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05 How to configure Sub partition using rang & list in oracle
 
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You can create subpartitions in a composite partitioned table using a subpartition template. A subpartition template simplifies the specification of subpartitions by not requiring that a subpartition descriptor be specified for every partition in the table. Instead, you describe subpartitions only once in a template, then apply that subpartition template to every partition in the table. For interval-* composite partitioned tables, the subpartition template is the only way to define subpartitions for interval partitions. The subpartition template is used whenever a subpartition descriptor is not specified for a partition. If a subpartition descriptor is specified, then it is used instead of the subpartition template for that partition. If no subpartition template is specified, and no subpartition descriptor is supplied for a partition, then a single default subpartition is created. Specifying a Subpartition Template for a *-Hash Partitioned Table In the case of [range | interval | list]-hash partitioned tables, the subpartition template can describe the subpartitions in detail, or it can specify just the number of hash subpartitions. The following example creates a range-hash partitioned table using a subpartition template: CREATE TABLE emp_sub_template (deptno NUMBER, empname VARCHAR(32), grade NUMBER) PARTITION BY RANGE(deptno) SUBPARTITION BY HASH(empname) SUBPARTITION TEMPLATE (SUBPARTITION a TABLESPACE ts1, SUBPARTITION b TABLESPACE ts2, SUBPARTITION c TABLESPACE ts3, SUBPARTITION d TABLESPACE ts4 ) (PARTITION p1 VALUES LESS THAN (1000), PARTITION p2 VALUES LESS THAN (2000), PARTITION p3 VALUES LESS THAN (MAXVALUE) ); This example produces the following table description: Every partition has four subpartitions as described in the subpartition template. Each subpartition has a tablespace specified. It is required that if a tablespace is specified for one subpartition in a subpartition template, then one must be specified for all. The names of the subpartitions, unless you use interval-* subpartitioning, are generated by concatenating the partition name with the subpartition name in the form:
Views: 535 OnLinE ReSoUrCe
04 How to configure Hash partition in Oracle
 
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Hash partitioning Use hash partitioning if your data does not easily lend itself to range partitioning, but you would like to partition for performance and manageability reasons. Hash partitioning provides a method of evenly distributing data across a specified number of partitions. Rows are mapped into partitions based on a hash value of the partitioning key The following example shows how to create a hash partition table. The following example creates a hash-partitioned table. The partitioning column is partno, four partitions are created and assigned system generated names, and they are placed in four named tablespaces (tab1,tab2, ...). CREATE TABLE products (partno NUMBER, description VARCHAR2 (60)) PARTITION BY HASH (partno) PARTITIONS 4 STORE IN (tab1, tab2, tab3, tab4);
Views: 747 OnLinE ReSoUrCe
Hints and Tips - Queries running whilst exchanging partitions - part 1
 
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Even when you rip out a partition from a table, queries can still execute successfully. ========================================­­­­============== Copyright © 2015 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
Views: 842 Connor McDonald
06 How to configure Sub partition using Rang & Hash in oracle
 
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You can create subpartitions in a composite partitioned table using a subpartition template. A subpartition template simplifies the specification of subpartitions by not requiring that a subpartition descriptor be specified for every partition in the table. Instead, you describe subpartitions only once in a template, then apply that subpartition template to every partition in the table. For interval-* composite partitioned tables, the subpartition template is the only way to define subpartitions for interval partitions. The subpartition template is used whenever a subpartition descriptor is not specified for a partition. If a subpartition descriptor is specified, then it is used instead of the subpartition template for that partition. If no subpartition template is specified, and no subpartition descriptor is supplied for a partition, then a single default subpartition is created. Specifying a Subpartition Template for a *-Hash Partitioned Table In the case of [range | interval | list]-hash partitioned tables, the subpartition template can describe the subpartitions in detail, or it can specify just the number of hash subpartitions. The following example creates a range-hash partitioned table using a subpartition template: CREATE TABLE emp_sub_template (deptno NUMBER, empname VARCHAR(32), grade NUMBER) PARTITION BY RANGE(deptno) SUBPARTITION BY HASH(empname) SUBPARTITION TEMPLATE (SUBPARTITION a TABLESPACE ts1, SUBPARTITION b TABLESPACE ts2, SUBPARTITION c TABLESPACE ts3, SUBPARTITION d TABLESPACE ts4 ) (PARTITION p1 VALUES LESS THAN (1000), PARTITION p2 VALUES LESS THAN (2000), PARTITION p3 VALUES LESS THAN (MAXVALUE) ); This example produces the following table description: Every partition has four subpartitions as described in the subpartition template. Each subpartition has a tablespace specified. It is required that if a tablespace is specified for one subpartition in a subpartition template, then one must be specified for all. The names of the subpartitions, unless you use interval-* subpartitioning, are generated by concatenating the partition name with the subpartition name in the form:
Views: 273 OnLinE ReSoUrCe
Hints and Tips - Queries running whilst exchanging partitions - part 2
 
