Michael Smith


Technical Article

Prioritize Missing Index Recommendations (2005)

To report indexes proposed by the database engine that have highest probable user impact.  Note that no consideration is given to 'reasonableness' of indexes-- bytes, overall size, total number of indexes on a table, etc.  Intended to provide targeted starting point for holistic evaluation of indexes.

You rated this post out of 5. Change rating

2007-08-17

992 reads

Technical Article

Prioritize Missing Index Recommendations 2 (2005)

This is an enhanced version of my previous script: Prioritize Missing Index Recommendations (2005).To aid in evaluation of whether the recommended index is reasonable, I have added :1. counts for key columns and the total columns of the recommended index  2. the length/bytes for both key and all columns  Note this is 'per row', not […]

(2)

You rated this post out of 5. Change rating

2007-08-17

1,858 reads

Blogs

T-SQL Tuesday #198 Roundup: How Do You Detect Data Changes?

By

Thank you to everyone who participated in T-SQL Tuesday #198! When I wrote the...

Optimizing Redshift Performance by Configuring WLM Queues

By

Efficient query performance in Amazon Redshift often comes down to how well you manage...

PowerShell Strikes Back: Return of the Loop

By

Welcome back to PowerShell Strikes Back. We’re three weeks in, and the training is...

Read the latest Blogs

Forums

Dealing with huge heap tables

By JasonO

Recently, our dev teams approach me for advice on improving their huge heap table...

Merge Replication failing with Error converting data type nvarchar to numeric

By Leo.Miller

After upgrading 2 Merge Replicated databases to SQL 2022 and re-establishing the Merge Replication...

Why Your Index Isn't Being Used? - Reading Execution Plans to Find the Real Culprit

By Sanket Parmar

Comments posted to this topic are about the item Why Your Index Isn't Being...

Visit the forum

Question of the Day

Distance Metric Algorithms

What are the distance metric algorithms that can be used in VECTOR_DISTANCE()?

See possible answers