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Oracle Indexes - Beginner
 
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Oracle Indexes - Beginner
Views: 66621 Chris Ostrowski
Oracle || Indexes Part-1 by dinesh
 
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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: 42330 Manish Sharma
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: 7545 Tech Coach
BitMap Indexes & Examples
 
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BitMap Indexes & Examples watch more videos at https://www.tutorialspoint.com/videotutorials/index.htm Lecture By: Mr. Parth Panjab, Tutorials Point India Private Limited
07 03 Bitmap Indexes
 
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ORACLE
Views: 9393 oracle ocm
Collections in PL/SQL | Oracle PL/SQL Tutorial Videos | Mr.Vijay Kumar
 
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Collections in PL/SQL PLSQL Tutorial
Views: 31553 Naresh i Technologies
DBMS - Sparse vs. Dense Index
 
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DBMS - Sparse vs. Dense Index Watch more Videos at https://www.tutorialspoint.com/videotutorials/index.htm Lecture By: Mr. Arnab Chakraborty, Tutorials Point India Private Limited
PL/SQL tutorial 78: PL/SQL FORALL statement with INDICES OF clause in Oracle Database
 
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Checkout this latest PL/SQL tutorial on RebellionRider.com and learn what are the shortcomings of first bound clause (i.e. Lower & Upper Bound) and how we can overcome those shortcomings using INDICES OF bound clause of FORALL statement in Oracle PL/SQL by Manish Sharma. ------------------------------------------------------------------------ ►►►LINKS◄◄◄ Blog: http://bit.ly/forall-3 Bolg is online but you can still learn what is a DBMS http://bit.ly/the-DBMS Previous Tutorial ► FORALL with Lower & Upper Bound https://youtu.be/z5-hSxyUrkk ►PL/SQL FOR LOOP https://youtu.be/DfAmnj2j7WI ►SELECT-INTO statement https://youtu.be/F5eMJhwmCQs ►Nested Table https://youtu.be/EUYyiFCzU0I ------------------------------------------------------------------------- ►Make sure you SUBSCRIBE and be the 1st one to see my videos! ------------------------------------------------------------------------- ►►►Find me on Social Media◄◄◄ Follow What I am up to as it happens on https://twitter.com/rebellionrider http://instagram.com/rebellionrider https://plus.google.com/+Rebellionrider http://in.linkedin.com/in/mannbhardwaj/ ___Facebook Official Page of Manish Sharma___ https://www.facebook.com/TheRebellionRider/ ___Facebook Official Page of RebellionRider.com___ https://www.facebook.com/RebellionRider.official/ You can also Email me at for E-mail address please check the About section Please please LIKE and SHARE my videos it makes me happy. Thanks for liking, commenting, sharing and watching more of our videos This is Manish from RebellionRider.com ♥ I LOVE ALL MY VIEWERS AND SUBSCRIBERS
Views: 5424 Manish Sharma
BITMAP  and  BITMAP JOIN INDEX IN ORACLE explained
 
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The video explains BITMAP and BITMAP JOIN INDEX IN ORACLE and when you should create them on a column. BITMAP INDEXES should be dealt with carefully as they can lead to serious performance issues if the table is updated by multiple processes in parallel. Indexing Basics :https://www.youtube.com/watch?v=0X9bbtwTnuE&t=1095s Star and snowflake Schema :https://www.youtube.com/watch?v=Qq4yhhAk9fc&t=17s
Views: 5271 Tech Coach
3 Dense and Sparse Indexing
 
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***Correction: Index records contain search key value and a pointer to the actual record on the disk.
Views: 3706 DGate Academy
PL/SQL tutorial 76: Introduction to FORALL statement in Oracle Database
 
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RebellionRider.com presents Introduction to bulk Data processing using FORALL statement in Oracle Database by Manish Sharma ------------------------------------------------------------------------ ►►►LINKS◄◄◄ Blog: http://bit.ly/forall-01 Previous Tutorial ► PL/SQL Bulk Collect with LIMIT clause ►SQL Error ORA-00942 Table or View Does Not Exist in Oracle Database http://bit.ly/ora-00942 ------------------------------------------------------------------------- ►Make sure you SUBSCRIBE and be the 1st one to see my videos! ------------------------------------------------------------------------- ►►►Find me on Social Media◄◄◄ Follow What I am up to as it happens on https://twitter.com/rebellionrider http://instagram.com/rebellionrider https://plus.google.com/+Rebellionrider http://in.linkedin.com/in/mannbhardwaj/ ___Facebook Official Page of Manish Sharma___ https://www.facebook.com/TheRebellionRider/ ___Facebook Official Page of RebellionRider.com___ https://www.facebook.com/RebellionRider.official/ You can also Email me at for E-mail address please check the About section Please please LIKE and SHARE my videos it makes me happy. Thanks for liking, commenting, sharing and watching more of our videos This is Manish from RebellionRider.com ♥ I LOVE ALL MY VIEWERS AND SUBSCRIBERS
Views: 7324 Manish Sharma
Oracle Tutorial - 10 - indexes
 
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Oracle PL/SQL Query Database. Check more videos on IT courses on iAspireAcademy.org
Views: 22525 iAspireAcademy
PL/SQL tutorial 72: Introduction to PL/SQL Bulk Collect in Oracle Database
 
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Learn what is PL/SQL Bulk Collect and why do we need it in Oracle Database by Manish Sharma from RebellionRider.com ------------------------------------------------------------------------ ►►►LINKS◄◄◄ Blog: http://bit.ly/bulk-collect-1 Previous Tutorial ►Sys_RefCursor: http://bit.ly/ref-cursor-5 ------------------------------------------------------------------------- ►Make sure you SUBSCRIBE and be the 1st one to see my videos! ------------------------------------------------------------------------- ►►►Find me on Social Media◄◄◄ Follow What I am up to as it happens on https://twitter.com/rebellionrider http://instagram.com/rebellionrider https://plus.google.com/+Rebellionrider http://in.linkedin.com/in/mannbhardwaj/ ___Facebook Official Page of Manish Sharma___ https://www.facebook.com/TheRebellionRider/ ___Facebook Official Page of RebellionRider.com___ https://www.facebook.com/RebellionRider.official/ You can also Email me at for E-mail address please check the About section Please please LIKE and SHARE my videos it makes me happy. Thanks for liking, commenting, sharing and watching more of our videos This is Manish from RebellionRider.com ♥ I LOVE ALL MY VIEWERS AND SUBSCRIBERS
Views: 14036 Manish Sharma
SQL: Indexes - Bit Map & B-trees
 
