spark-druid-olap (homepage)

Spark Druid Package

Spark-Druid package enables'Logical Plans' written against a raw event dataset
to be rewritten to take advantage of a Drud Index of the Event data. It
comprises of a 'Druid DataSource' that wraps the 'raw event dataset', and a
'Druid Planner' that contains a set of Rewrite Rules to convert
'Project-Filter-Aggregation-Having-Sort-Limit' plans to Druid Index Rest calls.


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How to

Include this package in your Spark Applications using:

spark-shell, pyspark, or spark-submit

> $SPARK_HOME/bin/spark-shell --packages SparklineData:spark-druid-olap:0.1.0

sbt

If you use the sbt-spark-package plugin, in your sbt build file, add:

spDependencies += "SparklineData/spark-druid-olap:0.1.0"

Otherwise,

resolvers += "Spark Packages Repo" at "http://dl.bintray.com/spark-packages/maven"

libraryDependencies += "SparklineData" % "spark-druid-olap" % "0.1.0"

Maven

In your pom.xml, add:
<dependencies>
  <!-- list of dependencies -->
  <dependency>
    <groupId>SparklineData</groupId>
    <artifactId>spark-druid-olap</artifactId>
    <version>0.1.0</version>
  </dependency>
</dependencies>
<repositories>
  <!-- list of other repositories -->
  <repository>
    <id>SparkPackagesRepo</id>
    <url>http://dl.bintray.com/spark-packages/maven</url>
  </repository>
</repositories>

Releases

Version: 0.1.0 ( 01b42d | zip | jar ) / Date: 2016-06-03 / License: Apache-2.0 / Scala version: 2.10

Version: 0.0.4 ( bc07d2 | zip | jar ) / Date: 2016-03-17 / License: Apache-2.0 / Scala version: 2.10

Version: 0.0.3 ( 8621e2 | zip | jar ) / Date: 2016-01-25 / License: Apache-2.0 / Scala version: 2.10

Spark Scala/Java API compatibility: - 88% , - 100%

Version: 0.0.2 ( 7f9f4b | zip | jar ) / Date: 2016-01-13 / License: Apache-2.0 / Scala version: 2.10

Spark Scala/Java API compatibility: - 10% , - 100% , - 60% , - 33% , - 89% , - 38%

Version: 0.0.1 ( c7eee5 | zip | jar ) / Date: 2015-09-01 / License: Apache-2.0 / Scala version: 2.10

Spark Scala/Java API compatibility: - 10% , - 66% , - 34% , - 100% , - 40%