Is it possible to do month over month salary changes based on last 2 months and grouping this by unique id?How do I go about this issue? Thank you.
I tried this
SELECT
employee_id,
fiscal_year,
salary,
LAG(salary) OVER (
PARTITION BY employee_id
ORDER BY fiscal_year) previous_salary
FROM
basic_pays
where
date between Dateadd(month,-2,_date) And Getdate()
but it's bringing back 0 for all and runs a very long time.
Related
My table consists of user_id, revenue, publish_month columns.
Right now I use group_by user_id and sum(revenue) to get revenue for all individual users.
Is there a single SQL query I can use to query for user revenue across a time period conditionally? If for a specific user, there is a row for this month, I want to query for this month, last month and the month before. If there is not yet a row for this month, I want to query for last month and the two months before.
Any advice with which approach to take would be helpful. If I should be using cases, if-elses with exists or if this is do-able with a single SQL query?
UPDATE---since I did a bad job of describing the question, I've come to include some example data and expected results
Where current month is not present for user 33
Where current month is present
Assuming publish_month is a DATE datatype, this should get the most recent three months of data per user...
SELECT
user_id, SUM(revenue) as s_revenue
FROM
(
SELECT
user_id, revenue, publish_month,
MAX(publish_month) OVER (PARTITION BY user_id) AS user_latest_publish_month
FROM
yourtableyoudidnotname
)
summarised
WHERE
publish_month >= DATEADD(month, -2, user_latest_publish_month)
GROUP BY
user_id
If you want to limit that to the most recent 3 months out of the last 4 calendar months, just add AND publish_month >= DATEADD(month, -3, DATE_TRUNC(month, GETDATE()))
The ambiguity here is why it is important to include a Minimal Reproducible Example
With input data and require results, we could test our code against your requirements
If you're using strings for the publish_month, you shouldn't be, and should fix that with utmost urgency.
You can use a windowing function to "number" the months. In this way the most recent one will have a value of 1, the prior 2, and the one before 3. Then you can only select the items with a number of 3 or less.
Here is how:
SELECT user_id, revienue, publish_month,
ROW_NUMBER() OVER(PARTITION BY user_id ORDER BY publish_month DESC) as RN
FROM yourtableyoudidnotname
now you just select the items with RN less than 3 and do your sum
SELECT user_id, SUM(revenue) as s_revenue
FROM (
SELECT user_id, revenue, publish_month,
ROW_NUMBER() OVER(PARTITION BY user_id ORDER BY publish_month DESC) as RN
FROM yourtableyoudidnotname
) X
WHERE RN <= 3
GROUP BY user_id
You could also do this without a sub query if you use the windowing function for SUM and a range, but I think this is easier to understand.
From the comment -- there could be an issue if you have months from more than one year. To solve this make the biggest number in the order by always the most recent. so instead of
ORDER BY publish_month DESC
you would have
ORDER BY (100*publish_year)+publish_month DESC
This means more recent years will always have a higher number so january of 2023 will be 202301 while december of 2022 will be 202212. Since january is a bigger number it will get a row number of 1 and december will get a row number of 2.
My dataset looks like below:
I am trying to get Min start date & Max end date of an employee whenever there is a team change.
The problem here is, the date is not coming for repeated team.
Any help would be appreciated..
Teradata has a nice SQL extension for normalizing overlapping date ranges. This assumes that you want to get extra rows when a month is missing, i.e. there's a gap:
SELECT
emp_id
,team
-- split the Period into seperate columns again
,Begin(pd)
,last_day(add_months(End(pd),-1)) -- end of previous month
FRO
(
SELECT NORMALIZE -- normalize overlapping periods
emp_id
,team
-- NORMALIZE only works with periods, so create a Period based on current date plus one month
,PERIOD(month_end_date
,last_day(add_months(month_end_date, 1))
) AS pd
FROM vt
) AS dt;
If I understand correctly, this is a gaps-and-islands problem that can be solved using the difference of row number.
You can use:
select emp_id, team, min(month_end_date), max(month_end_date)
from (select t.*,
row_number() over (partition by emp_id order by month_end_date) as seqnum,
row_number() over (partition by emp_id, team order by month_end_date) as seqnum_2
from t
) t
group by emp_id, team, (seqnum - seqnum_2);
Note: This puts the dates on a single row, which seems more useful than your expected results.
