The problem was - I calculated 3 tokens for random partitioner but
used them with BOP, so nodes were not supposed to be loaded evenly.
That's ok, I got it.
But what I don't understand, why nodetool ring shows equal ownership.
This is an example:
I created small cluster with BOP and three tokens
00
This is an issue with using the BOP.
If you are just starting out stick with the Random Partitioner.
Cheers
-
Aaron Morton
Freelance Developer
@aaronmorton
http://www.thelastpickle.com
On 5/10/2012, at 10:33 AM, Andrey Ilinykh wrote:
> It was my first thought.
> Then I md5
It was my first thought.
Then I md5 uuid and used the digest as a key:
MessageDigest md = MessageDigest.getInstance("MD5");
//in the loop
UUID uuid = UUID.randomUUID();
byte[] bytes = md.digest(asByteArray(uuid));
the result is exactly the same, first node takes 66%, second 33% and
third one is
Hi Andrey,
while the data values you generated might be following a true random
distribution, your row key, UUID, is not (because it is created on the same
machines by the same software with a certain window of time)
For example, if you were using the UUID class in Java, these would be
composed f
Hello, everybody!
I'm observing very strange behavior. I have 3 node cluster with
ByteOrderPartitioner. (I run 1.1.5)
I created a key space with replication factor of 1.
Then I created one column family and populated it with random data.
I use UUID as a row key, and Integer as a column name.
Row k
