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<h1 class="topictitle1">Query performance and optimization</h1>
<div><p>Queries that reference partitioned tables need to be carefully
considered because partitioned tables are often very large. It is important
to understand the effects of accessing multiple partitions on your system
and applications.</p>
<p>Partitioned tables can take advantage of all optimization and parallel
processing available using SQL on DB2 Universal Database™ for iSeries™.
For general information about query optimization, see the Database performance
and optimization. For partitioned tables, all the data access methods described
in the Database performance and optimization topic can be used to access the
data in each partition. In addition, if the DB2<sup>®</sup> UDB Symmetric Multiprocessing feature
is installed, the parallel data access methods are available for the optimizer
to consider when implementing the query.</p>
<p>If queries need to access only an individual partition in a partitioned
table, creating an alias for that individual partition and then using that
alias in the query can enhance performance. The query acts as a nonpartitioned
table query.</p>
<p>Partitioned tables conceptually implemented as a nested table where each
partition is unioned to the other partitions. </p>
<div class="p">For example, if you perform the following query: <pre>SELECT LASTNAME, SALARY FROM PRODLIB.PAYROLL
WHERE SALARY &gt; 20000</pre>
The implementation of the query can be
described as: <pre>SELECT LASTNAME, SALARY FROM
(SELECT LASTNAME, SALARY FROM PRODLB.PAYROLL(PART00001)
UNION ALL
SELECT LASTNAME, SALARY FROM PRODLB.PAYROLL(PART00002)
UNION ALL
SELECT LASTNAME, SALARY FROM PRODLB.PAYROLL(PART00003))
X (LASTNAME, SALARY)
WHERE X.SALARY &gt; 20000</pre>
</div>
<p>The implementation of partitioned table queries depends on which query
engine is used: the Classic Query Engine (CQE) or the SQL Query Engine (SQE).
For more information about the query engines, see the SQE and CQE Engines
article in the Database performance and optimization topic. There are different
considerations for each engine.</p>
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<div>
<ul class="ullinks">
<li class="ulchildlink"><strong><a href="rzaf3sqept.htm">Queries using SQL Query Engine</a></strong><br />
The SQL Query Engine (SQE) provides targeted optimization for partitioned tables using dynamic partition expansion optimization.</li>
<li class="ulchildlink"><strong><a href="cqe.htm">Queries using Classic Query Engine</a></strong><br />
When queries are implemented using Classic Query Engine (CQE), you need to be aware of how the query is optimized including materialization and index usage.</li>
</ul>
<div class="familylinks">
<div class="parentlink"><strong>Parent topic:</strong> <a href="partitionedtables.htm" title="DB2 UDB for iSeries supports partitioned tables using SQL.">Partitioned tables</a></div>
</div>
<div class="relconcepts"><strong>Related concepts</strong><br />
<div><a href="indexpt.htm" title="Indexes can be created as partitioned or nonpartitioned. A partitioned index creates an individual index for each partition. A nonpartitioned index is a single index spanning all partitions of the table.">Indexes with partitioned tables</a></div>
<div><a href="../rzajq/queryoptimize.htm">SQE and CQE Engines</a></div>
</div>
<div class="relinfo"><strong>Related information</strong><br />
<div><a href="../rzajq/rzajqkickoff.htm">Database performance and optimization</a></div>
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