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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