Linux/TimescaleDB: Difference between revisions

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== Get table size ==
== Get table size ==
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= Query =
== Grafana timefilter macro ==
* limits query to timeframe selected in grafana
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<pre>
SELECT *
FROM sensor_data
WHERE (topic = 'home/modbus-meter/sensor/total_system_power_w/state'
AND $__timeFilter("time"))
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== Time buckets ==
== 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/
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   avg(value) AS avg_value
   avg(value) AS avg_value
FROM "sensor_data"
FROM "sensor_data"
WHERE "topic" = 'home/plug-c86044-fridge/sensor/power'
WHERE "topic" = 'home/plug-c86044-fridge/sensor/power' AND $__timeFilter("time")
GROUP by fifteen_min
GROUP by fifteen_min
ORDER by fifteen_min DESC
LIMIT 50
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Revision as of 18:30, 23 November 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');

Query

Grafana timefilter macro

  • limits query to timeframe selected in grafana
SELECT * 
FROM sensor_data 
WHERE (topic = 'home/modbus-meter/sensor/total_system_power_w/state' 
AND $__timeFilter("time")) 

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' AND $__timeFilter("time")
GROUP by fifteen_min

Counters

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;

first() + last ()

Grafana > Dashboards > Settings > Variables

  • topic = SELECT DISTINCT topic FROM "sensor_data"

Continuous aggregates

Links