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SQL Partition By Explained
 
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Using Oracle's SQL, I'll explain how to use Partition By. This will be similar in other SQL engines that have the Partition By keyword.
Views: 25334 Pretty Printed
Oracle Partition By clause, Oracle Analytic Functions tutorial
 
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More about analytic functions, visit http://www.learn-with-video-tutorials.com Oracle Analytic Functions and Over By Partition clause enable calculating cumulative and moving aggregates returning multiple rows for each group.
Over clause in SQL Server
 
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over partition by in sql server 2008 sql server over clause partition partition by clause in sql server 2008 over partition by clause in sql In this video we will discuss the power and use of Over clause in SQL Server. The OVER clause combined with PARTITION BY is used to break up data into partitions. Syntax : function (...) OVER (PARTITION BY col1, Col2, ...) The specified function operates for each partition. For example : COUNT(Gender) OVER (PARTITION BY Gender) will partition the data by GENDER i.e there will 2 partitions (Male and Female) and then the COUNT() function is applied over each partition. Any of the following functions can be used. Please note this is not the complete list. COUNT(), AVG(), SUM(), MIN(), MAX(), ROW_NUMBER(), RANK(), DENSE_RANK() etc. Example : SQl Script to create Employees table Create Table Employees ( Id int primary key, Name nvarchar(50), Gender nvarchar(10), Salary int ) Go Insert Into Employees Values (1, 'Mark', 'Male', 5000) Insert Into Employees Values (2, 'John', 'Male', 4500) Insert Into Employees Values (3, 'Pam', 'Female', 5500) Insert Into Employees Values (4, 'Sara', 'Female', 4000) Insert Into Employees Values (5, 'Todd', 'Male', 3500) Insert Into Employees Values (6, 'Mary', 'Female', 5000) Insert Into Employees Values (7, 'Ben', 'Male', 6500) Insert Into Employees Values (8, 'Jodi', 'Female', 7000) Insert Into Employees Values (9, 'Tom', 'Male', 5500) Insert Into Employees Values (10, 'Ron', 'Male', 5000) Go Write a query to retrieve total count of employees by Gender. Also in the result we want Average, Minimum and Maximum salary by Gender. This can be very easily achieved using a simple GROUP BY query as show below. SELECT Gender, COUNT(*) AS GenderTotal, AVG(Salary) AS AvgSal, MIN(Salary) AS MinSal, MAX(Salary) AS MaxSal FROM Employees GROUP BY Gender What if we want non-aggregated values (like employee Name and Salary) in result set along with aggregated values You cannot include non-aggregated columns in the GROUP BY query. SELECT Name, Salary, Gender, COUNT(*) AS GenderTotal, AVG(Salary) AS AvgSal, MIN(Salary) AS MinSal, MAX(Salary) AS MaxSal FROM Employees GROUP BY Gender The above query will result in the following error : Column 'Employees.Name' is invalid in the select list because it is not contained in either an aggregate function or the GROUP BY clause One way to achieve this is by including the aggregations in a subquery and then JOINING it with the main query as shown in the example below. Look at the amount of T-SQL code we have to write. SELECT Name, Salary, Employees.Gender, Genders.GenderTotals, Genders.AvgSal, Genders.MinSal, Genders.MaxSal FROM Employees INNER JOIN (SELECT Gender, COUNT(*) AS GenderTotals, AVG(Salary) AS AvgSal, MIN(Salary) AS MinSal, MAX(Salary) AS MaxSal FROM Employees GROUP BY Gender) AS Genders ON Genders.Gender = Employees.Gender Better way of doing this is by using the OVER clause combined with PARTITION BY SELECT Name, Salary, Gender, COUNT(Gender) OVER(PARTITION BY Gender) AS GenderTotals, AVG(Salary) OVER(PARTITION BY Gender) AS AvgSal, MIN(Salary) OVER(PARTITION BY Gender) AS MinSal, MAX(Salary) OVER(PARTITION BY Gender) AS MaxSal FROM Employees Text version of the video http://csharp-video-tutorials.blogspot.com/2015/09/over-clause-in-sql-server.html Slides http://csharp-video-tutorials.blogspot.com/2015/09/over-clause-in-sql-server_29.html All SQL Server Text Articles http://csharp-video-tutorials.blogspot.com/p/free-sql-server-video-tutorials-for.html All SQL Server Slides http://csharp-video-tutorials.blogspot.com/p/sql-server.html All Dot Net and SQL Server Tutorials in English https://www.youtube.com/user/kudvenkat/playlists?view=1&sort=dd All Dot Net and SQL Server Tutorials in Arabic https://www.youtube.com/c/KudvenkatArabic/playlists
Views: 80182 kudvenkat
02 How to configure Rang partition In oracle database
 
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Now a days enterprises run databases of hundred of Gigabytes in size. These databases are known as Very Large Databases (VLDB). From Oracle Ver. 8.0 Oracle has provided the feature of table partitioning i.e. you can partition a table according to some criteria . For example you have a SALES table with the following structure Suppose this table contains millions of records, but all the records belong to four years only i.e. 1991, 1992, 1993 and 1994. And most of the time you are concerned about only one year i.e. you give queries like the following select sum(amt) from sales where year=1991; select product,sum(amt) from sales where year=1992 Group by product; Now whenever you give queries like this Oracle will search the whole table. If you partition this table according to year, then the performance is improve since oracle will scan only a single partition instead of whole table. This type of partitioning is useful when dealing with data that has logical ranges into which it can be distributed; for example, value of year. Performance is best when the data evenly distributes across the range
Views: 1813 OnLinE ReSoUrCe
01 Overview of table Partition in oracle
 
