Hello,
After experiencing some strange behavior re-fetching pageview data, I am
wondering if it is possible that the daily pageview count for an article
could change *after* the data is originally published to the API.
For example, if I fetch the daily pageviews on an article for the date
14-08-23, and then re-fetch the daily pageviews for the same article in the
future, is it expected that the value for 14-08-23 could be different?
Is there a backfill or correction process that can update daily pageview
counts for days that are already available via the API?
Any information is appreciated!
Thanks,
Duncan
--
Duncan Grubbs
Software Engineer
he/him
E: duncan(a)predata.com <first.lastname(a)predata.com>
Time Zone: ET (UTC-5/-4)
predata.com <https://www.predata.com/>
Hello,
We have to perform some scheduled maintenance of the analytics client
servers <https://wikitech.wikimedia.org/wiki/Analytics/Systems/Clients>,
which are named stat100[4-9].
This maintenance requires a reboot of each server, so I'm planning to do
this next Monday the 14th of August at approximately 09:00 UTC.
I'll reboot each of the five servers in numeric sequence and I expect
the work to take no more than 1 hour in total.
Please do let me know if this will adversely impact your work and I will
try my best to work around your requirements.
I'll send another announcement nearer the time, as a reminder to save
any work that you may have in progress on these servers.
Kind regards,
Ben
--
*Ben Tullis*(he/him)
Senior Site Reliability Engineer
Wikimedia Foundation <https://wikimediafoundation.org/>
Hello all users of Airflow,
We need to perform some scheduled maintenance on all of our Airflow
instances, so I'm scheduling a maintenance window for tomorrow at 08:30
UTC and I expect the work to take no more than 30 minutes. The work
involves a reboot of the shared PostgreSQL database that serves all of
our instances, as well as a reboot of some instances themselves.
I will pause all active DAGs on all Airflow instances prior to the work,
allow some time for running tasks to complete, then un-pause the DAGs
afterwards.
Naturally, you are also free to pause your own DAGs prior to the
maintenance and un-pause them afterwards, should you wish to minimize
the risk of disruption.
Please do let me know if there is anything specific that you would like
me to check, either before or after this maintenance.
Kind regards,
Ben
--
*Ben Tullis*(he/him)
Senior Site Reliability Engineer
Wikimedia Foundation <https://wikimediafoundation.org/>