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Oracle Partition By clause, Oracle Analytic Functions tutorial
 
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More about analytic functions, visit http://www.learn-with-video-tutorials.com Oracle Analytic Functions and Over By Partition clause enable calculating cumulative and moving aggregates returning multiple rows for each group.
SQL 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: 32133 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: 90743 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: 8831 MidnightDBA
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
SQL Server Calculating Cumulative Sums
 
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7. Calculating Cumulative Sums
Views: 2631 Eagle
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: 133 CodingWithMitch
Oracle Tutorial - Aggregate Functions AVG | SUM | MIN | MAX | COUNT
 
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Oracle Tutorials - Aggregate Functions avg () Sum () Min () Max () Count ()
Views: 106 Tech Acad
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: 7962 Lecture Snippets
Running Sum using Oracle
 
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Running Sum using Oracle
Views: 1392 CONNECT TO LEARN
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: 23042 Tech Coach
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: 3011 Database Star
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: 444 Database Star
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: 3042 Query Light
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: 1984 Oracle World
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: 5087 khaled alkhudari
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: 57310 kudvenkat
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: 26346 SkillBuilders
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: 62293 kudvenkat
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: 85798 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: 1956 Spod ssppoodd
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: 12354 BeardedDev
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: 384 TechLake
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: 704 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: 43373 SQL with Manoj
SQL Totals and Sub totals using ROLLUP (with sample scenario)
 
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Totals and Subtotals using ROLLUP in : -- ORACLE SQL select case when c.customer_name is null then 'TOTAL' else c.customer_name end CUST_NAME ,case when lt.name is null then 'SUB-TOTAL' else lt.name end Loan_Type ,sum(lr.loan_amount) from loan_request lr join customers c on c.customer_id=lr.customer_id join loan_types lt on lt.loan_type_id = lr.loan_type_id group by rollup(c.customer_name,lt.name) --MYSQL select case when c.customer_name is null then 'TOTAL' else c.customer_name end CUST_NAME ,case when lt.name is null then 'SUB-TOTAL' else lt.name end Loan_Type ,sum(lr.loan_amount) from loan_request lr join customers c on c.customer_id=lr.customer_id join loan_types lt on lt.loan_type_id = lr.loan_type_id group by c.customer_name,lt.name with rollup
Views: 865 Data Disc
SQL Tutorial - Window Functions - Calculate Running Totals, Averages
 
13:06
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: 3692 BeardedDev
SQL Tutorial : Differences between Where and Having clauses in oracle
 
05:32
SQL Tutorial : Differences between Where and Having clauses 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: 1091 TechLake
SQL: Group By,  Having, Min, Max Sum
 
14:43
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: 153950 Michael Fudge
Lead and Lag functions in SQL Server 2012
 
