About Squeezing Deleted Documents - MACROMEDIA COLDFUSION 5-ADVANCED ADMINISTRATION Manual

Collection Maintenance Options
Keyword
spanword
ngramindex
squeeze
vdbopt
tuneup
publish

About squeezing deleted documents

When a document is deleted from a collection, its space is not recovered. It is merely
marked as deleted and not available for subsequent searches. Squeezing actually
removes deleted documents from the collection's internal documents table and word
indexes, thus creating a smaller collection and reducing the collection's disk space. A
smaller collection has a more efficient structure that makes searching slightly faster
and uses slightly less memory.
When can you squeeze deleted documents? It is safe to squeeze deleted documents
anytime for a collection because
searching and servicing through its self-administration features. The application
does not need to temporarily disable a collection to squeeze deleted documents
because when a squeeze request is made, the
the collection. After a squeeze has occurred, the next time the application accesses
the collection, the Verity engine notifies the application that dramatic changes have
been made, and points the application to the new collection data.
Before squeezing deleted documents, you should be aware of some of its effects.
Squeezing deleted documents out of a collection is a significant update to the
collection. If users are reviewing search results at the time when squeezing occurs,
the search results may be invalidated after the squeeze.
Description
This keyword creates a spanning word list across all the collection's partitions. A
collection consists of numerous smaller units called partitions each of which
includes a word list. Optionally, a spanning word list can be built with an ngram
index.
This keyword builds an ngram index for the collection. An ngram index is
designed to improve the search performance for queries with the <TYPO> and/or
<WILDCARD> operators. An ngram index can not be built without a spanning
word list. You can build a spanning word list and ngram index in the same
command, for example:
mkvdk -collection collname -optimize spanword-ngramindex
This keyword squeezes deleted documents from the collection. Squeezing
deleted documents recovers space in a collection, and improves search
performance. Using this option invalidates the search results.
Each collection consists of smaller units called Verity databases (VDBs). The
vdbopt keyword configures the collection's VDBs. This keyword has the effect of
linearizing the data in a VDB, and making the collection metadata contained in
the VDB more streamlined. It also allows the VDB to grow to a much larger size.
This keyword is a convenience keyword that includes maxmerge, vdbopt, and
spanword.
This keyword is a convenience keyword that includes all of the optimization
types. Use this keyword to optimize the collection for the best possible retrieval
performance, such as for publication to a network on a server or on a CD-ROM.
mkvdk
ensures that the collection is available for
assigns a new revision code to
mkvdk
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