Reading a Delta Lake table

Reading tables in Delta Lake is a common task in data processing and analysis. Delta Lake provides ACID transactional capabilities and schema enforcement, making it a powerful data storage solution for big data workloads. In this hands-on recipe, we will explore how to read a table in Delta Lake using Python.

How to do it...

1. Import the required libraries: We’ll 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 object: To interact with Spark and Delta Lake, you need to create a SparkSession object:

   builder = (SparkSession.builder

       .appName("read-delta-table")

       .master("spark://spark-master:7077")

       .config("spark.executor...