Complex Group by Query with Example
Hi all,
I am re-posting with a better example. Pls someone help me to solve
this below query.
Below table have 15 rows
FACILITY_TYPE CONTACT_TYPE1 POI
Auto Service and Maintainance Email 53
Auto Service and Maintainance Email 53
Auto Service and Maintainance Email 44
Auto Service and Maintainance Mobile 44
Auto Service and Maintainance Mobile 53
Auto Service and Maintainance Mobile 53
Auto Service and Maintainance Phone 53
Auto Service and Maintainance Phone 44
Auto Service and Maintainance URL 44
Clothing Store URL 51
Clothing Store URL 51
Golf Course Phone 40
Golf Course Phone 40
Golf Course Phone 40
Golf Course URL 40
15 rows selectedThe output should be like below
FACILITY_TYPE CONTACT_TYPE COUNT_GP_POI COUNT_PER_POI
Auto Service and Maintainance Phone 2 1
Auto Service and Maintainance URL 1 1
Auto Service and Maintainance Email 1 1
Auto Service and Maintainance Email 1 2
Auto Service and Maintainance Mobile 1 1
Auto Service and Maintainance Mobile 1 2
Total Auto Service n Maint POI 2
Clothing Store URL 1 2
Total Clothing Store POI 1
Golf Course Phone 1 3
Golf Course URL 1 1
Total Golf Course POI 1
12 rows selectedExplanation is as
COUNT_GP_POI = COUNT of (group by FACILITY_TYPE + POI)
COUNT_PER_POI = COUNT of (group by FACILITY_TYPE + CONTACT_TYPE)
Thanks in Advance
Saaz
Posting the same thing twice is not a good idea. Please stay in this thread: complex group by query
Similar Messages
-
Need help with group by query with condition
Name
ID
A1
1
A2
1
A3
1
A1
1
A2
2
A2
3
A3
3
A1
4
A2
4
A3
5
I want to get result of total count where ID is less than 4
A1 - 2
A2 - 3
A3 - 2Hi,
If you want to get 0 counts for names that don't have any low ids, then use a CASE expression instead of a WHERE clause.
You didn't post CREATE TABLE and INSERT statements for your sample data, so I'll use scott.emp to illustrate.
Say you want to see how many sals in each job are under 3000, like this:
JOB UNDER_3_CNT
CLERK 4
SALESMAN 4
PRESIDENT 0
MANAGER 3
ANALYST 0
Here's one way to do that:
SELECT job
, COUNT (CASE WHEN sal < 3000 THEN 1 END) AS under_3_cnt
FROM scott.emp
GROUP BY job
This shows that there are ANALYSTs and PRESIDENTs in the scott.emp table; there just don't happen to be any with sals under 3000. -
Hi,
Pls someone help me to solve the below query
SQL> SELECT FACILITY_TYPE, CONTACT_TYPE, POI FROM POI ORDER BY FACILITY_TYPE, CONTACT_TYPE; FACILITY_TYPE CONTACT_TYPE POI------------------------------ ------------ ----------Auto Service and Maintainance 1 53Auto Service and Maintainance 1 44Auto Service and Maintainance 3 44Auto Service and Maintainance 4 53Auto Service and Maintainance 4 53Auto Service and Maintainance 4 44Auto Service and Maintainance 5 44Auto Service and Maintainance 5 53Auto Service and Maintainance 5 53Clothing Store 3 51Clothing Store 3 51Golf Course 1 40Golf Course 1 40Golf Course 1 40Golf Course 3 40 15 rows selected
The output shold look like
FACILITY_TYPE CONTACT_TYPE COUNT_GP_POI COUNT_PER_POI------------------------------ -------------------- ------------ -------------Auto Service and Maintainance 1 2 1Auto Service and Maintainance 4 1 1Auto Service and Maintainance 3 1 1Auto Service and Maintainance 3 1 2Auto Service and Maintainance 5 1 1Auto Service and Maintainance 5 1 2Clothing Store 3 1 2Golf Course 5 1 3Golf Course 3 1 1Total Auto Service n Maint POI 2 Total Clothing Store POI 1 Total Golf Course POI 1 12 rows selected
Thanks in Advance
SaazHi,
Pls someone help me to solve the below query
SQL> SELECT FACILITY_TYPE, CONTACT_TYPE, POI FROM POI ORDER BY FACILITY_TYPE, CONTACT_TYPE;
FACILITY_TYPE CONTACT_TYPE POI
Auto Service and Maintainance 1 53
Auto Service and Maintainance 1 44
Auto Service and Maintainance 3 44
Auto Service and Maintainance 4 53
Auto Service and Maintainance 4 53
Auto Service and Maintainance 4 44
Auto Service and Maintainance 5 44
Auto Service and Maintainance 5 53
Auto Service and Maintainance 5 53
Clothing Store 3 51
Clothing Store 3 51
Golf Course 1 40
Golf Course 1 40
Golf Course 1 40
Golf Course 3 40
15 rows selected
The output shold look like
FACILITY_TYPE CONTACT_TYPE COUNT_GP_POI COUNT_PER_POI
Auto Service and Maintainance 1 2 1
Auto Service and Maintainance 4 1 1
Auto Service and Maintainance 3 1 1
Auto Service and Maintainance 3 1 2
Auto Service and Maintainance 5 1 1
Auto Service and Maintainance 5 1 2
Clothing Store 3 1 2
Golf Course 5 1 3
Golf Course 3 1 1
Total Auto Service n Maint POI 2
Total Clothing Store POI 1
Total Golf Course POI 1
12 rows selectedThanks in Advance
Saaz -
Query By Example with view object - how?
Hi all,
I have a named query "select new model.vo.PatientVO(o) from Patient o", how to write this using Query By Example?
Entity Patient has complex structure, so PavientVO (we call it "view object", I don't know the official term for this), which is very simplified Patient, is used for displaying the basic data.
I guess I would still use Patient as example object, but how to tell the query framework to return PatientVOs?
Thanks,
PedjaYou would need to use a ReportQuery with the example object, and add a constructor item to the ReportQuery.
You could also just use a regular ReadAllQuery and wrap the Patient objects with your PatientVO after.
James : http://www.eclipselink.org -
Need help in optimizing the query with joins and group by clause
I am having problem in executing the query below.. it is taking lot of time. To simplify, I have added the two tables FILE_STATUS = stores the file load details and COMM table that is actual business commission table showing records successfully processed and which records were transmitted to other system. Records with status = T is trasnmitted to other system and traansactions with P is pending.
CREATE TABLE FILE_STATUS
(FILE_ID VARCHAR2(14),
FILE_NAME VARCHAR2(20),
CARR_CD VARCHAR2(5),
TOT_REC NUMBER,
TOT_SUCC NUMBER);
CREATE TABLE COMM
(SRC_FILE_ID VARCHAR2(14),
REC_ID NUMBER,
STATUS CHAR(1));
INSERT INTO FILE_STATUS VALUES ('12345678', 'CM_LIBM.TXT', 'LIBM', 5, 4);
INSERT INTO FILE_STATUS VALUES ('12345679', 'CM_HIPNT.TXT', 'HIPNT', 4, 0);
INSERT INTO COMM VALUES ('12345678', 1, 'T');
INSERT INTO COMM VALUES ('12345678', 3, 'T');
INSERT INTO COMM VALUES ('12345678', 4, 'P');
INSERT INTO COMM VALUES ('12345678', 5, 'P');
COMMIT;Here is the query that I wrote to give me the details of the file that has been loaded into the system. It reads the file status and commission table to show file name, total records loaded, total records successfully loaded to the commission table and number of records that has been finally transmitted (status=T) to other systems.
SELECT
FS.CARR_CD
,FS.FILE_NAME
,FS.FILE_ID
,FS.TOT_REC
,FS.TOT_SUCC
,NVL(C.TOT_TRANS, 0) TOT_TRANS
FROM FILE_STATUS FS
LEFT JOIN
SELECT SRC_FILE_ID, COUNT(*) TOT_TRANS
FROM COMM
WHERE STATUS = 'T'
GROUP BY SRC_FILE_ID
) C ON C.SRC_FILE_ID = FS.FILE_ID
WHERE FILE_ID = '12345678';In production this query has more joins and is taking lot of time to process.. the main culprit for me is the join on COMM table to get the count of number of transactions transmitted. Please can you give me tips to optimize this query to get results faster? Do I need to remove group and use partition or something else. Please help!I get 2 rows if I use my query with your new criteria. Did you commit the record if you are using a second connection to query? Did you remove the criteria for file_id?
