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From "Buttler, David" <buttl...@llnl.gov>
Subject RE: Inserting Random Data into HBASE
Date Thu, 02 Dec 2010 16:14:42 GMT
5 is okay, more is better.  It would be interesting to figure out where the lowest cost / row
insert is on an amazon cluster.  Do note that you want to have the bigger machines so that
you can give plenty of memory (8GB is better) to each regionserver, and still have enough
left over for your map jobs [I would avoid using a reduce step for this kind of test]

-----Original Message-----
From: rajgopalv [mailto:raja.fire@gmail.com] 
Sent: Thursday, December 02, 2010 4:29 AM
To: hbase-user@hadoop.apache.org
Subject: Re: Inserting Random Data into HBASE

@Mike : 
I am using the client side cache. I collect the puts in an arratylist and
put it together. using HTable.put(List l);

MR seems to be a good idea. 
I'm relatively new to HBase, haven't worked in a real world hbase cluster.
So to begin with, could u recommend me a size of a cluster. ( i'm thinking
of 5, should i have more ? I'll be using EC2 machines and EBS for storage..
Thats fine right?)  And replication factor 3 will be sufficient enough right

@ Alex Baranau. What is a good bufferSize ? I'm using the default.

@amit. Thanks man. But MR seems to be a better option right? 

rajgopalv wrote:
> Hi, 
> I have to test hbase as to how long it takes to store 100 Million Records.
> So i wrote a simple java code which 
> 1 : generates random key and 10 columns per key and random values for the
> 10 columns.
> 2 : I make a Put object out of these and store it in arrayList
> 3 : When arrayList's size reaches 5000 i do table.put(listOfPuts);
> 4 : repeat until i put 100 million records.
> And i run this java program as single threaded java program. 
> Am i doing it right? is there any other way of importing large data for
> testing.? [ for now i'm not considering BULK data import/loadtable.rb etc. 
> apart from this is there any other way ?] 

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