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What is a HashTable Data Structure - Introduction to Hash Tables , Part 0
 
07:37
This tutorial is an introduction to hash tables. A hash table is a data structure that is used to implement an associative array. This video explains some of the basic concepts regarding hash tables, and also discusses one method (chaining) that can be used to avoid collisions. Wan't to learn C++? I highly recommend this book http://amzn.to/1PftaSt Donate http://bit.ly/17vCDFx STILL NEED MORE HELP? Connect one-on-one with a Programming Tutor. Click the link below: https://trk.justanswer.com/aff_c?offer_id=2&aff_id=8012&url_id=238 :)
Views: 786747 Paul Programming
Ways of generating EXECUTION PLAN in Oracle Database
 
12:15
Learn how to generate execution plan in oracle database in many ways
Views: 3610 OrSkl Academy
Database Design 39 - Indexes (Clustered, Nonclustered, Composite Index)
 
13:28
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: 98378 Caleb Curry
Dominique Unruh - Non-interactive zero-knowledge proofs in the quantum random oracle model
 
22:35
Contributed Talk 9 by Dominique Unruh at 5th International Conference on Quantum Cryptography (QCrypt 2015) in Hitotsubashi Hall, Tokyo, September 29th, 2015. Download the slides at: http://2015.qcrypt.net/scientific-program/
Views: 423 QCrypt 2015
21. Cryptography: Hash Functions
 
01:22:01
MIT 6.046J Design and Analysis of Algorithms, Spring 2015 View the complete course: http://ocw.mit.edu/6-046JS15 Instructor: Srinivas Devadas In this lecture, Professor Devadas covers the basics of cryptography, including desirable properties of cryptographic functions, and their applications to security. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 72631 MIT OpenCourseWare
Start Oracle Enterprise Manager
 
08:18
In this video i'm going to show you how to start and stop Oracle Enterprise Manager and how to use for creating a table step by step.
Views: 17503 OCP Technology
Real-World Performance - 11 - Aggregate
 
08:49
Check out the entire series on the Oracle Learning Library at http://www.oracle.com/goto/oll/rwp In this video, listen and watch Andrew Holdsworth, Vice President of Oracle Database Real-World Performance at Oracle Corporation, as he demonstrates how aggregation of data affects performance. Copyright © 2014 Oracle and/or its affiliates. Oracle® is a registered trademark of Oracle and/or its affiliates. All rights reserved. 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 of merchantability, fitness for a particular purpose, and non-infringement.
SQL Joins, nested loops and all that in less than 6 minutes
 
05:52
CAPTIONS AVAILABLE - Full transcript (with some screenshots) available for a small fee at http://stores.lulu.com/konagora/. A very brief description of how a database performs a join, based on material from a 2-day seminar.
Views: 77343 roughsealtd
Oracle 12c new feature Identity column
 
09:48
Oracle 12c new feature Identity column oracle identity column identity columns in oracle 12c
Views: 232 Siva Academy
Scalable blockchains as data layers | Vitalik Buterin
 
45:51
Slides: https://docs.google.com/presentation/d/1EVjrZhoxw-ikzelFGGv7czxuJsIIWfl5I-CPIlnjsME ==== 加入 Meetup 以得知下次聚會時間地點: http://www.meetup.com/Taipei-Ethereum-Meetup/ slack 討論:https://ethertw.slack.com 。請先從網站取得邀請信: http://bit.ly­/252hNY0 通關密語:decentralized 臉書社團: https://www.facebook.com/groups/443751072484739 歷次講座投影片、程式碼整理: https://github.com/EtherTW/Taipei-Ethereum-Wiki/wiki
OAuth Codes And Tokens
 
03:51
Learn about the different codes and tokens in OAuth, such as Authorization Code, Refresh Token, Access Token and JWT Token. This videos forms part of the Oracle Cloud Primer Series. For more details visit the Cloud Primer Playlist at: http://bit.ly/cloud_primers ================================= To improve the video quality, click the gear icon and set the Quality to 1080p/720p HD. For more information, see http://www.oracle.com/goto/oll Copyright © 2017 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
Random Oracle - Applied Cryptography
 
00:44
This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
Views: 3430 Udacity
Static and Dynamic Hash Indexing
 
39:18
Database Management Systems 7. Static and Dynamic Hash Indexing ADUni
Views: 46488 Chao Xu
Cryptographic Hash Function Solution - Applied Cryptography
 
02:23
This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
Views: 1537 Udacity
Scaling Databases - Web Development
 
06:53
This video is part of an online course, Web Development. Check out the course here: https://www.udacity.com/course/cs253.
Views: 50668 Udacity
Real-World Performance - 15 - Index Contention
 
19:46
Check out the entire series on the Oracle Learning Library at http://www.oracle.com/goto/oll/rwp In this video, listen and watch Andrew Holdsworth, Vice President of Oracle Database Real-World Performance at Oracle Corporation, as he explains how index contention affects performance. Copyright © 2014 Oracle and/or its affiliates. Oracle® is a registered trademark of Oracle and/or its affiliates. All rights reserved. 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 of merchantability, fitness for a particular purpose, and non-infringement.
How Oracle Argus Safety Migrations Work
 