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Partitioning enhances the performance, manageability, and availability of a wide variety of applications and helps reduce the total cost of ownership for storing large amounts of data. Partitioning allows tables, indexes, and index-organized tables to be subdivided into smaller pieces, enabling these database objects to be managed and accessed at a finer level of granularity. Oracle provides a rich variety of partitioning strategies and extensions to address every business requirement. Moreover, since it is entirely transparent, partitioning can be applied to almost any application without the need for potentially expensive and time consuming application changes. Partitioning allows a table, index, or index-organized table to be subdivided into smaller pieces, where each piece of such a database object is called a partition. Each partition has its own name, and may optionally have its own storage characteristics. From the perspective of a database administrator, a partitioned object has multiple pieces that can be managed either collectively or individually. This gives the administrator considerable flexibility in managing partitioned objects. However, from the perspective of the application, a partitioned table is identical to a non-partitioned table; no modifications are necessary when accessing a partitioned table using SQL queries and DML statements. Partitioning Key ======================== Each row in a partitioned table is unambiguously assigned to a single partition. The partitioning key is comprised of one or more columns that determine the partition where each row will be stored. Oracle automatically directs insert, update, and delete operations to the appropriate partition through the use of the partitioning key. When to Partition a Table ========================== Here are some suggestions for when to partition a table: Tables greater than 2 GB should always be considered as candidates for partitioning. Tables containing historical data, in which new data is added into the newest partition. A typical example is a historical table where only the current month's data is updatable and the other 11 months are read only. When the contents of a table need to be distributed across different types of storage devices. When to Partition an Index ============================= Here are some suggestions for when to consider partitioning an index: Avoid rebuilding the entire index when data is removed. Perform maintenance on parts of the data without invalidating the entire index. Reduce the impact of index skew caused by an index on a column with a monotonically increasing value. Partitioned Index-Organized Tables =================================== Partitioned index-organized tables are very useful for providing improved performance, manageability, and availability for index-organized tables. For partitioning an index-organized table: ============================================ Partition columns must be a subset of the primary key columns Secondary indexes can be partitioned (both locally and globally) OVERFLOW data segments are always equi-partitioned with the table partitions See Also: Oracle Database Concepts for more information about index-organized tables System Partitioning System partitioning enables application-controlled partitioning without having the database controlling the data placement. The database simply provides the ability to break down a table into partitions without knowing what the individual partitions are going to be used for. All aspects of partitioning have to be controlled by the application. For example, an insertion into a system partitioned table without the explicit specification of a partition will fail. System partitioning provides the well-known benefits of partitioning (scalability, availability, and manageability), but the partitioning and actual data placement are controlled by the application. See Also: Oracle Database Data Cartridge Developer's Guide for more information about system partitioning Partitioning for Information Lifecycle Management Information Lifecycle Management (ILM) is concerned with managing data during its lifetime. Partitioning plays a key role in ILM because it enables groups of data (that is, partitions) to be distributed across different types of storage devices and managed individually.
Views: 6706 OnLinE ReSoUrCe
Oracle sql Interview Question : How to change rows to column
 
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This video tutorial talks about the frequently asked oracle sql interview question of changing rows to the column. Based on the given scenario, we are asked to change the presentation of data in a table with 3 rows and 2 column to 3 columns and 2 rows. Decode Function in oracle https://youtu.be/YUAjPMjqMws Pivot and unpivot in oracle https://youtu.be/6s0DI1YcWIM
Views: 12467 Kishan Mashru
Creating range partition in Oracle 12c - Part 1
 
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Partition makes a table access faster in case of very large table. In this tutorial we have tried to demonstrate the range partition on date.
Views: 98 Subhroneel Ganguly
Advanced SQL Queries in Oracle and SQL Server - What is PARTITION BY?
 
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This video clip, on the PARTITION BY Clause used with analytic functions, is taken from my www.pluralsight.com course "Advanced SQL Queries in Oracle and SQL Server". Click here to learn more about this course: http://www.pluralsight.com/courses/adv-sql-queries-oracle-sql-server?utm_source=youtube&utm_medium=video&utm_campaign=authordemo.
Views: 5320 sheepsqueezersYT
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: 7477 BeardedDev
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: 14010 Tech Coach
SQL tutorial 62: Indexes In Oracle Database By Manish Sharma RebellionRider
 
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Watch and learn concepts of SQL Index In Oracle Database. In this tutorial you will learn about B-Tree Index and Function based Index. ------------------------------------------------------------------------ ►►►LINKS◄◄◄ Blog : Previous Tutorial ► ------------------------------------------------------------------------- ►►►Help Me In Getting A Job◄◄◄ ►Help Me In Getting A Good Job By Connecting With Me on My LinkedIn and Endorsing My Skills. All My Contact Info is Down Below. You Can Also Refer Me To Your Company Thanks ------------------------------------------------------------------------- Copy Cloud referral link || Use this link to join copy cloud and get 20GB of free storage https://copy.com?r=kb4rc1 -------------------------------------------------------------------------- ►Make sure you SUBSCRIBE and be the 1st one to see my videos! -------------------------------------------------------------------------- Amazon Wishlist: http://bit.ly/wishlist-amazon ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ►►►Find me on Social Media◄◄◄ Follow What I am up to as it happens on https://twitter.com/rebellionrider https://www.facebook.com/imthebhardwaj http://instagram.com/rebellionrider https://plus.google.com/+Rebellionrider http://in.linkedin.com/in/mannbhardwaj/ http://rebellionrider.tumblr.com/ http://www.pinterest.com/rebellionrider/ You can also Email me at for E-mail address please check About section Please please LIKE and SHARE my videos it makes me happy. Thanks for liking, commenting, sharing and watching more of our videos This is Manish from RebellionRider.com ♥ I LOVE ALL MY VIEWERS AND SUBSCRIBERS
Views: 39477 Manish Sharma
sub partitioning in oracle  or composite partitioning in Oracle RANGE-LIST, RANGE-HASH
 
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sub partitioning in oracle or composite partitioning 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: 442 TechLake
Hash Partition in Oracle
 
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This course has been designed to impart the in-depth knowledge about the partitioning types and architecture in the Oracle RDBMS. For more information on this course, please visit https://www.koenig-solutions.com/oracle-database-12-c-implement-partitioning-training.aspx
Views: 52 Koenig Solutions
Oracle Optimization - Table Partitions
 
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Oracle optimization: create table partitions and Index-Organized Table. Other lessons, visit http://www.learn-with-video-tutorials.com/plsql-oracle-optimization
Merge Statement in Oracle SQL with Example (UPDATE/DELETE or INSERT)
 
