Optimus is the missing library for cleansing (cleaning and much more) and pre-processing data in a distributed fashion with Apache Spark.
@ironmussa / (2)
Optimus is the missing library for cleansing and pre-processing data in a distributed fashion. It uses all the power of Apache Spark (optimized via Catalyst) to do it. It implements several handy tools for data wrangling and munging that will make your life much easier. The first obvious advantage over any other public data cleaning library is that it will work on your laptop or your big cluster, and second, it is amazingly easy to install, use and understand.
Include this package in your Spark Applications using:
spark-shell, pyspark, or spark-submit
> $SPARK_HOME/bin/spark-shell --packages ironmussa:Optimus:1.1.0
If you use the sbt-spark-package plugin, in your sbt build file, add:
spDependencies += "ironmussa/Optimus:1.1.0"
resolvers += "Spark Packages Repo" at "https://repos.spark-packages.org/" libraryDependencies += "ironmussa" % "Optimus" % "1.1.0"
MavenIn your pom.xml, add:
<dependencies> <!-- list of dependencies --> <dependency> <groupId>ironmussa</groupId> <artifactId>Optimus</artifactId> <version>1.1.0</version> </dependency> </dependencies> <repositories> <!-- list of other repositories --> <repository> <id>SparkPackagesRepo</id> <url>https://repos.spark-packages.org/</url> </repository> </repositories>