It's not BloomFilter. 

Cassandra will read through sstable index files on start-up, doing what is 
known as "index sampling". This is used to keep a subset (currently and by 
default, 1 out of 100) of keys and and their on-disk location in the index, in 
memory. See ArchitectureInternals. This means that the larger the index files 
are, the longer it takes to perform this sampling. Thus, for very large indexes 
(typically when you have a very large number of keys) the index sampling on 
start-up may be a significant issue.

http://wiki.apache.org/cassandra/LargeDataSetConsiderations

-Wei

----- Original Message -----
From: "Alain RODRIGUEZ" <arodr...@gmail.com>
To: user@cassandra.apache.org
Sent: Wednesday, March 13, 2013 11:28:28 AM
Subject: Re: About the heap


" called index_interval set to 128" 


I think this is for BloomFilters actually. 



2013/3/13 Hiller, Dean < dean.hil...@nrel.gov > 


Going to 1.2.2 helped us quite a bit as well as turning on LCS from STCS which 
gave us smaller bloomfilters. 

As far as key cache. There is an entry in cassandra.yaml called index_interval 
set to 128. I am not sure if that is related to key_cache. I think it is. By 
turning that to 512 or maybe even 1024, you will consume less ram there as well 
though I ran this test in QA and my key cache size stayed the same so I am 
really not sure(I am actually checking out cassandra code now to dig a little 
deeper into this property. 

Dean 

From: Alain RODRIGUEZ < arodr...@gmail.com <mailto: arodr...@gmail.com >> 
Reply-To: " user@cassandra.apache.org <mailto: user@cassandra.apache.org >" < 
user@cassandra.apache.org <mailto: user@cassandra.apache.org >> 
Date: Wednesday, March 13, 2013 10:11 AM 
To: " user@cassandra.apache.org <mailto: user@cassandra.apache.org >" < 
user@cassandra.apache.org <mailto: user@cassandra.apache.org >> 
Subject: About the heap 



Hi, 

I would like to know everything that is in the heap. 

We are here speaking of C*1.1.6 

Theory : 

- Memtable (1024 MB) 
- Key Cache (100 MB) 
- Row Cache (disabled, and serialized with JNA activated anyway, so should be 
off-heap) 
- BloomFilters (about 1,03 GB - from cfstats, adding all the "Bloom Filter 
Space Used" and considering they are showed in Bytes - 1103765112) 
- Anything else ? 

So my heap should be fluctuating between 1,15 GB and 2.15 GB and growing slowly 
(from the new BF of my new data). 

My heap is actually changing from 3-4 GB to 6 GB and sometimes growing to the 
max 8 GB (crashing the node). 

Because of this I have an unstable cluster and have no other choice than use 
Amazon EC2 xLarge instances when we would rather use twice more EC2 Large 
nodes. 

What am I missing ? 

Practice : 

Is there a way not inducing any load and easy to do to dump the heap to analyse 
it with MAT (or anything else that you could advice) ? 

Alain 


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