On 18.01.2012, at 02:19, Maki Watanabe wrote:
> Are there any significant difference of number of sstables on each nodes?
No, no significant difference there. Actually, node 8 is among those with more 
sstables but with the least load (20GB)

On 17.01.2012, at 20:14, Jeremiah Jordan wrote:
> Are you deleting data or using TTL's?  Expired/deleted data won't go away 
> until the sstable holding it is compacted.  So if compaction has happened on 
> some nodes, but not on others, you will see this.  The disparity is pretty 
> big 400Gb to 20GB, so this probably isn't the issue, but with our data using 
> TTL's if I run major compactions a couple times on that column family it can 
> shrink ~30%-40%.
Yes, we do delete data. But I agree, the disparity is too big to blame only the 
deletions. 

Also, initially, we started out with 3 nodes and upgraded to 8 a few weeks ago. 
After adding the node, we did
compactions and cleanups and didn't have a balanced cluster. So that should 
have removed outdated data, right?

> 2012/1/18 Marcel Steinbach <marcel.steinb...@chors.de>:
>> We are running regular repairs, so I don't think that's the problem.
>> And the data dir sizes match approx. the load from the nodetool.
>> Thanks for the advise, though.
>> 
>> Our keys are digits only, and all contain a few zeros at the same
>> offsets. I'm not that familiar with the md5 algorithm, but I doubt that it
>> would generate 'hotspots' for those kind of keys, right?
>> 
>> On 17.01.2012, at 17:34, Mohit Anchlia wrote:
>> 
>> Have you tried running repair first on each node? Also, verify using
>> df -h on the data dirs
>> 
>> On Tue, Jan 17, 2012 at 7:34 AM, Marcel Steinbach
>> <marcel.steinb...@chors.de> wrote:
>> 
>> Hi,
>> 
>> 
>> we're using RP and have each node assigned the same amount of the token
>> space. The cluster looks like that:
>> 
>> 
>> Address         Status State   Load            Owns    Token
>> 
>> 
>> 205648943402372032879374446248852460236
>> 
>> 1       Up     Normal  310.83 GB       12.50%
>>  56775407874461455114148055497453867724
>> 
>> 2       Up     Normal  470.24 GB       12.50%
>>  78043055807020109080608968461939380940
>> 
>> 3       Up     Normal  271.57 GB       12.50%
>>  99310703739578763047069881426424894156
>> 
>> 4       Up     Normal  282.61 GB       12.50%
>>  120578351672137417013530794390910407372
>> 
>> 5       Up     Normal  248.76 GB       12.50%
>>  141845999604696070979991707355395920588
>> 
>> 6       Up     Normal  164.12 GB       12.50%
>>  163113647537254724946452620319881433804
>> 
>> 7       Up     Normal  76.23 GB        12.50%
>>  184381295469813378912913533284366947020
>> 
>> 8       Up     Normal  19.79 GB        12.50%
>>  205648943402372032879374446248852460236
>> 
>> 
>> I was under the impression, the RP would distribute the load more evenly.
>> 
>> Our row sizes are 0,5-1 KB, hence, we don't store huge rows on a single
>> node. Should we just move the nodes so that the load is more even
>> distributed, or is there something off that needs to be fixed first?
>> 
>> 
>> Thanks
>> 
>> Marcel
>> 
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