https://github.com/adinapoli/achilles

The new Cassandra's Java Driver killed Hector
https://github.com/adinapoli/achilles

Last synced: 23 days ago
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The new Cassandra's Java Driver killed Hector

• Host: GitHub
• URL: https://github.com/adinapoli/achilles
• Owner: adinapoli
• Created: 2013-06-17T15:50:03.000Z (over 11 years ago)
• Default Branch: master
• Last Pushed: 2013-06-19T16:21:40.000Z (over 11 years ago)
• Last Synced: 2023-03-11T21:07:29.319Z (over 1 year ago)
• Language: Scala
• Size: 164 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        

This is a toy playground to experiment with the newly-released

Datastax drivers for Cassandra, targeting versions >= 1.2 and

using CQL3 and the new transport layer (Thrift was dropped):

* http://www.datastax.com/dev/blog/new-datastax-drivers-a-new-face-for-cassandra

* https://github.com/datastax/java-driver

* [DOCS](http://www.datastax.com/doc-source/developer/java-driver/)

* [API](http://www.datastax.com/drivers/java/apidocs/)

## Using the new driver

In your sbt project:

```

  "com.datastax.cassandra"  % "cassandra-driver-core" % "1.0.0"

```

## Streaming interface

The streaming interfaces live inside [here](https://github.com/adinapoli/achilles/blob/master/src/main/scala/org/cakesolutions/achilles/pipes.scala)

and it consist of modular trait divided by semantic cohesion. During your

programming woes though, all you need to mixin in the trait ```CassandraPipes```

with conveniently brings in scope everything you need.

### Why a streaming interface?

Benefits of Iteratees-like streaming systems are well known in literature. These

are the mandatory readings:

* [Oleg's paper about Iteratees](http://okmij.org/ftp/Haskell/Iteratee/describe.pdf)

* [Learning Scalaz: Day 17](http://eed3si9n.com/node/123)

In a nutshell, iteratees gives you more control over the resource allocation/disposal,

are easily composable and usually yield to more concise and composable code.

## Using the library

Using the trait is nothing difficult, if you have already a working knowledge

of Iteratees. If you have not, here is a crash course. Conceptually, there are

three entities you should be aware of:

* Emumerators, object which describe how, given a resource ``R``, this resource

  should be enumerated.

* Iteratees, entities where the computation actually happens.

* Enumeratees, which are commonly defined as "stream adapter": they transforms

  the underlying enumerators (more example later!)

There are then other types on top of that, but let's ignore them for now.

[IterateesSpec](https://github.com/adinapoli/achilles/blob/master/src/test/scala/org/cakesolutions/achilles/IterateesSpec.scala)

gives you a glimpse about the experimental streaming interface using aforementioned

Scalaz's [iteratee](https://github.com/scalaz/scalaz/tree/scalaz-seven/iteratee/src/main/scala/scalaz/iteratee)