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PYSPARK โ€ข LESSON 23

Generic Ingestion with read.format()

How do we use Spark's unified Data Source API format() and load() methods?

Beginnerโฑ 2 Minutesโญ 195 XP
๐Ÿค” THE QUESTION

How do we use Spark's unified Data Source API format() and load() methods?

๐Ÿ’ก WHAT IS IT?

read.format().load() is the standardized generic entry point supporting Parquet, ORC, Delta, Avro, and JDBC.

๐ŸŽฏ WHAT IS IT USED FOR?

Building parameterized, format-agnostic ingestion pipelines across diverse lakehouse storage layers.

๐Ÿ’ป EXAMPLE
df = spark.read.format("parquet") \
    .load("data/warehouse/dim_customers")

๐ŸŽฏ Mission Objectives

Practice typing production-grade PySpark code for Generic Ingestion with read.format().

  • โœ“ Use generic read.format() API
  • โœ“ Specify target data format
  • โœ“ Load dimension customer data