This is my query :
SELECT mean("value") FROM "autogen"."°C" WHERE ("entity_id" = 'shelly_1l_our_room_device_temperature') AND $timeFilter GROUP BY time($__interval) fill(null)
I'm trying to add a second query with the same data but 24h behind
I tried many thing but it's doesn't seems to work :
SELECT mean("value") FROM "autogen"."°C" WHERE ("entity_id" = 'shelly_1l_our_room_device_temperature') AND DATE_SUB(NOW(), INTERVAL 24 HOUR) GROUP BY time(20s) fill(null)
SELECT mean("value") FROM "autogen"."°C" WHERE ("entity_id" = 'shelly_1l_our_room_device_temperature') AND time >= now() - 48h and time <= now() - 24h GROUP BY time($__interval) fill(null)
As you can see I have barely no experience with InfluxQL.
Your syntax looks good to me. It might be the data itself which has some issues.
To confirm, could you please try this:
See whether there are some data from last 24 hours
SELECT "value" FROM "autogen"."°C"
WHERE ("entity_id" = 'shelly_1l_our_room_device_temperature') AND time >= now() - 24h
Apply the aggregate
SELECT mean("value") FROM "autogen"."°C"
WHERE ("entity_id" = 'shelly_1l_our_room_device_temperature') AND time >= now() - 24h
GROUP BY time(20s) FILL(null)
See more details here.
Related
I'm trying to retrieve the sum of same values that has the same timestamp.
My query is
SELECT value FROM dashboards WHERE time >= '2021-03-07T00:00:00Z' AND time <= '2021-03-09T00:00:00Z'
My returned values are
time value
---- -----
2021-03-07T00:00:00Z 1
2021-03-07T00:00:00Z 1
2021-03-07T00:00:00Z 1
2021-03-08T00:00:00Z 2
2021-03-08T00:00:00Z 2
2021-03-08T00:00:00Z 2
2021-03-09T00:00:00Z 3
2021-03-09T00:00:00Z 3
2021-03-09T00:00:00Z 3
How can I change my query the result will be
time sum
---- -----
2021-03-07T00:00:00Z 3
2021-03-08T00:00:00Z 6
2021-03-09T00:00:00Z 9
SELECT SUM(value) FROM dashboards WHERE time >= '2021-03-07T00:00:00Z' AND time <= '2021-03-09T00:00:00Z' GROUP BY time(1h) FILL(none)
GROUP BY time(1h) - group results by time column with interval of 1h
FILL(none) - ignore empty results
SELECT * FROM auto_sync WHERE time > UNIX_TIMESTAMP(NOW() - INTERVAL 1 HOUR);
I am trying to fetch data which get added in the past 1 hour from my query but it's throwing me an error on Internal 1. Thank you
Try this.
SELECT * FROM table_name
WHERE timestamp >= NOW() - INTERVAL 1 HOUR
ORDER BY timestamp DESC
SELECT *
FROM table_name
WHERE timestamp >= NOW() - INTERVAL 1 HOUR
ORDER BY timestamp DESC
try this maybe? not sure if timestamp or time, try with both
I am using influx db 1.0.2 version. when I query to get aggregate of 1 week. week of day starts from Thursday instead of monday/sunday.
SELECT SUM(value) FROM measurement_name WHERE time >= '2016-10-09T18:30:00Z' AND time < '2016-11-07T18:29:59Z' GROUP BY time(1w)
How it can be configured?
this ugly bug can be fixed by adding offset into grouping by time.
SELECT SUM(value) FROM measurement_name WHERE time >= '2016-10-09T18:30:00Z' AND time < '2016-11-07T18:29:59Z' GROUP BY time(1w, 4d)
for more information, click here
Using Influx DB v0.9, say I have this simple query:
select count(distinct("id")) FROM "main" WHERE time > now() - 30m and time < now() GROUP BY time(1m)
Which gives results like:
08:00 5
08:01 10
08:02 5
08:03 10
08:04 5
Now I want a query that produces points with an average of those values over 5 minutes. So the points are now 5 minutes apart, instead of 1 minute, but are an average of the 1 minute values. So the above 5 points would be 1 point with a value of the result of (5+10+5+10+5)/5.
