Assume we have exampleDB and select contractdate like
SELECT DB.contractdate
FROM exampleDB DB
contractdate
2014/12/1
2015/12/1
2016/12/1
2017/12/1
2018/12/1
2019/12/1
I would like to count the policy number at each time like
each time policy count
2014/1/1 0
2015/1/1 1
2016/1/1 2
2017/1/1 3
2018/1/1 4
2019/1/1 5
I tried
WHERE DB.contractdate <='2014/1/1';
But I must loop such code manually.
How can I loop?
If the binning is every month,it is very stressful process.
can they be combined into one?
Best regards
select contractdate as "each time",
count(*) as "policy count"
from exampleDB
where contractdate in (mention all dates you want)
group by contractdate
Hope this will help you.
you can use row_num() and trunc() to get 1st day of the month
SELECT TRUNC(DB.contractdate, 'MONTH'), row_number() over (order by DB.contractdate) -1 as policy_count
FROM exampleDB DB
You can use COUNT analytical function with RANGE operator as follows:
SQL> with dataa(contractdate) as
2 (
3 select date '2014-12-01' from dual union all
4 select date '2015-12-01' from dual union all
5 select date '2016-12-01' from dual union all
6 select date '2017-12-01' from dual union all
7 select date '2018-12-01' from dual union all
8 select date '2019-12-01' from dual
9 )
10 SELECT
11 TRUNC(CONTRACTDATE, 'year') as "each time",
12 COUNT(1) OVER(
13 ORDER BY
14 CONTRACTDATE DESC
15 RANGE BETWEEN 1 FOLLOWING AND UNBOUNDED FOLLOWING
16 ) as "policy count"
17 FROM
18 DATAA order by 1;
each time policy count
--------- ------------
01-JAN-14 0
01-JAN-15 1
01-JAN-16 2
01-JAN-17 3
01-JAN-18 4
01-JAN-19 5
6 rows selected.
SQL>
Cheers!!
Related
Here is the data I'm working with here
Accountid
Month
123
08/01/2021
123
09/01/2021
123
03/01/2022
123
04/01/2022
123
05/01/2022
123
06/01/2022
I'm trying to insert into a new table where the data is like this
Accountid
Start Month
End Month
123
08/01/2021
09/01/2021
123
03/01/2022
06/01/2022
I'm not sure how to separate them with the gap, and group by the account id in this case.
Thanks in advance
In 12c+ you may also use match_recognize for gaps-and-islands problems to define grouping rules (islands) in a more readable and natural way.
select *
from input_
match_recognize(
partition by accountid
order by month asc
measures
first(month) as start_month,
last(month) as end_month
/*Any month followed by any number of subsequent month */
pattern(any_ next*)
define
/*Next is the month right after the previous one*/
next as months_between(month, prev(month)) = 1
)
ACCOUNTID
START_MONTH
END_MONTH
123
2021-08-01
2021-09-01
123
2022-03-01
2022-06-01
db<>fiddle here
That's a gaps and islands problem; one option to do it is:
Sample data:
SQL> with test (accountid, month) as
2 (select 123, date '2021-01-08' from dual union all
3 select 123, date '2021-01-09' from dual union all
4 select 123, date '2021-01-03' from dual union all
5 select 123, date '2021-01-04' from dual union all
6 select 123, date '2021-01-05' from dual union all
7 select 123, date '2021-01-06' from dual
8 ),
Query begins here:
9 temp as
10 (select accountid, month,
11 to_char(month, 'J') - row_number() Over
12 (partition by accountid order by month) diff
13 from test
14 )
15 select accountid,
16 min(month) as start_month,
17 max(month) as end_Month
18 from temp
19 group by accountid, diff
20 order by accountid, start_month;
ACCOUNTID START_MONT END_MONTH
---------- ---------- ----------
123 03/01/2021 06/01/2021
123 08/01/2021 09/01/2021
SQL>
Although related to MS SQL Server, have a look at Introduction to Gaps and Islands Analysis; should be interesting reading for you, I presume.
I'm working with Oracle and I have a table with a column of type TIMESTAMP. I was wondering how can I extract the records from last 4 weeks of activity on the database, partitioned by week.
Following rows are inserted on week 1
kc 2 04-10-2021
vc 3 06-10-2021
vk 4 07-10-2021
Following rows are inserted on week2
cv 1 12-10-2021
ck 5 14-10-2021
Following rows are inserted on week3
vv 7 19-10-2021
Following rows are inserted on week4
vx 7 29-10-2021
Table now has
SQL>select * from tab;
NAME VALUE TIMESTAMP
-------------------- ----------
kc 2 04-10-2021
vc 3 06-10-2021
vk 4 07-10-2021
cv 1 12-10-2021
ck 5 14-10-2021
vv 7 19-10-2021
vx 7 29-10-2021
I would like a query which would give me the number of rows added each week, in the last 4 weeks.