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Even when you rip out a partition from a table, queries can still execute successfully. ========================================­­­­============== Copyright © 2015 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
Views: 959 Connor McDonald
Explain steps to perform Table Partitioning and what are the best practices to do so
 
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SQL Server Interview Questions and Answers, Question for the SQL Server DBA " Explain the steps to perform Table Partitioning and best practices?" You can visit our blog http://sqlage.blogspot.com/ Twitter https://twitter.com/AamirSh48904922 Facebook https://www.facebook.com/SqlAge SQL Server DBA Interview Questions Real time SQL Server Interview Questions with Answers Experienced SQL Server Interview Questions Top 100 SQL Server DBA Interview Questions and Answers Microsoft SQL SErver DBA Interview Questions for Fresher SQL Server DBA Advanced Interview Questions and Answers
Views: 13555 TechBrothersIT
KISS series on Partitioning: 08 Converting ranges to interval partitions
 
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Welcome to the KISS video series on Partitioning, where we take a more developer-centric look at how partitioning can make our applications more successful. In this session, we look at converting range partitioned tables to interval partitioned tables Scripts: https://livesql.oracle.com/apex/livesql/file/content_E7J2B8MNH9S7QPIC23E5PEAVI.html blog: https://connor-mcdonald.com ========================================­­============== Copyright © 2017 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
Views: 348 Connor McDonald
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: 551 khaled alkhudari
How Does the Phyiscal Location of Rows Affect Indexes?: Finding All the Red Sweets Part 2
 
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In part one of the red candy series, Chris compared the efficiency of using a index range scan and full table scan to access data. He found that a full table scan was more efficient when fetching more rows than there are table blocks. This analysis made a big assumption however. It worked on the presumption that there was no correlation between the order of candies in the document and which the bags they were in. In this episode tests this assumption. Chris looks at how the physical order of rows in a table can affect the efficiency of indexes on it. He discusses how Oracle tracks this via the clustering factor. ============================ The Magic of SQL with Chris Saxon Copyright © 2015 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
Views: 3048 The Magic of SQL
SQL Row Number / Window Function Example - Top NY Baby Names by Year
 
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Using BigQuery's free tier (1TB per month) we explore baby name data and incorporate the basics of row_number,() where clauses and sub querying to filter inner queries. This was "live" so you see a few errors and my thought process. https://cloud.google.com/bigquery/pricing. A great way to learn SQL (applicable to postgressql, oracle, mssql server and others).
Views: 334 Jeffrey James
Oracle 12c Release 2 - How to move a heap table online
 
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Need to reorganize a table ? Want to do it whenever you want without impacting any users ? Easy in 12.2 ========================================­­­­============== 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: 410 Connor McDonald
Linux Disk and Partition Device Naming
 
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Lecture covering the naming of device node entries (in /dev) for disks and partitions. Covers SATA/SCSI/IDE, SD/microSD, NVMe, and Virtio devices.
Views: 379 Mike Murphy
KISS series on Partitioning: 03 Multi column range partitioning
 
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Welcome to the KISS video series on Partitioning, where we take a more developer-centric look at how partitioning can make our applications more successful. In this session, we look at range partitioning on multiple columns Scripts: https://livesql.oracle.com/apex/livesql/file/content_ERYV6B909XK196IAKLBUQIJSN.html blog: https://connor-mcdonald.com ========================================­­============== Copyright © 2017 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
Views: 805 Connor McDonald
KISS series on Partitioning: 09 Interval partition idiosyncracies
 
