What are the common mistakes in SQL indexing?
An example of an AI chatbot conversation about common SQL indexing mistakes.
What are the common mistakes in SQL indexing?
Common mistakes in SQL indexing include over-indexing, under-indexing, and not considering query patterns.
Can you explain what over-indexing means?
Over-indexing occurs when too many indexes are created on a table, which can slow down write operations and increase storage.
What about under-indexing? How can it affect performance?
Under-indexing can lead to slow query performance because the database has to scan more rows to find the required data.
Are there any tools to help analyze indexing issues?
Yes, tools like SQL Server Management Studio and EXPLAIN in PostgreSQL can help analyze and optimize indexing.
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