calling many table in one query based on week - sql
if there are multiple tables with the same contents like this:
table one:
CustomerID
CustTrans
Weeks
C001
2022-09-03
36
C002
2022-09-02
36
C003
2022-09-03
36
C004
2022-09-02
36
C002
2022-09-08
37
C001
2022-09-05
37
C002
2022-09-11
38
C002
2022-09-23
39
C004
2022-09-19
39
C001
2022-09-18
39
C003
2022-09-26
40
C005
2022-09-17
38
C006
2022-09-25
40
C001
2022-09-25
40
table 2:
CustomerID
CustTrans
Weeks
C001
2022-09-03
36
C002
2022-09-02
36
C003
2022-09-03
36
C004
2022-09-02
36
C002
2022-09-08
37
C001
2022-09-05
37
C002
2022-09-11
38
C002
2022-09-23
39
C004
2022-09-19
39
C001
2022-09-18
39
C003
2022-09-26
40
C005
2022-09-17
38
C006
2022-09-25
40
C001
2022-09-25
40
table 3
CustomerID
CustTrans
Weeks
C001
2022-09-03
36
C002
2022-09-02
36
C003
2022-09-03
36
C004
2022-09-02
36
C002
2022-09-08
37
C001
2022-09-05
37
C002
2022-09-11
38
C002
2022-09-23
39
C004
2022-09-19
39
C001
2022-09-18
39
C003
2022-09-26
40
C005
2022-09-17
38
C006
2022-09-25
40
C001
2022-09-25
40
it's possible to make many table in just single table?
this is my query
CREATE DATABASE manydata;
CREATE TABLE trydata1
(
CustomerID CHAR(7) not null,
CustTrans date,
CustSales int,
)
insert into trydata1(CustomerID,CustSales,CustTrans)
values('C001',34,'2022-09-03'),('C002',23,'2022-09-02'),('C003',132,'2022-09-03'),
('C004',95,'2022-09-02'),('C002',68,'2022-09-08'),('C001',54,'2022-09-05'),
('C002',34,'2022-09-11'),('C002',98,'2022-09-23'),('C004',34,'2022-09-19'),
('C001',30,'2022-09-18'),('C003',34,'2022-09-26'),('C005',34,'2022-09-17'),
('C006',34,'2022-09-25'),('C001',34,'2022-09-25');
CREATE TABLE trydata2
(
CustomerID CHAR(7) not null,
CustTrans date,
CustSales int,
)
insert into trydata2(CustomerID,CustSales,CustTrans)
values('C001',34,'2022-09-03'),('C002',23,'2022-09-02'),('C003',132,'2022-09-03'),
('C004',95,'2022-09-02'),('C002',68,'2022-09-08'),('C001',54,'2022-09-05'),
('C002',34,'2022-09-11'),('C002',98,'2022-09-23'),('C004',34,'2022-09-19'),
('C001',30,'2022-09-18'),('C003',34,'2022-09-26'),('C005',34,'2022-09-17'),
('C006',34,'2022-09-25'),('C001',34,'2022-09-25');
CREATE TABLE trydata3
(
CustomerID CHAR(7) not null,
CustTrans date,
CustSales int,
)
insert into trydata3(CustomerID,CustSales,CustTrans)
values('C001',34,'2022-09-03'),('C002',23,'2022-09-02'),('C003',132,'2022-09-03'),
('C004',95,'2022-09-02'),('C002',68,'2022-09-08'),('C001',54,'2022-09-05'),
('C002',34,'2022-09-11'),('C002',98,'2022-09-23'),('C004',34,'2022-09-19'),
('C001',30,'2022-09-18'),('C003',34,'2022-09-26'),('C005',34,'2022-09-17'),
('C006',34,'2022-09-25'),('C001',34,'2022-09-25');
You seem to be looking for UNION or UNION ALL.
select *
from
(
select * from table1
union all
select * from table2
union all
select * from table3
) t
where ...;
According to your sample data, this gets you duplicates, as some entries exist in more than one table. If you want to remove the duplicates, use UNION instead of UNION ALL.