01:00:08
Learn how to migrate to Oracle's Argus Safety. -- Is your organization considering migrating to Argus Safety, Oracle's comprehensive safety and pharmacovigilance system? Then you probably already know that moving and reformatting legacy adverse event cases can be a major bottleneck. BioPharm, with our partner, Valiance, can quickly automate and streamline many aspects of the migration and implementation process without resorting to custom scripts, existing APIs, and time-consuming manual tasks. From the assessment and strategy to the complete migration and verification of adverse event cases from your source system (e.g., AERS, ARISg, Excel, Trace, Custom, etc.), leveraging our tried-and-true methodologies and technologies helps you accelerate the entire process with confidence. Please join BioPharm's Dr. Rodney Lemery and Valiance's Richard Wells for a free one-hour webinar that will explore: -- The types of risks and challenges associated with safety data system migrations, including those related to Japan and other countries -- How to successfully approach a safety and pharmacovigilance system migration and implementation project -- The benefits of pre-configured migration software and automated 100% migration testing -- Examples of past migration and implementation projects -- Your own migration questions and challenges To view this webinar in its entirety, please visit: https://cc.readytalk.com/r/c281688i2iki&eom Twitter: http://www.twitter.com/BioPharmSystems Facebook: http://www.facebook.com/BioPharmSystems LinkedIn: http://www.linkedin.com/companies/biopharm-systems-inc Google+: https://plus.google.com/+BioPharm
Views: 1909 BioPharmSystems
Oracle Database Tutorial 65: How to create temporary tablespace in oracle database
 
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Learn How to create big file and small file temporary tablespace in oracle database by Manish Sharma RebellionRider Follow Me on Twitter @RebellionRider and Instagram "RebellionRider" ------------------------------------------------------------------------ ►►►LINKS◄◄◄ Blog : Previous Tutorial ► Permanent Tablespace https://youtu.be/vkwKZIssvfc ------------------------------------------------------------------------- ►►►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: 15460 Manish Sharma
How to Install Oracle! !! Database Training
 
01:50
For Complete Database Training Details Visit: http://www.qaonlinetraining.com http://infotek-solutions.com/ Delivery Method: Instructor led classroom and Online Training supported by world class Learning management system which automate all flow of lectures, videos, assignments, forums, quizzes and interview process. Class Schedule: Week-ends and Weekdays Contact Us: 571-437-0652, Mail Us: [email protected] Training Locations at : Ashburn / Fairfax / Maryland Office Address: 12801 Worldgate Dr #500, Herndon, VA 20170 Overview of Oracle DBA Training Oracle as a flexible, complex & robust RDBMS The evolution of hardware and the relation to Oracle Different DBA job roles (VP of DBA, developer DBA, production DBA, database babysitter) The changing job role of the Oracle DBA Environment management (network, CPU, disk and RAM) Instance management (managing SGA regions) Oracle table and index management Instance Architecture Instance vs. database Components of an instance Creating the OFA file structure ($DBA, bdump, udump, pfile) Oracle Instance Internals SGA vs. PGA Background processes Interfaces with server and disk I/O subsystem Using SQL*Plus for DBA management Connecting and executing SQL Using the “as sysdba” syntax Overview of SQL*Plus DBA commands (startup, etc.) Control file, UNDO and REDO management Explaining the use of control files Listing the Contents of the control File File locations for control Files Obtaining Control File Information Listing control file contents Displaying and Creating Undo segments Altering Undo Segments Determining the Number and Size of Undo segments Understanding flashback technology Troubleshooting Undo – snapshot too old Redo log concepts for recovery Online redo log (log_buffer) online redo logs and archived redo logs Oracle ARCH and LGWR background processes Redo log dictionary queries Redo log switch frequency and performance Multiplexing the Online Redo Log Files Archiving the Oracle Redo Logs Recovery using the redo log files User and privilege management The three security methods (VPD, Grant security/role-based security, grant execute) Creating New Database Users Using pre-spawned Oracle connections Auditing User activity Identifying System and Object Privileges Granting and Revoking Privileges Creating and Modifying Roles Displaying user security Information from the Data Dictionary Overview of instance management Parameter files (init.ora, listener.ora, tnsnames.ora) Rules for sizing SGA components Automated Oracle memory management (AMM) Initialization file management Creating the init.ora file Using spfile Displaying init.ora values with v$parameter Oracle*Net configuration Creating the listener.ora file Creating the tnsnames.ora file Data buffer configuration & sizing Inside the Oracle data buffers Using the KEEP pool Monitoring buffer effectiveness Using multiple blocksizes (multiple buffer pools) Shared pool and PGA configuration & Sizing Shared pool concepts and components Understanding the library cache Relieving shared pool contention Overview of PGA for sorting and hash joins Using sort_area_size, hash_area_size and pga_aggregate_target Troubleshooting network connectivity Verifying network connectivity with ping and tnsping Testing database links Oracle tables, views and materialized views Types of Oracle tables (regular, IOT, sorted hash clusters, nested tables) Oracle Views Oracle materialized views Oracle indexes Types of Oracle indexes (b-tree, bitmap, bitmap join index) Creating B*-Tree, bitmap and function-based Indexes Function-based indexes Finding indexing opportunities Index maintenance Oracle constraints Costs & benefits of constraints Types of Oracle indexes constraints (check, not null, unique, PK, FK) Cascading constraints Schema, File & tablespace management Describing the relationship between data files, tablespaces and table Understanding Oracle segments Creating Tablespaces – using the autoextend option Changing the Size of Tablespaces – alter database datafile command Defining a TEMP tablespace Changing the default storage Settings for a tablespace Review of the storage parameters in DBA views (ASM, ASSM, pctfree, pctused and freelists). Monitoring Chained rows (fetch continued rows) Monitoring Insert and Update performance (pctused, APPEND) Database Maintenance Reason for reorgs – chained rows, imbalanced freelists Reorganizing Tables using Export and Import Using CTAS to reorganize data Index rebuilding Backup & Recovery overview (hot & cold Backups, RMAN, block change tracking) Oracle DBA Utilities Data pump (Imp and exp utilities) SQL*Loader LogMiner Flashback DataGuard Oracle DBA utilities – Oracle dbms packages (dbms_redefinition)
Security of Encryption Schemes in Weakened Random Oracle Models.
 
