Closed philbooth closed 6 years ago
It seemed like that day imported way quicker than any of the other days I've watched come in, which concerned me at first. But then it looks like there are plenty of events, so maybe I imagined it:
fxa=# select timestamp::date, count(*)
fxa-# from flow_events
fxa-# where timestamp >= '2017-12-16'
fxa-# and timestamp < '2017-12-21'
fxa-# group by 1
fxa-# order by 1;
timestamp | count
------------+----------
2017-12-16 | 24659955
2017-12-17 | 23040327
2017-12-18 | 34078247
2017-12-19 | 31106960
2017-12-20 | 29960373
(5 rows)
Closing this, things seem fine in Redshift and the raw CSV for that day is bigger than the available space on my machine, so it's tricky to have a look at the raw data. (I did kick off a grep on the server an hour ago, still waiting for it to finish)
Just saw this in the log for the flow import:
Not sure what effect if any that's had on the data in Redshift yet, digging in to it now.