Thank you for help :)

I'm giving 2048M the JVM for each node.
CPU load is jumping 70-90%.
Memory usage is increasing to max during testing (probably cache is
filling).
I/O I didn't monitor.

I'd like to see answers on my other questions.

2012/6/13 Erick Erickson <erickerick...@gmail.com>

> How much memory are you giving the JVM? Have you put a performance
> monitor on the running process to see what resources have been
> exhausted (i.e. are you I/O bound? CPU bound?)
>
> Best
> Erick
>
> On Tue, Jun 12, 2012 at 3:40 AM, Alexandr Bocharov
> <bocharov.alexa...@gmail.com> wrote:
> > Hi, all.
> >
> > I need advice for configuring Solr search to use at highload production.
> >
> > I've wrote user's search engine (PHP class), that uses over 70 parameters
> > for searching users.
> > User's database is over 30 millions records.
> > Index total size is 6.4G when I use 1 node and 3.2G when 2 nodes.
> > Previous search engine can handle 700,000 queries per day for searching
> > users - it is ~8 queries/sec (4 mysql servers with manual sharding via
> > Gearman)
> >
> > Example of queries are:
> >
> > [responseHeader] => SolrObject Object
> >        (
> >            [status] => 0
> >            [QTime] => 517
> >            [params] => SolrObject Object
> >                (
> >                    [bq] => Array
> >                        (
> >                            [0] => bool_field1:1^30
> >                            [1] => str_field1:str_value1^15
> >                            [2] => tint_field1:tint_field1^5
> >                            [3] => bool_field2:1^6
> >                            [4] => date_field1:[NOW-14DAYS TO NOW]^20
> >                            [5] => date_field2:[NOW-14DAYS TO NOW]^5
> >                        )
> >
> >                    [indent] => on
> >                    [start] => 0
> >                    [q.alt] => *:*
> >                    [wt] => xml
> >                    [fq] => Array
> >                        (
> >                            [0] => tint_field2:[tint_value2 TO
> tint_value22]
> >                            [1] => str_field1:str_value1
> >                            [2] => str_field2:str_value2
> >                            [3] => tint_field3:(tint_value3 OR
> tint_value32
> > OR tint_value33 OR tint_value34 OR tint_value5)
> >                            [4] => tint_field4:tint_value4
> >                            [5] => -bool_field1:[* TO *]
> >                        )
> >
> >                    [version] => 2.2
> >                    [defType] => dismax
> >                    [rows] => 10
> >                )
> >
> >        )
> >
> >
> > I test my PHP search API and found that concurrent random queries, for
> > example 10 queries at one time increases QTime from avg 500 ms to 3000 ms
> > at 2 nodes.
> >
> > 1. How can I tweak my queries or parameters or Solr's config to decrease
> > QTime?
> > 2. What if I put my index data to emulated RAM directory, can it increase
> > greatly performance?
> > 3. Sorting by boost queries has a great influence on QTime, how can I
> > optimize boost queries?
> > 4. If I split my 2 nodes on 2 machines into 6 nodes on 2 machines, 3
> nodes
> > per machine, will it increase performance?
> > 5. What is "multi-core query", how can I configure it, and will it
> increase
> > performance?
> >
> > Thank you!
>

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