Spark Row Filter

This node allows rows to be filtered from the input Spark DataFrame/RDD by adding and grouping conditions. Rows that match the conditions are included in the output DataFrame/RDD.

This node requires at least Apache Spark 2.0.

Options

Preview: This list contains the conditions and groups.
Add Condition: Add condition to the list. If a logical operator is selected it will be added to that, if a condition is selected it will be added to the parent logical operator. All rows that match the conditions are included in the output DataFame/RDD.
Group: Create a new logical operator and put the selected condition below.
Ungroup: Delete the selected logical operator and put the conditions from it to the parent logical operator.
Delete: Delete the selected element from the list.

Input Ports

: Spark DataFrame/RDD from which rows are to be excluded.

Output Ports

: Spark DataFrame/RDD including rows that match the defined conditions.

Popular Predecessors

Popular Successors

Views

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Workflows

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: 2024-11-15

KNIME versions: Since v3.7

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