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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: 35119 Pretty Printed
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.
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: 95219 kudvenkat
What the PARTITION BY clause does in Analytic Functions Oracle SQL
 
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In this tutorial video we will learn how to use PARTITION BY clause in Analytic Functions Oracle SQL
Views: 2123 Spod ssppoodd
SQL with Oracle 10g XE - Using the COUNT and SUM Functions
 
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In this video I use the COUNT and SUM functions available to the SQL language. I used the COUNT function to add up the number of records in my query. This function works well with all data types and will just count the number or records that result from the conditions of your query. The SUM function will add up the numeric values and produce a total amount of a column. When using a function be sure to use parenthesis around the column you are performing the function on. This video is part of a series of videos with the purpose of learning the SQL language. For more information visit Lecture Snippets at http://lecturesnippets.com.
Views: 8106 Lecture Snippets
Oracle LISTAGG Function
 
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https://www.databasestar.com/oracle-listagg/ The Oracle LISTAGG function allows you to aggregate or combine string values from multiple rows into a single row. For example, it turns this data: FIRST_NAME Adam Brad Carrie Into this data: FIRST_NAME Adam, Brad, Carrie The same data is shown, but it’s in one row and not multiple. It’s a valuable string manipulation function, and once you know what it is and how it works, you’ll be able to use it in your queries as needed. So what does it look like? The function is: LISTAGG ( measure_expr [, delimiter]) WITHIN GROUP (order_by_clause) [OVER query_partition_clause] These parameters are: measure_expr: This is a column or expression that you want to concatenate the values of. In the example above, it was the first_name column. Mandatory. delimiter: This is the character between each of the measure_expr values. Optional, the default is a comma. order_by_clause: This is the order that the values from the measure_expr are listed. Mandatory. query_partition_clause: This allows you to use LISTAGG as an analytic function, allowing you to show LISTAGG in groups for different rows. One thing to be aware of is that the output of the Oracle LISTAGG function is limited to 4,000 bytes. If you get more than this, you’ll receive an error. The most common way around this that I’ve seen is to write a custom function and use a CLOB. Watch the video to find out more and see some examples. For more information about the Oracle LISTAGG function, including all of the SQL shown in this video and the examples, read the related article here: https://www.databasestar.com/oracle-listagg/
Views: 3345 Database Star
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: 10068 MidnightDBA
Oracle Partition By clause, Oracle Analytic Functions tutorial
 
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Oracle Analytic Functions and Over By Partition clause enable calculating cumulative and moving aggregates returning multiple rows for each group
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
Oracle 12C New Feature Listagg function improvements
 
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oracle 12c new features Queries used in the video are given in the blog link http://easy-learning-tech.blogspot.in/2018/04/oracle-12c-new-feature-listagg-function.html oracle 12c new features for developers
Views: 1553 Siva Academy
Running Sum using Oracle
 
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Running Sum using Oracle
Views: 1555 CONNECT TO LEARN
02 How to configure Rang partition In oracle database
 
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Now a days enterprises run databases of hundred of Gigabytes in size. These databases are known as Very Large Databases (VLDB). From Oracle Ver. 8.0 Oracle has provided the feature of table partitioning i.e. you can partition a table according to some criteria . For example you have a SALES table with the following structure Suppose this table contains millions of records, but all the records belong to four years only i.e. 1991, 1992, 1993 and 1994. And most of the time you are concerned about only one year i.e. you give queries like the following select sum(amt) from sales where year=1991; select product,sum(amt) from sales where year=1992 Group by product; Now whenever you give queries like this Oracle will search the whole table. If you partition this table according to year, then the performance is improve since oracle will scan only a single partition instead of whole table. This type of partitioning is useful when dealing with data that has logical ranges into which it can be distributed; for example, value of year. Performance is best when the data evenly distributes across the range
Views: 1951 Md Arshad
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: 158552 Michael Fudge
Table Partitioning in Oracle Sql|Hash Partitioning|Range Partitioning|List Partitioning|Partitioning
 
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Year-to-Date using Partition By with Windowing - SQL Training Online
 
