repo_zf1/documentation/manual/de/tutorials/lucene-index-structure.xml

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<sect1 id="learning.lucene.index-structure">
    <title>Lucene Index Structure</title>

    <para>
        In order to fully utilize <classname>Zend_Search_Lucene</classname>'s capabilities with
        maximum performance, you need to understand it's internal index structure.
    </para>

    <para>
        An <emphasis>index</emphasis> is stored as a set of files within a single directory.
    </para>

    <para>
        An <emphasis>index</emphasis> consists of any number of independent
        <emphasis>segments</emphasis> which store information about a subset of indexed documents.
        Each <emphasis>segment</emphasis> has its own <emphasis>terms dictionary</emphasis>, terms
        dictionary index, and document storage (stored field values) <footnote><para>Starting with
                Lucene 2.3, document storage files can be shared between segments; however,
                <classname>Zend_Search_Lucene</classname> doesn't use this
                capability</para></footnote>. All segment data is stored in
        <filename>_xxxxx.cfs</filename> files, where <emphasis>xxxxx</emphasis> is a segment name.
    </para>

    <para>
        Once an index segment file is created, it can't be updated. New documents are added to new
        segments. Deleted documents are only marked as deleted in an optional
        <filename>&lt;segmentname&gt;.del</filename> file.
    </para>

    <para>
        Document updating is performed as separate delete and add operations, even though it's done
        using an <methodname>update()</methodname> <acronym>API</acronym> call
        <footnote><para>This call is provided only by Java Lucene now, but it's planned to extend
            the <classname>Zend_Search_Lucene</classname> <acronym>API</acronym> with similar
            functionality</para></footnote>.
        This simplifies adding new documents, and allows updating concurrently with search
        operations.
    </para>

    <para>
        On the other hand, using several segments (one document per segment as a borderline case)
        increases search time:
    </para>

    <itemizedlist>
        <listitem>
            <para>
                retrieving a term from a dictionary is performed for each segment;
            </para>
        </listitem>

        <listitem>
            <para>
                the terms dictionary index is pre-loaded for each segment (this process takes the
                most search time for simple queries, and it also requires additional memory).
            </para>
        </listitem>
    </itemizedlist>

    <para>
        If the terms dictionary reaches a saturation point, then search through one segment is
        <emphasis>N</emphasis> times faster than search through <emphasis>N</emphasis> segments
        in most cases.
    </para>

    <para>
        <emphasis>Index optimization</emphasis> merges two or more segments into a single new one. A
        new segment is added to the index segments list, and old segments are excluded.
    </para>

    <para>
        Segment list updates are performed as an atomic operation. This gives the ability of
        concurrently adding new documents, performing index optimization, and searching through the
        index.
    </para>

    <para>
        Index auto-optimization is performed after each new segment generation. It merges sets of
        the smallest segments into larger segments, and larger segments into even larger segments,
        if we have enough segments to merge.
    </para>

    <para>
        Index auto-optimization is controlled by three options:
    </para>

    <itemizedlist>
        <listitem>
            <para>
                <emphasis>MaxBufferedDocs</emphasis> (the minimal number of documents required
                before the buffered in-memory documents are written into a new segment);
            </para>
        </listitem>

        <listitem>
            <para>
                <emphasis>MaxMergeDocs</emphasis> (the largest number of documents ever merged by
                an optimization operation); and
            </para>
        </listitem>

        <listitem>
            <para>
                <emphasis>MergeFactor</emphasis> (which determines how often segment indices are
                merged by auto-optimization operations).
            </para>
        </listitem>
    </itemizedlist>

    <para>
        If we add one document per script execution, then <emphasis>MaxBufferedDocs</emphasis> is
        actually not used (only one new segment with only one document is created at the end of
        script execution, at which time the auto-optimization process starts).
    </para>
</sect1>