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This video demonstrates how to write a Merge Statement in oracle sql, how it is useful in doing a conditional update or delete or both of them when the condition between the target table and source table is evaluated to true, and how we can insert the record into the target table when condition is evaluated to false. The video also shows the use of UPDATE, DELETE and INSERT with Merge, and also the various possible ways to use a Merge statement!!!
Views: 7619 Kishan Mashru
SQL tutorial 51: DECODE function in Oracle Database By Manish Sharma (RebellionRider)
 
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SQL Tutorial 51 Decode function in Oracle Database. ● What Is DECODE() ● DECODE ( ) vs CASE ● Syntax of DECODE() ● Query 1. String Matching using DECODE() ● Query 2. DECODE() comparing values form the COLUMN of the table Celebrating 1000 subscribers. Thanks a lot guys for all your love and support. ------------------------------------------------------------------------ ►►►LINKS◄◄◄ Blog: ------------------------------------------------------------------------- Copy Cloud referral link || Use this link to join copy cloud and get 20GB of free storage https://copy.com?r=kb4rc1 -------------------------------------------------------------------------- ►Make sure you SUBSCRIBE and be the first one to see my videos! -------------------------------------------------------------------------- Amazon Wishlist: http://bit.ly/wishlist-amazon ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ►►►Find me on Social Media◄◄◄ Follow What I am up to as it happens on https://twitter.com/rebellionrider https://www.facebook.com/imthebhardwaj http://instagram.com/rebellionrider https://plus.google.com/+Rebellionrider http://in.linkedin.com/in/mannbhardwaj/ http://rebellionrider.tumblr.com/ http://www.pinterest.com/rebellionrider/ You can also Email me at [email protected] Please please LIKE and SHARE my videos it makes me happy. Thanks for liking, commenting, sharing and watching more of our videos This is Manish from RebellionRider.com ♥ I LOVE ALL MY VIEWERS AND SUBSCRIBERS
Views: 32701 Manish Sharma
Oracle Partitioning - Introduction
 
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Oracle Partitioning - Introduction
Views: 1287 The Silent DBA
Combined use ORDER BY and PARTITION BY clauses together in Oracle SQL
 
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In this video tutorial we will learn piecing the ORDER BY and PARTITION BY clauses in Oracle SQL
Views: 50 Spod ssppoodd
How to use partitioning to improve performance of large tables
 
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In this video we cover in much more detail the improvement in performance that can be achieved by using partitioning. MS SQL server databases can scale well using this feature. We cover how partitioning a table gives similar performance as a single table with a clustered index, we then explore how adding NC index improve performance of the heap table as well as the partitioned table.
Views: 17427 Jayanth Kurup
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: 17026 Kishan Mashru
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: 3811 khaled alkhudari
ORACLE Analytic Functions for Data Warehousing 2/ Arabic
 
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ORACLE Analytic Functions for Data Warehousing 2/ Arabic FIRST_VALUE last_VALUE row_number() --FIRST_VALUE and LAST_VALUE Analytic Functions select EMPLOYEE_ID, FIRST_NAME, HIRE_DATE from employees order by hire_date; select EMPLOYEE_ID, FIRST_NAME, HIRE_DATE , min(HIRE_DATE) over ( ) first_HIRE_DATE from employees select EMPLOYEE_ID, FIRST_NAME, HIRE_DATE , FIRST_VALUE(HIRE_DATE) over ( ) first_HIRE_DATE from employees order by hire_date; select EMPLOYEE_ID, FIRST_NAME, HIRE_DATE , max(HIRE_DATE ) over ( ) last_HIRE_DATE from employees select EMPLOYEE_ID, FIRST_NAME, HIRE_DATE , last_VALUE(HIRE_DATE ) over ( ) last_HIRE_DATE from employees order by HIRE_DATE drop table student_exam_result; CREATE TABLE student_exam_result (student_id number, exame_name varchar2(100), exame_try number, exame_results number ); insert into student_exam_result values(1,'calcluas',1,50); insert into student_exam_result values(1,'calcluas',2,66); insert into student_exam_result values(1,'calcluas',3,20); insert into student_exam_result values(2,'calcluas',1,66); insert into student_exam_result values(2,'calcluas',2,null); insert into student_exam_result values(2,'calcluas',3,7); insert into student_exam_result values(3,'calcluas',1,50); insert into student_exam_result values(3,'calcluas',2,98); insert into student_exam_result values(3,'calcluas',3,null); select * from student_exam_result select student_id, exame_name,exame_try,exame_results, last_value(exame_results) IGNORE NULLS over (PARTITION BY student_id, exame_name ) last_grade from student_exam_result order by student_id, exame_name, exame_try select student_id, exame_name,exame_try,exame_results, last_value(exame_results) IGNORE NULLS over (PARTITION BY student_id, exame_name ) last_grade, max(exame_results) over (PARTITION BY student_id, exame_name ) max_grade, avg(exame_results) over (PARTITION BY student_id, exame_name ) avg_grade from student_exam_result order by student_id, exame_name, exame_try ------------------------ select employee_id,first_name ,row_number() over(order by employee_id ) from employees select employee_id,first_name ,rownum from employees select employee_id,first_name ,department_id, row_number() over(partition by department_id order by employee_id ) from employees
Views: 556 khaled alkhudari
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: 4677 MidnightDBA
List Partitioning in Oracle
 
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Understanding and creating list partition
Views: 51 Koenig Solutions
ORACLE Analytic Functions for Data Warehousing 3/ Arabic
 
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ORACLE Analytic Functions for Data Warehousing 3/ Arabic RANK() VS DENSE_RANK() select employee_id, first_name, salary from employees where DEPARTMENT_ID=30 order by salary desc; select employee_id, first_name, salary , rank() OVER ( ORDER BY salary desc) from employees where DEPARTMENT_ID=30 select employee_id, first_name, salary , rank() OVER ( ORDER BY salary desc) from employees select employee_id, first_name, salary , DENSE_rank() OVER ( ORDER BY salary desc) from employees select * from ( select employee_id, first_name, salary , DENSE_rank() OVER ( ORDER BY salary desc) from employees ) where first_name='Alberto' select employee_id, first_name, salary , department_id , DENSE_rank() OVER ( partition by department_id ORDER BY salary desc) from employees ---------------------- select employee_id, first_name, salary , DENSE_rank() OVER ( ORDER BY salary desc) from employees SELECT DENSE_RANK(9150) WITHIN GROUP (ORDER BY salary desc ) "Rank" FROM employees;
Views: 628 khaled alkhudari
NTILE function in SQL Server
 
