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<h1 class="topictitle1">Encoded vector indexes</h1>
<div><p>An encoded vector index (EVI) is an index object that is used by
the query optimizer and database engine to provide fast data access in decision
support and query reporting environments. </p>
<p>EVIs are a complementary alternative to existing index objects (binary
radix tree structure - logical file or SQL index) and are a variation on bitmap
indexing. Because of their compact size and relative simplicity, EVIs provide
for faster scans of a table that can also be processed in parallel.</p>
<p>An EVI is a data structure that is stored as two components:
</p>
<ul><li>The symbol table contains statistical and descriptive information about
each distinct key value represented in the table. Each distinct key is assigned
a unique code, either 1, 2 or 4 bytes in size.</li>
<li>The vector is an array of codes listed in the same ordinal position as
the rows in the table. The vector does not contain any pointers to the actual
rows in the table.</li>
</ul>
<div class="section"><p>Advantages of EVIs:</p>
<ul><li>Require less storage</li>
<li>May have better build times than radix, especially if the number of unique
values in the column(s) defined for the key is relatively small.</li>
<li>Provide more accurate statistics to the query optimizer</li>
<li>Considerably better performance for certain grouping types of queries</li>
<li>Good performance characteristics for decision support environments.</li>
</ul>
</div>
<div class="section"><p>Disadvantages of EVIs:</p>
<ul><li>Cannot be used in ordering</li>
<li>Use for grouping is specialized </li>
<li>Use with joins always done in cooperation with hash table processing</li>
<li>Some additional maintenance idiosyncrasies</li>
</ul>
</div>
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<ul class="ullinks">
<li class="ulchildlink"><strong><a href="howeviworks.htm">How the EVI works</a></strong><br />
EVIs work in different ways for costing and implementation.</li>
<li class="ulchildlink"><strong><a href="whentouseevis.htm">When to create EVIs</a></strong><br />
There are several instances when you should consider creating EVIs.</li>
<li class="ulchildlink"><strong><a href="evimaintenance.htm">EVI maintenance</a></strong><br />
There are unique challenges to maintaining EVIs. The following table shows a progression of how EVIs are maintained and the conditions under which EVIs are most effective and where EVIs are least effective based on the EVI maintenance characteristics.</li>
<li class="ulchildlink"><strong><a href="recommendationsforevi.htm">Recommendations for EVI use</a></strong><br />
Encoded vector indexes are a powerful tool for providing fast data access in decision support and query reporting environments, but to ensure the effective use of EVIs, you should implement EVIs with the following guidelines:</li>
</ul>
<div class="familylinks">
<div class="parentlink"><strong>Parent topic:</strong> <a href="efindex.htm" title="DB2 Universal Database for iSeries provides two basic means for accessing tables: a table scan and an index-based retrieval. Index-based retrieval is typically more efficient than table scan when less than 20% of the table rows are selected.">Creating an index strategy</a></div>
</div>
<div class="relinfo"><strong>Related information</strong><br />
<div><a href="../db2/rbafzmstxcindx.htm">SQL Create Index statement</a></div>
</div>
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