Tag Archives: CouchDB

Install And Use CouchDB With JSON And Map-Reduce

Posted by Peter on August 14, 2010 None comments

CouchDB is another offspring from the open-source, NoSQL, non-relational databases and is maintained under the Apache Foundation. It differs itself form the likes of MongoDB or Cassandra in that CouchDB is storing data in so called “documents” that are in JSON format, which can be hashes, lists, nested arrays and of course scalar values. This added complexity results in more powerful features, mainly to have a db that is not just a single key/value pair, but it comes at a price of speed reduction.

CouchDB can be a little bit of a pain to install, because it needs a few pre-requisites and they in turn have a few of their own quirks. This outline should help you get CouchDB with all it’s necessities installed. We’ve used MacOS, but you can substitute your OS where applicable.

The CouchDB source code and installer packages are downloadable here. As of this writing, version 0.11.2 is the latest stable version, with 1.0.1 just around the corner. You will also need Spider Monkey, Mozilla’s C implementation of JavaScript.

Installing SpiderMonkey

Once downloaded, extract the tarball and move into the sources folder:

tar -xzvf js-1.8.0-rc1.tar.gz

cd js/src

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Redis High Speed Storage Or Cache System

Posted by Peter on August 11, 2010 None comments

NoSQL databases are the hype, with MongoBD and CouchDB on the forefront, while Memcache has found a place in many high load web applications during the past few years. Each of these applications has their own, very specific characteristic. MongoDB finds its usage where single key-value pairs are not sufficient, but adds a slight overhead and complexity with its hash table like multi field storage architecture. CouchDB is an ideal candidate where single key-value pair storage engine is sufficient.

And there is Redis, the new kid on the block. Redis is a high speed storage or cache system, much like Memcache on steroids. Redis writes data into memory, which makes it really fast. And in contrast to Memcache, it writes data periodically to disk depending on the amount of data that has changed. Redis is been said to be able to handle in excess of 10’000 reads/writes per second! Read more »