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In this video we will discuss NTILE function in SQL Server NTILE function 1. Introduced in SQL Server 2005 2. ORDER BY Clause is required 3. PARTITION BY clause is optional 4. Distributes the rows into a specified number of groups 5. If the number of rows is not divisible by number of groups, you may have groups of two different sizes. 6. Larger groups come before smaller groups For example NTILE(2) of 10 rows divides the rows in 2 Groups (5 in each group) NTILE(3) of 10 rows divides the rows in 3 Groups (4 in first group, 3 in 2nd & 3rd group) Syntax : NTILE (Number_of_Groups) OVER (ORDER BY Col1, Col2, ...) SQL Script to create Employees table Create Table Employees ( Id int primary key, Name nvarchar(50), Gender nvarchar(10), Salary int ) Go Insert Into Employees Values (1, 'Mark', 'Male', 5000) Insert Into Employees Values (2, 'John', 'Male', 4500) Insert Into Employees Values (3, 'Pam', 'Female', 5500) Insert Into Employees Values (4, 'Sara', 'Female', 4000) Insert Into Employees Values (5, 'Todd', 'Male', 3500) Insert Into Employees Values (6, 'Mary', 'Female', 5000) Insert Into Employees Values (7, 'Ben', 'Male', 6500) Insert Into Employees Values (8, 'Jodi', 'Female', 7000) Insert Into Employees Values (9, 'Tom', 'Male', 5500) Insert Into Employees Values (10, 'Ron', 'Male', 5000) Go NTILE function without PARTITION BY clause : Divides the 10 rows into 3 groups. 4 rows in first group, 3 rows in the 2nd & 3rd group. SELECT Name, Gender, Salary, NTILE(3) OVER (ORDER BY Salary) AS [Ntile] FROM Employees What if the specified number of groups is GREATER THAN the number of rows NTILE function will try to create as many groups as possible with one row in each group. With 10 rows in the table, NTILE(11) will create 10 groups with 1 row in each group. SELECT Name, Gender, Salary, NTILE(11) OVER (ORDER BY Salary) AS [Ntile] FROM Employees NTILE function with PARTITION BY clause : When the data is partitioned, NTILE function creates the specified number of groups with in each partition. The following query partitions the data into 2 partitions (Male & Female). NTILE(3) creates 3 groups in each of the partitions. SELECT Name, Gender, Salary, NTILE(3) OVER (PARTITION BY GENDER ORDER BY Salary) AS [Ntile] FROM Employees Link for all dot net and sql server video tutorial playlists https://www.youtube.com/user/kudvenkat/playlists?sort=dd&view=1 Link for slides, code samples and text version of the video http://csharp-video-tutorials.blogspot.com/2015/10/ntile-function-in-sql-server.html
Views: 35859 kudvenkat
Hierarchical Queries in Oracle/ عربي
 
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start with & connect by prior Hierarchical Queries in Oracle ملاحظه : اشارة الاكبر غير مسموحة في الوصف --1--- select employee_id, first_name,last_name,manager_id from employees; --2--- select employee_id, first_name,last_name,manager_id from employees where manager_id=100; --3--- select employee_id, first_name,last_name,manager_id from employees where manager_id=101; --4--- select employee_id, first_name,last_name,manager_id from employees where manager_id=108; --5--- select employee_id, first_name,last_name,manager_id from employees where manager_id in (109,110,111,112,113) --6--- select employee_id, first_name,last_name,manager_id from employees start with employee_id=100 connect by prior employee_id=manager_id --top down --7--- select employee_id, first_name,last_name,manager_id from employees start with employee_id=113 connect by prior manager_id =employee_id --buttom up --8--- --let us take this and try to do nice thing --Neena Kochhar work for Steven King select employee_id, first_name,last_name,manager_id from employees start with employee_id=100 connect by prior employee_id=manager_id --top down --9--- select first_name||' '||last_name ||' work for '|| (select first_name||' '||last_name from employees e where e.employee_id=a.manager_id ) from employees a start with employee_id=100 connect by prior employee_id=manager_id --top down --10--- select first_name||' '||last_name ||' work for '|| prior first_name||' '||prior last_name from employees start with employee_id=100 connect by prior employee_id=manager_id --top down --11--- select level,employee_id, first_name,last_name,manager_id from employees start with employee_id=100 connect by prior employee_id=manager_id --top down --1 mean root --2 mean child of root --3 mean child of child , and so on --12--- select level,employee_id, first_name,last_name,manager_id from employees where level=2 start with employee_id=100 connect by prior employee_id=manager_id --13--- select lpad ('khaled',10, 0) from dual --14--- select level, case when level=1 then first_name||' '||last_name when level Greater sign 1 then lpad (first_name||' '||last_name,length(first_name||' '||last_name)+level-1, '-') end tree from employees start with employee_id=100 connect by prior employee_id=manager_id --top down ---------------------- --15--- select employee_id, first_name,last_name,manager_id from employees start with employee_id=100 connect by prior employee_id=manager_id --top down --16--- select employee_id, first_name,last_name,manager_id from employees start with employee_id=100 connect by manager_id= prior employee_id --top down
Views: 2293 khaled alkhudari
HAVING clause and difference with GROUP BY & WHERE clause in SQL statement
 
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Using HAVING clause and difference with GROUP BY & WHERE clause in SQL statement Link for scripts on my blog: https://sqlwithmanoj.com/2015/05/23/sql-basics-difference-between-where-group-by-and-having-clause/ Check the whole "SQL Server Basics" series here: https://www.youtube.com/playlist?list=PLU9JMEzjCv14f3cWDhubPaddxRvx1reKR Check my SQL blog at: http://sqlwithmanoj.com/ Check my SQL FB Page at: https://www.facebook.com/sqlwithmanoj
Views: 57417 SQL with Manoj
Rank and Dense Rank in SQL Server
 
