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115 lines
4.2 KiB
115 lines
4.2 KiB
TYPES OF RESTRICTIONS
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1) Content Restriction
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Input: <property>, <text>, <fuzzy level>
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Matches documents which contain <text> in <property>.
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<property> may be any textual Ole property or a special property. The
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special properties include CONTENTS (the main body of the document), ALL
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(search all properties), and user-defined PSEUDO-PROPERTIES (text
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distinguished for purposes of content search).
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<fuzzy level> describes how exactly <text> has to match the document.
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Fuzzy level 0 is exact match. Fuzzy level 1 is prefix match (each word
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is treated as a prefix). Fuzzy level 2 is morphological stemming (run
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would match run, running, ran, etc.)
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The result of a content query may be out-of-date.
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2) Property Restriction
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Input: <property>, <relop>, <value>
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Matches documents where <property> <relop> <value>.
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<property> must be a true Ole property, or a few special properties that
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are valid only in query results. The special properties are RANK (how
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well the restriction matches the object), HITCOUNT (number of content
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index 'hits'), and RANK VECTOR (for use with vector restriction)
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<relop> is one of: <, <=, =, !=, >=, >, SOME OF, and ALL OF. The last
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two are bitwise operations valid only for integer types. In C++ syntax,
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SOME OF is (<property> & <value>) != 0, and ALL OF is (<property> &
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<value>) == <value>.
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<value> is a STGVARIANT.
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The result of a property query always reflects the last saved state of
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all objects.
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TYPES OF INDEXES
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1) Content Index
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The content index is a mapping of <property>,<words> back to the
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documents which contain <words> in <property>.
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There is no scoping within the content index.
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The content index is lazily updated. It may be out-of-date.
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2) Value Index
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A value index is a mapping from <property>,<range of values> back to the
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documents which have a value within <range of values> for the
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<property>.
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In other words, the possible range of values for a data type
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(VT_FILETIME, VT_I4, etc) is divided into "buckets". Every possible
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value falls into one of these buckets. Note that the mapping is from
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bucket to document, not value to document. A search for SIZE == 500
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might map to a bucket from 250 to 525. So the result of index lookup
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would be all files from SIZE 250 to 525, not just those having SIZE ==
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500.
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There is no scoping within a value index.
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Value indices can be used in conjunction with content index. They are
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lazily updated with the same frequency as content index.
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There is no administration necessary to set up value indices. All
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properties are value indexed except a few hard-coded exceptions. This
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may change in the future.
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3) View Index
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A view index is a B-Tree. It contains a complete sorted list of files
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for a single directory. Besides key columns, the view can contain
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additional unsorted columns. These improve retrieval efficiency but
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have less effect on query efficiency.
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View indices must be created by an administrator.
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4) Directory Index
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Listed for completeness. This is a view index on the filename property.
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It is always available.
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RULES FOR MATCHING QUERY WITH INDEX (in order of precedence)
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1) If a query contains a content restriction, use content index, adding
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value indices if appropriate.
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2) If one or more properties of a property restriction are used in the
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sort order of a view index, and the query is shallow, then use view
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index.
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Note that properties of the view must be used in order. A view on SIZE
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and FILENAME could be used for queries involving SIZE, and queries
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involving both SIZE and FILENAME, but not for queries involving just
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FILENAME.
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If more than one view is applicable, then the view in which the most
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keys of the sort appear in the restriction is used. Thus given two
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views: SIZE, FILENAME and SIZE, ATTRIBUTES, a query for SIZE and
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FILENAME would use the former.
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3) If one or more properties of a property restriction is value indexed,
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and the value index is reasonably up-to-date, and the query is
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shallow, then use value indexing.
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4) If 1, 2, and 3 do not apply, or if the volume is downlevel (not Ofs),
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then use the directory index (e.g. enumeration).
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