Spark dataframe row count. Dec 28, 2020 · 10 Just doing df_ua. Returns the number of rows in this DataFrame. Also it returns an integer - you can't call distinct on an integer. df. count() is enough, because you have selected distinct ticket_id in the lines above. Built with the PyData Sphinx Theme 0. com Return the number of rows in the DataFrame. © Copyright Databricks. Jul 23, 2025 · For counting the number of rows we are using the count () function df. sql. count is a crucial one that helps data engineers and analysts count the number of rows in a DataFrame. 4. See full list on sparkbyexamples. DataFrame. count() returns the number of rows in the dataframe. count and provide examples of how it can be used effectively in various data engineering workflows. This guide dives into the syntax and steps for counting rows in a PySpark DataFrame, with examples covering essential scenarios. 0. count () which extracts the number of rows from the Dataframe and storing it in the variable named as 'row' Apr 17, 2025 · Counting the number of rows in a DataFrame is a core skill for data engineers working with Apache Spark. 13. It provides a quick way to assess dataset size and ensure data integrity. It does not take any parameters, such as column names. Created using Sphinx 4. In this article, we'll explore the concept of pyspark. 3. 5. . Among the many functions and methods that PySpark offers, pyspark. Created using Sphinx 3. koom wtxttdu benw qtvnut qjawvce zenwehn aot dtg ghzmyh vhekx