Example of what I am trying to do:
I have 10 employees. They all started on different days throughout the year. Each get paid once a week. I want to query their first paycheck and call that week 1 for all employees. Then each subsequent paycheck will be 2...3...through 13. So basically I want to see what each of their first 13 weeks on the job looked like stacked against each other. I would expect my output to look something like this:
You can use row_number():
select
row_number() over(partition by EmployeeId order by PaycheckDate) week,
EmployeeId,
PaycheckDate,
Amount
from mytable
order by week, EmployeeId
If you want just the first 13 weeks per employee, then:
select *
from (
select
row_number() over(partition by EmployeeId order by PaycheckDate) week,
EmployeeId,
PaycheckDate,
Amount
from mytable
) t
where week <= 13
order by week, EmployeeId
I have an employees table that has many employee_records. The employee_records table has a column named event_type and it is an enum that can be either hire-date, promotion, termination, title-change, or rehire. I am attempting to calculate an employees total time employed and make some calculations based on how long they have been employed.
How can I add a column that gives me the total days that they have been employed?
Essentially, I need to see if they have a record with the event_type = termination and if they do, then I need to see if they have a rehire date, and if they do, then I need to use their rehire date as the first day of their employment and calculate their time of employment that way.
As for a result, I simply need a days_employed column that reflects the actual amount of days they have been employed.
Here is what I have so far.
SELECT
employees.id,
first_name,
last_name,
email,
event_type,
CASE
WHEN DATEDIFF(DAY, employee_records.created_at, SYSDATETIME()) < 365 * 5
THEN 1
WHEN DATEDIFF(DAY, employee_records.created_at, SYSDATETIME()) < 365 * 10
THEN 2
ELSE 3
END AS benfits_type,
DATEDIFF(DAY, employee_records.created_at, SYSDATETIME()) AS days_employed,
employee_records.created_at AS hire_date
FROM
employees
JOIN
employee_records ON employees.id = employee_records.employee_id
ORDER BY
employees.id ASC;
Here is an example of how you could do this. I'll post the query first and then walk through my explanation. If I understood you correctly, you were not looking for total days the employee was hired, but rather the total days of the employee's most recent employment at the company (Max hire date to max termination date or today).
;WITH hired
AS (SELECT employee_records.employee_id id,
Max(employee_records.created_at) created_at
FROM employee_records
WHERE event_type = 'hire-date'
GROUP BY employee_records.employee_id),
latest
AS (SELECT employees.id
id,
Isnull(Cast(Max(employee_records.created_at) AS DATE), Getdate()
)
created_at
FROM employees
LEFT JOIN employee_records
ON employees.id = employee_records.employee_id
AND employee_records.event_type = 'termination'
GROUP BY employees.id)
SELECT *,
Datediff(day, hired, latestday) DaysEmployeed
FROM (SELECT hired.id,
hired.created_at AS Hired,
CASE
WHEN hired.created_at > latest.created_at THEN Cast(
Getdate() AS DATE)
ELSE latest.created_at
END AS LatestDay
FROM hired
INNER JOIN latest
ON hired.id = latest.id) JoinedCTEs
First of all I know you mentioned event_type is an integer, but for easy explanation I used a varchar.
Two CTEs to start.
First there is "hired" which will get you the latest hire date. So if an employee has multiple hire dates, it grabs the latest date.
Second there is "latest" which is the latest date an employee has a termination date, but also uses today's date as a placeholder date if an employee has never been terminated.
The final query joins the two CTEs and does a datediff by day to determine how many days an employee has been at the company. If the termination date is earlier than the hire date (An employee who was hired, terminated, rehired and is still with the company), it will take today's date as the latest date to count.
I've a transact table (historical) with a CreatedDate, this transact is related to employee transact table. (inner join in transact_id)
This being said, comes the problem: I need to query these table and get the state by month , because during the year, the CreatedDate can change. e.g. An employee update in July will create a new line, but this shouldn't affect the March total.
The solution looks like a forech, but how can I join all lines at the end? The result should be something like:
January - $123
February - $234
March - $123
...
I get the last state of each employee with this:
select AllTransact.id_employee, AllTransact.id_department from (
select id_employee, id_department, rank() over (partition by id_employee order by created_date desc) desc_rank
from Transact_Employee TransEmployee
inner join Transact on TransEmployee.ID_Transact = Transact.ID_Transact
and Transact.Status = 8
and Transact.Created_Date < #currentMonth) AllTransact
where desc_rank = 1
*I don't want to copy and past all the code 12 times. :)
You can partition over many columns. rank() OVER (partition BY [id_employee],datepart(month,[Created_Date]) ORDER BY [Created_Date] DESC) will give you what you have now but for each month (and it doesn't care what year that month is in so you either need to partition by year too or add limit on created_date).