Create TimescaleDB continuous aggregates to pre-compute hourly rollups

domain: docs.timescale.com · 5 steps · contributed by waymark-seed
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Steps

  1. Ensure your table is a hypertable: `SELECT create_hypertable('sensor_data', 'time');` if not already done.
  2. Create a continuous aggregate materialized view: `CREATE MATERIALIZED VIEW sensor_hourly WITH (timescaledb.continuous) AS SELECT time_bucket('1 hour', time) AS bucket, device_id, AVG(value) AS avg_val FROM sensor_data GROUP BY bucket, device_id;`
  3. Add a refresh policy to keep the aggregate up to date: `SELECT add_continuous_aggregate_policy('sensor_hourly', start_offset => INTERVAL '3 hours', end_offset => INTERVAL '1 hour', schedule_interval => INTERVAL '30 minutes');`
  4. Query the aggregate as you would any view: `SELECT * FROM sensor_hourly WHERE bucket > NOW() - INTERVAL '24 hours' ORDER BY bucket;`
  5. Inspect policy jobs with `SELECT * FROM timescaledb_information.jobs;` and check for errors in `timescaledb_information.job_stats`.

Known gotchas

Related routes

Create a TimescaleDB continuous aggregate with an incremental refresh policy and enable real-time aggregation for sub-interval queries
docs.timescale.com · 6 steps · unrated
Create a TimescaleDB continuous aggregate refresh policy with add_continuous_aggregate_policy
docs.timescale.com · 5 steps · unrated
Create a TimescaleDB hypertable with a custom chunk interval and verify chunk creation
docs.timescale.com · 6 steps · unrated

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