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== Grafana > Dashboards > Settings > Variables == | == Grafana > Dashboards > Settings > Variables == | ||
<blockquote> | |||
<pre> | |||
topic = SELECT DISTINCT topic FROM "sensor_data" | |||
</pre> | |||
</blockquote> | |||
== Number of values per topic == | |||
<blockquote> | |||
<pre> | |||
SELECT topic, COUNT(*) AS num | |||
FROM process_value | |||
GROUP BY topic | |||
ORDER BY num DESC; | |||
</pre> | |||
</blockquote> | |||
== Continuous aggregates == | == Continuous aggregates == |
Latest revision as of 16:53, 15 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, created_timestamp TIMESTAMPTZ DEFAULT CURRENT_TIMESTAMP NOT NULL, UNIQUE(topic) );
- create data table
CREATE TABLE IF NOT EXISTS process_value_numeric ( timestamp TIMESTAMPTZ NOT NULL, topic_id INTEGER NOT NULL REFERENCES topic(id), value DOUBLE PRECISION NULL, UNIQUE(timestamp, topic_id) ); CREATE TABLE IF NOT EXISTS process_value_text ( timestamp TIMESTAMPTZ NOT NULL, topic_id INTEGER NOT NULL REFERENCES topic(id), value TEXT NULL, UNIQUE(timestamp, topic_id) ); SELECT create_hypertable('process_value_numeric', 'timestamp'); SELECT create_hypertable('process_value_text', 'timestamp');
- insert sample topics
INSERT INTO topic (topic) VALUES ('uns/v1/home/plug-fridge/sensor/energy/state'), ('uns/v1/home/plug-f3e8e6-dishwasher/sensor/energy/state'), ('uns/v1/home/modbus-meter/sensor/total_import_kwh/state'), ('uns/v1/home/modbus-meter/sensor/total_system_power_w/state');
- insert sample data
INSERT INTO process_value_numeric (timestamp, topic_id, value) VALUES (now(), '1', '132'); INSERT INTO process_value_text (timestamp, topic_id, value) VALUES (now(), '1', '{some json}');
- insert data with topic_id lookup
-- step 1: insert topic if not exists INSERT INTO topic (topic) SELECT 'uns/v1/home/plug-fridge/sensor/energy/state' WHERE NOT EXISTS ( SELECT 1 FROM topic WHERE topic = 'uns/v1/home/plug-fridge/sensor/energy/state' ); -- step 2: insert data point INSERT INTO process_value_numeric (timestamp, topic_id, value) VALUES ( NOW(), (SELECT id FROM topic WHERE topic = 'uns/v1/home/plug-fridge/sensor/energy/state'), 2135.5 );
- create view to show process value together with topic name
CREATE VIEW process_value_numeric_with_topic AS SELECT pv.timestamp, t.topic, pv.value FROM "process_value_numeric" pv INNER JOIN topic t ON pv.topic_id = t.id
- create view to show process value (numeric + text) together with topic name
CREATE VIEW process_value_with_topic AS SELECT pv.timestamp, t.topic, pv.value FROM ( SELECT timestamp, topic_id, value::TEXT FROM process_value_numeric UNION ALL SELECT timestamp, topic_id, value FROM process_value_text ) as pv INNER JOIN topic t ON pv.topic_id = t.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"
Number of values per topic
SELECT topic, COUNT(*) AS num FROM process_value GROUP BY topic ORDER BY num DESC;