manual.texi Added an explanation to the end of FULLTEXT section

does not reflect adequately their semantical value, and this model

may sometimes produce bizarre results.

For example search for the word "search" will produce no results in the

above example. Word "search" is present in more than half of rows, and

as, such, is effectively treated as stopword (i.e. with semantical value

zero). It is, really, the desired behaviour - natural language query

should not return every second row in 1GB table.

The word that select 50% of rows has low ability to locate relevant

documents (and will find plenty of unrelevant documents also - we all

know this happen too often when we are trying to find something in Internet

with search engine), and, as such, has low semantical value in @strong{this

particular dataset}.

@page

@cindex environment variables, list of

@node Environment variables, Users, MySQL internals, Top