I sent the error that I am getting from basho_bench in as another thread but
no response yet.
From: Jeremiah Peschka [mailto:jeremiah.pesc...@gmail.com]
Sent: Tuesday, March 12, 2013 8:08 PM
To: Kevin Burton
Cc: riak-users
Subject: Re: MapReduce performance problem
Have you managed to
> a Joyent Cloud or AWS image.
>
> ** **
>
> *From:* Kevin Burton [mailto:rkevinbur...@charter.net]
> *Sent:* Tuesday, February 26, 2013 6:36 PM
> *To:* 'Jeremiah Peschka'; 'riak-users'
> *Subject:* RE: MapReduce performance problem
>
&
finition_bin\">>,<<\"Costume\">>},{<<\"department_bin\"
>>,<<\"Adult
Costumes\">>},{<<\"...\">>,...}]],...}}},...}],...},...}","type":"forward_pr
eflist","stack":&qu
gt;>,...}]],...}}},...}],...},...}","type":"forward_preflist","stack":"[]"}
> – CommunicationError
>
> ** **
>
> The ‘Department’ MapReduce with an AWS instance also returned three
> ‘failed’ phases.
>
> ** **
>
> K
t;,<<\"Costume\">>},{<<\"department_bin\"
>>,<<\"Adult
Costumes\">>},{<<\"...\">>,...}]],...}}},...}],...},...}","type":"forward_pr
eflist","stack":"[]"} - Communicatio
stume\">>},{<<\"department_b
in\">>,<<\"Kid's
Costumes\">>},{<<...>>,...}]],...}}},...}],...},...}","type":"forward_prefli
st","stack":"[]"} - CommunicationError
From: riak-user
will be better options for ad hoc workloads
than MapReducing across the cluster.
>
>
> ** **
>
> *From:* riak-users [mailto:riak-users-boun...@lists.basho.com] *On Behalf
> Of *Jeremiah Peschka
> *Sent:* Tuesday, February 26, 2013 1:33 PM
> *To:* riak-users
> *Sub
Peschka
Sent: Tuesday, February 26, 2013 1:33 PM
To: riak-users
Subject: Re: MapReduce performance problem
Before you go troubleshooting performance problems, I'd focus on getting
results out of basho_bench and getting a good understanding of your
environment. If you're running 4 gue
Before you go troubleshooting performance problems, I'd focus on getting
results out of basho_bench and getting a good understanding of your
environment. If you're running 4 guests with 1 vCPU each on the same VM
host with all guests sharing a single pool of disks, no amount of tuning
will solve th
I have a simple CorrugatedIron client that makes the following request:
IRiakClient riakClient = cluster.CreateClient();
RiakBinIndexRangeInput bucketKeyInput = new
RiakBinIndexRangeInput(productBucketName, "$key", "", "");
RiakM
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