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rank and dense_rank example difference between rank and dense_rank with example rank vs dense_rank in sql server 2008 sql server difference between rank and dense_rank In this video we will discuss Rank and Dense_Rank functions in SQL Server Rank and Dense_Rank functions Introduced in SQL Server 2005 Returns a rank starting at 1 based on the ordering of rows imposed by the ORDER BY clause ORDER BY clause is required PARTITION BY clause is optional When the data is partitioned, rank is reset to 1 when the partition changes Difference between Rank and Dense_Rank functions Rank function skips ranking(s) if there is a tie where as Dense_Rank will not. For example : If you have 2 rows at rank 1 and you have 5 rows in total. RANK() returns - 1, 1, 3, 4, 5 DENSE_RANK returns - 1, 1, 2, 3, 4 Syntax : RANK() OVER (ORDER BY Col1, Col2, ...) DENSE_RANK() OVER (ORDER BY Col1, Col2, ...) RANK() and DENSE_RANK() functions without PARTITION BY clause : In this example, data is not partitioned, so RANK() function provides a consecutive numbering except when there is a tie. Rank 2 is skipped as there are 2 rows at rank 1. The third row gets rank 3. DENSE_RANK() on the other hand will not skip ranks if there is a tie. The first 2 rows get rank 1. Third row gets rank 2. SELECT Name, Salary, Gender, RANK() OVER (ORDER BY Salary DESC) AS [Rank], DENSE_RANK() OVER (ORDER BY Salary DESC) AS DenseRank FROM Employees RANK() and DENSE_RANK() functions with PARTITION BY clause : Notice when the partition changes from Female to Male Rank is reset to 1 SELECT Name, Salary, Gender, RANK() OVER (PARTITION BY Gender ORDER BY Salary DESC) AS [Rank], DENSE_RANK() OVER (PARTITION BY Gender ORDER BY Salary DESC) AS DenseRank FROM Employees Use case for RANK and DENSE_RANK functions : Both these functions can be used to find Nth highest salary. However, which function to use depends on what you want to do when there is a tie. Let me explain with an example. If there are 2 employees with the FIRST highest salary, there are 2 different business cases 1. If your business case is, not to produce any result for the SECOND highest salary, then use RANK function 2. If your business case is to return the next Salary after the tied rows as the SECOND highest Salary, then use DENSE_RANK function Since we have 2 Employees with the FIRST highest salary. Rank() function will not return any rows for the SECOND highest Salary. WITH Result AS ( SELECT Salary, RANK() OVER (ORDER BY Salary DESC) AS Salary_Rank FROM Employees ) SELECT TOP 1 Salary FROM Result WHERE Salary_Rank = 2 Though we have 2 Employees with the FIRST highest salary. Dense_Rank() function returns, the next Salary after the tied rows as the SECOND highest Salary WITH Result AS ( SELECT Salary, DENSE_RANK() OVER (ORDER BY Salary DESC) AS Salary_Rank FROM Employees ) SELECT TOP 1 Salary FROM Result WHERE Salary_Rank = 2 You can also use RANK and DENSE_RANK functions to find the Nth highest Salary among Male or Female employee groups. The following query finds the 3rd highest salary amount paid among the Female employees group WITH Result AS ( SELECT Salary, Gender, DENSE_RANK() OVER (PARTITION BY Gender ORDER BY Salary DESC) AS Salary_Rank FROM Employees ) SELECT TOP 1 Salary FROM Result WHERE Salary_Rank = 3 AND Gender = 'Female' Text version of the video http://csharp-video-tutorials.blogspot.com/2015/10/rank-and-denserank-in-sql-server.html Slides http://csharp-video-tutorials.blogspot.com/2015/10/rank-and-denserank-in-sql-server_1.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: 69969 kudvenkat
Find Duplicate Rows in SQL - Select Statement Tutorial
 
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Find duplicate row values in a field or multiple fields in SQL Server table with this tutorial. Do this for one column, or multiple columns. Uses SQL Server Management Studio for the demonstration.
Views: 40898 Edward Kench
Oracle Rowid, RowNum and row_number
 
06:44
Oracle Rowid, RowNum and row_number... Explained in detailed...
Views: 5456 CONNECT TO LEARN
Installing Linux & Windows in Dual Boot: CORRECT PARTITION SCHEME & BOOT LOADER SETUP
 
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In this video, I will cover two important steps of Installing Linux alongside your windows OS. 1) Choosing the correct Partition scheme 2) Setting up your Windows Boot loader to boot to Linux instead of Linux bootloader (e.g : GRUB) During a standard Linux installation, a user do not have to worry about this. But when you are trying to install Linux in separate partition, keeping your current OS, it gets little trickier. If you do not configure these two options correctly, you might end up corrupting your bootloader or previous OS installation. I will also show how you can add your Linux os option to the Windows 8 bootloader using BCDedit. This is important so that in case in future if you decide to get rid of Linux OS, your computer boots normally without any issues.
Views: 78347 XPSTECH
FIRST VALUE function in SQL Server
 
02:48
In this video we will discuss FIRST_VALUE function in SQL Server FIRST_VALUE function Introduced in SQL Server 2012 Retrieves the first value from the specified column ORDER BY clause is required PARTITION BY clause is optional Syntax : FIRST_VALUE(Column_Name) OVER (ORDER BY Col1, Col2, ...) FIRST_VALUE function example WITHOUT partitions : In the following example, FIRST_VALUE function returns the name of the lowest paid employee from the entire table. SELECT Name, Gender, Salary, FIRST_VALUE(Name) OVER (ORDER BY Salary) AS FirstValue FROM Employees FIRST_VALUE function example WITH partitions : In the following example, FIRST_VALUE function returns the name of the lowest paid employee from the respective partition. SELECT Name, Gender, Salary, FIRST_VALUE(Name) OVER (PARTITION BY Gender ORDER BY Salary) AS FirstValue FROM Employees Text version of the video http://csharp-video-tutorials.blogspot.com/2015/10/firstvalue-function-in-sql-server.html Slides http://csharp-video-tutorials.blogspot.com/2015/10/firstvalue-function-in-sql-server_6.html All SQL Server Text Articles http://csharp-video-tutorials.blogspot.com/p/free-sql-server-video-tutorials-for.html All SQL Server Slides http://csharp-video-tutorials.blogspot.com/p/sql-server.html All Dot Net and SQL Server Tutorials in English https://www.youtube.com/user/kudvenkat/playlists?view=1&sort=dd All Dot Net and SQL Server Tutorials in Arabic https://www.youtube.com/c/KudvenkatArabic/playlists
Views: 31640 kudvenkat
Oracle Hints Tutorial for improving performance
 