select carr_cd, file_name, file_id, tot_rec, tot_succ, tot_trans
from (select fs.carr_cd,
fs.file_name,
fs.file_id,
fs.tot_rec,
fs.tot_succ,
count(case
when c.status = 'T' then
1
else
null
end) over(partition by c.src_file_id) tot_trans,
row_number() over(partition by c.src_file_id order by null) rn
from file_status fs
left join comm c
on c.src_file_id = fs.file_id
where carr_cd = 'LIBM')
where rn = 1;
CARR_CD FILE_NAME FILE_ID TOT_REC TOT_SUCC TOT_TRANS
LIBM CM_LIBM.TXT 12345678 5 4 2
LIBM CM_LIBM.TXT 12345677 10 0 0Using RANK can potentially produce multiple rows to be returned though your data may prevent this. ROW_NUMBER will always prevent duplicates. The ordering of the analytical function is irrelevant in your query if you use ROW_NUMBER. You can remove the outermost query and inspect the data returned by the inner query;
select fs.carr_cd,
fs.file_name,
fs.file_id,
fs.tot_rec,
fs.tot_succ,
count(case
when c.status = 'T' then
1
else
null
end) over(partition by c.src_file_id) tot_trans,
row_number() over(partition by c.src_file_id order by null) rn
from file_status fs
left join comm c
on c.src_file_id = fs.file_id
where carr_cd = 'LIBM';
CARR_CD FILE_NAME FILE_ID TOT_REC TOT_SUCC TOT_TRANS RN
LIBM CM_LIBM.TXT 12345678 5 4 2 1
LIBM CM_LIBM.TXT 12345678 5 4 2 2
LIBM CM_LIBM.TXT 12345678 5 4 2 3
LIBM CM_LIBM.TXT 12345678 5 4 2 4
LIBM CM_LIBM.TXT 12345677 10 0 0 1 -
Need complex query with joins and AGGREGATE functions.
Hello Everyone ;
Good Morning to all ;
I have 3 tables with 2 lakhs record. I need to check query performance.. How CBO rewrites my query in materialized view ?
I want to make complex join with AGGREGATE FUNCTION.
my table details
SQL> select from tab;*
TNAME TABTYPE CLUSTERID
DEPT TABLE
PAYROLL TABLE
EMP TABLE
SQL> desc emp
Name
EID
ENAME
EDOB
EGENDER
EQUAL
EGRADUATION
EDESIGNATION
ELEVEL
EDOMAIN_ID
EMOB_NO
SQL> desc dept
Name
EID
DNAME
DMANAGER
DCONTACT_NO
DPROJ_NAME
SQL> desc payroll
Name
EID
PF_NO
SAL_ACC_NO
SALARY
BONUS
I want to make complex query with joins and AGGREGATE functions.
Dept names are : IT , ITES , Accounts , Mgmt , Hr
GRADUATIONS are : Engineering , Arts , Accounts , business_applications
I want to select records who are working in IT and ITES and graduation should be "Engineering"
salary > 20000 and < = 22800 and bonus > 1000 and <= 1999 with count for males and females Separately ;
Please help me to make a such complex query with joins ..
Thanks in advance ..
Edited by: 969352 on May 25, 2013 11:34 AM969352 wrote:
why do you avoid providing requested & NEEDED details?I do NOT understand what do you expect ?
My Goal is :
1. When executing my own query i need to check expalin plan.please proceed to do so
http://docs.oracle.com/cd/E11882_01/server.112/e26088/statements_9010.htm#SQLRF01601
2. IF i enable query rewrite option .. i want to check explain plan ( how optimizer rewrites my query ) ? please proceed to do so
http://docs.oracle.com/cd/E11882_01/server.112/e16638/ex_plan.htm#PFGRF009
3. My only aim is QUERY PERFORMANCE with QUERY REWRITE clause in materialized view.It is an admirable goal.
Best Wishes on your quest for performance improvements. -
Need help with SQL Query with Inline View + Group by
Hello Gurus,
I would really appreciate your time and effort regarding this query. I have the following data set.
Reference_No---Check_Number---Check_Date--------Description-------------------------------Invoice_Number----------Invoice_Type---Paid_Amount-----Vendor_Number
1234567----------11223-------------- 7/5/2008----------paid for cleaning----------------------44345563------------------I-----------------*20.00*-------------19
1234567----------11223--------------7/5/2008-----------Adjustment for bad quality---------44345563------------------A-----------------10.00------------19
7654321----------11223--------------7/5/2008-----------Adjustment from last billing cycle-----23543556-------------------A--------------------50.00--------------19
4653456----------11223--------------7/5/2008-----------paid for cleaning------------------------35654765--------------------I---------------------30.00-------------19
Please Ignore '----', added it for clarity
I am trying to write a query to aggregate paid_amount based on Reference_No, Check_Number, Payment_Date, Invoice_Number, Invoice_Type, Vendor_Number and display description with Invoice_type 'I' when there are multiple records with the same Reference_No, Check_Number, Payment_Date, Invoice_Number, Invoice_Type, Vendor_Number. When there are no multiple records I want to display the respective Description.
The query should return the following data set
Reference_No---Check_Number---Check_Date--------Description-------------------------------Invoice_Number----------Invoice_Type---Paid_Amount-----Vendor_Number
1234567----------11223-------------- 7/5/2008----------paid for cleaning----------------------44345563------------------I-----------------*10.00*------------19
7654321----------11223--------------7/5/2008-----------Adjustment from last billing cycle-----23543556-------------------A--------------------50.00--------------19
4653456----------11223--------------7/5/2008-----------paid for cleaning------------------------35654765-------------------I---------------------30.00--------------19
The following is my query. I am kind of lost.
select B.Description, A.sequence_id,A.check_date, A.check_number, A.invoice_number, A.amount, A.vendor_number
from (
select sequence_id,check_date, check_number, invoice_number, sum(paid_amount) amount, vendor_number
from INVOICE
group by sequence_id,check_date, check_number, invoice_number, vendor_number
) A, INVOICE B
where A.sequence_id = B.sequence_id
Thanks,
NickIt looks like it is a duplicate thread - correct me if i'm wrong in this case ->
Need help with SQL Query with Inline View + Group by
Regards.
Satyaki De. -
Alert is not working with a group by query
Hello,
I have a group by query. Using that query have created an alarm, but the alarm is not working, though if I execute manually the query, the query is returning records.
I have update the alarm and set another query which has no group by clause. This way the alarm works.
So, my question is the following, do you know if this behaviour is because some SAPs limitation, that is, that alarms with queries containing the group by clause cant work?
Thank you very much for your help!Hi Adrian,
Actually, the query I have post was a simplification of the real one.
The real one is the following, and there I think it is not possible to rewrite it without the group by>
SELECT T1.ItemCode , SUM(T1.OpenQty) , SUM(T2.OnHand) , SUM(T1.OpenQty)- SUM(T2.OnHand)
FROM RDR1 T1 inner JOIN OITW T2 on T1.ItemCode = T2.ItemCode
WHERE T2.WhsCode = '01'
GROUP BY T1.ItemCode
HAVING SUM(T1.OpenQty)- SUM(T2.OnHand) > 0
Anyway, thank you very much for your idea. -
Ora-03114 running a query with group by
Hi, I've a query with a group by on a sub-query, something like
SELECT <40+ fields>
FROM (SELECT <40+ fields>
FROM table
GROUP BY <40+ fields> I don't have any problem running this query directly via toad. This query is a cursor in a procedure in a package and, if I invoke it on the same data, the session crash "with ora-03114 not connected to oracle". If I modify the query selecting less fields, 22, I don't have any problem while with 23 the crash appears.
Furthermore, I don't have any problem in other databases with similar data.
The db version is 9.2.0.6.0 - 64bit
Any idea/advice?
Edited by: 912104 on 3-feb-2012 2.02
Edited by: 912104 on 3-feb-2012 2.03
Edited by: 912104 on 3-feb-2012 2.03912104 wrote:
I have difficult to have more information, I can only add:
select * from v$version
BANNER
Oracle9i Enterprise Edition Release 9.2.0.6.0 - 64bit Production
PL/SQL Release 9.2.0.6.0 - Production
CORE 9.2.0.6.0 ; Production
TNS for IBM/AIX RISC System/6000: Version 9.2.0.6.0 - Production
NLSRTL Version 9.2.0.6.0 - Production Can I ask what do you think about the different behavior via toad and via package? I mean, it's possible that is a server bug?
Edited by: 912104 on 3-feb-2012 4.02Are you retrieving the entire result set via toad? or just the first few records?
Are there any TOAD non-fetched column values in your result set, i.e. CLOBS, XMLTypes, nested types?
What does your code do with the cursor? Presumably you don't loop through it and do nothing. Are you sure it's the select that's causing the error, or something you are doing with the data in the procedure?
Can you not adding some instrumentation to your code so that you know exactly what line/data values are processed at the time of the crash? Does it always crash on the same values/line or does it vary?
"Furthermore, I don't have any problem in other databases with similar data." ... what do you mean by "similar data". You only need one odd value in one column to cause you a 3114 in the right circumstances. It seems like you are long way off establishing what exactly the problem is. It's always useful not to close doors to lines of thought. You need to systematically track down the root cause of the issue by exclusion and assumptions are the enemy of that process. -
Rewrite the query with out joins and group by
Hi,
This was an interview question.
Table Names: bookshelf_checkout
bookshelf
And the join condition between these two tables is title
We need to rewrite below query without using join condition and group by clause ?
