Poorly Designed Indexes? Discover How They Destroy Your Database’s Performance

June 25, 2025 | by dbsnoop

Poorly Designed Indexes? Discover How They Destroy Your Database's Performance

The Invisible Root of Slowness

Few things silently impact a database’s performance as much as poorly designed indexes. They are among the main culprits for slow queries, excessive CPU usage, and overall system degradation.

And the worst part: they usually don’t trigger visible alerts. Often, everything seems normal until, at a critical moment, the database stops responding as it should. The application freezes, response times skyrocket, and no one understands why.

Even with available computing resources, an inefficient index can bottleneck simple operations. It’s like the entire environment is “driving with the handbrake on”—and the metrics don’t show it clearly.

What Makes an Index Inefficient?

Poorly planned indexes stem from various scenarios: low-selectivity fields, excessive redundant indexes, lack of adequate coverage, or simple oversight during creation.

A common mistake is indexing fields used in filters but ignoring those used in sorting or joins. Another classic issue is the absence of composite indexes that could cover entire queries.

In write-intensive databases, too many indexes also hurt performance, as each insert, update, or delete has to update them all.

Another critical factor is maintenance. Even indexes that initially made sense can become obsolete as the system evolves, access patterns change, or the dataset grows. What worked for a thousand rows may be a problem with one hundred million.

How to Identify a Problematic Index

  • Queries performing full scans on large tables
  • Executions with disproportionate CPU usage
  • EXPLAIN plans that completely ignore existing indexes
  • Presence of multiple indexes with similar prefixes but no performance gain

These symptoms indicate structural indexing issues. Often, the problem lies in not aligning indexes with real data access patterns.

Regular analysis of query execution plans—especially for business-critical queries—is essential to detect inefficiencies that might go unnoticed in low-visibility environments.

Diagnosis Is Not Guesswork: It’s Observability

The solution starts with visibility. Knowing which queries are slow is the first step, but the breakthrough comes when you can see which ones are ignoring indexes, forcing unnecessary scans, or using inefficient execution plans.

With dbsnOOp Flightdeck, you can clearly map this out:

  • View queries by execution time and volume of data read
  • Identify whether indexes are being used or ignored
  • Discover which indexes are actively used and which are obsolete

This allows action based on real data—not guesswork.

Additionally, the ability to correlate usage patterns with peak times enables proactive analysis. You’re not just fixing failures; you’re preventing bottlenecks before they affect application performance.

Real Cases: The Difference Between Intuition and Diagnosis

A SaaS company faced progressive performance degradation. Analysis revealed that 70% of the slowest queries were performing full scans on a 40-million-row table. The index existed—but in the wrong order.

Another case involved a startup applying five different indexes on the same table, all partially used. The result: each write took three times longer than necessary.

Both issues were resolved in less than a day with the visibility offered by Flightdeck.

What to Do to Fix and Prevent

  • Regularly audit your indexes based on real queries
  • Avoid generic indexing—index based on common filters, joins, and sorting
  • Eliminate unused or redundant indexes
  • Consider composite indexes when applicable
  • Measure the impact of changes through observability

Performance Lives in the Details

Poorly designed indexes are like sand in the gears. Seemingly minor, but capable of halting entire systems.

With the right approach and tools like dbsnOOp Flightdeck, you can quickly identify and fix these choke points.

The difference between a performant environment and one running on the edge may lie in subtle details of your indexing strategy. Ignoring this means accepting mediocre performance as the norm.

Want to understand how your database might be affected? Schedule a meeting with our specialist or watch a practical demo.

Schedule a demo here.

Learn more about Flightdeck!

Learn about database monitoring with advanced tools here.

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