This node is currently not available in KNIME v5.3 — instead we’re showing this page for KNIME v4.2. 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 Parquet

Converts an incoming Spark DataFrame/RDD into a parquet file.

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

Popular Predecessors

Popular Successors

Views

This node has no views

Workflows

Developers

You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.

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:

v4.2

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

Plugin provider: KNIME AG, Zurich, Switzerland

Plugin version: 4.2.0.v202008241922

On NodePit since: 2020-07-15

Last update: 2024-11-12

KNIME versions: From v3.6 to v4.2

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!