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Building bigger platforms with scalding
As of scalding 0.12, we have an API for this around the Execution type. It is described in Calling-Scalding-from-inside-your-application This is the recommended approach because it is type-safe, and allows you to compose multiple Executions together.
We consider the Fields-API to be a legacy API which is in maintenance mode. If you really need to use it in new code be aware that sharing code between jobs in the Fields API is a bit challenging because you have to be careful about what fields you leave in the Pipe and there is little help from the compiler.
Generally you will write functions that take Pipe
s and Fields
and return Pipe
s and Field
s. Any time you are reading or writing data, you will need to take (implicit flow: FlowDef, mode: Mode)
as implicit arguments to your methods. To get the Dsl syntax, you will want to import com.twitter.scalding.Dsl._
in any file or object that has this shared code.
Mention specialized Job examples (CascadeJob for instance).
Just do what you would with cascading:
implicit val mode = Hdfs(new JobConf())
implicit val flowDef = new FlowDef
flowDef.setName(jobName)
val result = myFunctionThatTakesFlowDefAndMode(flowDef, mode)
// Now we have a populated flowDef, time to let Cascading do it's thing:
mode.newFlowConnector(config).connect(flowDef).complete
com.twitter.scalding.Job makes changes to the config passed into the Cascading FlowConnector for scalding to function properly. When using scalding outside of a com.twitter.scalding.Job you need to set these.
val config: Map[AnyRef, AnyRef] = Map(
"io.serializations" -> "org.apache.hadoop.io.serializer.WritableSerialization,cascading.tuple.hadoop.TupleSerialization,com.twitter.chill.hadoop.KryoSerialization",
"com.twitter.chill.config.configuredinstantiator" -> "com.twitter.scalding.serialization.KryoHadoop",
"cascading.flow.tuple.element.comparator" -> "com.twitter.scalding.IntegralComparator")
mode.newFlowConnector(config).connect(flowDef).complete
- Scaladocs
- Getting Started
- Type-safe API Reference
- SQL to Scalding
- Building Bigger Platforms With Scalding
- Scalding Sources
- Scalding-Commons
- Rosetta Code
- Fields-based API Reference (deprecated)
- Scalding: Powerful & Concise MapReduce Programming
- Scalding lecture for UC Berkeley's Analyzing Big Data with Twitter class
- Scalding REPL with Eclipse Scala Worksheets
- Scalding with CDH3U2 in a Maven project
- Running your Scalding jobs in Eclipse
- Running your Scalding jobs in IDEA intellij
- Running Scalding jobs on EMR
- Running Scalding with HBase support: Scalding HBase wiki
- Using the distributed cache
- Unit Testing Scalding Jobs
- TDD for Scalding
- Using counters
- Scalding for the impatient
- Movie Recommendations and more in MapReduce and Scalding
- Generating Recommendations with MapReduce and Scalding
- Poker collusion detection with Mahout and Scalding
- Portfolio Management in Scalding
- Find the Fastest Growing County in US, 1969-2011, using Scalding
- Mod-4 matrix arithmetic with Scalding and Algebird
- Dean Wampler's Scalding Workshop
- Typesafe's Activator for Scalding