21:54
Talk at pkc 2010. Authors: Akinori Kawachi, Akira Numayama, Keisuke Tanaka, Keita Xagawa. See http://www.iacr.org/cryptodb/data/paper.php?pubkey=23418
Views: 247 TheIACR
Oracle Architecture in less than 10 minutes
 
09:46
CAPTIONS AVAILABLE - I assume that it's the "I like!" votes that keep this video at or near the top when you search on "oracle". Thank you to all. S. Faroult View on www.konagora.com where Youtube is blocked. Full transcript (with some screenshots) available for a small fee at http://stores.lulu.com/konagora/. A pretty reckless description of what happens when you start Oracle and when you execute a statement. If you're a developer, it could influence how you code. If you're a junior DBA, or would be junior DBA, I hope it will help you make sense of some parts of the "Concepts" manual.
Views: 532120 roughsealtd
CMU Database Systems - 13 Query Optimization (Fall 2018)
 
01:13:39
Slides PDF: https://15445.courses.cs.cmu.edu/fall2018/slides/13-optimization.pdf Lecture Notes: https://15445.courses.cs.cmu.edu/fall2018/notes/13-optimization.pdf Prof. Andy Pavlo (http://www.cs.cmu.edu/~pavlo/) 15-445/645 Intro to Database Systems (Fall 2018) Carnegie Mellon University https://15445.courses.cs.cmu.edu/fall2018
Views: 1559 CMU Database Group
How to Setup Mysql on your machine
 
03:11
For Complete Database Training Details Visit: http://www.qaonlinetraining.com http://infotek-solutions.com/ Delivery Method: Instructor led classroom and Online Training supported by world class Learning management system which automate all flow of lectures, videos, assignments, forums, quizzes and interview process. Class Schedule: Week-ends and Weekdays Contact Us: 571-437-0652, Mail Us: [email protected] Training Locations at : Ashburn / Fairfax / Maryland Office Address: 12801 Worldgate Dr #500, Herndon, VA 20170 Overview of Oracle DBA Training Oracle as a flexible, complex & robust RDBMS The evolution of hardware and the relation to Oracle Different DBA job roles (VP of DBA, developer DBA, production DBA, database babysitter) The changing job role of the Oracle DBA Environment management (network, CPU, disk and RAM) Instance management (managing SGA regions) Oracle table and index management Instance Architecture Instance vs. database Components of an instance Creating the OFA file structure ($DBA, bdump, udump, pfile) Oracle Instance Internals SGA vs. PGA Background processes Interfaces with server and disk I/O subsystem Using SQL*Plus for DBA management Connecting and executing SQL Using the “as sysdba” syntax Overview of SQL*Plus DBA commands (startup, etc.) Control file, UNDO and REDO management Explaining the use of control files Listing the Contents of the control File File locations for control Files Obtaining Control File Information Listing control file contents Displaying and Creating Undo segments Altering Undo Segments Determining the Number and Size of Undo segments Understanding flashback technology Troubleshooting Undo – snapshot too old Redo log concepts for recovery Online redo log (log_buffer) online redo logs and archived redo logs Oracle ARCH and LGWR background processes Redo log dictionary queries Redo log switch frequency and performance Multiplexing the Online Redo Log Files Archiving the Oracle Redo Logs Recovery using the redo log files User and privilege management The three security methods (VPD, Grant security/role-based security, grant execute) Creating New Database Users Using pre-spawned Oracle connections Auditing User activity Identifying System and Object Privileges Granting and Revoking Privileges Creating and Modifying Roles Displaying user security Information from the Data Dictionary Overview of instance management Parameter files (init.ora, listener.ora, tnsnames.ora) Rules for sizing SGA components Automated Oracle memory management (AMM) Initialization file management Creating the init.ora file Using spfile Displaying init.ora values with v$parameter Oracle*Net configuration Creating the listener.ora file Creating the tnsnames.ora file Data buffer configuration & sizing Inside the Oracle data buffers Using the KEEP pool Monitoring buffer effectiveness Using multiple blocksizes (multiple buffer pools) Shared pool and PGA configuration & Sizing Shared pool concepts and components Understanding the library cache Relieving shared pool contention Overview of PGA for sorting and hash joins Using sort_area_size, hash_area_size and pga_aggregate_target Troubleshooting network connectivity Verifying network connectivity with ping and tnsping Testing database links Oracle tables, views and materialized views Types of Oracle tables (regular, IOT, sorted hash clusters, nested tables) Oracle Views Oracle materialized views Oracle indexes Types of Oracle indexes (b-tree, bitmap, bitmap join index) Creating B*-Tree, bitmap and function-based Indexes Function-based indexes Finding indexing opportunities Index maintenance Oracle constraints Costs & benefits of constraints Types of Oracle indexes constraints (check, not null, unique, PK, FK) Cascading constraints Schema, File & tablespace management Describing the relationship between data files, tablespaces and table Understanding Oracle segments Creating Tablespaces – using the autoextend option Changing the Size of Tablespaces – alter database datafile command Defining a TEMP tablespace Changing the default storage Settings for a tablespace Review of the storage parameters in DBA views (ASM, ASSM, pctfree, pctused and freelists). Monitoring Chained rows (fetch continued rows) Monitoring Insert and Update performance (pctused, APPEND) Database Maintenance Reason for reorgs – chained rows, imbalanced freelists Reorganizing Tables using Export and Import Using CTAS to reorganize data Index rebuilding Backup & Recovery overview (hot & cold Backups, RMAN, block change tracking) Oracle DBA Utilities Data pump (Imp and exp utilities) SQL*Loader LogMiner Flashback DataGuard Oracle DBA utilities – Oracle dbms packages (dbms_redefinition)
MySQL Debugger for production issues
 
