Linux/TimescaleDB: Difference between revisions

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SELECT time_bucket('15 minute', time) as fifteen_min,
SELECT time_bucket('1 hour', timestamp) as time,
   avg(value) AS avg_value
   avg(value) AS avg_value
FROM "sensor_data"
FROM sensor_data
WHERE "topic" = 'home/plug-c86044-fridge/sensor/power' AND $__timeFilter("time")
WHERE
GROUP by fifteen_min
  topic = 'home/modbus-meter/sensor/total_system_power_w/state'
  AND  
  $__timeFilter("timestamp")
GROUP by time
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</blockquote>
</blockquote>

Revision as of 18:34, 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('1 hour', timestamp) as time,
  avg(value) AS avg_value
FROM sensor_data
WHERE
  topic = 'home/modbus-meter/sensor/total_system_power_w/state'
  AND 
  $__timeFilter("timestamp")
GROUP by time

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