om rev
>> inner join customer c
>> on rev.custumer_id =c.id
>> inner join product p
>> on rev.sys = p.sys
>> and rev.prin = p.prin
>> and rev.scode= p.bcode
>>
>> left join item I
>> on rev.sys = I.sys
>> and rev.custumer_id = I.custumer_
Hello all:
I am using spark sql to join two tables. To my surprise I am
getting redundant rows. What could be the cause.
select rev.* from rev
inner join customer c
on rev.custumer_id =c.id
inner join product p
rev.sys = p.sys
rev.prin = p.prin
rev.scode= p.bcode
left join item I
on rev.sys =
Mitch, you are right these days the attention span is getting shorter.
Christian could work on a completely new thing for 3 hours and is proud to
explain. It is amazing.
Thanks for sharing.
On Sat, Apr 27, 2024 at 9:40 PM Farshid Ashouri
wrote:
> Mich, this is absolutely amazing.
>
> Thanks
What exactly is the error? Is it erroring out while reading the data from
db? How are you partitioning the data?
How much memory currently do you have? What is the network time out?
Regards,
Meena
On Mon, May 27, 2024 at 4:22 PM Perez wrote:
> Hi Team,
>
> I want to extract the data from DB