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Welcome to the KISS video series on Partitioning, where we take a more developer-centric look at how partitioning can make our applications more successful. In this session, we look at converting some things to keep in mind when dealing with interval partitioned tables Scripts: https://livesql.oracle.com/apex/livesql/file/content_FCVIVNV6YDS2FT920MW3CD0LZ.html blog: https://connor-mcdonald.com ========================================­­============== Copyright © 2017 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
Views: 289 Connor McDonald
Hints and Tips - Synthesizing rows inside Oracle
 
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You've already got a gazillion rows inside your Oracle Database table. So why would you want to generate even more rows ? Well, it’s a common need as you'll see in this quick tip, which more to the point shows you how to do it easily and efficiently with SQL ====================================================== Copyright © 2015 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
Views: 1807 Connor McDonald
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: 79916 kudvenkat
KISS series on Partitioning - for Developers
 
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Welcome to the KISS video series on Partitioning, where we take a more developer-centric look at how partitioning can make our applications more successful. In this session, we look at how to create our very first range partitioned table Scripts: https://livesql.oracle.com/apex/livesql/file/content_EM2X7EIHU60Z888IOU53RF0EN.html ========================================­­============== 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: 1004 Connor McDonald
Oracle Sharding Overview
 
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Product overview of Oracle Sharding 12.2 Linear Scalability, Fault Isolation and Geo-distribution Oracle Sharding is a scalability and availability feature that enables distribution and replication of data across a pool of Oracle databases that do not share hardware or software. Applications elastically scale (data, transactions and users) to any level, on any platform, simply by adding additional databases (shards) to the pool. For more info - https://www.oracle.com/goto/oraclesharding Blog: https://nageshbattula.com Twitter: @nageshbattula To improve the video quality, click the gear icon and set the Quality to 1080p/720p HD. For more information, see http://www.oracle.com/goto/oll and http://docs.oracle.com Copyright © 2017 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
COL11: Set-Level Manipulation of Nested Tables (MULTISET)
 
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Oracle offers set-level operators and functions to manipulate nested tables. You can perform unions and intersects, check nested tables for equality and more. This lessons explores the MULTISET features of nested tables in detail. This video was taken from PLSQLChannel.com, originally recorded before Steven Feuerstein re-joined Oracle in March 2014. ======================================== Practically Perfect PL/SQL with Steven Feuerstein Copyright © 2015 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
KISS series on Partitioning: 02 Partitioning for Performance
 
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Welcome to the KISS video series on Partitioning, where we take a more developer-centric look at how partitioning can make our applications more successful. In this session, we take a first look at why partitioning can be a great help for faster queries blog: https://connor-mcdonald.com ========================================­­============== Copyright © 2017 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
Views: 764 Connor McDonald
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: 1956 SkillBuilders
KISS series on Partitioning: 06 How to create a subpartitioned table
 
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Welcome to the KISS video series on Partitioning, where we take a more developer-centric look at how partitioning can make our applications more successful. In this session, we look at composite partitioning Scripts: https://livesql.oracle.com/apex/livesql/file/content_E04YW3K8RNMQO7L066TMLDLR7.html blog: https://connor-mcdonald.com ========================================­­============== Copyright © 2017 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
Views: 392 Connor McDonald
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: 376 Siva Academy
KISS series on Partitioning: 01 Our first partitioned table
 
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Welcome to the KISS video series on Partitioning, where we take a more developer-centric look at how partitioning can make our applications more successful. In this session, we look at how to create our very first range partitioned table Scripts: https://livesql.oracle.com/apex/livesql/file/content_EM2X7EIHU60Z888IOU53RF0EN.html ========================================­­============== 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: 1013 Connor McDonald
KISS series on Partitioning: 07 How to create a interval partitioned table
 
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Welcome to the KISS video series on Partitioning, where we take a more developer-centric look at how partitioning can make our applications more successful. In this session, we look at composite partitioning Scripts: https://livesql.oracle.com/apex/livesql/file/content_E1A9RDSCKBO9F0BJHLM914GH1.html blog: https://connor-mcdonald.com ========================================­­============== Copyright © 2017 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
Views: 371 Connor McDonald
KISS series on Partitioning: 05 How to create a list partitioned table
 
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Welcome to the KISS video series on Partitioning, where we take a more developer-centric look at how partitioning can make our applications more successful. In this session, we look at hash partitioning Scripts: https://livesql.oracle.com/apex/livesql/file/content_EXS3Y4LQGPTUGO223O3PGK2K9.html blog: https://connor-mcdonald.com ========================================­­============== Copyright © 2017 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
Views: 447 Connor McDonald
Oracle Pivot clause
 
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oracle pivot example http://easy-learning-tech.blogspot.in/2018/05/pivot-on-sql.html
Views: 247 Siva Academy
KISS series on Partitioning: 04 How to create a hash partitioned table
 
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Welcome to the KISS video series on Partitioning, where we take a more developer-centric look at how partitioning can make our applications more successful. In this session, we look at hash partitioning Scripts: https://livesql.oracle.com/apex/livesql/file/content_EVAZG9P72HTQ4Q695NT8MOTXG.html blog: https://connor-mcdonald.com ========================================­­============== Copyright © 2017 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
Views: 591 Connor McDonald
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: 27167 techsapphire
Part 2 Predicate Pushdown
 
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Oracle Big Data SQL - Learn about partition pruning, storage indexes and predicate push down. ================================= For more information, see http://www.oracle.com/goto/oll 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.
KISS series on Analytics: 07 Partition clause
 
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Welcome to the KISS video series. Solving problems that typically required complicated SQL in the past, that can now be easily solved with Analytic SQL syntax. In this session, we take our first look at the partition clause The sample problem we'll solve is: Applying ranking functions to data when it is logically grouped into sections, in this case, populations of countries by continent Scripts: https://livesql.oracle.com/apex/livesql/file/content_ERYV6B909XK196IAKLBUQIJSN.html Watch the entire Analytics playlist at https://www.youtube.com/playlist?list=PLJMaoEWvHwFJDyhMLCkNSSUQWw9waFkIj ========================================­­­============== Copyright © 2015 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
Views: 1148 Connor McDonald
Get Started with Data Modeling in Oracle Analytics Cloud
 
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View data source objects and review components necessary to build and publish a data model that accurately reflects your business needs. ================================= To improve the video quality, click the gear icon and set the Quality to 1080p/720p HD. For more information, see http://www.oracle.com/goto/oll and http://docs.oracle.com Copyright © 2017 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
What is? - Advanced Compression in Oracle Database 12c
 
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Join Kevin Jernigan, as he talks about Advanced Compression in Oracle Database 12c. How it optimizes and makes I/O reads more efficient and increases throughput. ================================= For more information, see http://www.oracle.com/goto/oll Copyright © 2015 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
SQL 12c  Tutorial 18 : SQL  Invisible Column options in SQL 12c New Features
 
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SQL 12c Tutorial 18 : SQL Invisible Column options in SQL 12c New Features SQL 12c Tutorial for beginners Oracle SQL 12c Tutorial for beginners Oracle SQL 12c New Features
Views: 388 TechLake
Why I Joined the Oracle Developer Advocates team
 
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I've been working with Oracle technology for nearly 20 years now. So what makes an IT professional after all that time, join the company itself. ====================================================== Copyright © 2015 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
Views: 4170 Connor McDonald
Oracle Database 12c Release 2 Autonomous Health Framework
 
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Oracle Autonomous Health Framework (AHF) presents the next generation of tools as components, which work together autonomously 24x7 to keep database systems healthy and running while minimizing human reaction time. Utilizing machine-learning technologies, Oracle AHF provides early warning or automatically solves operational runtime issues faced by Database and System administrators in the areas of availability and performance. ================================= To improve the video quality, click the gear icon and set the Quality to 1080p/720p HD. For more information, see http://www.oracle.com/goto/oll 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.
SQL - Multiple Row_Number functions addressing different partitions
 
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Find the top selling days per quarter as well as month by using 2 window functions (ROW_NUMBER) which address the month and quarter as differing partitions.
Views: 290 Jeffrey James
Oracle 12c Release 2 - How to get SQL Plus command history
 
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blog: https://connor-mcdonald.com Want to go retrieve and edit previous commands in SQL Plus without using things like rlwrap ? easy in 12.2 ========================================­­­­============== 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: 1065 Connor McDonald
Part 6   Transform rows into columns in sql server
 
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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/2014/06/part-6-transform-rows-into-columns-in.html This is another common sql server interview question. We will be using Countries table in this example. SQL to create the table Create Table Countries ( Country nvarchar(50), City nvarchar(50) ) GO Insert into Countries values ('USA','New York') Insert into Countries values ('USA','Houston') Insert into Countries values ('USA','Dallas') Insert into Countries values ('India','Hyderabad') Insert into Countries values ('India','Bangalore') Insert into Countries values ('India','New Delhi') Insert into Countries values ('UK','London') Insert into Countries values ('UK','Birmingham') Insert into Countries values ('UK','Manchester') Here is the interview question. Write a sql query to transpose rows to columns. Using PIVOT operator we can very easily transform rows to columns. Select Country, City1, City2, City3 From ( Select Country, City, 'City'+ cast(row_number() over(partition by Country order by Country) as varchar(10)) ColumnSequence from Countries ) Temp pivot ( max(City) for ColumnSequence in (City1, City2, City3) ) Piv
Views: 179575 kudvenkat
Part 12   Can we join two tables without primary foreign key relation
 
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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/2014/09/part-12-can-we-join-two-tables-without.html Can we join two tables without primary foreign key relation Yes, we can join two tables without primary foreign key relation as long as the column values involved in the join can be converted to one type. ID column in Departments table is not the primary Key and DepartmentId column in Employees table is not the foreign key. But we can still join these tables using ID column from Departments table and DepartmentId column from Employees table, as both the columns involved in the join have same data type i.e int. Select Employees.Name as EmployeeName, Departments.Name as DepartmentName from Employees join Departments on Departments.ID = Employees.DepartmentId The obious next question is, if primary foreign key relation is not mandatory for 2 tables to be joined then what is the use of these keys? Primary key enforces uniqueness of values over one or more columns. Since ID is not a primary key in Departments table, 2 or more departments may end up having same ID value, which makes it impossible to distinguish between them based on the ID column value. Foreign key enforces referential integrity. Without foreign key constraint on DepartmentId column in Employees table, it is possible to insert a row into Employees table with a value for DepartmentId column that does not exist in Departments table. The following insert statement, successfully inserts a new Employee into Employees table whose DepartmentId is 100. But we don't have a department with ID = 100 in Departments table. This means this employee row is an orphan row, and the referential integrity is lost as result Insert into Employees values (8, 'Mary', 'Female', 80000, 100) If we have had a foreign key constraint on DepartmentId column in Employees table, the following insert statement would have failed with the following error. Msg 547, Level 16, State 0, Line 1 The INSERT statement conflicted with the FOREIGN KEY constraint. The conflict occurred in database "Sample", table "dbo.Departments", column 'ID'.
Views: 108886 kudvenkat
PRESIDENCY DISOWNS NAMES OF 50 PERSONS ON TRAVEL BAN
 
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The Nigerian Government said it has not released the list containing the names of the ’50 high-profile’ persons banned from travelling out of the country. A government spokesman said on Saturday that 50 high-profile Nigerians have been banned from leaving the country. Subscribe- be the first to view our latest videos Connect with WazobiaMax TV on social media: Follow WazobiaMax TV on Facebook: https://www.facebook.com/wa... Follow WazobiaMax TV on Instagram: https://www.instagram.com/w... Follow #WazobiaMax TV on Twitter: https://twitter.com/wazobiamax
Views: 8068 Wazobia Max
Toad for Oracle: What's New with Toad?
 
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https://www.quest.com/products/toad-for-oracle/ In this Toad for Oracle product demo we'll review the most recent updates of each of the Toad Editions.
Views: 833 Quest
Where is my tracefile
 
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SQL trace is an awesome performance tuning resource. But before you can do that analysis, you need to know WHERE your trace file is. ========================================­============== Copyright © 2015 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
Views: 2609 Connor McDonald
COL5: Working with Nested Tables
 
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Nested tables are a type of collection that can be used in both PL/SQL blocks and the SQL layer. You can also perform set-level operations on nested tables via the MULTISET operators. This lesson explores the characteristics and special features of nested tables. This video was taken from PLSQLChannel.com, originally recorded before Steven Feuerstein re-joined Oracle in March 2014. ======================================== Practically Perfect PL/SQL with Steven Feuerstein Copyright © 2015 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
Part 1   How to find nth highest salary in sql
 
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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-1-how-to-find-nth-highest-salary_17.html This is a very common SQL Server Interview Question. There are several ways of finding the nth highest salary. By the end of this video, we will be able to answer all the following questions as well. How to find nth highest salary in SQL Server using a Sub-Query How to find nth highest salary in SQL Server using a CTE How to find the 2nd, 3rd or 15th highest salary Let's use the following Employees table for this demo Use the following script to create Employees table Create table Employees ( ID int primary key identity, FirstName nvarchar(50), LastName nvarchar(50), Gender nvarchar(50), Salary int ) GO Insert into Employees values ('Ben', 'Hoskins', 'Male', 70000) Insert into Employees values ('Mark', 'Hastings', 'Male', 60000) Insert into Employees values ('Steve', 'Pound', 'Male', 45000) Insert into Employees values ('Ben', 'Hoskins', 'Male', 70000) Insert into Employees values ('Philip', 'Hastings', 'Male', 45000) Insert into Employees values ('Mary', 'Lambeth', 'Female', 30000) Insert into Employees values ('Valarie', 'Vikings', 'Female', 35000) Insert into Employees values ('John', 'Stanmore', 'Male', 80000) GO To find the highest salary it is straight forward. We can simply use the Max() function as shown below. Select Max(Salary) from Employees To get the second highest salary use a sub query along with Max() function as shown below. Select Max(Salary) from Employees where Salary [ (Select Max(Salary) from Employees) To find nth highest salary using Sub-Query SELECT TOP 1 SALARY FROM ( SELECT DISTINCT TOP N SALARY FROM EMPLOYEES ORDER BY SALARY DESC ) RESULT ORDER BY SALARY To find nth highest salary using CTE WITH RESULT AS ( SELECT SALARY, DENSE_RANK() OVER (ORDER BY SALARY DESC) AS DENSERANK FROM EMPLOYEES ) SELECT TOP 1 SALARY FROM RESULT WHERE DENSERANK = N To find 2nd highest salary we can use any of the above queries. Simple replace N with 2. Similarly, to find 3rd highest salary, simple replace N with 3. Please Note: On many of the websites, you may have seen that, the following query can be used to get the nth highest salary. The below query will only work if there are no duplicates. WITH RESULT AS ( SELECT SALARY, ROW_NUMBER() OVER (ORDER BY SALARY DESC) AS ROWNUMBER FROM EMPLOYEES ) SELECT SALARY FROM RESULT WHERE ROWNUMBER = 3
Views: 832895 kudvenkat
Oracle Database In-Memory Customers
 
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Oracle Database In-Memory Customers Customers discuss the ease of implementation and performance benefits of Oracle Database In-Memory. ================================= For more information, see http://www.oracle.com/goto/oll Copyright © 2016 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.
Partitioning India - 1947
 
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The new map was drawn on this table.
Views: 274 Dave Moule
COL4: Working with Associative Arrays
 
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Associative arrays are the oldest and most flexible type of collection. This lesson explores how the characteristics of associative arrays and how to work with this type of collection. This video was taken from PLSQLChannel.com, originally recorded before Steven Feuerstein re-joined Oracle in March 2014. ======================================== Practically Perfect PL/SQL with Steven Feuerstein Copyright © 2015 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
Indexing JSON Data in Oracle Database 12c
 
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This video gives an overview of indexing JSON data in Oracle database 12c. For more information see: https://oracle-base.com/articles/12c/indexing-json-data-in-oracle-database-12cr1 Website: https://oracle-base.com Blog: https://oracle-base.com/blog Twitter: https://twitter.com/oraclebase Cameo by Bertrand Drouvot : Blog: https://bdrouvot.wordpress.com/ Twitter : https://twitter.com/BertrandDrouvot Cameo appearances are for fun, not an endorsement of the content of this video. All trademarks, product names and logos are the property of their respective owners.
Views: 1579 ORACLE-BASE.com
COL6: Working with Varrays
 
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Varrays (varying arrays) are collections for which an upper limit on number of elements is specified. This lesson explores how to define and work with varrays. This video was taken from PLSQLChannel.com, originally recorded before Steven Feuerstein re-joined Oracle in March 2014. ======================================== Practically Perfect PL/SQL with Steven Feuerstein Copyright © 2015 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.

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