KNIME Extension for Apache Spark core infrastructure version 4.3.3.v202104211345 by KNIME AG, Zurich, Switzerland
This node allows you to execute Python code on Spark (See PySpark documentation). The code has to put the desired output in the data frame with the name resultDataFrame1
Enter your Python code here.
The SparkSession can be accessed via the global variable spark. The input Dataset<Row> can be accessed via the method input parameter dataFrame1 and dataFrame2. The output Dataset<Row> must be called resultDataFrame1.
The editor optionally provides autocompletion (CTRL + Space) using the local Python installation,
if the KNIME Python Extension and the Python module jedi is installed.
The path to the Python executable has to be configured in Preferences → KNIME → Python.
Note: The completion suggestions are made based on the local Python environment, which may differ from the Python setup in the cluster!
To use this node in KNIME, install KNIME Extension for Apache Spark from the following update site:
A zipped version of the software site can be downloaded here.
You don't know what to do with this link? Read our NodePit Product and Node Installation Guide that explains you in detail how to install nodes to your KNIME Analytics Platform.
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