same thing, you are going to need multiple threads to max it out
but yes, reads are typically slower than writes in cassandra because
of how the log-based merge structures work
On Mon, Dec 7, 2009 at 11:09 AM, Timo Nentwig <timo.nentwig@wooga.net> wrote:
>
> On Dec 7, 2009, at 5:59 PM, Jonathan Ellis wrote:
>
>> yes and no -- that's about 4200/s, which is typical for only a single
>
> When writing, yes. But I would expect reading to be much faster (?). Re-executing the
read test doesn't speed up things either (I/O caches).
>
>> thread but 1/3 to 1/5 of what you'd expect it to max out (on our
>> quad-core test boxes) when you add client threads
>>
>> On Mon, Dec 7, 2009 at 10:38 AM, Timo Nentwig <timo.nentwig@wooga.net> wrote:
>>> Hi!
>>>
>>> I just downloaded, installed, start cassandra and ran very simple "benchmark":
write n times something with key==value==testInsertAndGetAndRemove_n (one thread).
>>>
>>> For n==10 million on a 7200rpm HDD (4G RAM - there should have be "reasonably"
free mem however I didn't check) this took 40min (insert()ing one after another). Reading
them one by one in sequence delivers about 100/s, reading in 1.000er batches (i.e. multigetColumn())
takes 5-10s (depending on n, the higher the slower).
>>>
>>> Are this typical numbers for cassandra (0.5)? I actually took the configuration
as it was.
>
>
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