Write-heavy ETL jobs filling the data directory or WAL directory. Log files or temporary files consuming the remaining disk space. Inadequate disk provisioning for the data volume. Replication lag causing WAL files to accumulate

Step 1: Free disk space immediately — remove old logs, temporary files, or unused tablespaces.. Step 2: Run `VACUUM FULL` on large tables to reclaim space from dead tuples.. Step 3: Increase disk capacity on the server or add a new tablespace on a separate mount.. Step 4: Set up disk usage alerts to warn before reaching critical thresholds.. Step 5: Review WAL retention settings if a replication slot is holding WAL files.

Critical severitycapacity

Power BI Refresh Error:
53100

What does this error mean?

The PostgreSQL server cannot write data because the disk is full.

Common causes

1Write-heavy ETL jobs filling the data directory or WAL directory
2Log files or temporary files consuming the remaining disk space
3Inadequate disk provisioning for the data volume
4Replication lag causing WAL files to accumulate

How to fix it

1Step 1: Free disk space immediately — remove old logs, temporary files, or unused tablespaces.
2Step 2: Run `VACUUM FULL` on large tables to reclaim space from dead tuples.
3Step 3: Increase disk capacity on the server or add a new tablespace on a separate mount.
4Step 4: Set up disk usage alerts to warn before reaching critical thresholds.
5Step 5: Review WAL retention settings if a replication slot is holding WAL files.

Frequently asked questions

How do I prevent 53100 errors in automated pipelines?

Add retry logic with exponential backoff, validate data quality before loading, and monitor pipeline failures in MetricSign to catch this error early.

Official documentation: https://www.postgresql.org/docs/current/errcodes-appendix.html