SELECT b.title,max(bc.returned_date - bc.checkout_date) "Most Days Out"
FROM bookshelf_checkout bc,bookshelf b
WHERE bc.title(+)=b.title
GROUP BY b.title;When I was in college, I read that most of the SELECT statements can be replaced by basic SQL operations (SET OPERATORS). Now I am trying to rewrite the query with SET operators but not able to get the exact result.
Kindly help me on this.
Thanks,
SuriSomething like this?
1 WITH books AS (
2 SELECT 'title 1' title FROM dual UNION ALL
3 SELECT 'title 2' FROM dual UNION ALL
4 SELECT 'title 3' FROM dual ),
5 bookshelf AS (
6 SELECT 'title 1' title, DATE '2012-05-01' checkout_date, DATE '2012-05-15' returned_date FROM dual UNION ALL
7 SELECT 'title 1' title, DATE '2012-05-16' checkout_date, DATE '2012-05-20' returned_date FROM dual UNION ALL
8 SELECT 'title 2' title, DATE '2012-04-01' checkout_date, DATE '2012-05-15' returned_date FROM dual )
9 SELECT bs.title, MAX(bs.returned_date - bs.checkout_date) OVER (PARTITION BY title) FROM bookshelf bs
10 UNION
11 (SELECT b.title, NULL FROM books b
12 MINUS
13* SELECT bs.title, NULL FROM bookshelf bs)
SQL> /
TITLE MAX(BS.RETURNED_DATE-BS.CHECKOUT_DATE)OVER(PARTITIONBYTITLE)
title 1 14
title 2 44
title 3Lukasz -
"median count" in a single group by query
Hallo following problem:
i use a single group by query to analyze a data table.
like "select avg(parameter1), sum(parameter2), count(case when...end) from datatable where ....".
Following problem: I want a median of a count without rewriting the query completely, accessing the table several times or something.
Easy example - in Detail:
Create table and fill with example data
Connected to:
Oracle Database 10g Enterprise Edition Release 10.2.0.4.0 - 64bit Production
With the Partitioning, OLAP, Data Mining and Real Application Testing options
SQL> CREATE TABLE datatable
2 (
3 SLOT NUMBER
4 , DATA NUMBER
5 );
Table created.
SQL> INSERT INTO datatable VALUES (1,1);
1 row created.
SQL> INSERT INTO datatable VALUES (1,2);
1 row created.
SQL> INSERT INTO datatable VALUES (1,3);
1 row created.
SQL> INSERT INTO datatable VALUES (1,4);
1 row created.
SQL> INSERT INTO datatable VALUES (1,5);
1 row created.
SQL> INSERT INTO datatable VALUES (2,1);
1 row created.
SQL> INSERT INTO datatable VALUES (3,1);
1 row created.
SQL> INSERT INTO datatable VALUES (3,2);
1 row created.
SQL> INSERT INTO datatable VALUES (3,3);
1 row created.
SQL> INSERT INTO datatable VALUES (3,4);
1 row created.
SQL> INSERT INTO datatable VALUES (3,5);
1 row created.
SQL> INSERT INTO datatable VALUES (4,1);
1 row created.
SQL> INSERT INTO datatable VALUES (4,2);
1 row created.
SQL> INSERT INTO datatable VALUES (4,3);
1 row created.
SQL> INSERT INTO datatable VALUES (4,4);
1 row created.
SQL> INSERT INTO datatable VALUES (4,5);
1 row created.
SQL> INSERT INTO datatable VALUES (5,1);
1 row created.
SQL> INSERT INTO datatable VALUES (5,2);
1 row created.
SQL> INSERT INTO datatable VALUES (5,3);
1 row created.
SQL> INSERT INTO datatable VALUES (5,4);
1 row created.
SQL> INSERT INTO datatable VALUES (5,5);
1 row created.In the table there are several items (here slots) with a for each slot unique data-value.
I want to have the median count of data values, to filter out slots with more or less values.
this worked, until there where only slots with less data:
SQL> SELECT FLOOR(COUNT(DISTINCT SLOT||DATA)/COUNT(DISTINCT DATA)) FROM datatabl
e;
FLOOR(COUNT(DISTINCTSLOT||DATA)/COUNT(DISTINCTDATA))
4but when there is a slot having more data - it won't work, the very simple and stupid calculation will give a too little value
SQL>
SQL> INSERT INTO datatable VALUES (4,6);
1 row created.
SQL>
SQL> SELECT FLOOR(COUNT(DISTINCT SLOT||DATA)/COUNT(DISTINCT DATA)) FROM datatabl
e;
FLOOR(COUNT(DISTINCTSLOT||DATA)/COUNT(DISTINCTDATA))
3so what i would need is this:
SQL>
SQL> SELECT MEDIAN(count(DISTINCT SLOT) over (partition by DATA)) FROM datatable
SELECT MEDIAN(count(DISTINCT SLOT) over (partition by DATA)) FROM datatable
ERROR at line 1:
ORA-30483: window functions are not allowed hereIn detail:
the count delivers the distinct count of slots for each data (possible duplicated entrys should not be counted)
And I want the median, which should be 4.
SQL> SELECT count(DISTINCT SLOT) over (partition by DATA) FROM datatable;
COUNT(DISTINCTSLOT)OVER(PARTITIONBYDATA)
5
5
5
5
5
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
COUNT(DISTINCTSLOT)OVER(PARTITIONBYDATA)
1
22 rows selected.Is it -anyhow- possible to do this without rebuilding the whole query?
Thanks a lotok, an example:
CREATE TABLE "DATATABLE"
( "TOOL" CHAR(5 BYTE),
"SLOT" NUMBER,
"LOTID" CHAR(4 BYTE),
"STEP" VARCHAR2(44 BYTE),
"ENDTIME" DATE,
"PARAMETER1" NUMBER,
"PARAMETER6" NUMBER
Insert into DATATABLE values ('TOOL1',-1,'LOT1','STEP1',to_timestamp('02-FEB-12 03.09.42 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',-1,'LOT1','STEP2',to_timestamp('02-FEB-12 03.18.47 PM','DD-MON-RR HH.MI.SS AM'),42,0);
Insert into DATATABLE values ('TOOL1',-1,'LOT1','STEP3',to_timestamp('02-FEB-12 03.09.44 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',-1,'LOT1','STEP4',to_timestamp('02-FEB-12 02.20.38 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',-1,'LOT1','STEP5',to_timestamp('02-FEB-12 02.20.35 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',1,'LOT1','STEP1',to_timestamp('02-FEB-12 01.51.28 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',1,'LOT1','STEP2',to_timestamp('02-FEB-12 01.52.40 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',1,'LOT1','STEP3',to_timestamp('02-FEB-12 01.54.20 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',1,'LOT1','STEP4',to_timestamp('02-FEB-12 01.55.32 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',1,'LOT1','STEP5',to_timestamp('02-FEB-12 01.56.36 PM','DD-MON-RR HH.MI.SS AM'),18,0);
Insert into DATATABLE values ('TOOL1',2,'LOT1','STEP1',to_timestamp('02-FEB-12 01.52.41 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',3,'LOT1','STEP1',to_timestamp('02-FEB-12 02.00.29 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',3,'LOT1','STEP2',to_timestamp('02-FEB-12 02.01.43 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',3,'LOT1','STEP3',to_timestamp('02-FEB-12 02.03.23 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',3,'LOT1','STEP4',to_timestamp('02-FEB-12 02.04.34 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',3,'LOT1','STEP5',to_timestamp('02-FEB-12 02.05.40 PM','DD-MON-RR HH.MI.SS AM'),19,0);
Insert into DATATABLE values ('TOOL1',4,'LOT1','STEP1',to_timestamp('02-FEB-12 02.02.11 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',4,'LOT1','STEP2',to_timestamp('02-FEB-12 02.03.26 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',4,'LOT1','STEP3',to_timestamp('02-FEB-12 02.05.07 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',4,'LOT1','STEP4',to_timestamp('02-FEB-12 02.06.19 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',4,'LOT1','STEP5',to_timestamp('02-FEB-12 02.07.27 PM','DD-MON-RR HH.MI.SS AM'),20,0);
Insert into DATATABLE values ('TOOL1',5,'LOT1','STEP1',to_timestamp('02-FEB-12 02.03.54 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',5,'LOT1','STEP2',to_timestamp('02-FEB-12 02.05.08 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',5,'LOT1','STEP3',to_timestamp('02-FEB-12 02.06.49 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',5,'LOT1','STEP4',to_timestamp('02-FEB-12 02.08.01 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',5,'LOT1','STEP5',to_timestamp('02-FEB-12 02.14.26 PM','DD-MON-RR HH.MI.SS AM'),18,0);
Insert into DATATABLE values ('TOOL1',6,'LOT1','STEP1',to_timestamp('02-FEB-12 02.05.35 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',6,'LOT1','STEP2',to_timestamp('02-FEB-12 02.06.50 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',6,'LOT1','STEP3',to_timestamp('02-FEB-12 02.15.14 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',6,'LOT1','STEP4',to_timestamp('02-FEB-12 02.16.26 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',6,'LOT1','STEP5',to_timestamp('02-FEB-12 02.17.31 PM','DD-MON-RR HH.MI.SS AM'),19,0);
Insert into DATATABLE values ('TOOL1',7,'LOT1','STEP1',to_timestamp('02-FEB-12 02.06.42 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',8,'LOT1','STEP1',to_timestamp('02-FEB-12 02.14.14 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',8,'LOT1','STEP2',to_timestamp('02-FEB-12 02.15.29 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',8,'LOT1','STEP3',to_timestamp('02-FEB-12 02.17.09 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',8,'LOT1','STEP4',to_timestamp('02-FEB-12 02.18.22 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',8,'LOT1','STEP5',to_timestamp('02-FEB-12 02.23.31 PM','DD-MON-RR HH.MI.SS AM'),18,0);
