Microsoft FAST Search Server for SharePoint, EDU, SA, OLP-NL AEF-00067 Manuel D’Utilisation
Codes de produits
AEF-00067
30
www.microsoft.com/sharepoint
information. Examples of linguistic processing in the item processing include
character normalization and normalization of stemming variations.
character normalization and normalization of stemming variations.
Indexing
The indexing service creates searchable indexes based on the processed items. No
external database is needed for the indexing or the generated indexes.
external database is needed for the indexing or the generated indexes.
The indexing service supports a seamless content partitioning into index columns in
order to handle large content volumes.
order to handle large content volumes.
The indexing is controlled by an index schema object model, which defines the mapping
of managed properties into the searchable index structures, and how relevancy ranking
is to be performed.
of managed properties into the searchable index structures, and how relevancy ranking
is to be performed.
Query Matching
The query matching service uses the indexes created by the indexing service to retrieve
the items that match a query and then return these items as a query result set.
the items that match a query and then return these items as a query result set.
A query usually contains several terms combined with query operators, such as AND and
OR. The query matching service looks up each term in the index and retrieves a list of
items in which that term appears. The order of the returned items is based on the
requested sorting mechanism, which is usually the relevance ranking that is calculated
from various item properties, or a sort based on one or more of the item properties.
OR. The query matching service looks up each term in the index and retrieves a list of
items in which that term appears. The order of the returned items is based on the
requested sorting mechanism, which is usually the relevance ranking that is calculated
from various item properties, or a sort based on one or more of the item properties.
The query matching service can also return a hit-highlighted summary for each item in
the query hit list. A hit-highlighted summary consists of a fragment of the original item
in which the matching query terms are highlighted.
the query hit list. A hit-highlighted summary consists of a fragment of the original item
in which the matching query terms are highlighted.
The query matching service is responsible for the deep refinement that is associated
with query results. Query refinement enables drilling down into a query result by using
aggregated statistical data that was computed for the query result. The query matching
service maintains aggregation data structures to enable deep refinement across large
result sets.
with query results. Query refinement enables drilling down into a query result by using
aggregated statistical data that was computed for the query result. The query matching
service maintains aggregation data structures to enable deep refinement across large
result sets.
Query Processing
The query processing service performs the processing of queries and results that can be
performed without access to the index. Query processing includes query-language
parsing, linguistic processing, and item-level security processing. Result processing
performed without access to the index. Query processing includes query-language
parsing, linguistic processing, and item-level security processing. Result processing