Hi,
I've found a very strange behaviour for ttf function query.
I can understand that ttf should be based on full-text query.
My query analyser is configured as follows:
When i query a term "D blooms" via
http://localhost:8983/solr/myCore/select?q=*:*&fl=ttf(content,
ex
to filter).
Jie Gao,
Research Assistant,
Department of Computer Science, The University of Sheffield,
Regent Court, 211 Portobello, S1 4DP, Sheffield, UK
On 16 September 2015 at 21:04, Upayavira wrote:
> That is, use a TextField plus a KeywordTokenizerFactory, rather than a
> StringField
ra wrote:
>
>
> On Wed, Sep 16, 2015, at 06:37 PM, Jie Gao wrote:
> > Hi,
> >
> >
> > I want to query a list of terms indexed and stored in multivalued string
> > field via Term Component. The term component can support exact matching
> > and
> >
Hi,
I want to query a list of terms indexed and stored in multivalued string
field via Term Component. The term component can support exact matching and
regex based fuzzy matching. However, Is any way i can configure scheme to
do phonetic matching/query?
Thanks,
Jerry
%22apple%20banana%22>
collection1
<http://localhost:8983/solr/collection1/select?q=*:*&fl=ttf(content,%22apple%20banana%22)&rows=1>
/select?q=content:%22apple%20banana%22&*rows=100*".
Thanks,
Jerry
Jie Gao,
Research Assistant,
Department of Computer Science, The Universi
A typo is fixed in the following query url.
On 10 September 2015 at 10:25, Jie Gao wrote:
> Hi,
>
> I'm wondering whether solr ttf functionQuery support (compound words)
> ngram (n>2) ?
>
> I'm using "
> http://localhost:8983/solr/collection1/select?q=
Hi,
I'm wondering whether solr ttf functionQuery support (compound words) ngram
(n>2) ?
I'm using "
http://localhost:8983/solr/collection1/select?q=*:*&fl=ttf(content,%22apple%20banana%22)&rows=1"
to query total term frequency of bigram tokens in "content" field in the
whole index.
However, the
Hi,
how to parse json response from Solr Term Vector Component?
I got following json structure from response when testing Solr 5.3.0
tvComponent:
{'responseHeader': {'status': 0, 'QTime': 4}, 'response': {'docs':
[{'resourcename': 'XXX.txt', 'id': 'XXX.txt', '_version_':
1511851008560463872, 'co
