I am certainly interested in streaming and have talked to others that are. I'm the author of the Hadoopy http://bwhite.github.com/hadoopy/ python library and I'm interested in taking another stab at streaming support. Hadoopy and Dumbo both use the TypedBytes format that is in CDH for communication with the streaming jar. A simple way to get this to work is modify the streaming code (make hadoop-cassandra-streaming.jar) so that it uses the same TypedBytes communication with streaming programs, but the actual job IO is using the Cassandra IO. The user would have the exact same streaming interface, but the user would specify the keyspace, etc using environmental variables.
The benefits of this are
1. Easy implementation: Take the cloudera-patched version of streaming and change the IO, add environmental variable reading.
2. Only Client side: As the streaming jar is included in the job, no server side changes are required.
3. Simple maintenance: If the Hadoop Cassandra interface changes, then this would require the same simple fixup as any other Hadoop job.
4. The TypedBytes format supports all of the necessary Cassandara types (https://issues.apache.org/jira/browse/HADOOP-5450)
5. Compatible with existing streaming libraries: Hadoopy and dumbo would only need to know the path of this new streaming jar
6. No need for avro
The negatives of this are
1. Duplicative code: This would be a dupe and patch of the streaming jar. This can be stored itself as a patch.
2. I'd have to check but this solution should work on a stock hadoop (cluster side) but it requires TypedBytes (client side) which can be included in the jar.
I can code this up but I wanted to get some feedback from the community first.