Yep. In all benchmarks response times for tiny data start at about 1-2ms but
not in our new setup. Which is why I am at loss where to start looking.
Seems like a network congestion but it can't be. Its a barebone setup and
admins tell me they have tested it for performance.

apologies for brevity.

Sent from my android.
-Dmitriy
On Apr 19, 2011 6:29 PM, "Ted Dunning" <[email protected]> wrote:
> For a tiny test like this, everything should be in memory and latency
> should be very low.
>
> On Tue, Apr 19, 2011 at 5:39 PM, Dmitriy Lyubimov <[email protected]>
wrote:
>> PS so what should latency be for reads in 0.90, assuming moderate
thruput?
>>
>> On Tue, Apr 19, 2011 at 5:39 PM, Dmitriy Lyubimov <[email protected]>
wrote:
>>> for this test, there's just no more than 40 rows in every given table.
>>> This is just a laugh check.
>>>
>>> so i think it's safe to assume it all goes to same region server.
>>>
>>> But latency would not depend on which server call is going to, would
>>> it? Only throughput would, assuming we are not overloading.
>>>
>>> And we clearly are not as my single-node local version runs quite ok
>>> response times with the same throughput.
>>>
>>> It's something with either client connections or network latency or
>>> ... i don't know what it is. I did not set up the cluster but i gotta
>>> troubleshoot it now :)
>>>
>>>
>>>
>>> On Tue, Apr 19, 2011 at 5:23 PM, Ted Dunning <[email protected]>
wrote:
>>>> How many regions?  How are they distributed?
>>>>
>>>> Typically it is good to fill the table some what and then drive some
>>>> splits and balance operations via the shell.  One more split to make
>>>> the regions be local and you should be good to go.  Make sure you have
>>>> enough keys in the table to support these splits, of course.
>>>>
>>>> Under load, you can look at the hbase home page to see how
>>>> transactions are spread around your cluster.  Without splits and local
>>>> region files, you aren't going to see what you want in terms of
>>>> performance.
>>>>
>>>
>>

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