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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: 375 Database Star
SQL: Analytical Functions
 
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In this tutorial, you'll learn how to use the analytical functions..
Views: 37511 radhikaravikumar
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: 22751 Tech Coach
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: 5063 khaled alkhudari
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: 678 khaled alkhudari
What the PARTITION BY clause does in Analytic Functions Oracle SQL
 
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In this tutorial video we will learn how to use PARTITION BY clause in Analytic Functions Oracle SQL
Views: 1948 Spod ssppoodd
Oracle DENSE_RANK Function
 
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https://www.databasestar.com/oracle-dense_rank/ The Oracle DENSE_RANK function allows you to calculate a rank of a row in a group of rows. It returns this rank as a NUMBER value. This function can be used as either an analytic or an aggregate function, and the syntax depends on how you use it. As an aggregate function it looks like this: DENSE_RANK ( expr, [expr(n)] ) WITHIN GROUP ( ORDER BY (order_expr [ASC|DESC] [NULLS FIRST|LAST] ) These parameters are: - expr: this is the value to search for in a particular table. You can specify multiple search values, and just separate them by a comma. - order_expr: this is used to order the expr values by, because you get a different results depending on what order you rank the values in. - NULLS FIRST or LAST: this is where you can specify if you want to have NULL values appear at the top of your ranking order or at the bottom. As an analytic function, it looks like this: DENSE_RANK() OVER ( [query_partition_clause] order_by_clause) The parameters are: - query_partition_clause: this is the expression that the ranking is “grouped” by, as analytic functions allow you to group data within rows. - order_by_clause: this is the expression to order your results by to determine a rank. For this function, if two records have the same sort or rank position, they will have the same RANK value. It won’t cause a gap in the rankings, unlike the RANK function which does cause a gap. For more information about the Oracle DENSE_RANK function, including all of the SQL shown in this video and the examples, read the related article here: https://www.databasestar.com/oracle-dense_rank/
Views: 440 Database Star
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: 1507 Jennifer Kreie
Create Your First Dashboard in Oracle Analytics Cloud
 
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Create a dashboard, add content, create a prompt, and print a dashboard page in Oracle Analytics Cloud. ================================= To improve the video quality, click the gear icon and set the Quality to 1080p/720p HD. For more information, see http://www.oracle.com/goto/oll and http://docs.oracle.com Copyright © 2017 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.
Oracle Tutorial - Aggregate Functions AVG | SUM | MIN | MAX | COUNT
 
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Oracle Tutorials - Aggregate Functions avg () Sum () Min () Max () Count ()
Views: 89 Tech Acad
Difference between Row Number, Rank and Dense Rank | Oracle SQL Tutorial | Mr.Murali
 
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Views: 11025 Naresh i Technologies
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: 8752 MidnightDBA
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: 2990 Database Star
DENSE_RANK Analytic Function in SQL with an Example
 
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DENSE_RANK() Analytic Function: DENSE_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 two. This is one more than the number of distinct rows that come before this row. Therefore, the numbers returned by the DENSE_RANK function do not have gaps and always have consecutive ranks. The sort order that is used for the whole query determines the order in which the rows appear in a result set.This implies that a row ranked number one does not have to be the first row in the partition. 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,deptno,sal,DENSE_RANK() OVER (PARTITION BY deptno ORDER BY SAL) from emp; Video Explanation: Here 6th row assigned with Rank-5. same for 12,13 rows. So this function always returns consecutive numbers. If you want apply DENSE_RANK() by department wise, we can use PARTITION BY clause. PARTION BY works like GROUP BY in aggregates!
Views: 1478 WingsOfTechnology
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 Partition By clause, Oracle Analytic Functions tutorial
 
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Oracle Analytic Functions and Over By Partition clause enable calculating cumulative and moving aggregates returning multiple rows for each group
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: 62106 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: 3037 Query Light
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: 7954 Lecture Snippets
SQL Partition By Explained
 
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Using Oracle's SQL, I'll explain how to use Partition By. This will be similar in other SQL engines that have the Partition By keyword.
Views: 31956 Pretty Printed
12 of 15 SQL Basics with Oracle - Aggregate (grouping) functions and the GROUP BY clause
 
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This video explains the GROUP BY clause and some of the aggregate functions: sum, count, average, maximum, minimum, count(distinct ...), etc. An example of using an aggregate function would be to group students by major and only show the number of students in each major, not individual student information. (12 of 15) There is also an "Advanced SQL" series. (Search for "databasemec" for tutorials using SQL Server.)
Views: 5566 Jennifer Kreie
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: 1116 The Magic of SQL
FIRST_VALUE and LAST_VALUE Analytic Functions in Oracle Database
 
