> Thank you for your great and detailed explanation. You were very explicit> >
> I have one little question yet. You said "Do you have any idea about > terms
> selectivity?" What means terms selectivity?Search behavior and performance
> hardly depends on a percents of documents which are matched by terms.If it's
> one document (unique ids) or several documents, then we have one situation.If
> it's 70% of documents, then situation is completely different.With best
> regards, Alexander Veremyev.OK Alexander. I understand this. How can I
> manage this situation? Because I will index all words from text fields (this
> is the default behavior of the tokenizer, isn't it?). So, there will be words
> like 'and', 'a', 'an', 'than' and many others which will apear in many
> documents. I know that MYSQL fulltext index has a full list with these common
> words, and they exclude this words from the index.
Tell me how can I select common terms in an efficient way. Where should I add
this? Is there a class which I can extend?
I wait your answer.
Thank you,
Sebi
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