Let's say I have a table with data ranges
create table ranges (id number, date_from date, date_to date);
insert into ranges values (1, to_date('01.01.2017', 'dd.mm.rrrr'), to_date('03.01.2017', 'dd.mm.rrrr'));
insert into ranges values (2, to_date('05.02.2017', 'dd.mm.rrrr'), to_date('08.02.2017', 'dd.mm.rrrr'));
and my output should by one row for every date in these ranges
id | the_date
----------------
1 | 01.01.2017
1 | 02.01.2017
1 | 03.01.2017
2 | 05.02.2017
2 | 06.02.2017
2 | 07.02.2017
2 | 08.02.2017
But connect by gives me ORA-01436 Connect by Loop
SELECT connect_by_root(id), Trunc(date_from, 'dd') + LEVEL - 1 AS the_date
FROM ranges
CONNECT BY PRIOR id = id AND Trunc(date_from, 'dd') + LEVEL - 1 <= Trunc(date_to, 'dd')
ORDER BY id, the_date
What's wrong?
You can add a call to a non-deterministic function, e.g.
AND PRIOR dbms_random.value IS NOT NULL
So it becomes:
SELECT connect_by_root(id), Trunc(date_from, 'dd') + LEVEL - 1 AS the_date
FROM ranges
CONNECT BY PRIOR id = id
AND PRIOR dbms_random.value IS NOT NULL
AND Trunc(date_from, 'dd') + LEVEL - 1 <= Trunc(date_to, 'dd')
ORDER BY id, the_date;
CONNECT_BY_ROOT(ID) THE_DATE
------------------- ---------
1 01-JAN-17
1 02-JAN-17
1 03-JAN-17
2 05-FEB-17
2 06-FEB-17
2 07-FEB-17
2 08-FEB-17
7 rows selected.
There's an explanation of why it is necessary in this Oracle Community post; that uses sys_guid() instead of dbms_random.value, but the principle is the same.
If you're on 11gR2 or higher you could use recursive subquery factoring instead:
WITH rcte (root_id, the_date, date_to) AS (
SELECT id, date_from, date_to
FROM ranges
UNION ALL
SELECT root_id, the_date + 1, date_to
FROM rcte
WHERE the_date < date_to
)
SELECT root_id, the_date
FROM rcte
ORDER BY root_id, the_date;
ROOT_ID THE_DATE
---------- ---------
1 01-JAN-17
1 02-JAN-17
1 03-JAN-17
2 05-FEB-17
2 06-FEB-17
2 07-FEB-17
2 08-FEB-17
7 rows selected.
Related
I am trying to add a column that assigns row numbers to each record
I made changes to the code to add the desired column
But I was getting duplicated row numbers. How do I get unique row numbers?
.
**Note: This code can be executed in the SQL editor like that. It needs no sample data**
select distinct trunc(GenerateTimeBy1Day,'day') as claim_eff_date, trunc(GenerateTimeBy1DayPlus20,'day') as bwe_to_completeby from
(
select from_dt + (level - 1)/1 as GenerateTimeBy1Day, (from_dt + (level - 1)/1) + 20 as GenerateTimeBy1DayPlus20
from (select from_dt
,to_dt
,to_dt - from_dt + 1 as days_between
from (select to_date('03-Jan-2021') as from_dt
, to_date('30-Jan-2021') as to_dt
from dual))
connect by (level - 1) <= days_between
)
order by claim_eff_date
I made these changes to the code to add the desired column
**Note: This code can be executed in the SQL editor like that. It needs no sample data**
select distinct trunc(GenerateTimeBy1Day,'day') as claim_eff_date, trunc(GenerateTimeBy1DayPlus20,'day') as bwe_to_completeby, row_number()
over (PARTITION BY trunc(GenerateTimeBy1Day,'day'), trunc(GenerateTimeBy1DayPlus20,'day') ORDER BY trunc(GenerateTimeBy1Day,'day')) as row_number from
(
select from_dt + (level - 1)/1 as GenerateTimeBy1Day, (from_dt + (level - 1)/1) + 20 as GenerateTimeBy1DayPlus20
from (select from_dt
,to_dt
,to_dt - from_dt + 1 as days_between
from (select to_date('03-Jan-2021') as from_dt
, to_date('30-Jan-2021') as to_dt
from dual))
connect by (level - 1) <= days_between
)
order by claim_eff_date
But I am getting
Row_Number
----------
1
1
2
3
4
5
6
1
1
2
3
How do I get unique row numbers?
