Simulating Expiry Time for Data Deletion in PostgreSQL
- You want to store data in a PostgreSQL database with an "expiry time."
- After that expiry time, the data entry should be automatically deleted.
What PostgreSQL doesn't have:
- PostgreSQL itself doesn't offer a direct way to set an expiry time for automatic deletion.
How to achieve it:
There are two main approaches:
Using a timestamp and a scheduled task:
- Add a column to your table to store the expiry time (e.g., "expiry_time").
- Write a separate program (often a cron job or a function in pgAgent) that runs periodically (daily, hourly, etc.).
- This program will query the table, find entries where the current time is past their "expiry_time," and delete them.
Using triggers (more advanced):
- Create a trigger that fires whenever a new entry is inserted.
- The trigger calculates the expiry time based on the current time and a pre-defined duration.
- It then stores this expiry time in the new entry's "expiry_time" column.
- You can optionally create another trigger that fires on every insert or update event and deletes entries whose "expiry_time" has passed.
Key terms:
- Database: A structured collection of data that allows for storage, retrieval, and management of information. PostgreSQL is a specific type of database.
- PostgreSQL: An open-source relational database management system (RDBMS).
- TTL (Time To Live): A concept used in computing to indicate the duration for which data remains valid before it's automatically removed.
Option 1: Using a timestamp and a scheduled task (cron job)
CREATE TABLE my_data (
id SERIAL PRIMARY KEY,
data TEXT,
expiry_time TIMESTAMP NOT NULL
);
Scheduled task (example using cron):
This is just an example, the actual scheduling will depend on your system. You'll need to create a separate script or program to run this logic periodically.
# Run this script daily at midnight (0 0 * * *)
0 0 * * * psql -h your_host -U your_user -d your_database -c "DELETE FROM my_data WHERE expiry_time < current_timestamp;"
This cron job will connect to PostgreSQL, delete entries from my_data
where the expiry_time
is earlier than the current timestamp.
Table with expiry time:
CREATE TABLE my_data (
id SERIAL PRIMARY KEY,
data TEXT,
expiry_time TIMESTAMP NOT NULL
);
Trigger on insert:
CREATE FUNCTION set_expiry() RETURNS TRIGGER AS $$
BEGIN
NEW.expiry_time = current_timestamp + interval '1 hour'; -- Set expiry 1 hour from now
RETURN NEW;
END;
$$ LANGUAGE plpgsql;
CREATE TRIGGER set_expiry_time
BEFORE INSERT ON my_data
FOR EACH ROW
EXECUTE PROCEDURE set_expiry();
This trigger calculates an expiry time one hour from the insert time and stores it in the expiry_time
column.
Optional: Trigger on update/insert (for deletion):
CREATE FUNCTION delete_expired() RETURNS trigger AS $$
BEGIN
DELETE FROM my_data WHERE expiry_time < current_timestamp;
RETURN NEW;
END;
$$ LANGUAGE plpgsql;
CREATE TRIGGER delete_on_expiry
AFTER INSERT OR UPDATE ON my_data
FOR EACH ROW
EXECUTE PROCEDURE delete_expired();
This trigger will fire on every insert or update event and will delete entries where the expiry_time
has passed.
- Using materialized views with cleanup jobs:
- Create a materialized view that reflects your desired data with an expiry filter (e.g., only shows entries not expired).
- Schedule a separate job (similar to the cron job in option 1) to periodically refresh the materialized view and potentially remove expired entries from the underlying tables.
- External queueing systems with worker processes:
- Integrate your application with a message queue (e.g., RabbitMQ, Kafka).
- When data is inserted or updated, send a message to the queue containing the data and its expiry time.
- Have a separate worker process constantly listen to the queue and process messages.
- The worker retrieves the data and expiry time from the message.
- It checks if the expiry has passed. If so, it deletes the data from the database.
- Application-level logic:
- Implement the expiry logic within your application code.
- When retrieving data from the database, check the "expiry_time" column and only use entries that are not expired.
- Optionally, your application can also handle deletion of expired data directly.
Choosing the right method depends on factors like:
- Frequency of expiry checks:
- Performance: Triggers can impact insert/update performance, while background jobs might add complexity.
- Application integration: Queueing systems work well with distributed applications.
database postgresql ttl