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LAG and LEAD in SQL | Oracle SQL Tutorial Videos | Mr.Vijay Kumar
 
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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: 11468 Naresh i Technologies
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: 414 TechLake
Lead , Lag ,  First Value , Last Value ,  Keep First , Keep Last | Oracle SQL Tutorial | Mr.Murali
 
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Lead , Lag , First Value , Last Value , Keep First , Keep Last in Oracle SQL | Oracle SQL Tutorial | Mr.Murali ►For Registration : https://goo.gl/r6kJbB ►Call: +91-8179191999 ► Visit Our Website: http://nareshit.in/ http://nareshit.com/ ► About NareshIT: "Naresh IT is the Best Software Training Institute for Hadoop, Salesforce, AWS, DevOps, Sprak, Data Science, Python, Tableau, RPA ,Java, C#.NET, ASP.NET, Oracle, Testing Tools, Silver light, Linq, SQL Server, Selenium, Android, iPhone, C Language, C++, PHP and Digital Marketing in Hyderabad, Chennai and Vijayawada, India which provides online and classroom training classes" ►For Registration : https://goo.gl/r6kJbB ►Call: India- 8179191999, USA- 404-232-9879 Email: [email protected] ►Our Online Training Features: 1.Training with Real-Time Experts 2.Industry Specific Scenario’s 3.Flexible Timings 4.Soft Copy of Material 5.Share Video's of each and every session. Check The Below Links: ►For Course Reg : https://goo.gl/r6kJbB ► Subscribe to Our Channel: https://goo.gl/q9ozyG ► Circle us on G+: https://plus.google.com/NareshIT ► Like us on Facebook: https://www.facebook.com/NareshIT ► Follow us on Twitter: https://twitter.com/nareshitech ► Visit Our Website: http://nareshit.in/ http://nareshit.com/
Views: 13876 Naresh i Technologies
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: 3064 Query Light
Oracle Performance Tuning - Lead and Lag
 
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A brief overview about Lead and Lag analytic function in Oracle
Views: 1415 Saurabh Kumar
Oracle LAG & LEAD Functions / Arabic
 
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--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: 754 khaled alkhudari
SQL: Lag
 
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In this tutorial, you'll learn how to make use of lag function in oracle sql PL/SQL (Procedural Language/Structured Query Language) is Oracle Corporation's procedural extension for SQL and the Oracle relational database. PL/SQL is available in Oracle Database (since version 7), TimesTen in-memory database (since version 11.2.1), and IBM DB2 (since version 9.7).[1] Oracle Corporation usually extends PL/SQL functionality with each successive release of the Oracle Database. PL/SQL includes procedural language elements such as conditions and loops. It allows declaration of constants and variables, procedures and functions, types and variables of those types, and triggers. It can handle exceptions (runtime errors). Arrays are supported involving the use of PL/SQL collections. Implementations from version 8 of Oracle Database onwards have included features associated with object-orientation. One can create PL/SQL units such as procedures, functions, packages, types, and triggers, which are stored in the database for reuse by applications that use any of the Oracle Database programmatic interfaces. PL/SQL works analogously to the embedded procedural languages associated with other relational databases. For example, Sybase ASE and Microsoft SQL Server have Transact-SQL, PostgreSQL has PL/pgSQL (which emulates PL/SQL to an extent), and IBM DB2 includes SQL Procedural Language,[2] which conforms to the ISO SQL’s SQL/PSM standard. The designers of PL/SQL modeled its syntax on that of Ada. Both Ada and PL/SQL have Pascal as a common ancestor, and so PL/SQL also resembles Pascal in several aspects. However, the structure of a PL/SQL package does not resemble the basic Object Pascal program structure as implemented by a Borland Delphi or Free Pascal unit. Programmers can define public and private global data-types, constants and static variables in a PL/SQL package.[3] PL/SQL also allows for the definition of classes and instantiating these as objects in PL/SQL code. This resembles usage in object-oriented programming languages like Object Pascal, C++ and Java. PL/SQL refers to a class as an "Abstract Data Type" (ADT) or "User Defined Type" (UDT), and defines it as an Oracle SQL data-type as opposed to a PL/SQL user-defined type, allowing its use in both the Oracle SQL Engine and the Oracle PL/SQL engine. The constructor and methods of an Abstract Data Type are written in PL/SQL. The resulting Abstract Data Type can operate as an object class in PL/SQL. Such objects can also persist as column values in Oracle database tables. PL/SQL is fundamentally distinct from Transact-SQL, despite superficial similarities. Porting code from one to the other usually involves non-trivial work, not only due to the differences in the feature sets of the two languages,[4] but also due to the very significant differences in the way Oracle and SQL Server deal with concurrency and locking. There are software tools available that claim to facilitate porting including Oracle Translation Scratch Editor,[5] CEITON MSSQL/Oracle Compiler [6] and SwisSQL.[7] The StepSqlite product is a PL/SQL compiler for the popular small database SQLite. PL/SQL Program Unit A PL/SQL program unit is one of the following: PL/SQL anonymous block, procedure, function, package specification, package body, trigger, type specification, type body, library. Program units are the PL/SQL source code that is compiled, developed and ultimately executed on the database. The basic unit of a PL/SQL source program is the block, which groups together related declarations and statements. A PL/SQL block is defined by the keywords DECLARE, BEGIN, EXCEPTION, and END. These keywords divide the block into a declarative part, an executable part, and an exception-handling part. The declaration section is optional and may be used to define and initialize constants and variables. If a variable is not initialized then it defaults to NULL value. The optional exception-handling part is used to handle run time errors. Only the executable part is required. A block can have a label. Package Packages are groups of conceptually linked functions, procedures, variables, PL/SQL table and record TYPE statements, constants, cursors etc. The use of packages promotes re-use of code. Packages are composed of the package specification and an optional package body. The specification is the interface to the application; it declares the types, variables, constants, exceptions, cursors, and subprograms available. The body fully defines cursors and subprograms, and so implements the specification. Two advantages of packages are: Modular approach, encapsulation/hiding of business logic, security, performance improvement, re-usability. They support object-oriented programming features like function overloading and encapsulation. Using package variables one can declare session level (scoped) variables, since variables declared in the package specification have a session scope.
Views: 2384 radhikaravikumar
Lead and Lag functions in SQL Server 2012
 