07:27
In this video we will discuss about Lead and Lag functions. Lead and Lag functions Introduced in SQL Server 2012 Lead function is used to access subsequent row data along with current row data Lag function is used to access previous row data along with current row data ORDER BY clause is required PARTITION BY clause is optional Syntax LEAD(Column_Name, Offset, Default_Value) OVER (ORDER BY Col1, Col2, ...) LAG(Column_Name, Offset, Default_Value) OVER (ORDER BY Col1, Col2, ...) Offset - Number of rows to lead or lag. Default_Value - The default value to return if the number of rows to lead or lag goes beyond first row or last row in a table or partition. If default value is not specified NULL is returned. We will use the following Employees table for the examples in this video SQL Script to create the Employees table Create Table Employees ( Id int primary key, Name nvarchar(50), Gender nvarchar(10), Salary int ) Go Insert Into Employees Values (1, 'Mark', 'Male', 1000) Insert Into Employees Values (2, 'John', 'Male', 2000) Insert Into Employees Values (3, 'Pam', 'Female', 3000) Insert Into Employees Values (4, 'Sara', 'Female', 4000) Insert Into Employees Values (5, 'Todd', 'Male', 5000) Insert Into Employees Values (6, 'Mary', 'Female', 6000) Insert Into Employees Values (7, 'Ben', 'Male', 7000) Insert Into Employees Values (8, 'Jodi', 'Female', 8000) Insert Into Employees Values (9, 'Tom', 'Male', 9000) Insert Into Employees Values (10, 'Ron', 'Male', 9500) Go Lead and Lag functions example WITHOUT partitions : This example Leads 2 rows and Lags 1 row from the current row. When you are on the first row, LEAD(Salary, 2, -1) allows you to move forward 2 rows and retrieve the salary from the 3rd row. When you are on the first row, LAG(Salary, 1, -1) allows us to move backward 1 row. Since there no rows beyond row 1, Lag function in this case returns the default value -1. When you are on the last row, LEAD(Salary, 2, -1) allows you to move forward 2 rows. Since there no rows beyond the last row 1, Lead function in this case returns the default value -1. When you are on the last row, LAG(Salary, 1, -1) allows us to move backward 1 row and retrieve the salary from the previous row. SELECT Name, Gender, Salary, LEAD(Salary, 2, -1) OVER (ORDER BY Salary) AS Lead_2, LAG(Salary, 1, -1) OVER (ORDER BY Salary) AS Lag_1 FROM Employees Lead and Lag functions example WITH partitions : Notice that in this example, Lead and Lag functions return default value if the number of rows to lead or lag goes beyond first row or last row in the partition. SELECT Name, Gender, Salary, LEAD(Salary, 2, -1) OVER (PARTITION By Gender ORDER BY Salary) AS Lead_2, LAG(Salary, 1, -1) OVER (PARTITION By Gender ORDER BY Salary) AS Lag_1 FROM Employees Text version of the video http://csharp-video-tutorials.blogspot.com/2015/10/lead-and-lag-functions-in-sql-server.html Slides http://csharp-video-tutorials.blogspot.com/2015/10/lead-and-lag-functions-in-sql-server_5.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: 52456 kudvenkat
SQL tutorial 51: DECODE function in Oracle Database By Manish Sharma (RebellionRider)
 
05:04
SQL Tutorial 51 Decode function in Oracle Database. ● What Is DECODE() ● DECODE ( ) vs CASE ● Syntax of DECODE() ● Query 1. String Matching using DECODE() ● Query 2. DECODE() comparing values form the COLUMN of the table Celebrating 1000 subscribers. Thanks a lot guys for all your love and support. ------------------------------------------------------------------------ ►►►LINKS◄◄◄ Blog: ------------------------------------------------------------------------- Copy Cloud referral link || Use this link to join copy cloud and get 20GB of free storage https://copy.com?r=kb4rc1 -------------------------------------------------------------------------- ►Make sure you SUBSCRIBE and be the first one to see my videos! -------------------------------------------------------------------------- Amazon Wishlist: http://bit.ly/wishlist-amazon ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ►►►Find me on Social Media◄◄◄ Follow What I am up to as it happens on https://twitter.com/rebellionrider https://www.facebook.com/imthebhardwaj http://instagram.com/rebellionrider https://plus.google.com/+Rebellionrider http://in.linkedin.com/in/mannbhardwaj/ http://rebellionrider.tumblr.com/ http://www.pinterest.com/rebellionrider/ You can also Email me at [email protected] Please please LIKE and SHARE my videos it makes me happy. Thanks for liking, commenting, sharing and watching more of our videos This is Manish from RebellionRider.com ♥ I LOVE ALL MY VIEWERS AND SUBSCRIBERS
Views: 35392 Manish Sharma
NTILE function in SQL Server
 
