Managing Delta Lake tables

To apply table constraints, clone tables, and alter columns in Delta Lake, you need to have a basic understanding of Delta Lake and its features. In this recipe, we will walk you through the process of applying table constraints, cloning tables, and altering columns using Delta Lake. We will use Python as the programming language for the code examples.

How to do it...

1. Import the required libraries: Start by importing the necessary libraries for working with Delta Lake. In this case, we need the delta module and the SparkSession class from the pyspark.sql module:

   from delta import configure_spark_with_delta_pip, DeltaTable

   from pyspark.sql import SparkSession

2. Create a SparkSession: To interact with Spark and Delta Lake, you need to create a SparkSession object:

   builder = (SparkSession.builder

                  .appName("optimize-delta-table")

       ...