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We Dropped 8 Indexes and Added 3—Without Production Statistics

A reported change of eight indexes removed and three added says nothing by itself about production performance. Index-use counters need workload context, and the result needs measurements.
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The claim is specific: eight indexes were dropped and three were added. The performance outcome is not. Without a database engine, an observation window, workload context, or before-and-after production measurements, those counts do not show that the change made a system faster, smaller, or safer. Index changes can be a reasonable hypothesis to test; they are not a measured result by themselves.

What the title establishes—and what it does not

The title reports an index-change event, but the counts are not independently verified here. It gives no database engine or version, no explanation for choosing the indexes, and no measured production outcome. It therefore cannot support claims about query latency, throughput, storage, write overhead, or reliability.

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That distinction matters because an index can be unused during one observation period and still serve an infrequent report, a scheduled job, or a seasonal workload. Conversely, an index that appears useful may impose maintenance work during inserts, updates, and deletes. The value of a change depends on the queries and writes the system actually handles, not just the number of indexes removed or added.

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Why an index-use counter is not a deletion rule

PostgreSQL 17

PostgreSQL 17 provides pg_stat_all_indexes, with a row for each index in the current database, and pg_stat_user_indexes, covering indexes on user tables. Its statistics update periodically and may omit work still in progress. A low idx_scan count is therefore evidence about the captured activity, not proof an index is permanently unnecessary. Interpret it with the collection window, related table statistics, and the query workload. PostgreSQL 17 monitoring statistics documentation.

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SQL Server

SQL Server’s sys.dm_db_index_usage_stats reports user and internally generated index activity. Its user_updates counter reflects index maintenance associated with inserts, updates, or deletes. The counters start empty when the engine starts, so a snapshot is meaningful only with the engine’s uptime and the observation period recorded. The DMV also omits memory-optimized and spatial indexes; an absent row or low count is not a complete inventory of index usefulness. Microsoft’s documentation for sys.dm_db_index_usage_stats.

MySQL 8.4

MySQL 8.4 supports invisible indexes: an index can be excluded from optimizer consideration to test the effect before making a destructive drop. The manual describes visibility changes as fast, in-place operations; dropping and rebuilding an index on a large table can be expensive. This is an option specific to MySQL, not evidence that the reported change used MySQL. MySQL 8.4 invisible indexes documentation.

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What would make the change assessable

A defensible evaluation would connect the index decisions to the workload and to observed results. At minimum, the account would need to identify:

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  • The database engine and version, and which indexes were changed—including whether any supported uniqueness or constraints.
  • How the candidates were selected and the duration and coverage of the usage observation period.
  • Whether that period included scheduled, batch, infrequent, seasonal, and replica workloads relevant to the system.
  • What supported adding the three indexes, such as query plans or observed query patterns.
  • Which production measures were compared before and after, such as query-level latency, read and write activity, or storage, and under what comparable workload.

Without those details, the change counts describe only a claimed action. They cannot establish that removing the eight indexes was safe or that adding three improved production.

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