I'm new to SSAS so be gentle!
I have (simplified):
fact table that has an ID, start date, start datetime, end date, end datetime
A date dimension that has a granularity from Year to Calendar Date.
What I'd like to be able to do is get the count of ID per hour per date member/current member. However I'm not exactly sure how to get there.
Fact Table Example
ID
Start Date
End Date
Start DateTime
End DateTime
1
2022-01-01
2022-01-04
2022-01-01 23:00
2022-01-04 05:33
53
2022-01-01
2022-01-07
2022-01-01 04:00
2022-01-07 12:05
Wanted results:
Date
Hour
Count
2022-01-02
00:00
1
2022-01-02
01:00
1
2022-01-02
02:00
1
2022-01-02
03:00
1
2022-01-02
04:00
2
2022-01-02
05:00
2
I expect I need an hour dimension that somehow links to the date dimension and then some sort of measure that does a between comparison but not exactly sure how to go about this.
Any help is appreciated!
Edit: above tables may not be showing right for some reason. Looks great when I go to edit them...
Related
I am storing some telemetry data from some sensors in an SQL table (PostgreSQL) and I want to know how I can I write a query that will group the telemetry data using relational information from two other tables.
I have one table which stores the telemetry data from the sensors. This table contains three fields, one for the timestamp, one for the sensor ID, one for the value of the sensor at that time. The value column is an incrementing count (it only increases)
Telemetry table
timestamp
sensor_id
value
2022-01-01 00:00:00
5
3
2022-01-01 00:00:01
5
5
2022-01-01 00:00:02
5
6
...
...
...
2022-01-01 01:00:00
5
675
I have another table which stores the state of the sensor, whether it was stationary or in motion and the start/end dates of that particular state for that sensor:
**Status **table
start_date
end_date
status
sensor_id
2022-01-01 00:00:00
2022-01-01 00:20:00
in_motion
5
2022-01-01 00:20:00
2022-01-01 00:40:00
stationary
5
2022-01-01 00:40:00
2022-01-01 01:00:00
in_motion
5
...
...
...
...
The sensor is located at a particular location. The Sensor table stores this metadata:
**Sensor **table
sensor_id
location_id
5
16
In the final table, I have the shifts that occur in each location.
**Shift **table
shift
location_id
occurrence_id
start_date
end_date
A Shift
16
123
2022-01-01 00:00:00
2022-01-01 00:30:00
B Shift
16
124
2022-01-01 00:30:00
2022-01-01 01:00:00
...
...
...
...
...
I want to write a query so that I can retrieve telemetry data that is grouped both by the shifts at the location of the sensor as well as the status of the sensor:
sensor_id
start_date
end_date
status
shift
value_start
value_end
5
2022-01-01 00:00:00
2022-01-01 00:20:00
in_motion
A Shift
3
250
5
2022-01-01 00:20:00
2022-01-01 00:30:00
stationary
A Shift
25
325
5
2022-01-01 00:30:00
2022-01-01 00:40:00
stationary
B Shift
325
490
5
2022-01-01 00:40:00
2022-01-01 01:00:00
in_motion
B Shift
490
675
As you can see, the telemetry data would be grouped both by the information contained in the Shift table as well as the Status table. Particularly, if you notice the sensor was in a stationary status between 2022-01-01 00:20:00 and 2022-01-01 00:40:00, however if you notice the 2nd and 3rd rows in the above table, this is cut into two rows based on the fact that the shift had changed at 2022-01-01 00:30:00.
Any idea about how to write a query that can do this? That would be really appreciated, thanks!
I'm having trouble populating dates with variable cycle_base (day of week) and cycle_interval (days) columns in Google BigQuery SQL.
The idea is to populate a date array for 2022 for each product where the dates fall within the valid_from and valid_to dates and where the dates are generated with the respective cycle_interval
A snippet from my data looks like this:
cycle_base
valid_from
valid_to
cycle_interval
product
2016-09-19
2020-04-20
2022-12-31
7
A
2018-12-17
2020-01-27
2022-12-31
28
B
2019-12-30
2020-01-27
2022-12-31
56
C
I tried generating a date array and then joining those dates on the DAYOFWEEK, which ofcourse only works for rows with a interval of 7 days. But I can't seem to find a way to achieve the above with the other intervals.
Edit
Expected data for 2022:
The cycle_base represents the day of the week. The exact date is irrelevant really. Edit: The date represents the starting point from which to interval the weeks.
