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PYSPARK โ€ข LESSON 256

Inspecting Spark Catalog & Database Metadata

How can we programmatically inspect registered databases, tables, columns, and functions in the Spark session catalog?

Advancedโฑ 3 Minutesโญ 850 XP
๐Ÿค” THE QUESTION

How can we programmatically inspect registered databases, tables, columns, and functions in the Spark session catalog?

๐Ÿ’ก WHAT IS IT?

spark.catalog provides methods like listDatabases(), listTables(), and listColumns() for runtime metadata discovery.

๐ŸŽฏ WHAT IS IT USED FOR?

Building generic ingestion pipelines that validate target schema tables dynamically before appending records.

๐Ÿ’ป EXAMPLE
tables = spark.catalog.listTables("default")
table_names = [t.name for t in tables]
columns = spark.catalog.listColumns("v_sales_transactions")

๐ŸŽฏ Mission Objectives

Practice typing production-grade PySpark code for Inspecting Spark Catalog & Database Metadata.

  • โœ“ spark.catalog exploration
  • โœ“ listTables() and listColumns()
  • โœ“ Programmatic catalog discovery