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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: 53804 kudvenkat
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: 5408 khaled alkhudari
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.
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: 760 khaled alkhudari
Analytical Functions in oracle explained with real examples
 
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This video explains analytical functions and how they are implemented in real projects. Analytical functions are somewhat similar to aggregate functions,but they offer much more. Why use analytical function ? They allow you to write fast and concise queries which otherwise will involve self join and long processing times They allow you to perform aggregate functions independently on sets of partitions. You can access values from previous rows in current row and you can restrict the window on which you want to apply this analytical function. I have given additional practice exercises along with the dataset so that you can comfortably work with analytical functions. You can find the sample problems along with dataset in the below link. http://www.internshipsfromhome.com/oracle-analytical-functions-ddl-and-dml/
Views: 25323 Tech Coach
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: 489 Database Star
Oracle SQL: Use Analytical Functions
 
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http://www.informit.com/store/oracle-sql-livelessons-video-training-downloadable-9780134275741?WT.mc_id=Social_YT Oracle SQL: Use Analytical Functions is an excerpt from Oracle SQL LiveLessons Video Training -- 6+ Hours of Video -- Oracle SQL LiveLessons Video Training covers the basics of the Oracle SQL programming language. This course covers both Oracle standard SQL and the ANSI approved SQL that Oracle supports. The focus of the course is to give students working knowledge of the Oracle SQL language and at the conclusion of this course, students should be able to query the Oracle database. Description In this LiveLessons video course, Oracle ACE Director Dan Hotka will teach you how to use the SQL query language, interpret business questions into SQL code, and how to use Where clauses sub-queries, complex table join conditions, and how to create table objects and populate tables with data. Students will also learn how to access Oracle from Microsoft products such as Excel. In addition, they will learn how analytical SQL can be used for business analysis. This course will use both Toad and SQL Developer for SQL examples. About the Instructor Dan Hotka is a training specialist and an Oracle ACE director who has more than 37 years in the computer industry and more than 31 years of experience with Oracle products. His experience with the Oracle RDBMS dates back to the Oracle V4.0 days. Dan enjoys sharing his knowledge of the Oracle RDBMS. Dan is well published with 12 Oracle books and well over 200 published articles. He is also the video author for Oracle SQL Performance Tuning for Developers LiveLessons and Oracle PL/SQL Programming Fundamentals. He is frequently published in Oracle trade journals, regularly blogs, and speaks at Oracle conferences and user groups around the world. Visit his website at www.DanHotka.com. Skill Level Beginner Learn How To Use the SQL query language Interpret business questions into SQL code Understand Oracle standard SQL and ANSI SQL Work with Where clauses, sub-queries, and complex table join conditions Create table objects and populate these tables with data Access Oracle from Microsoft products such as Excel Use analytical SQL, useful for business analysts Who Should Take This Course Students who are new to SQL and want to learn Oracle SQL Course Requirements Basic knowledge of what is a database, especially RDBMS and what is a computer programming language http://www.informit.com/store/oracle-sql-livelessons-video-training-downloadable-9780134275741?WT.mc_id=Social_YT
Views: 1302 LiveLessons
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: 2639 BeardedDev
Oracle DUMP Function
 
