add_retention_policy()
Create a policy to drop chunks older than a given interval of a particular hypertable or continuous aggregate on a schedule in the background. (See drop_chunks). This implements a data retention policy and removes data on a schedule. Only one retention policy may exist per hypertable.
Required arguments
Name | Type | Description |
---|---|---|
relation | REGCLASS | Name of the hypertable or continuous aggregate to create the policy for. |
drop_after | INTERVAL or INTEGER | Chunks fully older than this interval when the policy is run are dropped |
The drop_after
parameter should be specified differently depending on the type of the time column of the hypertable:
- For hypertables with TIMESTAMP, TIMESTAMPTZ, and DATE time columns: the time interval should be an INTERVAL type.
- For hypertables with integer-based timestamps: the time interval should be an integer type (this requires the integer_now_func to be set).
Optional arguments
Name | Type | Description |
---|---|---|
if_not_exists | BOOLEAN | Set to true to avoid throwing an error if the drop_chunks_policy already exists. A notice is issued instead. Defaults to false. |
Returns
Column | Type | Description |
---|---|---|
job_id | INTEGER | TimescaleDB background job id created to implement this policy |
Sample usage
Create a data retention policy to discard chunks greater than 6 months old:
SELECT add_retention_policy('conditions', INTERVAL '6 months');
Create a data retention policy with an integer-based time column:
SELECT add_retention_policy('conditions', BIGINT '600000');
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