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Database Management Final Part (5): Indexing,B Trees,B+Trees

Name: Database Management Final Part (5): Indexing,B Trees,B+Trees
Rating: 4.7 (221 reviews)

Learn Indexing in Database Management Systems with no prerequisites

Highest Rated

Created byVignesh Sekar

Last updated 2/2023

English

What you'll learn

You will become very familiar with the core concepts of Indexing Topic of Database Management Systems
You will be able to challenge the interviewer on questions related to Indexing Topic of Database Management Systems
You will be able to challenge the interviewer on questions related to B Trees , B+ trees
You will view Computer Science in a different dimension
You will be able to answer all questions of exams like GATE,PGEE,ISRO (after completing all parts of DBMS course
You will be able to get a top grade in your Database Management Systems course in your Bachelor's degree
Understand how B trees and B+ Trees work
Understand how Indexing topic of DBMS works

Course content

15 sections • 60 lectures • 14h 28m total length

Introduction11:04
Explore how relational databases store tables as files, manage blocks on disk, and why a dbms enables random access and efficient data operations beyond a file system.

Blocking Factor, Ordered File Organization vs Unordered File Organization18:20
Compute blocking factor from block size and record size, noting variation by file; compare spanned and unspanned organization.
Example on Spanned vs Unspanned Strategy13:56
Compare spanned and unspanned file organization for a 40,000-record table, evaluating block usage, blocking factor, and the trade-off between space efficiency and CPU block access.

Ordered File Organization vs Unordered File Organization9:04
Organize records within a file as ordered or unordered, shown by sorting by an attribute like student id, and place into disk blocks, affecting search speed.
Advantage of Ordered File Organization : Binary Search18:37
Explore how ordered file organization enables binary search on sorted data for faster results than linear search. Learn binary search steps: middle element, space halving, and ceil or floor decisions.
How Binary Search Works in an Ordered File11:31
Learn how binary search halves the file space to locate a record in an ordered file, reducing disk accesses compared with linear search across 10,000 blocks.
Time Complexity of Binary Search18:41
Compare unordered and ordered file searches, showing linear search on B blocks costs O(B) while binary search cuts block accesses to log base 2 of B, highlighting performance gains.
Advantage of Unordered File Organization13:06
Compare unordered and ordered file organization, showing unordered insertion needing one block and fewer accesses, while ordered search uses log n blocks; deletions use a record marker.

Important : What is Indexing in DBMS30:39
Explore how indexing in dbms reduces disk accesses by using an ordered index with block pointers to locate data records via binary search.
Dense Index vs Sparse Index2:11
Show how a dense index maintains an entry for every data file record, using 30,000 records across 10,000 blocks, versus a sparse index with fewer entries.
Classification of Indexing Techniques7:08
Explore how index levels classify data access, from single level to multi level indexes, and distinguish primary, clustering, and secondary indexes with examples using an employee table.

Primary Index Explained26:19
Primary index uses an ordered data file based on the primary key, creates an index entry for every block (anchor) with a block pointer, enabling search and faster access.
Problem on Primary Index19:30
Explore a primary index on a 30,000-record ordered file with 1,024-byte blocks and unspanned 100-byte records, showing how indexing reduces block accesses.
Disadvantage of Primary Indexing / Ordered File Organization12:58
explain the disadvantages of primary indexing in an ordered file, where inserting a tuple may require accessing data and index blocks due to shifting anchor records.

Clustering Indexing Explained25:35
Explore clustering indexing on a non-key, ordered attribute, with block pointers to first appearances and a sparse index that uses binary search and block accesses to locate values.
How Clustering Indexes are implemented15:38
Clustering indexes use end-of-block pointers to connect blocks only when the last and first tuple share the same value, creating a non-linked structure.

Secondary Key index19:14
Introduce secondary index concepts, distinguishing secondary key index from secondary non-key index with student data examples. Explain that dense, ordered indexes enable fast searches and reveal insertion costs.
Secondary Non Key Index23:31
Explore secondary non-key indexing on non-ordered attributes, using employee name as a secondary index with a bucket per unique value, block and record pointers, and sparse indexing for efficient searches.
Problem on Secondary Index11:16
Analyze a secondary index on an ordered file of 30,000 fixed-length records to show 3,000 data blocks, 442 index blocks, and a search cost of 10 block accesses.

