Dear Toke and Davidphilip,
Hi,
The fieldtype text_fa has some custom language specific normalizer and
charfilter, here is the schema.xml value related for this field:
<fieldType name="text_fa" class="solr.TextField" positionIncrementGap="100">
<analyzer type="index">
<charFilter
class="com.ictcert.lucene.analysis.fa.FarsiCharFilterFactory"/>
<tokenizer class="solr.StandardTokenizerFactory"/>
<filter class="solr.LowerCaseFilterFactory"/>
<filter
class="com.ictcert.lucene.analysis.fa.FarsiNormalizationFilterFactory"/>
<filter class="solr.StopFilterFactory" ignoreCase="true"
words="lang/stopwords_fa.txt" />
</analyzer>
<analyzer type="query">
<charFilter
class="com.ictcert.lucene.analysis.fa.FarsiCharFilterFactory"/>
<tokenizer class="solr.StandardTokenizerFactory"/>
<filter class="solr.LowerCaseFilterFactory"/>
<filter
class="com.ictcert.lucene.analysis.fa.FarsiNormalizationFilterFactory"/>
<filter class="solr.StopFilterFactory" ignoreCase="true"
words="lang/stopwords_fa.txt" />
</analyzer>
</fieldType>
I did try the facet.method=enum and it works fine. Did you mean that
actually applying facet on analyzed field is wrong?
Best regards.
On Mon, Jul 20, 2015 at 8:07 PM, Toke Eskildsen <[email protected]>
wrote:
> Ali Nazemian <[email protected]> wrote:
> > I have a collection of 1.6m documents in Solr 5.2.1.
> > [...]
> > Caused by: java.lang.IllegalStateException: Too many values for
> > UnInvertedField faceting on field content
> > [...]
> > <field name="content" type="text_fa" stored="true" indexed="true"
> > default="noval" termVectors="true" termPositions="true"
> > termOffsets="true"/>
>
> You are hitting an internal limit in Solr. As davidphilip tells you, the
> solution is docValues, but they cannot be enabled for text fields. You need
> String fields, but the name of your field suggests that you need
> analyzation & tokenization, which cannot be done on String fields.
>
> > Would you please help me to solve this problem?
>
> With the information we have, it does not seem to be easy to solve: It
> seems like you want to facet on all terms in your index. As they need to be
> String (to use docValues), you would have to do all the splitting on white
> space, normalization etc. outside of Solr.
>
> - Toke Eskildsen
>
--
A.Nazemian