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FIRST_VALUE and LAST_VALUE in Oracle Database Oracle FIRST Function Oracle last Function
Views: 102 Adam Tech
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: 739 ORACLE-BASE.com
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: 6928 WingsOfTechnology
2  Oracle Warehouse Analytic Workspace OLAP 11g Dimensions
 
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This module will introduce you to Analytic Workspace Manager for Oracle OLAP 11g. First, start out by creating an analytic workspace with logical dimension and cube objects. Afterwards, map these objects with existing star, snowflake, and normalized sources and then load the data. Lesson 2 -- Defining analytic workspace Lesson 3 -- Defining dimensions datasource.dmp http://www.4shared.com/file/nHYnJATY/datasource.html awm projet.pdf http://www.4shared.com/office/DtKgej-A/awm_projet.html
Views: 8410 EL-MAHJOUB Eddoua
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: 90451 kudvenkat
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: 479 Tech Query Pond
Analytical Functions   ORACLE  SQL
 
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Analytical Functions ORACLE SQL
Views: 206 Zain Mohamed
ORACLE SQL INTERVIEW QUESTION : HOW TO SELECT ODD OR EVEN ROWS FROM A TABLE IN ORACLE
 
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This video tutorial answers the frequently asked interview question, how to select only odd or even records in oracle sql, after watching this video you will understand more on the topic and will be able to answer this interview question with a lot of confidence.
Views: 4527 Kishan Mashru
SQL Tutorial - Window Functions
 
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For the best book on T-SQL click here: https://www.amazon.co.uk/gp/product/0735685045/ref=as_li_tl?ie=UTF8&camp=1634&creative=6738&creativeASIN=0735685045&linkCode=as2&tag=beardeddev-21&linkId=2e450454659d4279f54dd188d24bc011 Another fantastic SQL Tutorial brought to you by BeardedDev. In this video we begin to explore Window Functions and their purpose within SQL Server. Window Functions are used for performing data analysis calculations and address an important need compared to the GROUP BY clause that we are able to return the underlying data in the same query. This video shows an example of the differences between the GROUP BY clause and Window Functions. Window Functions were first introduced in SQL Server 2005 but further enhancements and support was added in SQL Server 2012. We look at the OVER clause and PARTITION BY. Window Functions can only be included within SELECT or ORDER BY clauses. Functions Available: Aggregate - COUNT, SUM, MIN, MAX, AVG Offset - FIRST_VALUE, LAST_VALUE, LEAD, LAG Statistical - PERCENT_RANK, CUME_DIST, PERCENTILE_CONT, PERCENTILE_DIST Windows Functions also have FRAMES ROWS RANGE Window Functions are a powerful tool within SQL Server and I am excited to bring more videos and tutorials working with Window Functions in the future. Code: WITH CTE AS ( SELECT Sales_Id , SUM(Line_Total) AS Total FROM Sales_Details GROUP BY Sales_Id ) SELECT * FROM CTE AS A INNER JOIN Sales_Details AS B ON A.Sales_Id = B.Sales_Id SELECT Sales_Id , Sales_Date , Item , Price , Quantity , Line_Total , COUNT(Line_Total) OVER(PARTITION BY Sales_Id) AS Line_Count , SUM(Line_Total) OVER(PARTITION BY Sales_Id) AS Sales_Total , SUM(Line_Total) OVER(PARTITION BY Sales_Date) AS Daily_Total , SUM(Line_Total) OVER() AS Total FROM Sales_Details ORDER BY Sales_Total
Views: 12216 BeardedDev
Ask TOM Office Hours: SQL Analytics and Pattern Matching
 
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Held on February 8, 2018 Learn how to make the most of SQL with Chris Saxon, of the AskTOM answer team. Keith Laker joins Chris in this session focusing on problems you can solve using SQL analytic functions. It will also show you can use 12c's pattern matching (match_recognize) to solve these problems in another way. AskTOM Office Hours offers free, monthly training and tips on how to make the most of Oracle Database, from Oracle product managers, developers and evangelists. https://asktom.oracle.com/ Oracle Developers portal: https://developer.oracle.com/ Sign up for an Oracle Cloud trial: https://cloud.oracle.com/en_US/tryit music: bensound.com
Views: 555 Oracle Developers
Leaner, Faster Code with Advanced SQL Techniques
 
