Database Connection Pooling: We Benchmarked 7 Strategies So You Don’t Have To
The article discusses the importance of database connection pooling strategies for improving application performance. It highlights a significant throughput difference of 312% between the best and worst strategies tested under real production conditions. The author shares insights from benchmarking seven different connection pooling approaches to address issues faced during high traffic events.
- ▪The default HikariCP configuration led to connection pool exhaustion during high traffic, causing user errors.
- ▪Seven different connection pooling strategies were tested, revealing a substantial performance gap.
- ▪The best strategy outperformed the worst by 312% under the same database and hardware conditions.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3844864) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } speed engineer Posted on May 19 • Originally published at Medium Database Connection Pooling: We Benchmarked 7 Strategies So You Don’t Have To #architecture #backend #database #performance The 312% throughput difference between worst and best — real production data reveals which pooling strategy matches your workload Database Connection Pooling: We Benchmarked 7 Strategies So You Don’t Have To The 312% throughput difference between worst and best — real production data reveals which…
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