05:10
In this video we will discuss NTILE function in SQL Server NTILE function 1. Introduced in SQL Server 2005 2. ORDER BY Clause is required 3. PARTITION BY clause is optional 4. Distributes the rows into a specified number of groups 5. If the number of rows is not divisible by number of groups, you may have groups of two different sizes. 6. Larger groups come before smaller groups For example NTILE(2) of 10 rows divides the rows in 2 Groups (5 in each group) NTILE(3) of 10 rows divides the rows in 3 Groups (4 in first group, 3 in 2nd & 3rd group) Syntax : NTILE (Number_of_Groups) OVER (ORDER BY Col1, Col2, ...) 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 NTILE function without PARTITION BY clause : Divides the 10 rows into 3 groups. 4 rows in first group, 3 rows in the 2nd & 3rd group. SELECT Name, Gender, Salary, NTILE(3) OVER (ORDER BY Salary) AS [Ntile] FROM Employees What if the specified number of groups is GREATER THAN the number of rows NTILE function will try to create as many groups as possible with one row in each group. With 10 rows in the table, NTILE(11) will create 10 groups with 1 row in each group. SELECT Name, Gender, Salary, NTILE(11) OVER (ORDER BY Salary) AS [Ntile] FROM Employees NTILE function with PARTITION BY clause : When the data is partitioned, NTILE function creates the specified number of groups with in each partition. The following query partitions the data into 2 partitions (Male & Female). NTILE(3) creates 3 groups in each of the partitions. SELECT Name, Gender, Salary, NTILE(3) OVER (PARTITION BY GENDER ORDER BY Salary) AS [Ntile] FROM Employees Link for all dot net and sql server video tutorial playlists https://www.youtube.com/user/kudvenkat/playlists?sort=dd&view=1 Link for slides, code samples and text version of the video http://csharp-video-tutorials.blogspot.com/2015/10/ntile-function-in-sql-server.html
Views: 39776 kudvenkat
Oracle  Aggregate functions
 
55:34
Aggregate Funtion: MACSMVS max,avg,count,sum,min, variance, stddev
Views: 1004 Jide James
SQL Aggregate Functions - SUM, AVG(n), COUNT, MIN, MAX Functions | Database Management System
 
11:21
Lecture By: Mr. Varun Singla Facebook page link : https://www.facebook.com/gatesmashers/
Views: 29736 Gate Smashers
Analytical Functions | ORACLE/ SQL
 
48:19
Analytical Functions are used in ORACLE/SQL ..... RANK,DENSE_RANK, LEAD,LAG,AND LISTTAG ARE ANALYTICAL FUNCTIONS
Views: 9271 Adam Tech
Year-to-Date using Partition By with Windowing - SQL Training Online
 
05:43
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: 2986 Joey Blue
LAG and LEAD in SQL | Oracle SQL Tutorial Videos | Mr.Vijay Kumar
 
10:16
LAG and LEAD in SQL | Oracle SQL Tutorial Videos | Mr.Vijay Kumar ** For Online Training Registration: https://goo.gl/r6kJbB ► Call: +91-8179191999 💡 Visit Our Website for Classroom Training: https://nareshit.in/oracle-training/ 💡 For Online Training: https://nareshit.com/oracle-online-training/ #Oracle #Training #CourseVideos -------------------------- 💡 About NareshIT: "Naresh IT is having 14+ years of experience in software training industry and the best Software Training Institute for online training, classroom training, weekend training, corporate training of Hadoop, Salesforce, AWS, DevOps, Spark, Data Science, Python, Tableau, RPA , Java, C#.NET, ASP.NET, Oracle, Testing Tools, Silver light, Linq, SQL Server, Selenium, Android, iPhone, C Language, C++, PHP and Digital Marketing in USA, Hyderabad, Chennai and Vijayawada, Bangalore India which provides online training across all the locations -------------------------- 💡 Our Online Training Features: 🎈 Training with Real-Time Experts 🎈 Industry Specific Scenario’s 🎈 Flexible Timings 🎈 Soft Copy of Material 🎈 Share Videos of each and every session. -------------------------- 💡 Please write back to us at 📧 [email protected]/ 📧 [email protected] or Call us at the USA: ☎+1404-232-9879 or India: ☎ +918179191999 -------------------------- 💡 Check The Below Links ► For Course Reg: https://goo.gl/r6kJbB ► Subscribe to Our Channel: https://goo.gl/q9ozyG ► Circle us on G+: https://plus.google.com/+NareshIT ► Like us on Facebook: https://www.facebook.com/NareshIT ► Follow us on Twitter: https://twitter.com/nareshitek ► Follow us on Linkedin: https://goo.gl/CRBZ5F ► Follow us on Instagram: https://goo.gl/3UXYK3
Views: 11150 Naresh i Technologies
SQL tutorial 74: SQL COALESCE Function In oracle Database Manish Sharma
 