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Oracle Hints Tutorial for improving performance APPEND PARALLEL JOIN INDEX NO_INDEX SELECT /*+ FIRST_ROWS(10) */ * FROM emp WHERE deptno = 10; SELECT /*+ ALL_ROWS */ * FROM emp WHERE deptno = 10; SELECT /*+ NO_INDEX(emp emp_dept_idx) */ * FROM emp, dept WHERE emp.deptno = dept.deptno; SELECT /*+ INDEX(e,emp_dept_idx) */ * FROM emp e WHERE e.deptno = 10; -- SELECT /*+ INDEX(scott.emp,emp_dept_idx) */ * FROM scott.emp; SELECT /*+ AND_EQUAL(e,emp_dept_idx) */ * FROM emp e; SELECT /*+ INDEX_JOIN(e,emp_dept_idx) */ * FROM emp e; SELECT /*+ PARALLEL_INDEX(e,emp_dept_idx , 8) */ * FROM emp e; SELECT /*+ LEADING (dept) */ * FROM emp, dept WHERE emp.deptno = dept.deptno; SELECT /*+ PARALLEL(8) CACHE (e) FULL (e) */ * FROM emp e ; SELECT /*+ PARALLEL FULL (e) */ * FROM emp e ; SELECT /*+ PARALLEL USE_MERGE (emp dept) */ * FROM emp, dept WHERE emp.deptno = dept.deptno; -- SORT Merge Join SELECT /*+ PARALLEL USE_HASH (emp dept) */ * FROM emp, dept WHERE emp.deptno = dept.deptno; -- Hash Join SELECT /*+ PARALLEL */ * FROM emp e ; INSERT /*+ APPEND */ INTO mytmp select /*+ CACHE (e) */ *from emp e; commit;
Views: 5003 TechLake
LAST VALUE function in SQL Server
 
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last_value function in sql server 2008 sql server last_value function returns incorrect data sql server last_value function example sql server last_value function with partition example LAST_VALUE function in SQL Server In this video we will discuss LAST_VALUE function in SQL Server. LAST_VALUE function Introduced in SQL Server 2012 Retrieves the last value from the specified column ORDER BY clause is required PARTITION BY clause is optional ROWS or RANGE clause is optional, but for it to work correctly you may have to explicitly specify a value Syntax : LAST_VALUE(Column_Name) OVER (ORDER BY Col1, Col2, ...) LAST_VALUE function not working as expected : In the following example, LAST_VALUE function does not return the name of the highest paid employee. This is because we have not specified an explicit value for ROWS or RANGE clause. As a result it is using it's default value RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW. SELECT Name, Gender, Salary, LAST_VALUE(Name) OVER (ORDER BY Salary) AS LastValue FROM Employees LAST_VALUE function working as expected : In the following example, LAST_VALUE function returns the name of the highest paid employee as expected. Notice we have set an explicit value for ROWS or RANGE clause to ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING This tells the LAST_VALUE function that it's window starts at the first row and ends at the last row in the result set. SELECT Name, Gender, Salary, LAST_VALUE(Name) OVER (ORDER BY Salary ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS LastValue FROM Employees LAST_VALUE function example with partitions : In the following example, LAST_VALUE function returns the name of the highest paid employee from the respective partition. SELECT Name, Gender, Salary, LAST_VALUE(Name) OVER (PARTITION BY Gender ORDER BY Salary ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS LastValue FROM Employees Text version of the video http://csharp-video-tutorials.blogspot.com/2015/10/lastvalue-function-in-sql-server.html Slides http://csharp-video-tutorials.blogspot.com/2015/10/lastvalue-function-in-sql-server_9.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 Full SQL Server Course https://www.youtube.com/playlist?list=PL4cyC4G0M1RQ_Rm52cQ4CcOJ_T_HXeMB4 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: 31324 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: 36640 SQL with Manoj
Oracle SQL: Using the select statement by AskTheOracle.net
 
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Learn the basics of the Oracle SQL SELECT statement in just a few minutes - including how to select multiple columns, how to restrict the rows retrieved and how to change the values of columns as you retrieve them. For more Oracle tutorials, see our website at http://www.asktheoracle.net
Views: 1051 asktheoracle1
Understanding the use of GROUP BY clause in SQL
 
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Join discussion: http://www.techtud.com/video-lecture/understanding-group-clause-sql IMPORTANT LINKS: 1) Official Website: http://www.techtud.com/ 2) Virtual GATE: http://virtualgate.in/login/index.php Both of the above mentioned platforms are COMPLETELY FREE, so feel free to Explore, Learn, Practice & Share! Our Social Media Links: Facebook Page: https://www.facebook.com/techtuduniversity Facebook Group: https://www.facebook.com/groups/virtualgate Google+ Page: https://plus.google.com/+techtud/posts Last but not the least, SUBSCRIBE our YouTube channel to stay updated about the regularly uploaded new videos.
Views: 60075 Techtud
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: 54719 kudvenkat
Learn Oracle | How to use the Merge Statement in SQL
 
04:13
Pebbles present, Learn Oracle 10g with Step By Step Video Tutorials. Learn Oracle 10g Tutorial series contains the following videos : Learn Oracle - History of Oracle Learn Oracle - What is Oracle - Why do we need Oracle Learn Oracle - What is a Database Learn Oracle - What is Grid Computing Learn Oracle - What is Normalization Learn Oracle - What is ORDBMS Learn Oracle - What is RDBMS Learn Oracle - Alias Names, Concatenation, Distinct Keyword Learn Oracle - Controlling and Managing User Access (Data Control Language) Learn Oracle - Introduction to SQL Learn Oracle - Oracle 10g New Data Types Learn Oracle - How to Alter a Table using SQL Learn Oracle - How to Create a Package in PL SQL Learn Oracle - How to Create a Report in SQL Plus Learn Oracle - How to Create a Table using SQL - Not Null, Unique Key, Primary Key Learn Oracle - How to Create a Table using SQL Learn Oracle - How to Create a Trigger in PL SQL Learn Oracle - How to Delete Data from a Table using SQL Learn Oracle - How to Drop and Truncate a Table using SQL Learn Oracle - How to Insert Data in a Table using SQL Learn Oracle - How to open ISQL Plus for the first time Learn Oracle - How to Open SQL Plus for the First Time Learn Oracle - How to Update a Table using SQL Learn Oracle - How to use Aggregate Functions in SQL Learn Oracle - How to use Functions in PL SQL Learn Oracle - How to use Group By, Having Clause in SQL Learn Oracle - How to Use Joins, Cross Join, Cartesian Product in SQL Learn Oracle - How to use Outer Joins (Left, Right, Full) in SQL Learn Oracle - How to use the Character Functions, Date Functions in SQL Learn Oracle - How to use the Merge Statement in SQL Learn Oracle - How to use the ORDER BY Clause with the Select Statement Learn Oracle - How to use the SELECT Statement Learn Oracle - How to use the Transactional Control Statements in SQL Learn Oracle - How to use PL SQL Learn Oracle - Data Types in PL SQL Learn Oracle - Exception Handling in PL SQL Learn Oracle - PL SQL Conditional Logics Learn Oracle - PL SQL Cursor Types - Explicit Cursor, Implicit Cursor Learn Oracle - PL SQL Loops Learn Oracle - Procedure Creation in PL SQL Learn Oracle - Select Statement with WHERE Cause Learn Oracle - SQL Operators and their Precedence Learn Oracle - Using Case Function, Decode Function in SQL Learn Oracle - Using Logical Operators in the WHERE Clause of the Select Statement Learn Oracle - Using Rollup Function, Cube Function Learn Oracle - Using Set Operators in SQL Learn Oracle - What are the Different SQL Data Types Learn Oracle - What are the different types of Databases Visit Pebbles Official Website - http://www.pebbles.in Subscribe to our Channel – https://www.youtube.com/channel/UCNNjWVsQqaMYccY044vtHJw?sub_confirmation=1 Engage with us on Facebook at https://www.facebook.com/PebblesChennai Please Like, Share, Comment & Subscribe
Views: 1665 Pebbles Tutorials
SQL Server interview question :- Explain RowNumber,Partition,Rank and DenseRank ?
 
10:50
For more such videos visit http://www.questpond.com See our other Step by Step video series below :- Learn SQL Server Step by Step in 16 hours:- http://tinyurl.com/ja4zmwu Learn Angular tutorial for beginners https://tinyurl.com/ycd9j895 Learn MVC Core step by step :- http://tinyurl.com/y9jt3wkv Learn MVC 5 Step by Step in 16 hours:- https://goo.gl/dmdakg Learn MSBI Step by Step in 32 hours:- https://goo.gl/TTpFZN Learn Xamarin Mobile Programming Step by Step :- https://goo.gl/WDVFuy Learn Design Pattern Step by Step in 8 hours:- https://goo.gl/eJdn0m Learn C# Step by Step in 100 hours :- https://goo.gl/FNlqn3 Learn Data structures & algorithm in 8 hours :-https://tinyurl.com/ybx29c5s Learn Javascript in 2 hours :- http://tinyurl.com/zkljbdl Learn SharePoint Step by Step in 8 hours:- https://goo.gl/XQKHeP Learn TypeScript in 45 Minutes :- https://goo.gl/oRkawI Learn webpack in 50 minutes:- https://goo.gl/ab7VJi Learn Visual Studio code in 10 steps for beginners:- https://tinyurl.com/lwgv8r8 Learn Tableau step by step :- https://tinyurl.com/kh6ojyo SQL Server interview question :- Explain RowNumber,Partition,Rank and DenseRank ? We are also distributing a 100 page Ebook "Sql Server Interview Questions". If you want this ebook please share this video in your facebook/twitter/linkedin account and email us on [email protected] with the shared link and we will email you the PDF.
Part 4   Delete duplicate rows in sql
 
03:26
Link for all dot net and sql server video tutorial playlists http://www.youtube.com/user/kudvenkat/playlists Link for slides, code samples and text version of the video http://csharp-video-tutorials.blogspot.com/2014/05/part-4-delete-duplicate-rows-in-sql.html In this video, we will discuss deleting all duplicate rows except one from a sql server table. SQL Script to create Employees table Create table Employees ( ID int, FirstName nvarchar(50), LastName nvarchar(50), Gender nvarchar(50), Salary int ) GO Insert into Employees values (1, 'Mark', 'Hastings', 'Male', 60000) Insert into Employees values (1, 'Mark', 'Hastings', 'Male', 60000) Insert into Employees values (1, 'Mark', 'Hastings', 'Male', 60000) Insert into Employees values (2, 'Mary', 'Lambeth', 'Female', 30000) Insert into Employees values (2, 'Mary', 'Lambeth', 'Female', 30000) Insert into Employees values (3, 'Ben', 'Hoskins', 'Male', 70000) Insert into Employees values (3, 'Ben', 'Hoskins', 'Male', 70000) Insert into Employees values (3, 'Ben', 'Hoskins', 'Male', 70000) The delete query should delete all duplicate rows except one. Here is the SQL query that does the job. PARTITION BY divides the query result set into partitions. WITH EmployeesCTE AS ( SELECT *, ROW_NUMBER()OVER(PARTITION BY ID ORDER BY ID) AS RowNumber FROM Employees ) DELETE FROM EmployeesCTE WHERE RowNumber ] 1
Views: 313801 kudvenkat
SQL1 - using select; choosing your columns; distinct rows.
 
07:23
The basics of SQL with Oracle Apex; starting the SQL language with the idea of relational database tables, and simple ways to obtain data from them.
Views: 542 Charles Boisvert
Oracle views explained with real project examples
 
24:33
This video demonstrates what are oracle views and why and when you should use them. It explains abstraction and security that the views offer with different real project examples. The DML operations you can perform on views and the restrictions. Syntax : CREATE VIEW view_name AS SELECT columns FROM tables [WHERE conditions]; Please do watch the video and leave your inputs/questions in the comments section, If you like the video give a thumbs up and share it with your friends who can benefit from this.
Views: 4211 Tech Coach
SQL Advanced - SELECT queries (part 1)
 
13:56
Video showing more advanced features of a SELECT query in SQL focusing mainly on how to query data from multiple tables that are linked by a relationship as well as how to sort the data and find unique data. Part 2 - https://www.youtube.com/watch?v=2YMSUK_BVZw Part 3 - https://www.youtube.com/watch?v=4lgHnlM_U5w Part 4 - https://www.youtube.com/watch?v=ASfbsIRS1t0 Part 5 - https://www.youtube.com/watch?v=Srj6v8St3M0
Views: 16950 Mr Long IT & CAT
PART 7 MERGE PARTITION
 
01:54
merge partition, alter table, data warehousing
Insert into Table Select From Stored Procedure
 
04:58
Click here to Subscribe to IT PORT Channel : https://www.youtube.com/channel/UCMjmoppveJ3mwspLKXYbVlg Single Insert Statement to Insert data into a table from Stored Procedure
Views: 4045 IT Port
PIVOT Tutorial - generating dynamic column with PIVOT Interview Question SQL
 
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In this lecture you will learn about PIVOT operator and using it to generate dynamic columns.PIVOT is very use full operator to convert values into columns. PIVOT: •Convert your output from (values)vertical order to horizontal(making columns) one Topic to cover: •PIVOT example •PIVOT syntax •Interview Question •PIVOT on northwind •Dynamic PIVOT query http://www.techsapphire.in/index/pivot_sql_lesson_with_generating_dynamic_columns_with_pivot/0-158
Views: 27321 techsapphire
SQL: WITH Clause
 
06:11
In this tutorial, you'll learn will learn how to use with clause PL/SQL (Procedural Language/Structured Query Language) is Oracle Corporation's procedural extension for SQL and the Oracle relational database. PL/SQL is available in Oracle Database (since version 7), TimesTen in-memory database (since version 11.2.1), and IBM DB2 (since version 9.7).[1] Oracle Corporation usually extends PL/SQL functionality with each successive release of the Oracle Database. PL/SQL includes procedural language elements such as conditions and loops. It allows declaration of constants and variables, procedures and functions, types and variables of those types, and triggers. It can handle exceptions (runtime errors). Arrays are supported involving the use of PL/SQL collections. Implementations from version 8 of Oracle Database onwards have included features associated with object-orientation. One can create PL/SQL units such as procedures, functions, packages, types, and triggers, which are stored in the database for reuse by applications that use any of the Oracle Database programmatic interfaces. PL/SQL works analogously to the embedded procedural languages associated with other relational databases. For example, Sybase ASE and Microsoft SQL Server have Transact-SQL, PostgreSQL has PL/pgSQL (which emulates PL/SQL to an extent), and IBM DB2 includes SQL Procedural Language,[2] which conforms to the ISO SQL’s SQL/PSM standard. The designers of PL/SQL modeled its syntax on that of Ada. Both Ada and PL/SQL have Pascal as a common ancestor, and so PL/SQL also resembles Pascal in several aspects. However, the structure of a PL/SQL package does not resemble the basic Object Pascal program structure as implemented by a Borland Delphi or Free Pascal unit. Programmers can define public and private global data-types, constants and static variables in a PL/SQL package.[3] PL/SQL also allows for the definition of classes and instantiating these as objects in PL/SQL code. This resembles usage in object-oriented programming languages like Object Pascal, C++ and Java. PL/SQL refers to a class as an "Abstract Data Type" (ADT) or "User Defined Type" (UDT), and defines it as an Oracle SQL data-type as opposed to a PL/SQL user-defined type, allowing its use in both the Oracle SQL Engine and the Oracle PL/SQL engine. The constructor and methods of an Abstract Data Type are written in PL/SQL. The resulting Abstract Data Type can operate as an object class in PL/SQL. Such objects can also persist as column values in Oracle database tables. PL/SQL is fundamentally distinct from Transact-SQL, despite superficial similarities. Porting code from one to the other usually involves non-trivial work, not only due to the differences in the feature sets of the two languages,[4] but also due to the very significant differences in the way Oracle and SQL Server deal with concurrency and locking. There are software tools available that claim to facilitate porting including Oracle Translation Scratch Editor,[5] CEITON MSSQL/Oracle Compiler [6] and SwisSQL.[7] The StepSqlite product is a PL/SQL compiler for the popular small database SQLite. PL/SQL Program Unit A PL/SQL program unit is one of the following: PL/SQL anonymous block, procedure, function, package specification, package body, trigger, type specification, type body, library. Program units are the PL/SQL source code that is compiled, developed and ultimately executed on the database. The basic unit of a PL/SQL source program is the block, which groups together related declarations and statements. A PL/SQL block is defined by the keywords DECLARE, BEGIN, EXCEPTION, and END. These keywords divide the block into a declarative part, an executable part, and an exception-handling part. The declaration section is optional and may be used to define and initialize constants and variables. If a variable is not initialized then it defaults to NULL value. The optional exception-handling part is used to handle run time errors. Only the executable part is required. A block can have a label. Package Packages are groups of conceptually linked functions, procedures, variables, PL/SQL table and record TYPE statements, constants, cursors etc. The use of packages promotes re-use of code. Packages are composed of the package specification and an optional package body. The specification is the interface to the application; it declares the types, variables, constants, exceptions, cursors, and subprograms available. The body fully defines cursors and subprograms, and so implements the specification. Two advantages of packages are: Modular approach, encapsulation/hiding of business logic, security, performance improvement, re-usability. They support object-oriented programming features like function overloading and encapsulation. Using package variables one can declare session level (scoped) variables, since variables declared in the package specification have a session scope.
Views: 11584 radhikaravikumar
JSON In the Oracle Database 12c Release 1 (12.1.0.2)
 
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A really quick look at the ability to store JSON in the Oracle Database 12c Release 1 (12.1.0.2) and accessing it using Python and the Oracle_CX open source driver. You can find the Oracle documentation on it here http://docs.oracle.com/database/121/ADXDB/json.htm#ADXDB6246
Views: 7964 Dominic Giles

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