What is the base of Explain Plan?
On what basis oracle generates explain plan? I mean, is it based on table structure which we are using in SQL query OR it is based on rows exists in table, Or something else.
user2081225 wrote:
On what basis oracle generates explain plan? I mean, is it based on table structure which we are using in SQL query OR it is based on rows exists in table, Or something else.SQL data is stored in specific data structures. Some SQL data will be indexed. These indexes are also stored in specific data structures.
To retrieve data from these structures, you need a program (a series of executable commands that can find and retrieve the required data).
A SQL query is human readable source code that means nothing to Oracle ito how to find the required rows. It needs to take that source code and compile it into binary machine-like code. In other words, it needs to create an executable program (called a cursor) that can be run to find the required rows.
The execution plan is a human readable format of this program - it shows how the cursor will be executed.
How does it construct the program?
It has a set of modules that can do different things (ito data access). E.g. scan an entire table using a full table scan. Scan a unique index to find the address (rowid) of a row. Scan a non-unique indexes using a range scan and return a range of row addresses. Etc.
It also has algorithms on how to combine these data retrieval methods. For example, hash joining the output of such operations. Merge joining the output of index scans. Using a nested loop, where the inner loop is executed for the data found by the outer loop. Etc.
So the CBO dynamically builds a program (cursor) that consists of methods to get to the data required, and processing algorithms to glue these methods together into a logical process flow.
It does this based on data (stats) it has about the tables and indexes (data volumes, distribution, etc), about the type of data structures used for the relevant tables and indexes (hash tables, iot's, b-trees, bitmaps, partitions, clusters..), and so on.
The CBO is a pretty clever piece of software that dynamically writes data retrieval programs called cursors. And unfortunately this complexity is often underestimated and misunderstood.
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What privileges needed for producing explain plan for other user's object ?
Hi there,
What privileges needed for producing explain plan for other user's object (tables) ?
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create user bob identified by bob;
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Understand the output of explain plan
I am trying to understand the output of explain plan. I have 2 plans below and don't understand it completely.
In below SQL I would expect optimizer to fetch "ROWNUM < 500" first and then do the outer join. But below explain plan doesn't list it as No. 1. So I don't really understand how to intepret the sequence from the explain plan:
select TASK0_.TASK_ID from
( select TASK0_.TASK_ID from
( select task0_.task_id from task task0_) TASK0_ where ROWNUM < 500 ) TASK0_
left outer join f_message_task task0_1_ on task0_.task_id=task0_1_.task_id
left outer join b_a_task task0_2_ on task0_.task_id=task0_2_.task_id
left outer join i_task task0_3_ on task0_.task_id=task0_3_.task_id
left outer join o_task task0_4_ on task0_.task_id=task0_4_.task_id
left outer join r_transmission_task task0_5_ on task0_.task_id=task0_5_.task_id
left outer join s_error_task task0_6_ on task0_.task_id=task0_6_.task_id