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https://www.databasestar.com/oracle-dump/ The Oracle DUMP function tells you the data type of an expression you specify. Specifically, this function returns a string that explains what type of data it is, along with the length, and an internal representation. The syntax of the DUMP function is: DUMP ( expression [, return_format] [, start_position] [, length] ) The parameters of this function are: - expression: this is the expression that will be looked at and will have information displayed from this function. It can be a column or any other kind of expression. - return_format: this is the format of the data to return. - start_position: this is the starting position of the expression to return the internal representation for. Does not impact the data type shown. - length: this is the length from the start_position that the internal representation of the expression is shown for. The DUMP function returns a VARCHAR2 data type. For more information about the Oracle DUMP function, including all of the SQL shown in this video and the examples, read the related article here: https://www.databasestar.com/oracle-dump/
Views: 124 Database Star
Analytical functions in oracle part 1
 
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Rank ,Dense Rank and Row number function in oracle
Views: 240 DataSmith
Essbase MDX Functions: Lead, Lag, PrevMember, & More
 
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interRel presents Look Smarter Than You Are With Oracle Essbase: MDX Lead, Lag, PrevMember, and More Glenn Schwartzberg
Views: 143 interRel Consulting
LAG analytical function in plsql.
 
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How to use LAG analytical function in plsql to find the nth nearest record from the top.Watch this pl sql tutorial on lag analytical functions in oracle to find out records with nth lagging values.
Views: 505 Subhroneel Ganguly
NULL-Related Functions in Oracle
 
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An overview of some of the functions Oracle provides to handle NULL values in SQL and PL/SQL. For more information see: https://oracle-base.com/articles/misc/null-related-functions Website: https://oracle-base.com Blog: https://oracle-base.com/blog Twitter: https://twitter.com/oraclebase Cameo by Bjoern Rost Blog: http://portrix-systems.de/blog/brost/ Twitter: https://twitter.com/brost Cameo appearances are for fun, not an endorsement of the content of this video.
Views: 2771 ORACLE-BASE.com
Oracle SQL Tutorial : How to return multiple values from the Function in Oracle PL/SQL
 
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Oracle SQL Tutorial Oracle tutorial : How to return multiple values from the Function in Oracle PLSQL pl sql function This video tutorial tell you How to return multiple rows from the Function in Oracle PLSQL Using the TYPE object you can able return multiple rows from the function.Here object concept of oracle is used. Subscribe on youtube: https://www.youtube.com/channel/UCpiyAesWNYOXSz5GPq8lbkA For more tutorial please visit #techquerypond https://techquerypond.wordpress.com https://twitter.com/techquerypond
Views: 7450 Tech Query Pond
LAG vs LEAD Functions in Oracle Database
 
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LEAD Function in Oracle Database LAG Function in Oracle Database
Views: 32 Adam Tech
Oracle Tutorial || Oracle|Adv Sql | Analytical Functions Part-1 by basha
 
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Analytics: 17 The LAG / LEAD clauses
 
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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 the lag and lead functions. The sample problem we'll solve is: Collapsing repeated rows in an order history table to show only the days where the order changed status Scripts: https://livesql.oracle.com/apex/livesql/file/content_CZUCT0MCOQZMJM7TI553HC8S9.html
Views: 484 Connor McDonald
[SQL] Lead & Lag Window Function
 
