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Python Regex complete tutorial with usecases of email search inside whole dbms or code search inside a code repository
PySpark Projects:- Scenario Based Complex ETL projects Part1
String Manipulation on PySpark DataFrames
df = df.withColumn(“name_length”, length(df.first_name)), how to calculate length with leading or trailing spaces or any special characters inserted Great question! In PySpark, the length() function counts all characters, including: ✅ Example: Count Characters with Spaces and Specials ✅ Output: 🧠 Key Notes: ⚠️ Compare With Trim:
Pyspark Dataframe programming – operations, functions, all statements, syntax with Examples
RDD (Resilient Distributed Dataset) is the fundamental data structure in Apache Spark. It provides an abstraction for distributed data and allows parallel processing. Below is an overview of RDD-based programming in PySpark. RDD-Based Programming in PySpark 1. What is an RDD? An RDD (Resilient Distributed Dataset) is an immutable, distributed collection of objects that can…
Python Project Alert:- Dynamic list of variables Creation
Python Code Execution- Behind the Door- What happens?
Temporary Functions in PL/Sql Vs Spark Sql
How PySpark automatically optimizes the job execution by breaking it down into stages and tasks based on data dependencies. can explain with an example
Understanding Pyspark execution with the help of Logs in Detail
Pyspark RDDs a Wonder -Transformations, actions and execution operations- please explain and list them
Great question — understanding SparkSession vs SparkContext is essential, especially when dealing with RDDs, DataFrames, or any Spark internals. 🔍 TL;DR Difference Feature SparkContext SparkSession (since Spark 2.0+) Purpose Low-level entry point to Spark functionality Unified entry point to Spark: SQL, Streaming, Hive, RDD API Focus RDDs only DataFrames, Datasets, SQL, RDDs Usage (Modern) Used…