gt;
> From: Peter Somogyi
> Sent: 15 November 2018 16:48
> To: dev@hbase.apache.org
> Subject: Re: [DISCUSS] Gathering metrics on HBase versions in use
>
> I like the idea to have some sort of metrics from the users.
>
> I agree with All
to PMC's mail list.
--
Best regards,
R.C
From: Peter Somogyi
Sent: 15 November 2018 16:48
To: dev@hbase.apache.org
Subject: Re: [DISCUSS] Gathering metrics on HBase versions in use
I like the idea to have some sort of metrics
I like the idea to have some sort of metrics from the users.
I agree with Allan that in many cases HBase cluster is in an internal
network making the data collection difficult or not even possible. It could
lead us to an incorrect view if these generally bigger clusters do not
appear in the
+1 on collecting the download information.
And collecting data when starting up is a bit dangerous I'd say, both
technically and legally...
Maybe a possible way is to add a link on the master state page, or some
ASCII arts in the master start log, to guide the people to our survey?
Allan Yang
I also think having metrics about the downloads from Apache/archives is a
doable action. Most HBase clusters are running in user's Intranet with no
public access, sending anonymous data from them may not be possible. And
also we need to find a way to obtain their authorization I think...
Best
Can we have metrics around the downloads from Apache/archives? I'm not sure
how that is all set up, but might be a low cost way to get some metrics.
On Wed, Nov 14, 2018, 12:12 PM Andrew Purtell While it seems you are proposing some kind of autonomous ongoing usage
> metrics collection, please
While it seems you are proposing some kind of autonomous ongoing usage
metrics collection, please note I ran an anonymous version usage survey via
surveymonkey for 1.x last year. It was opt in and there were no PII
concerns by its nature. All of the issues around data collection, storage,
and
When discussing the 2.0.x branch in another thread, it came up that we
don’t have a good way to understand the version skew of HBase across the
user base. Metrics gathering can be tricky. You don’t want to capture
personally identifiable information (PII) and you need to be transparent
about what
