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Subject: RE: Auto Suggest
Date: Wed, 1 Sep 2010 13:12:28 -0700
Message-ID: <11B8ADF3AAA0A84C89B1A42CADF918D305A557FB@email01>
In-Reply-To: <AANLkTimOrwGgCyTDmPv313w1+ihLCqAiBxmuWwY_+zNW@mail.gmail.com>
Thread-Topic: Auto Suggest
thread-index: ActKDMwO0R8ZCdNBR7iBBS7InxvfNQABGbDg
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From: "Robert Petersen" <robertpe@buy.com>
To: <solr-user@lucene.apache.org>

We don't have that many, just a hundred thousand, and solr response
times (since the index's docs are small and not complex) are logged as
typically 1 ms if not 0 ms.  It's funny but sometimes it is so fast no
milliseconds have elapsed.  Incredible if you ask me...  :)

Once you get SOLR to consider the whole phrase as just one big term, the
wildcard is very fast.

-----Original Message-----
From: Eric Grobler [mailto:impalaherd@googlemail.com]=20
Sent: Wednesday, September 01, 2010 12:35 PM
To: solr-user@lucene.apache.org
Subject: Re: Auto Suggest

Hi Robert,

Interesting approach, how many documents do you have in Solr?
I have about 2 million and I just wonder if it might be a bit slow.

Regards
Johan

On Wed, Sep 1, 2010 at 7:38 PM, Robert Petersen <robertpe@buy.com>
wrote:

> I do this by replacing the spaces with a '%' in a separate search
field
> which is not parsed nor tokenized and then you can wildcard across the
> whole phrase like you want and the spaces don't mess you up.  Just
store
> the original phrase with spaces in a separate field for returning to
the
> front end for display.
>
> -----Original Message-----
> From: Jazz Globe [mailto:jazzglobe@hotmail.com]
> Sent: Wednesday, September 01, 2010 7:33 AM
> To: solr-user@lucene.apache.org
> Subject: Auto Suggest
>
>
> Hallo
>
> How would one implement a multiple term auto-suggest feature in Solr
> that is filter sensitive?
> For example, a user enters :
> "mp3"
>  and solr might suggest:
>  ->   "mp3 player"
>  ->   "mp3 nano"
>  ->   "mp3 sony"
> and then the user starts the second word :
> "mp3 n"
> and that narrows it down to:
>  -> "mp3 nano"
>
> I had a quick look at the Terms Component.
> I suppose it just returns term totals for the entire index and cannot
be
> used with a filter or query?
>
> Thanks
> Johan
>
>
>