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PART 5.4 Types of Indexing in DBMS in HINDI different classification of indexing physical secondary
 
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• Counselling Guruji is our latest product & a well-structured program that answers all your queries related to Career/GATE/NET/PSU’s/Private Sector etc. You can register for the program at: https://goo.gl/forms/ZmLB2XwoCIKppDh92 You can check out the brochure at: https://www.google.com/url?q=http://www.knowledgegate.in/guruji/counselling_guruji_brochure.pdf&sa=D&ust=1553069285684000&usg=AFQjCNFaTk4Pnid0XYyZoDTlAtDPUGcxNA • Link for the complete playlist of DBMS is: https://www.youtube.com/playlist?list=PLmXKhU9FNesR1rSES7oLdJaNFgmuj0SYV • Links for the books that we recommend for DBMS are: 1.Database System Concepts (Writer: Avi Silberschatz · Henry F.Korth · S. Sudarshan) (Publisher: McGraw Hill Education) https://amzn.to/2HoR6ta 2.Fundamentals of database systems (Writer:Ramez Elmsari,Shamkant B.Navathe) https://amzn.to/2EYEUh2 3.Database Management Systems (Writer: Raghu Ramkrishnan, JohannesGehrke) https://amzn.to/2EZGYph 4.Introduction to Database Management (Writer: Mark L. Gillenson, Paulraj Ponniah, Alex Kriegel, Boris M. Trukhnov, Allen G. Taylor, and Gavin Powell with Frank Miller.(Publisher: Wiley Pathways) https://amzn.to/2F0e20w • Check out our website http://www.knowledgegate.in/ • 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/ 4) Follow us on Quora https://www.quora.com/profile/Sanchit-Jain-307 • Links for Hindi playlists of other Subjects are: TOC: https://www.youtube.com/playlist?list=PLmXKhU9FNesSdCsn6YQqu9DmXRMsYdZ2T OS: https://www.youtube.com/playlist?list=PLmXKhU9FNesSFvj6gASuWmQd23Ul5omtD Digital Electronics: https://www.youtube.com/playlist?list=PLmXKhU9FNesSfX1PVt4VGm-wbIKfemUWK Discrete Mathematics: Relations:https://www.youtube.com/playlist?list=PLmXKhU9FNesTpQNP_OpXN7WaPwGx7NWsq Graph Theory: https://www.youtube.com/playlist?list=PLmXKhU9FNesS7GpOddHDX3ZCl86_cwcIn Group Theory: https://www.youtube.com/playlist?list=PLmXKhU9FNesQrSgLxm6zx3XxH_M_8n3LA Proposition:https://www.youtube.com/playlist?list=PLmXKhU9FNesQxcibunbD82NTQMBKVUO1S Set Theory: https://www.youtube.com/playlist?list=PLmXKhU9FNesTSqP8hWDncxpCj8a4uzmu7 Data Structure: https://www.youtube.com/playlist?list=PLmXKhU9FNesRRy20Hjr2GuQ7Y6wevfsc5 Computer Networks: https://www.youtube.com/playlist?list=PLmXKhU9FNesSjFbXSZGF8JF_4LVwwofCd Algorithm: https://www.youtube.com/playlist?list=PLmXKhU9FNesQJ3rpOAFE6RTm-2u2diwKn • About this video: This video discusses 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. 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,
Views: 123948 KNOWLEDGE GATE
DBMS Indexing: The Basic Concept
 
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A quick introduction to the concept of indexing in RDBMSs
Views: 176609 Brian Finnegan
PART 5.3 Indexing in dbms in hindi basics of indexing in dbms primary secondary clustered
 
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• Counselling Guruji is our latest product & a well-structured program that answers all your queries related to Career/GATE/NET/PSU’s/Private Sector etc. You can register for the program at: https://goo.gl/forms/ZmLB2XwoCIKppDh92 You can check out the brochure at: https://www.google.com/url?q=http://www.knowledgegate.in/guruji/counselling_guruji_brochure.pdf&sa=D&ust=1553069285684000&usg=AFQjCNFaTk4Pnid0XYyZoDTlAtDPUGcxNA • Link for the complete playlist of DBMS is: https://www.youtube.com/playlist?list=PLmXKhU9FNesR1rSES7oLdJaNFgmuj0SYV • Links for the books that we recommend for DBMS are: 1.Database System Concepts (Writer: Avi Silberschatz · Henry F.Korth · S. Sudarshan) (Publisher: McGraw Hill Education) https://amzn.to/2HoR6ta 2.Fundamentals of database systems (Writer:Ramez Elmsari,Shamkant B.Navathe) https://amzn.to/2EYEUh2 3.Database Management Systems (Writer: Raghu Ramkrishnan, JohannesGehrke) https://amzn.to/2EZGYph 4.Introduction to Database Management (Writer: Mark L. Gillenson, Paulraj Ponniah, Alex Kriegel, Boris M. Trukhnov, Allen G. Taylor, and Gavin Powell with Frank Miller.(Publisher: Wiley Pathways) https://amzn.to/2F0e20w • Check out our website http://www.knowledgegate.in/ • 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/ 4) Follow us on Quora https://www.quora.com/profile/Sanchit-Jain-307 • Links for Hindi playlists of other Subjects are: TOC: https://www.youtube.com/playlist?list=PLmXKhU9FNesSdCsn6YQqu9DmXRMsYdZ2T OS: https://www.youtube.com/playlist?list=PLmXKhU9FNesSFvj6gASuWmQd23Ul5omtD Digital Electronics: https://www.youtube.com/playlist?list=PLmXKhU9FNesSfX1PVt4VGm-wbIKfemUWK Discrete Mathematics: Relations:https://www.youtube.com/playlist?list=PLmXKhU9FNesTpQNP_OpXN7WaPwGx7NWsq Graph Theory: https://www.youtube.com/playlist?list=PLmXKhU9FNesS7GpOddHDX3ZCl86_cwcIn Group Theory: https://www.youtube.com/playlist?list=PLmXKhU9FNesQrSgLxm6zx3XxH_M_8n3LA Proposition:https://www.youtube.com/playlist?list=PLmXKhU9FNesQxcibunbD82NTQMBKVUO1S Set Theory: https://www.youtube.com/playlist?list=PLmXKhU9FNesTSqP8hWDncxpCj8a4uzmu7 Data Structure: https://www.youtube.com/playlist?list=PLmXKhU9FNesRRy20Hjr2GuQ7Y6wevfsc5 Computer Networks: https://www.youtube.com/playlist?list=PLmXKhU9FNesSjFbXSZGF8JF_4LVwwofCd Algorithm: https://www.youtube.com/playlist?list=PLmXKhU9FNesQJ3rpOAFE6RTm-2u2diwKn • About this video: This video discusses 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 is 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. Sometime number of records in the main file is greater than = 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 is less than No. of records in the main file. 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,
Views: 189536 KNOWLEDGE GATE
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: 103143 Caleb Curry
Oracle Hints Tutorial for improving performance
 
