Hi Spark users, We (Zeppelin community) are very excited to announce Apache Zeppelin notebook 0.10.0 is officially released. Here’s the main features of Spark on Zeppelin:
- Support multiple versions of Spark - You can run different versions of Spark in one Zeppelin instance - Support multiple versions of Scala - You can run different Scala versions (2.10/2.11/2.12) of Spark in on Zeppelin instance - Support multiple languages - Scala, SQL, Python, R are supported, besides that you can also collaborate across languages, e.g. you can write Scala UDF and use it in PySpark - Support multiple execution modes - Local | Standalone | Yarn | K8s - Interactive development - Interactive development user experience increase your productivity - Inline Visualization - You can visualize Spark Dataset/DataFrame vis Python/R’s plotting libraries, and even you can make SparkR Shiny app in Zeppelin - Multi-tenancy - Multiple user can work in one Zeppelin instance without affecting each other. - Rest API Support - You can not only submit Spark job via Zeppelin notebook UI, but also can do that via its rest api (You can use Zeppelin as Spark job server). And the easiest way to try Zeppelin is via docker container, check out this link for how to use Spark in Zeppelin docker container. https://zeppelin.apache.org/docs/0.10.0/interpreter/spark.html#play-spark-in-zeppelin-docker Spark on Zeppelin doc: https://zeppelin.apache.org/docs/0.10.0/interpreter/spark.html Download it here: https://zeppelin.apache.org/download.html -- Best Regards Jeff Zhang Twitter: zjffdu
