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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: 14069 Tech Coach
Oracle COUNT Function
 
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https://www.databasestar.com/oracle-count/ The Oracle COUNT function is used to count the number of rows from the column, or number of values, provided to it. It’s commonly used to find the number of rows returned by a SELECT query. The syntax of the COUNT function is: COUNT ( [ * | [ DISTINCT | ALL ] expression) [ over (analytic_clause) ] There’s a lot of square brackets here, indicating optional parameters and choices. This just means you can use the COUNT function in a few different ways: COUNT(*) COUNT(DISTINCT expression) COUNT(ALL expression) COUNT(*) OVER (analytic_clause) COUNT(DISTINCT expression) OVER (analytic_clause) COUNT(ALL expression) OVER (analytic_clause) It can be used as an aggregate or analytic function. The parameters of the COUNT function are: - expression: The expression to count the values of. This can be a column or a set of values, for example. - analytic_clause: This is used to specify the criteria for an analytic query. COUNT(*) is the most common way to use this function, I’ve found. As COUNT(*) is an aggregate function, like all aggregate functions the columns mentioned in the SELECT clause need to exist in the GROUP BY clause. NULL values are ignored by COUNT(expression), but they are counted when using COUNT(*). COUNT(*) has the exact same calculation and performance as COUNT(1). For more information about the Oracle COUNT function, including all of the SQL shown in this video and the examples, read the related article here: https://www.databasestar.com/oracle-count/
Views: 99 Database Star
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 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: 3829 khaled alkhudari
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: 54783 kudvenkat
Oracle PL/SQL On Procedure/Function  - Difference
 
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Oracle PL/SQL On Procedure/Function - Difference
Views: 725 Lead Technologies
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: 7616 Lecture Snippets
Oracle - SQL - Number Functions
 
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Oracle - SQL - Number Functions Watch more Videos at https://www.tutorialspoint.com/videotutorials/index.htm Lecture By: Mr. Anadi Sharma, Tutorials Point India Private Limited.
RANK Analytic Function in SQL with an Example
 
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RANK() Analytic Function: RANK calculates the rank of a value in a group of values. The return type is NUMBER. If two or more rows tie for a rank, each tied rows receives the same rank. For example, if the two top employees have the same salary value, they are both ranked one. The employee with the next highest salary is ranked number three, because there are two rows that are ranked higher. Therefore, the RANK function does not always return consecutive integers. The sort order that is used for the whole query determines the order in which the rows appear in a result set. PARTITION BY clause: Divides the query result set into partitions. The window function is applied to each partition separately and computation restarts for each partition. ORDER BY clause: Defines the logical order of the rows within each partition of the result set. That is, it specifies the logical order in which the window functioncalculation is performed. Query used in Video: select ename,sal,deptno,RANK() OVER(PARTITION BY deptno ORDER BY sal) from emp; Video Explanation: See here 6th row assigned the value '6',not '5' because 4th and 5th rows have same value for salary. Its the same for 12 and 13 rows also. we did not mention anything on OVER clause except ORDER BY. If you want apply RANK() by department wise, we can use PARTITION BY clause. PARTION BY works like GROUP BY in aggregates!
Views: 6569 WingsOfTechnology
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: 2230 Database Star
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: 208 TechLake
12 of 15 SQL Basics with Oracle - Aggregate (grouping) functions and the GROUP BY clause
 
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This video explains the GROUP BY clause and some of the aggregate functions: sum, count, average, maximum, minimum, count(distinct ...), etc. An example of using an aggregate function would be to group students by major and only show the number of students in each major, not individual student information. (12 of 15) There is also an "Advanced SQL" series. (Search for "databasemec" for tutorials using SQL Server.)
Views: 5439 Jennifer Kreie
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: 80256 kudvenkat
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: 2888 Query Light
Oracle regular expression regexp count
 
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Unix Shell Scripting
Views: 1242 Sridhar Raghavan
SQL Tutorial - Window Functions
 
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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: 7525 BeardedDev
sql aggregate functions
 
