ConsistencyLevel.ONE is default option given inside stress.py so I am using 
default one

--- On Fri, 7/9/10, Bill de hÓra <b...@dehora.net> wrote:

From: Bill de hÓra <b...@dehora.net>
Subject: Re: RackAwareStrategy vs RackUnAwareStrategy on AWS EC2 cloud
To: user@cassandra.apache.org
Date: Friday, July 9, 2010, 2:12 PM

  east: A B C 

  west: D

Perhaps you are blocking on a write to D - what's your quorum/rf set up
as?


Bill

On Fri, 2010-07-09 at 10:36 -0700, maneela a wrote:
>         Are there any known performance issues if cassandra cluster
>         launched with RackAwareStrategy because I see huge performance
>         difference between RackAwareStrategy vs RackUnAwareStrategy.
>         Here are details:
>         
>         
>         
>         we have a cluster setup with 4 EC2 X large nodes, 3 of them
>         are running in East region and 4th one is running in West
>         region and they all communicate with each other through VPN
>         tunnel interface which is only way we found to achieve ring
>         architecture across Amazon cloud regions:
>         
>         
>         
>         we are able to process 3.5K write operations per second when
>         we used RackUnAwareStrategy whereas 
>         
>         
>         :/home/ubuntu/cassandra/contrib/py_stress# ./stress.py -o
>         insert -n 80000 -y regular -d
>         ec2-xxx-xxx-xxx-xx.compute-1.amazonaws.com --threads 100
>         --keep-going
>         
>         total,interval_op_rate,avg_latency,elapsed_time
>         
>         35935,3593,0.0289930914479,10
>         
>         70531,3459,0.0289145907593,20
>         
>         80000,946,0.0267288666213,30
>         
>         
>         whereas we are able to process only 250 write operations per
>         second when we used RackAwareStrategy
>         
>         
>         :/home/ubuntu/cassandra/contrib/py_stress# ./stress.py -o
>         insert -n 80000 -y regular -d
>         ec2-xxx-xxx-xxx-xx.compute-1.amazonaws.com --threads 100
>         --keep-going
>         
>         total,interval_op_rate,avg_latency,elapsed_time
>         
>         2327,232,0.434396038355,10
>         
>         4772,244,0.40946514036,20
>         
>         7383,261,0.384504625415,30
>         
>         9924,254,0.392919449861,40
>         
>         12525,260,0.383832110482,50
>         
>         15158,263,0.378838069983,60
>         
>         17784,262,0.383219807364,70
>         
>         20416,263,0.381646275973,80
>         
>         23030,261,0.382550528602,90
>         
>         25644,261,0.384442176815,100
>         
>         28268,262,0.380935921084,110
>         
>         30910,264,0.377376309224,120
>         
>         33541,263,0.385158945698,130
>         
>         36119,257,0.387976026517,140
>         
>         38735,261,0.382333525368,150
>         
>         41342,260,0.38413751514,160
>         
>         43925,258,0.387684800391,170
>         
>         46642,271,0.36899637237,180
>         
>         49291,264,0.378489510164,190
>         
>         51931,264,0.3793784538,200
>         
>         54573,264,0.378474057217,210
>         
>         57253,268,0.374258003573,220
>         
>         59884,263,0.380020038658,230
>         
>         62484,260,0.387267011954,240
>         
>         64728,224,0.439328571054,250
>         
>         67340,261,0.389221810455,260
>         
>         69920,258,0.386144905127,270
>         
>         72531,261,0.384242234948,280
>         
>         75202,267,0.372129596605,290
>         
>         77843,264,0.354621512291,300
>         
>         80000,215,0.183918378283,310
>         
>         
>         
>         Thanks in advance
>         
>         
>         Niru
> 





      

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