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Oracle Hints Tutorial for improving performance APPEND PARALLEL JOIN INDEX NO_INDEX SELECT /*+ FIRST_ROWS(10) */ * FROM emp WHERE deptno = 10; SELECT /*+ ALL_ROWS */ * FROM emp WHERE deptno = 10; SELECT /*+ NO_INDEX(emp emp_dept_idx) */ * FROM emp, dept WHERE emp.deptno = dept.deptno; SELECT /*+ INDEX(e,emp_dept_idx) */ * FROM emp e WHERE e.deptno = 10; -- SELECT /*+ INDEX(scott.emp,emp_dept_idx) */ * FROM scott.emp; SELECT /*+ AND_EQUAL(e,emp_dept_idx) */ * FROM emp e; SELECT /*+ INDEX_JOIN(e,emp_dept_idx) */ * FROM emp e; SELECT /*+ PARALLEL_INDEX(e,emp_dept_idx , 8) */ * FROM emp e; SELECT /*+ LEADING (dept) */ * FROM emp, dept WHERE emp.deptno = dept.deptno; SELECT /*+ PARALLEL(8) CACHE (e) FULL (e) */ * FROM emp e ; SELECT /*+ PARALLEL FULL (e) */ * FROM emp e ; SELECT /*+ PARALLEL USE_MERGE (emp dept) */ * FROM emp, dept WHERE emp.deptno = dept.deptno; -- SORT Merge Join SELECT /*+ PARALLEL USE_HASH (emp dept) */ * FROM emp, dept WHERE emp.deptno = dept.deptno; -- Hash Join SELECT /*+ PARALLEL */ * FROM emp e ; INSERT /*+ APPEND */ INTO mytmp select /*+ CACHE (e) */ *from emp e; commit;
Views: 10132 TechLake
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: 43249 Manish Sharma
Oracle 11g Hints Overview
 
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In this Video tutorial we will discuss about Optimizer hints in Oracle. What is optimizer hint, when & why its needed. Different Category of hints. Description of mostly used hints. Demonstrate how query plan can change with the influence of hint.
Views: 54100 Anindya Das
What is BLOCK RANGE INDEX? What does BLOCK RANGE INDEX mean? BLOCK RANGE INDEX meaning
 