Insert into DATATABLE values ('TOOL1',9,'LOT1','STEP1',to_timestamp('02-FEB-12 02.58.14 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',9,'LOT1','STEP2',to_timestamp('02-FEB-12 02.15.32 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',9,'LOT1','STEP3',to_timestamp('02-FEB-12 02.59.30 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',9,'LOT1','STEP4',to_timestamp('02-FEB-12 03.01.15 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',9,'LOT1','STEP5',to_timestamp('02-FEB-12 03.07.52 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',10,'LOT1','STEP1',to_timestamp('02-FEB-12 02.23.20 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',10,'LOT1','STEP2',to_timestamp('02-FEB-12 02.24.39 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',10,'LOT1','STEP3',to_timestamp('02-FEB-12 02.26.19 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',10,'LOT1','STEP4',to_timestamp('02-FEB-12 02.27.30 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',10,'LOT1','STEP5',to_timestamp('02-FEB-12 02.28.34 PM','DD-MON-RR HH.MI.SS AM'),17,0);
Insert into DATATABLE values ('TOOL1',11,'LOT1','STEP1',to_timestamp('02-FEB-12 02.59.37 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',11,'LOT1','STEP2',to_timestamp('02-FEB-12 03.10.51 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',11,'LOT1','STEP3',to_timestamp('02-FEB-12 02.24.52 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',11,'LOT1','STEP4',to_timestamp('02-FEB-12 03.12.03 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',11,'LOT1','STEP5',to_timestamp('02-FEB-12 03.13.41 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',12,'LOT1','STEP1',to_timestamp('02-FEB-12 02.32.30 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',12,'LOT1','STEP2',to_timestamp('02-FEB-12 02.33.43 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',12,'LOT1','STEP3',to_timestamp('02-FEB-12 02.35.24 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',12,'LOT1','STEP4',to_timestamp('02-FEB-12 02.36.35 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',12,'LOT1','STEP5',to_timestamp('02-FEB-12 02.37.41 PM','DD-MON-RR HH.MI.SS AM'),18,0);
Insert into DATATABLE values ('TOOL1',13,'LOT1','STEP1',to_timestamp('02-FEB-12 02.34.11 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',13,'LOT1','STEP2',to_timestamp('02-FEB-12 02.35.26 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',13,'LOT1','STEP3',to_timestamp('02-FEB-12 02.37.06 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',13,'LOT1','STEP4',to_timestamp('02-FEB-12 02.38.19 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',13,'LOT1','STEP5',to_timestamp('02-FEB-12 02.39.29 PM','DD-MON-RR HH.MI.SS AM'),17,0);
Insert into DATATABLE values ('TOOL1',14,'LOT1','STEP1',to_timestamp('02-FEB-12 02.35.54 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',14,'LOT1','STEP2',to_timestamp('02-FEB-12 02.37.08 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',14,'LOT1','STEP3',to_timestamp('02-FEB-12 02.38.48 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',14,'LOT1','STEP4',to_timestamp('02-FEB-12 02.40.01 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',14,'LOT1','STEP5',to_timestamp('02-FEB-12 02.41.13 PM','DD-MON-RR HH.MI.SS AM'),13,0);
Insert into DATATABLE values ('TOOL1',15,'LOT1','STEP1',to_timestamp('02-FEB-12 02.37.37 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',15,'LOT1','STEP2',to_timestamp('02-FEB-12 02.38.52 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',15,'LOT1','STEP3',to_timestamp('02-FEB-12 02.40.33 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',15,'LOT1','STEP4',to_timestamp('02-FEB-12 02.41.46 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',15,'LOT1','STEP5',to_timestamp('02-FEB-12 02.42.58 PM','DD-MON-RR HH.MI.SS AM'),17,0);
Insert into DATATABLE values ('TOOL1',16,'LOT1','STEP1',to_timestamp('02-FEB-12 02.39.20 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',16,'LOT1','STEP2',to_timestamp('02-FEB-12 02.40.34 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',16,'LOT1','STEP3',to_timestamp('02-FEB-12 02.42.16 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',16,'LOT1','STEP4',to_timestamp('02-FEB-12 02.43.29 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',16,'LOT1','STEP5',to_timestamp('02-FEB-12 02.44.42 PM','DD-MON-RR HH.MI.SS AM'),15,0);
Insert into DATATABLE values ('TOOL1',17,'LOT1','STEP1',to_timestamp('02-FEB-12 02.41.04 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',17,'LOT1','STEP2',to_timestamp('02-FEB-12 02.42.19 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',17,'LOT1','STEP3',to_timestamp('02-FEB-12 02.43.59 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',17,'LOT1','STEP4',to_timestamp('02-FEB-12 02.45.13 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',17,'LOT1','STEP5',to_timestamp('02-FEB-12 02.46.26 PM','DD-MON-RR HH.MI.SS AM'),13,0);
Insert into DATATABLE values ('TOOL1',18,'LOT1','STEP1',to_timestamp('02-FEB-12 02.42.49 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',18,'LOT1','STEP2',to_timestamp('02-FEB-12 02.44.03 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',18,'LOT1','STEP3',to_timestamp('02-FEB-12 02.45.44 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',18,'LOT1','STEP4',to_timestamp('02-FEB-12 02.47.01 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',18,'LOT1','STEP5',to_timestamp('02-FEB-12 02.48.10 PM','DD-MON-RR HH.MI.SS AM'),18,0);
Insert into DATATABLE values ('TOOL1',19,'LOT1','STEP1',to_timestamp('02-FEB-12 02.44.33 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',19,'LOT1','STEP2',to_timestamp('02-FEB-12 02.45.47 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',19,'LOT1','STEP3',to_timestamp('02-FEB-12 02.47.31 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',19,'LOT1','STEP4',to_timestamp('02-FEB-12 02.48.45 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',19,'LOT1','STEP5',to_timestamp('02-FEB-12 02.49.58 PM','DD-MON-RR HH.MI.SS AM'),14,0);
Insert into DATATABLE values ('TOOL1',20,'LOT1','STEP1',to_timestamp('02-FEB-12 02.46.17 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',20,'LOT1','STEP2',to_timestamp('02-FEB-12 02.47.31 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',20,'LOT1','STEP3',to_timestamp('02-FEB-12 02.49.16 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',20,'LOT1','STEP4',to_timestamp('02-FEB-12 02.50.31 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',20,'LOT1','STEP5',to_timestamp('02-FEB-12 02.51.42 PM','DD-MON-RR HH.MI.SS AM'),14,0);
Insert into DATATABLE values ('TOOL1',21,'LOT1','STEP1',to_timestamp('02-FEB-12 02.48.01 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',21,'LOT1','STEP2',to_timestamp('02-FEB-12 02.49.16 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',21,'LOT1','STEP3',to_timestamp('02-FEB-12 02.51.02 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',21,'LOT1','STEP4',to_timestamp('02-FEB-12 02.52.16 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',21,'LOT1','STEP5',to_timestamp('02-FEB-12 02.55.04 PM','DD-MON-RR HH.MI.SS AM'),19,0);
Insert into DATATABLE values ('TOOL1',22,'LOT1','STEP1',to_timestamp('02-FEB-12 02.49.48 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',22,'LOT1','STEP2',to_timestamp('02-FEB-12 02.51.02 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',22,'LOT1','STEP3',to_timestamp('02-FEB-12 02.52.47 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',22,'LOT1','STEP4',to_timestamp('02-FEB-12 02.55.39 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',22,'LOT1','STEP5',to_timestamp('02-FEB-12 02.56.45 PM','DD-MON-RR HH.MI.SS AM'),15,0);
Insert into DATATABLE values ('TOOL1',23,'LOT1','STEP1',to_timestamp('02-FEB-12 02.51.33 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',23,'LOT1','STEP2',to_timestamp('02-FEB-12 02.52.48 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',23,'LOT1','STEP3',to_timestamp('02-FEB-12 02.56.11 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',23,'LOT1','STEP4',to_timestamp('02-FEB-12 02.57.23 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',23,'LOT1','STEP5',to_timestamp('02-FEB-12 02.58.29 PM','DD-MON-RR HH.MI.SS AM'),18,0);
Insert into DATATABLE values ('TOOL1',24,'LOT1','STEP1',to_timestamp('02-FEB-12 02.53.18 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',24,'LOT1','STEP2',to_timestamp('02-FEB-12 02.56.00 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',24,'LOT1','STEP3',to_timestamp('02-FEB-12 02.57.53 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',24,'LOT1','STEP4',to_timestamp('02-FEB-12 02.59.05 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',24,'LOT1','STEP5',to_timestamp('02-FEB-12 03.00.12 PM','DD-MON-RR HH.MI.SS AM'),17,0);
