Hi,
I have a specific use case to address with Cassandra and I can't get my head
around whether using Hadoop on top creates any significant benefit or not.
Situation:
I have product data and each product 'contains' a number of articles (100 /
product), representing individual colors/sizes
Hi all,
I use pycassa and I want to store lists and tuples in cassandra by
serializing them using MessagePack. Seems like custom data type is what I
need. Here is data type I created:
##
class MyListType(CassandraType):
@staticmethod
def pack(value):
Hi.
According to Datastax documentation about atomicity in Cassandra: QUORUM
write succeeded only on one node will not be rolled back (Check Atomicity
chapter there:
http://www.datastax.com/documentation/cassandra/1.2/webhelp/index.html#cassandra/dml/dml_about_transactions_c.html).
So when I am