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What is BLOCK RANGE INDEX? What does BLOCK RANGE INDEX mean? BLOCK RANGE INDEX meaning - BLOCK RANGE INDEX definition - BLOCK RANGE 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 Block Range Index or BRIN is a database indexing technique. They are intended to improve performance with extremely large tables. BRIN indexes provide similar benefits to horizontal partitioning or sharding but without needing to explicitly declare partitions. A BRIN is applicable to an index on a table that is large and where the index key value is easily sorted and evaluated with a MinMax function. BRIN were originally proposed by Alvaro Herrera of 2ndQuadrant in 2013 as 'Minmax indexes'. Implementations thus far are tightly coupled to internal implementation and storage techniques for the database tables. This makes them efficient, but limits them to particular vendors. So far PostgreSQL is the only vendor to have announced a live product with this specific feature, in PostgreSQL 9.5. Other vendors have described some similar features, including Oracle, Netezza 'zone maps', Infobright 'data packs', MonetDB and Apache Hive with ORC/Parquet. BRIN operate by "summarising" large blocks of data into a compact form, which can be efficiently tested to exclude many of them from a database query, early on. These tests exclude a large block of data for each comparison. By reducing the data volume so early on, both by representing large blocks as small tuples, and by eliminating many blocks, BRIN substantially reduce the amount of detailed data that must be examined by the database node on a row-by-row basis. Data storage in large databases is layered and chunked, with the table storage arranged into 'blocks'. Each block contains perhaps 1MB in each chunk and they are retrieved by requesting specific blocks from a disk-based storage layer. BRIN are a lightweight in-memory summary layer above this: each tuple in the index summarises one block as to the range of the data contained therein: its minimum and maximum values, and if the block contains any non-null data for the column(s) of interest. Unlike a traditional index which locates the regions of the table containing values of interest, BRIN act as "negative indexes", showing the blocks that are definitely not of interest and thus do not need to be processed further. Some simple benchmarks suggest a five-fold improvement in search performance with an index scan, compared to the unindexed table. Compared to B-trees, they avoid their maintenance overhead. As BRIN are so lightweight, they may be held entirely in memory, thus avoiding disk overhead during the scan. The same may not be true of B-tree: B-tree requires a tree node for every approximately N rows in the table, where N is the capacity of a single node, thus the index size is large. As BRIN only requires a tuple for each block (of many rows), the index becomes sufficiently small to make the difference between disk and memory. For a 'narrow' table the B-tree index volume approaches that of the table itself; the BRIN may be only 5-15% of it. A large database index would typically use B-tree algorithms. BRIN is not always a substitute for B-tree, it is an improvement on sequential scanning of an index, with particular (and potentially large) advantages when the index meets particular conditions for being ordered and for the search target to be a narrow set of these values. In the general case, with random data, B-tree may still be superior. A particular advantage of the BRIN technique, shared with Oracle Exadata's Smart Scanning, is in the use of this type of index with Big Data or data warehousing applications, where it is known that almost all of the table is irrelevant to the range of interest. BRIN allows the table to be queried in such cases by only retrieving blocks that may contain data of interest and excluding those which are clearly outside the range, or contain no data for this column. A regular problem with the processing of large tables is that retrieval requires the use of an index, but maintaining this index slows down the addition of new records. Typical practices have been to group additions together and add them as a single bulk transaction, or to drop the index, add the batch of new records and then recreate the index. Both of these are disruptive to simultaneous read / write operations and may not be possible in some continuously-operating businesses. With BRIN, the slowdown from maintaining the index is much reduced compared to B-tree. Wong reports that B-tree slowed down additions to an unindexed 10GB table by 85%, but a comparable BRIN only had an overhead of 11%. BRIN may be created for extremely large data where B-tree would require horizontal partitioning.....
Views: 292 The Audiopedia
Database index - Primary Index, Secondary Index, Dense Index, Sparse Index
 
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Complete set of Video Lessons and Notes available only at http://www.studyyaar.com/index.php/module/24-file-organization-and-database-index Index, Quality of an Index, Types of Index, Ordered Index, Primary Index- Def., Secondary Index- Def., Dense Index- Def., Sparse Index- Def., MultiLevel Index, Insertion in an Index, Deletion from an Index, Secondary Index http://www.studyyaar.com/index.php/module-video/watch/63-database-indexing
Views: 35748 StudyYaar.com
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: 17479 Well Academy
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
SQL - Multisets, Distinct operator, Set Operators & String Comparison
 
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For Complete Video Series visit http://www.studyyaar.com/index.php/module/14-sql More Learning Resources and Full videos are only available at www.studyyaar.com This video clip is part of module available at http://www.studyyaar.com/index.php/learning-program/2-database-management-system-part-1
Views: 2002 StudyYaar.com
indexing in database example| dbms
 
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DBMS indexing
Views: 27459 Education 4u
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: 3468 The Magic of SQL
(오라클힌트교육,SQL튜닝)오라클힌트를 이용한 쿼리 튜닝, 중첩루프조인유도힌트, oracle hint/ordered/use nl_
 
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Hints for Join Orders(USE_NL) - USE_NL 힌트는 테이블을 조인 하는 경우 중첩 루프 조인(Nested Loop Join)이 일어나도록 하는 힌트 문장이다. 중첩 루프 조인은 중첩반복 이라고도 하는데 하나의 테이블(outer/driving table)에서 추출된 ROW를 가지고 일일이 다른 테이블(inner/probed table)을 반복해서 조회하여 찾아지는 레코드를 최종 데이터로 간주하는 방법 이다. - EMP 테이블과 DEPT 테이블을 조인하는 경우 DEPT 테이블이 건수가 작다면 우선 이 테이블을 외부 루프로 해서 하나씩 읽으면서 이에 대응하는 EMP 테이블의 데이터를 추출 하는 경우가 중첩 루프 조인에 해당 한다. 이때 EMP 테이블의 경우 대부분 조인 칼럼에 인덱스를 이용하는 것이 성능상 좋다. 즉 중첩 루프 조인은 테이블 중 적어도 하나의 조인 컬럼에 대해 인덱스(or Hash Index)가 존재할 때 연관되는 방식으로 이 중첩 루프 조인에서 테이블 중 하나의 테이블 또는 중간 결과 셋을 대상으로 FULL SCAN이 일어나게 된다.  보통 USE_NL 힌트 구문은 ORDERED 힌트 구문과 같이 사용되는데 USE_NL이 취하는 인자는 FROM절에서 두 번째 나오는 테이블(비드라이빙 테이블, inner/probed table)을 명시해 주어야 한다. 인수로 사용되지 않은 첫 번째 테이블이 드라이빙 테이블(outer table)이 된다. Hints for Join Orders(ORDERED)  힌트는 FROM 뒤에 기술되는 테이블의 순서대로 조인이 일어나도록 해주는 구문이며 대부분 단독으로는 사용되지 않고 USE_NL(중첩 루프 조인을 유도), USE_MERGE(머지 소트 조인을 유도), USE_HASH(HASH 조인을 유도)등과 같이 사용된다.  USE_NL/USE_MERGE/USE_HASH등의 인자로 사용되는 테이블은 FROM절에서 두 번째로 나타나는 테이블 이어야 하는데 FROM절에서 처음 나타나는 테이블이 드라이빙 테이블(OUTER/DRIVING TABLE)이 되고 나중에 나타나는 테이블이 PROBED TABLE(INNER TABLE)이 된다. 보통 드라이빙 테이블의 경우 데이터 건수가 적거나 조인 칼럼에 대해 인덱스가 없는 테이블이 주로 사용된다.  중첩 루프 조인(Nested Loop Join)이나 해시조인(Hash Join)의 경우 성능이 FROM절 뒤에 나타나는 테이블의 순서에 영향을 받지만 MERGE 조인은 영향을 받지 않는다. 머지 조인은 메모리에 올려서 정렬 시킨 후 병합하니까 실행 계획은 다르게 나올지 모르지만 성능에는 관계 없다.
Views: 380 이종철
types of indexing in dbms | dbms indexing gate | DBMS Lectures in Hindi #86
 
