Online SQL to PySpark Converter

upload icon Click to select or drop your input code file here.

You can also type the input code below.

How to use this tool?

This free online converter lets you convert code from SQL to PySpark in a click of a button. To use this converter, take the following steps -

Type or paste your SQL code in the input box.
Click the convert button.
The resulting PySpark code from the conversion will be displayed in the output box.

Examples

The following are examples of code conversion from SQL to PySpark using this converter. Note that you may not always get the same code since it is generated by an AI language model which is not 100% deterministic and gets updated from time to time.

Example 1 - Is String Palindrome

Program that checks if a string is a palindrome or not.

SQL

PySpark

Example 2 - Even or Odd

A well commented function to check if a number if odd or even.

SQL

PySpark

Key differences between SQL and PySpark

Characteristic	SQL	PySpark
Syntax	Declarative syntax focused on data retrieval and manipulation.	Python-based API with a mix of functional and imperative programming styles.
Paradigm	Relational database management system (RDBMS) paradigm.	Distributed data processing paradigm using Resilient Distributed Datasets (RDDs) and DataFrames.
Typing	Strongly typed with predefined data types for columns.	Dynamic typing with support for various data types, but can also enforce schema.
Performance	Optimized for single-node performance and can struggle with large datasets.	Designed for distributed computing, scales well with large datasets across clusters.
Libraries and frameworks	Standardized language with various implementations (e.g., MySQL, PostgreSQL).	Part of the Apache Spark ecosystem, integrates with various libraries for machine learning and data processing.
Community and support	Large community with extensive documentation and resources.	Growing community with strong support from the Apache Foundation and integration with big data tools.
Learning curve	Relatively easy to learn for basic queries, but complex for advanced features.	Steeper learning curve due to the need to understand distributed computing concepts.

Online SQL to PySpark Converter

How to use this tool?

Examples

Key differences between SQL and PySpark

Try our ready to use converters using the links below