PLAN_TABLE_OUTPUT
Plan hash value: 707970537
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 499 | 19461 | 1042 (6)| 00:00:13 |
|* 1 | HASH JOIN OUTER | | 499 | 19461 | 1042 (6)| 00:00:13 |
|* 2 | HASH JOIN OUTER | | 499 | 16966 | 757 (6)| 00:00:10 |
| 3 | NESTED LOOPS OUTER | | 499 | 14471 | 589 (4)| 00:00:08 |
| 4 | NESTED LOOPS OUTER | | 499 | 12475 | 588 (4)| 00:00:08 |
| 5 | NESTED LOOPS OUTER | | 499 | 10479 | 588 (4)| 00:00:08 |
| 6 | NESTED LOOPS OUTER | | 499 | 8982 | 588 (4)| 00:00:08 |
| 7 | VIEW | | 499 | 2495 | 588 (4)| 00:00:08 |
|* 8 | COUNT STOPKEY | | | | | |
| 9 | INDEX FAST FULL SCAN| PK_TASK | 697K| 3403K| 588 (4)| 00:00:08 |
|* 10 | INDEX UNIQUE SCAN | PK_r_TRANSMISSION | 1 | 13 | 0 (0)| 00:00:01 |
|* 11 | INDEX UNIQUE SCAN | PK_b_a_TASK | 1 | 3 | 0 (0)| 00:00:01 |
|* 12 | INDEX UNIQUE SCAN | PK_s_ERROR_TASK | 1 | 4 | 0 (0)| 00:00:01 |
|* 13 | INDEX UNIQUE SCAN | PK_i_TASK | 1 | 4 | 0 (0)| 00:00:01 |
| 14 | INDEX FAST FULL SCAN | PK_o_TASK | 347K| 1695K| 161 (6)| 00:00:02 |
| 15 | INDEX FAST FULL SCAN | PK_f_MESSAGE | 392K| 1917K| 276 (4)| 00:00:04 |
Predicate Information (identified by operation id):
1 - access("TASK0_"."TASK_ID"="TASK0_1_"."TASK_ID"(+))
2 - access("TASK0_"."TASK_ID"="TASK0_4_"."TASK_ID"(+))
8 - filter(ROWNUM<500)
10 - access("TASK0_"."TASK_ID"="TASK0_5_"."TASK_ID"(+))
11 - access("TASK0_"."TASK_ID"="TASK0_2_"."TASK_ID"(+))
12 - access("TASK0_"."TASK_ID"="TASK0_6_"."TASK_ID"(+))
13 - access("TASK0_"."TASK_ID"="TASK0_3_"."TASK_ID"(+))
In below SQL I expect rownum to be applied at the end but it gets applied first:
select * from ( select TASK0_.TASK_ID from ( select task0_.task_id from task task0_
left outer join f_message_task task0_1_ on task0_.task_id=task0_1_.task_id
left outer join b_a_task task0_2_ on task0_.task_id=task0_2_.task_id
left outer join i_task task0_3_ on task0_.task_id=task0_3_.task_id
left outer join o_task task0_4_ on task0_.task_id=task0_4_.task_id
left outer join r_t_task task0_5_ on task0_.task_id=task0_5_.task_id
left outer join s_error_task task0_6_ on task0_.task_id=task0_6_.task_id
) TASK0_ where ROWNUM < 500 ) TASK0_;
PLAN_TABLE_OUTPUT
Plan hash value: 673345378
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 499 | 6487 | 507 (1)| 00:00:07 |
| 1 | VIEW | | 499 | 6487 | 507 (1)| 00:00:07 |
|* 2 | COUNT STOPKEY | | | | | |
| 3 | NESTED LOOPS OUTER | | 501 | 19539 | 507 (1)| 00:00:07 |
| 4 | NESTED LOOPS OUTER | | 501 | 17034 | 5 (20)| 00:00:01 |
| 5 | NESTED LOOPS OUTER | | 501 | 15030 | 5 (20)| 00:00:01 |
| 6 | NESTED LOOPS OUTER | | 501 | 13026 | 5 (20)| 00:00:01 |
| 7 | NESTED LOOPS OUTER | | 501 | 11523 | 5 (20)| 00:00:01 |
| 8 | NESTED LOOPS OUTER | | 501 | 5010 | 5 (20)| 00:00:01 |
| 9 | INDEX FAST FULL SCAN| PK_TASK | 499 | 2495 | 2 (0)| 00:00:01 |
|* 10 | INDEX UNIQUE SCAN | PK_o_TASK | 1 | 5 | 1 (0)| 00:00:01 |
|* 11 | INDEX UNIQUE SCAN | PK_r_T | 1 | 13 | 0 (0)| 00:00:01 |
|* 12 | INDEX UNIQUE SCAN | PK_b_a_TASK | 1 | 3 | 0 (0)| 00:00:01 |
|* 13 | INDEX UNIQUE SCAN | PK_s_ERROR_TASK | 1 | 4 | 0 (0)| 00:00:01 |
|* 14 | INDEX UNIQUE SCAN | PK_i_TASK | 1 | 4 | 0 (0)| 00:00:01 |
|* 15 | INDEX UNIQUE SCAN | PK_f_MESSAGE | 1 | 5 | 1 (0)| 00:00:01 |
Predicate Information (identified by operation id):
2 - filter(ROWNUM<500)
10 - access("TASK0_"."TASK_ID"="TASK0_4_"."TASK_ID"(+))
11 - access("TASK0_"."TASK_ID"="TASK0_5_"."TASK_ID"(+))
12 - access("TASK0_"."TASK_ID"="TASK0_2_"."TASK_ID"(+))
13 - access("TASK0_"."TASK_ID"="TASK0_6_"."TASK_ID"(+))
14 - access("TASK0_"."TASK_ID"="TASK0_3_"."TASK_ID"(+))