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Welcome to series of gate lectures by well academy types of indexing in dbms | Classification of index | DBMS Lectures in Hindi #86 GATE Practice Book Purchase Link ( ACE Academy ) https://goo.gl/jESdtD GATE Practice Book Purchase Link ( Made Easy ) https://goo.gl/zUU5Vn DBMS Gate Lectures Full Course FREE Playlist : https://goo.gl/Z7AAyV 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 dbms indexing, dbms indexing gate, dbms indexing in hindi, indexing in dbms in hindi, 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: 9536 Well Academy
PART 5.7 Clustering Index | DBMS HINDI |
 
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• Counselling Guruji is our latest product & a well-structured program that answers all your queries related to Career/GATE/NET/PSU’s/Private Sector etc. You can register for the program at: https://goo.gl/forms/ZmLB2XwoCIKppDh92 You can check out the brochure at: https://www.google.com/url?q=http://www.knowledgegate.in/guruji/counselling_guruji_brochure.pdf&sa=D&ust=1553069285684000&usg=AFQjCNFaTk4Pnid0XYyZoDTlAtDPUGcxNA • Link for the complete playlist of DBMS is: https://www.youtube.com/playlist?list=PLmXKhU9FNesR1rSES7oLdJaNFgmuj0SYV • Links for the books that we recommend for DBMS are: 1.Database System Concepts (Writer: Avi Silberschatz · Henry F.Korth · S. Sudarshan) (Publisher: McGraw Hill Education) https://amzn.to/2HoR6ta 2.Fundamentals of database systems (Writer:Ramez Elmsari,Shamkant B.Navathe) https://amzn.to/2EYEUh2 3.Database Management Systems (Writer: Raghu Ramkrishnan, JohannesGehrke) https://amzn.to/2EZGYph 4.Introduction to Database Management (Writer: Mark L. Gillenson, Paulraj Ponniah, Alex Kriegel, Boris M. Trukhnov, Allen G. Taylor, and Gavin Powell with Frank Miller.(Publisher: Wiley Pathways) https://amzn.to/2F0e20w • Check out our website http://www.knowledgegate.in/ • 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/ 4) Follow us on Quora https://www.quora.com/profile/Sanchit-Jain-307 • Links for Hindi playlists of other Subjects are: TOC: https://www.youtube.com/playlist?list=PLmXKhU9FNesSdCsn6YQqu9DmXRMsYdZ2T OS: https://www.youtube.com/playlist?list=PLmXKhU9FNesSFvj6gASuWmQd23Ul5omtD Digital Electronics: https://www.youtube.com/playlist?list=PLmXKhU9FNesSfX1PVt4VGm-wbIKfemUWK Discrete Mathematics: Relations:https://www.youtube.com/playlist?list=PLmXKhU9FNesTpQNP_OpXN7WaPwGx7NWsq Graph Theory: https://www.youtube.com/playlist?list=PLmXKhU9FNesS7GpOddHDX3ZCl86_cwcIn Group Theory: https://www.youtube.com/playlist?list=PLmXKhU9FNesQrSgLxm6zx3XxH_M_8n3LA Proposition:https://www.youtube.com/playlist?list=PLmXKhU9FNesQxcibunbD82NTQMBKVUO1S Set Theory: https://www.youtube.com/playlist?list=PLmXKhU9FNesTSqP8hWDncxpCj8a4uzmu7 Data Structure: https://www.youtube.com/playlist?list=PLmXKhU9FNesRRy20Hjr2GuQ7Y6wevfsc5 Computer Networks: https://www.youtube.com/playlist?list=PLmXKhU9FNesSjFbXSZGF8JF_4LVwwofCd Algorithm: https://www.youtube.com/playlist?list=PLmXKhU9FNesQJ3rpOAFE6RTm-2u2diwKn • About this video: 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 =log2n +1, where n is no of block acquired by Index file. 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,
Views: 88009 KNOWLEDGE GATE
Unordered/Sorted/Hashed Files, Indexes
 