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In this tutorial, you'll learn when to use b-tree and bitmap index
Views: 54622 radhikaravikumar
Use NOCOPY to Improve Performance
 
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The NOCOPY parameter hint tells the PL/SQL compiler to pass OUT and IN-OUT parameters "by reference" (meaning: do not copy in, nor copy out). The result is better performance and reduced PGA consumption. ====================================== 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.
DBMS Indexing: The Basic Concept
 
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A quick introduction to the concept of indexing in RDBMSs
Views: 168838 Brian Finnegan
Clustered vs. Nonclustered Index Structures in SQL Server
 
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Clustered and nonclustered indexes share many of the same internal structures, but they're fundamentally different in nature. Watch Microsoft Certified IT Professional Jon Seigel explain the similarities and differences of clustered and nonclustered indexes, using a real-world example to show how these structures work to improve the performance of SQL queries. Blog post on primary key vs. the clustered index: http://voluntarydba.com/post/2012/10/02/The-Primary-Key-vs-The-Clustered-Index.aspx CREATE INDEX statement reference: http://technet.microsoft.com/en-us/library/ms188783.aspx ALTER INDEX statement reference: http://technet.microsoft.com/en-us/library/ms188388.aspx Index navigation internals by example: http://sqlblog.com/blogs/paul_white/archive/2011/08/09/sql-server-seeks-and-binary-search.aspx Sample index data is from the AdventureWorksLT2008R2 sample database: http://awlt2008dbscript.codeplex.com/releases/view/46169 Visit my channel for more database administration videos: https://www.youtube.com/voluntarydba Subscribe to get notified about my latest videos: https://www.youtube.com/voluntarydba?sub_confirmation=1 Read additional content on my blog: http://voluntarydba.com Follow on Twitter: https://twitter.com/voluntarydba Like on Facebook: https://facebook.com/voluntarydba
Views: 301987 Voluntary DBA
Oracle SQL Tutorial 21 - How to Create / Drop Indexes
 
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In the last video, we wrote up the SQL to create three tables: CREATE TABLE users( user_id NUMBER, username VARCHAR2(50 CHAR) UNIQUE, CONSTRAINT users_pk PRIMARY KEY (user_id) ); CREATE TABLE projects( project_id NUMBER, Project_name VARCHAR2(50 CHAR) UNIQUE, creator VARCHAR2(50 CHAR) NOT NULL, CONSTRAINT projects_pk PRIMARY KEY (project_id), CONSTRAINT projects_users_fk FOREIGN KEY (creator) REFERENCES users (username) ON DELETE CASCADE ); CREATE TABLE project_users( project_id NUMBER NOT NULL REFERENCES projects (project_id) ON DELETE CASCADE, user_id NUMBER NOT NULL REFERENCES users (user_id) ON DELETE CASCADE, CONSTRAINT project_users_pk PRIMARY KEY (project_id, user_id) ); I'm going to increase the size of the users table a bit by adding a first and last name column. CREATE TABLE users( user_id NUMBER, username VARCHAR2(50 CHAR) UNIQUE, first_name VARCHAR2(50 CHAR), last_name VARCHAR2 (50 CHAR), CONSTRAINT users_pk PRIMARY KEY (user_id) ); But before we finish this design, we should consider indexing certain columns. What columns should we index? Well, as a reminder, the columns that are indexed by default are columns with the UNIQUE constraint, and those that are labeled as primary keys. Columns that are not indexed but often should be are those labeled as a foreign key. The column that jumps out the most to me is the creator column of the project table. It's the only foreign key that is not part of some index. Let's fix this by creating our first index. The way we do that is with the CREATE INDEX command. CREATE INDEX projects_creator_ix ON projects (creator) What naming convention are we following for the index? We are naming it by the table name, followed by an underscore, followed by the column, followed by an underscore, followed by an ix (for index). In this situation it does not apply, but if our foreign key column is labeled as UNIQUE, we can add the UNIQUE keyword like this: CREATE UNIQUE INDEX projects_creator_ix ON projects (creator) Now if you want to get rid of an INDEX, you can use this command: DROP INDEX projects_creator_ix Now, if we want to select data from the user table and the project table we can do that much faster. That's because the foreign key and column it references are both indexed and those are the columns we would do the join on. We will discuss how to do joins in a future video. So what are some potential problems with this database design? Overall, it is pretty good. With this design though we need to make sure there is no way for someone to update a user's username. In the next video we are going to discuss why. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Support me on Patreon! http://www.patreon.com/calebcurry Subscribe to my newsletter: http://bit.ly/JoinCCNewsletter Donate!: http://bit.ly/DonateCTVM2. ~~~~~~~~~~~~~~~Additional Links~~~~~~~~~~~~~~~ More content: http://CalebCurry.com Facebook: http://www.facebook.com/CalebTheVideoMaker Google+: https://plus.google.com/+CalebTheVideoMaker2 Twitter: http://twitter.com/calebCurry Amazing Web Hosting - http://bit.ly/ccbluehost (The best web hosting for a cheap price!)
Views: 9420 Caleb Curry
Why do we need Bit Map Index
 
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Internals of Bitmap Indexes in Oracle For Full Course Experience Please Go To http://mentorsnet.org/course_preview?course_id=6 Full Course Experience Includes 1. Access to course videos and exercises 2. View & manage your progress/pace 3. In-class projects and code reviews 4. Personal guidance from your Mentors
Views: 45270 Oresoft LWC
PART 5.7 Clustering Index | DBMS HINDI |
 