15 - access("TASK0_"."TASK_ID"="TASK0_1_"."TASK_ID"(+))Edited by: user628400 on Feb 20, 2009 12:14 PM
Edited by: user628400 on Feb 20, 2009 12:15 PMPlease read the FAQ: http://forums.oracle.com/forums/help.jspa
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Help in interpreting the output of explain plan
Hi,
I have written a query in two different ways and then run an explain plan on both of them. Both these queries give same result. I want to know which one will be more efficient. I am giving the output of explain plan for both the queries:
The second plan has a lower cost but has much higher consistent gets !!
Please advise.
Plan 1:
Execution Plan
0 SELECT STATEMENT Optimizer=HINT: FIRST_ROWS (Cost=8637 Card= 1 Bytes=10132)
1 0 SORT (ORDER BY) (Cost=8637 Card=1 Bytes=10132)
2 1 WINDOW (SORT) (Cost=8637 Card=1 Bytes=10132)
3 2 COUNT (STOPKEY)
4 3 VIEW (Cost=8635 Card=1 Bytes=10132)
5 4 SORT (ORDER BY) (Cost=8635 Card=1 Bytes=862)
6 5 WINDOW (SORT) (Cost=8635 Card=1 Bytes=862)
7 6 MAT_VIEW ACCESS (FULL) OF 'PRD_SEARCH_MVW' (MAT_VIEW) (Cost=8633 Card=1 Bytes=862)
Statistics
577 recursive calls
0 db block gets
39202 consistent gets
34798 physical reads
0 redo size
72348 bytes sent via SQL*Net to client
4295 bytes received via SQL*Net from client
9 SQL*Net roundtrips to/from client
10 sorts (memory)
0 sorts (disk)
100 rows processed
Plan-2
Execution Plan
0 SELECT STATEMENT Optimizer=HINT: FIRST_ROWS (Cost=982 Card=1 Bytes=10145)
1 0 SORT (ORDER BY) (Cost=982 Card=1 Bytes=10145)
2 1 WINDOW (SORT) (Cost=982 Card=1 Bytes=10145)
3 2 COUNT (STOPKEY)
4 3 VIEW (Cost=980 Card=1 Bytes=10145)
5 4 SORT (ORDER BY) (Cost=980 Card=1 Bytes=10132)
6 5 WINDOW (SORT) (Cost=980 Card=1 Bytes=10132)
7 6 WINDOW (SORT) (Cost=980 Card=1 Bytes=10132)
8 7 VIEW (Cost=977 Card=1 Bytes=10132)
9 8 WINDOW (SORT PUSHED RANK) (Cost=977 Card=1 Bytes=889)
10 9 NESTED LOOPS (Cost=976 Card=1 Bytes=889)
11 10 HASH JOIN (Cost=305 Card=670 Bytes=18090)
12 11 HASH JOIN (Cost=23 Card=140 Bytes=2240)
13 12 INDEX (FAST FULL SCAN) OF 'GLCAT_GRP_TO_CAT_PK' (INDEX (UNIQUE)) (Cost=2 Card=52 Bytes=364)
14 12 MAT_VIEW ACCESS (FULL) OF 'GLCAT_CAT_TO_MCAT' (MAT_VIEW) (Cost=20 Card=1039 Bytes=9351)
15 11 INDEX (FAST FULL SCAN) OF 'PCITEM2GLCATMCAT_FK_IDS' (INDEX) (Cost=281 Card=16903 Bytes=185933)
16 10 MAT_VIEW ACCESS (BY INDEX ROWID) OF 'PRD_SEARCH_MVW' (MAT_VIEW) (Cost=1 Card=1 Bytes=862)
17 16 INDEX (UNIQUE SCAN) OF 'PK_PRD_SEARCH_ID' (INDEX (UNIQUE)) (Cost=0 Card=1)
Statistics
481 recursive calls
2 db block gets
195742 consistent gets
7516 physical reads
0 redo size
71567 bytes sent via SQL*Net to client
6629 bytes received via SQL*Net from client
9 SQL*Net roundtrips to/from client
15 sorts (memory)
1 sorts (disk)
100 rows processedRegards
Madhup
Message was edited by:
MadhupThanks a lot for you input. I am posting both the queries below. My requirements are following:
1) I have a products table
2) I have Created grouping hierarchy - Groups, Categories and then Micro-categories - and have setup a separate table for each of them in my database
3) Then I have mapping tables, i.e. a table that stores group to category mapping, another table that stores category to micro-category mapping.
4) Products are mapped directly to micro-categories and one product could be mapped to multiple micro-categories.
5) I have created a materialized view on product and store the mappings as comma separated list of IDs - I have three fields there, on to store comma separated group id, second to store comma separated category ids and third to store the comma separated micro category ids to which the product is mapped.
Now I want to write a query that will return a specified number of matches from this table based on user defined criterion. There are few other filter cirterion apart from Group/Category and Microcategory. These are Company Name, Country, Type of company etc.
This query when run on production will be accessed very frequently - I expect the access to be in the tune of around 5-10 times per second.
There are 50 records in the group table
There are 500 categories
There are 20000 micro-categories
Group to category mapping table has around 1000 records
Category to microcategory table has around 25000 records
The product table has around 100,000 products.
Product to microcategory mapping table has 350000 records
The product mview has the same number of records as that in products table.
The first query uses the single materialized view to access data, however, it always does a full table scan and does not use any index.
When I noticed this in the explain plan, then I tried to write the second query which is using JOINs to arrive at the same output.
The explain plan now says that it is using Index scans.
I did a sample run of both the queries on my production system and I had to withdraw both of them as both brought my system to grinding halt within few minutes of going live.
My system at present receives around 3000 requests per hour during peak load and around 600 requests per hour during off-peak hours.
And I was testing these queries in Off-peak hours !!
Here are the two sql queries just for reference - there are several variables plugged in where clause which are the key drivers of the query:
SQL-1
SELECT DECODE(:OPT,2,A.SC,(MAX(A.SC) OVER (PARTITION BY A.PRD_SEARCH_COMPANY))) AS SO,
A.SC, A.PRD_SEARCH_ID,
A.PRD_SEARCH_COMPANY_ID, A.PRD_SEARCH_COMPANY, A.PRD_SEARCH_COMPANYID_ENCRYPTED,
A.PRD_SEARCH_PCID, A.PRD_SEARCH_URL, A.PRD_SEARCH_PC_CLNT_HOME,
A.PRD_SEARCH_CLNT_ENABLED, A.PRD_SEARCH_CODE, A.PRD_SEARCH_NAME,
A.PRD_SEARCH_DESC_SMALL, A.PRD_SEARCH_DESC_DETAILED, A.PRD_SEARCH_DESC_HTML,
A.PRD_SEARCH_IMG_SMALL, A.PRD_SEARCH_IMG_LARGE, A.PRD_SEARCH_WEIGHT_ITEM,
A.PRD_SEARCH_MODIFIEDDATE, A.PRD_SEARCH_SIZE, A.PRD_SEARCH_LABEL1,
A.PRD_SEARCH_LABEL1_VALUE, A.PRD_SEARCH_LABEL2, A.PRD_SEARCH_LABEL2_VALUE,
A.PRD_SEARCH_LABEL3, A.PRD_SEARCH_LABEL3_VALUE, A.PRD_SEARCH_LABEL4,
A.PRD_SEARCH_LABEL4_VALUE, A.PRD_SEARCH_LABEL5, A.PRD_SEARCH_LABEL5_VALUE,
A.PRD_SEARCH_LABEL6, A.PRD_SEARCH_LABEL6_VALUE, A.PRD_SEARCH_CAT_ID,
A.PRD_SEARCH_CAT_NAME, A.PRD_SEARCH_CAT_FLNAME, A.PRD_SEARCH_NAVIGATION_TREE,
A.PRD_SEARCH_NAVIGATION_TREE_ID,A.PRD_SEARCH_CITY, A.PRD_SEARCH_STATE,
A.PRD_SEARCH_COUNTRY, A.PRD_SEARCH_PRICE_SALE, A.PRD_SEARCH_PC_CLNT_TYPE,
A.PRD_SEARCH_PC_CLNT_TYPE_DESC,
A.PRD_SEARCH_COMPANY_PHONE, A.PRD_SEARCH_COMPANY_MOBILE, A.PRD_SEARCH_COMPANY_FAX,
A.PRD_SEARCH_COMPANY_EMAIL, A.PRD_SEARCH_GLCAT_MCAT_ID_LIST, A.PRD_SEARCH_GLCAT_CAT_ID_LIST,
A.PRD_SEARCH_GLCAT_GRP_ID_LIST, A.PRD_SEARCH_GL_COUNTRY_ISO, A.PRD_SEARCH_GLUSR_USR_ID,
A.PRD_SEARCH_TRUSTSEAL_CODE, A.PRD_SEARCH_CUSTTYPE_ID, A.PRD_SEARCH_CUSTTYPE_NAME,
A.PRD_SEARCH_CUSTTYPE_WEIGHT, A.PRD_SEARCH_CUSTTYPE_WEIGHT_TZ, A.PRD_SEARCH_CUSTTYPE_RANK,
A.PRD_SEARCH_PC_ITEM_HOTNEW, A.RK
FROM
(SELECT /*+ FIRST_ROWS (500) */ DECODE(:S_MODE,2,1,3,to_number(to_char(PRD_SEARCH_MODIFIEDDATE,'yyyymmdd')),1) AS SC,
PRD_SEARCH_ID,
PRD_SEARCH_COMPANY_ID, PRD_SEARCH_COMPANY, PRD_SEARCH_COMPANYID_ENCRYPTED,
PRD_SEARCH_PCID, PRD_SEARCH_URL, PRD_SEARCH_PC_CLNT_HOME,
PRD_SEARCH_CLNT_ENABLED, PRD_SEARCH_CODE, PRD_SEARCH_NAME,
PRD_SEARCH_DESC_SMALL, PRD_SEARCH_DESC_DETAILED, PRD_SEARCH_DESC_HTML,
