Updating data in a Delta Lake table

In this recipe, we will learn how to update data in a table in Delta Lake using Python and SQL. Delta Lake is an open source storage layer providing ACID transactions, schema enforcement, and data versioning for big data workloads. Updating data allows us to modify existing records or insert new records into a Delta Lake table efficiently.

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

   from pyspark.sql.functions import expr, lit

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

   builder = (SparkSession.builder

       .appName("upsert-delta-table")

       .master("spark:...