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You can use the Partition By Function in SQL Server to get a Year-to-Date and Month-to_Date calculation. In this video I show you how to create a Year-to-Date value using the Windowing Partition By Function in TSQL. READ THE ORIGINAL ARTICLE WITH SQL SCRIPTS HERE http://www.sqltrainingonline.com/year-to-date-using-the-partition-by-function-with-windowing-in-sql-server/ YOUTUBE NEWS UPDATES http://www.youtube.com/user/sqltrainingonline VISIT SQLTRAININGONLINE.COM FOR TONS MORE VIDEO NEWS & TIPS http://www.sqltrainingonline.com SUBSCRIBE FOR OTHER SQL TIPS AND NEWS! http://www.youtube.com/subscription_center?add_user=sqltrainingonline SUBSCRIBE TO OUR EMAIL LIST! http://www.sqltrainingonline.com LET'S CONNECT! Google+: http://gplus.to/SQLTrainingOnline Facebook: http://facebook.com/SQLTrainingOnline Twitter: http://twitter.com/sql_by_joey Linkedin: http://linkedin.com/in/joeyblue SQLTrainingOnline: http://www.sqltrainingonline.com
Views: 3483 Joey Blue
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: 27072 Tech Coach
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: 3083 Query Light
ORACLE Analytic Functions for Data Warehousing 1/ Arabic
 
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ORACLE Analytic Functions for Data Warehousing 1/ Arabic --analytic functions allow developers to perform tasks in SQL that were previously confined to procedural languages. -- let's start by aggregate functions ( sum, avg, count,...) select * from EMPLOYEES; select avg(salary) from employees; select DEPARTMENT_ID, avg(salary) from employees group by DEPARTMENT_ID order by 1 /* Analytic functions also operate on subsets of rows, similar to aggregate functions in GROUP BY queries, but they do not reduce the number of rows returned by the query */ select avg(salary) from employees; select employee_id, first_name,salary,(select avg(salary) from employees) avg_sal from EMPLOYEES; --analytic_function([ arguments ]) OVER (analytic_clause) --The analytic_clause breaks down into the following optional elements. --[ query_partition_clause ] [ order_by_clause [ windowing_clause ] ] select employee_id, first_name,salary, avg(salary) over() avg_sal from EMPLOYEES; select employee_id, first_name,salary, avg(salary) over( order by EMPLOYEE_ID ) from EMPLOYEES; select DEPARTMENT_ID, avg(salary) from employees group by DEPARTMENT_ID order by 1 select employee_id, first_name,salary,DEPARTMENT_ID, avg(salary) over(PARTITION BY DEPARTMENT_ID) avg_sal_dept from EMPLOYEES; select employee_id, first_name,salary,DEPARTMENT_ID, avg(salary) over(PARTITION BY DEPARTMENT_ID order by employee_id ) from EMPLOYEES drop table concan_card; create table concan_card ( rec_serial number primary key, game_name varchar2(100), game_round number, player_name varchar2(100), game_round_score number ); insert into concan_card values(1,'GAME1',1,'ahmed', -60); insert into concan_card values(2,'GAME1',1,'khaled', 200); insert into concan_card values(3,'GAME1',1,'ali', 30); insert into concan_card values(4,'GAME1',2,'ahmed', 10); insert into concan_card values(5,'GAME1',2,'khaled', -30); insert into concan_card values(6,'GAME1',2,'ali', 100); insert into concan_card values(7,'GAME1',3,'ahmed', -30); insert into concan_card values(8,'GAME1',3,'khaled', 100); insert into concan_card values(9,'GAME1',3,'ali', 6); select * from concan_card select rec_serial,game_name ,game_round,player_name, game_round_score, sum(game_round_score) over ( PARTITION BY player_name order by player_name,game_round ) from concan_card select rec_serial,game_name ,game_round,player_name, game_round_score, sum(game_round_score) over ( PARTITION BY player_name order by rec_serial ) from concan_card select rec_serial,game_name ,game_round,player_name, game_round_score, sum(game_round_score) over ( PARTITION BY game_name,player_name order by rec_serial ) from concan_card insert into concan_card values(10,'GAME2',1,'ahmed', -60); insert into concan_card values(11,'GAME2',1,'khaled', 200); insert into concan_card values(12,'GAME2',1,'ali', 30); insert into concan_card values(13,'GAME2',2,'ahmed', 10); insert into concan_card values(14,'GAME2',2,'khaled', -30); insert into concan_card values(15,'GAME2',2,'ali', 100); insert into concan_card values(16,'GAME2',3,'ahmed', -30); insert into concan_card values(17,'GAME2',3,'khaled', 100); insert into concan_card values(18,'GAME2',3,'ali', 6); select rec_serial,game_name ,game_round,player_name, game_round_score, sum(game_round_score) over ( PARTITION BY player_name order by player_name,game_round ) from concan_card select rec_serial,game_name ,game_round,player_name, game_round_score, sum(game_round_score) over ( PARTITION BY player_name order by rec_serial ) from concan_card select rec_serial,game_name ,game_round,player_name, game_round_score, sum(game_round_score) over ( PARTITION BY game_name,player_name order by rec_serial ) from concan_card
Views: 5593 khaled alkhudari
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: 46592 SQL with Manoj
PL-SQL tutorial 16 - How to calculate sum of sal column
 