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This tutorial will walk you through SQL server on using the Lead or Lag function. Adding this to your SQL select statement, it can output you the previous/next data value in the partition. This is very useful when wanting to see a particular data value a customer had prior to making a change. Github Script: https://github.com/ProfessorPitch/ProfessorPitch/blob/master/SQL/Window%20Functions/Lead%20Lag%20Exercise.sql Lag: https://docs.microsoft.com/en-us/sql/t-sql/functions/lag-transact-sql?view=sql-server-2017 Lead: https://docs.microsoft.com/en-us/sql/t-sql/functions/lead-transact-sql?view=sql-server-2017
Views: 144 ProfessorPitch
Windowing Functions in Spark SQL Part 1 | Lead and Lag Functions | Windowing Functions Tutorial
 
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Windowing Functions in Spark SQL Part 1 | Lead and Lag Functions | Windowing Functions Tutorial https://acadgild.com/big-data/big-data-development-training-certification?utm_source=youtube&utm_medium=organic&utm_campaign=Yotube_MViPRjaqfaA-window-function-spark-1_20180507 Hello and welcome back to Hadoop tutorials powered by Acadgild. In this tutorial, you will be able to learn the windowing functions in Spark SQL. Let’s start understanding the internals of lag and lead functions in this lecture. These are some inbuilt functions which operate on a set of rows and return a single value for each row from the underlying query. This can be very useful to simplify complex queries and break them down into logical components. To give you a brief idea about these windowing functions in spark, we will be using stock market data. Dataset Link: https://drive.google.com/open?id=1nWGndnKxCNi5WKqPMBbrEhp4CBIWb7O- Commands Download link: https://drive.google.com/open?id=145J2F07thkx17FeogVxiw6fctsDlhDrb Let's now understand the input(Dataset) and expected the output of the lag function. Show the document consisting of sample input and output and explain it 1st column in this dataset is the date, 2nd column is the ticker which is nothing but the stock name, 3rd column is the open value of a stock, 4th column is the closing value of the stock, and the last column is the volume of the stocks on that particular day. in the sample output, we perform the query to retrieve ticker, date, closing price of a stock on a particular day and the derived column is the closing value of the same stock on the previous day Watch the complete video followed by execution of the same. Please subscribe and stay tuned for more such videos. #sparksql, #windowing, #Hadoop, #bigdata For more updates on courses and tips follow us on: Facebook: https://www.facebook.com/acadgild Twitter: https://twitter.com/acadgild LinkedIn: https://www.linkedin.com/company/acadgild
Views: 2328 ACADGILD
KISS series on Analytics: 17 The LAG / LEAD clauses
 
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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 the lag and lead functions. The sample problem we'll solve is: Collapsing repeated rows in an order history table to show only the days where the order changed status Scripts: https://livesql.oracle.com/apex/livesql/file/content_CZUCT0MCOQZMJM7TI553HC8S9.html Watch the entire Analytics playlist at https://www.youtube.com/playlist?list=PLJMaoEWvHwFJDyhMLCkNSSUQWw9waFkIj ========================================­­­============== Copyright © 2015 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
Views: 1010 Connor McDonald
Oracle Analytic Functions In-Depth / NEW UDEMY COURSE
 
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To all my students that enrolled in my Oracle SQL & PL/SQL course: It is time now for advanced SQL, the Best Course Ever and the only course in udemy which talk about this topic in details You will learn many things: • Use SQL with aggregation operators. • SQL for Analysis and Reporting functions • Group and aggregate data using the ROLLUP and CUBE operators • The GROUPING function • Composite Columns and the concatenated Groupings • RANK & DENSE_RANK • PERCENT_RANK • CUME_DIST (cumulative distribution) • The LAG/LEAD Functions • LISTAGG function • Aggregate functions VS Analytic Part • Aggregate functions & windowing clause In-Depth • Moving Average and running totals • ROWNUM & ROW_NUMBER • And much more Take it now 10.99$ https://www.udemy.com/oracle-analytic-functions-in-depth/?couponCode=KHKH10
Views: 712 khaled alkhudari
Analytical functions in oracle part 2
 
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First_value , Last_value functions
Views: 59 DataSmith
Analytical functions in oracle part 3
 
09:44
Lead and Lag function
Views: 29 DataSmith
Analytics: 18 Lag, Lead - Dealing with null
 
03:38
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 using our IGNORE NULLS extension for lag and lead to solve the "fill in the gaps" problem when rows are missing data. Scripts: https://livesql.oracle.com/apex/livesql/file/content_C0SXW1PG37G8REE0VTQH5LXJ8.html
Views: 345 Connor McDonald
Oracle Analytic Functions
 
