Hi,
One approach for this can be to get fact.prefix results for prefix based
suggests and for suggesting names from middle of doc what you can do is
index that name field with white space and edge ngram filter; search on
that field with prefix key word and fl=title only.. Then concatenate both
> Suppose I have a product with a title='kMix Espresso maker'. If I tokenize
> this and put the result in product_tokens I should get
> '[kMix][Espresso][maker]'.
>
> If now I try to search with facet.field='product_tokens' and
> facet.prefix='espresso' I should get only 'espresso' while I want '
Hi,
thank you for the suggestions. However, I think that this is not going to
work.
Suppose I have a product with a title='kMix Espresso maker'. If I tokenize
this and put the result in product_tokens I should get
'[kMix][Espresso][maker]'.
If now I try to search with facet.field='product_tokens
Hi Ugo,
You can use facet.prefix on a tokenized field instead of a String field.
Example:
facet.prefix on "product" will only return hits that match the start of the
single token stored in that field.
As "product_tokens" contains the value of "product" tokenized in a fashion that
suites you,
Hi,
I'm working on making our autocomplete engine a bit more smart.
The actual impl is a basic facet based autocompletion as described in the
'SOLR 3 Enterprise Search' book: we use all the typed tokens except the
last one to build a facet.prefix query on an autocomplete facet field we
built at i
