From a table named 'Subscriptions' I want to list all item that expire between 0 and 3 days from the current day.
$Today = date('Y-m-d');
|--------|----------|------------|
| SUB_Id | SUB_Name | SUB_End |
|--------|----------|------------|
| 1 | Banana | 2017-12-01 |
| 2 | Apple | 2017-11-03 |
| 3 | Pear | 2017-11-03 |
|--------|----------|------------|
I should have the last two rows as the SUB_End - $Today is <= 3 days.
What I try:
select * from Subscriptions
where DATEDIFF(SUB_End , $today) <= 3;
I would do this entirely in SQL:
select s.*
from Subscriptions s
where sub_end >= curdate() and
sub_end <= curdate() + interval 3 day;
You can use the following query, this is only for sql server :
select * from Subscriptions
where DATEDIFF(day, SUB_End , getdate()) <= 3;
You can try this.
Edited: Oracle based solution.
select s.*
from Subscriptions s
where s.sub_end BETWEEN TRUNC(SYSDATE - 3) AND TRUNC(SYSDATE)
Related
Let's say I have a table Transaction which has data as following:
Transaction
| id | user_id | amount | created_at |
|:-----------|------------:|:-----------:| :-----------:|
| 1 | 1 | 100 | 2021-09-11 |
| 2 | 1 | 1000 | 2021-09-12 |
| 3 | 1 | -100 | 2021-09-12 |
| 4 | 2 | 200 | 2021-10-13 |
| 5 | 2 | 3000 | 2021-10-20 |
| 6 | 3 | -200 | 2021-10-21 |
I want to filter this data by this: last 4days, 15days, 28days:
Note: If user click on select option 4days this will filter last 4 days.
I want this data
total commission (sum of all transaction amount * 5%)
Total Top up
Total Debut: which amount (-)
Please help me out and sorry for basic question!
Expect result:
** If user filter last 4days:
Let's say current date is: 2021-09-16
So result:
- TotalCommission (1000 - 100) * 5
- TotalTopUp: 1000
- TotalDebut: -100
I suspect you want:
SELECT SUM(amount) * 0.05 AS TotalCmomission,
SUM(amount) FILTER (WHERE amount > 0) AS TotalUp,
SUM(amount) FILTER (WHERE amount < 0) AS TotalDown
FROM t
WHERE created_at >= CURRENT_DATE - 4 * INTERVAL '1 DAY';
This assumes that there are no future created_at (which seems like a reasonable assumption). You can replace the 4 with whatever value you want.
Take a look at the aggregate functions sum, max and min. Last four days should look like this:
SELECT
sum(amount)*.05 AS TotalComission,
max(amount) AS TotalUp,
min(amount) AS TotalDebut
FROM t
WHERE created_at BETWEEN CURRENT_DATE-4 AND CURRENT_DATE;
Demo: db<>fiddle
Your description indicates specifying the number of days to process and from your expected results indicate you are looking for results by user_id (perhaps not as user 1 falls into the range). Perhaps the the best option would be to wrap the query into a SQL function. Then as all your data is well into the future you would need to parameterize that as well. So the result becomes:
create or replace
function Commissions( user_id_in integer default null
, days_before_in integer default 0
, end_date_in date default current_date
)
returns table( user_id integer
, totalcommission numeric
, totalup numeric
, totaldown numeric
)
language sql
as $$
select user_id
, sum(amount) * 0.05
, sum(amount) filter (where amount > 0)
, sum(amount) filter (where amount < 0)
from transaction
where (user_id = user_id_in or user_id_in is null)
and created_at <# daterange( (end_date_in - days_before_in * interval '1 day')::date
, end_date_in
, '[]'::text -- indicates inclusive of both dates
)
group by user_id;
$$;
See demo here. You may just want to play around with the parameters and see the results.
I've been trying to figure out the following PostgreSQL query with no success for two days now.
Let's say I have the following table:
| date | value |
-------------------------
| 2018-05-11 | 0.20 |
| 2018-05-11 | -0.12 |
| 2018-05-11 | 0.15 |
| 2018-05-10 | -1.20 |
| 2018-05-10 | -0.70 |
| 2018-05-10 | -0.16 |
| 2018-05-10 | 0.07 |
And I need to find out the query to count positive and negative values per day:
| date | positives | negatives |
------------------------------------------
| 2018-05-11 | 2 | 1 |
| 2018-05-10 | 1 | 3 |
I've been able to figure out the query to extract only positives or negatives, but not both at the same time:
SELECT to_char(table.date, 'DD/MM') AS date
COUNT(*) AS negative
FROM table
WHERE table.date >= DATE(NOW() - '20 days' :: INTERVAL) AND
value < '0'
GROUP BY to_char(date, 'DD/MM'), table.date
ORDER BY table.date DESC;
Can please someone assist? This is driving me mad. Thank you.
