WebMay 10, 2024 · For pyspark I use chispa and it’s assert_df_equality function; These assertion functions are usually just a combination of multiple assert statements about each of the relevant properties of the object, and tend to provide some customisation on what is being tested through the passed arguments, so be sure to have a read of the … WebThe test uses the assert_df_equality function defined in the chispa library. Here's your code and the test in a GitHub repo. pytest is generally preferred in the Python community over unittest.
Writing good unit tests in Python with ease — Part 2
WebIf you use Poetry, add this library as a development dependency with poetry add chispa -G dev. Column equality. Suppose you have a function that removes the non-word characters in a string. def remove_non_word_characters(col): return F.regexp_replace(col, "[^\\w\\s]+", "") ... assert_df_equality(df1, df2, ignore_column_order=True) WebA tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. earring by amy
Creating and reusing the SparkSession with PySpark
WebIf you use Poetry, add this library as a development dependency with poetry add chispa -G dev. Column equality. Suppose you have a function that removes the non-word … Webfrom pyspark. sql import SparkSession spark = ( SparkSession. builder . master ( "local" ) . appName ( "chispa" ) . getOrCreate ()) Create a DataFrame with a column that contains … ignore_column_order param for assert_approx_df_equality function … Add allow_nan_equality option to assert_approx_df_equality #29 opened … Write better code with AI Code review. Manage code changes Packages. Host and manage packages GitHub is where people build software. More than 94 million people use GitHub … GitHub is where people build software. More than 94 million people use GitHub … No suggested jump to results WebJun 19, 2024 · Here’s an example of how to create a SparkSession with the builder: from pyspark.sql import SparkSession. spark = (SparkSession.builder. .master("local") .appName("chispa") .getOrCreate()) getOrCreate will either create the SparkSession if one does not already exist or reuse an existing SparkSession. Let’s look at a code snippet … ctarch