This node is currently not available in KNIME v5.3 — instead we’re showing this page for KNIME v3.7. You can use the version menu in the title bar to permanently switch your preferred version. This will also show the link to the update site.

Spark to Hive

Converts an incoming Spark DataFrame/RDD into a Hive table

Notice: On clusters with Hortonworks HDP 3.x, this node requires Hive Warehouse Connector to be part of the Spark classpath and correctly configured. Please consult the HDP documentation.

Options

Table name: The name of the table to create
Drop existing table: Select this option to drop an existing table
File Format: Choose the file format in which to store the table. Default is ORC.
Compression: Choose the compression codec for the file format.

Input Ports

: JDBC connection
: Spark DataFrame/RDD

Output Ports

: Hive table query

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Installation

To use this node in KNIME, install the extension KNIME Extension for Apache Spark from the below update site following our NodePit Product and Node Installation Guide:

v3.7

A zipped version of the software site can be downloaded here.

Plugin provider: KNIME AG, Zurich, Switzerland

Plugin version: 2.4.0.v201811301556

On NodePit since: 2018-08-10

Last update: 2024-10-31

KNIME versions: From v3.6 to v3.7

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