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Thank you friends for watching the video. Please Like the video if it has helped you in any way & do subscribe to the channel. This video contains the detailed discussion of clustered indexing in dbms with example. Detail explanation of Clustered Indexing, Example of Clustered Indexing, How Clustered indexing works in dbms,Need of Clustered Indexing, Where Clustered Indexing is used,Advantages of Clustered Indexing,Properties of Clustered Indexing in dbms, Properties of single level indexing, Questions of Clustered Indexing,Numericals on Clustered Indexing for gate exam, How Clustered indexing works on file is explained. CLUSTERED INDEXING: - i)Main file will be ordered on some non-key attributes ii)No of entries in the index file = no of unique values of the attribute on which indexing is done. iii)It is the example of Sparse as well as dense indexing Block access required will be greater than equal to log2n +1, where n is no of block acquired by Index file. Please spare some time and fill this form so that we can know about you and what you think about us: https://goo.gl/forms/b5ffxRyEAsaoUatx2 Your review/recommendation and some words can help validating our quality of content and work.. so Please do the following: - 1) Give us a 5 star review with comment on Google https://goo.gl/maps/sLgzMX5oUZ82 2) Follow our Facebook page and give us a 5 star review with comments https://www.facebook.com/pg/knowledgegate.in/reviews 3) Follow us on Instagram https://www.instagram.com/mail.knowledgegate/ DBMS blueprint, DataBase Management system,database,DBMS, RDBMS, Relations, Table, Query, Normalization, Normal forms,Database design,Relational Model,Instance,Schema,Data Definition Language, SQL queries, ER Diagrams, Entity Relationship Model,Constraints,Entity,Attributes,Weak entity, Types of entity,DataBase design, database architecture, Degree of relation,Cardinality ratio,One to many relationship,Many to many relationships,Relational Algebra,Relational Calculus, Tuples, Natural Join, Join operations,Database Architecture,database Schema, Keys in DBMS, Primary keys, Candidate keys, Foreign keys,Data redundancy, Duplicacy in data, Data Inconsistency, Normalization, First Normal Form,Second Normal Form, third normal forms, Boye codd's normal form,1NF,2NF,3NF,BCNF, Normalization rules, Decomposition of relation, Functional Dependency,Partial Dependency, Multivalued dependency,Indexing,Hashing, B tree,B+ tree,Ordered Indexing,Select operation,Join operations, Natural joins, SQL commands,File structure in DBMS,Primary Indexing,Clustered Indexing,Concurrency control protocols, Transaction Management in DBMS,ACID properties, Data Consistency, Concurrency in database,Deadlock in database, Deadlock handling, Database Recovery, Deadlock avoidance, Deadlock prevention,Scheduling in dbms, Conflict Serializability, Serial Schedules, Two phase locking,SQL commands,DBMS for gate , DBMS for net, DBMS lectures, DBMS tutorials, DBMS for beginners, learn DBMS, Clustered Indexing in dbms, Indexing in dbms tutorial in hindi,about indexing in dbms,indexing and hashing in dbms, terminologies in Clustered indexing in database,Clustered indexing in dbms example,indexing in dbms tutorial,disadvantages of indexing in dbms,indexing in dbms for gate, sparse indexing example, dense indexing in dbms example,Clustered Indexing in DBMS,numerical of Clustered indexing in dbms, solved question of Clustered indexing in dbms,indexing in dbms tutorial for Gate, Net hindi, Clustered Indexing in dbms, Indexing in dbms tutorial in hindi,about indexing in dbms,indexing and hashing in dbms, terminologies in Clustered indexing in database,Clustered indexing in dbms example,indexing in dbms tutorial,disadvantages of indexing in dbms,indexing in dbms for gate, sparse indexing example, dense indexing in dbms example,Clustered Indexing in DBMS,numerical of Clustered indexing in dbms, solved question of Clustered indexing in dbms,indexing in dbms tutorial for Gate, Net hindi, DBMS blueprint, DataBase Management system,database,DBMS, RDBMS, Relations, Table, Query, Normalization, Normal forms,Database design,Relational Model,Instance,Schema,Data Definition Language, SQL queries, ER Diagrams, Entity Relationship Model,Constraints,Entity,Attributes,Weak entity, Types of entity,DataBase design, database architecture, Degree of relation,Cardinality ratio,One to many relationship,Many to many relationships,Relational Algebra,Relational Calculus, Tuples, Natural Join, Join operations,Database Architecture,database Schema, Keys in DBMS, Primary keys, Candidate keys, Foreign keys,Data redundancy, Duplicacy in data, Data Inconsistency, Normalization, First Normal Form,Second Normal Form, third normal forms, Boye codd's normal form,1NF,2NF,3NF,BCNF, Normalization rules, Decomposition of relation, Functional Dependency,
Views: 77935 KNOWLEDGE GATE
91 Bitmap Indexes
 
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Views: 6960 Husnah Hasan
BTree Index in Oracle Database
 
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In this video, you will learn how to create B-Tree Index,Composite Index , Leaf node in B-Tree Index. For More Videos and Blogs:- Visit Our Website - http://www.dbatrainer.com Also , Subscribe and Follow us on our social media pages:- LinkedIn - https://www.linkedin.com/company/dbatrainer FaceBook - https://www.facebook.com/dbatrainer Google Plus - https://plus.google.com/+DBATrainer Twitter - https://www.twitter.com/DBA_Trainer "Exceptional Education. Exceptional Value."
Views: 447 DBA Trainer
PL/SQL tutorial 15: DML Trigger With Before Insert, Update and Delete DML Examples
 
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PL/SQL Tutorial 15 explaining DML Trigger with examples such as Before Insert, Update and Delete in Detail. ------------------------------------------------------------------------ ►►►LINKS◄◄◄ Blog : http://bit.ly/dml-triggers Previous Tutorial ► Trigger Intro : https://youtu.be/R3fvX_xf5P4 ► SELECT-INTO : https://youtu.be/F5eMJhwmCQs ►IF-THEN-ELSIF: https://youtu.be/aW9XgUHSr0I ------------------------------------------------------------------------- ►►►Let's Get Free Uber Cab◄◄◄ Use Referral Code UberRebellionRider and get $20 free for your first ride. ------------------------------------------------------------------------- ►Make sure you SUBSCRIBE and be the 1st one to see my videos! ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ►►►Find me on Social Media◄◄◄ Follow What I am up to as it happens on https://twitter.com/rebellionrider 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: 108305 Manish Sharma
PART 5.3 Indexing in dbms in hindi basics of indexing in dbms primary secondary clustered
 
