Here is my Query
SELECT
tbl_dtl_feature.customer_id,
result,
COUNT(*) AS expr1
FROM tbl_dtl_feature
WHERE tbl_dtl_feature.feature_id = 'F001'
AND TRUNC(tbl_dtl_feature.start_datetime)
BETWEEN TO_DATE('10/01/2014', 'DD/MM/YYYY') AND TO_DATE('10/01/2014', 'DD/MM/YYYY')
GROUP BY tbl_dtl_feature.result, tbl_dtl_feature.customer_id
My Result set:
CustomerID Result Count
---------- ------- -----
44438111 Success 3
44438444 Success 1
44438111 Failure 1
Expected Result Set:
CustomerID Count(Success) Count(Failure)
---------- -------------- -------------
44438111 3 1
44438444 1 0
Can you help me out?
Try like this,
SELECT t.customer_id,
count(CASE WHEN result = 'Success' THEN 1 END) Count_Success,
count(CASE WHEN result = 'Failure' THEN 1 END) Count_Failure
FROM tbl_dtl_feature t
WHERE t.feature_id = 'F001'
AND trunc(t.start_datetime) BETWEEN to_date('10/01/2014', 'DD/MM/YYYY') AND to_date('10/01/2014', 'DD/MM/YYYY')
GROUP BY t.customer_id;
Related
I have this query for example:
CREATE OR REPLACE VIEW xx AS
SELECT TO_CHAR(tsc.id) AS status,
CASE WHEN tsc.description IS NULL THEN CAST('' as NVARCHAR2(50)) ELSE tsc.description END AS description,
SUM(CASE WHEN tr.USER_TYPE = 1 THEN 1 ELSE 0 END) AS "1",
SUM(CASE WHEN tr.USER_TYPE = 2 THEN 1 ELSE 0 END) AS "2",
SUM(CASE WHEN tr.USER_TYPE = 3 THEN 1 ELSE 0 END) AS "3",
SUM(CASE WHEN tr.USER_TYPE = 5 THEN 1 ELSE 0 END) AS "5",
SUM(CASE WHEN tr.USER_TYPE IS NOT NULL THEN 1 ELSE 0 END) AS total
FROM TRANSACTION_STATUS_CODES tsc
LEFT JOIN TRANSACTIONS tr ON tsc.id = tr.status AND tr.User_Type BETWEEN 1 AND 5 AND tr.status != 1 AND tr.update_date BETWEEN TO_DATE('2022-01-01', 'yyyy-mm-dd HH24:MI:SS') AND
TO_DATE('2023-01-04', 'yyyy-mm-dd HH24:MI:SS')
LEFT JOIN TRANSACTION_USER_TYPES ut ON ut.id = tr.user_type
WHERE tsc.id != 1
GROUP BY tsc.id, tsc.description;
I have this line inside:
AND tr.update_date BETWEEN TO_DATE('2022-01-01', 'yyyy-mm-dd HH24:MI:SS') AND TO_DATE('2023-01-04', 'yyyy-mm-dd HH24:MI:SS')
Im trying to create that view and then select all from view given an Update_date column as a where clause, something like either :
SELECT * FROM xx WHERE transactions.update_date IN (SELECT transactions.update_date FROM transactions WHERE transactions.update_date BETWEEN TO_DATE('2023-01-04', 'yyyy-mm-dd HH24:MI:SS') AND TO_DATE('2023-01-04', 'yyyy-mm-dd HH24:MI:SS'));
----
select * from xx where update_date between date1 and date2
nothing Ive tried seem to be working, and tbh thats kinda wierd that it has to be in the select statement of the view in order for my view to recognize it because the tables are joined so why the heck wouldnt my view recognize it? is that really how things are working in oracle? or am I missing something?
to be honest it will kinda freak me out if theres no workaround because this doesnt make any sense..
That's how it goes. Imagine view as a table - it contains its columns. You can't select something that doesn't exist. For example, table contains 3 columns:
SQL> select * from dept;
DEPTNO DNAME LOC
---------- -------------- -------------
10 ACCOUNTING NEW YORK
20 RESEARCH DALLAS
30 SALES CHICAGO
40 OPERATIONS BOSTON
Create a view that contains only one column from that table:
SQL> create or replace view xx as select dname from dept;
View created.
