I have a weird situation where i need to order 0 first and then descends a column.
Let's say i have column that looks like this
Status
------
3
4
0
5
1
2
4
0
2
And Now i need to order it by
Status
------
0
0
5
4
4
3
2
2
1
Is this possible for SQL? I've been trying to test for 2 days now but i am stuck.
Use a case expression to first sort 0's and then the rest. After that sort by status desc:
order by case when Status = 0 then 0 else 1 end, status desc
Related
Seeking some help after spending alot of time on searching but to no avail and decided to post this here as I'm rather new to SQL, so any help is greatly appreciated. I've tried a few functions but can't seem to get it right. e.g. GROUP BY, BETWEEN etc
On the PrestoSQL server, I have a table as shown below starting with columns Date, ID and COVID. Using GROUP BY ID, I would like to create a column EverCOVIDBefore which looks back at all past dates of the COVID column to see if there was ever COVID = 1 or not, as well as another column called COVID_last_2_mth which checks if there was ever COVID = 1 within the past 2 months
(Highlighted columns are my expected outcomes)
Link to dataset: https://drive.google.com/file/d/1Sc5Olrx9g2A36WnLcCFMU0YTQ3-qWROU/view?usp=sharing
You can do:
select *,
max(covid) over(partition by id order by date) as ever_covid_before,
max(covid) over(partition by id order by date
range between interval '2 month' preceding and current row)
as covid_last_two_months
from t
Result:
date id covid ever_covid_before covid_last_two_months
----------- --- ------ ------------------ ---------------------
2020-01-15 1 0 0 0
2020-02-15 1 0 0 0
2020-03-15 1 1 1 1
2020-04-15 1 0 1 1
2020-05-15 1 0 1 1
2020-06-15 1 0 1 0
2020-01-15 2 0 0 0
2020-02-15 2 1 1 1
2020-03-15 2 0 1 1
2020-04-15 2 0 1 1
2020-05-15 2 0 1 0
2020-06-15 2 1 1 1
See running example at db<>fiddle.
I have the Following Output:
Sno
Value Stream
Duration
Inspection
1
Test1
3
1
2
ON
14
0
3
Start
5
0
4
Test1
5
1
5
OFF
0
1
6
Start
0
1
7
Test2
0
1
8
ON
3
1
9
START
0
1
10
Test2
2
2
I want to merge the same value after that before START values charge to after ON. For example S.no 4 will merge to s.no4.
1 | Test1 | 8 | 2 |
If the combination is not equal then don't allow it to merge. For Example, we have to consider only On/Start. If the condition is OFF/Start then don't allow to merge. E.g. S.no 5 and 6 OFF/Start then don't allow to merge s.no 4 & 7.
I think you are talking about summarization not merging:
select [Value Stream],
min(Sno) as First_Sno,
sum(Duration) as total_Duration,
sum(Inspection) as Inspection
from yourtable
group by [Value Stream]
Will give you the result
I currently have a table that looks like this:
id carrots potatoes
1 10 0
2 0 5
3 0 0
4 15 3
5 13 2
I want to look at customers who ordered both carrots and potatoes. Like this:
id carrots potatoes
4 15 3
5 13 2
1 10 0
2 0 5
3 0 0
I am currently using an ORDER BY where both fields are DESC: ORDER BY potatoes DESC, carrots DESC
The problem is that this isn't always reliable. Right now it works, but in the case of a customer who ordered a lot of potatoes and no carrots, if I arbitrarily switch the order to ORDER BY potatoes DESC, carrots DESC it gives back
id carrots potatoes
2 0 5
4 15 3
5 13 2
1 10 0
3 0 0
What would your approach be?
Code at sqlfiddle here: http://sqlfiddle.com/#!18/60763/2. T-SQL/Microsoft SQL Server Management Studio 2016.
You can use:
order by (case when carrots > 0 then 1 else 0 end) + (case when potatoes > 0 then 1 else 0 end) desc
Or, if that is too much typing:
order by sign(carrots) + sign(potatoes) desc
You can simple do sum :
order by carrots + potatoes desc
I'd like to update approximately the first X number of rows in a table but I want to always update all rows with a matching column at the same time. So if my table has:
MyID Transaction Amount Date Status
1 1 2 02/08/2016 0
1 1 4 02/08/2016 0
2 4 1 02/08/2016 0
2 3 2 02/08/2016 0
3 10 1 02/08/2016 0
3 6 4 02/08/2016 0
I want to update Status to 1 on approximately the first 5 rows, but I don't want to split up matching MyID values, how can I do that? I could update the first 4 or 6 in this example.
Here is one method:
update t
set status = 1
where myId in (select top 5 MyId from t order by MyId);
I have 1 Virtual cube consists of 2 cubes.
Example of fact table of 1st cube.
id object_id time_id date_id state
1 10 2 1 0
2 11 5 1 0
3 10 7 1 1
4 10 3 1 0
5 11 4 1 0
6 11 7 1 1
7 10 8 1 0
8 11 5 1 0
9 10 7 1 1
10 10 9 1 2
Where State: 0 - Ok, 1 - Down, 2 - Unknown
For this cube I have one measure StateCount it should count States for each object_id.
Here for example we have such result:
for 10 : 3 times Ok , 2 times Down, 1 time Unknown
for 11 : 3 times Ok , 1 time Down
Second cube looks like this:
id object_id time_id date_id status
1 10 2 1 0
2 11 5 1 0
3 10 7 1 1
4 10 3 1 1
5 11 4 1 1
Where Status: 0 - out, 1 - in. I keep this in StatusDim.
In this table I keep records that should not be count. If object have status 1 that means that I have exclude it from count.
If we intersect these tables and use StateCount we will receive this result:
for 10 : 2 times Ok , 1 times Down, 1 time Unknown
for 11 : 2 times Ok , 1 time Down
As far as i know, i must use calculated member with IIF condition. Currently I'm trying something like this.
WITH MEMBER [Measures].[StateTimeCountDown] AS(
iif(
[StatusDimDown.DowntimeHierarchy].[DowntimeStatus].CurrentMember.MemberValue
<> "in"
, [Measures].[StateTimeCount]
, null )
)
The multidimensional way to do this would be to make attributes from your state and status columns (hopefully with user understandable members, i. e. using "Ok" and not "0"). Then, you can just use a normal count measure on the fact tables, and slice by these attributes. No need for complex calculation definitions.