This is what I would like to see
numofrows week
--------- -----
3 1
2 2
1 3
1 4
One option is to use to_char function and its iw parameter:
SQL> with test (name, datum) as
2 (select 'kc', date '2021-10-04' from dual union all
3 select 'vc', date '2021-10-06' from dual union all
4 select 'vk', date '2021-10-07' from dual union all
5 select 'cv', date '2021-10-12' from dual union all
6 select 'ck', date '2021-10-14' from dual union all
7 select 'vv', date '2021-10-19' from dual union all
8 select 'vx', DATE '2021-10-29' from dual
9 )
10 select to_char(datum, 'iw') week,
11 count(*)
12 from test
13 where datum >= add_months(sysdate, -1) --> the last month
14 group by to_char(datum, 'iw');
WE COUNT(*)
-- ----------
42 1
43 1
40 3
41 2
SQL>
Line #13: I intentionally used "one month" instead of "4 weeks" as I thought (maybe wrongly) that you, actually, want that (you know, "a month has 4 weeks" - not exactly, but close, sometimes not close enough).
If you want 4 weeks, what is that, then? Sysdate minus 28 days (as every week has 7 days)? Then you'd modify line #13 to
where datum >= trunc(sysdate - 4*7)
Or, maybe it is really the last 4 weeks:
SQL> with test (name, datum) as
2 (select 'kc', date '2021-10-04' from dual union all
3 select 'vc', date '2021-10-06' from dual union all
4 select 'vk', date '2021-10-07' from dual union all
5 select 'cv', date '2021-10-12' from dual union all
6 select 'ck', date '2021-10-14' from dual union all
7 select 'vv', date '2021-10-19' from dual union all
8 select 'vx', DATE '2021-10-29' from dual
9 ),
10 temp as
11 (select to_char(datum, 'iw') week,
12 count(*) cnt,
13 row_number() over (order by to_char(datum, 'iw') desc) rn
14 from test
15 group by to_char(datum, 'iw')
16 )
17 select week, cnt
18 from temp
19 where rn <= 4
20 order by week;
WE CNT
-- ----------
40 3
41 2
42 1
43 1
SQL>
Now you have several options, see which one fits the best (if any).
I "simulated" missing data (see TEST CTE), created a calendar (calend) and ... did the job. Read comments within code:
SQL> with test (name, datum) as
2 -- sample data
3 (select 'vv', date '2021-10-19' from dual union all
4 select 'vx', DATE '2021-10-29' from dual
5 ),
6 calend as
7 -- the last 31 days; 4 weeks are included, obviously
8 (select max_datum - level + 1 datum
9 from (select max(a.datum) max_datum from test a)
10 connect by level <= 31
11 ),
12 joined as
13 -- joined TEST and CALEND data
14 (select to_char(c.datum, 'iw') week,
15 t.name
16 from calend c left join test t on t.datum = c.datum
17 ),
18 last4 as
19 -- last 4 weeks
20 (select week, count(name) cnt,
21 row_number() over (order by week desc) rn
22 from joined
23 group by week
24 )
25 select week, cnt
26 from last4
27 where rn <= 4
28 order by week;
WE CNT
-- ----------
40 0
41 0
42 1
43 1
SQL>
This is my first post, so I hope I've posted this one correctly.
My problem:
I want to count the number of active customers per day, the last 30 days.
What I have so far:
In the first column I want to print today, and the last 29 days. This I have done with
select distinct trunc(sysdate-dayincrement, 'DD') AS DATES
from (
select level as dayincrement
from dual
connect by level <= 30
)
I've picked it up here at stackoverflow, and it works perfectly. I can even extend the number of days returned to ex. 365 days. Perfect!
I also have a table that looks like this
|Cust# | Start date | End date |
| 1000 | 01.01.2015 | 31.12.2015|
| 1001 | 02.01.2015 | 31.12.2016|
| 1002 | 02.01.2015 | 31.03.2015|
| 1003 | 03.01.2015 | 31.08.2015|
This is where I feel the problem starts
I would like to get this result:
| Dates | # of cust |
|04.01.2015| 4 |
|03.01.2015| 4 |
|02.01.2015| 3 |
|01.01.2015| 1 |
Here the query would count 1 if:
Start date <= DATES
End date >= DATES
Else count 0.
I just don't know how to structure the query.
I tried this, but it didn't work.
count(
IF ENDDATE <= DATES THEN
IF STARTDATE >= DATES THEN 1 ELSE 0 END IF
ELSE
0
END IF
) AS CUST
Any ideas?