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sql aggregate functions aggregate functions sql sql analytic functions oracle sql analytic functions SQL have following aggregate functions that can be used to write queries. 1)SUM() -: return sum of columns values. 2)AVG() -: return Average of columns values. 3)COUNT() -: return count of rows according to condition in where clause. 4)COUNT(*) -: return count of rows according to condition in where clause. 5)MAX() -: return Maximum value from table. 6)MIN() -: return minimum value from table. Note : A)Aggregate functions used in SELECT and HAVING clauses. B)Aggregate functions cannot be used in a WHERE clause. SELECT SUM(SALARY) FROM EMPLOYEE SELECT AVG(SALARY) FROM EMPLOYEE SELECT COUNT(SALARY) FROM EMPLOYEE SELECT COUNT(*) FROM EMPLOYEE SELECT MAX(SALARY) FROM EMPLOYEE SELECT MIN(SALARY) FROM EMPLOYEE https://techquerypond.com https://techquerypond.wordpress.com https://twitter.com/techquerypond
Views: 467 Tech Query Pond
Analytical Functions   ORACLE  SQL
 
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Analytical Functions ORACLE SQL
Views: 191 Zain Mohamed
12a of 15 SQL Basics with Oracle - Variations for the COUNT() function
 
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This video looks at three variations of the COUNT() function: COUNT(*), COUNT(field_name) and COUNT(DISTINCT field_name). The examples in the video show what the differences are in the result set for each COUNT variation. (12a of 15)
Views: 1501 Jennifer Kreie
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: 219 Database Star
Oracle SQL Functions|Group by clause Part- 1 by Dinesh
 
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DURGASOFT is INDIA's No.1 Software Training Center offers online training on various technologies like JAVA, .NET , ANDROID,HADOOP,TESTING TOOLS ,ADF,INFORMATICA,TABLEAU,IPHONE,OBIEE,ANJULAR JS, SAP... courses from Hyderabad & Bangalore -India with Real Time Experts. Mail us your requirements to [email protected] so that our Supporting Team will arrange Demo Sessions. Ph:Call +91-8885252627,+91-7207212428,+91-7207212427,+91-8096969696. http://durgasoft.com http://durgasoftonlinetraining.com https://www.facebook.com/durgasoftware http://durgajobs.com https://www.facebook.com/durgajobsinfo......
Oracle - SQL - Functions
 
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Oracle - SQL - Functions Watch more Videos at https://www.tutorialspoint.com/videotutorials/index.htm Lecture By: Mr. Anadi Sharma, Tutorials Point India Private Limited.
ORACLE ADVANCED - COUNT AND GROUP BY - INTERNATIONAL SIGN LANGUAGE
 
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2° TUTORIAL ORACLE, WORLD DEAF TECH (WDT)
Views: 103 Gabriele Serpi
Oracle  Aggregate functions
 
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Aggregate Funtion: MACSMVS max,avg,count,sum,min, variance, stddev
Views: 927 Jide James
APPROX_COUNT_DISTINCT Function in Oracle Database 11g and 12c
 
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This video demonstrates how to quickly improve the performance of calculating the number of distinct values using the APPROX_COUNT_DISTINCT function. For more information see: https://oracle-base.com/articles/12c/approx-count-distinct-12cr1 Website: https://oracle-base.com Blog: https://oracle-base.com/blog Twitter: https://twitter.com/oraclebase Cameo by Kris Rice Blog: http://krisrice.blogspot.com/ Twitter: https://twitter.com/krisrice Cameo appearances are for fun, not an endorsement of the content of this video.
Views: 650 ORACLE-BASE.com
Analytic Functions: Databases for Developers #13
 
