Scalding is a Scala library that makes it easy to write MapReduce jobs in Hadoop. It's similar to other MapReduce platforms like Pig and Hive, but offers a higher level of abstraction by leveraging the full power of Scala and the JVM.

Scalding is built on top of Cascading, a Java library that abstracts away much of the complexity of Hadoop (such as the need to write raw map and reduce functions).

Need a suggestion for where to start? Try the Alice in Wonderland walkthrough which shows how to use Scalding step by step to learn about the book's text.

• Scalding Google Group.
• @Scalding on Twitter
• Scalding Gitter
• Frequently Asked Questions

• Scaladocs: Generated documentation for current version of Scalding.
• Note: sbt doc will build scaladocs under the target/2.9.2/api/ directory, which you can then open in your browser.
• Tutorials
  • Beginner
    • Getting Started
    • Scalding REPL: Learning is better when it's interactive. This tutorial shows off how to interact with your data using the Scalding REPL.
    • Alice in Wonderland walkthrough: Step-by-step example of using Scalding in Local mode in the REPL.
    • Intro to Scalding Jobs
  • Intermediate
    • Aggregation using Algebird Aggregators. Continuing the SQL analogy, we see how to use composable Aggregators.
    • SQL to Scalding. Canonical ways of translating common SQL idioms to Scalding.
  • Advanced
    • Building Bigger Platforms With Scalding some approaches for modular design and composing with scalding.
    • Getting Started with the Matrix library
• Reference/Other
  • Type-safe API Reference. This API is very close to the scala collections API.
  • REPL Reference
  • Automatic Orderings, Monoids and Arbitraries: using macros to automatically generate needed Ordering, Moniod, Semigroup or Arbitrary instances for case classes and scala collections.
  • Matrix-API-Reference
  • Scalding Sources
  • Scalding-Commons. The README of the former scalding-commons library.
  • Rosetta Code. A collection of MapReduce tasks translated (from Pig, Hive, Cascalog, MapReduce Streaming, etc.) into Scalding.
  • Oscar's Scalding Talk at the Hadoop Summit. Slides from Oscar's talk at the Hadoop Summit.
  • Upgrading to 0.9.0 means fixing some compile issues. These sed rules may help.
  • DEPRECATED: Fields-based API Reference. This is the original, Cascading DSL API to scalding using a named tuple model. We highly recommend the Type-safe API, using TypedPipe, for any new code. This page also contains many example code snippets illustrating each Scalding function. See Field Rules for more on Fields.

• Scalding-cassandra support for reading/writing cassandra
• [Spy Glass] (https://github.com/ParallelAI/SpyGlass) - Advanced featured HBase wrapper for Cascading and Scalding

• Scalding: Powerful & Concise MapReduce Programming
• Scalding lecture for UC Berkeley's Analyzing Big Data with Twitter class

• Scalding with CDH3U2 in a Maven project
• Running your Scalding jobs in Eclipse
• Run/Test jobs locally from Intellij IDEA
• Running your Scalding jobs in IDEA intellij
• Running Scalding jobs on EMR
• Running Scalding with HBase support: Scalding HBase wiki
• Using the distributed cache
• Calling Scalding from inside your application
• Unit Testing Scalding Jobs
• Using counters

NOTE: all of the following tutorials use the Fields API, which is deprecated

• Scalding for the impatient great set of tutorials on using scalding walking through simple to more complex examples (including TF-IDF).
• Movie Recommendations and more in MapReduce and Scalding
• Generating Recommendations with MapReduce and Scalding, a shorter version of the above post.
• Poker collusion detection with Mahout and Scalding
• Portfolio Management in Scalding
• Find the Fastest Growing County in US, 1969-2011, using Scalding
• Dean Wampler's Scalding Workshop. Presented by Dean at StrangeLoop 2012.
• Typesafe's Activator for Scalding. Also created by Dean Wampler.

• Hive, Pig, Scalding, Scoobi, Scrunch and Spark: A Comparison of Hadoop Frameworks
• Why Hadoop MapReduce needs Scala
• How Twitter is doing its part to democratize big data
• Meet the combo powering Hadoop at Etsy, Airbnb and Climate Corp.
• Scalding wins a Bossie award from InfoWorld
• Scalding: Hadoop Word Count in LESS than 70 lines of code

• Using Scalding with other versions of Scala
• Scala and sbt for Homebrew users
• Scala and sbt for MacPorts users
• Comparison to Scrunch and Scoobi
• Powered-By see who is using scalding in production.

• scald.rb
• Reading/Writing Source and Sink Taps
• Scalding on Amazon Elastic MapReduce
• Brief Introduction to Cascading