I need a query to return the initial and final numeric value of the number of listeners of some artists of the last 30 days ordered from the highest increase of listeners to the lowest.
To better understand what I mean, here are the tables involved.
artist table saves the information of a Spotify artist.
id
name
Spotify_id
1
Shakira
0EmeFodog0BfCgMzAIvKQp
2
Bizarrap
716NhGYqD1jl2wI1Qkgq36
platform_information table save the information that I want to get from the artists and on which platform.
id
platform
information
1
spotify
monthly_listeners
2
spotify
followers
platform_information_artist table stores information for each artist on a platform and information on a specific date.
id
platform_information_id
artist_id
date
value
1
1
1
2022-11-01
100000
2
1
1
2022-11-15
101000
3
1
1
2022-11-30
102000
4
1
2
2022-11-02
85000
5
1
2
2022-11-06
90000
6
1
2
2022-11-26
100000
Right now have this query:
SELECT (SELECT value
FROM platform_information_artist
WHERE artist_id = 1
AND platform_information_id =
(SELECT id from platform_information WHERE platform = 'spotify' AND information = 'monthly_listeners')
AND DATE(date) >= DATE(NOW()) - INTERVAL 30 DAY
ORDER BY date ASC
LIMIT 1) as month_start,
(SELECT value
FROM platform_information_artist
WHERE artist_id = 1
AND platform_information_id =
(SELECT id from platform_information WHERE platform = 'spotify' AND information = 'monthly_listeners')
AND DATE(date) >= DATE(NOW()) - INTERVAL 30 DAY
ORDER BY date DESC
LIMIT 1) as month_end,
(SELECT month_end - month_start) as diference
ORDER BY month_start;
Which returns the following:
month_start
month_end
difference
100000
102000
2000
The problem is that this query only returns the artist I specify.
And I need the information like this:
artist_id
name
platform_information_id
month_start_value
month_end_value
difference
2
Bizarrap
1
85000
100000
15000
1
Shakira
1
100000
102000
2000
The query should return the 5 artists that have grown the most in number of monthly listeners over the last 30 days, along with the starting value 30 days ago, and the current value.
Thanks for the help.
in Tableau I have a table with this form :
rows: Score.
columns:MY(month), sum(good), sum(bad).
This is the information when I use: month 201811
201611 201612 ... 201801 ... 201811 TOTAL
Score Good Bad Good Bad Good Bad ... Good Bad
1 3 0 7 3 6 3 2 1
2 5 1 1 1 1 1 4 4
3 10 3 2 1 0 3 3 3
I want to use a filter with 'Month' column ,when I filter month=201811, show since 201611 to 201711 (last 12 months) in Total column(Totals in Bad and Good columns) by Score.
Filter: 201811
Formula: sum(Good) and sum(Bad) since '201611' to '201711'
I trying "IF DATEDIFF('month', [Good], today()) <=12" but doesn't work.
Thanks for your help.
Try this:
If DATEDIFF("month",TODAY(),[Your Date Field],"Sunday") <= -12
then [Your Date Field] else null end
Then use that as your date column. The "Sunday" is supposed to be whatever you consider the starting day of the week. I wasn't sure what your date field is named so I named it "[Your Date Field]"
I have a table of events, called tbl_events that looks something like this:
PersonID Date
1 30/03/2015
1 22/04/2015
1 30/06/2015
2 18/07/2016
2 09/12/2016
2 28/04/2017
3 01/10/2014
3 28/11/2016
3 28/11/2016
3 16/01/2017
4 13/04/2017
4 09/05/2017
I want to be able to group these events up by the start date of each 'sequence', with a sequence being defined as a run of events from the first identified to the last identified for each PersonID. The last event in a sequence is defined as the event where thereafter there are no subsequent events for that PersonID for a year.
The result of this I would expect to look like is below:
PersonID FirstDate Sequence Events
1 30/03/2015 1 3
2 18/07/2016 1 3
3 01/10/2014 1 1
3 28/11/2016 2 3
4 13/04/2017 1 2
I am able to identify the sequences in Excel and pivot the data, but I need to be able to do this in SQL.
Here is the formula I have used in Excel to generate the sequence number (I am populating cell C3, with column A being PersonID and B being Date):
=+IF(A2<>A3,1,IF((B3-B2)<365,C2,C2+1))
I have joined the table back on itself using ROW_NUMBER to get the difference between the Date and the previous event date for that ID, but I'm not really sure where to go from there.