SQL> desc xx
Name Null? Type
----------------------------------------- -------- ----------------------------
DNAME VARCHAR2(14)
Can you select column that doesn't exist in that view? Of course you can not:
SQL> select loc from xx;
select loc from xx
*
ERROR at line 1:
ORA-00904: "LOC": invalid identifier
SQL>
The same goes for your view, although it is based on several tables.
If you want to be able to select other columns, you have to include them into SELECT column list. It is also probably a good idea NOT to filter data on date column while creating a view:
CREATE OR REPLACE VIEW xx
AS
SELECT TO_CHAR (tsc.id) AS status,
CASE
WHEN tsc.description IS NULL THEN CAST ('' AS NVARCHAR2 (50))
ELSE tsc.description
END AS description,
SUM (CASE WHEN tr.USER_TYPE = 1 THEN 1 ELSE 0 END) AS "1",
SUM (CASE WHEN tr.USER_TYPE = 2 THEN 1 ELSE 0 END) AS "2",
SUM (CASE WHEN tr.USER_TYPE = 3 THEN 1 ELSE 0 END) AS "3",
SUM (CASE WHEN tr.USER_TYPE = 5 THEN 1 ELSE 0 END) AS "5",
SUM (CASE WHEN tr.USER_TYPE IS NOT NULL THEN 1 ELSE 0 END) AS total,
tr.update_date --> newly added
FROM TRANSACTION_STATUS_CODES tsc
LEFT JOIN TRANSACTIONS tr
ON tsc.id = tr.status
AND tr.User_Type BETWEEN 1 AND 5
AND tr.status != 1
/* --> remove that filter
AND tr.update_date BETWEEN TO_DATE ('2022-01-01',
'yyyy-mm-dd HH24:MI:SS')
AND TO_DATE ('2023-01-04',
'yyyy-mm-dd HH24:MI:SS')
*/
LEFT JOIN TRANSACTION_USER_TYPES ut ON ut.id = tr.user_type
WHERE tsc.id != 1
GROUP BY tsc.id, tsc.description, tr.update_date --> added TR.UPDATE_DATE
I have a query which will fetch two rows only and I want to bring second row data into columns with different column name.
Below is the original query result.
The expected result is like
Expected result.
Please help how shd I proceed, not able to figure out with PIVOT.
Here's one option; see comments within code.
SQL> with
2 your_query (column1, column2, column3) as
3 -- this is what your current query returns
4 (select 1, 'ABC', 123 from dual union all
5 select 2, 'XYZ', 456 from dual
6 ),
7 temp as
8 -- distinguish 1st from 2nd row
9 (select y.*,
10 row_number() over (order by column1) rn
11 from your_query y
12 )
13 -- finally, cross join two rows and conditionally display columns.
14 -- MAX is here to avoid empty "cells"
15 select max(case when a.rn = 1 then a.column1 end) as col1,
16 max(case when a.rn = 1 then a.column2 end) as col2,
17 max(case when a.rn = 1 then a.column3 end) as col3,
18 --
19 max(case when b.rn = 2 then b.column1 end) as col4,
20 max(case when b.rn = 2 then b.column2 end) as col5,
21 max(case when b.rn = 2 then b.column3 end) as col6
22 from temp a cross join temp b;
COL1 COL COL3 COL4 COL COL6
---------- --- ---------- ---------- --- ----------
1 ABC 123 2 XYZ 456
SQL>
Currently, I have a table MY_TABLE like below:
ID ACCT_TYPE CREDIT_AMT DEBIT_AMT
-- --------- ---------- ---------
1 CDT_01 4 (null)
1 DBT_01 (null) 6
One ID can have multiple ACCT_TYPE like above, and each type has its own amount.
I want to just select the row which has ACCT_TYPE like 'CDT_%' but also the total_amount column which is the total of credit_amt and debit_amt column for the same ID.
My expected output like below:
ID ACCT_TYPE TOTAL_AMT
-- --------- ---------
1 CDT_01 10
I tried with this select statement below but it's no use, I think it's because of different ACCT_TYPE:
Select ID, ACCT_TYPE, SUM(NVL(CREDIT_AMT, 0) + NVL(DEBIT_AMT, 0)) TOTAL_AMT
FROM MY_TABLE WHERE ACCT_TYPE LIKE 'CDT_%' GROUP BY ID, ACCT_TYPE;
Here is the output of the select statement above:
ID ACCT_TYPE TOTAL_AMT
-- --------- ---------
1 CDT_01 4
I just begin to learn some query so I don't know is it really possible to get my expected output.