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Database Management Systems 5. Unordered/Sorted/Hashed Files, Indexes ADUni
Views: 3780 Chao Xu
Lec-66: Why Indexing is used | Indexing Beginning | DBMS
 
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This video explains Why we need indexing from very basics. Concept of indexing is very important for GATE UGC NET and specially Interviews.
Views: 16781 Gate Smashers
Sorting in Descending Order in SQL Using Order By Desc Clause - SQL LESSON 29
 
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Sorting in Descending Order in SQL Using Order By Desc Clause - SQL LESSON 29
Views: 17507 HandsonERP
cluster indexing in database| indexing | DBMS
 
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DBMS cluster indexing non key or candidate key and ordered data
Views: 12004 Education 4u
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: 114303 Sam Dhanasekaran
Shopping Cart with PHP and MySQL - Updating Quantity and Saving Orders
 
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In this video, I will demo how to Update Quantity and Saving Orders in Shopping Cart with PHP and MySQL To download all sources code for this demo please pay for me $5 at my PayPal Account: [email protected] ====================================================== You can see and download source code demo from my Apps at https://play.google.com/store/apps/developer?id=PMK+Lab ====================================================== You also can buy my apps in http://codecanyon.net/user/octopuscodes/portfolio ====================================================== You also can read my blog in http://learningprogramming.net/ ====================================================== You also can learn Microsoft Office in https://www.youtube.com/channel/UCFrMOR6KF4cpa92OOPRyOng ====================================================== TODAY IS A GREAT DAY TO LEARN SOMETHING NEW! ====================================================== Finding Software videos help you watch reviews for Open Sources:Joomla, wordpress, drupal, magento, html template, free admin template, free bootstrap admin templates, SilverStripe, Cake PHP, CodeIgniter, Concrete5, Modx, ExpressionEngine, Alfresco,TYPOlight, laravel, magento, angularjs, node.js, html, css, javascript, jquery, java, .net, wamp server, xampp, php, mysql, sql server, oracle, open sources, android, hibernate, jpa, html5, jquery
Views: 51604 Learning Programming
System Design - Indexes | Indexing | Index benefits
 
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Indexes: - Very useful in database to improve the speed of data retrieval. - Index makes trade-off of increased storage overhead, slower writes for the benefit of faster read. - Index is a data structure of table of contents that points us to the location where actual data lives, so when we create an index on a column of a table, we store that column & a pointer to the whole row in the index. - Indexing is mainly done in two ways: - Ordered Indexing: Column is sorted as per ascending order - Hash Indexing: Indexing is as per Hash function & Hash table In this video, we're going to reveal Indexes used in System Design: - What is indexes - What is indexing - How to create indexes - Types of indexing ★☆★ SUBSCRIBE TO ME ON YOUTUBE: ★☆★ https://www.youtube.com/codingsimplified?sub_confirmation=1 what is indexes in mongodb, database indexes how to create indexes type of indexing indexing techniques, indexing, what is indexing CHECK OUT CODING SIMPLIFIED https://www.youtube.com/codingsimplified I started my YouTube channel, Coding Simplified, during Dec of 2015. Since then, I've published over 200+ videos. My account is Partner Verified and I get my earnings direct deposited into my account every month. ★☆★ VIEW THE BLOG POST: ★☆★ http://codingsimplified.com ★☆★ SEND EMAIL At: ★☆★ Email: thecodin[email protected]
Views: 570 Coding Simplified
DBMS - Index and Index Structure
 
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DBMS - Index and Index Structure Watch more Videos at https://www.tutorialspoint.com/videotutorials/index.htm Lecture By: Mr. Arnab Chakraborty, Tutorials Point India Private Limited
A Story of Index Only Scans: Finding all the Red Sweets Part 3
 
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So far in the red candy series, Chris has compared using an index to a full table scan to access sweets from his table. In this video he asks a different question: What if you just want to count how many sweets are red? In this case the index holds all the information Oracle needs to answer the query. He shows how the optimizer is able to process this via an index only scan. Chris goes on to investigate index only scans further. He discusses how theses can provide better performance than queries accessing the table itself. He finishes by looking at the conditions necessary to enable these. ============================ 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: 1844 The Magic of SQL
Hierarchical Queries: Databases for Developers #16
 
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Often data contains a parent-child relationship between rows in the same table. For example, company org charts and family trees. You can use the power of SQL to traverse these hierarchical relationships. There are two ways to do this in Oracle Database: - Connect By - Recursive With Watch this video to learn about data trees and find out how these work! Further reading: Hierarchical queries in the docs: https://docs.oracle.com/en/database/oracle/oracle-database/18/sqlrf/Hierarchical-Queries.html#GUID-0118DF1D-B9A9-41EB-8556-C6E7D6A5A84E Recursive subquery factoring in 11.2: https://oracle-base.com/articles/11g/recursive-subquery-factoring-11gr2 Take the course! https://devgym.oracle.com/pls/apex/dg/class/databases-for-developers-next-level.html Need help with SQL? Ask us over on AskTOM: https://asktom.oracle.com Twitter: https://twitter.com/ChrisRSaxon Daily SQL Twitter tips: https://twitter.com/SQLDaily All Things SQL blog: https://blogs.oracle.com/sql/ ============================ The Magic of SQL with Chris Saxon Copyright © 2015 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
Views: 5172 The Magic of SQL
PART 5.5 Primary Indexing | DBMS HINDI |
 
