Sorry for late reply, just back from holiday :)
I did what you mentioned:
and then in url facet.field=services_raw
It works...awesome, thanks!
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Sent from th
Hi,
Try solr.KeywordTokenizerFactory.
However, in your case it looks as if you have certain requirements for
searching that requires tokenization. So you should leave the
WhitespaceTokenizer as is and create a separate field specially for the
faceting, with indexed=true, stored=false and type=
Hi Erick,
Ok. its more clear now. I indeed have the whitespace tokenizer:
What happens is that I have a field called 'Beach & Sea", which is a theme
for a location. What happens because of the whitespace tokenizer, i
See below:
On Fri, Aug 6, 2010 at 9:00 AM, PeterKerk wrote:
>
> Ah, I'm glad it does, makes me feel a bit less stupid ;)
>
> So to summarize and see if I understand it now:
> - the analyzers allow for many different ways to index a field, these
> analyzers are placed in a chain
>
Minor terminol
Ah, I'm glad it does, makes me feel a bit less stupid ;)
So to summarize and see if I understand it now:
- the analyzers allow for many different ways to index a field, these
analyzers are placed in a chain
- when a field is indexed it can be searched
- a field could also be stored as-is, but I w
This confuses lots of people. When you index a field, it's Analyzed 10
ways from Sunday. Consider "The World is an unknown Entity". When
you INDEX it, many thing happen, depending upon the analyser.
Stopwords may be removed. each token may be lower cased. Each token
may be stemmed. It all depends o
@Michael, @Erick,
You both mention interesting things that triggered me.
@Erick:
Your referenced page is very useful. It seems the whitespace tokenizer under
the text_ws is causing issues.
You do mention another interesting thing:
"And do be aware that fields you get back from a request (i.e. a
I suspect you're running afoul of tokenizers and filters. The parts of your
schema
that you published aren't the ones that really count.
What you probably need to look at is the FieldType definitions, i.e. what
analysis is
done for, say, text_ws (see http://wiki.apache.org/solr/AnalyzersTokenizers
Well the example you provided is 100% relevant to me :)
I've read the wiki now (SchemaXml,SolrFacetingOverview,Query Syntax,
SimpleFacetParameters), but still do not have an exact idea of what you
mean.
My situation:
a city field is something that I want users to search on via text input, so
let
d for
displaying the navigation.
But, check the wiki on this subject.
-Original message-
From: PeterKerk
Sent: Wed 04-08-2010 22:23
To: solr-user@lucene.apache.org;
Subject: RE: Indexing fieldvalues with dashes and spaces
Sorry, but Im a newbie to Solr...how would I change my schem
4:18 PM
To: solr-user@lucene.apache.org
Subject: RE: Indexing fieldvalues with dashes and spaces
You shouldn't fetch faceting results from analyzed fields, it will mess with
your results. Search on analyzed fields but don't retrieve values from them.
-Original message-
From: Pet
Sorry, but Im a newbie to Solr...how would I change my schema.xml to match
your requirements?
And what do you mean by "it will mess with your results"? What will happen
then?
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ieldvalues with dashes and spaces
I changed values to text_ws
Now I only seem to have problems with fieldvalues that hold spacessee
below:
It has now become:
"facet_counts":{
"facet_queries":{},
"facet_fields":{
"theme":[
"Ge
I changed values to text_ws
Now I only seem to have problems with fieldvalues that hold spacessee
below:
It has now become:
"facet_counts":{
"facet_queries":{},
"facet_fields":{
"theme":[
"Gemeentehuis",2,
"&",1, < still & is c
Your schema.xml setting for the field is probably tokenizing the punctuation.
Change the field type to one that doesn't tokenize on punctuation; e.g. use
"text_ws" and not "text"
-Original Message-
From: PeterKerk [mailto:vettepa...@hotmail.com]
Sent: Wednesday, August 04, 2010 3:36 PM
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