SQL Window Function | How to write SQL Query using RANK, DENSE RANK, LEAD/LAG | SQL Queries Tutorial

Web Reference: Which of these queries is the faster? NOT EXISTS: SELECT ProductID, ProductName FROM Northwind..Products p WHERE NOT EXISTS ( SELECT 1 FROM Northwind..[Order Details] od WHERE p. SQL是一种用于处理数据的语言，就像我们说的汉语、英语一样，有特定的语法结构，让我们灵活地处理数据。 SQL并不难学，首先得理解 S Q L 三个字母分别代表什么。 Structured Query Language，简写为SQL，意思是结构化查询语言。也就是说SQL是用来查询数据用的，通过代码指令来实现个性化的数据抽取 ... 了解SQL的大致情况后，我们再来看看如何学？ SQL是所有数据库查询的语言，sql由于本身结构化的特点，非常容易入手。 针对不同的数据库，如hivesql、mysql、sqlserver、oracle等，sql语法会有所不同，但是总体上大同小异，只是细微处的差别。

YouTube Excerpt: This video is about Window Functions in SQL which is also referred to as Analytic Function in some of the RDBMS. SQL Window Functions covered in this video are RANK, DENSE RANK, ROW NUMBER, LEAD, LAG. Also, we see how to use SQL Aggregate functions like MIN, MAX, SUM, COUNT, AVG as window function. If you’d like to practice SQL queries or explore my recorded SQL courses, check out my all-in-one SQL learning platform, SQLNest 👇 https://sqlnest.com/ This video is focused on teaching how to write SQL Queries using different window functions or analytic functions. We go through the syntax of using rank, dense_rank, row_number, lead, lag and max functions as window function. Over clause is explained in detail in this video. Over clause is used in SQL when we need to use window function. Inside Over clause, we also use Partition By clause and also Order by clause. Partition By clause is used to specify the column based on which different windows needs to be created. The window function you learn in this video is applicable to any RDBMS since these functions are commonly used across most of the popular RDBMS such as Oracle, MySQL, PostgreSQL, Microsoft SQL Server etc. Download all scripts and Queries used in this video from below link: https://techtfq.com/blog/sql-window-function-part1-sql-queries-tutorial Click on the "Download SQL Script" button to download scripts. Timestamp: 00:00 Intro 01:33 Understanding Aggregate function 03:16 Syntax to write SQL Query using Window Function 06:33 ROW_NUMBER() Window Function in SQL 11:57 RANK() Window Function in SQL 15:43 DENSE_RANK() Window Function in SQL 17:10 Difference between RANK, DENSE RANK and ROW NUMBER in SQL 17:59 LEAD() and LAG() Window Function in SQL I hope this video was helpful and gives you a good understanding of how to write SQL Queries using window functions or analytic functions. If you liked what you saw, then please make sure to like, subscribe and comment any feedback you may have. Also please do not hesitate to share the video with your friends and colleagues who may be interested in learning SQL 🔴 WATCH MORE VIDEOS HERE 👇 ✅ SQL Tutorial - Basic concepts: https://www.youtube.com/playlist?list=PLavw5C92dz9HQQ_COgGb7kf_1H8UWUBxO ✅ SQL Tutorial - Intermediate concepts: https://www.youtube.com/playlist?list=PLavw5C92dz9FD9XspliRM_HZM_jK7tkii ✅ SQL Tutorial - Advance concepts: https://www.youtube.com/playlist?list=PLavw5C92dz9GbmgiW4TWVnxhjMFOIf0Q7 ✅ Practice Solving Basic SQL Queries: https://www.youtube.com/playlist?list=PLavw5C92dz9F66P3GFo5O6nJ4DfZNhVsp ✅ Practice Solving Intermediate SQL Queries: https://www.youtube.com/playlist?list=PLavw5C92dz9EIYmNXJ8ZtQ1bmLIpt0SpV ✅ Practice Solving Complex SQL Queries: https://www.youtube.com/playlist?list=PLavw5C92dz9Fahr7taauUx5RnTfuGyL-- ✅ Data Analytics Career guidance: https://www.youtube.com/playlist?list=PLavw5C92dz9FDsr995DjwCy9XNaIukb8P ✅ SQL Course, SQL Training Platform Recommendations: https://www.youtube.com/playlist?list=PLavw5C92dz9GqF1Q_zn8KnYvFgtEOh-2n ✅ Python Tutorial: https://www.youtube.com/playlist?list=PLavw5C92dz9FePZXIo4jpsupqp3X0w2SW ✅ Git and GitHub Tutorial: https://www.youtube.com/playlist?list=PLavw5C92dz9EI1MPlqqDpe3bgr8RJZE0b ✅ Data Analytics Projects: https://www.youtube.com/playlist?list=PLavw5C92dz9HwT_uStsDdJbuBOt_XD0ch THANK YOU, Thoufiq

This video is about Window Functions in SQL which is also referred to as Analytic Function in some of the RDBMS. SQL Window Functions covered in...

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