thanks Jack,
yes, i should evaluate lucene by query performance.

On Mon, Jul 8, 2013 at 12:45 AM, Jack Krupansky <j...@basetechnology.com>wrote:

> To be clear, Lucene and Solr are "search" engines, NOT "storage" engines.
> Has someone claimed otherwise to you?
>
> What is your query performance in in 4.x vs. 3.x? That's the true, proper
> measure of Lucene and Solr performance.
>
> -- Jack Krupansky
>
> -----Original Message----- From: Chris Zhang
> Sent: Sunday, July 07, 2013 12:26 PM
> To: java-user@lucene.apache.org
> Subject: Re: Please Help solve problem of bad read performance in lucene
> 4.2.1
>
>
> thianks Adrien,
> In my project, almost all hit docs are supposed to be fetched for every
> query, what's why I am upset by the poor reading performance. Maybe I
> should store field values which are expected to be stored in high
> performance storage engine.
> In the above test case, time consuming of reading all docs in lucene 3.0 is
> about 78 sec, that reading speed is approximately 10MB/s , but 700+ sec in
> lucene 4.2.1, which indicates reading speed is less than 1MB/s.  So I think
> committer of lucene should pay attention to this.
>
>
> On Sun, Jul 7, 2013 at 10:23 PM, Adrien Grand <jpou...@gmail.com> wrote:
>
>  Indeed, Lucene 4.1+ may be a bit slower for indices that comptelely
>> fit in your file-system cache. On the other hand, you should see
>> better performance with indices which are larger than the amount of
>> physical memory of your machine. Your reading benchmark only measures
>> IndexReader.get(int) which should only be used to display summary
>> results (that is, only called 10 or 20 times per displayed page). Most
>> of time, the bottleneck is rather searching which can be made more
>> efficient on small indices by switching to an in-memory postings
>> format.
>>
>> --
>> Adrien
>>
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