Row_Number
----------
1
2
3
4
5
6
7
8
9
10
I'm not sure whet those dates represent, but - if query you initially wrote does the job, then use it as source for the final query which calculates row number:
SQL> alter session set nls_date_format = 'dd.mm.yyyy';
Session altered.
SQL> with your_query as (
2 select distinct trunc(GenerateTimeBy1Day,'day') as claim_eff_date,
3 trunc(GenerateTimeBy1DayPlus20,'day') as bwe_to_completeby
4 from
5 (
6 select from_dt + (level - 1)/1 as GenerateTimeBy1Day, (from_dt + (level - 1)/1) + 20 as GenerateTimeBy1DayPlus20
7 from (select from_dt
8 ,to_dt
9 ,to_dt - from_dt + 1 as days_between
10 from (select date '2021-01-03' as from_dt
11 , date '2021-01-30' as to_dt
12 from dual))
13 connect by (level - 1) <= days_between
14 ))
15 select claim_eff_date,
16 bwe_to_completeby,
17 row_number() over (order by claim_eff_date) rn
18 from your_query
19 order by claim_eff_date;
CLAIM_EFF_ BWE_TO_COM RN
---------- ---------- ----------
28.12.2020 18.01.2021 1
04.01.2021 25.01.2021 2
04.01.2021 18.01.2021 3
11.01.2021 01.02.2021 4
11.01.2021 25.01.2021 5
18.01.2021 08.02.2021 6
18.01.2021 01.02.2021 7
25.01.2021 08.02.2021 8
25.01.2021 15.02.2021 9
9 rows selected.
SQL>
By the way, this is what you wrote: to_date('03-Jan-2021'). That's wrong. TO_DATE applied to a string without date format mask relies on Oracle's capabilities to guess what you meant to say. Besides, that won't even work in my database, although you said
This code can be executed in the SQL editor
My database speaks Croatian and there's no month like Jan.
Safer option is to
apply format mask: to_date('03-Jan-2021', 'dd-mon-yyyy', 'nls_date_language = english')
or, use date literal (like I did): date '2021-01-03' which ALWAYS has date keyword and date in yyyy-mm-dd format, so there's no ambiguity
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 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
I have a simple table with values (ID) in groups (GRP_ID).
create table tst as
select 1 grp_id, 1 id from dual union all
select 1 grp_id, 1 id from dual union all
select 1 grp_id, 2 id from dual union all
select 2 grp_id, 1 id from dual union all
select 2 grp_id, 2 id from dual union all
select 2 grp_id, 2 id from dual union all
select 3 grp_id, 3 id from dual;
It is straightforward to find a maximum value per group using analytical functions.
select grp_id, id,
max(id) over (partition by grp_id) max_grp
from tst
order by 1,2;
GRP_ID ID MAX_GRP
---------- ---------- ----------
1 1 2
1 1 2
1 2 2
2 1 2
2 2 2
2 2 2
3 3 3
But the goal is to find the maximum value excluding the value of the current row.
This is the expected result (column MAX_OTHER_ID):
GRP_ID ID MAX_GRP MAX_OTHER_ID
---------- ---------- ---------- ------------
1 1 2 2
1 1 2 2
1 2 2 1
2 1 2 2
2 2 2 2
2 2 2 2
3 3 3
Note that in the GRP_ID = 2 a tie on the MAX value exists, so the MAX_OTHER_ID remains the same.
