RE: Read Perf

2013-02-26 Thread Kanwar Sangha
@cassandra.apache.orgmailto:user@cassandra.apache.org Date: Monday, February 25, 2013 8:31 PM To: user@cassandra.apache.orgmailto:user@cassandra.apache.org user@cassandra.apache.orgmailto:user@cassandra.apache.org Subject: Read Perf Hi - I am doing a performance run using modified YCSB client and was able

Re: Read Perf

2013-02-26 Thread Hiller, Dean
be the same. The only thing which changes is the columns and they keep getting added. -Original Message- From: Hiller, Dean [mailto:dean.hil...@nrel.gov] Sent: 26 February 2013 09:21 To: user@cassandra.apache.org Subject: Re: Read Perf To find stuff on disk, there is a bloomfilter for each file

Re: Read Perf

2013-02-26 Thread Hiller, Dean
[mailto:dean.hil...@nrel.gov] Sent: 26 February 2013 09:32 To: user@cassandra.apache.org Subject: Re: Read Perf In that case, make sure you don't plan on going into the millions or test the limit as I pretty sure it can't go above 10 million. (from previous posts on this list). Dean On 2/26/13 8

Read Perf

2013-02-25 Thread Kanwar Sangha
Hi - I am doing a performance run using modified YCSB client and was able to populate 8TB on a node and then ran some read workloads. I am seeing an average TPS of 930 ops/sec for random reads. There is no key cache/row cache. Question - Will the read TPS degrade if the data size increases to

Read perf investigation

2011-11-03 Thread Ian Danforth
All, I've done a bit more homework, and I continue to see long 200ms to 300ms read times for some keys. Test Setup EC2 M1Large sending requests to a 5 node C* cluster also in EC2, also all M1Large. RF=3. ReadConsistency = ONE. I'm using pycassa from python for all communication. Data Model

RE: Read perf investigation

2011-11-03 Thread Dan Hendry
, is your problem. Perhaps consider RAID0 with ephemeral drives. Dan From: Ian Danforth [mailto:idanfo...@numenta.com] Sent: November-03-11 18:34 To: user@cassandra.apache.org Subject: Read perf investigation All, I've done a bit more homework, and I continue to see long 200ms to 300ms