Spark to ORC

This Node Is Deprecated — This version of the node has been replaced with a new and improved version. The old version is kept for backwards-compatibility, but for all new workflows we suggest to use the version linked below.

Converts an incoming Spark DataFrame/RDD into a ORC table.

Notice: This feature requires at least Apache Spark 1.5.

Options

Save mode: How to handle existing data.
Partitions: Overwrite default partition count. This can be useful to reduce output file count to e.g. one file.
Warning: This might result in serious performance issues on huge data sets. Use with caution!
See Spark documentation for more informations.

Input Ports

: Spark compatible connection (HDFS, WebHDFS, HttpFS, S3, Blob Storage, ...)
: Spark DataFrame/RDD

Output Ports

This node has no output ports

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Developers

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Installation

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

v5.3

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

Plugin provider: KNIME AG, Zurich, Switzerland

Plugin version: 5.3.0.v202406141453

On NodePit since: 2024-07-09

Last update: 2024-11-21

Tags: Deprecated

KNIME versions: Since v4.3

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