TimescaleDB is an open-source time-series database optimized for fast ingest and complex queries. It is built on top of PostgreSQL, providing the reliability and robustness of a traditional relational database while offering the scalability and performance needed for time-series data. TimescaleDB is widely used for monitoring, IoT, finance, and other applications that require handling large volumes of time-stamped data efficiently.
When working with TimescaleDB, you might encounter the error code TSDB-028, which indicates an issue with job scheduling. This error typically manifests when a scheduled job fails to execute as expected, potentially disrupting automated tasks such as data retention policies, continuous aggregates, or custom user-defined jobs.
The TSDB-028 error code is often a result of incorrect job configurations or insufficient resources allocated for job execution. TimescaleDB relies on background workers to execute scheduled jobs, and any misconfiguration or resource limitation can lead to scheduling failures.
To address the TSDB-028 error, follow these steps to review and adjust your job configurations and resource allocations:
SELECT * FROM timescaledb_information.jobs; ALTER JOB command. For example: SELECT alter_job(job_id, schedule_interval => '1 hour'); max_worker_processes parameter in your postgresql.conf file.SELECT * FROM timescaledb_information.jobs WHERE next_start < now(); By carefully reviewing job configurations and ensuring adequate resources, you can resolve the TSDB-028 error and maintain smooth operation of your TimescaleDB scheduled jobs. For more detailed guidance, refer to the official TimescaleDB documentation.
(Perfect for DevOps & SREs)
(Perfect for DevOps & SREs)
