How to Use createGlobalTempView in PySpark | Share Views Across Sessions
Автор: TechBrothersIT
Загружено: 2025-04-17
Просмотров: 211
Описание:
In this PySpark tutorial, you'll learn how to use createGlobalTempView() to register a DataFrame as a global temporary view, allowing you to access it across multiple Spark sessions and notebooks. This is especially useful when working in collaborative environments or long-running pipelines.
✅ What You’ll Learn:
Difference between createTempView() and createGlobalTempView()
How global temporary views work in PySpark
Accessing global views using the global_temp database
Step-by-step code examples with expected output
Best practices for managing temporary views in shared Spark applications
Perfect for data engineers, analysts, and Spark developers who need to maintain reusable views across jobs and sessions.
#PySpark #PySparkTutorial #SparkSQL #GlobalTempView #DataEngineering #BigData #ApacheSpark #SparkSQLViews #TechBrothersIT #SharedViews
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