The general pattern is to use get_range_slices as you describe, also http://wiki.apache.org/cassandra/FAQ#iter_worldNote you should be used the key fields on the KeyRange not the tokens. There have been a few issues around with using the RandomPartitioner so it may be best to get on 0.6.6 if you c
For this case, the order doesn't matter, I just need to page over all of the
data X rows at a time. When I use column_family.get_range from pycassa and
pass in the last key as the new start key, I do not get all of the results.
I have found a few posts about this, but I did not find a recommended
I don't think I understand what you're trying to do. Do you want to page
over the whole column
family X rows at a time? Does it matter if the rows are in order?
- Tyler
On Tue, Oct 19, 2010 at 5:22 PM, Robert wrote:
> I have a similar question. Is there a way to divide this into multiple
> re
I have a similar question. Is there a way to divide this into multiple
requests? I am using Cassandra v0.6.4, RandomPartitioner, and the pycassa
library.
Can I use get_range_slices with a start_token=0, and then recalculate the
token from the last value key returned until it equals it loops arou
KeyRange as a count on it, the default is 100. For the ordering, double check you are using the OrderPreserving partitioner It it's still out of order send an example. CheersAaronOn 20 Oct, 2010,at 09:39 AM, Wicked J wrote:Hi,I inserted 500 rows (records) in Cassandra and I'm using the following c
Hi,
I inserted 500 rows (records) in Cassandra and I'm using the following code
to retrieve all the inserted rows. However, I'm able to get only 100 rows
(in a random order). I'm using Cassandra v0.6.4 with OrderPreserving
Partition on a single node/instance.
How can I get all the rows inserted? i.