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Connor Mcdonald, Developer Advocate for SQL, Oracle Most SQL is so simple to write that we can hand off the job to an ORM tool or a similar mechanism. But by delving a little deeper into more-advanced SQL facilities, we can get performance benefits and write a lot less middle-tier code. This session highlights some SQL techniques for solving problems that would otherwise require a lot of complex coding. Learn how to become a more productive developer by expanding your knowledge of the SQL language.
Views: 6047 Oracle Developers
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: 85541 kudvenkat
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  Aggregate functions
 
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Aggregate Funtion: MACSMVS max,avg,count,sum,min, variance, stddev
Views: 1001 Jide James
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: 20472 Kishan Mashru
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: 9267 Adam Tech
KISS series on Analytics: 13 FIRST_VALUE / LAST_VALUE in WINDOWS
 
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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 discovering the boundary values as defined by a WINDOW The sample problem we'll solve is: Compare life expectancy through the ages, with boundary value 5 years either side of the current value. Scripts: https://livesql.oracle.com/apex/livesql/file/content_CTQ60ECMLQDBA256F79UY1YZ5.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: 1074 Connor McDonald
Tutorial#53  Count and Sum  Aggregate Function in Oracle SQL Database| Group by Function in SQL
 
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Explaining How to get Count and Sum Value in Oracle Database in others words what is the aggregate function in Oracle or what are the types of aggregate function in SQL An Aggregate function is a function where the values of multiple rows are grouped together to form a single value of more significant meaning or measurements such as a set, a bag or a list or Aggregate Function in Oracle SQL Database or Aggregate Function in SQL or How to use Count and sum Aggregate Function in Oracle or Types of Aggregate function in SQL Assignment: Assignment link will be available soon: SQL basics, create table oracle, SQL functions, SQL queries, SQL server, SQL developer installation, Oracle database installation, SQL Statement, OCA, Data Types, Types of data types, SQL Logical Operator, SQL Function,Join- Inner Join, Outer join, right outer join, left outer join, full outer join, self-join, cross join, View, SubQuery, Set Operator. Follow me on: Facebook Page: https://www.facebook.com/LrnWthr-319371861902642/?ref=bookmarks Contacts Email: [email protected] Instagram: https://www.instagram.com/equalconnect/ Twitter: https://twitter.com/LrnWthR
Views: 27 EqualConnect Coach
Oracle Sql Group By Clause
 
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This is video for oracle sql group by clause, you can learn easily with this video.. You can get knowledge about group by, having clause with real time examples.
Views: 4350 manmeet singh
Running Sum using Oracle
 
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Running Sum using Oracle
Views: 1386 CONNECT TO LEARN
Oracle SQL Function Part- 2 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......
SQL Tutorial 12 Advanced Subqueries returning multiple columns
 
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SQL Tutorial on Advanced Subqueries returning multiple columns Check out our website: http://www.telusko.com Follow Telusko on Twitter: https://twitter.com/navinreddy20 Follow on Facebook: Telusko : https://www.facebook.com/teluskolearnings Navin Reddy : https://www.facebook.com/navintelusko Follow Navin Reddy on Instagram: https://www.instagram.com/navinreddy20 Subscribe to our other channel: Navin Reddy : https://www.youtube.com/channel/UCxmkk8bMSOF-UBF43z-pdGQ?sub_confirmation=1 Telusko Hindi : https://www.youtube.com/channel/UCitzw4ROeTVGRRLnCPws-cw?sub_confirmation=1
Views: 64533 Telusko
Machine Learning with Oracle Analytics Cloud
 
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Demonstration show how to train, evaluate and apply a Machine Learning model using Oracle Analytics Cloud.
Views: 838 Mats Stellwall
LISTAGG in Oracle
 
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The theoretic description related to LISTAGG in Oracle to achieve the required which is shown in the Video.
Views: 1308 Techie Rajesh
SQL with Oracle 10g XE - Using GROUP BY to Group Results of a Query
 
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In this video I use the GROUP BY clause to organize the results of a function by groups or categories. If you are looking to run a function on a column and have those results grouped together then you will need to use the GROUP BY clause to run the query. This video is part of a series of videos with the purpose of learning the SQL language. For more information visit Lecture Snippets at http://lecturesnippets.com.
Views: 5725 Lecture Snippets
Changing calculation logic based on a column
 
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This video demonstrated how to change the logic of a given row calculation based on the value in another column. You may run in to a scenerion where you need to implement this when you have a requirement that the rows with one dimension value have logic "X" (for instance Mean) and the the rows with a different dimension value have logic "Y" (for instance a Median) assigned. This is accomplished with the Switch (Case) expression in the OBIEE formula builder.
Views: 8624 Justin W. Steigerwalt