spark-instrumented-optimizer/examples/src/main
Patrick Wendell c0f0155eca Merge pull request #313 from tdas/project-refactor
Refactored the streaming project to separate external libraries like Twitter, Kafka, Flume, etc.

At a high level, these are the following changes.

1. All the external code was put in `SPARK_HOME/external/` as separate SBT projects and Maven modules. Their artifact names are `spark-streaming-twitter`, `spark-streaming-kafka`, etc. Both SparkBuild.scala and pom.xml files have been updated. References to external libraries and repositories have been removed from the settings of root and streaming projects/modules.

2. To avail the external functionality (say, creating a Twitter stream), the developer has to `import org.apache.spark.streaming.twitter._` . For Scala API, the developer has to call `TwitterUtils.createStream(streamingContext, ...)`. For the Java API, the developer has to call `TwitterUtils.createStream(javaStreamingContext, ...)`.

3.  Each external project has its own scala and java unit tests. Note the unit tests of each external library use classes of the streaming unit tests (`TestSuiteBase`, `LocalJavaStreamingContext`, etc.). To enable this code sharing among test classes, `dependsOn(streaming % "compile->compile,test->test")` was used in the SparkBuild.scala . In the streaming/pom.xml, an additional `maven-jar-plugin` was necessary to capture this dependency (see comment inside the pom.xml for more information).

4. Jars of the external projects have been added to examples project but not to the assembly project.

5. In some files, imports have been rearrange to conform to the Spark coding guidelines.
2014-01-07 22:21:52 -08:00
..
java/org/apache/spark Merge pull request #313 from tdas/project-refactor 2014-01-07 22:21:52 -08:00
scala/org/apache/spark Merge pull request #313 from tdas/project-refactor 2014-01-07 22:21:52 -08:00