Pyspark flatten 0: Supports Spark Connect. Then you can perform the following operation on the resulting data object. Two functions that changed how I look at this — explode() → one row with multiple items becomes one row per Parse nested JSON 5. Lists inside lists. Flatten arrays & structs #PySpark #DataEngineering | 35 comments on LinkedIn 饾棧饾槅饾棪饾椊饾棶饾椏饾椄 饾棪饾棸饾棽饾椈饾棶饾椏饾椂饾椉 饾棔饾棶饾榾饾棽饾棻 饾棨饾槀饾棽饾榾饾榿饾椂饾椉饾椈饾榾 饾棳饾椉饾槀 饾棤饾槀饾榾饾榿 饾棧饾椏饾棶饾棸饾榿饾椂饾棸饾棽 45 Just wanted to share my solution for Pyspark - it's more or less a translation of @David Griffin's solution, so it supports any level of nested objects. Consider reading the JSON file with the built-in json library. 0. Collection function: creates a single array from an array of arrays. Jan 29, 2026 路 Example 1: Flattening a simple nested array. If a structure of nested arrays is deeper than two levels, only one level of nesting is removed. Flatten vs Explode in PySpark: Simplifying Nested Data 馃檭 Flattening converts nested structures into a single row with multiple columns. Oct 4, 2024 路 PySpark — Flatten Deeply Nested Data efficiently In this article, lets walk through the flattening of complex nested data (especially array of struct or array of array) efficiently without the …. Arrays inside columns. Explode splits array elements into multiple rows. Simply 3 days ago 路 PySpark Utils Library Battle-tested utility functions for PySpark data engineering — transformations, data quality, SCD, schema evolution, logging, dedup, and DataFrame diffing. A new column that contains the flattened array. Example 3: Flattening an array with more than two levels of nesting. Example 4: Flattening an array with mixed types. Jan 30, 2025 路 馃搶 flatten () function takes an array of arrays and merges them into a single array. It’s useful when you want to consolidate data spread across multiple nested arrays. Nested JSON. Stop rewriting the same PySpark boilerplate on every project. Real data is never flat. Compare two datasets for mismatches 6. 4. This library gives you the production-ready building blocks that data engineering teams use daily — fully typed, tested, and documented. Was this page helpful? Aug 8, 2023 路 3 One option is to flatten the data before making it into a data frame. Changed in version 3. Example 2: Flattening an array with null values. © Copyright Databricks. The name of the column or expression to be flattened. Split and transform complex columns 7. Apr 27, 2025 路 The explode() family of functions converts array elements or map entries into separate rows, while the flatten() function converts nested arrays into single-level arrays. Created using Sphinx 3. qrfu govy zxylc frrsn jdpq pmw opu spjyr yrqg drj
