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What's New in RapidMiner Radoop 8.0.0?

Released: December 04th, 2017

The following improvements are part of RapidMiner Radoop 8.0.0.


  • New K-Means operator is available that is based on the Spark MLlib/ML clustering algorithm
  • Hive access in Spark Script is now supported (HiveContext in Spark 1.x and SparkSession in Spark 2.x), if the user has the appropriate privileges on the cluster
  • Added Spark 2.2 support (new option in the Spark Version list)
  • Aggregate now support concatenation option as well
  • Hive (JDBC) connection error now displays more information
  • Import from Manager Icon Import from Cluster Manager is now the default option to create a Radoop connection
  • K-Means, Fuzzy K-Means and Canopy Mahout clustering operators are now deprecated
  • Mahout test is now deprecated
  • Replace missing quick fix is now offered if there are known missing values in the input of an operator that does not handle them

Bug fixes

  • BUGFIX: Installation of an Apache Spark release is no longer needed for more recent Cloudera Hadoop releases in order for Spark jobs to work (and not give an Unknown/unsupported param error). Use the new Spark 1.6 (CDH) Spark version connection setting in this case.
  • BUGFIX: K-Means model apply inside Radoop Nest no longer fails with ClassNotFoundException or NoClassDefFoundError
  • BUGFIX: Fixed Cannot initialize Cluster error when a certain failover proxy provider class is used on the cluster (org.apache.hadoop.yarn.client.RequestHedgingRMFailoverProxyProvider) and the connection is imported
  • BUGFIX: Spark Script with R no longer relies on the private RDD API in Spark 2.x
  • BUGFIX: Quick fix that adds a Type Conversion operator now selects the proper target type