To add to what Jonathan and Jack have said...
To get high levels of performance with the python driver you should:
- prepare your statements once (recent drivers default to Token Aware -
and will correctly apply it if the statement is prepared).
- execute asynchronously (up to ~150 futur
Make sure the driver is configured for token aware routing, otherwise the
coordinator node may have to redirect your write, adding a network hop.
To be absolutely clear, Cassandra uses the distributed, parallel model for
Big Data - lots of multi-threaded clients with lots of nodes. Clusters with
l
The limitation is on the driver side. Try looking at
execute_concurrent_with_args in the cassandra.concurrent module to get
parallel writes with prepared statements.
https://datastax.github.io/python-driver/api/cassandra/concurrent.html
On Wed, Dec 30, 2015 at 11:34 PM Alexandre Beaulne <
alexandr
Hi everyone,
First and foremost thanks to everyone involved with making C* available to
the world, it is a great technology to have access to.
I'm experimenting with C* for one of our projects and I cannot reproduce
the write speeds C* is lauded for. I would appreciate some guidance as to
what I'