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Hello friends today i'm going to explain to you how to calculate total sum of sal column using deptno Oracle database Unbeatable,Unbreakable Platform..
Views: 2085 Oracle World
LISTAGG Function in Oracle Database
 
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listagg in oracle 10g opposite of listagg in oracle oracle listagg distinct oracle listagg multiple columns oracle listagg limit
Views: 141 Adam Tech
What is a PARTITION in Oracle? Why to use Partition And Types of Partitions
 
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Hi guys in my today scenario I'm going to explain with you What is a PARTITION in Oracle? #WhatisPARTITION Why to use Partition And Types of Partitions Oracle database Unbeatable,Unbreakable Platform..
Views: 23852 Oracle World
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: 60085 kudvenkat
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: 14599 BeardedDev
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: 4447 BeardedDev
Row Number function in SQL Server
 
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sql server row_number example sql server row number by partition sql server row_number over partition by order by In this video we will discuss Row_Number function in SQL Server. This is continuation to Part 108. Please watch Part 108 from SQL Server tutorial before proceeding. Row_Number function Introduced in SQL Server 2005 Returns the sequential number of a row starting at 1 ORDER BY clause is required PARTITION BY clause is optional When the data is partitioned, row number is reset to 1 when the partition changes Syntax : ROW_NUMBER() OVER (ORDER BY Col1, Col2) Row_Number function without PARTITION BY : In this example, data is not partitioned, so ROW_NUMBER will provide a consecutive numbering for all the rows in the table based on the order of rows imposed by the ORDER BY clause. SELECT Name, Gender, Salary, ROW_NUMBER() OVER (ORDER BY Gender) AS RowNumber FROM Employees Please note : If ORDER BY clause is not specified you will get the following error The function 'ROW_NUMBER' must have an OVER clause with ORDER BY Row_Number function with PARTITION BY : In this example, data is partitioned by Gender, so ROW_NUMBER will provide a consecutive numbering only for the rows with in a parttion. When the partition changes the row number is reset to 1. SELECT Name, Gender, Salary, ROW_NUMBER() OVER (PARTITION BY Gender ORDER BY Gender) AS RowNumber FROM Employees Use case for Row_Number function : Deleting all duplicate rows except one from a sql server table. Discussed in detail in Part 4 of SQL Server Interview Questions and Answers video series. Text version of the video http://csharp-video-tutorials.blogspot.com/2015/09/rownumber-function-in-sql-server.html Slides http://csharp-video-tutorials.blogspot.com/2015/09/rownumber-function-in-sql-server_30.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: 90014 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: 65554 kudvenkat
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: 11812 Kishan Mashru
SQL TOP, RANK, DENSE_RANK, ROW_NUMBER Functions
 
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Jamie King of Neumont University demonstrating various SQL ranking functions.
Views: 23966 Jamie King
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: 782 khaled alkhudari
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: 186013 Joes2Pros SQL Trainings
Tutorial#53  Count and Sum  Aggregate Function in Oracle SQL Database| Group by Function in SQL
 