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In this video I have covered the Oracle Analytic Functions. Analytic Function: Analytic functions compute an aggregate value based on a group of rows. They differ from aggregate functions in that they return multiple rows for each group. The group of rows is called a window and is defined by the analytic_clause.
Views: 69 Ajeet Verma
Prior Day Profit using the Lag Function - SQL Training Online
 
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You can get a prior day value using the Lag Function in SQL Server. In this video I show you how to create a prior day squeeze of profit using the Windowing Lag function in TSQL. READ THE ORIGINAL ARTICLE WITH SQL SCRIPTS HERE http://www.sqltrainingonline.com/prior-day-profit-lag-function-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: 1287 Joey Blue
Sql Analytical Function In Pandas: Partition BY, Row Over, Lead and Lag, Top N Rows
 
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This Tutorial explains the SQL like analytical function in Pandas like ranking rows with in a group Partition by row over(), lead and lag function etc.
SQL: TRIM function
 
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In this tutorial, you'll learn how to use trim function PL/SQL (Procedural Language/Structured Query Language) is Oracle Corporation's procedural extension for SQL and the Oracle relational database. PL/SQL is available in Oracle Database (since version 7), TimesTen in-memory database (since version 11.2.1), and IBM DB2 (since version 9.7).[1] Oracle Corporation usually extends PL/SQL functionality with each successive release of the Oracle Database. PL/SQL includes procedural language elements such as conditions and loops. It allows declaration of constants and variables, procedures and functions, types and variables of those types, and triggers. It can handle exceptions (runtime errors). Arrays are supported involving the use of PL/SQL collections. Implementations from version 8 of Oracle Database onwards have included features associated with object-orientation. One can create PL/SQL units such as procedures, functions, packages, types, and triggers, which are stored in the database for reuse by applications that use any of the Oracle Database programmatic interfaces. PL/SQL works analogously to the embedded procedural languages associated with other relational databases. For example, Sybase ASE and Microsoft SQL Server have Transact-SQL, PostgreSQL has PL/pgSQL (which emulates PL/SQL to an extent), and IBM DB2 includes SQL Procedural Language,[2] which conforms to the ISO SQL’s SQL/PSM standard. The designers of PL/SQL modeled its syntax on that of Ada. Both Ada and PL/SQL have Pascal as a common ancestor, and so PL/SQL also resembles Pascal in several aspects. However, the structure of a PL/SQL package does not resemble the basic Object Pascal program structure as implemented by a Borland Delphi or Free Pascal unit. Programmers can define public and private global data-types, constants and static variables in a PL/SQL package.[3] PL/SQL also allows for the definition of classes and instantiating these as objects in PL/SQL code. This resembles usage in object-oriented programming languages like Object Pascal, C++ and Java. PL/SQL refers to a class as an "Abstract Data Type" (ADT) or "User Defined Type" (UDT), and defines it as an Oracle SQL data-type as opposed to a PL/SQL user-defined type, allowing its use in both the Oracle SQL Engine and the Oracle PL/SQL engine. The constructor and methods of an Abstract Data Type are written in PL/SQL. The resulting Abstract Data Type can operate as an object class in PL/SQL. Such objects can also persist as column values in Oracle database tables. PL/SQL is fundamentally distinct from Transact-SQL, despite superficial similarities. Porting code from one to the other usually involves non-trivial work, not only due to the differences in the feature sets of the two languages,[4] but also due to the very significant differences in the way Oracle and SQL Server deal with concurrency and locking. There are software tools available that claim to facilitate porting including Oracle Translation Scratch Editor,[5] CEITON MSSQL/Oracle Compiler [6] and SwisSQL.[7] The StepSqlite product is a PL/SQL compiler for the popular small database SQLite. PL/SQL Program Unit A PL/SQL program unit is one of the following: PL/SQL anonymous block, procedure, function, package specification, package body, trigger, type specification, type body, library. Program units are the PL/SQL source code that is compiled, developed and ultimately executed on the database. The basic unit of a PL/SQL source program is the block, which groups together related declarations and statements. A PL/SQL block is defined by the keywords DECLARE, BEGIN, EXCEPTION, and END. These keywords divide the block into a declarative part, an executable part, and an exception-handling part. The declaration section is optional and may be used to define and initialize constants and variables. If a variable is not initialized then it defaults to NULL value. The optional exception-handling part is used to handle run time errors. Only the executable part is required. A block can have a label. Package Packages are groups of conceptually linked functions, procedures, variables, PL/SQL table and record TYPE statements, constants, cursors etc. The use of packages promotes re-use of code. Packages are composed of the package specification and an optional package body. The specification is the interface to the application; it declares the types, variables, constants, exceptions, cursors, and subprograms available. The body fully defines cursors and subprograms, and so implements the specification. Two advantages of packages are: Modular approach, encapsulation/hiding of business logic, security, performance improvement, re-usability. They support object-oriented programming features like function overloading and encapsulation. Using package variables one can declare session level (scoped) variables, since variables declared in the package specification have a session scope.
Views: 3097 radhikaravikumar
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: 1328 Siva Academy
What are Dependencies, Lead and Lag in  Precedence Diagramming Method. Project Management.
 