Related
create a new column contains ISO week postgresql
I have table like this: CustomerID Trans_date C001 01-sep-22 C001 04-sep-22 C001 14-sep-22 C002 03-sep-22 C002 01-sep-22 C002 18-sep-22 C002 20-sep-22 C003 02-sep-22 C003 28-sep-22 C004 08-sep-22 C004 18-sep-22 I would make a new column consist ISO week CustomerID Trans_date Week_ISO C001 01-sep-22 35 C001 04-sep-22 35 C001 14-sep-22 35 C002 03-sep-22 35 C002 01-sep-22 35 C002 18-sep-22 35 C002 20-sep-22 35 C003 02-sep-22 35 C003 28-sep-22 35 C004 08-sep-22 36 C004 18-sep-22 36 But i can't make because there's not have datepart
You can define a view instead of altering the original table. Use extract or date_part.
create or replace view the_view as
select customerid, trans_date,
extract('week' from trans_date) week_iso
from the_table;
DB-fiddle
Weekly cohorts of subscribers retention
My analysis subjects remind Netflix subscribers. Users subscribe on a certain date (e.g. 2021-04-25) and unsubscribe on another date (e.g. e.g. 2022-01-15) or null if user is still subscribed: user_id subscription_start subscription_end 1231 2021-03-24 2021-04-07 1232 2021-05-06 2021-05-26 1234 2021-05-28 null 1235 2021-05-30 2021-06-19 1236 2021-06-01 2021-07-07 1237 2021-06-24 2021-07-09 1238 2021-07-06 null 1239 2021-08-14 null 1240 2021-09-12 null How could I using SQL extract the weekly cohort data of user retention. E.g. 2021-03-22 (Monday) - 2021-03-28 (Sunday) is first cohort which had a single subscriber on 2021-03-24. This user stayed with the service until 2021-04-07, that is for 3 weekly cohorts and should be displayed as active on 1, 2 and 3rd week. The end result should look like (dummy data): Subscribed Week 1 Week2 Week 3 Week 4 Week 5 Week 6 2021-03-22 100 98 97 82 72 53 21 2021-03-29 100 97 88 88 76 44 22 2021-04-05 100 87 86 86 86 83 81 2021-04-12 100 100 100 99 98 97 96 2021-04-19 100 100 99 89 79 79 79
pandas: filter rows having max value per category
Starting out with data like this:
np.random.seed(314)
df = pd.DataFrame({
'date':[pd.date_range('2016-04-01', '2016-04-05')[r] for r in np.random.randint(0,5,20)],
'cat':['ABCD'[r] for r in np.random.randint(0,4,20)],
'count': np.random.randint(0,100,20)
})
cat count date
0 B 87 2016-04-04
1 A 95 2016-04-05
2 D 89 2016-04-02
3 D 39 2016-04-05
4 A 39 2016-04-01
5 C 61 2016-04-05
6 C 58 2016-04-04
7 B 49 2016-04-03
8 D 20 2016-04-02
9 B 54 2016-04-01
10 B 87 2016-04-01
11 D 36 2016-04-05
12 C 13 2016-04-05
13 A 79 2016-04-04
14 B 91 2016-04-03
15 C 83 2016-04-05
16 C 85 2016-04-05
17 D 93 2016-04-01
18 C 85 2016-04-02
19 B 91 2016-04-03
I'd like to end up with only the rows where count is the maximum value in the corresponding cat:
cat count date
1 A 95 2016-04-05
14 B 91 2016-04-03
16 C 85 2016-04-05
17 D 93 2016-04-01
18 C 85 2016-04-02
19 B 91 2016-04-03
Note that can be multiple records with the max count per category
Using transform
df[df['count']==df.groupby('cat')['count'].transform('max')]
Out[163]:
cat count date
1 A 95 2016-04-05
14 B 91 2016-04-03
16 C 85 2016-04-05
17 D 93 2016-04-01
18 C 85 2016-04-02
19 B 91 2016-04-03
MSSQL MAX returns all results?
