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Frequent Words / Performance-Benefits 5.1?
Posted by: Jonny 5
Date: July 21, 2008 08:57PM

Debian-Server: P4/1.6ghz/4gb ram
Mysql: v5.0.32/key_buffer=2gb

Dear Forum,

I developed a MySql-based regional search-engine.

Total datasize is now about 2.5gb whereas fulltext indices fit in about 600m. I optimized a lot (some stemming/pre-processing) and performance is pretty good as long as it doesn't come to frequent words. In natural language mode as well as boolean mode. Query-time could drop to ~0.5-1s. Average time is below 0.2s.

Most default queries are in natural language mode. I read something about increased performance and new index-structures in version 5.16+ for boolean mode.

Does anybody know, if default mode (natural language mode) improved too?

The problem-border for me is at words matching more then about 15-20% of all rows. I can't put them in stopwords, neither could I use some extra grouping column together with 'match against' = bad performance too.

I know about Sphinx and even tried it and was very impressed. But I would have to change a lot of code and still hope to get performance increased with MySql ft-search.

Tia & greetings,
Robert from Austria

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