<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Sys.indexes on SQL Server Scripts</title><link>https://www.sqlserver70.com/tags/sys.indexes/</link><description>Recent content in Sys.indexes on SQL Server Scripts</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>SQLServer70.com</copyright><lastBuildDate>Sat, 28 Feb 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.sqlserver70.com/tags/sys.indexes/index.xml" rel="self" type="application/rss+xml"/><item><title>SQL Server Missing Indexes Report: dm_db_missing_index</title><link>https://www.sqlserver70.com/post/sql-server-missing-indexes-report-sys-dm-db-missing-index-details/</link><pubDate>Sat, 28 Feb 2026 00:00:00 +0000</pubDate><guid>https://www.sqlserver70.com/post/sql-server-missing-indexes-report-sys-dm-db-missing-index-details/</guid><description>
&lt;p&gt;SQL Server tracks index recommendations automatically as queries execute, storing them in the missing index DMVs. This T-SQL script queries those views to produce a ranked report of missing indexes, ordered by the estimated improvement they would provide, along with a ready-to-run &lt;code&gt;CREATE INDEX&lt;/code&gt; statement for each recommendation.&lt;/p&gt;
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&lt;h2 id="purpose-and-overview"&gt;Purpose and Overview&lt;/h2&gt;
&lt;p&gt;Every time SQL Server executes a query that would benefit from an index that does not exist, it records the recommendation in &lt;code&gt;sys.dm_db_missing_index_details&lt;/code&gt;. Over time these recommendations accumulate and can reveal the highest-impact indexing changes you can make to improve query performance.&lt;/p&gt;</description></item><item><title>SQL Server: Find Tables with Clustered Indexes for Rebuild</title><link>https://www.sqlserver70.com/post/sql-server-query-to-identify-tables-with-clustered-indexes-for-rebuilding/</link><pubDate>Sat, 09 Aug 2025 00:00:00 +0000</pubDate><guid>https://www.sqlserver70.com/post/sql-server-query-to-identify-tables-with-clustered-indexes-for-rebuilding/</guid><description>
&lt;h2 id="sql-server-query-to-identify-tables-with-clustered-indexes-for-rebuilding"&gt;SQL Server Query to Identify Tables with Clustered Indexes for Rebuilding&lt;/h2&gt;
&lt;p&gt;Database administrators frequently need to perform maintenance operations on clustered indexes to optimize database performance. This SQL Server query provides a quick and efficient way to identify all user tables that contain clustered indexes, which is typically the first step in a comprehensive index rebuilding strategy.
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&lt;h2 id="the-sql-query"&gt;The SQL Query&lt;/h2&gt;
&lt;div class="highlight"&gt;&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-sql" data-lang="sql"&gt;&lt;span class="line"&gt;&lt;span class="ln"&gt;1&lt;/span&gt;&lt;span class="cl"&gt;&lt;span class="k"&gt;select&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="k"&gt;distinct&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="n"&gt;a&lt;/span&gt;&lt;span class="p"&gt;.&lt;/span&gt;&lt;span class="n"&gt;name&lt;/span&gt;&lt;span class="w"&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="ln"&gt;2&lt;/span&gt;&lt;span class="cl"&gt;&lt;span class="k"&gt;from&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="n"&gt;sysobjects&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="n"&gt;a&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="n"&gt;sysindexes&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="n"&gt;b&lt;/span&gt;&lt;span class="w"&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="ln"&gt;3&lt;/span&gt;&lt;span class="cl"&gt;&lt;span class="k"&gt;where&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="n"&gt;a&lt;/span&gt;&lt;span class="p"&gt;.&lt;/span&gt;&lt;span class="k"&gt;type&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="o"&gt;=&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="s1"&gt;&amp;#39;U&amp;#39;&lt;/span&gt;&lt;span class="w"&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="ln"&gt;4&lt;/span&gt;&lt;span class="cl"&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="k"&gt;and&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="n"&gt;a&lt;/span&gt;&lt;span class="p"&gt;.&lt;/span&gt;&lt;span class="n"&gt;id&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="o"&gt;=&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="n"&gt;b&lt;/span&gt;&lt;span class="p"&gt;.&lt;/span&gt;&lt;span class="n"&gt;id&lt;/span&gt;&lt;span class="w"&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="ln"&gt;5&lt;/span&gt;&lt;span class="cl"&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="k"&gt;and&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="n"&gt;b&lt;/span&gt;&lt;span class="p"&gt;.&lt;/span&gt;&lt;span class="n"&gt;indid&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="o"&gt;=&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="mi"&gt;1&lt;/span&gt;&lt;span class="w"&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="ln"&gt;6&lt;/span&gt;&lt;span class="cl"&gt;&lt;span class="k"&gt;order&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="k"&gt;by&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="n"&gt;a&lt;/span&gt;&lt;span class="p"&gt;.&lt;/span&gt;&lt;span class="n"&gt;name&lt;/span&gt;&lt;span class="w"&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;h2 id="purpose-and-use-case"&gt;Purpose and Use Case&lt;/h2&gt;
&lt;p&gt;This query serves as a foundation script for database maintenance operations, specifically designed to:&lt;/p&gt;</description></item></channel></rss>