Adobe 38043740 Developing Applications - Page 481

Building a Search Interface, About Verity, Using Verity with ColdFusion

Page 481 highlights

DEVELOPING COLDFUSION 9 APPLICATIONS 476 Accessing and Using Data Building a Search Interface You can provide a full text search capability for documents and data sources on an Adobe ColdFusion site by enabling the Verity search engine. Verity full text search lets people visiting your site use simple one- and two-word searches to quickly find the information they need. You can use the more robust Verity Query Language and the Verity advanced search operators to transparently implement business-specific meaning behind searches. Verity search allows even one word searches to return accurate results. You can build a Verity search interface with which users can perform powerful searches on your site. You also can index your documents and data sources so that users can search them. About Verity To efficiently search through paragraphs of text or files of varying types, you need full-text search capabilities. ColdFusion includes the Verity search engine, which provides full-text indexing and searching. The Verity engine performs searches against collections, not against the actual documents. A collection is a special database created by Verity that contains metadata that describes the documents that you have indexed. The indexing process examines documents of various types in a collection and creates a metadata description-the index-which is specialized for rapid search and retrieval operations. The ColdFusion implementation of Verity supports collections of the following basic data types: • Text files such as HTML pages and CFML pages • Binary documents (see "Supported file types" on page 477) • Recordsets returned from a query and CF query object, including: cfquery, cfldap, and cfpop queries You can build collections from individual documents or from an entire directory tree. Collections can be stored anywhere, so you have a great deal of flexibility in accessing indexed data. In your ColdFusion application, you can search multiple collections, each of which can focus on a specific group of documents or queries, according to subject, document type, location, or any other logical grouping. Because you can perform searches against multiple collections, you have substantial flexibility in designing your search interface. Using Verity with ColdFusion Here are some ways to use Verity with ColdFusion: • Index your website and provide a generalized search mechanism, such as a form interface, for executing searches. • Index specific directories that contain documents for subject-based searching. • Index specific categories of documents. By organizing your documents into categories, you can let users search specific types of documents. For example, if your website contains FAQs, documentation, and tutorials, you can create a search that lets users search within each of these categories. • Index cfquery recordsets, giving users the ability to search against the data. Because collections contain data optimized for retrieval, this method is much faster than performing multiple database queries to return the same data. • Index cfldap and cfpop query results. • Manage and search collections generated outside ColdFusion using native Verity tools. Collections must be registered with the Verity K2 administration service. To do this either use the Verity tools, or map the collection using the cfcollection tag. • Index e-mail generated by ColdFusion application pages and create a searching mechanism for the indexed messages. Last updated 1/20/2012

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476
DEVELOPING
COLDFUSION 9 APPLICATIONS
Accessing and Using Data
Las
t
upda
te
d 1/20/2012
Building a Search Interface
You can provide a full text search capability for documents and data sources on an Adobe ColdFusion site by enabling
the Verity search engine. Verity full text search lets people visiting your site use simple one- and two-word searches to
quickly find the information they need. You can use the more robust Verity Query Language and the Verity advanced
search operators to transparently implement business-specific meaning behind searches. Verity search allows even one
word searches to return accurate results.
You can build a Verity search interface with which users can perform powerful searches on your site. You also can
index your documents and data sources so that users can search them.
About Verity
To efficiently search through paragraphs of text or files of varying types, you need full-text search capabilities.
ColdFusion includes the Verity search engine, which provides full-text indexing and searching.
The Verity engine performs searches against collections, not against the actual documents
.
A
collection
is a special
database created by Verity that contains metadata that describes the documents that you have indexed. The
indexing
process examines documents of various types in a collection and creates a metadata description—the
index
—which is
specialized for rapid search and retrieval operations.
The ColdFusion implementation of Verity supports collections of the following basic data types:
Text files such as HTML pages and CFML pages
Binary documents (see “
Supported file types
” on page
477)
Recordsets returned from a query and CF query object, including:
cfquery
,
cfldap
, and
cfpop
queries
You can build collections from individual documents or from an entire directory tree. Collections can be stored
anywhere, so you have a great deal of flexibility in accessing indexed data.
In your ColdFusion application, you can search multiple collections, each of which can focus on a specific group of
documents or queries, according to subject, document type, location, or any other logical grouping. Because you can
perform searches against multiple collections, you have substantial flexibility in designing your search interface.
Using Verity with ColdFusion
Here are some ways to use Verity with ColdFusion:
Index your website and provide a generalized search mechanism, such as a form interface, for executing searches.
Index specific directories that contain documents for subject-based searching.
Index specific categories of documents. By organizing your documents into categories, you can let users search
specific types of documents. For example, if your website contains FAQs, documentation, and tutorials, you can
create a search that lets users search within each of these categories.
Index
cfquery
recordsets, giving users the ability to search against the data. Because collections contain data
optimized for retrieval, this method is much faster than performing multiple database queries to return the same data.
Index
cfldap
and
cfpop
query results.
Manage and search collections generated outside ColdFusion using native Verity tools. Collections must be
registered with the Verity K2 administration service. To do this either use the Verity tools, or map the collection
using the
cfcollection
tag.
Index e-mail generated by ColdFusion application pages and create a searching mechanism for the indexed
messages.