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What are Dependencies, Lead and Lag in Precedence Diagramming Method. Project Management. Subscribe to Youtube Channel Link :- https://www.youtube.com/c/amanvatspmp Twitter :- https://twitter.com/akvats550 Facebook :- https://www.facebook.com/akvats550 Facebook Page : - https://www.facebook.com/sumanvats500/ We bring information on Knowledge Max after internet based research. We try to check authenticity of information with best possible ways. The videos are just for knowledge purpose and does not guarantee claimed yields in terms of production of money of specific variety. The channel does not stand responsible for any kind of loss incurred due to information obtained from Channel. Please consult experts or take your conscious decision before proceeding for any action suggested at knowledge channel. lead and lag sql, lead and lag compensator, lead and lag pmp, lead and lag measures, lead and lag network, lead and lag in project management, lead and lag compensator in control system, lead and lag in ac circuits, lead and lag indicators, lead and lag activities, lead and lag alternating current, lead and lag analytic function, lead and lag compensator using bode plot, lead and lag compensator matlab, lead and lag compensator design, lead and lag compensator in control system شرح, lead and lag definition project management, lead and lag definition, lead and lag examples, lead and lag examples pmp, lead and lag experiment, lead and lag electrical, lead and lag function in sql, lead and lag functions in sql server with examples, lead and lag floats, lead and lag function in hive, lead and lag function in oracle, lead and lag function in oracle sql, lead and lag function, lead and lag function in sql server, power factor lead and lag, lead and lag goals, lead and lag in sql server, lead and lag in construction, lead and lag in ms project, lead and lag in sql with examples, lead and lag in scala, lead and lag kpis, lag lead and lag-lead compensation, lead and lag measures examples, lead and lag meaning, lead and lag measures definition, lead and lag measures 4dx, lead and lag project management, ms project lead and lag time, lead and lag network diagram, concept of lead and lag, lead and lag phasor diagram, lead and lag payments, lead and lag power factor, lead and lag phase, lead and lag pump, lead and lag query in sql, rkvah lead and lag, lead and lag sql example, lead and lag syntax in sql, lead and lag variables in stata, valve lead and lag, what is lead and lag, what is lead and lag in electrical, what is lead and lag compensator, 4dx lead and lag measures dependencies in microsoft project, dependencies injection, dependencies in maven, dependencies and hazards, dependencies in database, dependencies in smartsheet, dependencies in dbms, dependencies in computer architecture, dependencies in project management, dependencies android studio, dependencies ap human geography, dependencies android, dependencies android studio 3.0, dependencies between instructions, dependencies by population, dependencies c#, dependencies computer science, dependencies computer architecture, dependencies constraints and assumptions, dependencies could not be satisfied, dependencies classpath android studio, dependencies calculation, dependencies cc 206, functional dependencies candidate keys, dependencies diagram example, dependencies database, dependencies definition computer science, dependencies definition in project management, functional dependencies database, functional dependencies dbms, inclusion dependencies in dbms, types of dependencies in dbms, dependencies excel, functional dependencies examples, data dependencies example, functional dependencies explained, equivalent functional dependencies, dependencies for selenium, dependencies for api 28, dependencies for google map in android studio, dependencies for wine, resolving dependencies flutter, functional dependencies, functional dependencies in database, finding functional dependencies, dependencies graph, dependencies gantt chart, gradle dependencies, gopher vortex dependencies, gradle dependencies intellij, gantt dependencies, multivalued dependencies in hindi, helm dependencies, dependencies jira, dependencies jira portfolio, join dependencies, java dependencies, javascript dependencies, manage dependencies in jira, dependencies linux, dependencies log, unmet dependencies kali linux, aws lambda dependencies, list functional dependencies, long distance dependencies, aws lambda dependencies python, dependencies microsoft project, dependencies missing wow addon, dependencies map, dependencies meaning in programming, dependencies ms project, dependencies minecraft, dependencies monday.com, multivalued dependencies, dependencies not correctly registered, dependencies node js, dependencies normalization, peer dependencies npm, installing dependencies npm, fluxion dependencies not installing, dependencies on v
Views: 40 Aman Vats
FIRST VALUE function in SQL Server
 