The following produces the results you're looking for. I had change the date generator to start on 04-JAN-2015 instead of SYSDATE (which is, of course, in the year 2016), and to use LEVEL-1 to include 'current' day:
WITH CUSTS AS (SELECT 1000 AS CUST_NO, TO_DATE('01-JAN-2015', 'DD-MON-YYYY') AS START_DATE, TO_DATE('31-DEC-2015', 'DD-MON-YYYY') AS END_DATE FROM DUAL UNION ALL
SELECT 1001 AS CUST_NO, TO_DATE('02-JAN-2015', 'DD-MON-YYYY') AS START_DATE, TO_DATE('31-DEC-2016', 'DD-MON-YYYY') AS END_DATE FROM DUAL UNION ALL
SELECT 1002 AS CUST_NO, TO_DATE('02-JAN-2015', 'DD-MON-YYYY') AS START_DATE, TO_DATE('31-MAR-2015', 'DD-MON-YYYY') AS END_DATE FROM DUAL UNION ALL
SELECT 1003 AS CUST_NO, TO_DATE('03-JAN-2015', 'DD-MON-YYYY') AS START_DATE, TO_DATE('31-AUG-2015', 'DD-MON-YYYY') AS END_DATE FROM DUAL ),
DATES AS (SELECT DISTINCT TRUNC(TO_DATE('04-JAN-2015', 'DD-MON-YYYY') - DAYINCREMENT, 'DD') AS DT
FROM (SELECT LEVEL-1 AS DAYINCREMENT
FROM DUAL
CONNECT BY LEVEL <= 30))
SELECT d.DT, COUNT(*)
FROM CUSTS c
CROSS JOIN DATES d
WHERE d.DT BETWEEN c.START_DATE AND c.END_DATE
GROUP BY d.DT
ORDER BY DT DESC
Best of luck.
You could write a CASE expression equivalent to your IF-ELSE construct.
For example,
SQL> SELECT COUNT(
2 CASE
3 WHEN hiredate <= sysdate
4 THEN 1
5 ELSE 0
6 END ) AS CUST
7 FROM emp;
CUST
----------
14
SQL>
However, looking at your desired output, it seems, you just need to use COUNT and GROUP BY. The date conditions should be in the filter predicate.
For example,
SELECT dates, COUNT(*)
FROM table_name
WHERE dates BETWEEN start_date AND end_date
GROUP BY dates;
I want to make a query, which shows the progress of the number of users on my webpage by week.
I use following query to run the users database and get the number, grouped by a week:
SELECT TRUNC(FAB.LICENSE_DATE, 'IW'),
COUNT(DISTINCT FAB.STATEMENT_NUMBER) AS "Number of account statements"
FROM USERS FAB
GROUP BY TRUNC(FAB.LAST_UPDATED_TIME, 'IW');
This gives following output:
Date | Users
----------------------
2015/09/07 | 5
2015/09/14 | 4
2015/09/21 | 6
But this is actually not what I want to achieve. I want to have the following output:
Date | Users
----------------------
2015/09/07 | 5
2015/09/14 | 9 (5 + 4)
2015/09/21 | 15 (5 + 4 + 6)
How to modify the query so I get all the results?
