry,
     division,
     season,
     monthly_seq,
          bucket_month_date,
     tier_num,
     level_num,
     tier_volume,
     trg_event_num,
     trg_event_type,
     disp_event_num,
     max_event_num,
     first_display_event_num,
     level_type,
     level_value,
     sap_cat_cd,
     sap_cat_desc,
     sap_sub_cat_cd,
     sap_sub_cat_desc,
     sty_grp_nbr,
     sty_grp_desc,
     sap_prod_typ_grp, -- 'Type Group' in Brio
     typ_grp_desc -- 'Type Group' in Brio
     ) dtl,
     -- The following in-line view returns all of the different combinations
     -- of comparison types in the RPT_FAM_FWEQ_DETAIL table
     -- This select returns the pairing of all forecast types
     SELECT event_type, compare_type, compare_name
     from
     (SELECT event_type, compare_type, compare_type_description || ' to ' || compare_type_description AS compare_name
     FROM rpt_fam_compare_types
     WHERE event_type = 'FCST'
     UNION
     -- This select returns the pairing of all bookings types with forecast types
     SELECT bkng.event_type, fcst.compare_type, bkng.compare_type_description || ' to ' || fcst.compare_type_description AS compare_name
     FROM rpt_fam_compare_types fcst,
     rpt_fam_compare_types bkng
     WHERE fcst.event_type = 'FCST'
     AND bkng.event_type = 'BKNG'
     AND fcst.compare_type = bkng.compare_type
     WHERE event_type || ' ' || compare_type <> 'FCST AUTH_FTRS'
     AND compare_type NOT IN ('NET_SHIP', 'SHIP_NET_FTRS', 'NET_ETS', 'GROSS_FTRS')
     ) cmpr
-- The two (2) in-line views are joined by EVENT_TYPE (i.e. 'FCST' and 'BKNG')
-- to form a product of all RPT_FAM_FWEQ_DETAIL rows with comparison types
WHERE dtl.trg_event_type = cmpr.event_type
ORDER BY plan_ctry,
division,
season,
monthly_seq,
tier_num,
level_num,
tier_volume,
trg_event_num,
disp_event_num,
max_event_num,
first_display_event_num,
level_type,
level_value
COMMIT
INSERT INTO rpt_fam_FWEQ_detail_aggr
SELECT plan_ctry,
division,
season,
monthly_seq,
     bucket_month_date,
tier_num,
level_num,
tier_volume,
trg_event_num,
disp_event_num,
max_event_num,
compare_name,
first_display_event_num,
level_type,
level_value,
'TOTAL' AS row_type,
material,
key_material,
sap_cat_cd,
sap_cat_desc,
sap_sub_cat_cd,
sap_sub_cat_desc,
sty_colr_sdesc,
sty_grp_nbr,
sty_grp_desc,
matl_typ,
sap_prod_typ_grp, -- 'Type Group' in Brio
typ_grp_desc, -- 'Type Group' in Brio
curr_prod_i2_life_cyc_cd,
NULL AS promo_ind, -- for future use
-- Each RPT_FAM_FWEQ_DETAIL row's eight (8) quantity columns are broken down
-- into F1_QTY from DISP_aaaa_QTY, F2_QTY from TRG_aaaa_QTY and
     -- AE from aaaa_AE where 'aaaa' is equal to one of the COMPARE_TYPEs below:
-- F1_QTY
CASE WHEN compare_type = 'DELIVERY_PLAN' THEN
disp_dlvry_plan_qty
WHEN compare_type = 'NET' THEN
disp_net_qty
WHEN compare_type = 'NET_AO' THEN
disp_ao_qty
WHEN compare_type = 'NET_FTRS' THEN
disp_futr_qty
WHEN compare_type = 'NET_REPLENS' THEN
disp_replen_qty
WHEN compare_type = 'AUTH_FTRS' THEN
disp_auth_futr_qty
END as f1_qty,
-- F2_QTY
CASE WHEN compare_type = 'DELIVERY_PLAN' THEN
trg_dlvry_plan_qty
WHEN compare_type = 'NET' THEN
trg_net_qty
WHEN compare_type = 'NET_AO' THEN
trg_ao_qty
WHEN compare_type = 'NET_FTRS' THEN
trg_futr_qty
WHEN compare_type = 'NET_REPLENS' THEN
trg_replen_qty
WHEN compare_type = 'AUTH_FTRS' THEN
trg_auth_futures_qty
END as f2_qty,
-- AE
CASE WHEN compare_type = 'DELIVERY_PLAN' THEN
abs(disp_dlvry_plan_qty - trg_dlvry_plan_qty)
WHEN compare_type = 'NET' THEN
abs(disp_net_qty - trg_net_qty)
WHEN compare_type = 'NET_AO' THEN
abs(disp_ao_qty - trg_ao_qty)
WHEN compare_type = 'NET_FTRS' THEN
abs(disp_futr_qty - trg_futr_qty)
WHEN compare_type = 'NET_REPLENS' THEN
abs(disp_replen_qty - trg_replen_qty)
WHEN compare_type = 'AUTH_FTRS' THEN
abs(disp_auth_futr_qty - trg_auth_futures_qty)
END as ae,
SYSDATE AS zz_insert_tmst