04:38
The SmartMySQL Debugger for MySQL production issues: The Smart My-SQL debugger automatically detects MySQL production problems and provide solutions for Long running queries, Long running transactions, Queries lock, Deadlock, Replication lagging, Wrong configurations, Foreign key errors. DB load, DB connections, DB size, InnoDB engine, MyISAM engine and many more.
Views: 22 SmatMySQL
Cost Based Optimizer Framework for Spark SQL: Spark Summit East talk by Ron Hu/Zhenhua Wang
 
31:42
In Spark SQL’s Catalyst optimizer, many rule based optimization techniques have been implemented, but the optimizer itself can still be improved. For example, without detailed column statistics information on data distribution, it is difficult to accurately estimate the filter factor, cardinality, and thus output size of a database operator. With the inaccurate and/or misleading statistics, it often leads the optimizer to choose suboptimal query execution plans. We added a Cost-Based Optimizer framework to Spark SQL engine. In our framework, we use Analyze Table SQL statement to collect the detailed column statistics and save them into Spark’s catalog. For the relevant columns, we collect number of distinct values, number of NULL values, maximum/minimum value, average/maximal column length, etc. Also, we save the data distribution of columns in either equal-width or equal-height histograms in order to deal with data skew effectively. Furthermore, with the number of distinct values and number of records of a table, we can determine how unique a column is although Spark SQL does not support primary key. This helps determine, for example, the output size of join operation and multi-column group-by operation. In our framework, we compute the cardinality and output size of each database operator. With reliable statistics and derived cardinalities, we are able to make good decisions in these areas: selecting the correct build side of a hash-join operation, choosing the right join type (broadcast hash-join versus shuffled hash-join), adjusting multi-way join order, etc. In this talk, we will show Spark SQL’s new Cost-Based Optimizer framework and its performance impact on TPC-DS benchmark queries.
Views: 937 Spark Summit
2018 Dodge Durango Double Bar Hood Hash Mark - Installation (MoProAuto)
 
02:26
DURANGO DOUBLE BAR : 2011-2018 Dodge Durango Hood Hash Marks Stripes Decals Vinyl Graphics Kit http://www.moproauto.com/durango-double-bar-2011-2018-dodge-durango-hood-hash-marks-stripes-decals-vinyl-graphics-kit/ The MoProAuto Original! This vinyl graphic for the Dodge Durango is extremely popular for automotive dealerships across the country! Replicating an OEM style, these side hood to fender hash mark stripes are designed for the 2011 2012 2013 2014 2015 2016 2017 2018 Dodge Durango. The vinyl graphic sections included with this vehicle specific kit are the driver and passenger stripe decals. Choose the options needed from the menu, including the premium cast vinyl grade. Perfect Fit Every Time : Each vehicle specific MoProAuto Pro Design Series Vinyl Graphic Kit is pre-designed, test fitted, and sold to auto dealers before being made available to the general public, for a perfect fit with little to no trimming needed. Application Fitment : These professional quality MoProAuto Pro Design Series Vinyl Graphic Kits fit any Dodge Durango from 2011 2012 2013 2014 2015 2016 2017 2018 model years, including the Dodge Durango SXT, Dodge Durango GT, Dodge Durango Citadel, Dodge Durango R/T, Dodge Durango SRT SUV Models.
Views: 2737 MoProAuto
High-Speed Cryptography in Java: X25519, Poly1305, and EdDSA
 
38:35
Adam Petcher, Principal Member of Technical Staff, Oracle JDK 11 includes support for the first of a new breed of cryptographic algorithm that features improved performance, trustworthiness, and security in cloud and multitenant environments. This session describes the features and implementations of some of these algorithms: X25519 key agreement, Poly1305 authentication, and EdDSA signatures. The presentation focuses on the techniques used to develop high-performance, secure implementations of modern cryptographic algorithms in Java. No knowledge of cryptography is required, and the session should be relevant to anyone who is interested in Java performance.
Views: 348 Oracle Developers
AWS Webcast - Data Modeling for low cost and high performance with DynamoDB
 
01:00:02
Efficient schema design reduces cost and eliminates barriers to scalability. This requires a different approach to data modeling, with a focus on optimizing for usage patterns rather than merely describing objects. In this session, you will learn best practice techniques for minimizing payload size and modeling one-to-many relationships in DynamoDB, leveraging the versatility of hash+range primary keys. These methods have been used extensively by customers with substantial workloads on DynamoDB, enabling them to grow their applications quickly and cost-effectively.
Views: 4311 Amazon Web Services
Using range over map of strings
 