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Thank you friends for watching the video. Please Like the video if it has helped you in any way & do subscribe to the channel. This video discuss the concept of Indexing in database in hindi. Important topic of database Indexing like need of indexing in database management indexing, Why we do indexing in files in database, How we do indexing in dbms, Types of indexing, Methods of Indexing, Advantages of Indexing,How to access a file fast in database, Single level Indexing in database file, Multilevel indexing in database file structure in dbms,Dense indexing in database, Sparse Indexing in database,Index file in dbms, Advantages of using Index file in database are discussed. What is Indexing: Additional auxiliary access structure are called indexes, a data technique to efficiently retrieve records from the database files based on some attributes on which the indexing has been done. Dense Index: 1) In dense index, there is an entry in the index file for every search key value in the main file. This makes searching faster but requires more space to store index records itself. 2) Note that it is not for every record, it is for every search key value. Some time number of records in the main file is greater than equal to number of search keys in the main file, for example if search key is repeated. Sparse Index: 1) If an index entry is created only for some records of the main file, then it is called sparse index. 2) No. of index entries in the index file → No. of records in the main file. Please spare some time and fill this form so that we can know about you and what you think about us: https://goo.gl/forms/b5ffxRyEAsaoUatx2 Your review/recommendation and some words can help validating our quality of content and work.. so Please do the following: - 1) Give us a 5 star review with comment on Google https://goo.gl/maps/sLgzMX5oUZ82 2) Follow our Facebook page and give us a 5 star review with comments https://www.facebook.com/pg/knowledgegate.in/reviews 3) Follow us on Instagram https://www.instagram.com/mail.knowledgegate/ DBMS blueprint, DataBase Management system,database,DBMS, RDBMS, Relations, Table, Query, Normalization, Normal forms,Database design,Relational Model,Instance,Schema,Data Definition Language, SQL queries, ER Diagrams, Entity Relationship Model,Constraints,Entity,Attributes,Weak entity, Types of entity,DataBase design, database architecture, Degree of relation,Cardinality ratio,One to many relationship,Many to many relationships,Relational Algebra,Relational Calculus, Tuples, Natural Join, Join operations,Database Architecture,database Schema, Keys in DBMS, Primary keys, Candidate keys, Foreign keys,Data redundancy, Duplicacy in data, Data Inconsistency, Normalization, First Normal Form,Second Normal Form, third normal forms, Boye codd's normal form,1NF,2NF,3NF,BCNF, Normalization rules, Decomposition of relation, Functional Dependency,Partial Dependency, Multivalued dependency,Indexing,Hashing, B tree,B+ tree,Ordered Indexing,Select operation,Join operations, Natural joins, SQL commands,File structure in DBMS,Primary Indexing,Clustered Indexing,Concurrency control protocols, Transaction Management in DBMS,ACID properties, Data Consistency, Concurrency in database,Deadlock in database, Deadlock handling, Database Recovery, Deadlock avoidance, Deadlock prevention,Scheduling in dbms, Conflict Serializability, Serial Schedules, Two phase locking,SQL commands,DBMS for gate , DBMS for net, DBMS lectures, DBMS tutorials, DBMS for beginners, learn DBMS, Indexing in dbms, Indexing in dbms tutorial in hindi,about indexing in dbms,indexing and hashing in dbms, terminologies in indexing in database,indexing in dbms example,indexing in dbms tutorial,disadvantages of indexing in dbms,indexing in dbms for gate, sparse indexing example, dense indexing in dbms example,Indexing in dbms, Indexing in dbms tutorial in hindi,about indexing in dbms,indexing and hashing in dbms, terminologies in indexing in database,indexing in dbms example,indexing in dbms tutorial,disadvantages of indexing in dbms,indexing in dbms for gate, sparse indexing example, dense indexing in dbms example,DBMS blueprint, DataBase Management system,database,DBMS, RDBMS, Relations, Table, Query, Normalization, Normal forms,Database design,Relational Model,Instance,Schema,Data Definition Language, SQL queries, ER Diagrams, Entity Relationship Model,Constraints,Entity,Attributes,Weak entity, Types of entity,DataBase design, database architecture, Degree of relation,Cardinality ratio,One to many relationship,Many to many relationships,Relational Algebra,Relational Calculus, Tuples, Natural Join, Join operations,Database Architecture,database Schema, Keys in DBMS, Primary keys, Candidate keys, Foreign keys,Data redundancy, Duplicacy in data, Data Inconsistency, Normalization,
Views: 168242 KNOWLEDGE GATE
PART 5.4 Types of Indexing in DBMS in HINDI different classification of indexing physical secondary
 
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Thank you friends for watching the video. Please Like the video if it has helped you in any way & do subscribe to the channel. This video discuss the Types of Indexing in database in hindi. Important topic of database Indexing like need of indexing in database management indexing, Why we do indexing in files in database, How we do indexing in dbms, Types of indexing, Methods of Indexing, Advantages of Indexing,How to access a file fast in database, Single level Indexing in database file, Multilevel indexing in database file structure in dbms,Primary Indexing in database, Clustered Indexing in database,Secondary Indexing file in dbms, Advantages of using single level Indexing in database are discussed. Single level index: This means we create index file for the main file, and then stop the process. Multiple level index:This means, we further index the index file and keep repeating the process until we get one block.Multi-level Index helps in breaking down the index into several smaller indices in order to make the outermost level so small that it can be saved in a single disk block-0, which can easily be accommodated anywhere in the main memory. A.) PRIMARY INDEXING- i) Main file is always sorted according to primary key. ii) Indexing is done on Primary Key, therefor called as primary indexing B.) CLUSTERED INDEXING: - i) Main file will be ordered on some non-key attributes ii) No of entries in the index file = no of unique values of the attribute on which indexing is done. iii) It is the example of Sparse as well as dense indexing C.) SECONDARY INDEXING- i) Most common scenarios, Suppose that we already have a primary indexing on primary key, but there are frequent query on some other attributes , so we may decide to have one more index file with some other attribute. ii) Main file is ordered according to the attribute on which indexing is done(unordered). iii) Secondary indexing can be done on key or non-key attribute. iii) It is an example of dense indexing. Please spare some time and fill this form so that we can know about you and what you think about us: https://goo.gl/forms/b5ffxRyEAsaoUatx2 Your review/recommendation and some words can help validating our quality of content and work.. so Please do the following: - 1) Give us a 5 star review with comment on Google https://goo.gl/maps/sLgzMX5oUZ82 2) Follow our Facebook page and give us a 5 star review with comments https://www.facebook.com/pg/knowledgegate.in/reviews 3) Follow us on Instagram https://www.instagram.com/mail.knowledgegate/ DBMS blueprint, DataBase Management system,database,DBMS, RDBMS, Relations, Table, Query, Normalization, Normal forms,Database design,Relational Model,Instance,Schema,Data Definition Language, SQL queries, ER Diagrams, Entity Relationship Model,Constraints,Entity,Attributes,Weak entity, Types of entity,DataBase design, database architecture, Degree of relation,Cardinality ratio,One to many relationship,Many to many relationships,Relational Algebra,Relational Calculus, Tuples, Natural Join, Join operations,Database Architecture,database Schema, Keys in DBMS, Primary keys, Candidate keys, Foreign keys,Data redundancy, Duplicacy in data, Data Inconsistency, Normalization, First Normal Form,Second Normal Form, third normal forms, Boye codd's normal form,1NF,2NF,3NF,BCNF, Normalization rules, Decomposition of relation, Functional Dependency,Partial Dependency, Multivalued dependency,Indexing,Hashing, B tree,B+ tree,Ordered Indexing,Select operation,Join operations, Natural joins, SQL commands,File structure in DBMS,Primary Indexing,Clustered Indexing,Concurrency control protocols, Transaction Management in DBMS,ACID properties, Data Consistency, Concurrency in database,Deadlock in database, Deadlock handling, Database Recovery, Deadlock avoidance, Deadlock prevention,Scheduling in dbms, Conflict Serializability, Serial Schedules, Two phase locking,SQL commands,DBMS for gate , DBMS for net, DBMS lectures, DBMS tutorials, DBMS for beginners, learn DBMS, Indexing in dbms, Indexing in dbms tutorial in hindi,about indexing in dbms,indexing and hashing in dbms, terminologies in indexing in database,indexing in dbms example,indexing in dbms tutorial,disadvantages of indexing in dbms,indexing in dbms for gate, sparse indexing example, dense indexing in dbms example,Primary Indexing in DBMS, Secondary Indexing in database management system, Clustered indexing in database, indexing in dbms tutorial hindi, Indexing in dbms, Indexing in dbms tutorial in hindi,about indexing in dbms,indexing and hashing in dbms, terminologies in indexing in database,indexing in dbms example,indexing in dbms tutorial,disadvantages of indexing in dbms,indexing in dbms for gate, sparse indexing example, dense indexing in dbms example,Primary Indexing in DBMS, Secondary Indexing in database management system, Clustered indexing in database, indexing in dbms tutorial hindi,
Views: 108219 KNOWLEDGE GATE
45. Primary Key and Foreign Key Constraints in PL/SQL Oracle
 
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In this video you will learn about Primary Key and Foreign Key Constraints in PL/SQL Oracle. For Support =========== Email: [email protected] Contact Form: http://www.learninhindi.com/home/contact Our Social Media ================ Facebook: https://www.facebook.com/LearnInHindi Twitter: https://twitter.com/LearnInHindi For Training & Videos ===================== For more videos and articles visit: http://www.learninhindi.com Free Java Programming In Hindi Course ===================================== https://www.youtube.com/playlist?list=PLOZ3jentlCDAwwhMyoLISrxkXTADGp7PH Free Oracle PL/SQL Programming In Hindi Course ============================================== https://www.youtube.com/playlist?list=PLB5DA82419C2D99B6 Free C Programming In Hindi Course ================================== https://www.youtube.com/playlist?list=PLOZ3jentlCDAxKpBLMWogxSdy6BZcsAJq Trips & Tricks Channel ====================== https://www.youtube.com/channel/UCGmLfkuCo-3lHHJXRJ9HUMw Programming in Hindi Channel ============================ https://www.youtube.com/channel/UCudElIDgwNrybeAvXIy1HZQ
Views: 11714 ITORIAN
B*Tree Index Fundamentals(Indexes in Oracle-1)
 
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Part -1 : Introduction to Indexes, B*Tree Indexes, Index scan methods. Part -2 : B*Tree Index Types(different types of B*Tree indexes) Part -3: Using B*Tree Indexes(When use B*Tree indexes, factors related to B*Tree Access) Part -4 : Index Organized Table Part -5 : Bitmap Indexes Part -6: Partitioned Indexes Part- 7: Other type of Indexes based on characteristics & use. Part -8: Managing Indexes
Views: 49647 Anindya Das
09 01  Understanding Indexes
 
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Views: 106920 solubletech
B-Tree Indexes
 
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In this video, I'd like to take a look at B-tree indexes and show how knowing them can help design better database tables and queries.
What is REVERSE INDEX? What does REVERSE INDEX mean? REVERSE INDEX meaning & explanation
 