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• Counselling Guruji is our latest product & a well-structured program that answers all your queries related to Career/GATE/NET/PSU’s/Private Sector etc. You can register for the program at: https://goo.gl/forms/ZmLB2XwoCIKppDh92 You can check out the brochure at: https://www.google.com/url?q=http://www.knowledgegate.in/guruji/counselling_guruji_brochure.pdf&sa=D&ust=1553069285684000&usg=AFQjCNFaTk4Pnid0XYyZoDTlAtDPUGcxNA • Link for the complete playlist of DBMS is: https://www.youtube.com/playlist?list=PLmXKhU9FNesR1rSES7oLdJaNFgmuj0SYV • Links for the books that we recommend for DBMS are: 1.Database System Concepts (Writer: Avi Silberschatz · Henry F.Korth · S. Sudarshan) (Publisher: McGraw Hill Education) https://amzn.to/2HoR6ta 2.Fundamentals of database systems (Writer:Ramez Elmsari,Shamkant B.Navathe) https://amzn.to/2EYEUh2 3.Database Management Systems (Writer: Raghu Ramkrishnan, JohannesGehrke) https://amzn.to/2EZGYph 4.Introduction to Database Management (Writer: Mark L. Gillenson, Paulraj Ponniah, Alex Kriegel, Boris M. Trukhnov, Allen G. Taylor, and Gavin Powell with Frank Miller.(Publisher: Wiley Pathways) https://amzn.to/2F0e20w • Check out our website http://www.knowledgegate.in/ • 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/ 4) Follow us on Quora https://www.quora.com/profile/Sanchit-Jain-307 • Links for Hindi playlists of other Subjects are: TOC: https://www.youtube.com/playlist?list=PLmXKhU9FNesSdCsn6YQqu9DmXRMsYdZ2T OS: https://www.youtube.com/playlist?list=PLmXKhU9FNesSFvj6gASuWmQd23Ul5omtD Digital Electronics: https://www.youtube.com/playlist?list=PLmXKhU9FNesSfX1PVt4VGm-wbIKfemUWK Discrete Mathematics: Relations:https://www.youtube.com/playlist?list=PLmXKhU9FNesTpQNP_OpXN7WaPwGx7NWsq Graph Theory: https://www.youtube.com/playlist?list=PLmXKhU9FNesS7GpOddHDX3ZCl86_cwcIn Group Theory: https://www.youtube.com/playlist?list=PLmXKhU9FNesQrSgLxm6zx3XxH_M_8n3LA Proposition:https://www.youtube.com/playlist?list=PLmXKhU9FNesQxcibunbD82NTQMBKVUO1S Set Theory: https://www.youtube.com/playlist?list=PLmXKhU9FNesTSqP8hWDncxpCj8a4uzmu7 Data Structure: https://www.youtube.com/playlist?list=PLmXKhU9FNesRRy20Hjr2GuQ7Y6wevfsc5 Computer Networks: https://www.youtube.com/playlist?list=PLmXKhU9FNesSjFbXSZGF8JF_4LVwwofCd Algorithm: https://www.youtube.com/playlist?list=PLmXKhU9FNesQJ3rpOAFE6RTm-2u2diwKn • About this video: This video contains the detail discussion of primary indexing in dbms with example. Detail explanation of Primary Indexing, Example of primary indexing, How Primary indexing works in dbms, Properties of Primary Indexing in dbms, Properties of single level indexing, Questions of Primary Indexing, Advantages of Primary Indexing,Numericals on primary Indexing for gate exam, How primary indexing works on file is explained. PRIMARY INDEXING- i)Main file is always sorted according to primary key. ii)Indexing is done on Primary Key, therefor called as primary indexing iii)Index file have two columns, first primary key and second anchor pointer(base address of block) iv)It is an example of Sparse Indexing. v)Here first record(anchor record) of every block gets an entry in the index file vi) No. of entries in the index file = No of blocks acquired by the main file. vii) No. of access required= log2n +1, where n=no. of blocks acquired by the index file. 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,numerical of primary indexing in dbms, solved question of primary 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,
Views: 95974 KNOWLEDGE GATE
Oracle tutorial : Collection in Oracle PL SQL -  Varray
 
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Oracle tutorial : Collection in Oracle PL SQL Varray . oracle tutorial for beginners 1)Varray provide feature of data structure in Oracle. 2)It can store a fixed-size sequential collection of elements of the same type. 3)This is used to store the ordered collection of data. 4)According to its structure the varray consist of contiguous memory locations. 5)The address is start from lowest to highest. 6)It start to store element from lowest address to highest address. 7)The starting index for varray is 1. 8)This is an one-dimensional array. Syntax : CREATE OR REPLACE TYPE varray_type_name IS VARRAY(n) of element_type DECLARE CURSOR cur_employee is SELECT NAME FROM employee; type emp_list is varray (10) of employee.name%type; empname_list emp_list := emp_list(); mycount integer :=0; BEGIN FOR i IN cur_employee LOOP mycount := mycount + 1; empname_list.extend; empname_list(mycount) := i.name; dbms_output.put_line('Employee Nane -'||empname_list(mycount)); END LOOP; END; / https://techquerypond.com , https://techquerypond.wordpress.com https://twitter.com/techquerypond
Views: 1525 Tech Query Pond
SQL Partition By Explained
 
