Viewing 15 posts - 151 through 165 (of 1,402 total)
TBH, I don't see why the people making the JSON can't make it into a table and populate the table directly. They even provide a datatype key and they...
December 14, 2023 at 1:43 pm
Understand that I was speaking only from the SQL Server side... there is no "looping" required to pivot the JSON into a table.
While were on the subject, I wouldn't...
December 14, 2023 at 1:25 pm
The JSON will always have the same values/pairs as that part is static.
That pairing is still not 100% as I'm taking suggestions provided by Phil/Steves to help improve the...
December 13, 2023 at 9:11 pm
An alternative
select v1.CompanyName,
left(v1.CompanyName, sum(iif(ss.ordinal<=1, v.str_len, 0))) _1_word,
left(v1.CompanyName, sum(iif(ss.ordinal<=2, v.str_len, 0))+1) _2_word,
...
December 13, 2023 at 1:41 pm
This mostly borrows your FROM clause except I changed DaysToAdd to be 'int' which the JSON supports (it's not in quotations). Instead of PIVOT I always use conditional aggregation. It's...
December 12, 2023 at 12:03 am
100% agree with Phil. Fix the JSON please 🙂 To save myself from toil I used ChatGPT-4 and here's the result
You're right, embedding SQL code in JSON is not a...
December 11, 2023 at 5:47 pm
If you want the odd numbered 'rotation' column value(d) rows to be updated from the even numbered rows then LAG would seem the better choice. First tho, I agree with...
December 5, 2023 at 1:26 pm
Maybe something like this. The OUTER APPLY looks for the next occurrence of [Status] in('collected', 'shipper') for each dropoff and preparation. Also, LEAD(DateShipped) looks for the next occurrence of [Status]...
November 30, 2023 at 5:42 pm
Maybe get rid of the MAX OVER and just evaluate the Status column
select *, iif([Status] in('Dropoff', 'preparation'), 1, 0) d_or_p
from #ShipperStatusHistory
order by OrderNumber, DateShipper; November 30, 2023 at 2:48 am
Happy Thanksgiving
Based on the written requirements (as interpreted) this query might be helpful. The comparisons being made across rows are partitioned by (OrderNumber, RelayPoint) and ordered by DateShipper. To identify...
November 25, 2023 at 2:23 am
The date columns are of data type DATE? It's not confirmed by question. For this answer the dates must be stored as DATE.
;with example_cte as (
...
November 22, 2023 at 1:53 pm
Thank you Jeff. 44.9% or 31%? Either way there's no implicit type conversion 🙂
Ken McKelvey's solution in the "Pivot with grouping intervals" topic is interesting. It cross join's a 2...
November 19, 2023 at 1:03 pm
The top two CTEs could be replaced with only one. Possibly the bottom two could be combined as well using the "smudge" method?
with
pvt_cte as (
...
November 17, 2023 at 8:00 pm
Afaik this returns the same output. The CTEs expand the date intervals, pivot by role name and summarize by day, identify gaps in GROUP BY columns, and create groups using...
November 17, 2023 at 6:21 pm
Viewing 15 posts - 151 through 165 (of 1,402 total)