atbr – supports websocket-based sharding

atbr (large-scale and low-latency in-memory key-value pair store) now supports websocket-based sharding for parallel deployments.

Websocket Sharding Example

Checkout and install atbr
[code]
$ git clone git@github.com:atbrox/atbr.git
$ cd atbr
$ sudo ./INSTALL.sh
[/code]

Start 3 servers loaded with data
[code]
$ cd atbrserver
$ python atbr_server.py 8585 shard_data_1.tsv
$ python atbr_server.py 8686 shard_data_2.tsv
$ python atbr_server.py 8787 shard_data_3.tsv
[/code]

Start shard server talking to shards
[code]
$ python atbr_shard_server.py localhost:8585 \
localhost:8686 localhost:8787
[/code]

Connect to shard server and lookup key=key1
[code]
$ python atbr_websocket_cmdline_client.py key1
[/code]

Stay tuned for other updates on atbr, here is a rough roadmap.

• Increased concurrency and threadsafety support
• Increased reliability in sharded deployments (with Apache Zookeeper)
• Simplified and automated sharded deployment on AWS and clusters
• Benchmarks
• Comparison with other storage alternative (e.g. HBase, Redis, MongoDB, CouchDB and Cassandra)
• End-to-end examples (from hadoop/mapreduce jobs to serving)
• (in-memory) map(reduce) support with Lua or C++
• Thrift support
• Avro support
• large-scale graph processing example (ref: NetworkX)
• Case studies

Documentation
atbr.atbrox.com

Best regards,

Amund Tveit (@atveit)
Atbrox