PRD_SEARCH_IMG_SMALL, PRD_SEARCH_IMG_LARGE, PRD_SEARCH_WEIGHT_ITEM,
PRD_SEARCH_MODIFIEDDATE, PRD_SEARCH_SIZE, PRD_SEARCH_LABEL1,
PRD_SEARCH_LABEL1_VALUE, PRD_SEARCH_LABEL2, PRD_SEARCH_LABEL2_VALUE,
PRD_SEARCH_LABEL3, PRD_SEARCH_LABEL3_VALUE, PRD_SEARCH_LABEL4,
PRD_SEARCH_LABEL4_VALUE, PRD_SEARCH_LABEL5, PRD_SEARCH_LABEL5_VALUE,
PRD_SEARCH_LABEL6, PRD_SEARCH_LABEL6_VALUE, PRD_SEARCH_CAT_ID,
PRD_SEARCH_CAT_NAME, PRD_SEARCH_CAT_FLNAME, PRD_SEARCH_NAVIGATION_TREE,
PRD_SEARCH_NAVIGATION_TREE_ID,PRD_SEARCH_CITY, PRD_SEARCH_STATE,
PRD_SEARCH_COUNTRY, PRD_SEARCH_PRICE_SALE, PRD_SEARCH_PC_CLNT_TYPE,
PRD_SEARCH_PC_CLNT_TYPE_DESC,
PRD_SEARCH_COMPANY_PHONE, PRD_SEARCH_COMPANY_MOBILE, PRD_SEARCH_COMPANY_FAX,
PRD_SEARCH_COMPANY_EMAIL, PRD_SEARCH_GLCAT_MCAT_ID_LIST, PRD_SEARCH_GLCAT_CAT_ID_LIST,
PRD_SEARCH_GLCAT_GRP_ID_LIST, PRD_SEARCH_GL_COUNTRY_ISO, PRD_SEARCH_GLUSR_USR_ID,
PRD_SEARCH_TRUSTSEAL_CODE, PRD_SEARCH_CUSTTYPE_ID, PRD_SEARCH_CUSTTYPE_NAME,
PRD_SEARCH_CUSTTYPE_WEIGHT, PRD_SEARCH_CUSTTYPE_WEIGHT_TZ, PRD_SEARCH_CUSTTYPE_RANK,
PRD_SEARCH_PC_ITEM_HOTNEW,
ROW_NUMBER() OVER (PARTITION BY PRD_SEARCH_COMPANY_ID
ORDER BY DECODE(:S_MODE,2,1,3,to_number(to_char(PRD_SEARCH_MODIFIEDDATE,'yyyymmdd')),1) DESC) AS RK
FROM PRD_SEARCH
WHERE DECODE(:GRP_ID_STR,NULL,1,REGEXP_INSTR(','||REPLACE(PRD_SEARCH_GLCAT_GRP_ID_LIST,' ','')||',',:MYGRP_ID_STR)) > 0
AND DECODE(:CAT_ID_STR,NULL,1,REGEXP_INSTR(','||REPLACE(PRD_SEARCH_GLCAT_CAT_ID_LIST,' ','')||',',:MYCAT_ID_STR)) > 0
AND DECODE(:MCAT_ID_STR,NULL,1,REGEXP_INSTR(','||REPLACE(PRD_SEARCH_GLCAT_MCAT_ID_LIST,' ','')||',',:MYMCAT_ID_STR)) > 0
AND DECODE(:ITEM_ID_STR,NULL,1,REGEXP_INSTR(','||PRD_SEARCH_ID||',',:MYITEM_ID_STR)) > 0
AND DECODE(:COUNTRY_ISO,NULL,1,REGEXP_INSTR(','||PRD_SEARCH_GL_COUNTRY_ISO||',',:COUNTRY_ISO)) > 0
AND DECODE(nvl(NULL,0),0,1,PRD_SEARCH_COMPANY_ID) = DECODE(nvl(NULL,0),0,1,NULL)
AND DECODE(nvl(NULL,0),0,1,PRD_SEARCH_GLUSR_USR_ID) = DECODE(nvl(NULL,0),0,1,NULL)
AND PRD_SEARCH_CLNT_ENABLED >= nvl(:LIST_TYPE,0)
AND NVL(Length(PRD_SEARCH_TRUSTSEAL_CODE),0) >= :TSONLY
ORDER BY SC DESC, PRD_SEARCH_CUSTTYPE_WEIGHT ASC, DBMS_RANDOM.RANDOM
) A
WHERE A.RK <= :MY_PRD_PER_COMP
AND ROWNUM <= :MYMAXREC
ORDER BY SO DESC, DECODE(:OPT,2,'1',A.PRD_SEARCH_COMPANY), A.RK ASC, DBMS_RANDOM.RANDOM
SQL-2
SELECT
DECODE(:OPT,2,SC,(MAX(SC) OVER (PARTITION BY PRD_SEARCH_COMPANY))) AS SO,
SC, PRD_SEARCH_ID,
PRD_SEARCH_COMPANY_ID, PRD_SEARCH_COMPANY, PRD_SEARCH_COMPANYID_ENCRYPTED,
PRD_SEARCH_PCID, PRD_SEARCH_URL, PRD_SEARCH_PC_CLNT_HOME,
PRD_SEARCH_CLNT_ENABLED, PRD_SEARCH_CODE, PRD_SEARCH_NAME,
PRD_SEARCH_DESC_SMALL, PRD_SEARCH_DESC_DETAILED, PRD_SEARCH_DESC_HTML,
PRD_SEARCH_IMG_SMALL, PRD_SEARCH_IMG_LARGE, PRD_SEARCH_WEIGHT_ITEM,
PRD_SEARCH_MODIFIEDDATE, PRD_SEARCH_SIZE, PRD_SEARCH_LABEL1,
PRD_SEARCH_LABEL1_VALUE, PRD_SEARCH_LABEL2, PRD_SEARCH_LABEL2_VALUE,
PRD_SEARCH_LABEL3, PRD_SEARCH_LABEL3_VALUE, PRD_SEARCH_LABEL4,
PRD_SEARCH_LABEL4_VALUE, PRD_SEARCH_LABEL5, PRD_SEARCH_LABEL5_VALUE,
PRD_SEARCH_LABEL6, PRD_SEARCH_LABEL6_VALUE, PRD_SEARCH_CAT_ID,
PRD_SEARCH_CAT_NAME, PRD_SEARCH_CAT_FLNAME, PRD_SEARCH_NAVIGATION_TREE,
PRD_SEARCH_NAVIGATION_TREE_ID,PRD_SEARCH_CITY, PRD_SEARCH_STATE,
PRD_SEARCH_COUNTRY, PRD_SEARCH_PRICE_SALE, PRD_SEARCH_PC_CLNT_TYPE,
PRD_SEARCH_PC_CLNT_TYPE_DESC,
PRD_SEARCH_COMPANY_PHONE, PRD_SEARCH_COMPANY_MOBILE, PRD_SEARCH_COMPANY_FAX,
PRD_SEARCH_COMPANY_EMAIL, PRD_SEARCH_GLCAT_MCAT_ID_LIST, PRD_SEARCH_GLCAT_CAT_ID_LIST,
PRD_SEARCH_GLCAT_GRP_ID_LIST, PRD_SEARCH_GL_COUNTRY_ISO, PRD_SEARCH_GLUSR_USR_ID,
PRD_SEARCH_TRUSTSEAL_CODE, PRD_SEARCH_CUSTTYPE_ID, PRD_SEARCH_CUSTTYPE_NAME,