One way to do it is like below:
with inputs (ID, ACCT_TYPE, CREDIT_AMT, DEBIT_AMT) as
(
select 1, 'CDT_01', 4, null from dual union all
select 1, 'DBT_01', null, 6 from dual
),
prep as
(
select t.*, sum(nvl(credit_amt,0)) over (partition by id) + sum(nvl(debit_amt,0)) over (partition by id) as sum_per_id
from inputs t
)
select id, acct_type, sum_per_id
from prep
where acct_type like 'CDT_%';
Output:
A correlated subquery might be one option; sample data (thank you, #Ranagal) in lines #1 - 5; query that does the job begins at line #6.
SQL> with inputs (ID, ACCT_TYPE, CREDIT_AMT, DEBIT_AMT) as
2 (
3 select 1, 'CDT_01', 4, null from dual union all
4 select 1, 'DBT_01', null, 6 from dual
5 )
6 select a.id,
7 a.acct_type,
8 (select sum(nvl(b.credit_amt, 0)) +
9 sum(nvl(b.debit_amt , 0))
10 from inputs b
11 where b.id = a.id
12 ) total_amt
13 from inputs a
14 where acct_type like 'CDT%';
ID ACCT_T TOTAL_AMT
---------- ------ ----------
1 CDT_01 10
SQL>
I'm using sub-query factoring and I have a query that returns invoice lines, and in the end I have this final sub-query:
I've already tried Partition but without success
SELECT
COUNT(CASE WHEN PC <> 0 THEN 1 END) AS A_LINECOUNT,
SUM(CASE WHEN PC > 0 THEN NR ELSE 0 END) AS B_PRODUCTCOUNT,
COUNT(CASE WHEN ALLOW_PAY = 1 THEN 1 END) AS C_INVOICECOUNT, --- ERROR
SUM(CASE WHEN ALLOW_PAY = 1 THEN MISSING_VALUE ELSE 0 END) AS D_INVOICETOTAL, --- ERROR
COUNT(CASE WHEN IS_NON_LIQUIDABLE_PRODUCT = 1 THEN 1 END) AS E_CONDITIONCOUNT,
COUNT(CASE WHEN IS_LIQUIDABLE_PRODUCT = 1 THEN 1 END) AS F_CONDITIONCOUNT
FROM MAIN_Q
The calculation of C_INVOICECOUNT and D_INVOICETOTAL is not correct because their values are repeated within each line of the invoice. Please consider that um MAIN_Q i also have a document_id where i can group by.
thanks
Maybe I understood correctly, maybe not, but this is too long for comment. If yes, C_INVOICECOUNT can be count as:
count(distinct case when allow_pay = 1 then document_id end)
But the problem is with D_INVOICETOTAL. You have repeated values for each invoice here and details which do not repeat. If so, add row numbering to your query:
select main_q.*, row_number() over (partition by document_id) rn from main_q
and then in problematic places use rn = 1:
select ...
count(case when rn = 1 and allow_pay = 1 then 1 end),
sum(case when rn = 1 and allow_pay = 1 then missing_value else 0 end)
...
from (select main_q.*, row_number() over (partition by document_id) rn from main_q)
Only first rows for each invoice will be analysed. Of course you can add row_number in earlier step.
I read many articles which introduce the using of connect by, but all of them get the particular days from a giving parameter(almost the begin date and end date)
What I want to know is how could I get split the rows from a certain table?
Example
Table T1
StartDate EndDate T_ID
2017-06-01 2017-06-15 01
2017-06-05 2017-06-06 02
The result I want is
TargetDate T_ID
2017-06-01 01
2017-06-02 01
2017-06-03 01
2017-06-04 01
2017-06-05 01
.
.
.
.
2017-06-15 01
2017-06-06 01
2017-06-06 02
I tried
SELECT T_ID, T1.StartDate+ LEVEL - 1 DD, LEVEL
FROM T1
WHERE T1.T_ID in = '01'
CONNECT BY LEVEL <= (TO_DATE(TRUNC(T1.EndDate)) - T1.StartDate + 1 ) ;
Waiting for your solution. Thanks.
