Ok I think I understand your points there. Just clarify say if the term was
"Large increased" and my filters went something like:

Large|increased
Large|increase|increased
large|increase|increased

the final tokens indexed would be large|increase|increased  ?

Once again thanks for all the help.


On Thu, Oct 2, 2014 at 2:30 PM, Shawn Heisey-2 [via Lucene] <
ml-node+s472066n4162306...@n3.nabble.com> wrote:

> On 10/2/2014 4:33 AM, waynemailinglist wrote:
>
> > Something that is still not clear in my mind is how this tokenising
> works.
> > For example with the filters I have when I run the analyser I get:
> > Field: Hello You
> >
> > Hello|You
> > Hello|You
> > Hello|You
> > hello|you
> > hello|you
> >
> >
> > Does this mean that the index is stored as 'hello|you' (the final one)
> and
> > that when I run a query and it goes through the filters whatever the end
> > result of that is must match the 'hello|you' in order to return a
> result?
>
> The index has two terms for this field if this is the whole input --
> hello and you -- which can be searched for individually.  The tokenizer
> does the initial job of separating the input into tokens (terms) ...
> some filters can create additional terms, depending on exactly what's
> left when the tokenizer is done.
>
> Thanks,
> Shawn
>
>
>
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