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<h1 class="topictitle1">Materialized query table optimization</h1>
<div><p>Materialized query tables (MQTs) (also referred to as automatic
summary tables or materialized views) can provide performance enhancements
for queries.</p>
<p>This is done by precomputing and storing results of a query in the materialized
query table. The database engine can use these results instead of recomputing
them for a user specified query. The query optimizer will look for any applicable
MQTs and can choose to implement the query using a given MQT provided this
is a faster implementation choice. </p>
<p>Materialized Query Tables are created using the SQL CREATE TABLE statement.
Alternatively, the ALTER TABLE statement may be used to convert an existing
table into a materialized query table. The REFRESH TABLE statement
is used to recompute the results stored in the MQT. For user-maintained MQTs,
the MQTs may also be maintained by the user via INSERT, UPDATE, and DELETE
statements. </p>
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<div>
<ul class="ullinks">
<li class="ulchildlink"><strong><a href="rzajqmqtsupport.htm">MQT supported function</a></strong><br />
Although a MQT can contain almost any query, the optimizer only supports a limited set of query functions when matching MQTs to user specified queries. The user specified query and the MQT query must both be supported by the SQE optimizer.</li>
<li class="ulchildlink"><strong><a href="rzajqmqtusing.htm">Using MQTs during Query optimization</a></strong><br />
Before using MQTs, you need to consider your environment attributes.</li>
<li class="ulchildlink"><strong><a href="rzajqmqtexample.htm">MQT examples</a></strong><br />
The following are examples of using MQTs.</li>
<li class="ulchildlink"><strong><a href="rzajqmqtalgorithm.htm">Details on the MQT matching algorithm</a></strong><br />
What follows is a generalized discussion of how the MQT matching algorithm works.</li>
<li class="ulchildlink"><strong><a href="rzajqmqtunnecessary.htm">Determining unnecessary MQTs</a></strong><br />
You can easily determine which MQTs are being used for query optimization.
However, you can now easily find all MQTs and retrieve statistics on MQT
usage as a result of iSeries™ Navigator and i5/OS™ functionality.</li>
<li class="ulchildlink"><strong><a href="rzajqmqtsummary.htm">Summary of MQT query recommendations</a></strong><br />
Follow these recommendations when using MQT queries.</li>
</ul>
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<div class="parentlink"><strong>Parent topic:</strong> <a href="per0001.htm" title="This overview of the query optimizer provides guidelines for designing queries that will perform and will use server resources more efficiently.">Processing queries: Overview</a></div>
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<div class="relinfo"><strong>Related information</strong><br />
<div><a href="../db2/rbafzmsthctabl.htm">Create Table statement</a></div>
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