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Rank and Dense Rank in SQL Server
 
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rank and dense_rank example difference between rank and dense_rank with example rank vs dense_rank in sql server 2008 sql server difference between rank and dense_rank In this video we will discuss Rank and Dense_Rank functions in SQL Server Rank and Dense_Rank functions Introduced in SQL Server 2005 Returns a rank starting at 1 based on the ordering of rows imposed by the ORDER BY clause ORDER BY clause is required PARTITION BY clause is optional When the data is partitioned, rank is reset to 1 when the partition changes Difference between Rank and Dense_Rank functions Rank function skips ranking(s) if there is a tie where as Dense_Rank will not. For example : If you have 2 rows at rank 1 and you have 5 rows in total. RANK() returns - 1, 1, 3, 4, 5 DENSE_RANK returns - 1, 1, 2, 3, 4 Syntax : RANK() OVER (ORDER BY Col1, Col2, ...) DENSE_RANK() OVER (ORDER BY Col1, Col2, ...) RANK() and DENSE_RANK() functions without PARTITION BY clause : In this example, data is not partitioned, so RANK() function provides a consecutive numbering except when there is a tie. Rank 2 is skipped as there are 2 rows at rank 1. The third row gets rank 3. DENSE_RANK() on the other hand will not skip ranks if there is a tie. The first 2 rows get rank 1. Third row gets rank 2. SELECT Name, Salary, Gender, RANK() OVER (ORDER BY Salary DESC) AS [Rank], DENSE_RANK() OVER (ORDER BY Salary DESC) AS DenseRank FROM Employees RANK() and DENSE_RANK() functions with PARTITION BY clause : Notice when the partition changes from Female to Male Rank is reset to 1 SELECT Name, Salary, Gender, RANK() OVER (PARTITION BY Gender ORDER BY Salary DESC) AS [Rank], DENSE_RANK() OVER (PARTITION BY Gender ORDER BY Salary DESC) AS DenseRank FROM Employees Use case for RANK and DENSE_RANK functions : Both these functions can be used to find Nth highest salary. However, which function to use depends on what you want to do when there is a tie. Let me explain with an example. If there are 2 employees with the FIRST highest salary, there are 2 different business cases 1. If your business case is, not to produce any result for the SECOND highest salary, then use RANK function 2. If your business case is to return the next Salary after the tied rows as the SECOND highest Salary, then use DENSE_RANK function Since we have 2 Employees with the FIRST highest salary. Rank() function will not return any rows for the SECOND highest Salary. WITH Result AS ( SELECT Salary, RANK() OVER (ORDER BY Salary DESC) AS Salary_Rank FROM Employees ) SELECT TOP 1 Salary FROM Result WHERE Salary_Rank = 2 Though we have 2 Employees with the FIRST highest salary. Dense_Rank() function returns, the next Salary after the tied rows as the SECOND highest Salary WITH Result AS ( SELECT Salary, DENSE_RANK() OVER (ORDER BY Salary DESC) AS Salary_Rank FROM Employees ) SELECT TOP 1 Salary FROM Result WHERE Salary_Rank = 2 You can also use RANK and DENSE_RANK functions to find the Nth highest Salary among Male or Female employee groups. The following query finds the 3rd highest salary amount paid among the Female employees group WITH Result AS ( SELECT Salary, Gender, DENSE_RANK() OVER (PARTITION BY Gender ORDER BY Salary DESC) AS Salary_Rank FROM Employees ) SELECT TOP 1 Salary FROM Result WHERE Salary_Rank = 3 AND Gender = 'Female' Text version of the video http://csharp-video-tutorials.blogspot.com/2015/10/rank-and-denserank-in-sql-server.html Slides http://csharp-video-tutorials.blogspot.com/2015/10/rank-and-denserank-in-sql-server_1.html All SQL Server Text Articles http://csharp-video-tutorials.blogspot.com/p/free-sql-server-video-tutorials-for.html All SQL Server Slides http://csharp-video-tutorials.blogspot.com/p/sql-server.html All Dot Net and SQL Server Tutorials in English https://www.youtube.com/user/kudvenkat/playlists?view=1&sort=dd All Dot Net and SQL Server Tutorials in Arabic https://www.youtube.com/c/KudvenkatArabic/playlists
Views: 81702 kudvenkat
Difference between Row Number, Rank and Dense Rank | Oracle SQL Tutorial | Mr.Murali
 
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►For Registration : https://goo.gl/r6kJbB ►Call: +91-8179191999 ► Visit Our Website: http://nareshit.in/ http://nareshit.com/ ► About NareshIT: "Naresh IT is the Best Software Training Institute for Hadoop, Salesforce, AWS, DevOps, Sprak, Data Science, Python, Tableau, RPA ,Java, C#.NET, ASP.NET, Oracle, Testing Tools, Silver light, Linq, SQL Server, Selenium, Android, iPhone, C Language, C++, PHP and Digital Marketing in Hyderabad, Chennai and Vijayawada, India which provides online and classroom training classes" ►For Registration : https://goo.gl/r6kJbB ►Call: India- 8179191999, USA- 404-232-9879 Email: [email protected] ►Our Online Training Features: 1.Training with Real-Time Experts 2.Industry Specific Scenario’s 3.Flexible Timings 4.Soft Copy of Material 5.Share Video's of each and every session. Check The Below Links: ►For Course Reg : https://goo.gl/r6kJbB ► Subscribe to Our Channel: https://goo.gl/q9ozyG ► Circle us on G+: https://plus.google.com/NareshIT ► Like us on Facebook: https://www.facebook.com/NareshIT ► Follow us on Twitter: https://twitter.com/nareshitech ► Visit Our Website: http://nareshit.in/ http://nareshit.com/
Views: 11689 Naresh i Technologies
Oracle Partition By clause, Oracle Analytic Functions tutorial
 
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More about analytic functions, visit http://www.learn-with-video-tutorials.com Oracle Analytic Functions and Over By Partition clause enable calculating cumulative and moving aggregates returning multiple rows for each group.
SQL: Rank & Dense_rank functions
 
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In this tutorial, you'll learn the difference between rank() and dense_rank() functions..
Views: 28456 radhikaravikumar
SQL Server interview question :- Explain RowNumber,Partition,Rank and DenseRank ?
 
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ORACLE Analytic Functions for Data Warehousing 3/ Arabic
 
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ORACLE Analytic Functions for Data Warehousing 3/ Arabic RANK() VS DENSE_RANK() select employee_id, first_name, salary from employees where DEPARTMENT_ID=30 order by salary desc; select employee_id, first_name, salary , rank() OVER ( ORDER BY salary desc) from employees where DEPARTMENT_ID=30 select employee_id, first_name, salary , rank() OVER ( ORDER BY salary desc) from employees select employee_id, first_name, salary , DENSE_rank() OVER ( ORDER BY salary desc) from employees select * from ( select employee_id, first_name, salary , DENSE_rank() OVER ( ORDER BY salary desc) from employees ) where first_name='Alberto' select employee_id, first_name, salary , department_id , DENSE_rank() OVER ( partition by department_id ORDER BY salary desc) from employees ---------------------- select employee_id, first_name, salary , DENSE_rank() OVER ( ORDER BY salary desc) from employees SELECT DENSE_RANK(9150) WITHIN GROUP (ORDER BY salary desc ) "Rank" FROM employees;
Views: 758 khaled alkhudari
Analytical Functions in oracle explained with real examples
 
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This video explains analytical functions and how they are implemented in real projects. Analytical functions are somewhat similar to aggregate functions,but they offer much more. Why use analytical function ? They allow you to write fast and concise queries which otherwise will involve self join and long processing times They allow you to perform aggregate functions independently on sets of partitions. You can access values from previous rows in current row and you can restrict the window on which you want to apply this analytical function. I have given additional practice exercises along with the dataset so that you can comfortably work with analytical functions. You can find the sample problems along with dataset in the below link. http://www.internshipsfromhome.com/oracle-analytical-functions-ddl-and-dml/
Views: 25008 Tech Coach
Tuorial : Oracle Analytical Functions rank , denserank , top n query
 
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This video gives introduction on how oracle analytical functions like rank , dense rank work. How they should be used practically. How to perform Top N Query with Analytical Functions. Sofware used can be downloaded from : www.querylight.in
Views: 1342 Query Light
Alohadance Pro Oracle Mid Rank MMR Game
 
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Alohadance Pro Oracle Mid Rank MMR Game Play List Dota2 Full Gameplays Carry :http://goo.gl/sZXUwd Mid : http://goo.gl/P8d8z0 Offlane (Top) : http://goo.gl/3YVuj5 Supports : http://goo.gl/yJRfRs Hightlights : http://goo.gl/SbvYjW ------------------------------------------------------------------------------ Subscribe : https://goo.gl/6dYPzs Facebook : https://www.facebook.com/RedArchonThai/?fref=ts ---------------------------------------------------------------------------------- Tag: Dota 2 Pro is a 2014 6.82B multiplayer online battle arena video game and the stand-alone sequel to the Defense of the Ancients (DotA) Warcraft III: Reign of Chaos and Warcraft III: The Frozen Throne mod. Developed by Valve Corporation, Dota 2 was released as a free-to-play title for Microsoft Windows, OS X and Linux in July 2013, concluding a Windows-only public beta testing phase that began in 2011. The game is available exclusively through Valve's content-delivery platform, Steam.Dota 2 is played in discrete matches involving two five-player teams, each of which occupies a stronghold at a corner of the map. Each stronghold contains a building called the "Ancient", which the opposite team must destroy to win the match. Each player controls a "Hero" character and focuses on leveling up, collecting gold, acquiring items and fighting against the other team to achieve victory.Each match of Dota 2 takes place on a functionally symmetrical map that features the strongholds of two warring factions, the Radiant and the Dire. The Radiant is based at the southwest corner of the map, while the Dire is based at the northeast corner; the two sides are divided by a river that runs perpendicular to the central lane. These factions are defended by up to five players each, and are pitted against one another to compete as the defenders for their respective Ancient. In each stronghold is a critical structure called the "Ancient", a fountain that provide health and lesser structures. These bases are connected by three paths, referred to as "lanes" – two run parallel with the edges of the map, while one runs directly between the two bases. The lanes are guarded by defensive Towers, as well as autonomous characters called "creeps", which periodically spawn in groups and traverse the lanes, attacking enemies they encounter. Featured across the map are hostile characters referred to as "neutrals", which are not aligned to either faction and are primarily located in the forests. Located in a tarn on the northeast side of the river is a "boss" called "Roshan", who typically requires multiple team members to kill and drops powerful items MMR Pro plays replays how to play guide tutorial perspective dota dota2 rank ranking ranked tips tricks learns highlights safelane top mid carry support jungle ult ultimate Dota 2 is a multiplayer online battle arena (MOBA) video game produced by IceFrog and Valve Corporation. On Dota 2 Highlights TV channel you can find highlights from major tournaments, Dota 2 gameplay, videos with pro Dota 2 players and many other interesting Dota 2 movies. Remember to subscribe to be notified when we release new Dota 2 videos! Pro heroes team How To Play tricks guide pro gameplay heros 60fps dota dota2 "dota gamplay" "dota 2 gameplay" pro hero heroes heros "dota 2" game "how to play" guide tip trick mmr rank perspective gameplay "Dota 2 big play" "best moba" "dota2 pro play" "dota pro play" "dota 2 video" "dota 2 highlights" "dota video" "dota replay" "dota 2 replay" "guide dota2" дота "дота 2" highlights 7000
Views: 1953 RedArchon
Oracle rollup and cube - Rollup and cube in Oracle with examples - Group by function in SQL
 
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Rollup and cube are group by function in SQL. Use of Rollup and cube are explained in this video in Oracle with examples. These functions are very important as they allow to generate certain reports which required subtotals and grand totals to be calculated using group by clause in SQL #BasicSQL #LearnSQL #Crazy4DB #MunshiSir #Oracle #GroupByClause SQL DECODE and CASE : https://youtu.be/-TK-7oI59DE Group Functions Examples : https://youtu.be/fx4EnMdyTOM A complete course on SQL : https://www.youtube.com/playlist?list=PLdNnjIwbbBta7tveno_un-C7VVFY-F24Z My web site : http://www.oracletrainingnagpur.com My blog : https://crazy4db.blogspot.in My facebook page : https://www.facebook.com/crazy4db/
Views: 61 Crazy4 DB
SQL: Group By,  Having, Min, Max Sum
 
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Learn to summarize yoru data using the SQL Aggregates such as count and sum and the GROUP BY and HAVING clauses of the SELECT statement
Views: 156158 Michael Fudge
SQL TOP, RANK, DENSE_RANK, ROW_NUMBER Functions
 
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Jamie King of Neumont University demonstrating various SQL ranking functions.
Views: 23644 Jamie King
RANK and DENCE_RANK in SQL | Oracle SQL Tutorial Videos | Mr.Vijay Kumar
 
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RANK and DENCE_RANK in SQL | Oracle SQL Tutorial Videos | Mr.Vijay Kumar ** For Online Training Registration: https://goo.gl/r6kJbB ► Call: +91-8179191999 💡 Visit Our Website for Classroom Training: https://nareshit.in/oracle-training/ 💡 For Online Training: https://nareshit.com/oracle-online-training/ #Oracle #Training #CourseVideos -------------------------- 💡 About NareshIT: "Naresh IT is having 14+ years of experience in software training industry and the best Software Training Institute for online training, classroom training, weekend training, corporate training of Hadoop, Salesforce, AWS, DevOps, Spark, Data Science, Python, Tableau, RPA , Java, C#.NET, ASP.NET, Oracle, Testing Tools, Silver light, Linq, SQL Server, Selenium, Android, iPhone, C Language, C++, PHP and Digital Marketing in USA, Hyderabad, Chennai and Vijayawada, Bangalore India which provides online training across all the locations -------------------------- 💡 Our Online Training Features: 🎈 Training with Real-Time Experts 🎈 Industry Specific Scenario’s 🎈 Flexible Timings 🎈 Soft Copy of Material 🎈 Share Videos of each and every session. -------------------------- 💡 Please write back to us at 📧 [email protected]/ 📧 [email protected] or Call us at the USA: ☎+1404-232-9879 or India: ☎ +918179191999 -------------------------- 💡 Check The Below Links ► For Course Reg: https://goo.gl/r6kJbB ► Subscribe to Our Channel: https://goo.gl/q9ozyG ► Circle us on G+: https://plus.google.com/+NareshIT ► Like us on Facebook: https://www.facebook.com/NareshIT ► Follow us on Twitter: https://twitter.com/nareshitek ► Follow us on Linkedin: https://goo.gl/CRBZ5F ► Follow us on Instagram: https://goo.gl/3UXYK3
Views: 17934 Naresh i Technologies
rank in oracle
 
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in this tutorial i teach rank in oracle
GROUP BY with Aggregate functions in SQL statement
 
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Using "GROUP BY" clause with Aggregate functions in SQL statement Check the whole "SQL Server Basics" series here: https://www.youtube.com/playlist?list=PLU9JMEzjCv14f3cWDhubPaddxRvx1reKR Check my SQL blog at: http://sqlwithmanoj.com/ Check my SQL FB Page at: https://www.facebook.com/sqlwithmanoj
Views: 44881 SQL with Manoj
Leaner, Faster Code with Advanced SQL Techniques
 
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Connor Mcdonald, Developer Advocate for SQL, Oracle Most SQL is so simple to write that we can hand off the job to an ORM tool or a similar mechanism. But by delving a little deeper into more-advanced SQL facilities, we can get performance benefits and write a lot less middle-tier code. This session highlights some SQL techniques for solving problems that would otherwise require a lot of complex coding. Learn how to become a more productive developer by expanding your knowledge of the SQL language.
Views: 7029 Oracle Developers
SQL Tutorial - Window Functions - Ranking with Group By
 
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Another fantastic SQL Tutorial brought to you by BeardedDev. If you are new to working with Windows Functions check out this video: https://youtu.be/H6OTMoXjNiM If you want to find out more about the Group By clause and working with aggregate functions check out this video: https://youtu.be/TYD6gWP3jBg If you are interested in finding out more about ranking functions available in SQL Server check out this video: https://youtu.be/xL7BtCT7ix4 In this tutorial we explore ranking functions as part of Window Functions using the Group By clause within SQL Server. In this example we go through how to rank customers based on the sum of the orders they have placed with us. The window function example also covers the difference between using Rank and Dense_Rank. SQL SELECT Sales_Cust_Id , SUM(Sales_Total) AS Total FROM dbo.Sales_2 GROUP BY Sales_Cust_Id ORDER BY Total DESC SELECT Sales_Cust_Id , SUM(Sales_Total) AS Total , RANK() OVER(ORDER BY SUM(Sales_Total) DESC) AS rnk , DENSE_RANK() OVER(ORDER BY SUM(Sales_Total) DESC) AS dnse FROM dbo.Sales_2 GROUP BY Sales_Cust_Id ORDER BY rnk
Views: 1641 BeardedDev
RANK Analytic Function in SQL with an Example
 
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RANK() Analytic Function: RANK calculates the rank of a value in a group of values. The return type is NUMBER. If two or more rows tie for a rank, each tied rows receives the same rank. For example, if the two top employees have the same salary value, they are both ranked one. The employee with the next highest salary is ranked number three, because there are two rows that are ranked higher. Therefore, the RANK function does not always return consecutive integers. The sort order that is used for the whole query determines the order in which the rows appear in a result set. PARTITION BY clause: Divides the query result set into partitions. The window function is applied to each partition separately and computation restarts for each partition. ORDER BY clause: Defines the logical order of the rows within each partition of the result set. That is, it specifies the logical order in which the window functioncalculation is performed. Query used in Video: select ename,sal,deptno,RANK() OVER(PARTITION BY deptno ORDER BY sal) from emp; Video Explanation: See here 6th row assigned the value '6',not '5' because 4th and 5th rows have same value for salary. Its the same for 12 and 13 rows also. we did not mention anything on OVER clause except ORDER BY. If you want apply RANK() by department wise, we can use PARTITION BY clause. PARTION BY works like GROUP BY in aggregates!
Views: 6996 WingsOfTechnology
HOW TO IDENTIFY AND DELETE DUPLICATE ROWS USING ROWID AND GROUPBY IN ORACLE SQL
 
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This video demonstrates examples on how to find and delete duplicate records from a table. The video gives simple and easy to understand examples on finding duplicate records from a table using group by and having clause and row_number function. It also shows the ways in which duplicates can be deleted very efficiently using the rowid of that record. You can get the code from our website http://oracleplsqlblog.com/FullBlog/FullBlog/21
Views: 11243 Kishan Mashru
Oracle interview question, Difference between Rank and Dense Rank
 
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Oracle interview question Difference between Rank and Dense Rank Both RANK() and DENSK_RANK() function gives the ranking within the ordered partition of data, However if same rank is assigned to more than one record, then the next rank(s) will be skipped by RANK() function, whereas, the ranks are consecutive for DENSE_RANK. No ranks will be skipped in case of DENSE_RANK even if more than one row are assigned with same rank. List of all the SQL and PLSQL interview questions https://easy-learning-tech.blogspot.com/p/oracle-sql-plsql-interview-questions.html
Views: 674 Siva Academy
Over clause in SQL Server
 
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over partition by in sql server 2008 sql server over clause partition partition by clause in sql server 2008 over partition by clause in sql In this video we will discuss the power and use of Over clause in SQL Server. The OVER clause combined with PARTITION BY is used to break up data into partitions. Syntax : function (...) OVER (PARTITION BY col1, Col2, ...) The specified function operates for each partition. For example : COUNT(Gender) OVER (PARTITION BY Gender) will partition the data by GENDER i.e there will 2 partitions (Male and Female) and then the COUNT() function is applied over each partition. Any of the following functions can be used. Please note this is not the complete list. COUNT(), AVG(), SUM(), MIN(), MAX(), ROW_NUMBER(), RANK(), DENSE_RANK() etc. Example : SQl Script to create Employees table Create Table Employees ( Id int primary key, Name nvarchar(50), Gender nvarchar(10), Salary int ) Go Insert Into Employees Values (1, 'Mark', 'Male', 5000) Insert Into Employees Values (2, 'John', 'Male', 4500) Insert Into Employees Values (3, 'Pam', 'Female', 5500) Insert Into Employees Values (4, 'Sara', 'Female', 4000) Insert Into Employees Values (5, 'Todd', 'Male', 3500) Insert Into Employees Values (6, 'Mary', 'Female', 5000) Insert Into Employees Values (7, 'Ben', 'Male', 6500) Insert Into Employees Values (8, 'Jodi', 'Female', 7000) Insert Into Employees Values (9, 'Tom', 'Male', 5500) Insert Into Employees Values (10, 'Ron', 'Male', 5000) Go Write a query to retrieve total count of employees by Gender. Also in the result we want Average, Minimum and Maximum salary by Gender. This can be very easily achieved using a simple GROUP BY query as show below. SELECT Gender, COUNT(*) AS GenderTotal, AVG(Salary) AS AvgSal, MIN(Salary) AS MinSal, MAX(Salary) AS MaxSal FROM Employees GROUP BY Gender What if we want non-aggregated values (like employee Name and Salary) in result set along with aggregated values You cannot include non-aggregated columns in the GROUP BY query. SELECT Name, Salary, Gender, COUNT(*) AS GenderTotal, AVG(Salary) AS AvgSal, MIN(Salary) AS MinSal, MAX(Salary) AS MaxSal FROM Employees GROUP BY Gender The above query will result in the following error : Column 'Employees.Name' is invalid in the select list because it is not contained in either an aggregate function or the GROUP BY clause One way to achieve this is by including the aggregations in a subquery and then JOINING it with the main query as shown in the example below. Look at the amount of T-SQL code we have to write. SELECT Name, Salary, Employees.Gender, Genders.GenderTotals, Genders.AvgSal, Genders.MinSal, Genders.MaxSal FROM Employees INNER JOIN (SELECT Gender, COUNT(*) AS GenderTotals, AVG(Salary) AS AvgSal, MIN(Salary) AS MinSal, MAX(Salary) AS MaxSal FROM Employees GROUP BY Gender) AS Genders ON Genders.Gender = Employees.Gender Better way of doing this is by using the OVER clause combined with PARTITION BY SELECT Name, Salary, Gender, COUNT(Gender) OVER(PARTITION BY Gender) AS GenderTotals, AVG(Salary) OVER(PARTITION BY Gender) AS AvgSal, MIN(Salary) OVER(PARTITION BY Gender) AS MinSal, MAX(Salary) OVER(PARTITION BY Gender) AS MaxSal FROM Employees Text version of the video http://csharp-video-tutorials.blogspot.com/2015/09/over-clause-in-sql-server.html Slides http://csharp-video-tutorials.blogspot.com/2015/09/over-clause-in-sql-server_29.html All SQL Server Text Articles http://csharp-video-tutorials.blogspot.com/p/free-sql-server-video-tutorials-for.html All SQL Server Slides http://csharp-video-tutorials.blogspot.com/p/sql-server.html All Dot Net and SQL Server Tutorials in English https://www.youtube.com/user/kudvenkat/playlists?view=1&sort=dd All Dot Net and SQL Server Tutorials in Arabic https://www.youtube.com/c/KudvenkatArabic/playlists
Views: 92968 kudvenkat
SQL Tutorial - Window Functions - Ranking
 
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Another fantastic SQL Tutorial brought to you by BeardedDev. If you are new to working with Window Functions check out this video: https://youtu.be/H6OTMoXjNiM In this video we explore ranking functions available as part of Window Functions: ROW_NUMBER() RANK() DENSE_RANK() NTILE() This tutorial shows an example of when to use each ranking function and the differences between them. Window Functions were first introduced in SQL Server 2005 but further enhancements and support was added in SQL Server 2012. We look at the OVER clause and PARTITION BY. Window Functions can only be included within SELECT or ORDER BY clauses. Functions Available: Aggregate - COUNT, SUM, MIN, MAX, AVG Ranking - ROW_NUMBER, RANK, DENSE_RANK, NTILE Offset - FIRST_VALUE, LAST_VALUE, LEAD, LAG Statistical - PERCENT_RANK, CUME_DIST, PERCENTILE_CONT, PERCENTILE_DIST Windows Functions also have FRAMES ROWS RANGE Window Functions are a powerful tool within SQL Server and I am excited to bring more videos and tutorials working with Window Functions in the future. ROW_NUMBER - unique incrementing integers RANK - same rank for same values DENSE_RANK - same rank for same values NTILE - assigns tile numbers based on number of tiles requested SQL: SELECT Sales_Id , Sales_Total , ROW_NUMBER() OVER(ORDER BY Sales_Total DESC) AS rownum , RANK() OVER(ORDER BY Sales_Total DESC) AS rnk , DENSE_RANK() OVER(ORDER BY Sales_Total DESC) AS dense , NTILE(3) OVER(ORDER BY Sales_Total DESC) AS ntle FROM dbo.Sales_2 SELECT Sales_Id , NTILE(10) OVER(ORDER BY Sales_Total DESC) AS ntle FROM dbo.Sales_2
Views: 3315 BeardedDev
Difference between rank dense rank and row number in SQL
 
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row_number vs rank vs dense_rank in sql server dense_rank vs rank vs row_number sql server rank dense_rank row_number in sql server In this video we will discuss the similarities and difference between RANK, DENSE_RANK and ROW_NUMBER functions in SQL Server. Similarities between RANK, DENSE_RANK and ROW_NUMBER functions Returns an increasing integer value starting at 1 based on the ordering of rows imposed by the ORDER BY clause (if there are no ties) ORDER BY clause is required PARTITION BY clause is optional When the data is partitioned, the integer value is reset to 1 when the partition changes SQL Script to create the Employees table Create Table Employees ( Id int primary key, Name nvarchar(50), Gender nvarchar(10), Salary int ) Go Insert Into Employees Values (1, 'Mark', 'Male', 6000) Insert Into Employees Values (2, 'John', 'Male', 8000) Insert Into Employees Values (3, 'Pam', 'Female', 4000) Insert Into Employees Values (4, 'Sara', 'Female', 5000) Insert Into Employees Values (5, 'Todd', 'Male', 3000) Notice that no two employees in the table have the same salary. So all the 3 functions RANK, DENSE_RANK and ROW_NUMBER produce the same increasing integer value when ordered by Salary column. SELECT Name, Salary, Gender, ROW_NUMBER() OVER (ORDER BY Salary DESC) AS RowNumber, RANK() OVER (ORDER BY Salary DESC) AS [Rank], DENSE_RANK() OVER (ORDER BY Salary DESC) AS DenseRank FROM Employees You will only see the difference when there ties. Now let's include duplicate values for Salary column. To do this First delete existing data from the Employees table DELETE FROM Employees Insert new rows with duplicate valuse for Salary column Insert Into Employees Values (1, 'Mark', 'Male', 8000) Insert Into Employees Values (2, 'John', 'Male', 8000) Insert Into Employees Values (3, 'Pam', 'Female', 8000) Insert Into Employees Values (4, 'Sara', 'Female', 4000) Insert Into Employees Values (5, 'Todd', 'Male', 3500) Notice 3 employees have the same salary 8000. When you execute the following query you can clearly see the difference between RANK, DENSE_RANK and ROW_NUMBER functions. SELECT Name, Salary, Gender, ROW_NUMBER() OVER (ORDER BY Salary DESC) AS RowNumber, RANK() OVER (ORDER BY Salary DESC) AS [Rank], DENSE_RANK() OVER (ORDER BY Salary DESC) AS DenseRank FROM Employees Difference between RANK, DENSE_RANK and ROW_NUMBER functions ROW_NUMBER : Returns an increasing unique number for each row starting at 1, even if there are duplicates. RANK : Returns an increasing unique number for each row starting at 1. When there are duplicates, same rank is assigned to all the duplicate rows, but the next row after the duplicate rows will have the rank it would have been assigned if there had been no duplicates. So RANK function skips rankings if there are duplicates. DENSE_RANK : Returns an increasing unique number for each row starting at 1. When there are duplicates, same rank is assigned to all the duplicate rows but the DENSE_RANK function will not skip any ranks. This means the next row after the duplicate rows will have the next rank in the sequence. Text version of the video http://csharp-video-tutorials.blogspot.com/2015/10/difference-between-rank-denserank-and.html Slides http://csharp-video-tutorials.blogspot.com/2015/10/difference-between-rank-denserank-and_2.html All SQL Server Text Articles http://csharp-video-tutorials.blogspot.com/p/free-sql-server-video-tutorials-for.html All SQL Server Slides http://csharp-video-tutorials.blogspot.com/p/sql-server.html All Dot Net and SQL Server Tutorials in English https://www.youtube.com/user/kudvenkat/playlists?view=1&sort=dd All Dot Net and SQL Server Tutorials in Arabic https://www.youtube.com/c/KudvenkatArabic/playlists
Views: 44254 kudvenkat
Oracle PL SQL interview question RANK and DENSE RANK as Aggregate Function and Analytical Function
 
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Oracle PL SQL interview question RANK and DENSE RANK as Aggregate Function and Analytical Function Click here to subscribe to my youtube channel http://www.youtube.com/channel/UCBt6VrxAIb5jLh9HLDcdwtQ?sub_confirmation=1 Oracle Interview questions and Answers at https://www.youtube.com/playlist?list=PLb1qVSx1k1Vr0v4wVyvT3GEuA0J0M4xBm Oracle 18C New features at https://www.youtube.com/playlist?list=PLb1qVSx1k1Vqe06V1tIBcvnslMPWX69bW Oracle 12C New features at https://www.youtube.com/playlist?list=PLb1qVSx1k1VqM1u2IHWzZIgziqejl6wx- Oracle PLSQL records and collections at https://www.youtube.com/playlist?list=PLb1qVSx1k1VpAFTXopXvAh_D3PLcTntdm
Views: 449 Siva Academy
How to Code Oracle Analytic Functions
 
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Many more free Oracle Database and SQL tutorials at http://skillbuilders.com/free-oracle-tutorials. SQL is a language that allows you to perform queries to answer a wide range of questions about your data. While standard SQL is quite powerful, there are many questions that it cannot answer at all or that it can only answer with complex and inefficient SQL workarounds. Questions about running totals, percent of total, and ranking within a group fall into this area. Also, more complex issues such as Top-N within a group and aggregates over a range also fall in this arena. These questions can be easily answered via a new class of SQL statements called Analytic Functions. This presentation will show you how to use Oracle's Analytic Function extensions to SQL to answer these questions simply and efficiently.
Views: 26444 SkillBuilders
SQL Ranking Functions: Part 2 Rank, Row_Number, and Dense_Rank
 
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How to use the ranking functions ROW_NUMBER(), RANK(), and DENSE_RANK().
Views: 386 Database by Doug
SQL Query Training   70 461 TOP Ranking and Analytic functions
 
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Additional Training: http://amzn.to/1RjjJCf Other Trainings: www.AaronBuma.com/free-sql-server-training/ We cover features around the TOP(N) in your query, followed by using the RANK(), DENSE_RANK and ROW_NUMBER. Then on to Analytic Functions to help with your statistical analysis of data. Similar to aggregate functions, analytics functions compute over a group of rows with multiple results within each group. Learn how to properly use each of these analytics functions in combination with enhancements to the OVER clause. Learn the value of CUME_DIST and PERCENT_RANK in your analysis, use LAST_VALUE and FIRST_VALUE along with PERCENTILE_DISC, PERCENTILE_CONT, LEAD and LAG you can look at data in the next and previous row. For previous presentations and notifications of upcoming events, checkout my blog: www.AaronBuma.com or follow @AaronDBuma Slides and scripts are also available at: www.AaronBuma.com
Views: 10017 Aaron Buma
RANK and DENSE RANK functions in ORACLE
 
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RANK and DENSE RANK functions in ORACLE... Oracle tutorials for biginners....
Views: 181 CONNECT TO LEARN
Row Number Vs Rank Vs Dense Rank
 
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This video shows the difference between row_number, rank and dense_rank analytical functions in oracle database with appropriate easy to understand examples, along with it the video demonstrates the different output obtained when using either of the three functions. Apart from simple explanation of the function we also show how partition by and order by clause can be used with the functions for tacking day to day scenarios. If you want more such videos of exciting and amazing 'difference between' concepts, check out the links below : union and union all : https://youtu.be/n9FqQOd8liY char and varchar2 : https://youtu.be/039qzwjWf4k replace and translate : https://youtu.be/HKYF77BGzOE procedure and function : https://youtu.be/q3LmOenL120 in and exists : https://youtu.be/REX4IjRYlFw delete and truncate : https://youtu.be/u76wMm2byXo %type and %rowtype : https://youtu.be/MlLUFeZ_3eM
Views: 2826 Kishan Mashru
RANK Aggregate Function in SQL with an Example
 
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RANK() Aggregate Function: RANK calculates the rank of a value in a group of values. The return type is NUMBER. Query used in video: select RANK(5000) WITHIN GROUP (ORDER BY sal) "Rank" from emp;
Views: 1119 WingsOfTechnology
SQL Server video :- Explain aggregate functions,group by clause and having keyword ?
 
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For more such videos visit http://www.questpond.com For more such videos subscribe https://www.youtube.com/questpondvideos?sub_confirmation=1 See our other Step by Step video series below :- Learn SQL Server Step by Step http://tinyurl.com/ja4zmwu Learn MSBI Step by Step in 32 hours:- https://goo.gl/TTpFZN Learn Data Science in 1 hour :- https://tinyurl.com/y5o7qbau Learn angular tutorial step by step https://tinyurl.com/ycd9j895 Learn C# Step by Step https://goo.gl/FNlqn3 Learn Design Pattern Step by Step https://goo.gl/eJdn0m Learn Azure Step by Step :- https://tinyurl.com/y6fmrech Learn Data structures & algorithm https://tinyurl.com/ybx29c5s Learn MVC Core step by step :- http://tinyurl.com/y9jt3wkv Learn ASP.NET MVC 5 step by step :- https://tinyurl.com/y6g69txf Learn Xamarin Mobile Programming Step by Step :- https://goo.gl/WDVFuy Learn SharePoint Step by Step in 8 hours:- https://goo.gl/XQKHeP Learn Tableau step by step :- https://tinyurl.com/kh6ojyo Preparing for C# / .NET interviews start here http://www.youtube.com/watch?v=gaDn-sVLj8Q visit for 600+ videos @ http://www.questpond.com In this video we will try to understand aggregate function,group by clause and having keyword. This is also one of the favorite SQL Server interview questions as well. We are also distributing a 100 page Ebook ".NET Interview Question and Answers". If you want this ebook please share this video in your facebook/twitter/linkedin account and email us on [email protected] with the shared link and we will email you the PDF.
Views: 197253 Questpond
How to find nth Max salary in a table
 
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This video is useful to find the nth max salary from a table. It shows all the different ways and possibilities to find the nth max salary from a table, using a rownum sub query and the later on using a dense rank function.
Views: 13329 Kishan Mashru
Oracle Performance Tips - Rank and Dense_Rank
 
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A brief overview and difference between rank and dense_rank analytic function in Oracle
Views: 576 Saurabh Kumar
ROLLUP & CUBE in SQL | Oracle SQL Tutorial Videos | Mr.Vijay Kumar
 
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ROLLUP & CUBE in SQL | Oracle SQL Tutorial Videos | Mr.Vijay Kumar ** For Online Training Registration: https://goo.gl/r6kJbB ► Call: +91-8179191999 💡 Visit Our Website for Classroom Training: https://nareshit.in/oracle-training/ 💡 For Online Training: https://nareshit.com/oracle-online-training/ #OracleOnlineTraining #OracleCourse #oracleCoaching #OracleTraining -------------------------- 💡 About NareshIT: "Naresh IT is having 14+ years of experience in software training industry and the best Software Training Institute for online training, classroom training, weekend training, corporate training of Hadoop, Salesforce, AWS, DevOps, Spark, Data Science, Python, Tableau, RPA , Java, C#.NET, ASP.NET, Oracle, Testing Tools, Silver light, Linq, SQL Server, Selenium, Android, iPhone, C Language, C++, PHP and Digital Marketing in USA, Hyderabad, Chennai and Vijayawada, Bangalore India which provides online training across all the locations -------------------------- 💡 Our Online Training Features: 🎈 Training with Real-Time Experts 🎈 Industry Specific Scenario’s 🎈 Flexible Timings 🎈 Soft Copy of Material 🎈 Share Videos of each and every session. -------------------------- 💡 Please write back to us at 📧 [email protected]/ 📧 [email protected] or Call us at the USA: ☎+1404-232-9879 or India: ☎ +918179191999 -------------------------- 💡 Check The Below Links ► For Course Reg: https://goo.gl/r6kJbB ► Subscribe to Our Channel: https://goo.gl/q9ozyG ► Circle us on G+: https://plus.google.com/+NareshIT ► Like us on Facebook: https://www.facebook.com/NareshIT ► Follow us on Twitter: https://twitter.com/nareshitek ► Follow us on Linkedin: https://goo.gl/CRBZ5F ► Follow us on Instagram: https://goo.gl/3UXYK3 Category Education Category Education
Views: 21517 Naresh i Technologies
Quick! What's the difference between RANK, DENSE_RANK, and ROW_NUMBER?
 
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Short videos showing the difference in the RANK(), DENSE_RANK(), and ROW_NUMBER() ranking functions.
Views: 335 Database by Doug
Difference Between Rank And Dense Rank in SQL
 
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Difference Between Rank And Dense Rank in SQL IS the most common Interview Question in PLSQL Developers
Views: 940 Useful Tips
Difference between Rank , Dense Rank and Row number
 
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Please comment I you have doubts or questions related to this topic.
Views: 576 Oracle PL/SQL
flashback in Oracle | Oracle SQL Tutorial Videos | Mr.Vijay Kumar
 
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flashback in Oracle | Oracle SQL Tutorial Videos | Mr.Vijay Kumar ** For Online Training Registration: https://goo.gl/r6kJbB ► Call: +91-8179191999 💡 Visit Our Website for Classroom Training: https://nareshit.in/oracle-training/ 💡 For Online Training: https://nareshit.com/oracle-online-training/ #Oracle #Training #CourseVideos -------------------------- 💡 About NareshIT: "Naresh IT is having 14+ years of experience in software training industry and the best Software Training Institute for online training, classroom training, weekend training, corporate training of Hadoop, Salesforce, AWS, DevOps, Spark, Data Science, Python, Tableau, RPA , Java, C#.NET, ASP.NET, Oracle, Testing Tools, Silver light, Linq, SQL Server, Selenium, Android, iPhone, C Language, C++, PHP and Digital Marketing in USA, Hyderabad, Chennai and Vijayawada, Bangalore India which provides online training across all the locations -------------------------- 💡 Our Online Training Features: 🎈 Training with Real-Time Experts 🎈 Industry Specific Scenario’s 🎈 Flexible Timings 🎈 Soft Copy of Material 🎈 Share Videos of each and every session. -------------------------- 💡 Please write back to us at 📧 [email protected]/ 📧 [email protected] or Call us at the USA: ☎+1404-232-9879 or India: ☎ +918179191999 -------------------------- 💡 Check The Below Links ► For Course Reg: https://goo.gl/r6kJbB ► Subscribe to Our Channel: https://goo.gl/q9ozyG ► Circle us on G+: https://plus.google.com/+NareshIT ► Like us on Facebook: https://www.facebook.com/NareshIT ► Follow us on Twitter: https://twitter.com/nareshitek ► Follow us on Linkedin: https://goo.gl/CRBZ5F ► Follow us on Instagram: https://goo.gl/3UXYK3
Views: 16649 Naresh i Technologies
How to find nth Highest Salary in SQL ( 6 Methods )
 
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This video describes how to find out nth highest salary, different / various methods / ways/types to find nth highest/lowest salary/income value using SQL server.Simple ways to get/extract particular amount.It give brief explanation with live/real time/practical examples.This is one of the most interview question in SQL. How to retrieve nth position of record of from table? , SQL Server interview question and answers.Query to select top max salary from given table.
Views: 31336 Tech Jago
SQL Ranking Functions: Part 1 The Over Clause
 
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Overview of the SQL Ranking functions, focusing on the OVER clause, which must have an ORDER BY part, and might also have a PARTITION BY part.
Views: 557 Database by Doug
Oracle's customer Luke Ryan, Rank Group Limited, outlines the beneftis of Oracle EPM
 
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Luke Ryan, Group Reporting and Systems Manager at Rank Group Limited speaks to Oracle at the EPM Summit in Melbourne on the impact Oracle Enterprise Performance Management (EPM) has had on Rank Group and explains why attending industry events is a helpful tool for potential customers. Rank Group made the decision to deploy Oracle EPM in all international offices, Luke discusses the benefits Rank Group has enjoyed as a direct result of this. His most favoured qualities of the product include its stabililty, the ease of accessibility and flexible nature of the product.
Views: 115 OracleANZ
HAVING clause and difference with GROUP BY & WHERE clause in SQL statement
 
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Using HAVING clause and difference with GROUP BY & WHERE clause in SQL statement Link for scripts on my blog: https://sqlwithmanoj.com/2015/05/23/sql-basics-difference-between-where-group-by-and-having-clause/ Check the whole "SQL Server Basics" series here: https://www.youtube.com/playlist?list=PLU9JMEzjCv14f3cWDhubPaddxRvx1reKR Check my SQL blog at: http://sqlwithmanoj.com/ Check my SQL FB Page at: https://www.facebook.com/sqlwithmanoj
Views: 71953 SQL with Manoj
Window functions in SQL Server
 
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sql server window function example window function sql server example sql server rows range clause sql server rows between 1 preceding and 1 following In this video we will discuss window functions in SQL Server In SQL Server we have different categories of window functions Aggregate functions - AVG, SUM, COUNT, MIN, MAX etc.. Ranking functions - RANK, DENSE_RANK, ROW_NUMBER etc.. Analytic functions - LEAD, LAG, FIRST_VALUE, LAST_VALUE etc... OVER Clause defines the partitioning and ordering of a rows (i.e a window) for the above functions to operate on. Hence these functions are called window functions. The OVER clause accepts the following three arguments to define a window for these functions to operate on. ORDER BY : Defines the logical order of the rows PARTITION BY : Divides the query result set into partitions. The window function is applied to each partition separately. ROWSor RANGE clause : Further limits the rows within the partition by specifying start and end points within the partition. The default for ROWS or RANGE clause is RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW Let us understand the use of ROWS or RANGE clause with an example. Compute average salary and display it against every employee We might think the following query would do the job. SELECT Name, Gender, Salary, AVG(Salary) OVER(ORDER BY Salary) AS Average FROM Employees As you can see from the result, the above query does not produce the overall salary average. It produces the average of the current row and the rows preceeding the current row. This is because, the default value of ROWS or RANGE clause (RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) is applied. To fix this, provide an explicit value for ROWS or RANGE clause as shown below. ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING tells the window function to operate on the set of rows starting from the first row in the partition to the last row in the partition. SELECT Name, Gender, Salary, AVG(Salary) OVER(ORDER BY Salary ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS Average FROM Employees The same result can also be achieved by using RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING Well, what is the difference between ROWS and RANGE We will discuss this in a later video The following query can be used if you want to compute the average salary of 1. The current row 2. One row PRECEDING the current row and 3. One row FOLLOWING the current row SELECT Name, Gender, Salary, AVG(Salary) OVER(ORDER BY Salary ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING) AS Average FROM Employees Text version of the video http://csharp-video-tutorials.blogspot.com/2015/10/window-functions-in-sql-server.html Slides http://csharp-video-tutorials.blogspot.com/2015/10/window-functions-in-sql-server_7.html All SQL Server Text Articles http://csharp-video-tutorials.blogspot.com/p/free-sql-server-video-tutorials-for.html All SQL Server Slides http://csharp-video-tutorials.blogspot.com/p/sql-server.html All Dot Net and SQL Server Tutorials in English https://www.youtube.com/user/kudvenkat/playlists?view=1&sort=dd All Dot Net and SQL Server Tutorials in Arabic https://www.youtube.com/c/KudvenkatArabic/playlists
Views: 63837 kudvenkat
Group Function 02 Oracle
 
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Having Clause, Group Function, Group By Clause
Getting Started with PL/SQL Table Functions: Pipelined Table Functions
 
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Pipelined table functions are table functions in which rows are returned or "piped" back to the calling query before the function has completed, avoiding the blocking behavior of normal PL/SQL functions and reduce PGA consumption. This video is part of the Oracle Dev Gym class "Getting Started with Table Functions". You can watch it independent of the class, but then you miss out on the tutorials and quizzes! So visit https://devgym.oracle.com/pls/apex/dg/class/getting-started-with-pl-sql-table-functions.html and register for the class! ======================================== Practically Perfect PL/SQL with Steven Feuerstein Copyright © 2018 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
RANKING Functions in SQL SERVER Part I || RANK, DENSE_RANK, NTILE functions in SQL 2014
 
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This video will provide you the details of each RANKING Function in SQL Server 2014.  RANK (Transact-SQL) Returns the rank of each row within the partition of a result set. The rank of a row is one plus the number of ranks that come before the row in question.  Syntax RANK ( ) OVER ( [ partition_by_clause ] order_by_clause )  Arguments OVER ( [ partition_by_clause ] order_by_clause) partition_by_clause divides the result set produced by the FROM clause into partitions to which the function is applied. If not specified, the function treats all rows of the query result set as a single group. order_by_clause determines the order of the data before the function is applied. Theorder_by_clause is required. The rows or range clause of the OVER clause cannot be specified for the RANK function.  Return Types Bigint **********************************************************************************  DENSE_RANK (Transact-SQL) Returns the rank of rows within the partition of a result set, without any gaps in the ranking. The rank of a row is one plus the number of distinct ranks that come before the row in question.  Syntax DENSE_RANK ( ) OVER ( [ partition_by_clause ] order_by_clause )  Arguments partition_by_clause Divides the result set produced by the FROM clause into partitions to which the DENSE_RANK function is applied. For the PARTITION BY syntax, seeOVER Clause (Transact-SQL). order_by_clause Determines the order in which the DENSE_RANK function is applied to the rows in a partition.  Return Types bigint **********************************************************************************  NTILE (Transact-SQL) Distributes the rows in an ordered partition into a specified number of groups. The groups are numbered, starting at one. For each row, NTILE returns the number of the group to which the row belongs.  Syntax NTILE (integer_expression) OVER ( [ partition_by_clause ] order_by_clause )  Arguments integer_expression Is a positive integer constant expression that specifies the number of groups into which each partition must be divided. integer_expression can be of type int, or bigint. partition_by_clause Divides the result set produced by the FROM clause into partitions to which the function is applied. Determines the order in which the NTILE values are assigned to the rows in a partition. An integer cannot represent a column when the is used in a ranking function.  Return Types Bigint  Remarks If the number of rows in a partition is not divisible by integer_expression, this will cause groups of two sizes that differ by one member. Larger groups come before smaller groups in the order specified by the OVER clause. For example if the total number of rows is 53 and the number of groups is five, the first three groups will have 11 rows and the two remaining groups will have 10 rows each. If on the other hand the total number of rows is divisible by the number of groups, the rows will be evenly distributed among the groups. For example, if the total number of rows is 50, and there are five groups, each bucket will contain 10 rows. NTILE is nondeterministic.
Views: 52 Softtech forum
How to find out Highest ,Second highest Third highest salary and Nth highest salary in SQL Server
 
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A Chanel Where you can learn about Computer Information and Technology Like Asp.Net C#,Asp.Net MVC,SQL Server,Bootstrap,Oracle and more Website design. Website : http://www.dawacit.com Facebook : https://www.facebook.com/dawacit05 Twitter : https://twitter.com/dawacit How to send email in ASP.NET C# using Gmail smtp server step by step https://youtu.be/rnQphXehu7g How to send email with attachment in Asp.Net through Gmail smtp server,simple steps https://youtu.be/mhRe_we4hhA How to create Navigation bar in Asp.Net with CSS https://youtu.be/xVgtAdxhIxk How to create website using ASP.NET very attractive design https://youtu.be/uAKWaCl-vK4 How to create login and logout in Asp.Net MVC https://youtu.be/7E8IK_eAsWE
Views: 36425 Dawa CIT
SQL DENSE RANK Function
 
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Video talks about SQL DENSE RANK Function SQL RANK Function Dense rank function in sql rank in sql row number in sql rank() over (partition by order by) dense_rank() over (partition by order by) Step by step SQL Training videos SQL Tutorial More videos at https://www.youtube.com/channel/UCgWvQ6cBxZwABl_hL48ayXg
Views: 482 Training2SQL MSBI
How to use Oracle SQL ROLLUP and CUBE
 
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Learn how the Oracle Database SQL extensions ROLLUP and CUBE provide additional aggregations for your data warehouse data.
Views: 2638 SkillBuilders

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