Linux/TimescaleDB: Difference between revisions
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== Time | == Time buckets == | ||
* https://docs.timescale.com/use-timescale/latest/time-buckets/about-time-buckets/ | * https://docs.timescale.com/use-timescale/latest/time-buckets/about-time-buckets/ | ||
* https://docs.timescale.com/use-timescale/latest/time-buckets/use-time-buckets/ | |||
* 15min average time_buckets | * 15min average time_buckets | ||
<blockquote> | |||
<pre> | <pre> | ||
SELECT time_bucket('15 minute', time) as fifteen_min, | SELECT time_bucket('15 minute', time) as fifteen_min, | ||
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LIMIT 50 | LIMIT 50 | ||
</pre> | </pre> | ||
</blockquote> | |||
== Counters == | == Counters == | ||
* https://github.com/timescale/timescaledb-toolkit/blob/main/docs/counter_agg.md | * https://github.com/timescale/timescaledb-toolkit/blob/main/docs/counter_agg.md | ||
* https://stackoverflow.com/questions/76774353/get-complete-hours-time-buckets-with-timescaledb : | |||
<blockquote> | |||
<pre> | |||
SELECT time_bucket('1 hour', time) as bucket, | |||
first(time,time) as period_begin, | |||
last(time,time) as period_end, | |||
MAX(counter) - MIN(counter) as total_consumption | |||
FROM | |||
GROUP BY 1; | |||
</pre> | |||
</blockquote> | |||
== first() + last () == | == first() + last () == | ||
* | |||
* | == Continuous aggregates == | ||
* https://docs.timescale.com/tutorials/latest/energy-data/dataset-energy/ | |||
== Links == | == Links == |
Latest revision as of 13:36, 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 buckets
- https://docs.timescale.com/use-timescale/latest/time-buckets/about-time-buckets/
- https://docs.timescale.com/use-timescale/latest/time-buckets/use-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
Counters
- https://github.com/timescale/timescaledb-toolkit/blob/main/docs/counter_agg.md
- https://stackoverflow.com/questions/76774353/get-complete-hours-time-buckets-with-timescaledb :
SELECT time_bucket('1 hour', time) as bucket, first(time,time) as period_begin, last(time,time) as period_end, MAX(counter) - MIN(counter) as total_consumption FROM GROUP BY 1;