DB Row Sampling

This node extracts a sample from the input data. The dialog enables you to specify the sample size and the sampling strategy.

Options

Absolute: Specify the absolute number of rows in the sample. If there are less rows than specified here, all rows are used.
Relative: The percentage of the number of rows in the database table to extract. Must be between 0 and 100, inclusively.
Take from top: This mode selects the top most rows of the table. Note that the order of the rows depends on the connected database.
Draw randomly: Sample rows in random order if the connected database supports random sampling. Note that this method might be very slow for large database tables.
Stratified sampling: Check this button if you want stratified sampling, i.e. the distribution of values in the selected column is (approximately) retained in the output table.
Random seed: If either random or stratified sampling is selected, you may enter a fixed seed in order to get reproducible results upon re-execution. This option is disabled if the database does not support a seed per query execution. Depending on the database a new random seed might be taken for each execution if not specified.

This node has no views

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.

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

v5.4

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

Plugin provider: KNIME AG, Zurich, Switzerland

Plugin version: 5.4.0.v202410281607

On NodePit since: 2024-12-06

Last update: 2024-12-21

KNIME versions: Since v3.7

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