Hi Nitin, 
Thanks for your question.  Could you/did you share your code?  If not, could 
you please post a draft PR so that we can take a look and offer suggestions?
Thanks,
-- C


> On Nov 5, 2019, at 7:27 AM, Nitin Pawar <nitinpawar...@gmail.com> wrote:
> 
> Hi Devs,
> 
> I had sent request for this almost 2.5 years ago. Trying it again now.
> 
> Currently Apache drill window functions LEAD and LAG support offset as 1.
> In another words in a given window these functions can return either
> previous or next row only.
> 
> 
> I am trying modify the behavior these function and allow offset >=1 in
> query such as
> select employee_id, department_id,salary, lag(salary,*4*) over(partition by
> department_id order by salary asc) from  cp.`employee.json`;
> 
> I have managed to remove the limitation which fails the query can not have
> offset > 1 and able to pass the offset to actual function implementation.
> 
> Currently I am stuck where the record processor is crossing the window
> boundary of department_id and gets row from next/previous window in
> lead/lag function
> 
> For eg: If you notice in row 2 for department_id=2, it is getting previous
> windows of department_id=1
> 
> Here is sample output for below query
> apache drill> select  employee_id, department_id,salary, lag(salary,4)
> over(partition by department_id order by salary asc) from
> cp.`employee.json` where department_id <=3;
> +-------------+---------------+---------+----------+
> | employee_id | department_id | salary  |  EXPR$3  |
> +-------------+---------------+---------+----------+
> | 20          | 1             | 30000.0 | null     |
> | 5           | 1             | 35000.0 | null     |
> | 22          | 1             | 35000.0 | null     |
> | 21          | 1             | 35000.0 | null     |
> | 2           | 1             | 40000.0 | 30000.0  |
> | 4           | 1             | 40000.0 | 35000.0  |
> | 1           | 1             | 80000.0 | 35000.0  |
> | 37          | 2             | 6700.0  | null     |
> | 38          | 2             | 8000.0  | 40000.0  |
> | 39          | 2             | 10000.0 | 40000.0  |
> | 40          | 2             | 10000.0 | 80000.0  |
> | 6           | 2             | 25000.0 | 6700.0   |
> | 42          | 3             | 5000.0  | null     |
> | 41          | 3             | 8500.0  | 10000.0  |
> | 7           | 3             | 15000.0 | 10000.0  |
> | 36          | 3             | 45000.0 | 25000.0  |
> +-------------+---------------+---------+----------+
> 
> 
> Thanks,
> Nitin Pawar

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