Insert into DATATABLE values ('TOOL1',25,'LOT1','STEP1',to_timestamp('02-FEB-12 02.56.29 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',25,'LOT1','STEP2',to_timestamp('02-FEB-12 02.57.44 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',25,'LOT1','STEP3',to_timestamp('02-FEB-12 02.59.35 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',25,'LOT1','STEP4',to_timestamp('02-FEB-12 03.00.46 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',25,'LOT1','STEP5',to_timestamp('02-FEB-12 03.07.19 PM','DD-MON-RR HH.MI.SS AM'),18,0);
Insert into DATATABLE values ('TOOL1',-1,'LOT2','STEP1',to_timestamp('24-FEB-12 03.19.26 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',1,'LOT2','STEP1',to_timestamp('24-FEB-12 03.00.47 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',1,'LOT2','STEP2',to_timestamp('24-FEB-12 03.02.56 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',1,'LOT2','STEP3',to_timestamp('24-FEB-12 03.03.56 AM','DD-MON-RR HH.MI.SS AM'),19,0);
Insert into DATATABLE values ('TOOL1',2,'LOT2','STEP1',to_timestamp('24-FEB-12 03.02.22 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',2,'LOT2','STEP2',to_timestamp('24-FEB-12 03.05.06 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',2,'LOT2','STEP3',to_timestamp('24-FEB-12 03.06.06 AM','DD-MON-RR HH.MI.SS AM'),18,0);
Insert into DATATABLE values ('TOOL1',3,'LOT2','STEP1',to_timestamp('24-FEB-12 03.03.56 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',3,'LOT2','STEP2',to_timestamp('24-FEB-12 03.07.15 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',3,'LOT2','STEP3',to_timestamp('24-FEB-12 03.13.53 AM','DD-MON-RR HH.MI.SS AM'),19,0);
Insert into DATATABLE values ('TOOL1',4,'LOT2','STEP1',to_timestamp('24-FEB-12 03.05.54 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',4,'LOT2','STEP2',to_timestamp('24-FEB-12 03.15.03 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',4,'LOT2','STEP3',to_timestamp('24-FEB-12 03.16.04 AM','DD-MON-RR HH.MI.SS AM'),18,0);
Insert into DATATABLE values ('TOOL1',5,'LOT2','STEP1',to_timestamp('24-FEB-12 03.05.58 AM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',5,'LOT2','STEP2',to_timestamp('24-FEB-12 03.25.35 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',5,'LOT2','STEP3',to_timestamp('24-FEB-12 03.29.56 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',5,'LOT2','STEP4',to_timestamp('24-FEB-12 03.30.57 AM','DD-MON-RR HH.MI.SS AM'),16,0);
Insert into DATATABLE values ('TOOL1',6,'LOT2','STEP1',to_timestamp('24-FEB-12 03.14.18 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',6,'LOT2','STEP2',to_timestamp('24-FEB-12 03.17.13 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',6,'LOT2','STEP3',to_timestamp('24-FEB-12 03.19.55 AM','DD-MON-RR HH.MI.SS AM'),18,0);
Insert into DATATABLE values ('TOOL1',7,'LOT2','STEP1',to_timestamp('24-FEB-12 03.15.51 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',7,'LOT2','STEP2',to_timestamp('24-FEB-12 03.21.18 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',7,'LOT2','STEP3',to_timestamp('24-FEB-12 03.22.19 AM','DD-MON-RR HH.MI.SS AM'),19,0);
Insert into DATATABLE values ('TOOL1',8,'LOT2','STEP1',to_timestamp('24-FEB-12 03.17.50 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',8,'LOT2','STEP2',to_timestamp('24-FEB-12 03.23.28 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',8,'LOT2','STEP3',to_timestamp('24-FEB-12 03.24.29 AM','DD-MON-RR HH.MI.SS AM'),18,0);
Insert into DATATABLE values ('TOOL1',9,'LOT2','STEP1',to_timestamp('24-FEB-12 03.21.42 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',9,'LOT2','STEP2',to_timestamp('24-FEB-12 03.25.37 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',9,'LOT2','STEP3',to_timestamp('24-FEB-12 03.26.38 AM','DD-MON-RR HH.MI.SS AM'),19,0);
Insert into DATATABLE values ('TOOL1',10,'LOT2','STEP1',to_timestamp('24-FEB-12 03.23.25 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',10,'LOT2','STEP2',to_timestamp('24-FEB-12 03.27.47 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',10,'LOT2','STEP3',to_timestamp('24-FEB-12 03.28.47 AM','DD-MON-RR HH.MI.SS AM'),19,0);
Insert into DATATABLE values ('TOOL1',11,'LOT2','STEP1',to_timestamp('24-FEB-12 03.27.44 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',11,'LOT2','STEP2',to_timestamp('24-FEB-12 03.32.06 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',11,'LOT2','STEP3',to_timestamp('24-FEB-12 03.33.07 AM','DD-MON-RR HH.MI.SS AM'),18,0);
Insert into DATATABLE values ('TOOL1',12,'LOT2','STEP1',to_timestamp('24-FEB-12 03.29.54 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',12,'LOT2','STEP2',to_timestamp('24-FEB-12 03.34.16 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',12,'LOT2','STEP3',to_timestamp('24-FEB-12 03.35.17 AM','DD-MON-RR HH.MI.SS AM'),18,0);
Insert into DATATABLE values ('TOOL1',13,'LOT2','STEP1',to_timestamp('24-FEB-12 03.32.04 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',13,'LOT2','STEP2',to_timestamp('24-FEB-12 03.36.26 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',13,'LOT2','STEP3',to_timestamp('24-FEB-12 03.37.27 AM','DD-MON-RR HH.MI.SS AM'),19,0);
Insert into DATATABLE values ('TOOL1',14,'LOT2','STEP1',to_timestamp('24-FEB-12 03.34.14 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',14,'LOT2','STEP2',to_timestamp('24-FEB-12 03.38.36 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',14,'LOT2','STEP3',to_timestamp('24-FEB-12 03.39.37 AM','DD-MON-RR HH.MI.SS AM'),19,0);
Insert into DATATABLE values ('TOOL1',15,'LOT2','STEP1',to_timestamp('24-FEB-12 03.36.24 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',15,'LOT2','STEP2',to_timestamp('24-FEB-12 03.40.46 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',15,'LOT2','STEP3',to_timestamp('24-FEB-12 03.41.46 AM','DD-MON-RR HH.MI.SS AM'),18,0);
Insert into DATATABLE values ('TOOL1',16,'LOT2','STEP1',to_timestamp('24-FEB-12 03.38.34 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',16,'LOT2','STEP2',to_timestamp('24-FEB-12 03.42.55 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',16,'LOT2','STEP3',to_timestamp('24-FEB-12 03.43.56 AM','DD-MON-RR HH.MI.SS AM'),19,0);
Insert into DATATABLE values ('TOOL1',17,'LOT2','STEP1',to_timestamp('24-FEB-12 03.40.43 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',17,'LOT2','STEP2',to_timestamp('24-FEB-12 03.45.05 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',17,'LOT2','STEP3',to_timestamp('24-FEB-12 03.46.06 AM','DD-MON-RR HH.MI.SS AM'),17,0);
Insert into DATATABLE values ('TOOL1',18,'LOT2','STEP1',to_timestamp('24-FEB-12 03.42.53 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',18,'LOT2','STEP2',to_timestamp('24-FEB-12 03.47.15 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',18,'LOT2','STEP3',to_timestamp('24-FEB-12 03.48.16 AM','DD-MON-RR HH.MI.SS AM'),18,0);
Insert into DATATABLE values ('TOOL1',19,'LOT2','STEP1',to_timestamp('24-FEB-12 03.45.03 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',19,'LOT2','STEP2',to_timestamp('24-FEB-12 03.49.25 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',19,'LOT2','STEP3',to_timestamp('24-FEB-12 03.50.26 AM','DD-MON-RR HH.MI.SS AM'),18,0);
Insert into DATATABLE values ('TOOL1',20,'LOT2','STEP1',to_timestamp('24-FEB-12 03.47.13 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',20,'LOT2','STEP2',to_timestamp('24-FEB-12 03.51.34 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',20,'LOT2','STEP3',to_timestamp('24-FEB-12 03.52.35 AM','DD-MON-RR HH.MI.SS AM'),18,0);
Insert into DATATABLE values ('TOOL1',21,'LOT2','STEP1',to_timestamp('24-FEB-12 03.49.22 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',21,'LOT2','STEP2',to_timestamp('24-FEB-12 03.53.44 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',21,'LOT2','STEP3',to_timestamp('24-FEB-12 03.54.45 AM','DD-MON-RR HH.MI.SS AM'),18,0);
Insert into DATATABLE values ('TOOL1',22,'LOT2','STEP1',to_timestamp('24-FEB-12 03.51.32 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',22,'LOT2','STEP2',to_timestamp('24-FEB-12 03.55.54 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',22,'LOT2','STEP3',to_timestamp('24-FEB-12 03.56.55 AM','DD-MON-RR HH.MI.SS AM'),18,0);
Insert into DATATABLE values ('TOOL1',23,'LOT2','STEP1',to_timestamp('24-FEB-12 03.53.42 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',23,'LOT2','STEP2',to_timestamp('24-FEB-12 03.58.03 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',23,'LOT2','STEP3',to_timestamp('24-FEB-12 03.59.04 AM','DD-MON-RR HH.MI.SS AM'),19,0);
Insert into DATATABLE values ('TOOL1',24,'LOT2','STEP1',to_timestamp('24-FEB-12 03.55.51 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',24,'LOT2','STEP2',to_timestamp('24-FEB-12 04.00.14 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',24,'LOT2','STEP3',to_timestamp('24-FEB-12 04.01.15 AM','DD-MON-RR HH.MI.SS AM'),18,0);
