You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Comparing event counts between year, month and day data streams, historically there have been significant differences between yearly and monthly datasets where monthly and daily have been somewhat consistent. In most cases yearly < monthly activity which I assumed could be explained by dropped logs. However in 2020, yearly > monthly . Can you explain why these datasets might be so different and divergent from prior year trends?
For example:
select count(*) from githubarchive.year.2020;
892710157
select count(*) from githubarchive.month.2020*;
868383384
select count(*) from githubarchive.day.2020*;
870748296
The text was updated successfully, but these errors were encountered:
Comparing event counts between year, month and day data streams, historically there have been significant differences between yearly and monthly datasets where monthly and daily have been somewhat consistent. In most cases yearly < monthly activity which I assumed could be explained by dropped logs. However in 2020, yearly > monthly . Can you explain why these datasets might be so different and divergent from prior year trends?
For example:
select count(*) from
githubarchive.year.2020
;892710157
select count(*) from
githubarchive.month.2020*
;868383384
select count(*) from
githubarchive.day.2020*
;870748296
The text was updated successfully, but these errors were encountered: