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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: 2371 Database Star
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: 15651 Tech Coach
Oracle LISTAGG Function Example and Demonstration
 
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In this lesson Geoff dives into the explanation and demonstration of the LISTAGG aggregate function. See all the lessons in this tutorial - FREE - at http://www.skillbuilders.com/advanced-aggregations-with-oracle-sql.
Views: 2000 SkillBuilders
LISTAGG Function in Oracle Database
 
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listagg in oracle 10g opposite of listagg in oracle oracle listagg distinct oracle listagg multiple columns oracle listagg limit
Views: 46 Adam Tech
Oracle 12C New Feature Listagg function improvements
 
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oracle 12c new features Queries used in the video are given in the blog link http://easy-learning-tech.blogspot.in/2018/04/oracle-12c-new-feature-listagg-function.html oracle 12c new features for developers
Views: 488 Siva Academy
LISTAGG function in oracle-عربي
 
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you can go my website maxvlearn.com
Views: 384 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: 1730 Spod ssppoodd
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: 1208 Techie Rajesh
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: 255 Database Star
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: 661 khaled alkhudari
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: 4093 khaled alkhudari
12c Recursive Functions
 
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Views: 104 N Sacevich
How to Join Field values of a Table using LISTAGG function | Oracle Express Edition (APEX) Tutorials
 
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Do you know how to join two field values of an Oracle Table using SQL? Do you know this can be achieved using functions in the SQL query? ----------------------------------------------------------------------------------------------------------- select listagg(empname,', ') within group(order by empname) as ALLNAMES from emp1; ----------------------------------------------------------------------------------------------------------- The LISTAGG function takes in two arguments: 1. The name of the field 2. Separator The separator can be any special character like comma, quotes, etc. The query performance may vary for large tables. Hop on to learn more! Subscribe to my channel to learn new Oracle/SQL tips and tricks to obtain a particular output. Use the Oracle Express Edition for quick learning! Check out my other videos: -------------------------------------------------- Clone an Oracle table using SQL: https://youtu.be/8MICKuNoT1w Add Primary Key to Existing Table: https://youtu.be/DgGoedEBLoU Create an Application Workspace: https://youtu.be/Tl9hddgUSdI Download the latest Oracle Express Edition release here: http://www.oracle.com/technetwork/database/database-technologies/express-edition/downloads/index.html Follow me on Instagram: https://www.instagram.com/the_perfect_tutorials/ Follow me on Facebook: https://www.facebook.com/theperfecttutorials
Ask TOM (The Oracle Masters)
 
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AskTom gets a new name.... sort of ========================================­­­­============== 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.
Views: 353 Connor McDonald
Oracle regular expression regexp count
 
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Unix Shell Scripting
Views: 1281 Sridhar Raghavan
Local Vs Global Partitioned Index in Oracle 11g
 
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The Video Explains the difference between Local Partitioned Indexes(Prefixed vs Non Prefixed Indexes). and Global Partitioned Index along with the challenges in maintaining Global partitioned Indexes when the underlying tables partitioned is dropped/truncated/Merged/Moved. Local Partitioned Index Shares the same boundaries as the table and are in the same number as table partitions they are widely used in DSS and DWH systems. While Global Partitioned Index are predominantly used in OLTP systems
Views: 5244 Tech Coach
Oracle tutorial : What is Virtual column in Oracle PL SQL
 
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This video will show you " Oracle tutorial: What is Virtual column in Oracle PL SQL " sql calculated field computed column oracle-11g-new-feature-virtual-column Oracle tutorial : What is Virtual column in oracle Syntax : column_name [datatype] [GENERATED ALWAYS] AS [expression] [VIRTUAL] 1)The values of the virtual column are not stored in the database. 2)You can not update the values of virtual column. 3)when you try to modify it will give oracle error. 4)These are read only values. 5)Virtual columns used in the WHERE clause of UPDATE and DELETE statement 6)Constraints can be created on them. #techquerypond https://techquerypond.wordpress.com https://twitter.com/techquerypond
Views: 1376 Tech Query Pond
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: 13330 Kishan Mashru
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: 48 Adam Tech
Oracle Tutorial || Oracle|Adv Sql | Analytical Functions Part-1 by basha
 
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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 12C New Feature DDL Logging
 
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oracle 12c new features How to enable DDL Logging in oracle? oracle 12c new features for developers
Views: 91 Siva Academy
AskTOM Office Hours: Slow SQL, Listagg, Data Converstion
 
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Held on June 21 In June we looked at date conversion issues, identifying the cause of slow SQL, dealing with ORA-01489 errors from listagg, and writing case expressions. Key topics are at: 1:00 - Date conversion issues: implicit conversions; format masks; Gregorian to Julian calendar converion 10:15 - Why is my insert slow? An overview method for viewing SQL activity: SQL monitor, autotrace, and SQL trace; a discussion of blocking rows 30:55 - Dealing with listagg ORA-01489 errors: the on overflow truncate clause in 12.2; 12.1 pattern matching (match_recognize) solutions 49:55 - creating case expressions using formulas Links in presentation: How to Create an Execution Plan https://blogs.oracle.com/sql/how-to-create-an-execution-plan Managing overflows in LISTAGG https://blogs.oracle.com/datawarehousing/managing-overflows-in-listagg 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: 213 Oracle Developers
How to Convert Rows into Columns in Oracle | Oracle | Oracle Tutorials
 
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Converting rows into Columns. Transpose rows in to columns.
SQL: WITH Clause
 
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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: 12359 radhikaravikumar
What is LAG Function in Oracle
 
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What is LAG Function in Oracle How to Get Previous Record in SQL How to Get Previous Salary in Oracle SQL Tutorial SQL Tutorial for beginners PLSQL Tutorial PLSQL Tutorial for beginners PL/SQL Tutorial PL SQL Tutorial PL SQL Tutorial for beginners PL/SQL Tutorial for beginners Oracle SQL Tutorial
Views: 243 TechLake
LISTAGG Function in Informatica
 
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LISTAGG orders data within each group .. As a single-set aggregate function, LISTAGG operates on all rows , here i m implementing listagg function in informatica scenario
Views: 1876 Adam Tech
How to Code Oracle FIRST LAST Aggregate Functions
 
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Learn Advanced Oracle SQL Aggregate functions FIRST and LAST. View all lessons in this tutorial at http://www.skillbuilders.com/advanced-aggregations-with-oracle-sql
Views: 774 SkillBuilders
SQL: Lag
 
04:40
In this tutorial, you'll learn how to make use of lag function in oracle sql PL/SQL (Procedural Language/Structured Query Language) is Oracle Corporation's procedural extension for SQL and the Oracle relational database. PL/SQL is available in Oracle Database (since version 7), TimesTen in-memory database (since version 11.2.1), and IBM DB2 (since version 9.7).[1] Oracle Corporation usually extends PL/SQL functionality with each successive release of the Oracle Database. PL/SQL includes procedural language elements such as conditions and loops. It allows declaration of constants and variables, procedures and functions, types and variables of those types, and triggers. It can handle exceptions (runtime errors). Arrays are supported involving the use of PL/SQL collections. Implementations from version 8 of Oracle Database onwards have included features associated with object-orientation. One can create PL/SQL units such as procedures, functions, packages, types, and triggers, which are stored in the database for reuse by applications that use any of the Oracle Database programmatic interfaces. PL/SQL works analogously to the embedded procedural languages associated with other relational databases. For example, Sybase ASE and Microsoft SQL Server have Transact-SQL, PostgreSQL has PL/pgSQL (which emulates PL/SQL to an extent), and IBM DB2 includes SQL Procedural Language,[2] which conforms to the ISO SQL’s SQL/PSM standard. The designers of PL/SQL modeled its syntax on that of Ada. Both Ada and PL/SQL have Pascal as a common ancestor, and so PL/SQL also resembles Pascal in several aspects. However, the structure of a PL/SQL package does not resemble the basic Object Pascal program structure as implemented by a Borland Delphi or Free Pascal unit. Programmers can define public and private global data-types, constants and static variables in a PL/SQL package.[3] PL/SQL also allows for the definition of classes and instantiating these as objects in PL/SQL code. This resembles usage in object-oriented programming languages like Object Pascal, C++ and Java. PL/SQL refers to a class as an "Abstract Data Type" (ADT) or "User Defined Type" (UDT), and defines it as an Oracle SQL data-type as opposed to a PL/SQL user-defined type, allowing its use in both the Oracle SQL Engine and the Oracle PL/SQL engine. The constructor and methods of an Abstract Data Type are written in PL/SQL. The resulting Abstract Data Type can operate as an object class in PL/SQL. Such objects can also persist as column values in Oracle database tables. PL/SQL is fundamentally distinct from Transact-SQL, despite superficial similarities. Porting code from one to the other usually involves non-trivial work, not only due to the differences in the feature sets of the two languages,[4] but also due to the very significant differences in the way Oracle and SQL Server deal with concurrency and locking. There are software tools available that claim to facilitate porting including Oracle Translation Scratch Editor,[5] CEITON MSSQL/Oracle Compiler [6] and SwisSQL.[7] The StepSqlite product is a PL/SQL compiler for the popular small database SQLite. PL/SQL Program Unit A PL/SQL program unit is one of the following: PL/SQL anonymous block, procedure, function, package specification, package body, trigger, type specification, type body, library. Program units are the PL/SQL source code that is compiled, developed and ultimately executed on the database. The basic unit of a PL/SQL source program is the block, which groups together related declarations and statements. A PL/SQL block is defined by the keywords DECLARE, BEGIN, EXCEPTION, and END. These keywords divide the block into a declarative part, an executable part, and an exception-handling part. The declaration section is optional and may be used to define and initialize constants and variables. If a variable is not initialized then it defaults to NULL value. The optional exception-handling part is used to handle run time errors. Only the executable part is required. A block can have a label. Package Packages are groups of conceptually linked functions, procedures, variables, PL/SQL table and record TYPE statements, constants, cursors etc. The use of packages promotes re-use of code. Packages are composed of the package specification and an optional package body. The specification is the interface to the application; it declares the types, variables, constants, exceptions, cursors, and subprograms available. The body fully defines cursors and subprograms, and so implements the specification. Two advantages of packages are: Modular approach, encapsulation/hiding of business logic, security, performance improvement, re-usability. They support object-oriented programming features like function overloading and encapsulation. Using package variables one can declare session level (scoped) variables, since variables declared in the package specification have a session scope.
Views: 2000 radhikaravikumar
Using Pivot clause in Oracle  PLSQL.
 
08:51
Pivot is a wonderful feature in Oracle which helps you your aggregate based sql results to be transformed from row to column where you can put your group based columns to display it's aggregate value into columns.
Views: 3598 Subhroneel Ganguly
Analytic Functions versus Regular SQL in Oracle. Real Test
 
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In this training video tutorial we will make Real Test for Analytic Functions versus Regular SQL in Oracle
Views: 46 Spod ssppoodd
WM_CONCAT in Oracle Sql
 
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WM_CONCAT Function in Oracle SQL
Views: 273 sreetheja amilineni
Turning Relational Database Tables into Spark Datasources
 
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https://developer.oracle.com/code/online | Kuassi Mensah: This session presents a Spark data source for joining big data with master data in an RDBMS. It describes how such an implementation: Allows parallel and direct access to the RDBMS database (with the option of controlling the number of concurrent connections). Introspects the RDBMS table, generates partitions of Spark JDBCRDDs based on the split pattern, and rewrites Spark SQL queries into the RDBMS SQL dialect. Uses hooks in the JDBC driver for faster type conversions. Pushes down predicates to the RDBMS, prunes partitions based on the where clause, and projects columns to the RDBMS to reduce the amount of data returned and processed on Spark. Writes back the result set to the RDBMS table for use by traditional BI tools
Views: 583 Oracle Developers
In-Depth with Trace File Analyzer 18.2
 
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Held on July 24 2018 Gareth Chapman and Bill Burton talks in depth about how Oracle Trace File Analyzer works. Here's a quick guide to the highlights: 01:46 What is Oracle's goal in developing TFA 04:02 As TFA is included in the GI & DB Homes, does it get upgraded as part of RUs? 05:52 Can I still upgrade to the latest version of TFA without applying a RU? 07:46 Is there any difference between the MOS version of TFA and the one included in the RUs? 10:02 What will happen if I apply a RU which has an older version? 11:52 What's the difference between a root install and non-root? 14:59 How do I get notified of new issues TFA detects? 17:29 Can TFA automatically upload to MOS? 18:50 Where will collections be stored? 19:57 Does TFA make sure there is space to store the collection? 22:22 How can I make a targeted collection? 25:17 What else can TFA do apart from taking collections? 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: 706 Oracle Developers
AskTOM Office Hours - partitioning for database administrators
 
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blog: https://connor-mcdonald.com AskTOM Office Hours DBA free webinar
Views: 661 Connor McDonald
Informatica Interview Scenario :Listagg Function in Informatica
 
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A source table has values Col1 Col2 a l a m a n b p b q x y The target table should have values Col1 Col2 a l,m,n b p,q x y The Video Demonstrates 2 approaches to achieve the same using listagg function in SQ query and by using expression and aggregation in case of flat file. Please post in comments section in case you want help with any scenario i will try to cover it in my next video
Views: 5452 Tech Coach
Restricting rows with WINDOWING in Oracle SQL
 
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In this video tutorial we will learn how to restricting rows with WINDOWING in Oracle SQL queries for Analysis and Reporting
Views: 170 Spod ssppoodd
Analytical functions in oracle part 1
 
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Rank ,Dense Rank and Row number function in oracle
Views: 225 DataSmith
How to use Oracle SQL ROLLUP and CUBE
 
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Learn how the Oracle Database SQL extensions ROLLUP and CUBE provide additional aggregations for your data warehouse data.
Views: 2227 SkillBuilders
Execute Immediate in PL/SQL Explained with example.
 
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Execute Immediate is mainly used to run native dynamic sql, This video takes a lay men approach to easily but precisely explain the concept using real project examples.
Views: 1109 Tech Coach
Alex Nuijten - SQL Model Clause: A Gentle Introduction
 
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The Model Clause adds spreadsheet-like functionality to the SQL language. Very powerful stuff, yet the syntax can be quite daunting. With the Model Clause, you define a multidimensional array from query results and then apply formulas to this array to calculate new values. This presentation will give you a gentle introduction in the complex syntax of the Model Clause and will show you some real life examples where the Model Clause was invaluable.
Views: 744 Riga Dev Days
Oracle Analytical functions Sum , Lead , Lag and Avg
 
10:35
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: 2926 Query Light
Tuorial : Oracle Analytical Functions rank , denserank , top n query
 
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This video gives introduction on how oracle analytical functions like rank , dense rank work. How they should be used practically. How to perform Top N Query with Analytical Functions. Sofware used can be downloaded from : www.querylight.in
Views: 1305 Query Light
Oracle Performance Tips - Rank and Dense_Rank
 
03:02
A brief overview and difference between rank and dense_rank analytic function in Oracle
Views: 529 Saurabh Kumar
PIVOT Tutorial - generating dynamic column with PIVOT Interview Question SQL
 
14:14
In this lecture you will learn about PIVOT operator and using it to generate dynamic columns.PIVOT is very use full operator to convert values into columns. PIVOT: •Convert your output from (values)vertical order to horizontal(making columns) one Topic to cover: •PIVOT example •PIVOT syntax •Interview Question •PIVOT on northwind •Dynamic PIVOT query http://www.techsapphire.in/index/pivot_sql_lesson_with_generating_dynamic_columns_with_pivot/0-158
Views: 28147 techsapphire
29. SQL for Beginners - REGEXP_COUNT( ) (Hindi) | Regular Expressions
 
03:26
PL/SQL Playlist: https://www.youtube.com/playlist?list=PLysly0KYnAY1I1I8ACgWYjI5WyFlV4Nin SQL Playlist: https://www.youtube.com/playlist?list=PLysly0KYnAY2q8cobbotVbn36XOskQR2F JavaScript Playlist: https://www.youtube.com/playlist?list=PLysly0KYnAY2tLfvp7bCL3c-psMH9Czs6 HTML5 Playlist: https://www.youtube.com/playlist?list=PLysly0KYnAY2_-PqGSrVTgBpVshxpqQlw Mobile Responsive Form using HTML5 & CSS: https://youtu.be/SECTfL3R0B0 MS SQL Server Installation: https://youtu.be/rZRA692RmuU Clock Animation in PowerPoint : https://youtu.be/LM5iwzNqQQo Envelope Animation in PowerPoint : https://youtu.be/HWlqGGleQqs FACEBOOK PAGE https://www.facebook.com/ishwaracademy/
Views: 60 Ishwar Academy

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