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Analytic or windowing functions are one of the most powerful features of SQL. They allow you do to things like: - Add running totals - Generate row numbers - Calculate moving averages This video explains how to use them to analyze your data. Want to learn more? Take the course! https://devgym.oracle.com/pls/apex/dg/class/databases-for-developers-next-level.html Further reading: Analytic functions in the docs: https://docs.oracle.com/en/database/oracle/oracle-database/18/sqlrf/Analytic-Functions.html Analytic SQL video series: https://www.youtube.com/watch?v=0cjxYMxa1e4&list=PLJMaoEWvHwFIUwMrF4HLnRksF0H8DHGtt Need help with SQL? Ask us over on AskTOM: https://asktom.oracle.com Twitter: https://twitter.com/ChrisRSaxon Daily SQL Twitter tips: https://twitter.com/SQLDaily All Things SQL blog: https://blogs.oracle.com/sql/ ============================ The Magic of SQL with Chris Saxon 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: 829 The Magic of SQL
19 SQL with Oracle 10g XE   Using the COUNT and SUM Functions
 
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19 SQL with Oracle 10g XE Using the COUNT and SUM Functions
Views: 50 Cambo Movies
RANK and DENSE RANK functions in ORACLE
 
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RANK and DENSE RANK functions in ORACLE... Oracle tutorials for biginners....
Views: 125 CONNECT TO LEARN
How to return multiple values from a function in oracle pl/sql ? (without using out parameter)
 
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This video demonstrates how a function can return multiple values to the calling environment, but without using multiple out parameters, the video shows an example on how we can create a object, a nested table based on the object and then returning the nested table type from the function.
Views: 17047 Kishan Mashru
SQL: Analytical Functions
 
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In this tutorial, you'll learn how to use the analytical functions..
Views: 35578 radhikaravikumar
Counting Data Within Groups with GROUP BY (Introduction to Oracle SQL)
 
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How to use grouping and count to count occurrences of data
Views: 183 Database Star
Analytical Functions | ORACLE/ SQL
 
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Analytical Functions are used in ORACLE/SQL ..... RANK,DENSE_RANK, LEAD,LAG,AND LISTTAG ARE ANALYTICAL FUNCTIONS
Views: 9059 Adam Tech
Oracle SQL: Exploring Date Functions
 
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http://www.informit.com/store/oracle-sql-livelessons-video-training-downloadable-9780134275741?WT.mc_id=Social_YT Oracle SQL: Exploring Date 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: 4668 LiveLessons
Oracle : Ntile function
 
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Ntile function's detailed explaination... Oracle tutorials... easy to learn for the biginners.
Views: 251 CONNECT TO LEARN
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: 75291 kudvenkat
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: 36700 SQL with Manoj
Basic aggregate functions in Oracle plsql.
 
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Understanding basic aggregate functions in pl sql. A simple pl sql tutorial which demonstrate how to use basic aggregate functions like sum, avg, count, max and min.
Views: 344 Subhroneel Ganguly
Working with dates in Oracle PLSQL.
 
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Dates in Oracle PL SQL is definitely the most powerful among all other databases. It gives us full flexibility to manipulate it of our choice, whether you are calculating days, months or year, printing date and time in various format. Useful date functions add_months, months_between, last_day, next_day and to_char helps us a lot in handling date time in our pl sql programming.
Views: 5200 Subhroneel Ganguly
Group Function 02 Oracle
 
01:04:18
Having Clause, Group Function, Group By Clause
Oracle Database11g tutorials 11: SQL case manipulation function in Oracle Database
 