PRD_SEARCH_CUSTTYPE_WEIGHT, PRD_SEARCH_CUSTTYPE_WEIGHT_TZ, PRD_SEARCH_CUSTTYPE_RANK,
PRD_SEARCH_PC_ITEM_HOTNEW, RK
FROM
SELECT
/*+ FIRST_ROWS (500) */ DECODE(:OPT,2,SC,(MAX(SC) OVER (PARTITION BY PRD_SEARCH_COMPANY))) AS SO,
SC,PRD_SEARCH_ID,
PRD_SEARCH_COMPANY_ID, PRD_SEARCH_COMPANY, PRD_SEARCH_COMPANYID_ENCRYPTED,
PRD_SEARCH_PCID, PRD_SEARCH_URL, PRD_SEARCH_PC_CLNT_HOME,
PRD_SEARCH_CLNT_ENABLED, PRD_SEARCH_CODE, PRD_SEARCH_NAME,
PRD_SEARCH_DESC_SMALL, PRD_SEARCH_DESC_DETAILED, PRD_SEARCH_DESC_HTML,
PRD_SEARCH_IMG_SMALL, PRD_SEARCH_IMG_LARGE, PRD_SEARCH_WEIGHT_ITEM,
PRD_SEARCH_MODIFIEDDATE, PRD_SEARCH_SIZE, PRD_SEARCH_LABEL1,
PRD_SEARCH_LABEL1_VALUE, PRD_SEARCH_LABEL2, PRD_SEARCH_LABEL2_VALUE,
PRD_SEARCH_LABEL3, PRD_SEARCH_LABEL3_VALUE, PRD_SEARCH_LABEL4,
PRD_SEARCH_LABEL4_VALUE, PRD_SEARCH_LABEL5, PRD_SEARCH_LABEL5_VALUE,
PRD_SEARCH_LABEL6, PRD_SEARCH_LABEL6_VALUE, PRD_SEARCH_CAT_ID,
PRD_SEARCH_CAT_NAME, PRD_SEARCH_CAT_FLNAME, PRD_SEARCH_NAVIGATION_TREE,
PRD_SEARCH_NAVIGATION_TREE_ID,PRD_SEARCH_CITY, PRD_SEARCH_STATE,
PRD_SEARCH_COUNTRY, PRD_SEARCH_PRICE_SALE, PRD_SEARCH_PC_CLNT_TYPE,
PRD_SEARCH_PC_CLNT_TYPE_DESC,
PRD_SEARCH_COMPANY_PHONE, PRD_SEARCH_COMPANY_MOBILE, PRD_SEARCH_COMPANY_FAX,
PRD_SEARCH_COMPANY_EMAIL, PRD_SEARCH_GLCAT_MCAT_ID_LIST, PRD_SEARCH_GLCAT_CAT_ID_LIST,
PRD_SEARCH_GLCAT_GRP_ID_LIST, PRD_SEARCH_GL_COUNTRY_ISO, PRD_SEARCH_GLUSR_USR_ID,
PRD_SEARCH_TRUSTSEAL_CODE, PRD_SEARCH_CUSTTYPE_ID, PRD_SEARCH_CUSTTYPE_NAME,
PRD_SEARCH_CUSTTYPE_WEIGHT, PRD_SEARCH_CUSTTYPE_WEIGHT_TZ, PRD_SEARCH_CUSTTYPE_RANK,
PRD_SEARCH_PC_ITEM_HOTNEW,
ROW_NUMBER() OVER (PARTITION BY PRD_SEARCH_COMPANY_ID
ORDER BY DECODE(:S_MODE,2,1,3,TO_NUMBER(TO_CHAR(PRD_SEARCH_MODIFIEDDATE,'YYYYMMDD')),1) DESC) AS RK
FROM
SELECT
DECODE(:S_MODE,2,1,3,TO_NUMBER(TO_CHAR(PRD_SEARCH_MODIFIEDDATE,'YYYYMMDD')),1) AS SC,
PRD_SEARCH_ID,
PRD_SEARCH_COMPANY_ID, PRD_SEARCH_COMPANY, PRD_SEARCH_COMPANYID_ENCRYPTED,
PRD_SEARCH_PCID, PRD_SEARCH_URL, PRD_SEARCH_PC_CLNT_HOME,
PRD_SEARCH_CLNT_ENABLED, PRD_SEARCH_CODE, PRD_SEARCH_NAME,
PRD_SEARCH_DESC_SMALL, PRD_SEARCH_DESC_DETAILED, PRD_SEARCH_DESC_HTML,
PRD_SEARCH_IMG_SMALL, PRD_SEARCH_IMG_LARGE, PRD_SEARCH_WEIGHT_ITEM,
PRD_SEARCH_MODIFIEDDATE, PRD_SEARCH_SIZE, PRD_SEARCH_LABEL1,
PRD_SEARCH_LABEL1_VALUE, PRD_SEARCH_LABEL2, PRD_SEARCH_LABEL2_VALUE,
PRD_SEARCH_LABEL3, PRD_SEARCH_LABEL3_VALUE, PRD_SEARCH_LABEL4,
PRD_SEARCH_LABEL4_VALUE, PRD_SEARCH_LABEL5, PRD_SEARCH_LABEL5_VALUE,
PRD_SEARCH_LABEL6, PRD_SEARCH_LABEL6_VALUE, PRD_SEARCH_CAT_ID,
PRD_SEARCH_CAT_NAME, PRD_SEARCH_CAT_FLNAME, PRD_SEARCH_NAVIGATION_TREE,
PRD_SEARCH_NAVIGATION_TREE_ID,PRD_SEARCH_CITY, PRD_SEARCH_STATE,
PRD_SEARCH_COUNTRY, PRD_SEARCH_PRICE_SALE, PRD_SEARCH_PC_CLNT_TYPE,
PRD_SEARCH_PC_CLNT_TYPE_DESC,
PRD_SEARCH_COMPANY_PHONE, PRD_SEARCH_COMPANY_MOBILE, PRD_SEARCH_COMPANY_FAX,
PRD_SEARCH_COMPANY_EMAIL, PRD_SEARCH_GLCAT_MCAT_ID_LIST, PRD_SEARCH_GLCAT_CAT_ID_LIST,
PRD_SEARCH_GLCAT_GRP_ID_LIST, PRD_SEARCH_GL_COUNTRY_ISO, PRD_SEARCH_GLUSR_USR_ID,
PRD_SEARCH_TRUSTSEAL_CODE, PRD_SEARCH_CUSTTYPE_ID, PRD_SEARCH_CUSTTYPE_NAME,
PRD_SEARCH_CUSTTYPE_WEIGHT, PRD_SEARCH_CUSTTYPE_WEIGHT_TZ, PRD_SEARCH_CUSTTYPE_RANK,
PRD_SEARCH_PC_ITEM_HOTNEW,
ROW_NUMBER() OVER (PARTITION BY P.PRD_SEARCH_ID ORDER BY P.PRD_SEARCH_ID) RK1
FROM
GLCAT_GRP_TO_CAT G2C, GLCAT_CAT_TO_MCAT C2M, PC_ITEM_TO_GLCAT_MCAT M, PRD_SEARCH P
WHERE
G2C.FK_GLCAT_CAT_ID = C2M.FK_GLCAT_CAT_ID
AND C2M.FK_GLCAT_MCAT_ID = M.FK_GLCAT_MCAT_ID
AND M.FK_PC_ITEM_ID = P.PRD_SEARCH_ID
AND DECODE(:MCAT_ID_STR, NULL, 1, INSTR(','||:MCAT_ID_STR||',',','||M.FK_GLCAT_MCAT_ID||',',1))> 0