04:44
Third tutorial in SQL Null Series. Coalesce Null function with example in oracle Database. ------------------------------------------------------------------------ ►►►LINKS◄◄◄ Blog : http://bit.ly/sql-coalesce Previous Tutorial ► NVL https://youtu.be/aRoTR5Jn6K0 ► NVL2 https://youtu.be/SCwc0HcS1-U ------------------------------------------------------------------------- ►►►Let's Get Free Uber Cab◄◄◄ Use Referral Code UberRebellionRider and get $20 free for your first ride. ------------------------------------------------------------------------- ►►►Help Me In Getting A Job◄◄◄ ►Help Me In Getting A Good Job By Connecting With Me on My LinkedIn and Endorsing My Skills. All My Contact Info is Down Below. You Can Also Refer Me To Your Company Thanks -------------------------------------------------------------------------- ►Make sure you SUBSCRIBE and be the 1st one to see my videos! -------------------------------------------------------------------------- ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ►►►Find me on Social Media◄◄◄ Follow What I am up to as it happens on https://twitter.com/rebellionrider https://www.facebook.com/imthebhardwaj http://instagram.com/rebellionrider https://plus.google.com/+Rebellionrider http://in.linkedin.com/in/mannbhardwaj/ http://rebellionrider.tumblr.com/ http://www.pinterest.com/rebellionrider/ You can also Email me at for E-mail address please check About section Please please LIKE and SHARE my videos it makes me happy. Thanks for liking, commenting, sharing and watching more of our videos This is Manish from RebellionRider.com ♥ I LOVE ALL MY VIEWERS AND SUBSCRIBERS
Views: 27708 Manish Sharma
Tutorial#53  Count and Sum  Aggregate Function in Oracle SQL Database| Group by Function in SQL
 
09:01
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: 27 EqualConnect Coach
SQL Tutorial - PIVOT
 
13:11
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 PIVOT in Microsoft SQL Server. Using PIVOT allows us rotate data from rows to columns making the data more readable. PIVOT is ideal for reporting in SQL Server and can be used as a starting point to visualise trends. In this PIVOT tutorial I demonstrate the difference between how data is presented compared to GROUP BY. PIVOT Syntax SELECT [columns] FROM ( [source_query] ) PIVOT ( [aggr_function]([aggr_column] FOR [spreading_column] IN ([spreading_elements])) SQL Queries in the video: Results using GROUP BY statement SELECT Sales_Customer_Id , DATENAME(MONTH, Sales_Date) AS [Month] , Sales_Amount FROM dbo.Sales GROUP BY Sales_Customer_Id , DATENAME(MONTH, Sales_Date) Results using PIVOT statement SELECT Sales_Customer_Id , [January] , [February] , [March] FROM ( SELECT Sales_Customer_Id , DATENAME(MONTH, Sales_Date) AS [Month] , Sales_Amount FROM dbo.Sales ) AS Src PIVOT ( SUM(Sales_Amount) FOR [Month] IN ([January], [February], [March]) ) AS Pvt Alternative PIVOT statement SELECT [Month] , [1] , [2] , [3] , [4] , [5] , [6] , [7] , [8] FROM ( SELECT Sales_Customer_Id , DATENAME(MONTH, Sales_Date) AS [Month] , Sales_Amount FROM dbo.Sales ) AS Src PIVOT ( SUM(Sales_Amount) FOR Sales_Customer_Id IN ([1], [2], [3], [4], [5], [6], [7], [8]) ) AS Pvt Please feel free to post comments.
Views: 3268 BeardedDev
12 of 15 SQL Basics with Oracle - Aggregate (grouping) functions and the GROUP BY clause
 
09:33
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
Grouping Sets in SQL Server
 
