Shift-Change Reporting Repeatedly Stalled
Every day at shift change, production-floor reporting queries against the ASE 16 instance would slow to a crawl for 20–30 minutes, disrupting supervisors who needed real-time throughput data.
A manufacturing group's ASE 16 instance suffered unpredictable slowdowns during shift-change reporting. Named-cache reconfiguration and tempdb optimization stabilized performance for good.
Every day at shift change, production-floor reporting queries against the ASE 16 instance would slow to a crawl for 20–30 minutes, disrupting supervisors who needed real-time throughput data.
The tempdb configuration had not been revisited since the original ASE install years earlier, while reporting query volume and the complexity of temp table usage had grown substantially.
All databases — OLTP production data, reporting tables, and tempdb — shared the single default data cache, meaning heavy reporting scans were repeatedly evicting pages the production floor's transactional workload needed.
Every configuration change was validated against captured MDA data from the actual shift-change window before being applied to production.
Captured MDA metrics — tempdb space usage, cache hit ratios, and lock contention — specifically during the shift-change reporting window to see the actual behavior driving the slowdown, not a generalized average.
Configured separate named caches for the reporting database and tempdb, isolating heavy reporting scans from the production OLTP data cache so one workload could no longer evict pages the other depended on.
Resized tempdb and spread it across multiple devices to reduce allocation contention, and adjusted its own named cache to reflect the actual temp table volume generated by shift-change reports.
Reviewed the heaviest shift-change reporting queries for unnecessary temp table materialization, reducing tempdb pressure at the source rather than only compensating for it at the configuration level.
Added tempdb space and cache hit ratio alerting at defined watermarks so any future drift toward contention would be caught proactively instead of surfacing as a repeat incident.
"It had become normal to just wait out the slow patch every shift change. Once we understood it was cache contention and not 'the database being slow,' the fix was straightforward." — OptiSol Sybase DBA Lead
Let's Talk
Tell us what you are running today and where you need expert support.
"*" indicates required fields
Global Presence
Five global locations. One connected engineering team.
North America
Chennai · Coimbatore
Client services
Regional operations
Client services