Any help is much appreciated.
My solution is based on the sample data you've provided along with your excel formula.
-- easily consumable sample data
DECLARE #tbl_events TABLE (PersonId int, [date] date)
INSERT #tbl_events VALUES
(1,'20150330'),(1,'20150422'),(1,'20150630'),(2,'20160718'),(2,'20161209'),(2,'20170428'),
(3,'20141001'),(3,'20161128'),(3,'20161128'),(3,'20170116'),(4,'20170413'),(4,'20170509');
-- Solution
WITH groupings AS
(
SELECT
PersonId,
FirstDate = MIN([date]) OVER (PARTITION BY personId ORDER BY [date]),
NextDate = LAG([date],1,[date]) OVER (PARTITION BY personId ORDER BY [date]),
[date],
grouper =
DATEDIFF(DAY, MIN([date]) OVER (PARTITION BY personId ORDER BY [date]), [date]) / 365
FROM #tbl_events
),
Prep AS
(
SELECT
PersonId,
firstDate = IIF(grouper = 0, FirstDate, IIF(FirstDate = NextDate, [date],NextDate))
FROM groupings
)
SELECT
PersonId,
FirstDate,
[Sequence] = ROW_NUMBER() OVER (PARTITION BY personId ORDER BY FirstDate),
[Events] = COUNT(*)
FROM prep
GROUP BY personId, FirstDate;
Results
PersonId FirstDate Sequence Events
----------- ---------- -------------------- -----------
1 2015-03-30 1 3
2 2016-07-18 1 3
3 2014-10-01 1 1
3 2016-11-28 2 3
4 2017-04-13 1 2
First note all years have 365 days, nonetheless, I'm using 365 to emulate your excel logic; this would need to be updated to account for leap years. Next, like your excel formula - this will only be correct when there are two sequences;
it would not work when, say personId has a date of jan 1 2015, then jan 10 2016, then feb 1 2017.Let us know if we need logic to accommodate for the aforementioned scenarios.
Lastly this solution uses LAG which requires SQL Server 2012+, if you're working with an earlier version of SQL the query will have to be updated accordingly.
I want to count number of month for particular user from subscription table. for example user_id = 1 occur 10 times in subscription table like in January it appears 2 time and in February = 0 and again in march = 1 like that
user_id type started_on ended_on
2 P 2009-10-21 2010-03-18
2 F 2010-03-18 2010-03-20
2 P 2010-03-20 2012-05-19
2 F 2012-05-19 till now
This is pretty basic SQL, I reccomend you read some manual before asking it here. About the Aggregate functions for example. But there you go:
If you want one user:
SELECT
count(distinct month)
FROM
subscription
WHERE
user_id=your_user_id_number
If you want every user's:
SELECT
count(distinct month),
user_id
FROM
subscription
GROUP BY
user_id
Edit:
Ok, so you want the month difference between two date columns, here is how you do it with age():
SELECT user_id, extract(YEAR from age(coalesce(ended_on,current_date),started_on)) * 12 + extract(MONTH FROM age(coalesce(ended_on,current_date),started_on))
FROM subscription
Assuming data such as the following:
ID EffDate Rate
1 12/12/2011 100
1 01/01/2012 110
1 02/01/2012 120
2 01/01/2012 40
2 02/01/2012 50
3 01/01/2012 25
3 03/01/2012 30
3 05/01/2012 35
How would I find the rate for ID 2 as of 1/15/2012?
Or, the rate for ID 1 for 1/15/2012?
In other words, how do I do a query that finds the correct rate when the date falls between the EffDate for two records? (Rate should be for the date prior to the selected date).
Thanks,
John
How about this:
SELECT Rate
FROM Table1
WHERE ID = 1 AND EffDate = (
SELECT MAX(EffDate)
FROM Table1
WHERE ID = 1 AND EffDate <= '2012-15-01');
Here's an SQL Fiddle to play with. I assume here that 'ID/EffDate' pair is unique for all table (at least the opposite doesn't make sense).
SELECT TOP 1 Rate FROM the_table
WHERE ID=whatever AND EffDate <='whatever'
ORDER BY EffDate DESC
if I read you right.
(edited to suit my idea of ms-sql which I have no idea about).