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Using Oracle's SQL, I'll explain how to use Partition By. This will be similar in other SQL engines that have the Partition By keyword.
Views: 35105 Pretty Printed
Intelligence Document Search using Semantic indexing
 
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This is demo of an intelligence resume search we built using Latent Semantic Indexing (LSI) to build a semantically ordered indexes of 100 resumes. From this index we can query resumes by keyword search or by giving a reference resume to match. The top 5 resumes that has the highest similarity scores based will be returned.
Views: 62 Optisol Data Labs
Top-N Queries Against an Oracle Database
 
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A demonstration of how to perform Top-N queries against an Oracle Database, including the new row limiting clause in Oracle Database 12c. For more information see: https://oracle-base.com/articles/misc/top-n-queries https://oracle-base.com/articles/12c/row-limiting-clause-for-top-n-queries-12cr1 Website: https://oracle-base.com Blog: https://oracle-base.com/blog Twitter: https://twitter.com/oraclebase Cameo by Debra Lilley Blog: http://debrasoracle.blogspot.co.uk Twitter: https://twitter.com/debralilley Cameo appearances are for fun, not an endorsement of the content of this video.
Views: 8537 ORACLE-BASE.com
Row Number function in SQL Server
 
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sql server row_number example sql server row number by partition sql server row_number over partition by order by In this video we will discuss Row_Number function in SQL Server. This is continuation to Part 108. Please watch Part 108 from SQL Server tutorial before proceeding. Row_Number function Introduced in SQL Server 2005 Returns the sequential number of a row starting at 1 ORDER BY clause is required PARTITION BY clause is optional When the data is partitioned, row number is reset to 1 when the partition changes Syntax : ROW_NUMBER() OVER (ORDER BY Col1, Col2) Row_Number function without PARTITION BY : In this example, data is not partitioned, so ROW_NUMBER will provide a consecutive numbering for all the rows in the table based on the order of rows imposed by the ORDER BY clause. SELECT Name, Gender, Salary, ROW_NUMBER() OVER (ORDER BY Gender) AS RowNumber FROM Employees Please note : If ORDER BY clause is not specified you will get the following error The function 'ROW_NUMBER' must have an OVER clause with ORDER BY Row_Number function with PARTITION BY : In this example, data is partitioned by Gender, so ROW_NUMBER will provide a consecutive numbering only for the rows with in a parttion. When the partition changes the row number is reset to 1. SELECT Name, Gender, Salary, ROW_NUMBER() OVER (PARTITION BY Gender ORDER BY Gender) AS RowNumber FROM Employees Use case for Row_Number function : Deleting all duplicate rows except one from a sql server table. Discussed in detail in Part 4 of SQL Server Interview Questions and Answers video series. Text version of the video http://csharp-video-tutorials.blogspot.com/2015/09/rownumber-function-in-sql-server.html Slides http://csharp-video-tutorials.blogspot.com/2015/09/rownumber-function-in-sql-server_30.html All SQL Server Text Articles http://csharp-video-tutorials.blogspot.com/p/free-sql-server-video-tutorials-for.html All SQL Server Slides http://csharp-video-tutorials.blogspot.com/p/sql-server.html All Dot Net and SQL Server Tutorials in English https://www.youtube.com/user/kudvenkat/playlists?view=1&sort=dd All Dot Net and SQL Server Tutorials in Arabic https://www.youtube.com/c/KudvenkatArabic/playlists
Views: 89995 kudvenkat
Oracle interview question, Difference between Rank and Dense Rank
 
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Oracle interview question Difference between Rank and Dense Rank Both RANK() and DENSK_RANK() function gives the ranking within the ordered partition of data, However if same rank is assigned to more than one record, then the next rank(s) will be skipped by RANK() function, whereas, the ranks are consecutive for DENSE_RANK. No ranks will be skipped in case of DENSE_RANK even if more than one row are assigned with same rank. List of all the SQL and PLSQL interview questions https://easy-learning-tech.blogspot.com/p/oracle-sql-plsql-interview-questions.html
Views: 1049 Siva Academy
오라클 힌트 강좌#4, HASH조인의 이해와 ORDERED, USE_HASH힌트를 이용한 해시조인유도와 조인시 드라이빙 테이블의 선정을 위한 오라클 힌트 강좌
 
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오라클 힌트 강좌#4, HASH조인의 이해와 ORDERED, USE_HASH힌트를 이용한 해시조인유도와 조인시 드라이빙 테이블의 선정을 위한 오라클 힌트 강좌 해시조인 이란? 해시조인을 위한 USE_HASH 힌트의 이해 ORDERED, LEADING 힌트를 통한 해시 조인시 드라이빙 테이블(Build Input)의 선정
Views: 468 이종철
DBMS - Ordering Tuples in SQL
 
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DBMS - Ordering Tuples in SQL Watch more Videos at https://www.tutorialspoint.com/videotutorials/index.htm Lecture By: Mr. Arnab Chakraborty, Tutorials Point India Private Limited
Database Lesson #7 of 8 - Database Indexes
 
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Dr. Soper gives a lecture on database indexes. Topics covered include index concepts, linear vs. binary search strategies, estimating index storage space requirements, B-tree indexes, bitmap indexes, hash indexes, and clustered vs. non-clustered indexes.
Views: 99328 Dr. Daniel Soper
B+ Tree Index File | B Tree
 
