Linux/TimescaleDB

• Postgres

Setup Timescale for Unified Namespace data logging

• connect

psql -d "postgres://user:password@localhost/postgres"

• check

\dx                               # list extensions
\dt                               # list all tables

• Create database

# DROP DATABASE unifiednamespace;
CREATE DATABASE unifiednamespace OWNER user;
GRANT ALL PRIVILEGES ON DATABASE unifiednamespace TO user;

\c unifiednamespace               # switch to database 

Simple

• Create table

CREATE TABLE IF NOT EXISTS process_value_numeric (
        timestamp TIMESTAMPTZ NOT NULL,
        topic TEXT NOT NULL,
        value DOUBLE PRECISION NULL
);

• Create hypertable

SELECT create_hypertable('process_value_numeric', 'timestamp');

• Add index

CREATE INDEX ON process_value (topic, timestamp DESC);

• View table information

 \d process_value_numeric

Insert data

• via Node-RED

INSERT INTO process_value (timestamp, topic, value) VALUES (
    now(),
    '{{{ msg.topic }}}',
    '{{{ msg.payload }}}'
);

Get table size

SELECT hypertable_size('process_value');

Query

Grafana timefilter macro

• limits query to timeframe selected in grafana

SELECT * 
FROM process_value
WHERE (topic = 'home/modbus-meter/sensor/total_system_power_w/state' 
AND $__timeFilter("time")) 

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('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

Meter / increasing counter

• https://github.com/timescale/timescaledb-toolkit/blob/main/docs/counter_agg.md
• https://stackoverflow.com/questions/76774353/get-complete-hours-time-buckets-with-timescaledb
• https://docs.timescale.com/use-timescale/latest/query-data/advanced-analytic-queries/#calculate-the-increase-in-a-value

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;

Grafana > Dashboards > Settings > Variables

• topic = SELECT DISTINCT topic FROM "sensor_data"

Continuous aggregates

• https://docs.timescale.com/tutorials/latest/energy-data/dataset-energy/

Links

• https://docs.timescale.com/
• https://www.timescale.com/learn/time-series-basics
• https://www.timescale.com/learn/timescale-basics