RandomParagraph

The RandomParagraph transformer is crafted to populate specified database columns with random paragraphs. This utility is indispensable for applications that require the generation of extensive textual content, such as simulating articles, enhancing textual datasets for NLP systems, or anonymizing textual content in databases.

Parameters

Name	Description	Default	Required	Supported DB types
column	The name of the column to be affected		Yes	text, varchar, char, bpchar, citext
keep_null	Indicates whether NULL values should be preserved	false	No	-

Description

Employing sophisticated text generation algorithms or libraries, the RandomParagraph transformer generates random paragraphs, injecting them into the designated database column. This transformer is designed to create varied and plausible paragraphs that simulate real-world textual content, providing a valuable tool for database enrichment, testing, and anonymization.

Example: Populate random paragraphs for the articles table

This example illustrates configuring the RandomParagraph transformer to populate the body column in an articles table with random paragraphs. It is an effective way to simulate diverse article content for development, testing, or demonstration purposes.

RandomParagraph transformer example

- schema: "public"
  name: "articles"
  transformers:
    - name: "RandomParagraph"
      params:
        column: "body"
        keep_null: false

With this setup, the body column will receive random paragraphs for each entry, replacing any existing non-NULL values. Setting the keep_null parameter to true allows for the preservation of existing NULL values within the column, maintaining the integrity of records where article content is not applicable or provided.