I did manage this two step solution, but I'm wondering if there is a more straightforward and simple solution.
with max1 as (
select grp_id, id,
row_number() over (partition by grp_id order by id desc) rn
from tst
)
select GRP_ID, ID,
case when rn = 1 /* MAX row per group */ then
max(decode(rn,1,to_number(null),id)) over (partition by grp_id)
else
max(id) over (partition by grp_id)
end as max_other_id
from max1
order by 1,2
;
I wish the window functions supported multiple range specifications something like:
max(id) over (
partition by grp_id
order by id
range between unbounded preceding and 1 preceding
or range between 1 following and unbounded following
)
But unfortunately they don't.
As a workaround, you can avoid subqueries and CTEs using the function twice on the different ranges and call coalesce on that.
select grp_id,
id,
coalesce(
max(id) over (
partition by grp_id
order by id
range between 1 following and unbounded following
)
, max(id) over (
partition by grp_id
order by id
range between unbounded preceding and 1 preceding
)
) max_grp
from tst
order by 1,
2
Coalesce works out of the box because of the ordering clause as the result of the window function call will be either the max in the given window or a null value.
Demo - http://rextester.com/SDXVF13962
SELECT GRP_ID,ID, (SELECT Max(ID) FROM TEST A WHERE A.ROWID<>B.ROWID AND A.GRP_ID=B.GRP_ID) maX_ID FROM TEST B;
Got the expected result with Co-Related Query ! Hope this helps .
i have below data.
table A
id
1
2
3
table B
id name data1 data2 datetime
1 cash 12345.00 12/12/2012 11:10:12
1 quantity 222.12 14/12/2012 11:10:12
1 date 20/12/2012 12/12/2012 11:10:12
1 date 19/12/2012 13/12/2012 11:10:12
1 date 13/12/2012 14/12/2012 11:10:12
1 quantity 330.10 17/12/2012 11:10:12
I want to retrieve data in one row like below:
tableA.id tableB.cash tableB.date tableB.quantity
1 12345.00 13/12/2012 330.10
I want to retrieve based on max(datetime).
The data model appears to be insane-- it makes no sense to join an ORDER_ID to a CUSTOMER_ID. It makes no sense to store dates in a VARCHAR2 column. It makes no sense to have no relationship between a CUSTOMER and an ORDER. It makes no sense to have two rows in the ORDER table with the same ORDER_ID. ORDER is also a reserved word so you cannot use that as a table name. My best guess is that you want something like
select *
from customer c
join (select order_id,
rank() over (partition by order_id
order by to_date( order_time, 'YYYYMMDD HH24:MI:SS' ) desc ) rnk
from order) o on (c.customer_id=o.order_id)
where o.rnk = 1
If that is not what you want, please (as I asked a few times in the comments) post the expected output.
These are the results I get with my query and your sample data (fixing the name of the ORDER table so that it is actually valid)
SQL> ed
Wrote file afiedt.buf
1 with orders as (
2 select 1 order_id, 'iphone' order_name, '20121201 12:20:23' order_time from dual union all
3 select 1, 'iphone', '20121201 12:22:23' from dual union all
4 select 2, 'nokia', '20110101 13:20:20' from dual ),
5 customer as (
6 select 1 customer_id, 'paul' customer_name from dual union all
7 select 2, 'stuart' from dual union all
8 select 3, 'mike' from dual
9 )
10 select *
11 from customer c
12 join (select order_id,
13 rank() over (partition by order_id
14 order by to_date( order_time, 'YYYYMMDD HH24:MI:SS' ) desc ) rnk
15 from orders) o on (c.customer_id=o.order_id)
16* where o.rnk = 1
SQL> /
CUSTOMER_ID CUSTOM ORDER_ID RNK
----------- ------ ---------- ----------
1 paul 1 1
2 stuart 2 1
Try something like
SELECT *
FROM CUSTOMER c
INNER JOIN ORDER o
ON (o.CUSTOMER_ID = c.CUSTOMER_ID)
WHERE TO_DATE(o.ORDER_TIME, 'YYYYMMDD HH24:MI:SS') =
(SELECT MAX(TO_DATE(o.ORDER_TIME, 'YYYYMMDD HH24:MI:SS')) FROM ORDER)
Share and enjoy.