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What is REVERSE INDEX? What does REVERSE INDEX mean? REVERSE INDEX meaning - REVERSE INDEX definition - REVERSE INDEX explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. SUBSCRIBE to our Google Earth flights channel - https://www.youtube.com/channel/UC6UuCPh7GrXznZi0Hz2YQnQ Database management systems provide multiple types of indexes to improve performance and data integrity across diverse applications. Index types include b-trees, bitmaps, and r-trees. In database management systems, a reverse key index strategy reverses the key value before entering it in the index. E.g., the value 24538 becomes 83542 in the index. Reversing the key value is particularly useful for indexing data such as sequence numbers, where each new key value is greater than the prior value, i.e., values monotonically increase. Reverse key indexes have become particularly important in high volume transaction processing systems because they reduce contention for index blocks. Reversed key indexes use b-tree structures, but preprocess key values before inserting them. Simplifying, b-trees place similar values on a single index block, e.g., storing 24538 on the same block as 24539. This makes them efficient both for looking up a specific value and for finding values within a range. However if the application inserts values in sequence, each insert must have access to the newest block in the index in order to add the new value. If many users attempt to insert at the same time, they all must write to that block and have to get in line, slowing down the application. This is particularly a problem in clustered databases, which may require the block to be copied from one computer's memory to another's to allow the next user to perform their insert. Reversing the key spreads similar new values across the entire index instead of concentrating them in any one leaf block. This means that 24538 appears on the same block as 14538 while 24539 goes to a different block, eliminating this cause of contention. (Since 14538 would have been created long before 24538, their inserts don't interfere with each other.) Reverse indexes are just as efficient as unreversed indexes for finding specific values, although they aren't helpful for range queries. Range queries are uncommon for artificial values such as sequence numbers. When searching the index, the query processor simply reverses the search target before looking it up. Typically, applications delete data that is older on average before deleting newer data. Thus, data with lower sequence numbers generally go before those with higher values. As time passes, in standard b-trees, index blocks for lower values end up containing few values, with a commensurate increase in unused space, referred to as "rot". Rot not only wastes space, but slows query speeds, because a smaller fraction of a rotten index's blocks fit in memory at any one time. In a b-tree, if 14538 gets deleted, its index space remains empty. In a reverse index, if 14538 goes before 24538 arrives, 24538 can reuse 14538's space.
Views: 876 The Audiopedia
SQL Server Index Example in Tamil
 
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Click here to Subscribe to IT PORT Channel : https://www.youtube.com/channel/UCMjmoppveJ3mwspLKXYbVlg SQL Server Clustered & Non Clustered Index with example. Create index in a Table with bulk data, and Comparing Performance
Views: 4455 IT Port
Database Design 39 - Indexes (Clustered, Nonclustered, Composite Index)
 
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This video covers the basics of indexes. Indexing is an extremely important step of database design. Without Indexes database queries can take a substantial amount of time and hog system resources. The main two classifications of indexes are clustered and non-clustered indexes. Clustered indexes are usually the primary key and determine how the data is actually stored in the table. These are the fastest and most effective. Non-clustered indexes sort a reference to data that is still fast but doesn't actually determine how the data is structured. The best tip I can give you is to use indexes but don't over use them. Having loads of indexes on columns that are barely ever in a where clause or join can bog down the database. This is because every time the table is updated the index must also be updated! When a database looks through a table for certain where conditions on a column that does not have an index, it does an entire table scan. This is not a good practice for large databases (or even small databases but not as bad). With an index the database will do an index seek and quickly find the data you are looking for. Composite indexes consist of two or more columns within one index. Use these when you plan on using the two columns together for a database query WHERE clause. Learn more about indexes here: https://www.calebcurry.com/blogs/database-design/introduction-to-indexes Donate!: http://bit.ly/DonateCTVM2. Courses for Download: http://www.udemy.com/u/calebcurry/ (Use the coupon code "YouTubeDiscount" without the quotes) Facebook: http://www.facebook.com/CalebTheVideoMaker Google+: https://plus.google.com/+CalebTheVideoMaker2 Twitter: http://Twitter.com/calebCurry Subscribe (it's free!): https://www.youtube.com/channel/UCZUyPT9DkJWmS_DzdOi7RIA?sub_confirmation=1 Amazing Web Hosting - http://bit.ly/ccbluehost (The best web hosting for a cheap price!)
Views: 98701 Caleb Curry
What is an Index - Database Tutorial 8
 
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Database Tutorial. This video is about Database Fundamentals. I hope this series of videos can help those who want to be Database Professionals. I will cover various database technologies including Oracle Database, Microsoft SQL Server database and Sybase. Video: What is an Index (Video 8 in the Database Tutorial Series)
Views: 113648 Sam Dhanasekaran
DBMS - Hash Index
 
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DBMS - Hash Index Watch more Videos at https://www.tutorialspoint.com/videotutorials/index.htm Lecture By: Mr. Arnab Chakraborty, Tutorials Point India Private Limited
Indexing in dbms | dbms indexing in hindi | Introduction to Indexing | DBMS Lectures in Hindi #85
 
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Welcome to series of gate lectures by well academy GATE Practice Book Purchase Link ( ACE Academy ) https://goo.gl/jESdtD GATE Practice Book Purchase Link ( Made Easy ) https://goo.gl/zUU5Vn Here are some more GATE lectures by well academy SQL create table in hindi | SQL tutorial in hindi | DBMS Lectures in hindi #72 : https://youtu.be/Pm8XAQYDBGw constraints in dbms | constraints in sql in hindi | DBMS Lectures in Hindi #73 : https://youtu.be/kevkLGrJvUg sql insert command | sql insert into table | sql insert query | DBMS Lectures in hindi #74 : https://youtu.be/lsxyUFjh148 SQL Delete row | SQL Update Query | sql queries tutorial in hindi | DBMS Lectures in hindi #75 : https://youtu.be/KuUPDpYKtT0 referential integrity constraint in dbms | referential integrity in sql | DBMS Lectures in Hindi #76 : https://youtu.be/UT_8T7EL2Og SQL Alter command | sql alter table add column | dbms queries tutorial | DBMS Lectures in Hindi #77 : https://youtu.be/uCjKTMdy094 sql select query | sql select statement | sql select from multiple tables | dbms Lectures #78 : https://youtu.be/-Lo6KHlkiQk create view in sql | view in sql in hindi | View Operation in SQL | DBMS Lectures in Hindi #79 : https://youtu.be/YURtgFm0cIk SQL Pattern Matching | LIKE Condition | DBMS Gate Lectures in hindi #80 : https://youtu.be/goMsplCB730 arithmetic operators in SQL | SQL Arithmatic Operators | DBMS Lectures in Hindi #81 : https://youtu.be/kAfHeYfTXFI SQL order by | sql order by tutorial | dbms queries tutorial | DBMS Lectures in Hindi #82 : https://youtu.be/E8p1HzzCUW0 file organization in dbms | file organization in database | file organization in dbms in hindi #83 : https://youtu.be/ofslaTIpT8A organization of records in files in dbms | Ordered and Unordered | DBMS Lectures in hindi #84 : https://youtu.be/AsrQuq53xRI Facebook Me : https://goo.gl/2zQDpD Click here to subscribe well Academy https://www.youtube.com/wellacademy1 GATE Lectures by Well Academy Facebook Group https://www.facebook.com/groups/1392049960910003/ Thank you for watching share with your friends Follow on : Facebook page : https://www.facebook.com/wellacademy/ Instagram page : https://instagram.com/well_academy Twitter : https://twitter.com/well_academy file indexing in dbms, indexing in dbms in hindi, indexing in dbms with examples, types of indexing in dbms, dbms indexing gate, dbms indexing, dbms indexing gate, dbms indexing in hindi, indexing in dbms in hindi, indexing structures in dbms, indexing in dbms, indexing in dbms for gate, indexing in dbms in english, multilevel indexing in dbms,
Views: 15800 Well Academy
Database Tutorial - 18 - Creating Index
 
