HWC integration with pyspark, sparklyr, and Zeppelin Submitting a Python appA step-by-step procedure shows you how to submit a Python app based on the HiveWarehouseConnector library by submitting an application, and then adding a Python package.Reading and writing Hive tables in RThe Hive Warehouse Connector (HWC) supports reads and writes to Apache Hive managed ACID tables in R. Cloudera provides an R package SparklyrHWC that includes all HWC methods, such as execute and executeQuery, and a spark_write_table method to write to managed tables. The native sparklyr spark_write_table method supports writes to external tables only.Livy interpreter configurationYou can use the Hive Warehouse Connector in Zeppelin notebooks with the Livy interpreter by modifying or adding properties to your livy interpreter settings. The Livy interpreter accesses processing engines and data sources from the Zeppelin UI.Reading and writing Hive tables in ZeppelinYou can read and write Hive ACID tables from a Spark application using Zeppelin, a browser-based GUI for interactive data exploration, modeling, and visualization. Parent topic: Introduction to HWC
