Hello Oleg Question 2: yes. The official spark cassandra connector can be found here: https://github.com/datastax/spark-cassandra-connector
There is docs in the doc/ folder. You can read & write directly from/to Cassandra without EVER using HDFS. You still need a resource manager like Apache Mesos though to have high availability of your Spark cluster, on run in stand alone mode and manage fail over yourself, choice is yours Question 3: yes, you can save a massive amount of data into Cassandra Question 4: I've played a little bit with it, it's quite smart, data locality is guaranteed by creating Spark RDD partition mapping directly to Cassandra node having the primary partition range. I have still not played with it into production though so I can't tell anything about stability. Maybe other guys on the list may give their thoughts about it ? Regards Duy Hai DOAN Le 10 sept. 2014 17:35, "Oleg Ruchovets" <oruchov...@gmail.com> a écrit : > Hi , > I try to evaluate different option of spark + cassandra and I have > couple of questions: > My aim is to use cassandra+spark without hadoop: > > 1) Is it possible to use only cassandra as input/output parameter for > PySpark? > 2) In case I'll use Spark (java,scala) is it possible to use only > cassandra - input/output without hadoop? > 3) I know there are couple of strategies for storage level, in case my > data set is quite big and I have no enough memory to process - can I use > DISK_ONLY option without hadoop (having only cassandra)? > 4) please share your experience how stable cassandra + spark integration? > > Thanks > Oleg >
