I would like to convert this SQL query into ANSI SQL. I am having trouble wrapping my head around the logic of this query.
I use Snowflake Data Warehouse, but it does not understand this query because of the 'delete' statement right before join, so I am trying to break it down. From my understanding the row number column is giving me the order from 1 to N based on timestamp and placing it in C. Then C is joined against itself on the rows other than the first row (based on id) and placed in C1. Then C1 is deleted from the overall data, which leaves only the first row.
I may be understanding the logic incorrectly, but I am not used to seeing the 'delete' statement right before a join. Let me know if I got the logic right, or point me in the right direction.
This query was copy/pasted from THIS stackoverflow question which has the exact situation I am trying to solve, but on a much larger scale.
with C as
(
select ID,
row_number() over(order by DT) as rn
from YourTable
)
delete C1
from C as C1
inner join C as C2
on C1.rn = C2.rn-1 and
C1.ID = C2.ID
The specific problem I am trying to solve is this. Let's assume I have this table. I need to partition the rows by primary key combinations (primKey 1 & 2) while maintaining timestamp order.
ID primKey1 primKey2 checkVar1 checkVar2 theTimestamp
100 1 2 302 423 2001-07-13
101 3 6 506 236 2005-10-25
100 1 2 302 423 2002-08-15
101 3 6 506 236 2008-12-05
101 3 6 300 100 2010-06-10
100 1 2 407 309 2005-09-05
100 1 2 302 423 2012-05-09
100 1 2 302 423 2003-07-24
Once the rows are partitioned and the timestamp is ordered within each partition, I need to delete the duplicate checkVar combination (checkVar 1 & 2) rows until the next change. Thus leaving me with the earliest unique row. The rows with asterisks are the ones which need to be removed since they are duplicates.
ID primKey1 primKey2 checkVar1 checkVar2 theTimestamp
100 1 2 302 423 2001-07-13
*100 1 2 302 423 2002-08-15
*100 1 2 302 423 2003-07-24
100 1 2 407 309 2005-09-05
100 1 2 302 423 2012-05-09
101 3 6 506 236 2005-10-25
*101 3 6 506 236 2008-12-05
101 3 6 300 100 2010-06-10
This is the final result. As you can see for ID=100, even though the 1st and 3rd record are the same, the checkVar combination changed in between, which is fine. I am only removing the duplicates until the values change.
ID primKey1 primKey2 checkVar1 checkVar2 theTimestamp
100 1 2 302 423 2001-07-13
100 1 2 407 309 2005-09-05
100 1 2 302 423 2012-05-09
101 3 6 506 236 2005-10-25
101 3 6 300 100 2010-06-10