Linux/TimescaleDB: Difference between revisions
Appearance
< Linux
mNo edit summary |
|||
Line 59: | Line 59: | ||
id SERIAL PRIMARY KEY, | id SERIAL PRIMARY KEY, | ||
topic TEXT NOT NULL, | topic TEXT NOT NULL, | ||
unique (topic) | unique (topic) | ||
); | |||
</pre> | </pre> | ||
</blockquote> | </blockquote> | ||
Line 68: | Line 69: | ||
CREATE TABLE IF NOT EXISTS process_value_numeric ( | CREATE TABLE IF NOT EXISTS process_value_numeric ( | ||
timestamp TIMESTAMPTZ NOT NULL, | timestamp TIMESTAMPTZ NOT NULL, | ||
topic_id INTEGER | topic_id INTEGER REFERENCES topic(id), | ||
value DOUBLE PRECISION NULL | value DOUBLE PRECISION NULL, | ||
UNIQUE(timestamp, topic_id) | |||
); | |||
</pre> | </pre> | ||
</blockquote> | </blockquote> | ||
= Insert data = | = Insert data = |
Revision as of 12:18, 5 January 2025
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
Option A: Simple table (with topic as text column
-- 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_numeric (topic, timestamp DESC);
- View table information
\d process_value_numeric
Option B: Linked tables (with topic as id)
- create topic table
CREATE TABLE IF NOT EXISTS topic ( id SERIAL PRIMARY KEY, topic TEXT NOT NULL, unique (topic) );
- create data tables
CREATE TABLE IF NOT EXISTS process_value_numeric ( timestamp TIMESTAMPTZ NOT NULL, topic_id INTEGER REFERENCES topic(id), value DOUBLE PRECISION NULL, UNIQUE(timestamp, topic_id) );
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;
first() + last ()
Grafana > Dashboards > Settings > Variables
- topic = SELECT DISTINCT topic FROM "sensor_data"