03:22
Eliminating junk code. Further step would be os.Stat of file and check bytes size. Use hashing function of file contents only if size has changed.
Views: 4 master kiev
How HashMap works in Java? With Animation!! whats new in java8 tutorial
 
15:29
How does java hashmap work ? HashMap is one of the most popular java.util data structures. Its one of the associative array implementations, here I have explained its internals in simple terms using an animation. Java8 adds a bit of enhancement to HashMap by using a balanced tree when there is too much has collisions. I have covered that as well. Please leave your comments if you liked this. Also, subscribe to the channel for updates on similar topics.
Views: 520875 Ranjith ramachandran
#OracleDBA RMAN with BigFile Tablespaces Tip of the day 09/01/2017
 
02:53
RMAN With BIGFILES use "SECTION SIZE" not MAXPIECESIZE.
Create Login Window in C# step by step
 
16:35
Link : http://www.csharpsteps.com This tutorials teach how to Create Login window with c# and sql server by won.Using c sharp programming, we create this login form. This is the best way to learn c# . Here Step by step learn ado.net concepts too.
Views: 1930412 Vetrivel D
02 How to configure Rang partition In oracle database
 
15:35
Now a days enterprises run databases of hundred of Gigabytes in size. These databases are known as Very Large Databases (VLDB). From Oracle Ver. 8.0 Oracle has provided the feature of table partitioning i.e. you can partition a table according to some criteria . For example you have a SALES table with the following structure Suppose this table contains millions of records, but all the records belong to four years only i.e. 1991, 1992, 1993 and 1994. And most of the time you are concerned about only one year i.e. you give queries like the following select sum(amt) from sales where year=1991; select product,sum(amt) from sales where year=1992 Group by product; Now whenever you give queries like this Oracle will search the whole table. If you partition this table according to year, then the performance is improve since oracle will scan only a single partition instead of whole table. This type of partitioning is useful when dealing with data that has logical ranges into which it can be distributed; for example, value of year. Performance is best when the data evenly distributes across the range
Views: 1923 Md Arshad
Separating Succinct Non-Interactive Arguments From All Falsifiable Assumptions
 
53:58
Abstract: In this paper, we study succinct computationally sound proofs (arguments) for NP, whose communication complexity is poly-logarithmic the instance and witness sizes. The seminal works of Kilian '92 and Micali '94 show that such arguments can be constructed under standard cryptographic hardness assumptions with four rounds of interaction, and that they be made non-interactive in the random-oracle model. The latter construction also gives us some evidence that succinct non interactive arguments (SNARGs) may exist in the standard model with a common reference string (CRS), by replacing the oracle with a sufficiently complicated hash function whose description goes in the CRS. However, we currently do not know of any construction of SNARGs with a formal proof of security under any simple cryptographic assumption. In this work, we give a broad black-box separation result, showing that black-box reductions cannot be used to prove the security of any SNARG construction based on any falsifiable cryptographic assumption. This includes essentially all common assumptions used in cryptography (one-way functions, trapdoor permutations, DDH, RSA, LWE etc.). More generally, we say that an assumption is falsifiable if it can be modeled as an interactive game between an adversary and an efficient challenger that can efficiently decide if the adversary won the game. This is similar, in spirit, to the notion of falsifiability of Naor '03, and captures the fact that we can efficiently check if an adversarial strategy breaks the assumption. Our separation result also extends to designated verifier SNARGs, where the verifier needs a trapdoor associated with the CRS to verify arguments, and slightly succinct SNARGs, whose size is only required to be sub-linear in the statement and witness size. Joint work with Craig Gentry.
Views: 91 Microsoft Research
3D PRINTED GLOW IN THE DARK THORN GUN CREALITY CR10 S
 
10:01
In this video we try the Destiny hand cannon THORN in a GLOW in the dark filament from a company called AMOLEN. Filament turned out to be awesome. Print was from MYMINIFACTORY not thingiverse so here are the files I used so please leave a like or comment for the creator may be even a tip if you use the files. https://www.myminifactory.com/object/3d-print-thorn-from-destiny-4494 and here is a link to the glow in the dark filament from AMOLEN https://www.ebay.co.uk/itm/AMOLEN-3D-Printer-Filament-Glow-in-the-Dark-Blue-PLA-Filament-1-75mm/254111146850?hash=item3b2a346362:g:7UQAAOSwMOVcWjBX:rk:8:pf:0 Great project, gun is huge and everything I hoped it would be, possibly might get a painting. Or if we get enough likes on the video I might just put it up for a giveaway. See you all on the next one.
Views: 89 ORACLE'S CAVE
How to run VBScript programs !! Database Training Training ! Infotek-SolutionInc
 
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For Complete Database Training Details Visit: http://www.qaonlinetraining.com http://infotek-solutions.com/ Delivery Method: Instructor led classroom and Online Training supported by world class Learning management system which automate all flow of lectures, videos, assignments, forums, quizzes and interview process. Class Schedule: Week-ends and Weekdays Contact Us: 571-437-0652, Mail Us: [email protected] Training Locations at : Ashburn / Fairfax / Maryland Office Address: 12801 Worldgate Dr #500, Herndon, VA 20170 Overview of Oracle DBA Training Oracle as a flexible, complex & robust RDBMS The evolution of hardware and the relation to Oracle Different DBA job roles (VP of DBA, developer DBA, production DBA, database babysitter) The changing job role of the Oracle DBA Environment management (network, CPU, disk and RAM) Instance management (managing SGA regions) Oracle table and index management Instance Architecture Instance vs. database Components of an instance Creating the OFA file structure ($DBA, bdump, udump, pfile) Oracle Instance Internals SGA vs. PGA Background processes Interfaces with server and disk I/O subsystem Using SQL*Plus for DBA management Connecting and executing SQL Using the “as sysdba” syntax Overview of SQL*Plus DBA commands (startup, etc.) Control file, UNDO and REDO management Explaining the use of control files Listing the Contents of the control File File locations for control Files Obtaining Control File Information Listing control file contents Displaying and Creating Undo segments Altering Undo Segments Determining the Number and Size of Undo segments Understanding flashback technology Troubleshooting Undo – snapshot too old Redo log concepts for recovery Online redo log (log_buffer) online redo logs and archived redo logs Oracle ARCH and LGWR background processes Redo log dictionary queries Redo log switch frequency and performance Multiplexing the Online Redo Log Files Archiving the Oracle Redo Logs Recovery using the redo log files User and privilege management The three security methods (VPD, Grant security/role-based security, grant execute) Creating New Database Users Using pre-spawned Oracle connections Auditing User activity Identifying System and Object Privileges Granting and Revoking Privileges Creating and Modifying Roles Displaying user security Information from the Data Dictionary Overview of instance management Parameter files (init.ora, listener.ora, tnsnames.ora) Rules for sizing SGA components Automated Oracle memory management (AMM) Initialization file management Creating the init.ora file Using spfile Displaying init.ora values with v$parameter Oracle*Net configuration Creating the listener.ora file Creating the tnsnames.ora file Data buffer configuration & sizing Inside the Oracle data buffers Using the KEEP pool Monitoring buffer effectiveness Using multiple blocksizes (multiple buffer pools) Shared pool and PGA configuration & Sizing Shared pool concepts and components Understanding the library cache Relieving shared pool contention Overview of PGA for sorting and hash joins Using sort_area_size, hash_area_size and pga_aggregate_target Troubleshooting network connectivity Verifying network connectivity with ping and tnsping Testing database links Oracle tables, views and materialized views Types of Oracle tables (regular, IOT, sorted hash clusters, nested tables) Oracle Views Oracle materialized views Oracle indexes Types of Oracle indexes (b-tree, bitmap, bitmap join index) Creating B*-Tree, bitmap and function-based Indexes Function-based indexes Finding indexing opportunities Index maintenance Oracle constraints Costs & benefits of constraints Types of Oracle indexes constraints (check, not null, unique, PK, FK) Cascading constraints Schema, File & tablespace management Describing the relationship between data files, tablespaces and table Understanding Oracle segments Creating Tablespaces – using the autoextend option Changing the Size of Tablespaces – alter database datafile command Defining a TEMP tablespace Changing the default storage Settings for a tablespace Review of the storage parameters in DBA views (ASM, ASSM, pctfree, pctused and freelists). Monitoring Chained rows (fetch continued rows) Monitoring Insert and Update performance (pctused, APPEND) Database Maintenance Reason for reorgs – chained rows, imbalanced freelists Reorganizing Tables using Export and Import Using CTAS to reorganize data Index rebuilding Backup & Recovery overview (hot & cold Backups, RMAN, block change tracking) Oracle DBA Utilities Data pump (Imp and exp utilities) SQL*Loader LogMiner Flashback DataGuard Oracle DBA utilities – Oracle dbms packages (dbms_redefinition)
Is The Bitcoin Cash BCH Civil War Killing Bitcoin & Other Crypto?  - Nov 15th Cryptocurrency News
 
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Today we saw the cryptocurrency market suffer big losses. Bitcoin plummeted to its lowest level in a year. It lost more than 10% over the past 24 hours. And the Bitcoin Cash fight triggered the crypto market sell off as the fork is expected to happen today as part of scheduled protocol upgrades. But unlike previous Bitcoin cash hard forks, we are seeing a crypto civil war as the competing proposal is not compatible with the published roadmap. And many traders decided to sell due to fear. So let’s take a look a closer look at this crypto conflict. Roger Ver favours the ABC version.These proposed upgrades hope to reduce transaction costs with smart contracts, oracle services, and scaling improvements. Craig Wright is against this idea and is campaigning for Bitcoin Cash SV. SV stands for Satoshi’s version. Wright once claimed that he is actually the real Satoshi, but many actually call him Faketoshi! He wants to significantly increase the block size, to increase network capacity and scale. Please remember this is news, not investment advice.
Views: 486 NEWSBTC
Query Processing and Optimization : Query Tree, Evaluation Plan & Engine, Query Cost, Algorithms
 
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Exclusive range of revision notes & video lessons available on our site |||--- ClicK LINK To ViSiT ---||| http://www.studyyaar.com/index.php/module/28-query-processing-and-optimization This video clip is part of module available at http://www.studyyaar.com/index.php/learning-program/7-database-management-system-part-2
Views: 82843 StudyYaar.com
Java Collections Tutorial for Beginnners | (All concepts in Single Video)
 
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Java Collections Framework: What is an Iterator? → An iterator over a collection → Iterators allow the caller to remove elements from the underlying collection during the iteration with well-defined semantics. Iterator Interface: → Iterator Interface is a member of Java Collections Framework. What is List? → A List is an ordered Collection → Lists may contain duplicate elements → Positional Access - Manipulates elements based on their numerical position in the list → Search - Searches for a specified object in the list and returns its index position What is ArrayList? → Dynamic array for storing the elements → Inherits the AbstractList → Implements List interface → Can contain duplicate elements → Maintains insertion order → Non synchronized → Allows random access What is LinkedList? → Doubly linked list to store the elements → Inherits the AbstractList → Implements List and Deque interfaces → Can contain duplicate elements → Maintains insertion order → Non synchronized → Manipulation is fast because no shifting needs to be occurred What is HashMap? → Implements the map interface → HashMap contains values based on the key → Contains only unique elements → May have one null key and multiple null values → Maintains no order What is stack? → Stack is a subclass of Vector → It implements a standard last-in, first-out stack → It has only default constructor What is Vector? → Implements a dynamic array → Vector is synchronized → Vector contains many legacy methods → Can dynamically change the size of a Vector at runtime. What is LinkedHashMap? → Implements Map Interface → Stores key/value pairs in insertion order → Contains values based on key → Contains only unique elements → Can have one null key → Can have multiple null values What is TreeMap? → Implements Map Interface → Stores key/value pairs in sorted order → Contains values based on key → Contains only unique elements → Cannot have null key → Can have multiple null values TreeMap: → Implemented based on red-black tree structure → Ordered by the key What is HashTable? → Hashtable was part of the original java.util → Concrete implementation of a Dictionary → Java 2 re-engineered Hashtable so that it also implements the Map interface → Hashtable stores key/value pairs in a hash table HashMap vs LinkedHashMap vs TreeMap HashMap: → Implemented as a hash table,vi → No ordering on keys or values LinkedHashMap: → Insertion order For more details & source code check out: http://www.letsmakelearningsimple.com/2019/02/java-collections-framework.html #javacollections #java #letsmakelearningsimple #rakesh #rake ******************************************************* IMPORTANT PLAYLISTS: Java course tutorial: Tamil: https://www.youtube.com/playlist?list=PLN00Qh4gtjNvXIWBwL3MxbAdQMe9xhpTy Telugu: https://www.youtube.com/playlist?list=PLN00Qh4gtjNtyEZ_b-EVZNcQIMmhov-mH English: https://www.youtube.com/playlist?list=PLN00Qh4gtjNvty8ynSn9_3iOTDSe3gzoa Software Design Patterns course tutorial: Tamil: https://www.youtube.com/playlist?list=PLN00Qh4gtjNspk6zNQbCXnF3gsImfNym_ Telugu: https://www.youtube.com/playlist?list=PLN00Qh4gtjNv2L1bRnNEZNDbBVLYEpeUe English: https://www.youtube.com/playlist?list=PLN00Qh4gtjNt1mk67B4rQf244F4Fzz6nU ******************************************************* Subscribe my YouTube channels: ►Subscribe http://bit.ly/2HNPJGe this channel for watching Software Related courses like Java, Software Design Patterns, OOPs, and etc in Tamil, Telugu, and English. ►Subscribe http://bit.ly/2TsDz7c this channel for watching Income Tax saving schemes and Stock Market related videos. ►Subscribe http://bit.ly/2RwqfNq this channel for watching Terrace Gardening Tips, Unboxing products, and Random videos in Tamil, Telugu, and English. Website: www.letsmakelearningsimple.com FaceBook page: https://www.facebook.com/letsmakelearningsimple/ Instagram: https://www.instagram.com/lets_make_learning_simple Twitter: https://twitter.com/LMLS ******************************************************* Check out http://bit.ly/2E9P8el for complete SOFTWARE TUTORIAL COURSES: Check out http://bit.ly/2N52TxG for buying BEST SOFTWARE TUTORIAL BOOKS DISCLAIMER: This video and description contains affiliate links, which means that if you click on one of the product links, I’ll receive a small commission. This helps support the channel and allows us to continue to make videos like this. Thank you for the support!
28 How to Create QlikSense Group Bar Chart and Stack Bar Chart
 
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In this #qliksense tutorial video I have talked about how you can can create qliksense group bar chart and qliksense stack bar chart. #QlikSenseTutorial Grouped bars: With grouped bars, you can easily compare two or more items in the same categorical group. Stacked bars: With stacked bars it is easier to compare the total quantity between different months. Stacked bars combine bars of different groups on top of each other and the total height of the resulting bar represents the combined result. When to use it Grouping and stacking bars makes it easy to visualize grouped data. The bar chart is also useful when you want to compare values side by side, for example sales compared to forecast for different years, and when the measures (in this case sales and forecast) are calculated using the same unit. Advantages: The bar chart is easy to read and understand. You get a good overview of values when using bar charts. Disadvantages: The bar chart does not work so well with many dimension values due to the limitation of the axis length. If the dimensions do not fit, you can scroll using the scroll bar, but then you might not get the full picture. Creating a bar chart You can create a bar chart on the sheet you are editing. Do the following: From the assets panel, drag an empty bar chart to the sheet. Click Add dimension and select a dimension or a field. Click Add measure and select a measure or create a measure from a field. The bar chart is suitable for comparing multiple values. The dimension axis shows the category items that are compared, and the measure axis shows the value for each category item. Displaying large amounts of data in a stacked bar chart When displaying large amounts of data in a stacked bar chart, there may be cases when not each dimension value within a bar is displayed with correct color and size. These remaining values will instead be displayed as a gray, striped area. The size and total value of the bar will still be correct, but not all dimension values in the bar will be explicit.
Views: 212 Abhishek Agarrwal
Cryptographic Hash Functions
 
