Author: Team AHT
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A quick reference for date manipulation in PySpark:– Function Description Works On Example (Spark SQL) Example (DataFrame API) to_date Converts string to date. String TO_DATE(‘2024-01-15’,…
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For Better understanding on Spark SQL windows Function and Best Usecases do refer our post Window functions in Oracle Pl/Sql and Hive explained and compared…
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PySpark Architecture Cheat Sheet 1. Core Components of PySpark Component Description Key Features Spark Core The foundational Spark component for scheduling, memory management, and fault…
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Yup! Scientists find a ‘Unique’ Black Hole that is hungier than ever in the Universe! Scientists have observed a fascinating phenomenon involving a supermassive black…
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Here’s an enhanced Spark SQL cheatsheet with additional details, covering join types, union types, and set operations like EXCEPT and INTERSECT, along with options for…
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Here’s a categorized Spark SQL function reference, which organizes common Spark SQL functions by functionality. This can help with selecting the right function based on…
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CRUD stands for Create, Read, Update, and Delete. It’s a set of basic operations that are essential for managing data in a database or any…
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Comparative overview of partitions, bucketing, segmentation, and broadcasting in PySpark, Spark SQL, and Hive QL in tabular form, along with examples Here’s a comparative overview…
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Here’s a breakdown of the main SQL command categories and their purposes, including examples of commands commonly used within each: 1. Data Definition Language (DDL)…
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The pandas Series is a one-dimensional array-like data structure that can store data of any type, including integers, floats, strings, or even Python objects. Each…
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This tutorial covers a wide range of pandas operations and advanced concepts with examples that are practical and useful in real-world scenarios. The key topics…
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I have divided a pyspark big script in many steps –by using steps1=”’ some codes”’ till steps7, i want to execute all these steps one…
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How to code in Pyspark a Complete ETL job using only Pyspark sql api not dataframe specific API? Here’s an example of a complete ETL…
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PySpark supports various control statements to manage the flow of your Spark applications. PySpark supports using Python’s if-else-elif statements, but with limitations. Supported Usage Unsupported…
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When working with PySpark, there are several common issues that developers face. These issues can arise from different aspects such as memory management, performance bottlenecks,…
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Q1.–We are working with large datasets in PySpark, such as joining a 30GB table with a 1TB table or Various Transformation on 30 GB Data,…
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To determine the optimal number of CPU cores, executors, and executor memory for a PySpark job, several factors need to be considered, including the size…
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Partitioning in SQL, HiveQL, and Spark SQL is a technique used to divide large tables into smaller, more manageable pieces or partitions. These partitions are…
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PIVOT Clause in Spark sql or Mysql or Oracle Pl sql or Hive QL The PIVOT clause is a powerful tool in SQL that allows…
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SQL query flows through the Oracle engine in the following steps: Step 1: Parsing Step 2: Optimization Step 3: Row Source Generation Step 4: Execution…