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B+ Tree Index File | B Tree DBMS Interview Questions and Answers: https://www.wikitechy.com/interview-questions/dbms/ Contents: 1. B+ Tree Index Files B+ Tree Insertion B+ Tree Deletion 2. B Tree Index Files For More Interview Questions and Answers visit https://www.wikitechy.com/interview-questions-and-answers HR Interview Questions and Answers visit https://www.wikitechy.com/hr-interview-questions/ 800+ Resumes Samples for Freshers and Experienced visit https://www.wikitechy.com/resume/ Programming tutorials visit https://www.wikitechy.com/online-tutorials Free Final Year Projects visit https://www.wikitechy.com/projects Tricks and Tips visit https://www.wikitechy.com/technology/ Ask Questions at https://forums.wikitechy.com/ Follow us on following Social Networks http://Facebook.com/wikitechy catch us on Facebook http://instagram.com/wikitechycom catch us on Instagram http://Twitter.com/wikitechycom follow us on Twitter https://plus.google.com/+Wikitechy - Catch us on Google Plus All content used is copyright of Wikitechy Use or commercial display or editing of the content without proper authorization is not allowed. #dbms #db #sql #database
Views: 92 KaaShiv Venkat
Oracle IoT Fleet Monitoring Overview by Srini Rajagopal (Oracle)
 
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Presentation by Srini Rajagopal during the OTM User Conference Europe in Amsterdam on 23 March 2018. In today’s world of intelligent and connected devices, people have an expectation of being able to track things in real-time. Whether you want to know the location of your Uber or Lyft driver, the pizza you just ordered, or simply make sure your kids are where they are supposed to be, all of this information is available at your fingertips and usually within seconds. Why should freight be any different? Oracle IoT Fleet Monitoring Cloud and Oracle Transportation Management Cloud make real-time shipment tracking a reality. Learn how this preconfigured solution eliminates the need for phone calls, emails, and other manual tasks, and pushes real-time shipment tracking information to you and your customers, saving you time, money, and improving customer service. Srini Rajagopal is Senior Director, Logistics Product Strategy at Oracle. He has responsibility for the team that leads the strategy for Oracle Transportation Management and Global Trade Management. Srini was part of the G-Log team and came to Oracle in 2005 as part of the G-Log acquisition. Presentation slides: https://otmsig.communities.oaug.org/index.php/calendar/icalrepeat.detail/2018/03/21/24/-/2018-otm-user-conference-europe#agenda More info: http://www.otmsig.com
Views: 865 OTMSIGchannel
SQL Server Columnstore Index Performance Demonstration
 
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This video presents a demonstration of the level of query performance that can be achieved for data warehouses and data marts in SQL Server Denali with the new columnstore index and enhanced query execution capability. Performance in this demonstration when using a columnstore index improves on the order of a stunning 50 times for a single query. This is for the same data on the same hardware, compared to the previous release of SQL Server when running the query over a fact table stored in a PAGE-compressed clustered B-tree index ordered by date. The bottom line is that users will get more business value out of their data and make better decisions with columnstore indexes in SQL Server because they can explore data much more interactively.
Views: 534 MicrosoftBI
Select statement in sql server - Part 10
 
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In this video we will learn 1. Select specific or all columns 2. Distinct rows 3. Filtering with where clause. 4. Wild Cards in SQL Server 5. Joining multiple conditions using AND and OR operators 6. Sorting rows using order by 7. Selecting top n or top n percentage of rows Text version of the video http://csharp-video-tutorials.blogspot.com/2012/08/select-statement-part-10.html Slides http://csharp-video-tutorials.blogspot.com/2013/08/part-10-all-about-select.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: 356046 kudvenkat
Finfolk Fabric Tail Unboxing
 
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Hey, everybody. Thanks for watching my Finfolk Fabric Tail Unboxing. I hope to have a first swim video up within a month. I will also have a post with some more pictures of the tail up on Mernetwork later today that will be linked under this paragraph. https://mernetwork.com/index/showthread.php?4903-Finfolk-Productions-anyone-ordered-a-tail-from-them-I-just-did!&p=300784#post300784 Q & A Who made this tail? Finfolk Productions Which tail is it specifically? The Neverland Fabric Tail, size Large How much was it? Before shipping, the tail was $335 How do I get one? You can check Finfolk's website, but they are most likely sold out. I would follow them on social media to see when they have a sale coming up, they only release them at certain times. If you want to make extra sure that you have a good shot at getting one, you can join the pod squad facebook group and get into the sales earlier. But this isn't required (I got this tail without joining the pod squad) What monofin will you use? While I said in the video that I was going to probably get a Finis Foil, I actually ended up springing for the Finis Shooter due to wanting a bigger, stiffer blade. How long have you been mermaiding? Since 2014 How do I get into mermaiding? I would check out Mernetwork. It is a mer-folk forum with pretty much all the information you could want. Do you think you would ever do a mermaid youtube series? I am currently writing one that could potentially get made at some point. Isn't your address on that other box in the background? It's scratched out on that one.
Views: 541 SheNeverMisses
SQL Tutorial - 06 - Select - Where, Limit, Distinct, Order by
 
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This SQL tutorial lives at: http://www.pvtuts.com/sql/sql-select The video covers the SQL select statement and the where modifier.
Views: 23526 ProgrammingVideos
Oracle || PL/SQL Stored  Procedures || Conditional Statements Part - 2  by dinesh
 
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