AND DECODE(:CAT_ID_STR, NULL, 1, INSTR(','||:CAT_ID_STR||',',','||C2M.FK_GLCAT_CAT_ID||',',1)) > 0
AND DECODE(:GRP_ID_STR, NULL, 1, INSTR(','||:GRP_ID_STR||',',','||G2C.FK_GLCAT_GRP_ID||',',1)) > 0
AND DECODE(:ITEM_ID_STR,NULL,1,INSTR(','||:ITEM_ID_STR||',' , ','||P.PRD_SEARCH_ID||',')) > 0
AND DECODE(:COUNTRY_ISO,NULL,1,INSTR(','||:COUNTRY_ISO||',', ','||P.PRD_SEARCH_GL_COUNTRY_ISO||',')) > 0
AND DECODE(NVL(:COMPANY_ID,0),0,1,P.PRD_SEARCH_COMPANY_ID) = DECODE(NVL(:COMPANY_ID,0),0,1,:COMPANY_ID)
AND DECODE(NVL(:GLUSR_ID,0),0,1,P.PRD_SEARCH_GLUSR_USR_ID) = DECODE(NVL(:GLUSR_ID,0),0,1,:GLUSR_ID)
AND P.PRD_SEARCH_CLNT_ENABLED >= NVL(:LIST_TYPE,0)
AND NVL(LENGTH(P.PRD_SEARCH_TRUSTSEAL_CODE),0) >= :TSONLY
WHERE RK1=1
ORDER BY SC DESC, PRD_SEARCH_CUSTTYPE_WEIGHT ASC, DBMS_RANDOM.RANDOM
) A
WHERE A.RK <= :MY_PRD_PER_COMP
AND ROWNUM <= :MYMAXREC
ORDER BY A.SO DESC, DECODE(:OPT,2,'1', A.PRD_SEARCH_COMPANY), A.RK ASC, DBMS_RANDOM.RANDOMRegards
Madhup -
I'm a Mac user. I wanna know what is the base directory for the "chrome://" url. I wanna also know where i can find the file "chrome://browser/content/browser.xul" in my computer. Thank you
Use your browser to open this page "chrome://browser/content/browser.xul"
Right click and click "View Page Source" you will find that this xul file should be in Firefox.app/Contents/MacOS/omni.jar -
What is the "Base Score" of Satellite P200-140
Can anyone please tell me what is the Base Score (WEI) for the P200-140?
Hi
Do you mean the Vista Base Score???
As far as I know the Base Score index supports an index from 1 to 6 (6 best)
This index provides a info about the computer performance and how fast the unit is.
The problem is that the P100 series was delivered with different hardware specifications and therefore the base score can be different.
Every hardware part like GPU, CPU, RAM, HDD affects the base score results -
Not Understanding the filter in Explain Plan - filter(NULL IS NOT NULL)
Hi All,
Request your help in understanding the below scenario. (I am not aware of teh application and table details. Just trying to help my friend)
SQL> conn
Enter user-name: [email protected]
Enter password:
Connected.
SQL> select * from v$version;
BANNER
Oracle Database 10g Enterprise Edition Release 10.2.0.3.0 - 64bi
PL/SQL Release 10.2.0.3.0 - Production
CORE 10.2.0.3.0 Production
TNS for Linux: Version 10.2.0.3.0 - Production
NLSRTL Version 10.2.0.3.0 - Production
--Checking the count in PO_LINES
SQL> select count(*) from po_lines;
COUNT(*)
0
--PO_LINES is a synonym
SQL> select object_type,owner from dba_objects where object_name = 'PO_LINES';
OBJECT_TYPE OWNER
SYNONYM APPS
--The synonym is pointing to PO.PO_LINES_ALL
SQL> select * from user_synonyms where synonym_name = 'PO_LINES';
SYNONYM_NAME TABLE_OWNER TABLE_NAME DB_LINK
PO_LINES PO PO_LINES_ALL
--But when counting PO.PO_LINES_ALL I am getting different result
SQL> select count(*) c from po.po_lines_all;
C
8828
--Explain plan of teh original query is
SQL> explain plan for
2 select
3 * from po_lines;
Explained.
SQL> select * from table(dbms_xplan.display);
PLAN_TABLE_OUTPUT
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)|
| 0 | SELECT STATEMENT | | 1 | 252 | 0 (0)|
|* 1 | FILTER | | | | |
| 2 | TABLE ACCESS FULL| PO_LINES_ALL | 8796 | 2164K| 106 (4)|
Predicate Information (identified by operation id):
1 - filter(NULL IS NOT NULL)
--Now the object PO.PO_LINES_ALL is TABLE, not an mview.
SQL> select object_type,owner from dba_objects where object_name = 'PO_LINES_ALL';
OBJECT_TYPE OWNER
TABLE POSeek your help in understanding what is happening here.