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In this video we will discuss FIRST_VALUE function in SQL Server FIRST_VALUE function Introduced in SQL Server 2012 Retrieves the first value from the specified column ORDER BY clause is required PARTITION BY clause is optional Syntax : FIRST_VALUE(Column_Name) OVER (ORDER BY Col1, Col2, ...) FIRST_VALUE function example WITHOUT partitions : In the following example, FIRST_VALUE function returns the name of the lowest paid employee from the entire table. SELECT Name, Gender, Salary, FIRST_VALUE(Name) OVER (ORDER BY Salary) AS FirstValue FROM Employees FIRST_VALUE function example WITH partitions : In the following example, FIRST_VALUE function returns the name of the lowest paid employee from the respective partition. SELECT Name, Gender, Salary, FIRST_VALUE(Name) OVER (PARTITION BY Gender ORDER BY Salary) AS FirstValue FROM Employees Text version of the video http://csharp-video-tutorials.blogspot.com/2015/10/firstvalue-function-in-sql-server.html Slides http://csharp-video-tutorials.blogspot.com/2015/10/firstvalue-function-in-sql-server_6.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: 35784 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: 26449 SkillBuilders
Oracle sql Interview Question : How to change rows to column
 
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This video tutorial talks about the frequently asked oracle sql interview question of changing rows to the column. Based on the given scenario, we are asked to change the presentation of data in a table with 3 rows and 2 column to 3 columns and 2 rows. Decode Function in oracle https://youtu.be/YUAjPMjqMws Pivot and unpivot in oracle https://youtu.be/6s0DI1YcWIM
Views: 18323 Kishan Mashru
SQL: Analytical Functions
 
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In this tutorial, you'll learn how to use the analytical functions..
Views: 37975 radhikaravikumar
023 LAG and LEAD function Examples
 
04:23
023 LAG and LEAD function Examples
Views: 10 Mianhasnain Gulzar
006 Connect By clause
 
05:09
Views: 5860 Kartik Mundhra
MySql 21 | Lead and Lag Function in MySql
 
07:17
Lead and Lag Function in MySql
Views: 323 Adam Tech
A Gentle Intro to the LAG() Window Function in SQL
 
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A Gentle Intro to the LAG() Window Function in SQL, complete with a few mistakes which may help you understand it more readily!
Views: 308 Jeffrey James
Difference between Row Number, Rank and Dense Rank | Oracle SQL Tutorial | Mr.Murali
 
20:46
►For Registration : https://goo.gl/r6kJbB ►Call: +91-8179191999 ► Visit Our Website: http://nareshit.in/ http://nareshit.com/ ► About NareshIT: "Naresh IT is the Best Software Training Institute for Hadoop, Salesforce, AWS, DevOps, Sprak, Data Science, Python, Tableau, RPA ,Java, C#.NET, ASP.NET, Oracle, Testing Tools, Silver light, Linq, SQL Server, Selenium, Android, iPhone, C Language, C++, PHP and Digital Marketing in Hyderabad, Chennai and Vijayawada, India which provides online and classroom training classes" ►For Registration : https://goo.gl/r6kJbB ►Call: India- 8179191999, USA- 404-232-9879 Email: [email protected] ►Our Online Training Features: 1.Training with Real-Time Experts 2.Industry Specific Scenario’s 3.Flexible Timings 4.Soft Copy of Material 5.Share Video's of each and every session. Check The Below Links: ►For Course Reg : https://goo.gl/r6kJbB ► Subscribe to Our Channel: https://goo.gl/q9ozyG ► Circle us on G+: https://plus.google.com/NareshIT ► Like us on Facebook: https://www.facebook.com/NareshIT ► Follow us on Twitter: https://twitter.com/nareshitech ► Visit Our Website: http://nareshit.in/ http://nareshit.com/
Views: 11775 Naresh i Technologies

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