Insert into DATATABLE values ('TOOL1',25,'LOT2','STEP1',to_timestamp('24-FEB-12 03.58.01 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',25,'LOT2','STEP2',to_timestamp('24-FEB-12 04.02.23 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',25,'LOT2','STEP3',to_timestamp('24-FEB-12 04.03.24 AM','DD-MON-RR HH.MI.SS AM'),18,0);(code generated by sqldeveloper)
In the example:
LOT1 has two slot, with only 1 step instead of 5 --> these slots should not be counted --> result 23
LOT2 has one slot, with 4 instead of 3 --> this slot is ok and should be counted --> result 25
as previously mentioned, i want to count all slots, which got at least the median amount of steps [edit: slot -1 should also not be counted]
LOT1:
SELECT
sum(CASE WHEN SLOT != -1 THEN parameter1 END) parameter1,
min(CASE WHEN SLOT != -1 THEN EndTime END) first_time,
max(CASE WHEN SLOT != -1 THEN EndTime END) last_time,
sum(CASE WHEN SLOT != -1 THEN parameter6 END) parameter6,
CASE WHEN count(DISTINCT CASE WHEN SLOT != -1 THEN SLOT END) > 0 AND ROUND(count(DISTINCT CASE WHEN SLOT != -1 THEN SLOT||STEP END)/count(DISTINCT CASE WHEN SLOT != -1 THEN SLOT END)) > 0 THEN FLOOR(count(DISTINCT CASE WHEN SLOT != -1 THEN SLOT||STEP END)/ROUND(count(DISTINCT CASE WHEN SLOT != -1 THEN SLOT||STEP END)/count(DISTINCT CASE WHEN SLOT != -1 THEN SLOT END))) ELSE NULL END num_slots,
sum(CASE WHEN SLOT = -1 THEN parameter1 END) minusone_parameter1,
min(CASE WHEN SLOT = -1 THEN EndTime END) minusone_first_time,
max(CASE WHEN SLOT = -1 THEN EndTime END) minusone_last_time,
sum(CASE WHEN SLOT = -1 THEN parameter6 END) minusone_parameter6,
count(CASE WHEN SLOT = -1 THEN 1 END) num_minusone
FROM
datatable
WHERE
tool = 'TOOL1'
AND lotid = 'LOT1';
PARAMETER1 FIRST_TIME LAST_TIME PARAMETER6 *NUM_SLOTS* MINUSONE_PARAMETER1 MINUSONE_FIRST_TIME MINUSONE_LAST_TIME MINUSONE_PARAMETER6 NUM_MINUSONE
423 02.02.12 13:51:28 02.02.12 15:13:41 0 *23* 46 02.02.12 14:20:35 02.02.12 15:18:47 0 5 this is the desired result
same query with Lot2:
PARAMETER1 FIRST_TIME LAST_TIME PARAMETER6 *NUM_SLOTS* MINUSONE_PARAMETER1 MINUSONE_FIRST_TIME MINUSONE_LAST_TIME MINUSONE_PARAMETER6 NUM_MINUSONE
506 24.02.12 03:00:47 24.02.12 04:03:24 0 *25* 1 24.02.12 03:19:26 24.02.12 03:19:26 0 1 so right now i get the desired results with this ugly query... but with combinations of several different conditions - e.g. several slots with more steps and a few with less... - it may not work.
Edited by: Paneologist on Feb 24, 2012 7:42 AM -
Input query with dynamic actual & forecast values by month per year
Hello,
I am working on a Input ready query for a forecasting application which shows both actuals and forecast numbers and the user will revise the forecast numbers by month
Requirement: I want to build a Input query for monthly forecasting for the current year. It will be dynamic rolling of months with actuals & forecast data.
E.g. My report has 12 months for the current year
and if run the report in May, the months before May has to show the actuals and the months after May has to show the old forecast data so that the user will revise the numbers again in each month and save the data to the real time cube.
Jan.Feb.Mar.Apr.May.Jun.Jul.Aug.Sept.Nov.Dec
Act Act Act Act Act Old frcst for the remaining months
user will revise forecast for these months
So, i am able to create Input query with all restricted key figures( plan kf has change mode set to change, actual kf are not set change) and calculate key figures and all the logic is done on dynamically moving/rolling the data based on the input month of the year.
But the problem is that i am using cal kf to dynamically roll months, i was not able to set the change option for the cal kf.
So, how can i make sure that the dynamically changed plan months will open for entering forecast and the actuals months not to change?
Do you guys have any better solutions in implementing it?
I really appreciate it your input....:)
Thanks,
SriniHi,
Please look at the following DOC which may be useful to you and if so please grant me point.
Regards,
SUbha'
Input-Ready Query
Use
You use input-ready queries to create applications for manual planning. These can range from simple data entry scenarios to complex planning applications.
Integration
You define a query that you want to use for manual planning in the BEx Query Designer (see Defining New Queries).
In the Web Application Designer or the BEx Analyzer, you can combine the input-ready queries with other queries and planning functions to create complex planning applications.
Prerequisites
You can define an input-ready query on any of the following InfoProviders:
● Aggregation levels (see Aggregation Levels)
● MultiProviders that include at least one simple aggregation level
The aggregation levels are created in the planning modeler; MultiProviders are defined in the modeling functional area of the Data Warehousing Workbench.
Features
Definition of an Input-Ready Query
Once you have defined a query on an InfoProvider, you see the Planning tab page under the Properties of structural components (for example, in key figures or restricted key figures). The options provided there allow you to determine which structural components of an input-ready query are to be input ready at runtime and which are not. With structural components that are not input ready, you can also determine whether these components are viewed as reference data or are just protected against manual entry.
For the structural components, you also have the following options:
Input readiness of structural components of a query
Option
Description
Not input ready (reference data)
If they are being used as reference data, the structural components are not protected by data locks to ensure exclusive access for one user because this data serves as a reference for many users.
This is the default setting.
Not input ready (no reference data)
If you want to protect structural components against manual entries but allow changes by planning functions, you can use locks to protect this data for one particular user. In this way you can ensure that the planning function works with the displayed data only and not with data that has been changed by other users.
Input ready
You can also determine whether an input ready query is to be started in change mode or in display mode. You find this property in the Query Properties on the Planning tab page. If there is at least one input-ready query component, the query (as long as it has not been determined otherwise) is started in display mode.
In BI applications that use input ready queries as data providers, you can enter data manually at runtime. For more information, see Performing Manual Planning and Creation of Planning Applications.
Example
You want to create an input-ready query for manual planning for a plan-actual comparison of revenues for a set of products. You want the plan data in a real-time-enabled InfoCube and the actual data in a standard InfoCube.
1. Create a MultiProvider that includes the InfoCubes for the plan and actual data.
2. Define an aggregation level on the MultiProvider which contains the characteristic Product and the key figure Revenue.
3. On the aggregation level, create two restricted key figures Plan Revenue and Actual Revenue. For restriction, choose the characteristic 0INFOPROV and restrict it to the plan or actual InfoCube.
4. Add the restricted key figures to the key figure structure. Insert Product into the rows. For Plan Revenue, choose Input Ready for the input-readiness option. For Actual Revenue, choose the option Not Input Ready (Reference Data).
5. In the query properties, set the indicator that determines whether the queries are started in display or change mode as required.
Example of an input-ready query
Product
Plan Revenue
Actual Revenue
P01
20
P02
30
If you want to keep actual and plan data in a real-time enabled InfoCube, you do not require a MultiProvider for the task described above. Create an aggregation level on the InfoCube and define the input-ready query for the aggregation level. In the example above, a version characteristic acts as the InfoProvider. Create restricted key figures with the plan or actual version and proceed as in the previous example. -
Group By reports with Serial Numbers
hi,
i am creating group by reports with serial numbers. i use the
following code to generate the serial numbers using a formula
column:
function SNOFormula return Number is
SNO NUMBER(5);
begin
SNO := :SNO + 1;
RETURN(SNO);
end;
I am able to acheive the required output with the above code in
the case of Normal Tablular reports. But in the case of Group by
reports, the output goes as follows:
for example:
sno,groupno,empno
1,g1,e1
e2
e3
4,g2,e5
e6
Any way out?. pls help.
