Keeping a gbase database cluster running smoothly in production isn't just about fixing problems — it's about having a solid routine for inspection, monitoring, slow‑query analysis, audit log usage, and tiered alerting. This article covers these five areas with practical, actionable steps.
1. Inspections Go Beyond Cluster Status — Cover Three Layers
Effective daily inspections span three layers: the cluster layer (node status, service processes), the database layer (slow SQL, connection counts, session states), and the system layer (CPU, memory, disk, I/O). Relying solely on gcadmin to check that the cluster is ACTIVE won't tell you why queries suddenly slowed or why one node consistently lags.
Essential daily inspection commands:
gcadmin
ps -ef | egrep 'gcware|gcluster|gnode'
tail -100 /opt/gbase/gcluster/log/system.log
tail -100 /opt/gbase/gcware/log/gcware.log
2. Prioritise Core Monitoring Metrics — Avoid Dashboard Clutter
Monitor the following five categories first, before expanding to a full dashboard:
| Category | Typical Metrics |
|---|---|
| Cluster availability | Node online, cluster ACTIVE |
| Resource pressure | CPU, memory, disk usage, I/O wait |
| SQL behaviour | Slow query count, execution duration |
| Connection status | Connection count, active sessions |
| Operational trails | Audit logs, backend errors |
Start by collecting per‑node CPU/memory/IO, cluster state, critical process liveness, disk usage, slow‑query statistics, and core‑log error counts. These alone often reveal issues before users notice.
3. Slow‑Query Monitoring: Record Them, Then Pinpoint Which Node
In a distributed gbase database, slow queries are often caused by just a few overloaded nodes. Enable slow‑query recording first:
SET GLOBAL gcluster_dql_statistic_threshold = 3000; -- record queries over 3 seconds
Then retrieve the recorded queries:
SELECT * FROM gclusterdb.sys_sqls ORDER BY create_time DESC LIMIT 20;
Capture the data first, observe the patterns, and only then decide whether to adjust parallelism, thread pools, or other parameters — never tune blindly.
4. Include Logs and Audit Trails in Routine Checks
Don't wait for a failure to read logs. Spot‑check for these signals daily: abnormal node states, repeated recovery messages, frequent internal errors, load anomalies, and audit export failures.
grep -i 'error' /opt/gbase/gcluster/log/system.log | tail -50
grep -i 'warn' /opt/gbase/gcware/log/gcware.log | tail -50
Audit logs are more than a compliance checkbox — they let you trace who did what and when, and can reveal bulk operations that preceded a slowdown. GBase 8a consolidates audit records into the audit_log_express table. Add audit export health, unexpected DDL/DML, and sudden audit volume spikes to your inspection list.
5. Tier Your Alerts to Prevent Fatigue
Group alerts into three severity levels:
- P1 – Critical: Node offline, cluster not ACTIVE, key process missing, disk full
- P2 – Important: Slow‑query surge, abnormal connection count, audit anomaly, excessive I/O
- P3 – Warning: Negative trends, fast disk growth, rising log alert frequency
For disk usage, trigger a P2 warning above 85% and a P1 critical alert above 95%.
6. Recommended Operational Cadence
-
Daily:
gcadmin, check key processes, review system logs, inspect disk space, look for abnormal slow‑query growth. - Weekly: Slow‑query trends, connection count changes, audit log spot‑check, node load balance, backup and data‑load task status.
- Monthly: Parameter baseline review, hardware health check, log alert trend analysis, alert threshold adjustments.
A stable gbase database isn't just about what you do when things break — it's about seeing the signals that were there all along. Build the routine, tier the alerts, and you'll catch most problems before they become incidents.
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