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PySpark Projects:- Scenario Based Complex ETL projects Part2
PySpark Control Statements Vs Python Control Statements- Conditional, Loop, Exception Handling
Python control statements like if-else can still be used in PySpark when they are applied in the context of driver-side logic, not in DataFrame operations themselves. Here’s how the logic works in your example: Understanding Driver-Side Logic in PySpark Breakdown of Your Example This if-else statement works because it is evaluated on the driver (the main control point of…
TroubleShoot Pyspark Issues- Error Handling in Pyspark, Debugging and custom Log table, status table generation in Pyspark
Error handling, Debugging and custom Log table, status table generation in Pyspark Error handling, debugging, and generating custom log tables and status tables are crucial aspects of developing robust PySpark applications. Here’s how you can implement these features in PySpark: 1. Error Handling in PySpark PySpark provides mechanisms to handle errors gracefully. You can use…
Pyspark Memory Management, Partition & Join Strategy – Scenario Based Questions
CPU Cores, executors, executor memory in pyspark- Explain Memory Management in Pyspark
Memory Management through Hadoop Traditional map reduce vs Pyspark- explained with example of Complex data pipeline used for Both used Yup. We will discuss- Memory Management through Hadoop Traditional map reduce vs Pyspark- explained with example of Complex data pipeline used for Both. Let’s delve into a detailed comparison of memory management between Hadoop Traditional…
Partitioning a Table in SQL , Hive QL, Spark SQL
Pivot & unpivot in Spark SQL – How to translate SAS Proc Transpose to Spark SQL
Here’s a clear breakdown of PIVOT and UNPIVOT in SQL and Spark SQL, along with use cases and examples. 🔄 What is PIVOT? PIVOT transforms rows into columns.It is useful for summarizing or grouping data to make it more readable. ✅ Use Case: Show total sales by region across different quarters as columns. 🧱 Sample…
Oracle Query Execution phases- How query flows?
Pyspark -Introduction, Components, Compared With Hadoop, PySpark Architecture- (Driver- Executor)
Deploying a PySpark job- Explain Various Methods and Processes Involved