SQL Fiddle
Oracle 11g R2 Schema Setup:
CREATE TABLE USERS (
LICENSE_DATE,
LAST_UPDATED_TIME,
STATEMENT_NUMBER
) AS
SELECT DATE '2015-09-07', DATE '2015-09-07', 1 FROM DUAL
UNION ALL SELECT DATE '2015-09-08', DATE '2015-09-08', 2 FROM DUAL
UNION ALL SELECT DATE '2015-09-08', DATE '2015-09-08', 3 FROM DUAL
UNION ALL SELECT DATE '2015-09-09', DATE '2015-09-09', 4 FROM DUAL
UNION ALL SELECT DATE '2015-09-12', DATE '2015-09-12', 5 FROM DUAL
UNION ALL SELECT DATE '2015-09-14', DATE '2015-09-15', 6 FROM DUAL
UNION ALL SELECT DATE '2015-09-15', DATE '2015-09-16', 7 FROM DUAL
UNION ALL SELECT DATE '2015-09-16', DATE '2015-09-16', 8 FROM DUAL
UNION ALL SELECT DATE '2015-09-17', DATE '2015-09-18', 9 FROM DUAL
UNION ALL SELECT DATE '2015-09-21', DATE '2015-09-21', 10 FROM DUAL
UNION ALL SELECT DATE '2015-09-21', DATE '2015-09-26', 11 FROM DUAL
UNION ALL SELECT DATE '2015-09-22', DATE '2015-09-22', 12 FROM DUAL
UNION ALL SELECT DATE '2015-09-23', DATE '2015-09-25', 13 FROM DUAL
UNION ALL SELECT DATE '2015-09-24', DATE '2015-09-24', 14 FROM DUAL
UNION ALL SELECT DATE '2015-09-27', DATE '2015-09-27', 15 FROM DUAL;
Query 1:
SELECT LAST_UPDATED_WEEK,
SUM( NUM_STATEMENTS ) OVER ( ORDER BY LAST_UPDATED_WEEK ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) AS "Number of account statements"
FROM (
SELECT TRUNC(LAST_UPDATED_TIME, 'IW') AS LAST_UPDATED_WEEK,
COUNT(DISTINCT STATEMENT_NUMBER) AS NUM_STATEMENTS
FROM USERS
GROUP BY
TRUNC( LAST_UPDATED_TIME, 'IW')
)
Results:
| LAST_UPDATED_WEEK | Number of account statements |
|-----------------------------|------------------------------|
| September, 07 2015 00:00:00 | 5 |
| September, 14 2015 00:00:00 | 9 |
| September, 21 2015 00:00:00 | 15 |
SELECT TRUNC(FAB.LICENSE_DATE, 'IW'),
SUM(COUNT(DISTINCT FAB.STATEMENT_NUMBER)) OVER (ORDER BY TRUNC(FAB.LAST_UPDATED_TIME, 'IW')) as "Number of account statements"
FROM USERS FAB
GROUP BY TRUNC(FAB.LAST_UPDATED_TIME, 'IW');
You can use this code block for your problem :
select u.date
,(select sum(u1.users)
from users u1
where u1.ddate <= u.date) as users
from users u;
It gives this output :
07.09.2015 5
14.09.2015 9
21.09.2015 15
Good luck
Hello you can try this code too.
WITH t1 AS
( SELECT to_date('01/01/2015','mm/dd/yyyy') rn, 5 usrs FROM dual
UNION ALL
SELECT to_date('02/01/2015','mm/dd/yyyy') rn, 4 usrs FROM dual
UNION ALL
SELECT to_date('03/01/2015','mm/dd/yyyy') rn, 8 usrs FROM dual
UNION ALL
SELECT to_date('04/01/2015','mm/dd/yyyy') rn, 2 usrs FROM dual
)
SELECT rn,
usrs,
sum(usrs) over (order by rn ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) cumm_usrs
FROM t1
GROUP BY rn,
usrs;
I am attempting to write Oracle SQL.
I am looking for solution something similar. Please find below data I have
start_date end_date customer
01-01-2012 31-06-2012 a
01-01-2012 31-01-2012 b
01-02-2012 31-03-2012 c
I want the count of customer in that date period. My result should look like below
Month : Customer Count
JAN-12 : 2
FEB-12 : 2
MAR-12 : 2
APR-12 : 1
MAY-12 : 1
JUN-12 : 1
One option would be to generate the months separately in another query and join that to your data table (note that I'm assuming that you intended customer A to have an end-date of June 30, 2012 since there is no June 31).
SQL> ed
Wrote file afiedt.buf
1 with mnths as(
2 select add_months( date '2012-01-01', level - 1 ) mnth
3 from dual
4 connect by level <= 6 ),
5 data as (
6 select date '2012-01-01' start_date, date '2012-06-30' end_date, 'a' customer from dual union all
7 select date '2012-01-01', date '2012-01-31', 'b' from dual union all
8 select date '2012-02-01', date '2012-03-31', 'c' from dual
9 )
10 select mnths.mnth, count(*)
11 from data,
12 mnths
13 where mnths.mnth between data.start_date and data.end_date
14 group by mnths.mnth
15* order by mnths.mnth
SQL> /
MNTH COUNT(*)
--------- ----------
01-JAN-12 2
01-FEB-12 2
01-MAR-12 2
01-APR-12 1
01-MAY-12 1
01-JUN-12 1
6 rows selected.
WITH TMP(monthyear,start_date,end_date,customer) AS (
select LAST_DAY(start_date),
CAST(ADD_MONTHS(start_date, 1) AS DATE),
end_date,
customer
from data
union all
select LAST_DAY(start_date),
CAST(ADD_MONTHS(start_date, 1) AS DATE),
end_date,
customer
from TMP
where LAST_DAY(end_date) >= LAST_DAY(start_date)
)
SELECT TO_CHAR(MonthYear, 'MON-YY') TheMonth,
Count(Customer) Customers
FROM TMP
GROUP BY MonthYear
ORDER BY MonthYear;
SQLFiddle