FROM
     -- This in-line view returns only LEVEL_NUM = 3 or LEVEL_TYPE = 'MATL' data
     (SELECT plan_ctry,
     division,
     season,
     monthly_seq,
          bucket_month_date,
     tier_num,
     level_num,
     tier_volume,
     trg_event_num,
     trg_event_type,
     disp_event_num,
     max_event_num,
     first_display_event_num,
     level_type,
     level_value,
     material,
     key_material,
     sap_cat_cd,
     sap_cat_desc,
     sap_sub_cat_cd,
     sap_sub_cat_desc,
     sty_colr_sdesc,
     sty_grp_nbr,
     sty_grp_desc,
     matl_typ,
     sap_prod_typ_grp, -- 'Type Group' in Brio
     typ_grp_desc, -- 'Type Group' in Brio
     curr_prod_i2_life_cyc_cd,
     sum(disp_net_qty) AS disp_net_qty,
          sum(trg_net_qty) AS trg_net_qty,
     -- ABS(sum(trg_net_qty) - sum(disp_net_qty)) AS net_AE,
     sum(disp_dlvry_plan_qty) AS disp_dlvry_plan_qty,
          sum(trg_dlvry_plan_qty) AS trg_dlvry_plan_qty,
     -- ABS(sum(trg_dlvry_plan_qty) - sum(disp_dlvry_plan_qty)) AS dlvry_plan_AE,
     sum(disp_futr_qty) AS disp_futr_qty,
          sum(trg_futr_qty) AS trg_futr_qty,
     -- ABS(sum(trg_futr_qty) - sum(disp_futr_qty)) AS futr_AE,
     sum(disp_ao_qty) AS disp_ao_qty,
          sum(trg_ao_qty) AS trg_ao_qty,
     -- ABS(sum(trg_ao_qty) - sum(disp_ao_qty)) AS ao_AE,
     sum(disp_replen_qty) AS disp_replen_qty,
          sum(trg_replen_qty) AS trg_replen_qty,
     -- ABS(sum(trg_replen_qty) - sum(disp_replen_qty)) AS replen_AE,
     sum(disp_futr_qty) AS disp_auth_futr_qty,
          sum(trg_auth_futures_qty) AS trg_auth_futures_qty --,
     -- ABS(sum(trg_auth_futures_qty) - sum(disp_futr_qty)) AS auth_futures_AE
     FROM rpt_fam_FWEQ_detail
     WHERE plan_ctry &where_plan_ctry
     and level_num = 3 -- 'MATERIAL'
     -- AND promo_ind <> 'Y'
     GROUP BY plan_ctry,
     division,
     season,
     monthly_seq,
          bucket_month_date,
     tier_num,
     level_num,
     tier_volume,
     trg_event_num,
     trg_event_type,
     disp_event_num,
     max_event_num,
     first_display_event_num,
     level_type,
     level_value,
     material,
     key_material,
     sap_cat_cd,
     sap_cat_desc,
     sap_sub_cat_cd,
     sap_sub_cat_desc,
     sty_colr_sdesc,
     sty_grp_nbr,
     sty_grp_desc,
     matl_typ,
     sap_prod_typ_grp, -- 'Type Group' in Brio
     typ_grp_desc, -- 'Type Group' in Brio
     curr_prod_i2_life_cyc_cd
     ) dtl,
     -- The following in-line view returns all of the different combinations
     -- of comparison types in the RPT_FAM_FWEQ_DETAIL table
     -- This select returns the pairing of all forecast types
     SELECT event_type, compare_type, compare_name
     from
     (SELECT event_type, compare_type, compare_type_description || ' to ' || compare_type_description AS compare_name
     FROM rpt_fam_compare_types
     WHERE event_type = 'FCST'
     UNION
     -- This select returns the pairing of all bookings types with forecast types
     SELECT bkng.event_type, fcst.compare_type, bkng.compare_type_description || ' to ' || fcst.compare_type_description AS compare_name
     FROM rpt_fam_compare_types fcst,
     rpt_fam_compare_types bkng
     WHERE fcst.event_type = 'FCST'
     AND bkng.event_type = 'BKNG'
     AND fcst.compare_type = bkng.compare_type
     WHERE event_type || ' ' || compare_type <> 'FCST AUTH_FTRS'
     AND compare_type NOT IN ('NET_SHIP', 'SHIP_NET_FTRS', 'NET_ETS', 'GROSS_FTRS')
     ) cmpr
-- The two (2) in-line views are joined by EVENT_TYPE (i.e. 'FCST' and 'BKNG')
-- to form a product of all RPT_FAM_FWEQ_DETAIL rows with comparison types
WHERE dtl.trg_event_type = cmpr.event_type
ORDER BY plan_ctry,
division,
season,
monthly_seq,
tier_num,
level_num,
tier_volume,
trg_event_num,
disp_event_num,
max_event_num,
first_display_event_num,
level_type,
level_value
COMMIT
/