09:36
grouping sets examples in sql server sql server grouping sets order by grouping sql server 2008 grouping sets example sql server group by union all Grouping sets is a new feature introduced in SQL Server 2008. Let us understand Grouping sets with an example. We want to calculate Sum of Salary by Country and Gender. We can very easily achieve this using a Group By query as shown below Select Country, Gender, Sum(Salary) as TotalSalary From Employees Group By Country, Gender Within the same result set we also want Sum of Salary just by Country. To achieve the above result we could combine 2 Group By queries using UNION ALL as shown below. Select Country, Gender, Sum(Salary) as TotalSalary From Employees Group By Country, Gender UNION ALL Select Country, NULL, Sum(Salary) as TotalSalary From Employees Group By Country Within the same result set we also want Sum of Salary just by Gender. We can achieve this by combining 3 Group By queries using UNION ALL as shown below Select Country, Gender, Sum(Salary) as TotalSalary From Employees Group By Country, Gender UNION ALL Select Country, NULL, Sum(Salary) as TotalSalary From Employees Group By Country UNION ALL Select NULL, Gender, Sum(Salary) as TotalSalary From Employees Group By Gender Finally we also want the grand total of Salary. In this case we are not grouping on any particular column. So both Country and Gender columns will be NULL in the resultset. To achieve this we will have to combine the fourth query using UNION ALL as shown below. Select Country, Gender, Sum(Salary) as TotalSalary From Employees Group By Country, Gender UNION ALL Select Country, NULL, Sum(Salary) as TotalSalary From Employees Group By Country UNION ALL Select NULL, Gender, Sum(Salary) as TotalSalary From Employees Group By Gender UNION ALL Select NULL, NULL, Sum(Salary) as TotalSalary From Employees There are 2 problems with the above approach. The query is huge as we have combined different Group By queries using UNION ALL operator. This can grow even more if we start to add more groups The Employees table has to be accessed 4 times, once for every query. If we use Grouping Sets feature introduced in SQL Server 2008, the amount of T-SQL code that you have to write will be greatly reduced. The following Grouping Sets query produce the same result as the above UNION ALL query. Select Country, Gender, Sum(Salary) TotalSalary From Employees Group BY GROUPING SETS ( (Country, Gender), -- Sum of Salary by Country and Gender (Country), -- Sum of Salary by Country (Gender) , -- Sum of Salary by Gender () -- Grand Total ) The order of the rows in the result set is not the same as in the case of UNION ALL query. To control the order use order by as shown below. Select Country, Gender, Sum(Salary) TotalSalary From Employees Group BY GROUPING SETS ( (Country, Gender), -- Sum of Salary by Country and Gender (Country), -- Sum of Salary by Country (Gender) , -- Sum of Salary by Gender () -- Grand Total ) Order By Grouping(Country), Grouping(Gender), Gender Text version of the video http://csharp-video-tutorials.blogspot.com/2015/09/grouping-sets-in-sql-server.html Slides http://csharp-video-tutorials.blogspot.com/2015/09/grouping-sets-in-sql-server_19.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: 50322 kudvenkat
Rows Unbounded Preceding, Following in SQL Server
 
11:35
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: 1501 IT Port
SQL, oracle , Aggregate functions,4e66
 
07:58
The video will describe what are aggregate functions
Views: 1632 hammadshams
Oracle LAG & LEAD Functions / Arabic
 
11:23
--The LAG function is used to access data from a previous row --LAG (value_expression [,offset] [,default]) OVER ([query_partition_clause] order_by_clause) --value_expression - Can be a column or a built-in function, except for other analytic functions. --offset - The number of rows preceeding/following the current row, from which the data is to be retrieved. The default value is 1. --default - The value returned if the offset is outside the scope of the window. The default value is NULL. -- The LEAD function is used to return data from the next row. --LEAD (value_expression [,offset] [,default]) OVER ([query_partition_clause] order_by_clause)
Views: 737 khaled alkhudari
LISTAGG in Oracle
 
03:16
The theoretic description related to LISTAGG in Oracle to achieve the required which is shown in the Video.
Views: 1310 Techie Rajesh
Oracle Performance Tuning - Lead and Lag
 
04:19
A brief overview about Lead and Lag analytic function in Oracle
Views: 1394 Saurabh Kumar
PIVOT Tutorial - generating dynamic column with PIVOT Interview Question SQL
 
14:14
In this lecture you will learn about PIVOT operator and using it to generate dynamic columns.PIVOT is very use full operator to convert values into columns. PIVOT: •Convert your output from (values)vertical order to horizontal(making columns) one Topic to cover: •PIVOT example •PIVOT syntax •Interview Question •PIVOT on northwind •Dynamic PIVOT query http://www.techsapphire.in/index/pivot_sql_lesson_with_generating_dynamic_columns_with_pivot/0-158
Views: 30813 techsapphire
Analytical functions in oracle part 1
 
16:19
Rank ,Dense Rank and Row number function in oracle
Views: 239 DataSmith
Group Function 02 Oracle
 
01:04:18
Having Clause, Group Function, Group By Clause