No, the portion of Bitcask written in C only manages the in memory keydir
structure. Reading and writing of files, coordination of merges, etc. is all
done in Erlang.
Thanks,
Dan
Daniel Reverri
Developer Advocate
Basho Technologies, Inc.
d...@basho.com
On Sun, Nov 28, 2010 at 3:20 AM, Kostya V
>From just the switch to the PBC Transport, I see this kind of increase:
REST HTTP:
MakeRiakPerson took 40.139 ms
MakeRiakPerson took 40.472 ms
MakeRiakPerson took 40.651 ms
MakeRiakPerson took 51.630 ms
MakeRiakPerson took 36.733 ms
ProtoBuffers:
MakeRiakPerson took 1.989 ms
MakeRiakPerson took
About VM resources: I had suspected there would be a hit in this sense, but
I wasn't aware of any actual numbers. Thanks for that
About 3 writes / the need for 2 more nodes: I had no idea about that (x# of
writes per object). Riak is very unfamiliar territory for me. I'll read the
guide that has b
I'm using the defaults for the python library, so that would be the HTTP
Rest interface. There is support for the PBC interface, which I'm looking
into using now.
I had suspected that since I wasn't really using Riak in such a way as to
let it shine (ie, in a cluster of nodes), that might be part
You're using the HTTP interface, which is slower than the Protocal
Buffers interface. You should change your code from:
riak_conn = RiakClient()
bucket = riak_conn.bucket("peopledb")
for i in range(1,100):
try:
new_obj = bucket.new("p" + str(i),MakePerso
Keep in mind that if you are using the standard riak install each of your
writes are actually written three times to disk. The default configuration is
an n_val of 3 for all buckets. For this reason I usually change the default
config file or change the n_val of the specific bucket i'm using for
To add to this, you won't see write speeds as fast as people have reported
in a variety of benchmarks because of I/O subsystem virtualization. You take
a 10-15% performance hit with virtualized disk when using a pure hypervisor
like VMWare ESX. Depending on your VM software, you could be taking a m
This is due to two factors:
1) Durability. MongoDB stores writes in RAM and flushes them to disk
periodically (by default, every 60 seconds, according to this page:
http://www.mongodb.org/display/DOCS/Durability+and+Repair). This means that
its writes can seem very, very fast, but if the machine
Hello,
I've recently started to explore using Riak (v0.13.0-2) from Python (v2.6.5)
as a datastore, and I've run into a performance issue that I'm unsure of the
true origin of, and would like some input from users who have been working
with Riak and its Python drivers.
I have 2 tests set up, one
Is there any way to use it without Erlang, just with C ?
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