Minor improvements to the Gin internal documentation.
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$PostgreSQL: pgsql/src/backend/access/gin/README,v 1.5 2008/03/20 17:55:14 momjian Exp $
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$PostgreSQL: pgsql/src/backend/access/gin/README,v 1.6 2008/07/08 03:25:42 neilc Exp $
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Gin for PostgreSQL
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Gin for PostgreSQL
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==================
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==================
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@ -25,8 +25,8 @@ for tsvector) and where each tuple in a leaf page is either a pointer to a
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B-tree over item pointers (PT, posting tree), or a list of item pointers
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B-tree over item pointers (PT, posting tree), or a list of item pointers
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(PL, posting list) if the tuple is small enough.
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(PL, posting list) if the tuple is small enough.
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Note: There is no delete operation for ET. The reason for this is that from
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Note: There is no delete operation for ET. The reason for this is that in
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our experience, a set of unique words over a large collection change very
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our experience, the set of distinct words in a large corpus changes very
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rarely. This greatly simplifies the code and concurrency algorithms.
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rarely. This greatly simplifies the code and concurrency algorithms.
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Gin comes with built-in support for one-dimensional arrays (eg. integer[],
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Gin comes with built-in support for one-dimensional arrays (eg. integer[],
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@ -64,7 +64,7 @@ itself is very fast.)
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Such queries usually contain very frequent lexemes, so the results are not
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Such queries usually contain very frequent lexemes, so the results are not
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very helpful. To facilitate execution of such queries Gin has a configurable
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very helpful. To facilitate execution of such queries Gin has a configurable
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soft upper limit of the size of the returned set, determined by the
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soft upper limit on the size of the returned set, determined by the
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'gin_fuzzy_search_limit' GUC variable. This is set to 0 by default (no
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'gin_fuzzy_search_limit' GUC variable. This is set to 0 by default (no
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limit).
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limit).
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