Hi. Peter.
  I think I am not using faceting, highlighting ... I read about them but don't 
know how to work with them. I am using the default "example" just change the 
indexed fields.
  For my case, I don't think solr can work as fast as 100-200ms on average. I 
tried some keywords on only single solr instance. It sometimes takes more than 
20s. I just input 4 keywords. I agree it is keyword concerns. But the issue is 
it doesn't work consistently. 

   When 37 instances on same server works at same time (when a distributed 
search start), it goes worse, I saw some solr cores execute very fast, 0ms, 
~40ms, ~200ms. But more solr cores executed as ~2500ms, ~3500ms, ~6700ms. and 
about 5-10 solr cores need more than 17s. I have 70 cores running. And the 
search speed depends on the SLOWEST one. Even 69 cores can run at 1ms. but last 
one need 50s. then the distributed search speed is 50s. 
    I am aware these cores on same server are interfering with each other. As I 
have lots of free memory. I want to know, with the prerequisite, can solr use 
more memory to avoid disk operation conflicts?

Thanks.
Regards.
Scott

在2010-07-15 17:19:57,"Peter Karich" <peat...@yahoo.de> 写道:
>How does your queries look like? Do you use faceting, highlighting, ... ?
>Did you try to customize the cache?
>Setting the HashDocSet to "0.005 of all documents" improves our search speed a 
>lot.
>Did you optimize the index?
>
>500ms seems to be slow for an 'average' search. I am not an expert but without 
>highlighting it should be faster as 100ms or at least 200ms
>
>Regards,
>Peter.
>
>
>> Hi.
>>    Thanks for replying.
>>    My document has many different fields(about 30 fields, 10 different type 
>> of documents but these are not the point ) and I have to search over several 
>> fields. 
>>    I was putting all 76M documents into several lucene indexes and use the 
>> default lucene.net ParaSearch to search over these indexes. That was slow, 
>> more than 20s.
>>    Then someone suggested I need to merge all our indexes into a huge one, 
>> he thought lucene can handle 76M documents in one index easily. Then I 
>> merged all the documents into a single huge one(which took me 3 days) . That 
>> time, the index folder is about 15G(I don't store info into index, just 
>> index them). Actually the search is still very slow, more than 20s too, and 
>> looks slower than use several indexes. 
>>    Then I come to solr. Why I put 1M into each core is I found when a core 
>> has 1M document, the search speed is fast, range from 0-500ms, which is 
>> acceptable. I don't know how many documents to saved in one core is proper. 
>>    The problem is even if I put 2M documents into each core. Then I have 
>> only 36 cores at the moment. But when our documents doubles in the future, 
>> same issue will rise again. So I don't think save 1M in each core is the 
>> issue. 
>>    The issue is I put too many cores into one server. I don't have extra 
>> server to spread solr cores. So we have to improve solr search speed from 
>> some other way. 
>>    Any suggestion?
>>
>> Regards.
>> Scott
>>
>>
>>
>>
>>
>> 在2010-07-15 15:24:08,"Fornoville, Tom" <tom.fornovi...@truvo.com> 写道:
>>   
>>> Is there any reason why you have to limit each instance to only 1M
>>> documents?
>>> If you could put more documents in the same core I think it would
>>> dramatically improve your response times.
>>>
>>> -----Original Message-----
>>> From: marship [mailto:mars...@126.com] 
>>> Sent: donderdag 15 juli 2010 6:23
>>> To: solr-user
>>> Subject: How to speed up solr search speed
>>>
>>> Hi. All.
>>>    I got a problem with distributed solr search. The issue is 
>>>    I have 76M documents spread over 76 solr instances, each instance
>>> handles 1M documents. 
>>>   Previously I put all 76 instances on single server and when I tested
>>> I found each time it runs, it will take several times, mostly 10-20s to
>>> finish a search. 
>>>   Now, I split these instances into 2 servers. each one with 38
>>> instances. the search speed is about 5-10s each time. 
>>> 10s is a bit unacceptable for me. And based on my observation, the slow
>>> is caused by disk operation as all theses instances are on same server.
>>> Because when I test each single instance, it is purely fast, always
>>> ~400ms. When I use distributed search, I found some instance say it need
>>> 7000+ms. 
>>>   Our server has plenty of memory free of use. I am thinking is there a
>>> way we can make solr use more memory instead of harddisk index, like,
>>> load all indexes into memory so it can speed up?
>>>
>>> welcome any help.
>>> Thanks.
>>> Regards.
>>> Scott
>>>     
>
>
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