Multilevel Indexing Explained40:50
Explain multilevel indexing, building first and higher level indexes with block pointers, comparing secondary and primary indexes, and showing how multiple levels reduce block accesses in searches.
Time Complexity of Multilevel Indexing18:13
analyze time complexity of multilevel indexing and compare single-level versus multilevel approaches, showing how blocking factor or fan-out of 68 reduces block accesses to log i base 68.
Disadvantages of Static Multilevel Indexes23:14
Analyze the drawbacks of static multi-level indexing, including costly insertions and cascading anchor updates across index levels. Contrast with dynamic B-trees and B+-trees that adapt to updates for faster searches.
Problem on ISAM12:50
Explore how an isam file uses a primary first-level index and three-level indexing. Compute data blocks 2048, index blocks 67, and confirm the unspanned strategy with three index levels.
Problem8:00
Compute a multilevel secondary index on the key field, yielding 256 first-level blocks and 4 second-level blocks for 16,384 records in 1024-byte blocks.

Introduction to B Trees36:39
Understand B-trees as a dynamic multi-level index that uses keys, data pointers, and tree pointers to enable fast searching, balanced height, and efficient data access on disk.
Problem 1 on B Trees7:53
Compute the B-tree order from 9-byte keys, 9-byte data pointers, and 5-byte tree pointers in a 512-byte block, yielding an order of 23 with 22 keys per node.
Problem 2 on B Trees2:03
Compute the B-tree order from disk block constraints, concluding an order of 24 with up to 24 pointers and 23 index entries.
Problem 3 on B Trees7:00
For a b-tree of order 15 with four levels, the maximum index entries equal 14 at the root and 14 per node across the subsequent levels, summed as 14(1+15+15^2+15^3).

How B Trees are constructed by Insertion of Index Entries32:55
Explore how to build a B-tree by inserting index entries, with order 4, handling splits to keep a balanced tree and distinguishing dynamic from static indexing.
Insertion in B Trees with example31:25
Explore insertion in an order-5 B-tree with a detailed example, including leaf inserts, index entries, and node splitting up to the root, illustrating height traversal.
Insertion in B Trees example 211:27
Demonstrates inserting keys into a B-tree of order 5, assuming no duplicates, and handles overflows with node splits that elevate levels through root splits.
Finding Minimum Height of B Trees16:01
Determine the minimum height of a B-tree with N index entries and order P by modeling per-level entries with a geometric progression, yielding H_min = log_P(N+1) − 1.
Finding Maximum Height of B Trees13:00
Analyze the maximum height of a B-tree by enforcing minimum entries per node, proving the height is asymptotically log base P of N.

Requirements

Have a PC with internet connection
You dont need any prerequisite to understand this topic - but having a good understanding of "key", "primary key" will make the learning easier

Description

Anyone here who thinks Indexing topic of Database Management Systems to be difficult ?

Discover the Simplest Method for Mastering this topic of Indexing from Scratch …

So You Can Challenge the Interviewer on this topic with a Crystal Clear Knowledge Base!

This Masterclass on Indexing Makes It Easy for Anyone to Master this topic ... Even If You’re a Computer Science “Beginner”

Whether you want to:

- build the skills you need to get started with computer science

- move to a top notch software company like google by cracking their interview questions on Indexing topic of Database Management System.

- get a top grade in semester exam

- or just learn computer science to be able to understand on how to build better apps.

...this complete Database Management System series is the course you need to do all of this, and more.

Are you aiming to get your computer science degree with high level of expertise in core subjects ? or Are you aiming to get placed in a a top notch company like google, microsoft ? or Are you a college student struggling to understand the basics of computer science ? or Are you a software developer who would want to develop better apps by understanding the theory behind computer science ?

This course is designed to give you the database management skills you need to crack the interview questions on Indexing in top notch companies. By the end of the course you will understandIndexing topic extremely well and be able to crack interview/semester/gate/isro questions

Lots of students with no zero knowledge of computer science have been successful with their college exams or interview by taking my courses

.
Here are some examples of students who found this course to do wonders for their college exams or interviews or software jobs.

"thank you , i finished the operating system course in the college with a good grade 85" by Moamen Medleg

"His way of explaining complex concept is Great. I started to understand little bit that this is base for all programming language. I have around 12 years of IT experience. Hope OS learning should be mandatory to all before starting their career in IT" by Happy.