Product A starts on monday for every week.
Product B starts on monday for every 3 weeks.
Product C starts on monday for every 8 weeks.
date
product
dayofweek
cycle_interval
2022-01-03
A
monday
7
2022-01-10
A
monday
7
...
...
...
...
2022-01-03
B
monday
28
2022-01-17
B
monday
28
...
...
...
...
2022-01-03
C
monday
56
2022-02-21
C
monday
56
...
...
...
...
Hope someone can point me in the right direction :)
Thanks in advance,
Glenn
I have the following table
ID FromDate ToDate
1 2020-01-01 2020-12-31
1 2021-01-01 2021-12-31
1 2022-03-01 2022-12-31
If the difference between "ToDate" from any row and FromDate in the subsequent row is less than
30 days then I should get 1 row with FromDate and the second ToDate.
Below is what I would expect to get:
ID FromDate ToDate
1 2020-01-01 2021-12-31
1 2022-03-01 2022-12-31
Any suggestions would be greatly appreciated
Giving up after a few hours of failed attempts.
My data is in the following format - event_date can never be higher than create_date.
I'd need to calculate on a rolling n-day basis (let's say 3) the sum of units where the create_date and event_date were within the same 3-day window. The data is illustrative but each event_date can have over 500+ different create_dates associated with it and the number isn't constant. There is a possibility of event_dates missing.
So let's say for 2022-02-03, I only want to sum units where both the event_date and create_date values were between 2022-02-01 and 2022-02-03.
event_date
create_date
rowid
units
2022-02-01
2022-01-20
1
100
2022-02-01
2022-02-01
2
100
2022-02-02
2022-01-21
3
100
2022-02-02
2022-01-23
4
100
2022-02-02
2022-01-31
5
100
2022-02-02
2022-02-02
6
100
2022-02-03
2022-01-30
7
100
2022-02-03
2022-02-01
8
100
2022-02-03
2022-02-03
9
100
2022-02-05
2022-02-01
10
100
2022-02-05
2022-02-03
11
100
The output I'd need to get to (added in brackets the rows I'd need to include in the calculation for each date but my result would only need to include the numerical sum) . I tried calculating using either dates but neither of them returned the results I needed.
date
units
2022-02-01
100 (Row 2)
2022-02-02
300 (Row 2,5,6)
2022-02-03
300 (Row 2,6,8,9)
2022-02-04
200 (Row 6,9)
2022-02-05
200 (Row 9,11)
In Python I solved above with a definition that looped through filtering a dataframe for each date but I am struggling to do the same in SQL.
Thank you!
Consider below approach
with events_dates as (
select date from (
select min(event_date) min_date, max(event_date) max_date
from your_table
), unnest(generate_date_array(min_date, max_date)) date
)
select date, sum(units) as units, string_agg('' || rowid) rows_included
from events_dates
left join your_table
on create_date between date - 2 and date
and event_date between date - 2 and date
group by date
if applied to sample data in your question - output is
I am using SQL Server 2014.
What I'm trying to do is add a new time to an old datetime.
I'm not even sure if it's possible but I thought I'd ask the experts.
So these are what my columns look like:
CurrentDate | Hours | NewDate
2017-03-10 08:00:00 | 25 | ??
2017-01-01 10:00:00 | 27 | ??
What I want is the Hours to be converted to days and hours so it can be added to the CurrentDate to create a NewDate.
So the NewDate would be: 2017-03-11 09:00:00 because 25 hours equates to 1 day and 1 hour. And the second NewDate would be: 2017-01-02 01:00:00 because 27 equates to 1 day and 3 hours.
I actually don't think this is possible and there's a chance I might have to put the hours already converted into days and times but if that's the case, how would I write 25 hours? Would it be 00-00-01 01:00:00? And would 27 hours be 00-00-01 03:00:00 and then just add those values into CurrentDate?
Thanks! Feel free to tell me this has been asked before (I looked, but couldn't find anything as unique as this or maybe I didn't look hard enough) or if this can't be done.
You can simply use DATEADD, no need to convert the hours to days first:
SELECT CurrentDate,
Hours,
DATEADD(HOUR,Hours,CurrentDate) NewDate
FROM dbo.YourTable;
You can try this:
select DATEADD(HOUR,25,'2017-03-10 08:00:00') -- 2017-03-11 09:00:00.000
select DATEADD(HOUR,27,'2017-01-01 10:00:00') -- 2017-01-02 13:00:00.000