datastax

I am quite new to Cassandra, I just learned it with Datastax courses, but I don't find enough information on bucket here or on the Internet and in my application I need to use buckets to split my data. I have some instruments that will make measures, quite a lot, and splitting the measures daily (timestamp as partition key) might be a bit risky as we can easily reach the limit of 100MB for a partition. Each measure concerns a specific object identified with an ID. So I would like to use a bucket, but I don't know how to do. I'm using Cassandra 3.7 Here is how my table will look like, roughly:

Update 2 There was a bug in Opscenter not matching dsc22 configuration with cassandra community version, this solved one problem. Update After reading the opscenter log again I think there actually something wrong with the 4 authentication fields or some ssh configuration, but I still don't know what exactly should be done, The field says "Local node credentials (sudo) private key (optional) the scenario is as following: I installed 4 nodes with vagrant and ansible where each has dsc22,opscenter (redundant I know),datastax-agent,cassandra-tool, oracle java 8 configuration below nodetool status

I'm having trouble connecting to Cassandra (running on an EC2 node) remotely (from my laptop). When I use the DataStax Python driver for Cassandra: from cassandra.cluster import Cluster cluster = Cluster(['10.X.X.X'], port=9042) cluster.connect() I get: Traceback (most recent call last): File "/Users/user/virtualenvs/test/lib/python2.7/site-packages/IPython/core/interactiveshell.py", line 3035, in run_code exec(code_obj, self.user_global_ns, self.user_ns) File "<ipython-input-23-dc85f20fd4f5>", line 1, in <module> session = cluster.connect() File "/Users/user/virtualenvs/test/lib/python2.7

I'm currently looking trying out Cassandra database. I'm using DataStax Dev center and DataStax C# driver. My Current model is quite simple and consists of only: ParameterId (int) - would serve as the id of the table. Value (bigint) MeasureTime (timestamp) I will be having 1000 (no more, no less) parameters, from 1 - 1000. And will be getting an entry for each parameter once pr. second and will be running for years. My question is regarding whether it is better practice to create a table as: CREATE TABLE keyspace.measurement ( parameterId int, value bigint, measureTime timestamp, PRIMARY KEY

In my application logs I've seen that, by default, after running create/alter table statements, cassandra driver seems to do processing to bring schema into agreement for up to 10 seconds. Can I (and should I) set a consistency level for example 'quorum' while executing DDL statements like 'Create Table .. IF NOT EXISTS' to make sure my table gets created and propagated to all nodes? Schema changes (data definition) in Cassandra since 1.1+ are done via gossip . Since it uses Gossip, it is a separate read/write path than your typical data manipulation requests (SELECT, DELETE, INSERT, etc), and