"Very good explanation of all the learning materials. He is unlike many other instructors who just throws things out to you expecting you to absorb the things that are being thrown at you. He is someone who explains things in a manner that is understandable and absorbable even to O/S beginners with only limited knowledge or background in O/S. Two thumbs up from me! Thank you so much!" by Mike

"I really enjoyed this course. Instructor made it seems like he is standing there and wouldn't leave the screen until the concepts gets into your head. So much engaging and wherever he says, we will see this later. He make sure you will. I totally recommend" by Surbhi Vasudeva

"excellent course i had started with 0 knowledge now i had learned so much best lecturer super planning of schedule" by Harshavardhan Gupta

"I really enjoyed the course and the instructor provided a great overview of the fundamentals of the theory behind operating systems. In case you are confused, the course is theoretical as opposed to a walk through of how to use Windows, Mac, etc. Instead, he provides an overview of the algorithms used to move processes from RAM to the CPU. I look forward to Part 2" by John Simons

"Great, very detailed course. Ideal for non IT-educated students like me" by Michal Burdzy

"Great Teacher. Takes concepts slow and repeats definitions and meanings multiple times so there is no need to pause the video or rewind it to hear a definition. Uses this practice to reinforce the material in your mind and ensure you actually learn it rather than hear it" by Sam Debois

The course series (part 1 to 5) on Database Management Systems is a whopping 46 hours long. Because the course is designed as a one stop shop for Database Management System Concepts. And this 54 hours dedication will change your way of thinking towards computer science.

What textbook should I follow ?

I have used the book by Navathe. It's a great textbook. You can follow it. But I have referred lot of other textbooks like Korth, Sudharshan, etc as well depending on the topic. So its upto you on which textbook you are comfortable with but follow a standard author book. If you complete this course, you will find it much easier to understand these textbooks. But anyway if you complete this course with good detailed notes, you don't need to read any textbook as I am reading them for you and giving the contents in an easy to understand manner.

Why should you take this course?

My Courses has consistently gained best seller since release on Udemy, you would be joining over 9000+ students who are already enrolled in my multiple courses (19000+ enrollments).

There are lot of 5 star reviews left by students. It's rated as the best course to learn database management systems for beginners.

What makes many of my courses as bestseller?

Like you, thousands of others were frustrated and fed up with incomplete Youtube tutorials which assume you already know a bunch of stuff and also bulk textbooks able to send even the most intuitive person to sleep.

Like you, they were tired of low-quality lessons, poorly explained topics and all-round confusing info presented in the wrong way. That’s why so many find success in this complete Database Management Systems series. It’s designed in a simple manner so that anybody with no prior knowledge of computer science will be able to understand.

What if I have questions?

You can ask questions anytime using the Q/A section or through personal messages. I take it very seriously and answer these questions in a detailed manner with simple english words so that anybody can understand it.

Student Quote: “Everything you always wanted to know about OS but were afraid to ask"...And Vignesh Sekar gives the right answers” by Claus Kaliba.

Ready to get started ?

Enrol now using the “Add to Cart” button on the right, and get started on your way to computer science.

See you on the inside (hurry, Database Management System Series is waiting!)

Who this course is for:

Anybody who needs to learn Indexing , B Trees , B+ Trees topics of Database Management Systems from scratch
Anybody who wants to pursue a career in Computer Science
Anybody who has Database Management Systems in the Bachelor's degree
Anybody who is preparing for interview in product based companies
If you are preparing for exams like GATE , PGEE , BITS HD , ISRO ,..etc
If you are a Computer Science Engineer
If you are a software professional

Database Management Final Part (5): Indexing,B Trees,B+Trees

What you'll learn

Explore related topics

Course content

Introduction1 lecture • 11min

Organization of File in the Disk2 lectures • 32min

Organization of Records in a File5 lectures • 1hr 11min

Indexing Technique in Databases3 lectures • 40min

Primary Index3 lectures • 59min

Clustering Index2 lectures • 41min

Secondary Index3 lectures • 54min

Multi Level Indexing5 lectures • 1hr 43min

Dynamic Multilevel Indexing : Introduction to B Trees4 lectures • 54min

Insertion in B trees5 lectures • 1hr 45min

Requirements

Description

Who this course is for: