On Mon, Aug 01, 2016 at 3:04 PM, Sean Beckett<[email protected]>wrote:
Please open a feature request for this function, as GitHub is a better place to discuss possible improvements to functionality.

On Mon, Aug 1, 2016 at 1:26 PM, <conrad@superhuman.com> wrote:
Hi Influx,

Right now for performance graph we use a format that's the inverse of percentiles. e.g. We define "great" performance as taking less than 25ms, "good" as <50ms, "ok" as <100ms, "bad" as <1s, and "awful" for everything else.

The advantage of this is that it's easy to see "how well are we doing?" because you end up with a colourful stacked graph, and humans are pretty good at relative area perception. The result looks like this: http://imgur.com/a/MwdfB

The downside is that the queries needed to create these graphs are pretty verbose, and I need to use grafana's ability to render stacked graphs with a total of 100%.

SELECT count(value) FROM "ui.switch_thread" WHERE $timeFilter AND value <= 25 GROUP BY time($interval)
SELECT count(value) FROM "ui.switch_thread" WHERE $timeFilter AND value > 25 AND value <= 50  GROUP BY time($interval)
SELECT count(value) FROM "ui.switch_thread" WHERE $timeFilter AND value > 50 AND value <= 100  GROUP BY time($interval)
SELECT count(value) FROM "ui.switch_thread" WHERE $timeFilter AND value > 100 AND value <= 1000 GROUP BY time($interval)
SELECT count(value) FROM "ui.switch_thread" WHERE $timeFilter AND value > 1000 GROUP BY time($interval)

What I would really like is a function that lets me calculate these graphs directly without using the WHERE clause, so I can combine all 6 queries into one continuous query, and maintain these graphs directly in Influxdb:

SELECT PERCENTAGE_BETWEEN(value, 0, 25),
              PERCENTAGE_BETWEEN(value, 25, 50),
              PERCENTAGE_BETWEEN(value, 50, 100),
              PERCENTAGE_BETWEEN(value, 100, 1000),
              PERCENTAGE_BETWEEN(value, 1000, 10000000000000)
FROM "ui.switch_thread" WHERE $timeFilter;

Would anyone else be interested in this function, or is there a way of calculating it without using the WHERE clause that already exists?

Thanks,

Conrad

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