Apache Toree is a (Scala/Spark) kernel for the Jupyter Notebook platform providing interactive and remote access to Apache Spark.
The Apache Toree community is pleased to announce the release of Apache Toree 0.2.0-incubating which provides various bug fixes and the following enhancements.
* Support Apache Spark 2.x codebase including Spark 2.2.2
* Enable Toree to run in Yarn cluster mode
* Create spark context lazily to avoid long startup times for the kernel
* Properly cleanup of temporary files/directories upon kernel shutdown
* %AddJAR now supports HDFS file format
* %AddDEP now defaults to default configuration
* Cell Interrupt now cancel running Spark jobs and works in background processes
* Support configurable alternative interrupt signal via --alternate-sigint command line
* Interpreters now have the ability to send results other than text/plain
For more information about Apache Toree and go download the latest release go to: