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SQL Partition By Explained
 
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Using Oracle's SQL, I'll explain how to use Partition By. This will be similar in other SQL engines that have the Partition By keyword.
Views: 31992 Pretty Printed
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: 90523 kudvenkat
T-SQL: Over() and Partition By
 
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Show how to use OVER and PARTITION BY to get groups of data with aggregation.
Views: 8772 MidnightDBA
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: 22824 Tech Coach
Oracle Tutorial - Aggregate Functions AVG | SUM | MIN | MAX | COUNT
 
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Oracle Tutorials - Aggregate Functions avg () Sum () Min () Max () Count ()
Views: 91 Tech Acad
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: 79523 kudvenkat
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: 62143 kudvenkat
ORACLE Analytic Functions for Data Warehousing 2/ Arabic
 
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ORACLE Analytic Functions for Data Warehousing 2/ Arabic FIRST_VALUE last_VALUE row_number() --FIRST_VALUE and LAST_VALUE Analytic Functions select EMPLOYEE_ID, FIRST_NAME, HIRE_DATE from employees order by hire_date; select EMPLOYEE_ID, FIRST_NAME, HIRE_DATE , min(HIRE_DATE) over ( ) first_HIRE_DATE from employees select EMPLOYEE_ID, FIRST_NAME, HIRE_DATE , FIRST_VALUE(HIRE_DATE) over ( ) first_HIRE_DATE from employees order by hire_date; select EMPLOYEE_ID, FIRST_NAME, HIRE_DATE , max(HIRE_DATE ) over ( ) last_HIRE_DATE from employees select EMPLOYEE_ID, FIRST_NAME, HIRE_DATE , last_VALUE(HIRE_DATE ) over ( ) last_HIRE_DATE from employees order by HIRE_DATE drop table student_exam_result; CREATE TABLE student_exam_result (student_id number, exame_name varchar2(100), exame_try number, exame_results number ); insert into student_exam_result values(1,'calcluas',1,50); insert into student_exam_result values(1,'calcluas',2,66); insert into student_exam_result values(1,'calcluas',3,20); insert into student_exam_result values(2,'calcluas',1,66); insert into student_exam_result values(2,'calcluas',2,null); insert into student_exam_result values(2,'calcluas',3,7); insert into student_exam_result values(3,'calcluas',1,50); insert into student_exam_result values(3,'calcluas',2,98); insert into student_exam_result values(3,'calcluas',3,null); select * from student_exam_result select student_id, exame_name,exame_try,exame_results, last_value(exame_results) IGNORE NULLS over (PARTITION BY student_id, exame_name ) last_grade from student_exam_result order by student_id, exame_name, exame_try select student_id, exame_name,exame_try,exame_results, last_value(exame_results) IGNORE NULLS over (PARTITION BY student_id, exame_name ) last_grade, max(exame_results) over (PARTITION BY student_id, exame_name ) max_grade, avg(exame_results) over (PARTITION BY student_id, exame_name ) avg_grade from student_exam_result order by student_id, exame_name, exame_try ------------------------ select employee_id,first_name ,row_number() over(order by employee_id ) from employees select employee_id,first_name ,rownum from employees select employee_id,first_name ,department_id, row_number() over(partition by department_id order by employee_id ) from employees
Views: 702 khaled alkhudari
ORACLESQL14 - group by, over (partition by)
 
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Kod SQL: http://pastebin.com/9aDLJKkf Zapytania agregujące np. liczące, sumujące w grupach np. liczące ludzi w poszczególnych krajach z użyciem group by jak i over ( PARTITION BY)
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: 1335 Query Light
Oracle DENSE_RANK Function
 
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https://www.databasestar.com/oracle-dense_rank/ The Oracle DENSE_RANK function allows you to calculate a rank of a row in a group of rows. It returns this rank as a NUMBER value. This function can be used as either an analytic or an aggregate function, and the syntax depends on how you use it. As an aggregate function it looks like this: DENSE_RANK ( expr, [expr(n)] ) WITHIN GROUP ( ORDER BY (order_expr [ASC|DESC] [NULLS FIRST|LAST] ) These parameters are: - expr: this is the value to search for in a particular table. You can specify multiple search values, and just separate them by a comma. - order_expr: this is used to order the expr values by, because you get a different results depending on what order you rank the values in. - NULLS FIRST or LAST: this is where you can specify if you want to have NULL values appear at the top of your ranking order or at the bottom. As an analytic function, it looks like this: DENSE_RANK() OVER ( [query_partition_clause] order_by_clause) The parameters are: - query_partition_clause: this is the expression that the ranking is “grouped” by, as analytic functions allow you to group data within rows. - order_by_clause: this is the expression to order your results by to determine a rank. For this function, if two records have the same sort or rank position, they will have the same RANK value. It won’t cause a gap in the rankings, unlike the RANK function which does cause a gap. For more information about the Oracle DENSE_RANK function, including all of the SQL shown in this video and the examples, read the related article here: https://www.databasestar.com/oracle-dense_rank/
Views: 440 Database Star
SQL. SUM() OVER. Сумма накопленным итогом и общая сумма по полю.
 
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В видео рассказывается, как посчитать сумму накопленным итогом, а так же общую сумму по полю. P.S. задавайте вопросы в комментариях и высказывайте свое мнение и пожелания
12 of 15 SQL Basics with Oracle - Aggregate (grouping) functions and the GROUP BY clause
 
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This video explains the GROUP BY clause and some of the aggregate functions: sum, count, average, maximum, minimum, count(distinct ...), etc. An example of using an aggregate function would be to group students by major and only show the number of students in each major, not individual student information. (12 of 15) There is also an "Advanced SQL" series. (Search for "databasemec" for tutorials using SQL Server.)
Views: 5566 Jennifer Kreie
oracle set operator union unionall intersect minus
 
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Description: Oracle Interview Question - oracle set operator, union, unionall, intersect, minus List of all the SQL and PLSQL interview questions @ https://easy-learning-tech.blogspot.com/p/oracle-sql-plsql-interview-questions.html
Views: 380 Siva Academy
Advanced SQL Queries in Oracle and SQL Server - What is PARTITION BY?
 
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This video clip, on the PARTITION BY Clause used with analytic functions, is taken from my www.pluralsight.com course "Advanced SQL Queries in Oracle and SQL Server". Click here to learn more about this course: http://www.pluralsight.com/courses/adv-sql-queries-oracle-sql-server?utm_source=youtube&utm_medium=video&utm_campaign=authordemo.
Views: 5456 sheepsqueezersYT
Oracle Analytical functions Sum , Lead , Lag and Avg
 
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This video tutorial explains Oracle Analytical functions further continuing from my previous video. We demonstrate practical usage of these functions with examples. For Software used in the video refer : www.querylight.in
Views: 3038 Query Light
Combined use ORDER BY and PARTITION BY clauses together in Oracle SQL
 
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In this video tutorial we will learn piecing the ORDER BY and PARTITION BY clauses in Oracle SQL
Views: 63 Spod ssppoodd
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: 12751 Kishan Mashru
Part 1   How to find nth highest salary in sql
 
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Link for all dot net and sql server video tutorial playlists http://www.youtube.com/user/kudvenkat/playlists Link for slides, code samples and text version of the video http://csharp-video-tutorials.blogspot.com/2014/05/part-1-how-to-find-nth-highest-salary_17.html This is a very common SQL Server Interview Question. There are several ways of finding the nth highest salary. By the end of this video, we will be able to answer all the following questions as well. How to find nth highest salary in SQL Server using a Sub-Query How to find nth highest salary in SQL Server using a CTE How to find the 2nd, 3rd or 15th highest salary Let's use the following Employees table for this demo Use the following script to create Employees table Create table Employees ( ID int primary key identity, FirstName nvarchar(50), LastName nvarchar(50), Gender nvarchar(50), Salary int ) GO Insert into Employees values ('Ben', 'Hoskins', 'Male', 70000) Insert into Employees values ('Mark', 'Hastings', 'Male', 60000) Insert into Employees values ('Steve', 'Pound', 'Male', 45000) Insert into Employees values ('Ben', 'Hoskins', 'Male', 70000) Insert into Employees values ('Philip', 'Hastings', 'Male', 45000) Insert into Employees values ('Mary', 'Lambeth', 'Female', 30000) Insert into Employees values ('Valarie', 'Vikings', 'Female', 35000) Insert into Employees values ('John', 'Stanmore', 'Male', 80000) GO To find the highest salary it is straight forward. We can simply use the Max() function as shown below. Select Max(Salary) from Employees To get the second highest salary use a sub query along with Max() function as shown below. Select Max(Salary) from Employees where Salary [ (Select Max(Salary) from Employees) To find nth highest salary using Sub-Query SELECT TOP 1 SALARY FROM ( SELECT DISTINCT TOP N SALARY FROM EMPLOYEES ORDER BY SALARY DESC ) RESULT ORDER BY SALARY To find nth highest salary using CTE WITH RESULT AS ( SELECT SALARY, DENSE_RANK() OVER (ORDER BY SALARY DESC) AS DENSERANK FROM EMPLOYEES ) SELECT TOP 1 SALARY FROM RESULT WHERE DENSERANK = N To find 2nd highest salary we can use any of the above queries. Simple replace N with 2. Similarly, to find 3rd highest salary, simple replace N with 3. Please Note: On many of the websites, you may have seen that, the following query can be used to get the nth highest salary. The below query will only work if there are no duplicates. WITH RESULT AS ( SELECT SALARY, ROW_NUMBER() OVER (ORDER BY SALARY DESC) AS ROWNUMBER FROM EMPLOYEES ) SELECT SALARY FROM RESULT WHERE ROWNUMBER = 3
Views: 945401 kudvenkat
Learn Oracle SQL : The Hierarchical Query Clause
 
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http://bit.ly/oracle-sql-course | Get the complete course today. Learn Oracle SQL : The Hierarchical Query Clause: In this video, I show you how to use the Hierarchical Query Clause in Oracle SQL to build a basic hierarchical query. This is an excerpt of the course "The Ultimate Oracle SQL Course" which you can get at a heavily discounted price here: http://bit.ly/oracle-sql-course ================ You can find additional Oracle SQL related articles and educational content in my blog here: http://standout-dev.com/
Views: 8632 Oracle SQL
Oracle COUNT Function
 
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https://www.databasestar.com/oracle-count/ The Oracle COUNT function is used to count the number of rows from the column, or number of values, provided to it. It’s commonly used to find the number of rows returned by a SELECT query. The syntax of the COUNT function is: COUNT ( [ * | [ DISTINCT | ALL ] expression) [ over (analytic_clause) ] There’s a lot of square brackets here, indicating optional parameters and choices. This just means you can use the COUNT function in a few different ways: COUNT(*) COUNT(DISTINCT expression) COUNT(ALL expression) COUNT(*) OVER (analytic_clause) COUNT(DISTINCT expression) OVER (analytic_clause) COUNT(ALL expression) OVER (analytic_clause) It can be used as an aggregate or analytic function. The parameters of the COUNT function are: - expression: The expression to count the values of. This can be a column or a set of values, for example. - analytic_clause: This is used to specify the criteria for an analytic query. COUNT(*) is the most common way to use this function, I’ve found. As COUNT(*) is an aggregate function, like all aggregate functions the columns mentioned in the SELECT clause need to exist in the GROUP BY clause. NULL values are ignored by COUNT(expression), but they are counted when using COUNT(*). COUNT(*) has the exact same calculation and performance as COUNT(1). For more information about the Oracle COUNT function, including all of the SQL shown in this video and the examples, read the related article here: https://www.databasestar.com/oracle-count/
Views: 377 Database Star
ROWID VS ROWNUM IN ORACLE
 
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This Video explains the difference between ROWID and ROWNUM using real project examples. ROWID provides the unique physical address where the row is being stored. ROWNUM indicates the order in which the data was returned from the select query.
Views: 3356 Tech Coach
SQL: Rank & Dense_rank functions
 
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In this tutorial, you'll learn the difference between rank() and dense_rank() functions..
Views: 28040 radhikaravikumar
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: 43228 SQL with Manoj
SQL TOP, RANK, DENSE_RANK, ROW_NUMBER Functions
 
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Jamie King of Neumont University demonstrating various SQL ranking functions.
Views: 23286 Jamie King
SQL Aggregation queries using Group By, Sum, Count and Having
 
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From SQL Queries Joes 2 Pros (Vol2) ch4.1. Learn up to write aggregated queries.
Views: 177806 Joes2Pros SQL Trainings
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: 10635 Kishan Mashru
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: 512 Database by Doug
SQL Tutorial - Window Functions
 
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For the best book on T-SQL click here: https://www.amazon.co.uk/gp/product/0735685045/ref=as_li_tl?ie=UTF8&camp=1634&creative=6738&creativeASIN=0735685045&linkCode=as2&tag=beardeddev-21&linkId=2e450454659d4279f54dd188d24bc011 Another fantastic SQL Tutorial brought to you by BeardedDev. In this video we begin to explore Window Functions and their purpose within SQL Server. Window Functions are used for performing data analysis calculations and address an important need compared to the GROUP BY clause that we are able to return the underlying data in the same query. This video shows an example of the differences between the GROUP BY clause and Window Functions. 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 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. Code: WITH CTE AS ( SELECT Sales_Id , SUM(Line_Total) AS Total FROM Sales_Details GROUP BY Sales_Id ) SELECT * FROM CTE AS A INNER JOIN Sales_Details AS B ON A.Sales_Id = B.Sales_Id SELECT Sales_Id , Sales_Date , Item , Price , Quantity , Line_Total , COUNT(Line_Total) OVER(PARTITION BY Sales_Id) AS Line_Count , SUM(Line_Total) OVER(PARTITION BY Sales_Id) AS Sales_Total , SUM(Line_Total) OVER(PARTITION BY Sales_Date) AS Daily_Total , SUM(Line_Total) OVER() AS Total FROM Sales_Details ORDER BY Sales_Total
Views: 12240 BeardedDev
Oracle SQL Loader - Introduction - Tutorial -1
 
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This video is the first tutorial on Oracle SQL*Loader utility. This video gives the introduction and helps in understanding the concept behind Oracle SQL Loader. Why it should be used and the advantages of using it. SQL Loader is a bulk loader utility used for moving data from external files into the Oracle database tables. In this video we look at the overview of Oracle SQL Loader, we look at the complete flow of the process. It's basically a Conceptual introduction to the SQL Loader utility. What you will learn in this video 1. What is SQL Loader? 2. You will get an understanding on the Components of SQL Loader like control file, Log file, Discard File and Bad file. 3. Complete flow of the process. Visit the other videos on the same : Second video visit https://youtu.be/ogidUWHHRL8 Third video visit https://youtu.be/yD_CL_cf8tQ Check out the advantages of using TRUNCATE over a DELETE from the following video: Delete VS Truncate : https://youtu.be/u76wMm2byXo #KishanMashru #Oracle #SqlLoader #SqlLoaderConcept #SqlLoaderIntroduction #SQLandPLSQL #OracleSqlLoader #ETL #database
Views: 933 Kishan Mashru
Part 6   Transform rows into columns in sql server
 
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Link for all dot net and sql server video tutorial playlists http://www.youtube.com/user/kudvenkat/playlists Link for slides, code samples and text version of the video http://csharp-video-tutorials.blogspot.com/2014/06/part-6-transform-rows-into-columns-in.html This is another common sql server interview question. We will be using Countries table in this example. SQL to create the table Create Table Countries ( Country nvarchar(50), City nvarchar(50) ) GO Insert into Countries values ('USA','New York') Insert into Countries values ('USA','Houston') Insert into Countries values ('USA','Dallas') Insert into Countries values ('India','Hyderabad') Insert into Countries values ('India','Bangalore') Insert into Countries values ('India','New Delhi') Insert into Countries values ('UK','London') Insert into Countries values ('UK','Birmingham') Insert into Countries values ('UK','Manchester') Here is the interview question. Write a sql query to transpose rows to columns. Using PIVOT operator we can very easily transform rows to columns. Select Country, City1, City2, City3 From ( Select Country, City, 'City'+ cast(row_number() over(partition by Country order by Country) as varchar(10)) ColumnSequence from Countries ) Temp pivot ( max(City) for ColumnSequence in (City1, City2, City3) ) Piv
Views: 199535 kudvenkat
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: 2731 Kishan Mashru
OVER clause in Oracle Database
 
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OVER clause in Oracle
Views: 49 Adam Tech
Let's Learn SQL! Lesson 68 : The Partition By and Qualify Statements in RANK
 
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Explore SQL with Tom Coffing of Coffing Data Warehousing! In this lesson, learn about using Partition By and Qualify with the Rank Command!
SQL: Analytical Functions
 
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In this tutorial, you'll learn how to use the analytical functions..
Views: 37516 radhikaravikumar
SQL: pseudo columns (Rowid/Rownum)
 
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In this tutorial, u'll learn the difference between rowid & rownum..
Views: 31598 radhikaravikumar
SQL Tutorial - Window Functions - Calculate Running Totals, Averages
 
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For the best book on T-SQL click here: https://www.amazon.co.uk/gp/product/0735685045/ref=as_li_tl?ie=UTF8&camp=1634&creative=6738&creativeASIN=0735685045&linkCode=as2&tag=beardeddev-21&linkId=2e450454659d4279f54dd188d24bc011 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 learn how to use Window Functions to calculate running totals and running averages. This video teaches about Window Frames: Rows Range Preceding Current Row Following Window Frames are a filtered portion of a partition. Window Functions were first introduced in SQL Server 2005 but further enhancements and support was added in SQL Server 2012. 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. SQL: SELECT Sales_Id , Sales_Date , Sales_Total , SUM(Sales_Total) OVER(ORDER BY Sales_Date ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS [Running Total] FROM dbo.Sales_2 WHERE Sales_Cust_Id = 3 ORDER BY Sales_Date SELECT Sales_Id , Sales_Date , Sales_Total , SUM(Sales_Total) OVER(ORDER BY Sales_Date ROWS BETWEEN 1 PRECEDING AND CURRENT ROW) AS [Running Total] FROM dbo.Sales_2 WHERE Sales_Cust_Id = 3 ORDER BY Sales_Date SELECT Sales_Id , Sales_Date , Sales_Total , SUM(Sales_Total) OVER(ORDER BY Sales_Date ROWS BETWEEN 2 PRECEDING AND CURRENT ROW) AS [Running Total] FROM dbo.Sales_2 WHERE Sales_Cust_Id = 3 ORDER BY Sales_Date SELECT Sales_Id , Sales_Date , Sales_Total , SUM(Sales_Total) OVER(ORDER BY Sales_Date ROWS UNBOUNDED PRECEDING) AS [Running Total] FROM dbo.Sales_2 WHERE Sales_Cust_Id = 3 ORDER BY Sales_Date SELECT Sales_Id , Sales_Date , Sales_Total , SUM(Sales_Total) OVER(ORDER BY Sales_Date ROWS UNBOUNDED PRECEDING) AS [Running Total] , CAST(AVG(Sales_Total) OVER(ORDER BY Sales_Date ROWS UNBOUNDED PRECEDING) AS DECIMAL(8, 2)) AS [Running Average] FROM dbo.Sales_2 WHERE Sales_Cust_Id = 3 ORDER BY Sales_Date
Views: 3654 BeardedDev
SQL:Max/Min Functions
 
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In this tutorial, you'll learn how to use max min functions in sql queries. PL/SQL (Procedural Language/Structured Query Language) is Oracle Corporation's procedural extension for SQL and the Oracle relational database. PL/SQL is available in Oracle Database (since version 7), TimesTen in-memory database (since version 11.2.1), and IBM DB2 (since version 9.7).[1] Oracle Corporation usually extends PL/SQL functionality with each successive release of the Oracle Database. PL/SQL includes procedural language elements such as conditions and loops. It allows declaration of constants and variables, procedures and functions, types and variables of those types, and triggers. It can handle exceptions (runtime errors). Arrays are supported involving the use of PL/SQL collections. Implementations from version 8 of Oracle Database onwards have included features associated with object-orientation. One can create PL/SQL units such as procedures, functions, packages, types, and triggers, which are stored in the database for reuse by applications that use any of the Oracle Database programmatic interfaces. PL/SQL works analogously to the embedded procedural languages associated with other relational databases. For example, Sybase ASE and Microsoft SQL Server have Transact-SQL, PostgreSQL has PL/pgSQL (which emulates PL/SQL to an extent), and IBM DB2 includes SQL Procedural Language,[2] which conforms to the ISO SQL’s SQL/PSM standard. The designers of PL/SQL modeled its syntax on that of Ada. Both Ada and PL/SQL have Pascal as a common ancestor, and so PL/SQL also resembles Pascal in several aspects. However, the structure of a PL/SQL package does not resemble the basic Object Pascal program structure as implemented by a Borland Delphi or Free Pascal unit. Programmers can define public and private global data-types, constants and static variables in a PL/SQL package.[3] PL/SQL also allows for the definition of classes and instantiating these as objects in PL/SQL code. This resembles usage in object-oriented programming languages like Object Pascal, C++ and Java. PL/SQL refers to a class as an "Abstract Data Type" (ADT) or "User Defined Type" (UDT), and defines it as an Oracle SQL data-type as opposed to a PL/SQL user-defined type, allowing its use in both the Oracle SQL Engine and the Oracle PL/SQL engine. The constructor and methods of an Abstract Data Type are written in PL/SQL. The resulting Abstract Data Type can operate as an object class in PL/SQL. Such objects can also persist as column values in Oracle database tables. PL/SQL is fundamentally distinct from Transact-SQL, despite superficial similarities. Porting code from one to the other usually involves non-trivial work, not only due to the differences in the feature sets of the two languages,[4] but also due to the very significant differences in the way Oracle and SQL Server deal with concurrency and locking. There are software tools available that claim to facilitate porting including Oracle Translation Scratch Editor,[5] CEITON MSSQL/Oracle Compiler [6] and SwisSQL.[7] The StepSqlite product is a PL/SQL compiler for the popular small database SQLite. PL/SQL Program Unit A PL/SQL program unit is one of the following: PL/SQL anonymous block, procedure, function, package specification, package body, trigger, type specification, type body, library. Program units are the PL/SQL source code that is compiled, developed and ultimately executed on the database. The basic unit of a PL/SQL source program is the block, which groups together related declarations and statements. A PL/SQL block is defined by the keywords DECLARE, BEGIN, EXCEPTION, and END. These keywords divide the block into a declarative part, an executable part, and an exception-handling part. The declaration section is optional and may be used to define and initialize constants and variables. If a variable is not initialized then it defaults to NULL value. The optional exception-handling part is used to handle run time errors. Only the executable part is required. A block can have a label. Package Packages are groups of conceptually linked functions, procedures, variables, PL/SQL table and record TYPE statements, constants, cursors etc. The use of packages promotes re-use of code. Packages are composed of the package specification and an optional package body. The specification is the interface to the application; it declares the types, variables, constants, exceptions, cursors, and subprograms available. The body fully defines cursors and subprograms, and so implements the specification. Two advantages of packages are: Modular approach, encapsulation/hiding of business logic, security, performance improvement, re-usability. They support object-oriented programming features like function overloading and encapsulation. Using package variables one can declare session level (scoped) variables, since variables declared in the package specification have a session scope.
Views: 4575 radhikaravikumar
Part 4   Delete duplicate rows in sql
 
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Link for all dot net and sql server video tutorial playlists http://www.youtube.com/user/kudvenkat/playlists Link for slides, code samples and text version of the video http://csharp-video-tutorials.blogspot.com/2014/05/part-4-delete-duplicate-rows-in-sql.html In this video, we will discuss deleting all duplicate rows except one from a sql server table. SQL Script to create Employees table Create table Employees ( ID int, FirstName nvarchar(50), LastName nvarchar(50), Gender nvarchar(50), Salary int ) GO Insert into Employees values (1, 'Mark', 'Hastings', 'Male', 60000) Insert into Employees values (1, 'Mark', 'Hastings', 'Male', 60000) Insert into Employees values (1, 'Mark', 'Hastings', 'Male', 60000) Insert into Employees values (2, 'Mary', 'Lambeth', 'Female', 30000) Insert into Employees values (2, 'Mary', 'Lambeth', 'Female', 30000) Insert into Employees values (3, 'Ben', 'Hoskins', 'Male', 70000) Insert into Employees values (3, 'Ben', 'Hoskins', 'Male', 70000) Insert into Employees values (3, 'Ben', 'Hoskins', 'Male', 70000) The delete query should delete all duplicate rows except one. Here is the SQL query that does the job. PARTITION BY divides the query result set into partitions. WITH EmployeesCTE AS ( SELECT *, ROW_NUMBER()OVER(PARTITION BY ID ORDER BY ID) AS RowNumber FROM Employees ) DELETE FROM EmployeesCTE WHERE RowNumber ] 1
Views: 349913 kudvenkat
Calculate running total in SQL Server 2012
 
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running total sql server cumulative total in ms sql server running total column In this video we will discuss how to calculate running total in SQL Server 2012 and later versions. We will use the following Employees table for the examples in this video. 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 SQL Query to compute running total without partitions SELECT Name, Gender, Salary, SUM(Salary) OVER (ORDER BY ID) AS RunningTotal FROM Employees SQL Query to compute running total with partitions SELECT Name, Gender, Salary, SUM(Salary) OVER (PARTITION BY Gender ORDER BY ID) AS RunningTotal FROM Employees What happens if I use order by on Salary column If you have duplicate values in the Salary column, all the duplicate values will be added to the running total at once. In the example below notice that we have 5000 repeated 3 times. So 15000 (i.e 5000 + 5000 + 5000) is added to the running total at once. SELECT Name, Gender, Salary, SUM(Salary) OVER (ORDER BY Salary) AS RunningTotal FROM Employees So when computing running total, it is better to use a column that has unique data in the ORDER BY clause. Text version of the video http://csharp-video-tutorials.blogspot.com/2015/10/calculate-running-total-in-sql-server.html Slides http://csharp-video-tutorials.blogspot.com/2015/10/calculate-running-total-in-sql-server_3.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: 57154 kudvenkat
SQL in Oracle 11g Tutorial #11: Aggregate Function(MAX,MIN,SUM,AVG,STDDEV,VARIANCE) in SQL
 
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SQL in Oracle 11g Tutorial #11: Aggregate Function(MAX,MIN,SUM,AVG,STDDEV,VARIANCE) in SQL. Thanks for Watching my Channel “Learn TechToTech”. Please subscribe my channel for getting first updates after uploading video.Social Media pages of Channel are: 1. My Website : www.learnfromrakesh.com 2. My Twitter: https://twitter.com/LearnTechtotech 3. Facebook Page: https://www.facebook.com/LearnTechToTech 4. Blogger : https://learntechtotech.blogspot.in/ 5. Google+ : https://learntechtotech.blogspot.in/ 6. Pinterest : https://in.pinterest.com/LearnTechToTech/ 7. LinkedIn: https://www.linkedin.com/in/Learntechtotech/ Playlist of Different Technology: 1. Operating System : https://goo.gl/q6SfrW 2. Python Programming Language : https://goo.gl/L8b5dc 3. C Language : https://goo.gl/SwvDu9 4. C language for Placement: https://goo.gl/AaQBa4 5. Java: https://goo.gl/M8F2uy 6. MySql : https://goo.gl/vdJbHQ 7. Android Mobile Application Development: https://goo.gl/M6woaT 8. Kotlin Programming Language : https://goo.gl/GXE5cd 9. Go Programming: https://goo.gl/Ua3xYW 10. Internet of Things(IoT): https://goo.gl/f2afkY 11. Oracle 11g : https://goo.gl/zds8r2 12. C++ : https://goo.gl/C1psMT
Views: 83 Learn TechToTech
Rows Unbounded Preceding, Following in SQL Server
 
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Click here to Subscribe to IT PORT Channel : https://www.youtube.com/channel/UCMjmoppveJ3mwspLKXYbVlg From SQL Server 2012, This feature enabled to OVER BY Windowing Functions The ROWS limits the rows within a partition by specifying a fixed number of rows preceding or following the current row. Preceding and following rows are defined based on the ordering in the ORDER BY clause ROWS BETWEEN 1 PRECEDING AND CURRENT ROW – Aggregates 2 Between Last Row and Current Row ROWS BETWEEN CURRENT ROW AND 1 FOLLOWING – Aggregates 2 Current Row and Next Row ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW – Aggregates all Rows before Current Row with Current Row ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING – Aggregates all the Rows After Current Row With Current Row ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING – Aggregates all Rows
Views: 1499 IT Port
Sql Analytical Function In Pandas: Partition BY, Row Over, Lead and Lag, Top N Rows
 
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This Tutorial explains the SQL like analytical function in Pandas like ranking rows with in a group Partition by row over(), lead and lag function etc.
Let's Learn SQL! Lesson 70 : What is the Percent_Rank Over Statement?
 
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Explore SQL with Tom Coffing of Coffing Data Warehousing! In this lesson, learn about the Percent_Rank Over statement in Rank!
UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING & CURRENT ROW || SQL Server Tutorials
 
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This video shows What is ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING,how to display running totals , how to use current row ,1 preceding and 1 following
Views: 523 naveen kumar
SQL Server Aggregate functions and the OVER clause
 
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Follow the Books: http://amzn.to/1RjjJCf SQL Server Training for the Microsoft 70-461 exam. This session includes Aggregate functions and the windowing functions (OVER, PARTITION BY). Slides and scripts available at: www.AaronBuma.com
Views: 3911 Aaron Buma
how to get highest salary in each department
 
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highest salary in each department oracle highest salary in each department sql highest salary in each department db2 How to select highest salary from each department how to get highest salary in each department sql server interview questions answers
Views: 4035 DotNet Techy
SQL Scenario 1
 
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Scripts to test CREATE TABLE PEOPLE_DETAILS ( NAME VARCHAR(100), OCCUPATION VARCHAR(100) ); INSERT INTO PEOPLE_DETAILS VALUES ('SAMANTHA' , 'DOCTOR'); INSERT INTO PEOPLE_DETAILS VALUES ('JULIA' , 'ACTOR'); INSERT INTO PEOPLE_DETAILS VALUES ('MARIA' , 'ACTOR'); INSERT INTO PEOPLE_DETAILS VALUES ('MEERA' , 'SINGER'); INSERT INTO PEOPLE_DETAILS VALUES ('ASHLEY' , 'PROFESSOR'); INSERT INTO PEOPLE_DETAILS VALUES ('KETTY' , 'PROFESSOR'); INSERT INTO PEOPLE_DETAILS VALUES ('CHRISTEEN' , 'PROFESSOR'); INSERT INTO PEOPLE_DETAILS VALUES ('JANE' , 'ACTOR'); INSERT INTO PEOPLE_DETAILS VALUES ('JENNY' , 'DOCTOR'); INSERT INTO PEOPLE_DETAILS VALUES ('PRIYA' , 'SINGER'); COMMIT; SELECT * FROM PEOPLE_DETAILS; SELECT CASE WHEN OCCUPATION = 'DOCTOR' THEN NAME END AS NAME1, CASE WHEN OCCUPATION = 'PROFESSOR' THEN NAME END AS NAME2, CASE WHEN OCCUPATION = 'SINGER' THEN NAME END AS NAME3, CASE WHEN OCCUPATION = 'ACTOR' THEN NAME END AS NAME4, RANK() OVER (PARTITION BY OCCUPATION ORDER BY NAME)RN FROM PEOPLE_DETAILS; SELECT MAX(NAME1),MAX(NAME2),MAX(NAME3),MAX(NAME4) FROM ( SELECT CASE WHEN OCCUPATION = 'DOCTOR' THEN NAME END AS NAME1, CASE WHEN OCCUPATION = 'PROFESSOR' THEN NAME END AS NAME2, CASE WHEN OCCUPATION = 'SINGER' THEN NAME END AS NAME3, CASE WHEN OCCUPATION = 'ACTOR' THEN NAME END AS NAME4, RANK() OVER (PARTITION BY OCCUPATION ORDER BY NAME)RN FROM PEOPLE_DETAILS) GROUP BY RN ORDER BY RN;
Views: 7313 raj raj
Oracle SQL MEDIAN Function Examples and Guide
 
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https://www.databasestar.com/median-mean-mode-in-oracle/ In this video, you’ll learn what the term “median” means, and how to generate an Oracle SQL median value. What is median? It’s the middle value in a list of values, after the values have been sorted in ascending order. It’s kind of like an average, but it’s different, as the average finds the total of the values divided by the number of values and will often not be one of the values in the list. Median will usually be the value in the list that is the middle point. So, how can you calculate the median in Oracle SQL? We use a function called MEDIAN. And in this video, I’ll show you how to use the function and see some examples. For more information on the MEDIAN function, including the SQL used in this video, read the related article here: https://www.databasestar.com/median-mean-mode-in-oracle/
Views: 295 Database Star
Row number SQL | Row number function in SQL server
 
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https://betechnical.blog/ Row number SQL Row number function in SQL server Hello everyone, today I am going to discuss the Row_number feature in SQL server. what is Row_Number()? Row_Number is used to generate the number of each row dynamically in a sequential order based on some column orders. Row_Number() must be used with order by clause, without order by we can not use the Row_Nuber function. Row_Number() over(order by EmpName) as RowNumber Generate unique Id for each row dynamically: – In case if the table does not have a primary key or any unique identification number. you can use Row_Number to provide the unique ID for a table. select Row_Number() over(Order by EmailId) as Id, EmailId,FirstName,LastName from Employee
Views: 1232 Beetechnical