Use a FILTER clause with the aggregate function.
SELECT to_char(table.date, 'DD/MM') AS date,
COUNT(*) FILTER (WHERE value < 0) AS negative,
COUNT(*) FILTER (WHERE value > 0) AS positive
FROM table
WHERE table.date >= DATE(NOW() - '20 days'::INTERVAL)
GROUP BY 1
ORDER BY DATE(table.date) DESC
I would simply do:
select date_trunc('day', t.date) as dte,
sum( (value < 0)::int ) as negatives,
sum( (value > 0)::int ) as positives
from t
where t.date >= current_date - interval '20 days'
group by date_trunc('day', t.date),
order by dte desc;
Notes:
I prefer using date_trunc() to casting to a string for removing the time component.
You don't need to use now() and convert to a date. You can just use current_date.
Converting a string to an interval seems awkward, when you can specify an interval using the interval keyword.
I have two tables
tbl_date1
date_str | int_add
12/1/2016 | 5
12/2/2016 | 2
12/4/2016 | 4
tbl_date2 (Dates to be bypassed)
date_bpass
12/3/2016
12/4/2016
Result:
date_str | int_add | final_date
12/1/2016 | 5 | 12/8/2016
12/2/2016 | 2 | 12/6/2016
12/4/2016 | 4 | 12/8/2016
I want the query to return the final_date column value wherein the final_date is the DATEADD of the date_str and int_add but should not include
the dates present in tbl_date2.
Thank You
Here is one way
SELECT date_str,
int_add,
Dateadd(dd, int_add + add_count, date_str)
FROM tbl_date1 a
OUTER apply (SELECT Count(1)
FROM tbl_date2 b
WHERE b.date_bpass BETWEEN Dateadd(dd, 1, a.date_str) AND Dateadd(dd, a.int_add, a.date_str)) cs (add_count)
Live Demo
We are building a PowerBI reporting solution and I (well Stack) solved one problem and the business came up with a new reporting idea. Not sure of the best way to approach it as I know very little about PowerBI and the business seems to want quite complex reports.
We have two sequences of events from separate data sources. They both contain independent events occurring to vehicles. One describes what location a vehicle is within - the other describes incident events which have a reason code for the incident. The business wants to report on time spent in each location for each reason. Vehicles can change location totally independent of the incident events occurring - and events actually are datetime and occur at random points throughtout day. Each type of event has a startime/endtime and a vehicleID.
Vehicle Location Events
+------------------+-----------+------------+-----------------+----------------+
| LocationDetailID | VehicleID | LocationID | StartDateTime | EndDateTime |
+------------------+-----------+------------+-----------------+----------------+
| 1 | 1 | 1 | 2012-1-1 | 2016-1-1 |
| 2 | 1 | 2 | 2016-1-1 | 2016-4-1 |
| 3 | 1 | 1 | 2016-4-1 | 2016-11-1 |
| 4 | 2 | 1 | 2011-1-1 | 2016-11-1 |
+------------------+-----------+------------+-----------------+----------------+
Vehicle Status Events
+---------+---------------+-------------+-----------+--------------+
| EventID | StartDateTime | EndDateTime | VehicleID | ReasonCodeID |
+---------+---------------+-------------+-----------+--------------+
| 1 | 2012-1-1 | 2013-1-1 | 1 | 1 |
| 2 | 2013-1-1 | 2015-1-1 | 1 | 3 |
| 3 | 2015-1-1 | 2016-5-1 | 1 | 4 |
| 4 | 2016-5-1 | 2016-11-1 | 1 | 2 |
| 5 | 2015-9-1 | 2016-2-1 | 2 | 1 |
+---------+---------------+-------------+-----------+--------------+
Is there anyway I can correlate the two streams together and calculate total time per Vehicle per ReasonCode per location? This would seem to require me to be able to relate the two events - so a change of location may occur part way through a given ReasonCode.