Thanks in Advance,
jeneeshNext time, prefix with APPS. when you show us the explain plan:
SQL> explain plan for
2 select
3 * from apps.po_lines; -- added the prefix of owner.Just like you prefixed with PO. when you showed us the query on PO_LINES_ALL. It ensures that you are using the synonym which you showed us.
Btw. PO_LINES_ALL, could still be a VIEW given your overview of the situation.
Anyway a filter "NULL IS NOT NULL" is indicative that the optimizer performed something called semantic query optimization (SQO).
SQO is the process of deducing new predicates based upon a) existing predicates in your query (which there is none), b) added predicates to your query (eg. by a VPD policy function), and c) declared constraints on the tables invovled in your query.
A typical example of when a "NOT is NOT NULL" predicate will show up is when for instance in the EMP table there is a declared constraint on EMPNO like this:
check(EMPNO > 0)And your query would hold a predicate that is inconsistent with the constraint, for instance like this:
select *
from EMP
where EMPNO <= 0Oracle will deduce that EMPNO cannot be both greater than zero (constraint) as well as smaller than or equal to zero (your query predicate), and will transform the query into:
select *
from EMP
where EMPNO <= 0
and NULL is NOT NULLThus preventing accessing the EMP table all together, and immediately returning this query with no data found.
Edited by: Toon Koppelaars on Mar 15, 2010 7:17 AM -
WHAT IS THE DIFFRENCE BET WENN PLANNED DEPRECIATION AND UNPLANNED DEPRECIAT
WHAT IS THE DIFFERENCE BETWEEN PLANNED DEPRECIATION AND UNPLANNED DEPRECIATION
Hi
Usually depreciatio is planned for all the assets from the date of purchase of the asset based on cost of asset, useful life of asset, scrap value , etc.
In Planned depreciation we depreciate the asset as per our planned figures for the entire life of the asset
where as in unplanned depreciation, depreciation is not as per our planned figures, it may vary due to fire, theft, partial damage, etc.
Here not only the depreciation amount but also the useful life of the asset will be effected.
Assign points if useful -
Billing in the basis of billing plan for multiple schedule lines
Hi All,
I have one scenario in which we have created milestoen billing via project systems in sales order. Now Suppose I have three line items in my sales order and against each line items we have maintained multiple schedule lines. ex. 10%, 40%,50% respectively. Similarly for other line items also we have maintained the same. Now I need to generate invoice on the basis of schedule lines(billing plan). for ex. single Invoice covers 2 schedule lines out of total schedule lines in the line item. Similarly for other line items.
Kindly guide.
Thanks.Hi
Your milestone billing plan integrates with PS means that you have an order related billing.
Hence schedule line is a confusing word and I assume it as a billing plan.
Each milestone-related billing date is blocked for processing until the Project System confirms that the milestone is completed. The billing block will automatically be removed once the milestone is achieved.
Do maintain copy controls properly at item category level (VTFA) and your billing should happen standard SAP way.
If still you face any errors, please post the screenshots.
Thanks
Atul -
What is the benefit of Transportation planning point ?
Hi Gurus,
Need help , i know that Tppt is org. unit , but what is the benefit of Tppt for transportation module?
and what function tppt have ?
Rudy.Hi,
functions of Transport planning point
1.carry out transportation planning and shipment completion
2.shipment cost calculation and transfer to accounting department
3.all document related to shipment are processed in TPP
regards -
What's the basis for the caloric computation?
I'm curious what Nike/Mac used for the basis of their computation of calories used while running. Most studies show that runners burn approximately 100 kCal per mile, independent of pace. As the pace increases, runners continue to burn the same amount of calories. Efficiency is gained by being able to run faster at the same caloric level of use. That said, for a run of slightly more than 9 miles yesterday, my iPod Sport Kit showed that I burned a bit more than 1300 kCal, hardly the slightly more than 900 kCal that I'd expect.
Anyone know the answer to where the basis for this computation comes into play?
thanks,
Jason
MacBook Mac OS X (10.3.1)Very simple, export them as VCARDS then drag them into Address Book. Assuming your PC's mail program can export more than one at a time the whole process should take less than 10 minutes. We aren't PC people here so you need to look into the mail program you're using on it and look for the Export command. Almost surely it can export to VCARD. Once you have the VCARDS, open Address Book and drag them onto the Address Book and you're done.
-
What does the apple care protection plan cover?
i just purchased the apple care protection plan.. . what does it cover??
Free phone support from Apple, two years of coverage from manufacturing defects, and two accidental damage incidents.
(97175) -
In 10g ( 10.1.4.3)OID, what are the base tables
Hi ,I need to clean the users and groups from the OID manually ( i have deleted them using bulkload but oid tree is inconsistent stage)
so now i have to clean them from the base tables,
anyone faced this situation before, appreciate your help.Check the ORACLE_HOME/ldap/log directory and the contents of oidmon.log and oidldapd01.log
I found a similar error after the 10.1.4.3 upgrade and needed to rerun the root.sh script.
It is helpful to shut everything down, cleanout the log files and file up OPMN (start) and the OID (using startproc).
Good luck! -
What's the base latin character font used in Khmer MN font?
I accidentally changed English text to the Khmer MN font. I liked the way the text looked, but I know it's not an English font. What is the actual (or similar) font used for the Latin alphabet characters? It's especially necessary because I want to type an "é."
Groovysoul wrote:
Khmer MN is a font that comes with Lion, so I'd assume Apple would be the maker
You can see who makes a font by doing Preview > Show Font Info in Fontbook. Very, very few of the fonts in OS X are made by Apple.
It should work OK in a PDF as long as the font is really embedded. I think Adobe Reader can tell you what is embedded if you open it with that.
Maybe you are looking for
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