Thanks, as a general rule a would totally agree, however the way we are
using solr we don't want to be attach to any particular schema, we just want
it to work with whatever the default is... but I will keep
your suggestion in mind in the future
thanks everyone.. you guys are always very helpful
I figure it out.. thanks for pointing me in the right direction... so at the
end solr field type text was changed for text_general
I was only missing this filters
On Wed, Oct 5, 2011 at 10:52 AM, jo [via Lucene] <
ml-node+s472066n3396737...@n3.nabble.com> wrote:
> O
Okay I did use the analysis tool and it did make me notice a few things but
more important what changed
there is no longer a field type named "text" on the new schema, there is
only "text_en" which is weird as text field is the default when doing a
query..
anyway, when I used the analysis tool a
Interesting... I did not make changes on the default settings, but defenetely
will give that a shot.. thanks I will comment later if I found a
solution beside replacing the schema with the default one on 3.3
thanks
JO
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Hi, I have the following issue on my test environment
when I do a query with the full word the reply no longer contains the
attr_meta
ex:
http://solr1:8983/solr/core_1/select/?q=stegosaurus
ISO-8859-1
en
but if I remove just one letter it shows the expected response
ex:
http://solr1:8983/sol
You guys are great.. I will stick for now to the release version and if I
have problem parsing I will give the branch jars a try the reason I am
looking for upgrading tika is because tika keeps improving on things like
languages, mime type support, and so on
thanks again
JO
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I have tried the steps indicated here:
http://wiki.apache.org/solr/ExtractingRequestHandler
http://wiki.apache.org/solr/ExtractingRequestHandler
and when I try to parse a document nothing would happen, no error.. I have
copied the jar files everywhere, and nothing.. can anyone give me the steps
t;
>
>
>
>
>
> So, when doing keyword searches I use the to search
> in all the fields, as I copyField all the fields onto the field named
> text.
> But, for faceting I use the exact fields, which are of type string and
> don't
> split on whit
Hello,
I am wondering why solr is returning a manufacturer name field ( Dell, Inc) as
Dell one result and Inc another result. Is there a way to facet a field which
have space or delimitation on them?
query.addFacetField("manu");
query.setFacetMinCount(1);
query.setIncludeScore(true
