Hi Igor,
I was talking about 99th percentile from the Cassandra histograms when I said '1 or 2 ms for most cf'. But we have measured client side too and generally get a couple ms added on top.. as one might expect. Anyone interested - diskio (my original question) we have tried out the multiple SSD setup and found it to work well and reduce the impact of a repair on node performance. We ended up going with the single data directory in cassandra.yaml and mount one SSD against that. Then have a dedicated SSD per large column family. We're now moving all of nodes to have the same setup. Chris From: Igor [mailto:i...@4friends.od.ua] Sent: 23 May 2013 15:00 To: user@cassandra.apache.org Subject: Re: High performance disk io Hello Christopher, BTW, are you talking about 99th percentiles on client side, or about percentiles from cassandra histograms for CF on cassandra side? Thanks! On 05/22/2013 05:41 PM, Christopher Wirt wrote: Hi Igor, Yea same here, 15ms for 99th percentile is our max. Currently getting one or two ms for most CF. It goes up at peak times which is what we want to avoid. We're using Cass 1.2.4 w/vnodes and our own barebones driver on top of thrift. Needed to be .NET so Hector and Astyanax were not options. Do you use SSDs or multiple SSDs in any kind of configuration or RAID? Thanks Chris From: Igor [mailto:i...@4friends.od.ua] Sent: 22 May 2013 15:07 To: user@cassandra.apache.org Subject: Re: High performance disk io Hello What level of read performance do you expect? We have limit 15 ms for 99 percentile with average read latency near 0.9ms. For some CF 99 percentile actually equals to 2ms, for other - to 10ms, this depends on the data volume you read in each query. Tuning read performance involved cleaning up data model, tuning cassandra.yaml, switching from Hector to astyanax, tuning OS parameters. On 05/22/2013 04:40 PM, Christopher Wirt wrote: Hello, We're looking at deploying a new ring where we want the best possible read performance. We've setup a cluster with 6 nodes, replication level 3, 32Gb of memory, 8Gb Heap, 800Mb keycache, each holding 40/50Gb of data on a 200Gb SSD and 500Gb SATA for OS and commitlog Three column families ColFamily1 50% of the load and data ColFamily2 35% of the load and data ColFamily3 15% of the load and data At the moment we are still seeing around 20% disk utilisation and occasionally as high as 40/50% on some nodes at peak time.. we are conducting some semi live testing. CPU looks fine, memory is fine, keycache hit rate is about 80% (could be better, so maybe we should be increasing the keycache size?) Anyway, we're looking into what we can do to improve this. One conversion we are having at the moment is around the SSD disk setup.. We are considering moving to have 3 smaller SSD drives and spreading the data across those. The possibilities are: -We have a RAID0 of the smaller SSDs and hope that improves performance. Will this acutally yield better throughput? -We mount the SSDs to different directories and define multiple data directories in Cassandra.yaml. Will not having a layer of RAID controller improve the throughput? -We mount the SSDs to different columns family directories and have a single data directory declared in Cassandra.yaml. Think this is quite attractive idea. What are the drawbacks? System column families will be on the main SATA? -We don't change anything and just keep upping our keycache. -Anything you guys can think of. Ideas and thoughts welcome. Thanks for your time and expertise. Chris
