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<h1 class="topictitle1">Index grouping implementation</h1>
<div><p>There are two primary ways to implement grouping via an index:
Ordered grouping and pre-summarized processing.</p>
<div class="section"><h4 class="sectiontitle">Ordered grouping</h4><p>This implementation utilizes the
Radix Index Scan or the Radix Index Probe access methods to perform the grouping.
An index is required that contains all of the grouping columns as contiguous
leftmost key columns. The database manager accesses the individual groups
through the index and performs the requested summary functions.</p>
<p>Since
the index, by definition, already has all of the key values grouped together,
the first group result can be returned in less time than the hashing method.
This is because of the temporary result that is required for the hashing method.
This implementation can be beneficial if an application does not need to retrieve
all of the group results or if an index already exists that matches the grouping
columns.</p>
<p>When the grouping is implemented with an index and a permanent
index does not already exist that satisfies grouping columns, a temporary
index is created. The grouping columns specified within the query are used
as the key columns for this index.</p>
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<div class="section"><h4 class="sectiontitle">Pre-summarized processing</h4><p>This SQE only implementation
utilizes an Encoded Vector Index to extract the summary information already
in the index's symbol table. The symbol table portion of an EVI contains the
unique values of the key along with a count of the number of table records
that have that unique value, basically the grouping for the columns of the
index key are already performed. If the query references a single table and
performs simple aggregation, the EVI may be used for quick access to the grouping
results. For example, consider the following query:</p>
<pre><strong>SELECT COUNT</strong>(*), col1
<strong>FROM</strong> t1
<strong>GROUP BY</strong> col1</pre>
<p>If an EVI exists over t1 with a key of
col1, the optimizer can rewrite the query to access the precomputed grouping
answer in the EVI symbol table. This can result in dramatic improvements in
queries when the number of records in the table is large and the number of
resulting groups is small (relative to the size of the table). This method
is also possible with selection (WHERE clause), as long as the reference columns
are in the key definition of the EVI. For example, consider the following
query:</p>
<pre><strong>SELECT COUNT</strong>(*), col1
<strong>FROM</strong> t1
<strong>WHERE</strong> col1 &gt; 100
<strong>GROUP BY</strong> col1</pre>
<p>This query can be rewritten by the optimizer to make use of
the EVI. This pre-summarized processing works for DISTINCT processing, GROUP
BY and for column function COUNT. All columns of the table referenced in the
query must also be in the key definition of the EVI. So, for example, the
following query can be made to use the EVI:</p>
<pre><strong>SELECT DISTINCT</strong> col1
<strong>FROM</strong> t1</pre>
<p>However, this query cannot:</p>
<pre><strong>SELECT DISTINCT</strong> col1
<strong>FROM</strong> t1
<strong>WHERE</strong> col2 &gt; 1</pre>
<p>The reason that this query cannot use the EVI is because it
references col2 of the table, which is not in the key definition of the EVI.
Note also that if multiple columns are defined in the EVI key, for example,
col1 and col2, that it is important that the left most columns of the key
be utilized. For example, if an EVI existed with a key definition of (col1,
col2), but the query referenced just col2, it is very unlikely the EVI will
be used.</p>
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<div class="familylinks">
<div class="parentlink"><strong>Parent topic:</strong> <a href="groupopt.htm" title="DB2 Universal Database for iSeries has certain techniques to use when the optimizer encounters grouping. The query optimizer chooses its methods for optimizing your query.">Grouping optimization</a></div>
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