Hi,
Looking forward to learn from you guys. I am stucked at this calculation: Total of product in contract.
I made a simple dataset to simplify my data.
| makeresults
| eval date = "2017-01-30" , source = "a", id="111"
| makemv delim="," id
| makemv delim="," date
| makemv delim="," source
| append
[| makeresults
| eval date = "2017-01-30" , source = "b", id="222"
| makemv delim="," id
| makemv delim="," date
| makemv delim="," source]
| append
[| makeresults
| eval date = "2019-08-20" , source = "a", id="333"
| makemv delim="," id
| makemv delim="," date
| makemv delim="," source]
| append
[| makeresults
| eval date = "2020-01-20" , source = "a", id="444"
| makemv delim="," id
| makemv delim="," date
| makemv delim="," source]
| append
[| makeresults
| eval date = "2020-03-20" , source = "b", id="555"
| makemv delim="," id
| makemv delim="," date
| makemv delim="," source]
INPUT: let's image _time is date time of buying record
_time | signed contract date | id | source |
2020-10-30 14:55:55 | 2017-01-30 | 111 | a |
2020-10-30 14:55:55 | 2017-01-30 | 222 | b |
2020-08-30 14:55:55 | 2019-08-20 | 333 | a |
2020-01-30 14:55:55 | 2020-01-20 | 444 | a |
2020-09-30 14:55:55 | 2020-03-20 | 555 | b |
The expected output: Count total product in contract from 12/2019 to 03/2020
Time | total_nb_product | Source |
12/2019 | 2 | a |
12/2019 | 1 | b |
01/2020 | 3 | a |
01/2020 | 1 | b |
02/2020 | 3 | a |
02/2020 | 1 | b |
03/2020 | 3 | a |
03/2020 | 2 | b |
Thank for your time and hope to received your suggestion.
Great weekend
| makeresults
| eval date = "2017-01-30" , source = "a", id="111"
| makemv delim="," id
| makemv delim="," date
| makemv delim="," source
| append
[| makeresults
| eval date = "2017-01-30" , source = "b", id="222"
| makemv delim="," id
| makemv delim="," date
| makemv delim="," source]
| append
[| makeresults
| eval date = "2019-08-20" , source = "a", id="333"
| makemv delim="," id
| makemv delim="," date
| makemv delim="," source]
| append
[| makeresults
| eval date = "2020-01-20" , source = "a", id="444"
| makemv delim="," id
| makemv delim="," date
| makemv delim="," source]
| append
[| makeresults
| eval date = "2020-03-20" , source = "b", id="555"
| makemv delim="," id
| makemv delim="," date
| makemv delim="," source]
| eval Time=round(relative_time(strptime(date,"%Y-%m-%d"),"@mon"))
| makecontinuous Time span=1mon
| fields - _time date
| eventstats values(source) as sources
| mvexpand sources
| eval source=coalesce(source, sources)
| eval id=if(source=sources,id,null)
| fields - source
| rename sources as Source
| stats values(id) as id by Time Source
| streamstats count(id) as total_nb_product by Source
| fields Time total_nb_product Source
| fieldformat Time=strftime(Time,"%m/%Y")
| makeresults
| eval date = "2017-01-30" , source = "a", id="111"
| makemv delim="," id
| makemv delim="," date
| makemv delim="," source
| append
[| makeresults
| eval date = "2017-01-30" , source = "b", id="222"
| makemv delim="," id
| makemv delim="," date
| makemv delim="," source]
| append
[| makeresults
| eval date = "2019-08-20" , source = "a", id="333"
| makemv delim="," id
| makemv delim="," date
| makemv delim="," source]
| append
[| makeresults
| eval date = "2020-01-20" , source = "a", id="444"
| makemv delim="," id
| makemv delim="," date
| makemv delim="," source]
| append
[| makeresults
| eval date = "2020-03-20" , source = "b", id="555"
| makemv delim="," id
| makemv delim="," date
| makemv delim="," source]
| eval Time=round(relative_time(strptime(date,"%Y-%m-%d"),"@mon"))
| makecontinuous Time span=1mon
| fields - _time date
| eventstats values(source) as sources
| mvexpand sources
| eval source=coalesce(source, sources)
| eval id=if(source=sources,id,null)
| fields - source
| rename sources as Source
| stats values(id) as id by Time Source
| streamstats count(id) as total_nb_product by Source
| fields Time total_nb_product Source
| fieldformat Time=strftime(Time,"%m/%Y")
Great ideal ITWhisperer,
It is exactly what i am looking for. I am developing a sum count between date, but your solution is straightforward and much better. Hope to see you arround very soon