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Part 2 SQL functions- character function -case manipulation functions Previous Video Link :: http://youtu.be/5rx8Q4x4-qI Tool used in this tutorial is command prompt. This tutorial series is part of SQL expert exam certification training. if you are preparing for SQL certification you can use my tutorials. This SQL Tutorial is a part of free training. Copy Cloud referral link || Use this link to join copy cloud and get 20GB of free storage https://copy.com?r=j7eYO7 Contacts E-Mail [email protected] Twitter https://twitter.com/rebellionrider Instagram http://instagram.com/rebellionrider Facebook. https://www.facebook.com/imthebhardwaj Linkedin. http://in.linkedin.com/in/mannbhardwaj/ Thanks for linking, commenting, sharing and watching more of our videos This is Manish from RebellionRider.com ------------------------------------------------------------------------------------- As discuss in last video we have 3 case manipulation functions. In case you miss the SQL functions intro video you can find the link in the description below. First let's see what these functions are. Upper (): This function takes a parameter converts it into uppercase and returns the new string. Initcap (): this function also takes parameter and converts the initial letter of or parameter into uppercase and returns the new string. Lower (): This function takes a parameter converts it into lowercase and returns the new string. Ok let's do some practical For this practical we will be using 2 tables First is dual table Which is a dummy table provided by oracle? And I have created another table again by the name of example. This will be our second table. Let's start with SQL function upper ( ); SELECT upper('hello world') FROM dual; As you can see I have used "hello world" completely in lowercase as parameter to SQL upper function. Execute it. Here, our result has given us a completely new hello world string which is in uppercase. Similarly you can also use SQL upper function to perform other DML Let's try This time we will work on our second table EXAMPLE; insert into example values (upper('manish')); first parentheses for values and second for SQL function upper. Let's check the result. As you can see here inserted value is in upper case. Lets compare it with simple insert query Insert into example values ('manish'); Execute it, i think now it's clear that when we perform simple insert DML the inserted value will be the same you provide. Similarly let's try SQL function initcap(); SELECT initcap('hello world') FROM dual; As you see here in result the initial letters of string hello world are in uppercase. Let's do the insert query insert into example values (initcap('hello world')); initial letters of string also are in uppercase. Let's try SQL function lower(); This time we have to write our hello world in all caps. SELECT lower('HELLO WORLD') FROM dual; Execute String totally in lower case. Similarly you can user SQL function lower in other DML like insert and all.
Views: 83988 Manish Sharma
SQL Query Training - 70-461 TOP(), Ranking, and Analytic functions
 
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We will start off with all the features around the TOP(N) in your query, followed by using the RANK(), DENSE_RANK and ROW_NUMBER. Then on to Analytic Functions to help with your statistical analysis of data. Similar to aggregate functions, analytics functions compute over a group of rows with multiple results within each group. Learn how to properly use each of these analytics functions in combination with enhancements to the OVER clause. Learn the value of CUME_DIST and PERCENT_RANK in your analysis, use LAST_VALUE and FIRST_VALUE along with PERCENTILE_DISC, PERCENTILE_CONT, LEAD and LAG you can look at data in the next and previous rows.
Views: 3665 Steve Stedman
PL/SQL tutorial 61: Collection Method FIRST & LAST in Oracle Database
 
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------------------------------------------------------------------------ ►►►LINKS◄◄◄ Blog: http://bit.ly/col-method-3 Previous Tutorial ► Intro of Collection Method: https://youtu.be/8V40IaOkGcU ► Collection Method COUNT: https://youtu.be/NNq80CcC5K8 ► Collection Method EXIST: https://youtu.be/ksfwNxZl4gI ------------------------------------------------------------------------- ►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 http://instagram.com/rebellionrider https://plus.google.com/+Rebellionrider http://in.linkedin.com/in/mannbhardwaj/ ___Facebook Official Page of Manish Sharma___ https://www.facebook.com/TheRebellionRider/ ___Facebook Official Page of RebellionRider.com___ https://www.facebook.com/RebellionRider.official/ You can also Email me at for E-mail address please check the 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: 5382 Manish Sharma
SQL Server 2017 Tutorial 5 - GROUP BY Function COUNT MIN MAX SUM AVG
 
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Aggregate functions in SQL Server 2017 using GROUP BY, COUNT, SUM, AVG, MIN, MAX and HAVING. Microsoft aggregates article: https://docs.microsoft.com/en-us/sql/t-sql/functions/aggregate-functions-transact-sql?view=sql-server-2017 Support YPN on Patreon! http://www.patreon.com/YPN Website and Forum: http://yourprogrammingnetwork.co.uk Join us on Facebook! https://www.facebook.com/pages/Your-Programming-Network/280950122022281 Chat on Discord https://discord.gg/br3ZB3f
Difference between rows and range
 