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Please Rate, Comment and Subscribe. Available for Hire: http://www.naveedziarab.com Twitter: https://twitter.com/CreativityTuts Website: http://www.creativitytuts.org
Views: 12183 Naveed Ziarab
Indexes In Mysql
 
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Views: 8269 nikhil srivastava
Index organised tables and heap tables, creating index organised tables
 
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Index organised tables and heap tables, creating index organised tables For Students of B.Tech, B.E, MCA, BCA, B.Sc., M.Sc., Courses - As Per IP University Syllabus and Other Engineering Courses
SelectTec | Aula Nº 28 | Create Index - Oracle SQL Developer
 
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create index syntax: create unique index nome_indice tabela(colula)
Views: 1666 SelectTec
PL/SQL tutorial 74: PL/SQL Bulk Collect Clause with FETCH-INTO statement of an explicit cursor
 
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RebellionRider.com presents a PL/SQL tutorial on how to use PL/SQL Bulk Collect with Fetch-Into statement of an explicit cursor in Oracle Database. Watch and learn how to enhance query performance with Bulk Collect in Oracle Database by Manish Sharma. ------------------------------------------------------------------------ ►►►LINKS◄◄◄ Blog: http://bit.ly/bulk-collect-3 Previous Tutorial ► Introduction to Bulk Collect: https://youtu.be/HPVzFBluM_Q ► Explicit Cursor: https://youtu.be/3q7dW_d2KVc ► Simple Loop: https://youtu.be/AFx6QYcY1CU ► The script on GIT: https://github.com/RebellionRider/pl-sql-tut-74.git ------------------------------------------------------------------------- ►Make sure you SUBSCRIBE and be the 1st one to see my videos! ------------------------------------------------------------------------- ►►►Find me on Social Media◄◄◄ Follow What I am up to as it happens on https://twitter.com/rebellionrider http://instagram.com/rebellionrider https://plus.google.com/+Rebellionrider http://in.linkedin.com/in/mannbhardwaj/ ___Facebook Official Page of Manish Sharma___ https://www.facebook.com/TheRebellionRider/ ___Facebook Official Page of RebellionRider.com___ https://www.facebook.com/RebellionRider.official/ For E-mail address please check the About section Please please LIKE and SHARE my videos it makes me happy. Thanks for liking, commenting, sharing and watching more of our videos This is Manish from RebellionRider.com ♥ I LOVE ALL MY VIEWERS AND SUBSCRIBERS
Views: 10287 Manish Sharma
PL/SQL Tutorial: BULK COLLECT  LIMIT Clause
 
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PL/SQL Tutorial: BULK COLLECT with LIMIT Clause 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: 456 TechLake
Using FORALL - VALUES OF with sparse arrays
 
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FORALL offers a big performance boost over repeated execution in a loop of the same DML statement (different bind variables) - by binding an array. But what if the array is not densely filled? In that case, you should consider using VALUES OF (or INDICES OF, which will be covered in another video). ======================================== 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.
Clustered and nonclustered indexes in sql server   Part 36
 
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In this video we will learn about 1. Different types of indexes in sql server 2. What are clustered indexes 3. What are NonClustered indexes 4. Difference between clustered and non clustered indexes Text version of the video http://csharp-video-tutorials.blogspot.co.uk/2012/09/clustered-and-non-clustered-indexes.html Slides http://csharp-video-tutorials.blogspot.com/2013/09/part-36-clustered-nonclustered-indexes.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: 484344 kudvenkat
SQL Server 34 - How to Create and Drop Indexes
 
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Creating indexes is a very easy task, but before you go creating indexes on everything, you need to know that some columns are indexed by default. Specifically, any column that is labeled as the PRIMARY KEY or UNIQUE are indexed by default. That means that if you have a UNIQUE column, you do not need to worry about adding an INDEX to it. The columns that you will want to pay special attention to are any foreign keys or columns that you are going to use very frequently. We are going to create an index on our SpeciesID column in our Animals table. This is a foreign key that I'm likely going to use very frequently. CREATE INDEX IX_AnimalsSpecies ON Animals (SpeciesID); The syntax is very similar to CREATE TABLE in that you say CREATE INDEX followed by an index name. The IX_ is a prefix that is sometimes conventionally used to name indexes. Next, we have the table name, and then we have something to describe the column. That way if you see IX_AnimalsSpecies, you automatically know it is talking about an Index for the Animals table that is on the column dealing with the species. To get rid of this index, use this: DROP INDEX IX_AnimalsSpecies; Which is also very similar to how we drop a table. Now, you can also create an INDEX on multiple columns if you are going to use them together very often. The way you do that is just add another column after a comma inside of the () in the index columns. For example: CREATE INDEX IX_AnmialsContact ON Animals (Name, ContactEmail); One other thing I wanted to show you is that you can actually create a UNIQUE Index by adding the keyword in: CREATE UNIQUE INDEX IX_Species ON Species (Species); This should only be used if every value for a column is labeled unique…In fact, it forces every row to be unique. Remember though that if a column is labeled UNIQUE, it is indexed by default...So this is not needed in this situation. In the next video we will discuss in more detail whether you want to use the UNIQUE Constraint create a UNIQUE index. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Support me! http://www.patreon.com/calebcurry Subscribe to my newsletter: http://bit.ly/JoinCCNewsletter Donate!: http://bit.ly/DonateCTVM2. ~~~~~~~~~~~~~~~Additional Links~~~~~~~~~~~~~~~ More content: http://CalebCurry.com Facebook: http://www.facebook.com/CalebTheVideoMaker Google+: https://plus.google.com/+CalebTheVideoMaker2 Twitter: http://twitter.com/calebCurry Amazing Web Hosting - http://bit.ly/ccbluehost (The best web hosting for a cheap price!)
Views: 9440 Caleb Curry
What is BITMAP INDEX? What does BITMAP INDEX mean? BITMAP INDEX meaning & explanation
 
