To work around the issue, I created a materialized view that I can update periodically, and of course I can query said view in no time flat. However, I’m concerned that as the dataset grows, the time it takes to refresh the view will also grow (correct me if I am wrong there).
I'd probably turn that index into a foreign key that just ensures that every (station,channel) that appears in the data table also appears on the lookup table. Grouping and array-ifying the lookup table would be trivial. Either modify the application code or add a trigger to populate the lookup table as needed.
Makes sense. I was actually considering this approach (albeit without the foreign key - that’s a nice additional safety measure), but was concerned about the overhead that adding said trigger would have on inserts - thus my thought to try the materialized view. As a reference, this database is receiving 1Hz data from around 170 stations, with up to three channels of data per station. So something like 350-500 inserts per second, although the data is “grouped” into 10 minute batches. I’ll give it another look.
The parentheses around channel in "array_agg(distinct(channel))" are unnecessary - you are invoking composite-type syntax, which is ignored in the single column case unless you write the optional ROW keyword, i.e., distinct ROW(channel)
Good information, thanks!
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Israel Brewster
Software Engineer
Alaska Volcano Observatory
Geophysical Institute - UAF
2156 Koyukuk Drive
Fairbanks AK 99775-7320
Work: 907-474-5172
cell: 907-328-9145