Regards,
Prabhu Screate a summary column in the group . set the function to
count. set the source to the group name. set the reset at value
as report. create a field in the lay our editor left of the
group field. set the source as the summary column. you will see
the numbering.
Ex :
Query : Select * From Emp;
Group Field : Deptno
Summary Field : CS_Count
Properties of Cs_Count - Function => Count
Source => DEPTNO
Reset At => Report
Now create a field in the lay out editor left side of deptno
field lets say "SEQ", set the source to Cs_Count.
It will disply the serial number of the groups. -
Left join query with join of three tables
I'm trying to build a query which has me stumped. Most of the query is fairly straightforward but I've run into an issue I'm not sure how to solve.
Background:
We have actions stored in i_action.
We have the available attributes for each type of action. The available attributes for each action are described in shared_action_attribute. Each type of action may have up to three attributes or none at all.
We have the values stored for the attributes in i_attribute_value.
A written example:
We have a transfer action (action_code B4). The entry of the B4 action into i_action records the fact that the transfer occurred and the date on which it occurred. The available attributes for a transfer action are the receiving function code, the receiving unit number, and the transfer reason code. These available attribute types and their order are stored in shared_action_attribute. The actual values of the attributes for a specific transfer action are stored in i_attribute_value.
Now i_action and i_attribute_value can be directly linked through action_seq in i_action and ia_action_seq in i_attribute_value. A left join built between these two tables provides results for all actions (including actions which have no attributes) and attribute values (see query 1 below).
There are two issues. First, I only want the first two attributes. In order to specify the first two attributes, I also have to link i_attribute_value to shared_action_attribute (which is where the order is stored). I can build a simple query (without the left join) linking the three tables but then actions with no attributes would be excluded from my result set (see query 2 below).
The second issue is that I would actually like one row returned for each action with first_attribute and second_attribute as columns instead of two rows.
The final query will be used to create a materialized view.
Here are the tables and examples of what's stored in them:
TABLE i_action
Name Type
ACTION_SEQ NUMBER(10)
ACTION_DATE DATE
ACTION_CODE VARCHAR2(3)
DELETED VARCHAR2(1)
EXAMPLE ROWS
ACTION_SEQ ACTION_DATE ACTION_CODE DELETED
45765668 09-OCT-09 B2 A
45765670 09-OCT-09 BA A
45765672 09-OCT-09 B6 A
45765673 09-OCT-09 B4 A
45765674 09-OCT-09 G1 A
45765675 09-OCT-09 M3 A
TABLE i_attribute_value
Name Type
IA_ACTION_SEQ NUMBER(10)
SACTATT_SACT_CODE VARCHAR2(3)
SACTATT_SAT_TYPE VARCHAR2(3)
VALUE VARCHAR2(50)
EXAMPLE ROWS
IA_ACTION_SEQ SACTATT_SACT_CODE SACTATT_SAT_TYPE VALUE
45765668 B2 ACO 37B
45765670 BA ROA D
45765670 BA ROR P
45765672 B6 CAT C
45765673 B4 RFC E
45765673 B4 TRC P
45765673 B4 RUN 7
45765674 G1 SS 23567
45765674 G1 ASG W
TABLE shared_action_attribute
Name Type
SACT_CODE VARCHAR2(3)
SAT_TYPE VARCHAR2(3)
ORDER NUMBER(2)
TITLE VARCHAR2(60)
EXAMPLE ROWS
SACT_CODE SAT_TYPE ORDER TITLE
B2 ACO 1 Office code
BA ROR 1 Reason for reopen
BA ROA 2 Reopen authority
B6 CAT 1 Category
B4 RFC 1 Receiving function code
B4 RUN 2 Receiving unit code
B4 TRC 3 Transfer reason code
G1 SS 1 Staff sequence
G1 ASG 2 Assignment reason
QUERY 1:
This is my current query along with its results. Most of it is straightforward select but one column is populated using the last_value analytical function (thanks to you guys). The last column in the below view stores the attribute value. What I want is to replace that single column with two columns named first_attribute and second_attribute and to eliminate any other attributes.
SELECT ia.action_seq, ia.action_date, ia.action_code cod,
NVL
(LAST_VALUE (CASE
WHEN ia.action_code = 'G1'
AND iav.sactatt_sat_type = 'SS'
THEN VALUE
WHEN ia.action_code IN ('A0', 'A1')
THEN '67089'
END IGNORE NULLS
) OVER (PARTITION BY ia.ici_charge_inquiry_seq ORDER BY ia.action_date,
ia.serial_number, ia.action_seq),
'67089'
) staff_seq,
value
FROM i_action ia LEFT JOIN i_attribute_value iav
ON iav.ia_action_seq = ia.action_seq
WHERE ia.deleted = 'A';
ACTION_SEQ ACTION_DA COD STAFF_SEQ VALUE
45765668 09-OCT-09 B2 67089 37B
45765670 09-OCT-09 BA 67089 D
45765670 09-OCT-09 BA 67089 P
45765672 09-OCT-09 B6 67089 C
45765673 09-OCT-09 B4 67089 E
45765673 09-OCT-09 B4 67089 P
45765673 09-OCT-09 B4 67089 7
45765674 09-OCT-09 G1 23567 23567
45765674 09-OCT-09 G1 23567 W
45765675 09-OCT-09 M3 23567
QUERY 2:
This query limits to the first two attributes but it also drops actions which have no attributes and it still creates multiple rows for each action instead of a single row with two columns for the attributes.
SELECT ia.action_seq, ia.action_date, ia.action_code cod,
NVL
(LAST_VALUE (CASE
WHEN ia.action_code = 'G1'
AND iav.sactatt_sat_type = 'SS'
THEN VALUE
WHEN ia.action_code IN ('A0', 'A1')
THEN '67089'
END IGNORE NULLS
) OVER (PARTITION BY ia.ici_charge_inquiry_seq ORDER BY ia.action_date,
ia.serial_number, ia.action_seq),
'67089'
) staff_seq,
value
FROM shared_action_attribute saa, ims_action ia, ims_attribute_value iav
WHERE iav.ia_action_seq = ia.action_seq
AND iav.sactatt_sact_code = saa.sact_code
AND iav.sactatt_sat_type = saa.sat_type
AND saa.display_order IN ('1','2')
AND ia.deleted = 'A';
ACTION_SEQ ACTION_DA COD VALUE
45765668 09-OCT-09 B2 67089 37B
45765670 09-OCT-09 BA 67089 D
45765670 09-OCT-09 BA 67089 P
45765672 09-OCT-09 B6 67089 C
45765673 09-OCT-09 B4 67089 E
45765673 09-OCT-09 B4 67089 7
45765674 09-OCT-09 G1 23567 23567
45765674 09-OCT-09 G1 23567 W
I found this pretty complex to try to write out - I hope I've been clear.
Thanks so much!Ok, here's more information with a simplified question. I figured out the syntax for building my query with the three tables. My final query returns multiple rows (multiple attributes per action). Instead of multiple rows, I'd like two columns (first_attribute, and second_attribute) in a single row (I only need the first two attributes).