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What is BITMAP INDEX? What does BITMAP INDEX mean? BITMAP INDEX meaning - BITMAP INDEX definition - BITMAP INDEX explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. SUBSCRIBE to our Google Earth flights channel - https://www.youtube.com/channel/UC6UuCPh7GrXznZi0Hz2YQnQ A bitmap index is a special kind of database index that uses bitmaps. Bitmap indexes have traditionally been considered to work well for low-cardinality columns, which have a modest number of distinct values, either absolutely, or relative to the number of records that contain the data. The extreme case of low cardinality is Boolean data (e.g., does a resident in a city have internet access?), which has two values, True and False. Bitmap indexes use bit arrays (commonly called bitmaps) and answer queries by performing bitwise logical operations on these bitmaps. Bitmap indexes have a significant space and performance advantage over other structures for query of such data. Their drawback is they are less efficient than the traditional B-tree indexes for columns whose data is frequently updated: consequently, they are more often employed in read-only systems that are specialized for fast query - e.g., data warehouses, and generally unsuitable for online transaction processing applications. Some researchers argue that bitmap indexes are also useful for moderate or even high-cardinality data (e.g., unique-valued data) which is accessed in a read-only manner, and queries access multiple bitmap-indexed columns using the AND, OR or XOR operators extensively. Bitmap indexes are also useful in data warehousing applications for joining a large fact table to smaller dimension tables such as those arranged in a star schema. Bitmap based representation can also be used for representing a data structure which is labeled and directed attributed multigraph, used for queries in graph databases.Efficient graph management based on bitmap indices article shows how bitmap index representation can be used to manage large dataset(billions of data points) and answer queries related to graph efficiently. Basic bitmap indexes use one bitmap for each distinct value. It is possible to reduce the number of bitmaps used by using a different encoding method. For example, it is possible to encode C distinct values using log(C) bitmaps with binary encoding. This reduces the number of bitmaps, further saving space, but to answer any query, most of the bitmaps have to be accessed. This makes it potentially not as effective as scanning a vertical projection of the base data, also known as a materialized view or projection index. Finding the optimal encoding method that balances (arbitrary) query performance, index size and index maintenance remains a challenge. Without considering compression, Chan and Ioannidis analyzed a class of multi-component encoding methods and came to the conclusion that two-component encoding sits at the kink of the performance vs. index size curve and therefore represents the best trade-off between index size and query performance. For high-cardinality columns, it is useful to bin the values, where each bin covers multiple values and build the bitmaps to represent the values in each bin. This approach reduces the number of bitmaps used regardless of encoding method. However, binned indexes can only answer some queries without examining the base data. For example, if a bin covers the range from 0.1 to 0.2, then when the user asks for all values less than 0.15, all rows that fall in the bin are possible hits and have to be checked to verify whether they are actually less than 0.15. The process of checking the base data is known as the candidate check. In most cases, the time used by the candidate check is significantly longer than the time needed to work with the bitmap index. Therefore, binned indexes exhibit irregular performance. They can be very fast for some queries, but much slower if the query does not exactly match a bin.
Views: 2992 The Audiopedia
What is Indexing in DBMS in HINDI
 
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Find the notes of DBMS INDEXING AND HASHING in this link - https://viden.io/knowledge/dbms-indexing-and-hashing?utm_campaign=creator_campaign&utm_medium=referral&utm_source=youtube&utm_term=ajaze-khan-1 Best Buy Links (affiliate): SQL The Complete Reference https://amzn.to/2NAfr2G SQL Cookbook (Covers SQL Server, PostgrSQL, Oracle, MySQL, And Db2) https://amzn.to/2MhU6Xl Beginning SQL Queries https://amzn.to/2NzaAPj SQL, PL/SQL the Programming Language of Oracle https://amzn.to/2QjIyWH SQL in easy steps https://amzn.to/2x73t6G T-SQL Fundamentals https://amzn.to/2NywZfC Microsoft SQL Server 2012 Step By Step https://amzn.to/2O8BMBI -----------------------------------
Views: 10680 LearnEveryone
PL/SQL tutorial 49: Declare user define exception using PRAGMA EXCEPTION_INIT in Oracle Database
 
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RebellionRider.com presents PL/SQL Tutorial on How to declare user define exception using PRAGMA EXCEPTION_INIT in Oracle Database by Manish Sharma ------------------------------------------------------------------------ ►►►LINKS◄◄◄ Blog: http://bit.ly/user-define-exception-3 Previous Tutorial ► User-Define Exception using RAISE_APPLICATION_ERROR https://youtu.be/k3xCWONvRxY ------------------------------------------------------------------------- ►Make sure you SUBSCRIBE and be the 1st one to see my videos! ------------------------------------------------------------------------- ►►►Find me on Social Media◄◄◄ Follow What I am up to as it happens on https://twitter.com/rebellionrider http://instagram.com/rebellionrider https://plus.google.com/+Rebellionrider http://in.linkedin.com/in/mannbhardwaj/ ___Facebook Official Page___ https://www.facebook.com/RebellionRider.official/ You can also Email me at for E-mail address please check the About section Please please LIKE and SHARE my videos it makes me happy. Thanks for liking, commenting, sharing and watching more of our videos This is Manish from RebellionRider.com ♥ I LOVE ALL MY VIEWERS AND SUBSCRIBERS
Views: 18960 Manish Sharma