Well, first off you shouldn't run stress tool on the node your testing.  Give 
it its own box.  

With RF=N=2 your essentially testing a single machine locally which isnt the 
best indicator long term (optimizations available when reading data thats local 
to the node).  80k/sec on a system is pretty good though, your probably seeing 
slower on the 2nd query since its returning 10x the data and there will be more 
to go through within the partition. 42k/sec is still acceptable imho since 
these are smaller boxes.  You are probably seeing high CPU because the system 
is doing a lot :)

If you want to get more out of these systems can do some tuning probably, 
enable trace to see whats actually the bottleneck. 

Collections will very likely hurt more then help.

---
Chris Lohfink

On Sep 23, 2014, at 9:39 AM, Leleu Eric <eric.le...@worldline.com> wrote:

> I tried to run “cassandra-stress” on some of my table as proposed by Jake 
> Luciani.
>  
> For a simple table, this tool is able to perform 80000 read op/s with a few 
> CPU consumption if I request the table by the PK(name, tenanted)
>  
> Ex :  
> TABLE :
>  
> CREATE TABLE IF NOT EXISTS buckets (tenantid varchar,
> name varchar,
> owner varchar,
> location varchar,
> description varchar,
> codeQuota varchar,
> creationDate timestamp,
> updateDate timestamp,
> PRIMARY KEY (name, tenantid));
>  
> QUERY : select * from buckets where name = ? and tenantid = ? limit 1;
>  
> TOP output for 900 threads on cassandra-stress :
> top - 13:17:09 up 173 days, 21:54,  4 users,  load average: 11.88, 4.30, 2.76
> Tasks: 272 total,   1 running, 270 sleeping,   0 stopped,   1 zombie
> Cpu(s): 71.4%us, 14.0%sy,  0.0%ni, 13.1%id,  0.0%wa,  0.0%hi,  1.5%si,  0.0%st
> Mem:  98894704k total, 96367436k used,  2527268k free,    15440k buffers
> Swap:        0k total,        0k used,        0k free, 88194556k cached
>  
>   PID USER      PR  NI  VIRT  RES  SHR S %CPU %MEM    TIME+  COMMAND
> 25857 root      20   0 29.7g 1.5g  12m S 693.0  1.6  38:45.58 java  ç 
> Cassandra-stress
> 29160 cassandr  20   0 16.3g 4.8g  10m S  1.3  5.0  44:46.89 java  ç Cassandra
>  
>  
>  
> Now, If I run another query on a table that provides a list of buckets 
> according to the  owner, the number of op/s is divided by 2  (42000 op/s) and 
> CPU consumption grow UP.
>  
> Ex :  
> TABLE :
>  
> CREATE TABLE IF NOT EXISTS owner_to_buckets (tenantid varchar,
> name varchar,
> owner varchar,
> location varchar,
> description varchar,
> codeQuota varchar,
> creationDate timestamp,
> updateDate timestamp,
> PRIMARY KEY ((owner, tenantid), name));
>  
> QUERY : select * from owner_to_buckets  where owner = ? and tenantid = ? 
> limit 10;
>  
> TOP output for 4  threads on cassandra-stress:
>  
> top - 13:49:16 up 173 days, 22:26,  4 users,  load average: 1.76, 1.48, 1.17
> Tasks: 273 total,   1 running, 271 sleeping,   0 stopped,   1 zombie
> Cpu(s): 26.3%us,  8.0%sy,  0.0%ni, 64.7%id,  0.0%wa,  0.0%hi,  1.0%si,  0.0%st
> Mem:  98894704k total, 97512156k used,  1382548k free,    14580k buffers
> Swap:        0k total,        0k used,        0k free, 90413772k cached
>  
>   PID USER      PR  NI  VIRT  RES  SHR S %CPU %MEM    TIME+  COMMAND
> 29160 cassandr  20   0 13.6g 4.8g  37m S 186.7  5.1  62:26.77 java ç Cassandra
> 50622 root      20   0 28.8g 469m  12m S 102.5  0.5   0:45.84 java ç 
> Cassandra-stress
>  
> TOP output for 271  threads on cassandra-stress:
>  
>  
> top - 13:57:03 up 173 days, 22:34,  4 users,  load average: 4.67, 1.76, 1.25
> Tasks: 272 total,   1 running, 270 sleeping,   0 stopped,   1 zombie
> Cpu(s): 81.5%us, 14.0%sy,  0.0%ni,  3.1%id,  0.0%wa,  0.0%hi,  1.3%si,  0.0%st
> Mem:  98894704k total, 94955936k used,  3938768k free,    15892k buffers
> Swap:        0k total,        0k used,        0k free, 85993676k cached
>  
>   PID USER      PR  NI  VIRT  RES  SHR S %CPU %MEM    TIME+  COMMAND
> 29160 cassandr  20   0 13.6g 4.8g  38m S 430.0  5.1  82:31.80 java ç Cassandra
> 50622 root      20   0 29.1g 2.3g  12m S 343.4  2.4  17:51.22 java ç 
> Cassandra-stress
>  
>  
> I have 4 tables with  a composed PRIMARY KEY (two of them has 4 entries : 2 
> for the partition key, one for cluster column and one for sort column)
> Two of these tables are frequently read with the partition key because we 
> want to list data of a given user, this should explain my CPU load according 
> to the simple test done with Cassandra-stress …
>  
> How can I avoid this?
> Collections could be an option but the number of data per user is not limited 
> and can easily exceed 200 entries. According to the Cassandra documentation, 
> collections have a size limited to 64KB. So it is probably not a solution in 
> my case. L
>  
>  
> Regards,
> Eric
>  
> De : Chris Lohfink [mailto:clohf...@blackbirdit.com] 
> Envoyé : lundi 22 septembre 2014 22:03
> À : user@cassandra.apache.org
> Objet : Re: CPU consumption of Cassandra
>  
> Its going to depend a lot on your data model but 5-6k is on the low end of 
> what I would expect.  N=RF=2 is not really something I would recommend.  That 
> said 93GB is not much data so the bottleneck may exist more in your data 
> model, queries, or client.
>  
> What profiler are you using?  The cpu on the select/read is marked as 
> RUNNABLE but its really more of a wait state that may throw some profilers 
> off, it may be a red haring.
>  
> ---
> Chris Lohfink
>  
> On Sep 22, 2014, at 11:39 AM, Leleu Eric <eric.le...@worldline.com> wrote:
> 
> 
> Hi,
>  
>  
> I’m currently testing Cassandra 2.0.9  (and since the last week 2.1) under 
> some read heavy load…
>  
> I have 2 cassandra nodes (RF : 2) running under CentOS 6 with 16GB of RAM and 
> 8 Cores.
> I have around 93GB of data per node (one Disk of 300GB with SAS interface and 
> a Rotational Speed of 10500)
>  
> I have 300 active client threads and they request the C* nodes with a 
> Consitency level set to ONE (I’m using the CQL datastax driver).
>  
> During my tests I saw  a lot of CPU consumption (70% user / 6%sys / 4% iowait 
> / 20%idle).
> C* nodes respond to around 5000 op/s (sometime up to 6000op/s)
>  
> I try to profile a node and at the first look, 60% of the CPU is passed in 
> the “sun.nio.ch” package. (SelectorImpl.select or Channel.read)
>  
> I know that Benchmark results are highly dependent of the Dataset and use 
> cases, but according to my point of view this CPU consumption is normal 
> according to the load.
> Someone can confirm that point ?
> According to my Hardware configuration, can I expect to have more than 6000 
> read op/s ?
>  
>  
> Regards,
> Eric
>  
>  
>  
>  
>  
> 
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