I'm using 1.3 - are the nightly builds stable enough to use in production?


yonik wrote:
> 
> Are you on Solr 1.3 or a recent nightly build?  The development
> version of 1.4 has a number of scalability enhancements.
> 
> -Yonik
> 
> On Fri, Jan 9, 2009 at 12:18 AM, smock <harish.agar...@gmail.com> wrote:
>>
>> Hi Yonik,
>>
>> In some ways I have a 'small index'  (~8 million documents at the
>> moment).
>> However, I have a lot of attributes (currently about 30, but I'm
>> expecting
>> that number to keep growing) and am interested in faceting across all of
>> them for every search (on a completely unrelated note, if you have any
>> idea
>> if setting facet.fields to 'all' is an option, please let me know how to
>> do
>> it) - this is where performance started to suffer when I was using
>> sphinx.
>> Search times increased quite a bit, proportional to the number of hits
>> returned by a search (because the number of hits is directly related to
>> the
>> facet computation time).  I found with sphinx that distributing my index
>> was
>> a big win when doing these faceted searches because every node had to
>> deal
>> with less facets per index.
>>
>> In addition, while I'm okay with depending on intermediate caching
>> (documentCaches, filterCaches, etc.) to help speed up searches - I would
>> like every first search to be as fast as possible.  My index sees a lot
>> of
>> unique queries and I don't want to depend on a querycache to speed things
>> up.
>>
>> -Harish
>>
>>
>>
>> yonik wrote:
>>>
>>> Maybe we should back up a bit and look at your requirements: both
>>> query latency and throughput.
>>> If the index is small enough, distributed search is definitely not the
>>> first step to take to address performance issues - there are many
>>> other things to look into first.
>>>
>>> Start by looking at what queries are slowest, and we may be able to
>>> help speed them up through some optimizations.
>>>
>>> -Yonik
>>>
>>>
>>
>> --
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>> Sent from the Solr - User mailing list archive at Nabble.com.
>>
>>
> 
> 

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