This does not produce the results I am after, for clarity, since this is just a count, and I'm after the average.
select count(distinct("id")) FROM "main" WHERE time > now() - 30m and time < now() GROUP BY time(5m)
This doesn't work (gives errors):
select mean(distinct("id")) FROM "main" WHERE time > now() - 30m and time < now() GROUP BY time(5m)
Also doesn't work (gives error):
select mean(count(distinct("id"))) FROM "main" WHERE time > now() - 30m and time < now() GROUP BY time(5m)
In my actual usage "id" is a string (content, not a tag, because count distinct not supported for tags in my version of InfluxDB).
To clarify a few points for readers, in InfluxQL, functions like COUNT() and DISTINCT() can only accept fields, not tags. In addition, while COUNT() supports the nesting of the DISTINCT() function, most nested or sub-functions are not yet supported. In addition, nested queries, subqueries, or stored procedures are not supported.
However, there is a way to address your need using continuous queries, which are a way to automate the processing of data and writing those results back to the database.
First take your original query and make it a continuous query (CQ).
CREATE CONTINUOUS QUERY count_foo ON my_database_name BEGIN
SELECT COUNT(DISTINCT("id")) AS "1m_count" INTO main_1m_count FROM "main" GROUP BY time(1m)
END
There are other options for the CQ, but that basic one will wake up every minute, calculate the COUNT(DISTINCT("id")) for the prior minute, and then store that result in a new measurement, main_1m_count.
Now, you can easily calculate your 5 minute mean COUNT from the pre-calculated 1 minute COUNT results in main_1m_count:
SELECT MEAN("1m_count") FROM main_1m_count WHERE time > now() - 30m GROUP BY time(5m)
(Note that by default, InfluxDB uses epoch 0 and now() as the lower and upper time range boundaries, so it is redundant to include and time < now() in the WHERE clause.)
I can't seem to figure this one out. I'm trying to get the standard deviation of a column for the past 20 days. Here is what I have
Model.where('date < ?','2013-03-25')
.group('date')
.order('date DESC')
.limit(20)
.select('stddev_samp(percent_change) as stdev')
However all I'm getting is 20 entries of Nil. I was expecting 1 entry of the standard deviation.
After switching the stddev_samp to sum, I see that I'm getting nil because you can't have a standard deviation on 1 entry. I.e. It is not grouping the 20 as I expected, but calculating standard deviation on each date.
So my question is, how do I get stddev of the last 20 days? I know it's possible to simply choose select percent_change and then calculate the standard deviation in ruby, but I assume that the aggregate function stddev_samp should be usable in this case.
I am using rails 3.2 and Postgresql 9.2
I'm not a Ruby guy so I'll explain it in normal SQL:
What you're doing is:
SELECT stddev_samp(percent_change) as stdev
FROM tbl
WHERE date < '2013-03-25'
GROUP BY date
ORDER BY date DESC
LIMIT 20;
This calculates the deviation for each day seperately, not for the sum of them, and when you try to get the deviation of only one element you get NULL.
Removing the GROUP BY would fix it but also would return the result for the whole table not just last 20 entries so we need a subquery:
SELECT stddev_samp(percent_change) as stdev
FROM
(SELECT percent_change
FROM tbl
WHERE date < '2013-03-25'
ORDER BY date DESC
LIMIT 20) AS q
No need to 'Group By', 'Order by' or sub-selects. Just get the records for the last 20 days and run the aggregate function on them.
Ruby:
Model.where('date >= ?', Date.today - 20.days).select('stddev_samp(percent_change) as stdev').first['stdev']
SQL:
select stddev_samp(percent_change) as stdev
from <table>
where date >= now() - interval 20 day;
If you want to use the LAST 20 RECORDS, not last 20 days:
Ruby:
Model.order('date desc').limit(20).select('stddev_samp(percent_change) as stdev').first['stdev']
SQL:
select stddev_samp(percent_change) as stdev
from <table>
order by date desc
limit 20;
you don't need the group by since you don't want one value for each date.
also your limit might not work if you have multiple values for a date or have a date missing
try this:
SELECT stddev_samp(percent_change) as stdev
FROM
(SELECT percent_change
FROM tbl
WHERE date > now() - interval '20 days') AS q