I agree.
SELECT ticket_no,name_of_the_passenger..
FROM ticket_master
WHERE ticket_no NOT IN
(SELECT Ticket_no
FROM ticket_cancellations
WHERE trip_id = my_trip_id);
This involves creating a little temp table for each record in ticket_no. Then full scanning it.
Change it to
SELECT ticket_no,name_of_the_passenger..
FROM ticket_master B
WHERE ticket_no NOT EXISTS
(SELECT null
FROM ticket_cancellations A
WHERE A.ticket_no = B.ticket_no
AND trip_id = my_trip_id);
Then you get an index hit in both cases.

How to improve performance of MediaPlayer?

I tried to use the MediaPlayer with a On2 VP6 flv movie.
Showing a video with a resolution of 1024x768 works.
Showing a video with a resolution of 1280x720 and a average bitrate of 1700 kb/s leads to a delay of the video signal behind the audio signal of a couple of seconds. VLC, Media Player Classic and a couple of other players have no problem with the video. Only the FX MediaPlayer shows a poor performance.
Additionally mouse events in a second stage (the first stage is used for the video) are not processed in 2 of 3 cases. If the MediaPlayer is switched off, the mouse events work reliable.
Does somebody know a solution for this problems?
Cheers
masim

duplicate thread..
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Hi
How to add a parameter to sql query in report.
Parameter is from Visual studio
example:
select * from tab1 where dl=parameter???
I have VS 2008 prof CR XI R2, mysql

Hello,
If you have this API available then you can modify the record selection formulae in code to add filtering:
string recordSelectionFormula = "{T_INV_RPT_ADDR.IND_PROMUS} = {?P_PROMUS?} AND {T_INV_RPT_POINT.INVOICE_DATE} = DATE(2008, 05, 31) AND {T_INV_RPT_POINT.CHECKOUT_DATE} = date(2008, 04,29)";
CrystalDecisions.CrystalReports.Engine.ReportDocument.RecordSelectionFormula = recordSelectionFormula;
You have to format and follow the rules as in the Designer so not too much work to get this to work.
CR for .NET may not have the ability so you will need to upgrade to a Developer version of Crystal Reports.
Thank you
Don

How to improve performance of insert statement

Hi all,
How to improve performance of insert statement
I am inserting 1lac records into table it takes around 20 min..
Plz help.
Thanx In Advance.

I tried :
SQL> create table test as select * from dba_objects;
Table created.
SQL> delete from test;
3635 rows deleted.
SQL> commit;
Commit complete.
SQL> select count(*) from dba_extents where segment_name='TEST';
COUNT(*)
4
SQL> insert /*+ APPEND */ into test select * from dba_objects;
3635 rows created.
SQL> commit;
Commit complete.
SQL> select count(*) from dba_extents where segment_name='TEST';
COUNT(*)
6
Cheers, Bhupinder

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