I have tried the following query to return the highest P.Maxvalue for each ME.Name from the last day between 06:00 and 18:00: SELECT MAX(P.MaxValue) AS Value,P.DateTime,ME.Name AS ID FROM vManagedEntity AS ME INNER JOIN Perf.vPerfHourly AS P ON ME.ManagedEntityRowId = P.ManagedEntityRowId INNER JOIN vPerformanceRuleInstance AS PRI ON P.PerformanceRuleInstanceRowId = PRI.PerformanceRuleInstanceRowId INNER JOIN vPerformanceRule AS PR ON PRI.RuleRowId = PR.RuleRowId WHERE (ME.ManagedEntityTypeRowId = 2546) AND (pr.ObjectName = 'VMGuest-cpu') AND (pr.CounterName LIKE 'cpuUsageMHz') AND (CAST(p.DateTime as time) >= '06:00:00' AND CAST(p.DateTime as time) <='18:00:00') AND (p.DateTime > DATEADD(day, - 1, getutcdate())) group by ME.Name,P.DateTime ORDER by id but it seems to return each MaxValue for each ID instead of the highest? like: Value DateTime ID 55 2018-02-19 12:00:00.000 bob:vm-100736 51 2018-02-19 13:00:00.000 bob:vm-100736 53 2018-02-19 14:00:00.000 bob:vm-100736 52 2018-02-19 15:00:00.000 bob:vm-100736 52 2018-02-19 16:00:00.000 bob:vm-100736 51 2018-02-19 17:00:00.000 bob:vm-100736 54 2018-02-19 18:00:00.000 bob:vm-100736 51 2018-02-20 06:00:00.000 bob:vm-100736 51 2018-02-20 07:00:00.000 bob:vm-100736 53 2018-02-20 08:00:00.000 bob:vm-100736 52 2018-02-20 09:00:00.000 bob:vm-100736 78 2018-02-19 12:00:00.000 bob:vm-101 82 2018-02-19 13:00:00.000 bob:vm-101 79 2018-02-19 14:00:00.000 bob:vm-101 78 2018-02-19 15:00:00.000 bob:vm-101 79 2018-02-19 16:00:00.000 bob:vm-101 77 2018-02-19 17:00:00.000 bob:vm-101 82 2018-02-19 18:00:00.000 bob:vm-101 82 2018-02-20 06:00:00.000 bob:vm-101 79 2018-02-20 07:00:00.000 bob:vm-101 81 2018-02-20 08:00:00.000 bob:vm-101 82 2018-02-20 09:00:00.000 bob:vm-101 155 2018-02-19 12:00:00.000 bob:vm-104432 there is one value per hour for each id hence twelve results for each id does MAX not work in this way i want ? Thanks expected view like this : Value DateTime ID 55 2018-02-19 12:00:00.000 bob:vm-100736 82 2018-02-19 13:00:00.000 bob:vm-101 etc
If you're using group by on datetime and id, you'll get all datetimes and all ids, it's that simple. If you don't need exact time, you can group by date only: SELECT MAX(P.MaxValue) AS Value, cast(P.DateTime as date) as dat, ME.Name AS ID ... group by ME.Name, cast(P.DateTime as date) Or if you do, you may use not exists clause instead of group by.
Trigger created with compilation error
I am trying to create a trigger that increases the discnt of a customer by .04 every time that customer places an order. Next I need to insert a new order in the orders table. The following is the Customers table: CID CNAME CITY DISCNT c001 Tiptop Duluth 10 c002 Basics California 12 c003 7/11 California 8 c004 ACME Duluth 8 c006 ACME Kyoto 0 c007 Goldberg NYC 15 The following is the orders table: ORDNO MON CID AID PID QTY DOLLARS 1011 jan c001 a01 p01 1000 450 1012 jan c001 a01 p01 1000 450 1019 feb c001 a02 p02 400 180 1017 feb c001 a06 p03 95959 540 1018 feb c001 a03 p04 600 540 1023 mar c001 a04 p05 500 450 1022 mar c001 a05 p06 400 720 1025 apr c001 a05 p07 800 720 1013 jan c002 a03 p03 1000 880 1026 may c002 a05 p03 800 704 1015 jan c003 a03 p05 1200 1104 1014 jan c003 a03 p05 1200 1104 1021 feb c004 a06 p01 1000 460 1016 jan c006 a01 p01 1000 500 1020 feb c006 a03 p07 600 600 1024 mar c006 a06 p01 800 400 The trigger I have created is: create or replace trigger UpdateDiscnt after insert or update on orders for each row begin update customers set discnt = 0.4 + :old.discnt where customers.cid=:new.cid; end; /
The error is an oracle error and there is no discnt in the order table so any version of old.discnt is incorrect. try create or replace trigger UpdateDiscnt after insert or update on orders for each row begin update customers set discnt = 0.4 + discnt where customers.cid= :new.cid; end; /