Taking the opportunity Spark was being discussed in another thread, I decided to start a new one as I have interest in using Spark + Cassandra in the feature.
About 3 years ago, Spark was not an existing option and we tried to use hadoop to process Cassandra data. My experience was horrible and we reached the conclusion it was faster to develop an internal tool than insist on Hadoop _for our specific case_. How I can see Spark is starting to be known as a "better hadoop" and it seems market is going this way now. I can also see I have many more options to decide how to integrate Cassandra using the Spark RDD concept than using the ColumnFamilyInputFormat. I have found this java driver made by Datastax: https://github.com/datastax/spark-cassandra-connector I also have found python Cassandra support on spark's repo, but it seems experimental yet: https://github.com/apache/spark/tree/master/examples/src/main/python Finally I have found stratio deep: https://github.com/Stratio/deep-spark It seems Stratio guys have forked Cassandra also, I am still a little confused about it. Question: which driver should I use, if I want to use Java? And which if I want to use python? I think the way Spark can integrate to Cassandra makes all the difference in the world, from my past experience, so I would like to know more about it, but I don't even know which source code I should start looking... I would like to integrate using python and or C++, but I wonder if it doesn't pay the way to use the java driver instead. Thanks in advance
