Explode multiple columns spark sql. Unless specified otherwise, uses the default column name col for elements of the array or key and value for the elements of the map. Syntax: [ database_name. AnalysisException: Only one generator allowed per select clause but found 2: explode(_2), explode(_3) This tutorial will explain multiple workarounds to flatten (explode) 2 or more array columns in Pyspark. Feb 28, 2026 · Here, LATERAL VIEW allows you to explode multiple arrays/maps side by side, while preserving the original row context. The explode function in Spark DataFrames transforms columns containing arrays or maps into multiple rows, generating one row per element while duplicating the other columns in the DataFrame. Showing example with 3 columns for the sake of simplic pyspark. It is better to explode them separately and take distinct values each time. functions. Basically I have data that looks like: Jun 28, 2018 · When Exploding multiple columns, the above solution comes in handy only when the length of array is same, but if they are not. It is part of the pyspark. Explode multiple columns into separate rows in Spark Scala I have a DF in the following structure I want the resultant dataset to be of the following type: Please suggest me how to approach this. Apr 24, 2024 · In this article, I will explain how to explode array or list and map DataFrame columns to rows using different Spark explode functions (explode, Dec 29, 2023 · We’ve got this column packed with information, neatly tucked away in an array-like structure. explode_outer (expr) - Separates the elements of array expr into multiple rows, or the elements of map expr into multiple rows and columns. Jan 26, 2026 · explode Returns a new row for each element in the given array or map. Uses the default column name col for elements in the array and key and value for elements in the map unless specified otherwise. Using explode, we will get a new row for each element in the array. I have tried explode , but that results in duplicate rows. explode(col) [source] # Returns a new row for each element in the given array or map. Nov 25, 2025 · In this article, you have learned how to explode or convert array or map DataFrame columns to rows using explode and posexplode PySpark SQL functions and their’s respective outer functions and also learned differences between these functions using Python example. Error: pyspark. ] function_name Examples 🚀 Data Engineering Interview Series – Day 1 Topic: split() and explode() in PySpark In real-world data engineering projects, we often receive semi-structured data where multiple values are Run Spark SQL Query spark. functions import explode df. explode # pyspark. Examples "Pyspark explode multiple columns example" Description: This query seeks examples of how to use the explode function in PySpark to explode multiple columns in a DataFrame, typically used for arrays or maps. Now, imagine this: we’re going to unpack that data using a cool trick called the explode() function!. If function_name is qualified with a database then the function is resolved from the user specified database, otherwise it is resolved from the current database. sql. Summary Data Splitting and JSON Shredding are foundational skills for the DP-203 exam. Sep 8, 2020 · How can we explode multiple array column in Spark? I have a dataframe with 5 stringified array columns and I want to explode on all 5 columns. sql ("SELECT * FROM employees") 🔹 19. The function name may be optionally qualified with a database name. This way, you can explode multiple columns and combine them into a single DataFrame using PySpark's functions and operations. Jul 23, 2025 · Split Multiple Array Columns into Rows To split multiple array column data into rows Pyspark provides a function called explode (). res1 Parameters function_name Specifies a name of an existing function in the system. Explode Array Column from pyspark. They involve transforming nested, semi-structured JSON data into flat, relational formats using tools like OPENJSON and CROSS APPLY in T-SQL, explode () in Spark, Flatten in ADF, and GetArrayElements in Stream Analytics. functions module and is commonly used when dealing with nested structures like arrays, JSON, or structs. utils. Jul 29, 2017 · There was a question regarding this issue here: Explode (transpose?) multiple columns in Spark SQL table Suppose that we have extra columns as below: **userId someString varA varB 33 I am using Spark SQL (I mention that it is in Spark in case that affects the SQL syntax - I'm not familiar enough to be sure yet) and I have a table that I am trying to re-structure, but I'm getting stuck trying to transpose multiple columns at the same time. Oct 13, 2025 · In PySpark, the explode() function is used to explode an array or a map column into multiple rows, meaning one row per element. select (explode ("skills")) 🔹 20. lqz lnlhz qvzfz hqn gax geftyjru zvg epqngx dfyj crf