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range vs rows in sql server difference between rows clause and range clause in sql server range clause vs rows clause in sql server sql server running total query running total example in sql server In this video we will discuss the difference between rows and range in SQL Server. This is continuation to Part 116. Please watch Part 116 from SQL Server tutorial before proceeding. Let us understand the difference with an example. We will use the following Employees table in this demo. SQL Script to create the Employees table Create Table Employees ( Id int primary key, Name nvarchar(50), Salary int ) Go Insert Into Employees Values (1, 'Mark', 1000) Insert Into Employees Values (2, 'John', 2000) Insert Into Employees Values (3, 'Pam', 3000) Insert Into Employees Values (4, 'Sara', 4000) Insert Into Employees Values (5, 'Todd', 5000) Go Calculate the running total of Salary and display it against every employee row The following query calculates the running total. We have not specified an explicit value for ROWS or RANGE clause. SELECT Name, Salary, SUM(Salary) OVER(ORDER BY Salary) AS RunningTotal FROM Employees So the above query is using the default value which is RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW This means the above query can be re-written using an explicit value for ROWS or RANGE clause as shown below. SELECT Name, Salary, SUM(Salary) OVER(ORDER BY Salary RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS RunningTotal FROM Employees We can also achieve the same result, by replacing RANGE with ROWS SELECT Name, Salary, SUM(Salary) OVER(ORDER BY Salary ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS RunningTotal FROM Employees What is the difference between ROWS and RANGE To understand the difference we need some duplicate values for the Salary column in the Employees table. Execute the following UPDATE script to introduce duplicate values in the Salary column Update Employees set Salary = 1000 where Id = 2 Update Employees set Salary = 3000 where Id = 4 Go Now execute the following query. Notice that we get the running total as expected. SELECT Name, Salary, SUM(Salary) OVER(ORDER BY Salary ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS RunningTotal FROM Employees The following query uses RANGE instead of ROWS SELECT Name, Salary, SUM(Salary) OVER(ORDER BY Salary RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS RunningTotal FROM Employees Notice we don't get the running total as expected. So, the main difference between ROWS and RANGE is in the way duplicate rows are treated. ROWS treat duplicates as distinct values, where as RANGE treats them as a single entity. All together side by side. The following query shows how running total changes 1. When no value is specified for ROWS or RANGE clause 2. When RANGE clause is used explicitly with it's default value 3. When ROWS clause is used instead of RANGE clause SELECT Name, Salary, SUM(Salary) OVER(ORDER BY Salary) AS [Default], SUM(Salary) OVER(ORDER BY Salary RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS [Range], SUM(Salary) OVER(ORDER BY Salary ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS [Rows] FROM Employees Text version of the video http://csharp-video-tutorials.blogspot.com/2015/10/difference-between-rows-and-range.html Slides http://csharp-video-tutorials.blogspot.com/2015/10/difference-between-rows-and-range_8.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: 32223 kudvenkat
Data analytics with PLSQL analytical functions part 1
 
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Data analysis is the most essential in today's business world. We need to know every details from customer's requirement to modern trends. What product we will bring to market, price of the product everything depends on data analysis. So in this tutorial I have tried to start with simple data analysis on attendance and salary of employees.
Views: 291 Subhroneel Ganguly
Oracle Database11g tutorials 8 || SQL DISTINCT with multiple columns |SQL Distinct with Two columns
 
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This SQL tutorial and Oracle database 11g tutorial for beginners will show how to use SQL DISTINCT keyword with SQL Select clause. This Video is in the continuation of previous video on SQL distinct with one column. In this video we will see How to use SQL distinct with multiple columns and SQL distinct with two columns Tool used in this tutorial is SQL developer. This tutorial series is part of SQL expert exam certification training. If you are preparing for SQL certification you can use my tutorials. This SQL Tutorial is a part of free training. Copy Cloud referral link || Use this link to join copy cloud and get 20GB of free storage https://copy.com?r=j7eYO7 Contacts Email [email protected] Twitter https://twitter.com/rebellionrider Instagram http://instagram.com/rebellionrider Facebook. https://www.facebook.com/imthebhardwaj Linkedin. in.linkedin.com/in/mannbhardwaj/ Thanks for linking, commenting, sharing and watching more of our videos This is Manish From The Code makers
Views: 96726 Manish Sharma
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: 4729 MidnightDBA

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