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help / color / mirror / Atom feedFrom: Rita <[email protected]>
To: [email protected]
Subject: selecting a materialized view function, plpgsql
Date: Wed, 22 May 2024 16:41:29 -0400
Message-ID: <CAOF-KfioWjnYUXheWoZK_Zu+2YpK1weRWt--bc-w_ka8Tr8Bjw@mail.gmail.com> (raw)
Hello.
I am using timescaledb with grafana. I am at a point where my telemetry
data is very large. I collect a metric every 1 second so per 1 day I have
close to (3600*24), 86400 points. Graphing them on grafana has become a
challenge because postgresql can't keep up. Especially when I want to view
a 7 day or 30 day summary.
To fix this, I created materialized views and they seem to be working but
its quite error prone when I try to implement this in Grafana. So I decided
to take the plpgsql route.
I have a function which looks like this
create or replace function nview(from_millis BIGINT,to_millis BIGINT)
RETURNS SETOF record as $$
DECLARE
day_diff INTEGER;
query TEXT;
BEGIN
day_diff := (to_millis - from_millis) / (1000*3600*24);
IF day_diff >=10 THEN
-- run query which has 1 day averages
ELSIF day_diff BETWEEN 4 AND 10 THEN
-- run query which has 6 hour summaries
ELSE
-- run whatever
END IF;
RETURN QUERY EXECUTE query;
END;
$$ LANGUAGE plpgsql;
Was wondering is this a good approach? Have anyone else used Grafana with
Postgresql?
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