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Cryptography and Network Security by Prof. D. Mukhopadhyay, Department of Computer Science and Engineering, IIT Kharagpur. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 12698 nptelhrd
CMU Database Systems - 06 Database Storage (Fall 2017)
 
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Slides PDF: http://15445.courses.cs.cmu.edu/fall2017/slides/06-storage.pdf Notes PDF: http://15445.courses.cs.cmu.edu/fall2017/notes/06-notes-storage.pdf Annotated Video: https://scs.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=dca6cf39-def3-4523-bb94-7b7de5853645 Andy Pavlo (http://www.cs.cmu.edu/~pavlo/) 15-445/645 Intro to Database Systems (Fall 2017) Carnegie Mellon University http://15445.courses.cs.cmu.edu/fall2017
Views: 4408 CMU Database Group
EP 11-HOW TO MAKE CUSTOM WORDLIST IN KALI LINUX| HOW TO MAKE WORDLIST USING WINDOWS || CEWL
 
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HOW TO MAKE CUSTOM WORDLIST IN KALI LINUX| HOW TO MAKE WORDLIST USING WINDOWS || CEWL 🕵DISCLAIMER:Any actions and or activities related to the material contained within this Website is solely your responsibility.The misuse of the information in this website can result in criminal charges brought against the persons in question. The authors and Kali Tutorials will not be held responsible in the event any criminal charges be brought against any individuals misusing the information in this website to break the law. 👇SUBSCRIBE 👋Hey Guys in this video i am delivering an intro about what you will find this course and what is ethical hacking? CeWL - Custom Word List generator Based on a discussion on PaulDotCom episode 129 about creating custom word lists by spidering a targets website and collecting unique words I decided to write CeWL, the Custom Word List generator. CeWL is a ruby app which spiders a given url to a specified depth, optionally following external links, and returns a list of words which can then be used for password crackers such as John the Ripper. CeWL also has an associated command line app, FAB (Files Already Bagged) which uses the same meta data extraction techniques to create author/creator lists from already downloaded. The Practical Usage of CeWL CeWL is a very useful utility that is written in Ruby. It allows you to create custom wordlists, which are used for cracking passwords, based on a specified URL. The utility will “crawl” the specified site, as well as any links on the site to the depth you specify, and return a list of words from that site. You can filter the returned wordlist to include only words of a certain length of your choosing. It comes installed with Kali Linux by default. Humans are creatures of habit, and tend to use real words as a basis for their passwords. Often, they tend to use words based on what they like, or words that are associated with hobbies, or their occupation. Mining this information when targeting a specific individual is typically pretty simple, since everyone tends to publicly Now that we know what CeWL is, and what it’s used for, let’s see how it works. CeWL is able to take several parameters, all of which are listed with the command: cewl -h In its basic form, CeWL is a very powerful tool that can be used with a fairly small set of parameters. Of use to us in this example will be to set a minimum word size (5 letters is a good place to start), an output file that will contain all of our words, the depth of links that we want CeWL to crawl (if not specified this default to 2 links deep), and a URL to crawl. A couple of parameters to really think about here are the word size and the depth of links that we’re going to crawl. Personally, I like to start with a word size of 5 at a minimum. Typically, passwords are required to be 7 or 8 letters in length, so a user is fairly unlikely to pick a 3 or 4 letter word as a root word to their password. 5 characters is a good place to start, and to make the list smaller, you could start with 6 or 7 letters if you thought that’d be best. Experimentation is king here and everyone has their own technique. The second big decision to make with CeWL is how many links deep we want to crawl. Say, for example, if you leave this at the default of two links. Specifying two links deep essentially tells CeWL “Crawl the page I specify… all of the links on that page… and then all of the links on each of those pages, and then stop. Another parameter that you may include is the -o flag. This takes no value, and if set, simply tells CeWL that it’s ok to follow off-site links. If this isn’t specified, CeWL will keep its searches on-site only with the URL you specify. So, if for example you specify a Wikipedia.org URL to CeWL, CeWL won’t follow the many off-site reference links at the bottom of the page. For this example, let’s assume that we’re targeting an individual. We’ve obtained the password hash to their user account, WPA2 key, etc. and we know by browsing their open social media profiles that they are infatuated with the series Game of Thrones. We might use a command like this to generate a CeWL wordlis I hope you guys learn from this course and share it with everyone. DON'T FORGET TO SUBSCRIBE TO MY CHANNEL. MY INSTAGRAM ID: https://www.instagram.com/faizann_ali/ facebook page; https://www.facebook.com/pg/hackvines.faizan LIKE👍 COMMENT🗣 SHARE👬👫 SUBSCRIBE✌🤘
Views: 537 Faizan Ali
#1 Heap data Structure : Median of Running Stream
 
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#LogicMojo Another application problem based on Heap Data Structure. Most Commonly asked during Coding Interview Rounds. this question asked in these below Companies (Adobe | Amazon | Apple | Belzabar | Facebook | Google | Intuit | Microsoft | Morgan Stanley | Ola Cabs | Oracle | SAP Labs | Yahoo)
Views: 588 LogicMojo
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: 263 The Audiopedia