ALL COVERED TOPICS

NoSQL Benchmarks NoSQL use cases NoSQL Videos NoSQL Hybrid Solutions NoSQL Presentations Big Data Hadoop MapReduce Pig Hive Flume Oozie Sqoop HDFS ZooKeeper Cascading Cascalog BigTable Cassandra HBase Hypertable Couchbase CouchDB MongoDB OrientDB RavenDB Jackrabbit Terrastore Amazon DynamoDB Redis Riak Project Voldemort Tokyo Cabinet Kyoto Cabinet memcached Amazon SimpleDB Datomic MemcacheDB M/DB GT.M Amazon Dynamo Dynomite Mnesia Yahoo! PNUTS/Sherpa Neo4j InfoGrid Sones GraphDB InfiniteGraph AllegroGraph MarkLogic Clustrix CouchDB Case Studies MongoDB Case Studies NoSQL at Adobe NoSQL at Facebook NoSQL at Twitter

NAVIGATE MAIN CATEGORIES

Close

Riak Map/Reduce Queries in Clojure

Over this week I’ve been working on a proof of concept to see if it’s possible to use Clojure as the map/reduce language for Riak, in the same way now we can use Javascript and Erlang for that purpose. To accomplish that I needed a way to call Clojure code from Erlang. So I set up a very simple server in Clojure that runs as an Erlang node using Closerl.

Theoretically nice… practically I’d say there is a fundamental problem with this idea (different than the ones listed in the article). Map and reduce functions are supposed to run on the nodes hosting the data[1]. If you need to wire this data is like implementing mapreduce on your application so the data locality property is lost. Not to mention that adding another variable to the equation (the JVM) your distributed system will become more sensible to failures.


  1. As mentioned in this question about Riak MapReduce, currently Riak runs only the map functions on all nodes, while reduce function is run on the node receiving the request.  ()

Original title and link for this post: Riak Map/Reduce Queries in Clojure (published on the NoSQL blog: myNoSQL)

via: http://videlalvaro.github.com/2010/08/riak-map-reduce-queries-in-clojure.html