Hey Guys,

AFAIK, currently Cassandra partitions (thrift) rows using the row key, 
basically uses the hash(row_key) to decide what node that row needs to be 
stored on. Now there are times when there is a need to shard a wide row, say 
storing events per sensor, so you’d have sensorId-datetime row key so you don’t 
end up with very large rows. Is there a way to have the partitioner use only 
the “sensorId” part of the row key for the hash? This way we would be able to 
store all the data relating to a sensor in one node.

Another use case of this would be multi-tenancy:

Say we have accounts and accounts have users. So we would have the following 
tables:

CREATE TABLE account (
  id                     timeuuid PRIMARY KEY,
  company         text      //timezone
);

CREATE TABLE user (
  id              timeuuid PRIMARY KEY, 
  accountId timeuuid,
  email        text,
  password text
);

// Get users by account
CREATE TABLE user_account_index (
  accountId  timeuuid,
  userId        timeuuid,
  PRIMARY KEY(acid, id)
);

Say I want to get all the users that belong to an account. I would first have 
to get the results from user_account_index and then use a multi-get (WHERE IN) 
to get the records from user table. Now this multi-get part could potentially 
query a lot of different nodes in the cluster. It’d be great if there was a way 
to limit storage of users of an account to a single node so that way multi-get 
would only need to query a single node. 

Note that the problem cannot be simply fixed by using (accountId, id) as the 
primary key for the user table since that would create a problem of having a 
very large number of (thrift) rows in the users table.

I did look thru the code and JIRA and I couldn’t really find a solution. The 
closest I got was to have a custom partitioner, but then you can’t have a 
partitioner per keyspace and that’s not even something that’d be implemented in 
future based on the following JIRA:
https://issues.apache.org/jira/browse/CASSANDRA-295

Any ideas are much appreciated.

Best,

Drew

Reply via email to