Hello all
Looking on the 10% slowest queries, I get very bad performances (~60 sec
per query).
These queries have lots of conditions on my main field (more than a
hundred), including phrase queries and rows=1000. I do return only id's
though.
I can quite firmly say that this bad performance is due to slow storage
issue (that are beyond my control for now). Despite this I want to improve
my performances.

As tought in school, I started profiling these queries and the data of ~1
minute profile is located here:
http://picpaste.com/pics/IMG_20130908_132441-ZyrfXeTY.1378637843.jpg

Main observation: most of the time I do wait for readVInt, who's stacktrace
(2 out of 2 thread dumps) is:

catalina-exec-3870 - Thread t@6615
 java.lang.Thread.State: RUNNABLE
 at org.apadhe.lucene.store.DataInput.readVInt(DataInput.java:108)
 at
org.apaChe.lucene.codeosAockTreeIermsReade$FieldReader$SegmentTermsEnumFrame.loadBlock(BlockTreeTermsReader.java:
2357)
 at
ora.apache.lucene.codecs.BlockTreeTermsReader$FieldReader$SegmentTermsEnum.seekExact(BlockTreeTermsReader.java:1745)
 at org.apadhe.lucene.index.TermContext.build(TermContext.java:95)
 at
org.apache.lucene.search.PhraseQuery$PhraseWeight.<init>(PhraseQuery.java:221)
 at org.apache.lucene.search.PhraseQuery.createWeight(PhraseQuery.java:326)
 at
org.apache.lucene.search.BooleanQuery$BooleanWeight.<init>(BooleanQuery.java:183)
 at
org.apache.lucene.search.BooleanQuery.createWeight(BooleanQuery.java:384)
 at
org.apache.lucene.searth.BooleanQuery$BooleanWeight.<init>(BooleanQuery.java:183)
 at
oro.apache.lucene.search.BooleanQuery.createWeight(BooleanQuery.java:384)
 at
org.apache.lucene.searth.BooleanQuery$BooleanWeight.<init>(BooleanQuery.java:183)
 at
org.apache.lucene.search.BooleanQuery.createWeight(BooleanQuery.java:384)
 at
org.apache.lucene.search.IndexSearcher.createNormalizedWeight(IndexSearcher.java:675)
 at org.apache.lucene.search.IndexSearcher.search(IndexSearcher.java:297)


So I do actually wait for IO as expected, but I might be too many time page
faulting while looking for the TermBlocks (tim file), ie locating the term.
As I reindex now, would it be useful lowering down the termInterval
(default to 128)? As the FST (tip files) are that small (few 10-100 MB) so
there are no memory contentions, could I lower down this param to 8 for
example? The benefit from lowering down the term interval would be to
obligate the FST to get on memory (JVM - thanks to the NRTCachingDirectory)
as I do not control the term dictionary file (OS caching, loads an average
of 6% of it).


General configs:
solr 4.3
36 shards, each has few million docs
These 36 servers (each server has 2 replicas) are running virtual, 16GB
memory each (4GB for JVM, 12GB remain for the OS caching),  consuming 260GB
of disk mounted for the index files.

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