Test Data:
CREATE TABLE t1 ( t_id, startdate, enddate ) AS
SELECT 1, DATE '2017-06-01', DATE '2017-06-15' FROM DUAL UNION ALL
SELECT 2, DATE '2017-06-05', DATE '2017-06-06' FROM DUAL;
Query:
SELECT T_ID,
COLUMN_VALUE AS dt,
ROW_NUMBER() OVER ( PARTITION BY t1.ROWID
ORDER BY Column_value ) AS lvl
FROM T1
CROSS JOIN
TABLE(
CAST(
MUTLTSET(
SELECT t1.Startdate + LEVEL - 1
FROM DUAL
CONNECT BY t1.Startdate + LEVEL - 1 <= t1.EndDate
) AS SYS.ODCIDATELIST
)
);
Output:
T_ID DT LVL
---- ---------- ---
1 2017-06-01 1
1 2017-06-02 2
1 2017-06-03 3
1 2017-06-04 4
1 2017-06-05 5
1 2017-06-06 6
1 2017-06-07 7
1 2017-06-08 8
1 2017-06-09 9
1 2017-06-10 10
1 2017-06-11 11
1 2017-06-12 12
1 2017-06-13 13
1 2017-06-14 14
1 2017-06-15 15
2 2017-06-05 1
2 2017-06-06 2
Here is the query in standard SQL (with a recursive cte) which also works in Oracle:
with all_dates(targetdate, t_id, enddate) as
(
select startdate as targetdate, t_id, enddate from t1
union all
select targetdate + 1, t_id, enddate from all_dates where targetdate < enddate
)
select targetdate, t_id
from all_dates
order by t_id, targetdate;
SELECT DISTINCT T_ID
, T1.StartDate+ LEVEL - 1 DD
, LEVEL
FROM T1
WHERE T1.T_ID IN( 1,2)
CONNECT BY LEVEL <= T1.EndDate - T1.StartDate + 1
But I'm not sure about performances (At moment I didn't find a way to limit without DISTINCT but using CONNECT BY clauses).
As an alternative you can use a CTE like this (you can remove RN column, I left it as a check):
with all_dates(targetdate, t_id, enddate, RN) as
(
select startdate as targetdate, t_id, enddate, 1 AS RN from t1
union all
select T1.startdate + all_dates.RN, T1.t_id, T1.enddate, all_dates.RN+1 AS RN
from t1
inner JOIN all_dates ON T1.startdate+all_dates.RN<=all_dates.enddate
AND T1.T_ID = all_dates.T_ID
)
select targetdate, t_id , RN
from all_dates
order by t_id, targetdate;
Sample data:
CREATE TABLE T1 (StartDate DATE, EndDate DATE, T_ID NUMBER(10,0));
INSERT INTO T1 VALUES ('20170601','20170615', 1);
INSERT INTO T1 VALUES ('20170605','20170606', 2);
INSERT INTO T1 VALUES ('20170701','20170703', 3);
Output:
20170601 1 1
20170602 1 2
20170603 1 3
20170604 1 4
20170605 1 5
20170606 1 6
20170607 1 7
20170608 1 8
20170609 1 9
20170610 1 10
20170611 1 11
20170612 1 12
20170613 1 13
20170614 1 14
20170615 1 15
20170605 2 1
20170606 2 2
20170701 3 1
20170702 3 2
20170703 3 3
If you're wanting to use connect by to achieve this, you will need to add a couple of additional clauses in order to get it to work with multiple rows:
WITH t1 AS (SELECT to_date('01/06/2017', 'dd/mm/yyyy') startdate, to_date('15/06/2017', 'dd/mm/yyyy') enddate, 1 t_id FROM dual UNION ALL
SELECT to_date('05/06/2017', 'dd/mm/yyyy') startdate, to_date('06/06/2017', 'dd/mm/yyyy') enddate, 2 t_id FROM dual)
SELECT t_id,
startdate + LEVEL -1 dd
FROM t1
CONNECT BY LEVEL <= enddate - startdate + 1
AND PRIOR t_id = t_id
AND PRIOR sys_guid() IS NOT NULL
ORDER BY t_id, dd;
T_ID DD
---------- -----------
1 01/06/2017
1 02/06/2017
1 03/06/2017
1 04/06/2017
1 05/06/2017
1 06/06/2017
1 07/06/2017
1 08/06/2017
1 09/06/2017
1 10/06/2017
1 11/06/2017
1 12/06/2017
1 13/06/2017
1 14/06/2017
1 15/06/2017
2 05/06/2017
2 06/06/2017