Calculation Example ReasonCodeID 4
VehicleID 1 is in location ID 1 from 2012-1-1 to 2016-1-1 and
2016-4-1 to 2016-11-1
VehicleID 1 is in location ID 2 from 2016-1-1
to 2016-4-1
VehcileID 1 has ReasonCodeID 4 from 2015-1-1 to
2016-5-1
Therefore first Period in location 1 intersects with 365 days of ReasonCodeID 4 (2015-1-1 to 2016-1-1). 2nd period in location 1 intersects with 30 days (2016-4-1 to 2016-5-1).
In location 2 intersects with 91 days of ReasonCodeID 4(2016-1-1 to 2016-4-1
Desired output would be the below.
+-----------+--------------+------------+------------+
| VehicleID | ReasonCodeID | LocationID | Total Days |
+-----------+--------------+------------+------------+
| 1 | 1 | 1 | 366 |
| 1 | 3 | 1 | 730 |
| 1 | 4 | 1 | 395 |
| 1 | 4 | 2 | 91 |
| 1 | 2 | 1 | 184 |
| 2 | 1 | 1 | 154 |
+-----------+--------------+------------+------------+
I have created a SQL fiddle that shows the structure here
Vehicles have related tables and I'm sure the business will want them grouped by vehicle class etc but if I can understand how to calculate the intersection points in this case that would give me the basis for rest of reporting.
I think this solution requires a CROSS JOIN implementation. The relationship between both tables is Many to Many which implies the creation of a third table that bridges LocationEvents and VehicleStatusEvents tables so I think specifying the relationship in the expression could be easier.
I use a CROSS JOIN between both tables, then filter the results only to get those rows which VehicleID columns are the same in both tables. I am also filtering the rows that VehicleStatusEvents range dates intersects LocationEvents range dates.
Once the filtering is done I am adding a column to calculate the count of days between each intersection. Finally, the measure sums up the days for each VehicleID, ReasonCodeID and LocationID.
In order to implement the CROSS JOIN you will have to rename the VehicleID, StartDateTime and EndDateTime on any of both tables. It is necessary for avoiding ambigous column names errors.
I rename the columns as follows:
VehicleID : LocationVehicleID and StatusVehicleID
StartDateTime : LocationStartDateTime and StatusStartDateTime
EndDateTime : LocationEndDateTime and StatusEndDateTime
After this you can use CROSSJOIN in the Total Days measure:
Total Days =
SUMX (
FILTER (
ADDCOLUMNS (
FILTER (
CROSSJOIN ( LocationEvents, VehicleStatusEvents ),
LocationEvents[LocationVehicleID] = VehicleStatusEvents[StatusVehicleID]
&& LocationEvents[LocationStartDateTime] <= VehicleStatusEvents[StatusEndDateTime]
&& LocationEvents[LocationEndDateTime] >= VehicleStatusEvents[StatusStartDateTime]
),
"CountOfDays", IF (
[LocationStartDateTime] <= [StatusStartDateTime]
&& [LocationEndDateTime] >= [StatusEndDateTime],
DATEDIFF ( [StatusStartDateTime], [StatusEndDateTime], DAY ),
IF (
[LocationStartDateTime] > [StatusStartDateTime]
&& [LocationEndDateTime] >= [StatusEndDateTime],
DATEDIFF ( [LocationStartDateTime], [StatusEndDateTime], DAY ),
IF (
[LocationStartDateTime] <= [StatusStartDateTime]
&& [LocationEndDateTime] <= [StatusEndDateTime],
DATEDIFF ( [StatusStartDateTime], [LocationEndDateTime], DAY ),
IF (
[LocationStartDateTime] >= [StatusStartDateTime]
&& [LocationEndDateTime] <= [StatusEndDateTime],
DATEDIFF ( [LocationStartDateTime], [LocationEndDateTime], DAY ),
BLANK ()
)
)
)
)
),
LocationEvents[LocationID] = [LocationID]
&& VehicleStatusEvents[ReasonCodeID] = [ReasonCodeID]
),
[CountOfDays]
)
Then in Power BI you can build a matrix (or any other visualization) using this measure:
If you don't understand completely the measure expression, here is the T-SQL translation:
SELECT
dt.VehicleID,
dt.ReasonCodeID,
dt.LocationID,
SUM(dt.Diff) [Total Days]
FROM
(
SELECT
CASE
WHEN a.StartDateTime <= b.StartDateTime AND a.EndDateTime >= b.EndDateTime -- Inside range
THEN DATEDIFF(DAY, b.StartDateTime, b.EndDateTime)
WHEN a.StartDateTime > b.StartDateTime AND a.EndDateTime >= b.EndDateTime -- |-----|*****|....|
THEN DATEDIFF(DAY, a.StartDateTime, b.EndDateTime)
WHEN a.StartDateTime <= b.StartDateTime AND a.EndDateTime <= b.EndDateTime -- |...|****|-----|
THEN DATEDIFF(DAY, b.StartDateTime, a.EndDateTime)
WHEN a.StartDateTime >= b.StartDateTime AND a.EndDateTime <= b.EndDateTime -- |---|****|-----
THEN DATEDIFF(DAY, a.StartDateTime, a.EndDateTime)
END Diff,
a.VehicleID,
b.ReasonCodeID,
a.LocationID --a.StartDateTime, a.EndDateTime, b.StartDateTime, b.EndDateTime
FROM LocationEvents a
CROSS JOIN VehicleStatusEvents b
WHERE a.VehicleID = b.VehicleID
AND
(
(a.StartDateTime <= b.EndDateTime)
AND (a.EndDateTime >= b.StartDateTime)
)
) dt
GROUP BY dt.VehicleID,
dt.ReasonCodeID,
dt.LocationID
Note in T-SQL you could use an INNER JOIN operator too.
Let me know if this helps.
select coalesce(l.VehicleID,s.VehicleID) as VehicleID
,s.ReasonCodeID
,l.LocationID
,sum
(
datediff
(
day
,case when s.StartDateTime > l.StartDateTime then s.StartDateTime else l.StartDateTime end
,case when s.EndDateTime < l.EndDateTime then s.EndDateTime else l.EndDateTime end
)
) as TotalDays
from VehicleLocationEvents as l
full join VehicleStatusEvents as s
on s.VehicleID =
l.VehicleID
and case when s.StartDateTime > l.StartDateTime then s.StartDateTime else l.StartDateTime end <=
case when s.EndDateTime < l.EndDateTime then s.EndDateTime else l.EndDateTime end
group by coalesce(l.VehicleID,s.VehicleID)
,s.ReasonCodeID
,l.LocationID
or
select VehicleID
,ReasonCodeID
,LocationID
,sum (datediff (day,max_StartDateTime,min_EndDateTime)) as TotalDays
from (select coalesce(l.VehicleID,s.VehicleID) as VehicleID
,s.ReasonCodeID
,l.LocationID
,case when s.StartDateTime > l.StartDateTime then s.StartDateTime else l.StartDateTime end as max_StartDateTime
,case when s.EndDateTime < l.EndDateTime then s.EndDateTime else l.EndDateTime end as min_EndDateTime
from VehicleLocationEvents as l
full join VehicleStatusEvents as s
on s.VehicleID =
l.VehicleID
) ls
where max_StartDateTime <= min_EndDateTime
group by VehicleID
,ReasonCodeID
,LocationID
I have a table like this
+----+---------------------+
| Id | Date application |
+----+---------------------+
| 1 | 2016-08-22 03:05:06 |
| 2 | 2016-08-22 03:05:06 |
| 1 | 2016-08-23 03:05:06 |
| 2 | 2016-08-23 03:05:06 |
+----+---------------------+
I would like to find out when was the first application for each user (ID)
and then to count how many occurred in the past 7 days
so far here is what I have
SELECT id,
min(date_of_application)
FROM mytable
GROUP BY id
ORDER BY date_of_application ASC
Will the min() work on dates ?
From there, how do I count how many first applications there are in the past 7 days ?
Please tag your database. min() will work on dates.
Assuming your is mysql db here is what you can do to get the application usage count in the past 7 days from now.
select
id, count(*) as 'appUsageCount'
from
mytable
where
dateApplication >= DATE(DATE_SUB(NOW(),INTERVAL 7 DAY))
and date_of_application <= DATE(NOW()))
group by id
#Neeraj: Using your query with little modification.
Try this:
select
id, count(id) as 'appUsageCount', min(date_of_application)
from
mytable
where
date_of_application >= DATE(DATE_SUB(NOW(),INTERVAL 7 DAY))
and date_of_application <= DATE(NOW()))
group by id