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Explaining How to get Count and Sum Value in Oracle Database in others words what is the aggregate function in Oracle or what are the types of aggregate function in SQL An Aggregate function is a function where the values of multiple rows are grouped together to form a single value of more significant meaning or measurements such as a set, a bag or a list or Aggregate Function in Oracle SQL Database or Aggregate Function in SQL or How to use Count and sum Aggregate Function in Oracle or Types of Aggregate function in SQL Assignment: Assignment link will be available soon: SQL basics, create table oracle, SQL functions, SQL queries, SQL server, SQL developer installation, Oracle database installation, SQL Statement, OCA, Data Types, Types of data types, SQL Logical Operator, SQL Function,Join- Inner Join, Outer join, right outer join, left outer join, full outer join, self-join, cross join, View, SubQuery, Set Operator. Follow me on: Facebook Page: https://www.facebook.com/LrnWthr-319371861902642/?ref=bookmarks Contacts Email: [email protected] Instagram: https://www.instagram.com/equalconnect/ Twitter: https://twitter.com/LrnWthR
Views: 59 EqualConnect Coach
Lec-55: SQL Aggregate Functions - SUM, AVG(n), COUNT, MIN, MAX Functions | DBMS
 
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Lecture By: Mr. Varun Singla Facebook page link : https://www.facebook.com/gatesmashers/
Views: 43117 Gate Smashers
PL/SQL Tutorial 6 (Oracle): Sum Command
 
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PL/SQL Tutorial 6 (Oracle): Sum Command In this tutorial I show you how to use the sum command in PL/SQL. It's used to sum numbers in your data tables. Source Code: https://github.com/mitchtabian/SQL-tutorials Subscribe to my Blog and YouTube channel to get notifications when new FREE coding tutorials are posted! Blog: http://www.codingwithmitch.com/
Views: 146 CodingWithMitch
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: 516 Database Star
Over Partition in SQL Server
 
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Una breve explicación del uso del Over Partition en Sql Server. Síguenos en: FanPage: www.facebook.com/KaizenForce Blog : www.kaizen-force.com
Views: 3655 Kaizen Force
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: 74656 SQL with Manoj
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: 26513 SkillBuilders
OVER clause in Oracle Database
 
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OVER clause in Oracle
Views: 62 Adam Tech
ORDER BY Clause in Oracle | Oracle Tutorials for Beginners
 
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Oracle Tutorials for Beginners ORDER BY Clause In Oracle ORDER BY Clause in SQL Oracle Tutorials for Beginners Oracle SQL Introduction #Oracle Tutorisla for Beginners Oracle for Beginners Oracle plsql tutorial for Beginners Oracle plsql tutorial for Beginners Oracle plsql tutorial for Beginners ORDER BY in Oracle SQL ORDER BY in Oracle SQL ORDER BY in Oracle SQL NULLS FIRST in Oracle NULLS FIRST in Oracle NULLS LAST in Oracle NULLS LAST in Order by Clause how order by clause works in oracle oracle order by date oracle sort varchar2 alphabetically oracle order by case multiple columns oracle sql order by specific values order by in oracle w3schools sql order by multiple columns oracle order by column not in select order by in oracle w3schools oracle order by multiple columns oracle sql order by specific values how order by clause works in oracle oracle order by date oracle order by group by sql order by alphabetical order by sql
Views: 634 Oracle PL/SQL World
Analytics: 11 Window clause examples
 
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blog: https://connor-mcdonald.com Welcome to the KISS video series. Solving problems that typically required complicated SQL in the past, that can now be easily solved with Analytic SQL syntax. In this session, we look at more examples with the window clause. The sample problem we'll solve is: Use the WINDOW clause to sum across 1 row either side of the current row. Scripts: https://livesql.oracle.com/apex/livesql/file/content_CQXSUXL3VBUVDY45G4ASDXXI6.html
Views: 595 Connor McDonald
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: 1351 Query Light
SQL with Oracle 10g XE - Using GROUP BY to Group Results of a Query
 
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In this video I use the GROUP BY clause to organize the results of a function by groups or categories. If you are looking to run a function on a column and have those results grouped together then you will need to use the GROUP BY clause to run the query. This video is part of a series of videos with the purpose of learning the SQL language. For more information visit Lecture Snippets at http://lecturesnippets.com.
Views: 5790 Lecture Snippets
SQL, oracle , Aggregate functions,4e66
 
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The video will describe what are aggregate functions
Views: 1634 hammadshams
03 How to configure List partition in Oracle
 
