Linux/TimescaleDB: Difference between revisions
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== Time bucket == | |||
* https://docs.timescale.com/use-timescale/latest/time-buckets/about-time-buckets/ | |||
* 15min average time_buckets<pre> | |||
SELECT time_bucket('15 minute', time) as fifteen_min, | |||
avg(value) AS avg_value | |||
FROM "sensor_data" | |||
WHERE "topic" = 'home/plug-c86044-fridge/sensor/power' | |||
GROUP by fifteen_min | |||
ORDER by fifteen_min DESC | |||
LIMIT 50 | |||
</pre> | |||
== Counters == | |||
* https://github.com/timescale/timescaledb-toolkit/blob/main/docs/counter_agg.md | |||
== first() + last () == | |||
* | |||
== Links == | == Links == |
Revision as of 11:41, 13 October 2024
Setup
CREATE TABLE sensor_data ( time TIMESTAMPTZ NOT NULL, topic TEXT, value DOUBLE PRECISION );
SELECT create_hypertable('sensor_data', 'time');
Insert data via Node-RED
INSERT INTO sensor_data (time, topic, value) VALUES ( now(), '{{{ msg.topic }}}', '{{{ msg.payload }}}' );
Get table size
SELECT hypertable_size('sensor_data');
Time bucket
- https://docs.timescale.com/use-timescale/latest/time-buckets/about-time-buckets/
- 15min average time_buckets
SELECT time_bucket('15 minute', time) as fifteen_min, avg(value) AS avg_value FROM "sensor_data" WHERE "topic" = 'home/plug-c86044-fridge/sensor/power' GROUP by fifteen_min ORDER by fifteen_min DESC LIMIT 50