Here's the action table:
CREATE TABLE I_ACTION
ACTION_SEQ NUMBER(10) NOT NULL,
ACTION_DATE DATE,
ACTION_CODE VARCHAR2(3 BYTE) NOT NULL,
DELETED VARCHAR2(1 BYTE),
);With the following rows added:
Insert into I_ACTION (ACTION_SEQ, ACTION_DATE, ACTION_CODE, DELETED)
Values (45765668, '09-oct-2009', 'B2', 'A');
Insert into I_ACTION (ACTION_SEQ, ACTION_DATE, ACTION_CODE, DELETED)
Values (45765670, '09-oct-2009', 'BA', 'A');
Insert into I_ACTION (ACTION_SEQ, ACTION_DATE, ACTION_CODE, DELETED)
Values (45765672, '09-oct-2009', 'B6', 'A');
Insert into I_ACTION (ACTION_SEQ, ACTION_DATE, ACTION_CODE, DELETED)
Values (45765673, '09-oct-2009', 'B4', 'A');
Insert into I_ACTION (ACTION_SEQ, ACTION_DATE, ACTION_CODE, DELETED)
Values (45765674, '09-oct-2009', 'G1', 'A');
Insert into I_ACTION (ACTION_SEQ, ACTION_DATE, ACTION_CODE, DELETED)
Values (45765675, '09-oct-2009', 'M3', 'A');
COMMIT;The attribute table is:
CREATE TABLE I_ATTRIBUTE_VALUE
IA_ACTION_SEQ NUMBER(10) NOT NULL,
SACTATT_SACT_CODE VARCHAR2(3 BYTE) NOT NULL,
SACTATT_SAT_TYPE VARCHAR2(3 BYTE) NOT NULL,
VALUE VARCHAR2(50 BYTE),
);With the following rows:
Insert into I_ATTRIBUTE_VALUE (IA_ACTION_SEQ, SACTATT_SACT_CODE, SACTATT_SAT_TYPE, VALUE)
Values (45765668, 'B2', 'ACO', '37B');
Insert into I_ATTRIBUTE_VALUE (IA_ACTION_SEQ, SACTATT_SACT_CODE, SACTATT_SAT_TYPE, VALUE)
Values (45765670, 'BA', 'ROR', 'P');
Insert into I_ATTRIBUTE_VALUE (IA_ACTION_SEQ, SACTATT_SACT_CODE, SACTATT_SAT_TYPE, VALUE)
Values (45765670, 'BA', 'ROA', 'D');
Insert into I_ATTRIBUTE_VALUE (IA_ACTION_SEQ, SACTATT_SACT_CODE, SACTATT_SAT_TYPE, VALUE)
Values (45765672, 'B6', 'CAT', 'C');
Insert into I_ATTRIBUTE_VALUE (IA_ACTION_SEQ, SACTATT_SACT_CODE, SACTATT_SAT_TYPE, VALUE)
Values (45765673, 'B4', 'RFC', 'E');
Insert into I_ATTRIBUTE_VALUE (IA_ACTION_SEQ, SACTATT_SACT_CODE, SACTATT_SAT_TYPE, VALUE)
Values (45765673, 'B4', 'RUN', '7');
Insert into I_ATTRIBUTE_VALUE (IA_ACTION_SEQ, SACTATT_SACT_CODE, SACTATT_SAT_TYPE, VALUE)
Values (45765673, 'B4', 'TRC', 'P');
Insert into I_ATTRIBUTE_VALUE (IA_ACTION_SEQ, SACTATT_SACT_CODE, SACTATT_SAT_TYPE, VALUE)
Values (45765674, 'G1', 'SS', '23567');
Insert into I_ATTRIBUTE_VALUE (IA_ACTION_SEQ, SACTATT_SACT_CODE, SACTATT_SAT_TYPE, VALUE)
Values (45765674, 'G1', 'ASG', 'W');
COMMIT;And finally, the shared table:
CREATE TABLE SHARED_ACTION_ATTRIBUTE
SACT_CODE VARCHAR2(3 BYTE) NOT NULL,
SAT_TYPE VARCHAR2(3 BYTE) NOT NULL,
TITLE VARCHAR2(25 BYTE) NOT NULL,
DISPLAY_ORDER NUMBER(2) NOT NULL
);With the following rows:
Insert into SHARED_ACTION_ATTRIBUTE (SACT_CODE, SAT_TYPE, TITLE, DISPLAY_ORDER)
Values ('B4', 'RFC', 'Y', 'Rcv. Function Code', 1);
Insert into SHARED_ACTION_ATTRIBUTE (SACT_CODE, SAT_TYPE, TITLE, DISPLAY_ORDER)
Values ('B6', 'CAT', 'Y', 'Category', 1);
Insert into SHARED_ACTION_ATTRIBUTE (SACT_CODE, SAT_TYPE, TITLE, DISPLAY_ORDER)
Values ('G1', 'SS', 'Y', 'Staff Name', 1);
Insert into SHARED_ACTION_ATTRIBUTE (SACT_CODE, SAT_TYPE, TITLE, DISPLAY_ORDER)
Values ('B2', 'ACO', 'Y', '"Other" Office Code', 1);
Insert into SHARED_ACTION_ATTRIBUTE (SACT_CODE, SAT_TYPE, TITLE, DISPLAY_ORDER)
Values ('B4', 'RUN', 'Y', 'Receiving Unit Number', 2);
Insert into SHARED_ACTION_ATTRIBUTE (SACT_CODE, SAT_TYPE, TITLE, DISPLAY_ORDER)
Values ('B6', 'LEP', 'N', 'LEP Issue/Sub Category', 2);
Insert into SHARED_ACTION_ATTRIBUTE (SACT_CODE, SAT_TYPE, TITLE, DISPLAY_ORDER)
Values ('B4', 'TRC', 'Y', 'Transfer Reason Code', 3);
Insert into SHARED_ACTION_ATTRIBUTE (SACT_CODE, SAT_TYPE, TITLE, DISPLAY_ORDER)
Values ('B6', 'NEP', 'N', 'NEP Issue', 3);
Insert into SHARED_ACTION_ATTRIBUTE (SACT_CODE, SAT_TYPE, TITLE, DISPLAY_ORDER)
Values ('G1', 'ASG', 'Y', 'Assignment Reason', 2);
Insert into SHARED_ACTION_ATTRIBUTE (SACT_CODE, SAT_TYPE, TITLE, DISPLAY_ORDER)
Values ('B2', 'MSN', 'S', 'Machine Serial Number', 3);
Insert into SHARED_ACTION_ATTRIBUTE (SACT_CODE, SAT_TYPE, TITLE, DISPLAY_ORDER)
Values ('BA', 'ROR', 'Y', 'Reopen Reason', 1);
Insert into SHARED_ACTION_ATTRIBUTE (SACT_CODE, SAT_TYPE, TITLE, DISPLAY_ORDER)
Values ('BA', 'ROA', 'Y', 'Reopen Authority', 2);
COMMIT;Now, this is my current query (it's changed from my first post):
SELECT ia.action_seq, ia.ici_charge_inquiry_seq, ia.action_date,
ia.serial_number, ia.reporting_office, ia.reporting_function,
ia.reporting_unit, ia.action_code, ia.machine_serial_number,
NVL
(LAST_VALUE (CASE
WHEN ia.action_code = 'G1'
THEN VALUE
WHEN ia.action_code IN ('A0', 'A1')
THEN '67089'
END IGNORE NULLS
) OVER (PARTITION BY ia.ici_charge_inquiry_seq ORDER BY ia.action_date,
ia.serial_number, ia.action_seq),
'67089'
) staff_seq,
(CASE
WHEN display_order = '1'
THEN VALUE
END) first_attribute,
(CASE
WHEN display_order = '2'
THEN VALUE
END) second_attribute
FROM ims_action ia
LEFT JOIN ims_attribute_value iav
ON iav.ia_action_seq = ia.action_seq
LEFT JOIN shared_action_attribute
ON sactatt_sact_code = sact_code
AND sactatt_sat_type = sat_type
WHERE ia.deleted = 'A';Which gives me the following results:
ACTION_SEQ ACTION_DA ACT STAFF_SEQ FIRST_ATTRIBUTE SECOND_ATTRIBUTE
45765668 09-OCT-09 B2 67089 37B
45765670 09-OCT-09 BA 67089 D
45765670 09-OCT-09 BA 67089 P
45765672 09-OCT-09 B6 67089 C
45765673 09-OCT-09 B4 67089 E
45765673 09-OCT-09 B4 67089 7
45765673 09-OCT-09 B4 67089
45765674 09-OCT-09 G1 23567 W
45765674 09-OCT-09 G1 23567 23567
45765675 09-OCT-09 M3 23567 The result I WANT is similar but I want the two separate attribute columns on one row as such:
ACTION_SEQ ACTION_DA ACT STAFF_SEQ FIRST_ATTRIBUTE SECOND_ATTRIBUTE
45765668 09-OCT-09 B2 67089 37B
45765670 09-OCT-09 BA 67089 P D
45765672 09-OCT-09 B6 67089 C
45765673 09-OCT-09 B4 67089 E 7
45765674 09-OCT-09 G1 23567 23567 W
45765675 09-OCT-09 M3 23567 Thanks so much! -
Set READ UNCOMMITED for a query with a table join (Ver 12.5. and 15.5)
Hi all,
this is an example of how to set the READ UNCOMMITED isolation level for a simple query:
select col_a from mytable at isolation 0
What about a query with an equi-join?
Is it:
select col_a
from mytable t1, mytable t2
at isolation 0
I am sorry for the simple question, I did not find a auitable example in the documentation.
Best Regards
ArthurYeah, the docs aren't very good at providing a robust set of examples so you've gotta:
1 - review the command syntax and then
2 - try a few examples until you find the format that works
1 - From the ASE 15.5 Commands reference manual we find the following syntax:
=========================
select ::=
select [all | distinct]
[top unsigned_integer]
select_list
[into_clause]
[from_clause]
[where_clause]
[group_by_clause]
[having_clause]
[order_by_clause]
[compute_clause]
[read_only_clause]
[isolation_clause]
[browse_clause]
[plan_clause]
=========================
This shows us that the isolation clause is attached at the 'end' of the query as a query-level specifier (along with the 'group by', 'order by' and 'having' clauses).
From this syntax I'd say your proposed query looks correct so ...
2 - Try running your example to see if you get a syntax error ("When in doubt, try it out!"), eg:
=========================
select s.name,c.name
from sysobjects s, syscolumns c
where s.id = c.id
at isolation 0
go
name
sysobjects
sysobjects
sysobjects
... snip ...
=========================
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