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Use list partitioning when you require explicit control over how rows map to partitions. You can specify a list of discrete values for the partitioning column in the description for each partition. This is different from range partitioning, where a range of values is associated with a partition, and from hash partitioning, where the user has no control of the row to partition mapping. List partitioning allows unordered and unrelated sets of data to be grouped and organized together very naturally The following example creates a table with list partitioning create table customers (custcode number(5), Name varchar2(20), Addr varchar2(10,2), City varchar2(20), Bal number(10,2)) Partition by list (city), Partition north_India values (‘DELHI’,’CHANDIGARH’), Partition east_India values (‘KOLKOTA’,’PATNA’), Partition south_India values (‘HYDERABAD’,’BANGALORE’,’CHENNAI’), Partition west India values (‘BOMBAY’,’GOA’); If a row is inserted in the above table then oracle maps the value of city column and whichever partition list matches the city column the row is stored in that partition.
Views: 728 Md Arshad
SQL Tutorial 11 Subqueries with aggregate functions
 
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Subqueries with aggregate functions Check out our website: http://www.telusko.com Follow Telusko on Twitter: https://twitter.com/navinreddy20 Follow on Facebook: Telusko : https://www.facebook.com/teluskolearnings Navin Reddy : https://www.facebook.com/navintelusko Follow Navin Reddy on Instagram: https://www.instagram.com/navinreddy20 Subscribe to our other channel: Navin Reddy : https://www.youtube.com/channel/UCxmkk8bMSOF-UBF43z-pdGQ?sub_confirmation=1 Telusko Hindi : https://www.youtube.com/channel/UCitzw4ROeTVGRRLnCPws-cw?sub_confirmation=1
Views: 12914 Telusko
What is LAG Function in Oracle
 
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What is LAG Function in Oracle How to Get Previous Record in SQL How to Get Previous Salary in Oracle SQL Tutorial SQL Tutorial for beginners PLSQL Tutorial PLSQL Tutorial for beginners PL/SQL Tutorial PL SQL Tutorial PL SQL Tutorial for beginners PL/SQL Tutorial for beginners Oracle SQL Tutorial
Views: 433 TechLake
ROWID & ROWNUM in Oracle/ عربي
 
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ROWID & ROWNUM in Oracle
Views: 1254 khaled alkhudari
13.45 OVER, PARTITION BY
 
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Komplette Liste der Videos und zusätzliches Material auf http://datenbankenlernen.de Informatik, Uni Saarland: Bachelor: http://www.cs.uni-saarland.de/index.php?id=52&L=1&source=1345 Master: http://www.cs.uni-saarland.de/index.php?id=132&L=1&source=1345 Ph.D./Grad School: http://gradschool.cs.uni-saarland.de/&source=1345
SQL Tutorial - Window Functions - Lag and Lead
 
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Another video brought to you by BeardedDev, bringing you tutorials on Business Intelligence, SQL Programming and Data Analysis. In this video I talk about using Lag and Lead in Windows Functions. This video covers the requirements to pass the exam: If you would like to follow along with the tutorial please run the SQL below: IF OBJECT_ID(N'dbo.Sales', N'U') IS NOT NULL DROP TABLE dbo.Sales; GO CREATE TABLE dbo.Sales ( Sales_Id INT NOT NULL IDENTITY(1, 1) CONSTRAINT PK_Sales_Sales_Id PRIMARY KEY , Sales_Customer_Id INT NOT NULL , Sales_Date DATETIME2 NOT NULL , Sales_Amount DECIMAL (16, 2) NOT NULL ) INSERT INTO dbo.Sales (Sales_Customer_Id, Sales_Date, Sales_Amount) VALUES (1, '20180102', 54.99) , (1, '20180103', 72.99) , (1, '20180104', 34.99) , (1, '20180115', 29.99) , (1, '20180121', 67.00) Lag and Lead are useful for performing trend analysis, in the example I show how we can display a customer spending trend. Lag will show the previous value. Lead will show the next value. Lag and Lead accept multiple parameters as demonstrated in the video: LAG([Column], [Offset], [Value if NULL]) The example of LAG and LEAD in the video can be shown by executing the below SQL query: SELECT Sales_Customer_Id , Sales_Date , LAG(Sales_Amount, 2, 0) OVER(PARTITION BY Sales_Customer_Id ORDER BY Sales_Date) AS PrevValue , Sales_Amount , LEAD(Sales_Amount, 2, 0) OVER(PARTITION BY Sales_Customer_Id ORDER BY Sales_Date) AS NextValue FROM dbo.Sales Please feel free to post comments.
Views: 2880 BeardedDev