Thanks, Erik.
If PhraseQuery does not keep track of all matching spans, how does it do
its work (in comparison to SpanNearQuery)?

Regards,
Em

Am 21.09.2011 19:52, schrieb Erik Hatcher:
> SpanNearQuery does more work than PhraseQuery - it keeps track of all 
> matching spans, whereas PhraseQuery does not.  Whether the performance 
> difference will be relevant depends on your environment and data - so it may 
> not be a big deal at all.
> 
>       Erik
> 
> 
> On Sep 21, 2011, at 10:44 , Em wrote:
> 
>> Hi Erik,
>>
>> could you explain why PhraseQuery performs better than SpanNearQuery?
>>
>> Some time has passed since I read about it, however I think it was
>> exactly the other way round.
>>
>> Thanks!
>>
>> Em
>>
>> Am 21.09.2011 15:56, schrieb Erik Hatcher:
>>> PhraseQuery suffices for the stated requirement of boosting when query 
>>> terms are closer.  A common technique is to incorporate a PhraseQuery with 
>>> a large slop factor of the query terms into the query automatically, which 
>>> implicitly boosts matching documents when the query terms are closer.  A 
>>> SpanNearQuery would work too, but a PhraseQuery might be easier to 
>>> incorporate and will be faster performing.
>>>
>>>     Erik
>>>
>>> On Sep 21, 2011, at 05:31 , Akos Tajti wrote:
>>>
>>>> Thanks, I will check SpanNearQuery!
>>>>
>>>> Regards,
>>>> Ákos
>>>>
>>>>
>>>>
>>>>
>>>> On Wed, Sep 21, 2011 at 2:20 PM, Em <mailformailingli...@yahoo.de> wrote:
>>>>
>>>>> Àkos,
>>>>>
>>>>> have a look at SpanNearQuery. This is what you want.
>>>>> If you own the 2nd Edition of Lucene in Action have a look at their
>>>>> examples. It illustrates how to combine them with the classical queries.
>>>>>
>>>>> Regards,
>>>>> Em
>>>>>
>>>>> Am 21.09.2011 13:46, schrieb Akos Tajti:
>>>>>> Dear List,
>>>>>>
>>>>>> for multi term expressions I'd like to add higher rank if the matches are
>>>>>> closer to each other. For example for the search term "like eating" the
>>>>>> string "i like eating" comes before "I like some eating".
>>>>>>
>>>>>> Is this possible?
>>>>>>
>>>>>> Thanks in advance,
>>>>>>
>>>>>> Ákos Tajti
>>>>>>
>>>>>
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