Hi all - This is my first post to the list. I'm a relative Riak newbie, though I have some experience working with multi-terabyte datasets on other platforms. Last night, I kicked off my first "large" load of data as a test of the platform with about 1,000,000 json objects being loaded into a bucket. I had a couple performance issues, so I'm wondering if someone on the list could be kind enough to answer a few questions that will help me troubleshoot.
a) I haven't analyzed all of my load log data yet, but it look like writes went from about 0.02 seconds per object to a couple minutes per object! This is the typical "dev" setup from the tutorials, and I forgot to divide available RAM by 4 to arrive at a number per node - is this likely the result of a memory constraint, or should I be looking elsewhere, beyond just bumping the memory on my VM? I looked at the logs, but I'm not sure what I should be looking for. b) I am using protocol buffers, and I saw similar initial performance when running the load from a separate machine vs. having the data on the riak machine itself. Is that what you would recommend? I'm wondering if there is any hard/fast rule re: CPU/Memory contention on the machine vs. network performance of loading from a different machine. c) I'm using a sha256 hash as my bucket name. I read that buckets and keys are concatenated internally and that all objects have just one "bucketkey". Am I putting significantly more pressure on memory by using such a long bucket name? Or is Riak managing that for me via some sort of compression? If that long hash is being replicated for each of those million objects, I can see where my memory estimates would have been low. I can always use an integer ID for my bucket name, the hash just existed elsewhere in my application, so I used it without thinking about it too much. Thanks in advance for your help! Loving Riak so far, in spite of these trivial hurdles. Regards, Pinney
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