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Sharing basic knowledge about Magento EAV System. Using raw sql and ORM to build a query base on EAV Model.
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Describe what EAV is and how to use it with ActiveRecord.
Implementation of EAV pattern for ActiveRecord models
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Kostyantyn Stepanyuk
Designing an extensible, flexible schema that supports user customization is a common requirement, but it's easy to paint yourself into a corner. Examples of extensible database requirements: - A database that allows users to declare new fields on demand. - Or an e-commerce catalog with many products, each with distinct attributes. - Or a content management platform that supports extensions for custom data. The solutions we use to meet these requirements is overly complex and the performance is terrible. How should we find the right balance between schema and schemaless database design? I'll briefly cover the disadvantages of Entity-Attribute-Value (EAV), a problematic design that's an example of the antipattern called the Inner-Platform Effect, That is, modeling an attribute-management system on top of the RDBMS architecture, which already provides attributes through columns, data types, and constraints. Then we'll discuss the pros and cons of alternative data modeling patterns, with respect to developer productivity, data integrity, storage efficiency and query performance, and ease of extensibility. - Class Table Inheritance - Serialized BLOB - Inverted Indexing Finally we'll show tools like pt-online-schema-change and new features of MySQL 5.6 that take the pain out of schema modifications.
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Sharing basic knowledge about Magento EAV System. Using raw sql and ORM to build a query base on EAV Model.
EAV Sytem- Magento EAV Model
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Khoa Truong Dinh
Describe what EAV is and how to use it with ActiveRecord.
Implementation of EAV pattern for ActiveRecord models
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Kostyantyn Stepanyuk
Designing an extensible, flexible schema that supports user customization is a common requirement, but it's easy to paint yourself into a corner. Examples of extensible database requirements: - A database that allows users to declare new fields on demand. - Or an e-commerce catalog with many products, each with distinct attributes. - Or a content management platform that supports extensions for custom data. The solutions we use to meet these requirements is overly complex and the performance is terrible. How should we find the right balance between schema and schemaless database design? I'll briefly cover the disadvantages of Entity-Attribute-Value (EAV), a problematic design that's an example of the antipattern called the Inner-Platform Effect, That is, modeling an attribute-management system on top of the RDBMS architecture, which already provides attributes through columns, data types, and constraints. Then we'll discuss the pros and cons of alternative data modeling patterns, with respect to developer productivity, data integrity, storage efficiency and query performance, and ease of extensibility. - Class Table Inheritance - Serialized BLOB - Inverted Indexing Finally we'll show tools like pt-online-schema-change and new features of MySQL 5.6 that take the pain out of schema modifications.
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Presentation given at OSCON 2009 and PostgreSQL West 09. Describes SQL solutions to a selection of object-oriented problems: - Extensibility - Polymorphism - Hierarchies - Using ORM in MVC application architecture These slides are excerpted from another presentation, "SQL Antipatterns Strike Back."
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You can watch the replay for this Geek Sync webcast in the IDERA Resource Center: http://ow.ly/tt9w50A5g7u Jeffrey will cover ways to avoid people thinking your code is bad, some common coding fallacies, and presents two case studies on rewriting bad SQL. The first case study contains three iterations of code written by the instructor, the second case study comes from an eCommerce site that had a great idea but horrible execution.
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Page 5 of 7 Delete this text and type your name here This file will become rather large due to your screen shots. I encourage you to compress this file (zip) before submitting it. Lab 6: 40 Total Points Possible You will need to log into Apex at https://iacademy.oracle.com" https://iacademy.oracle.com in order to complete this assignment. Sections 7-8--Programming with SQL Section 7-8 Objectives: Working with DML and DDL Statements Creating and Modifying TablesUsing Data Types Vocabulary: Directions: Identify the vocabulary word(s) for each definition below. (1 Point each) 1. Command used to make a new table. Answer: 2. A collection of objects that are the logical structures that directly refer to the data in the database. Answer: 3. Specifies a preset value if a value is omitted in the INSERT statement. Answer: 4. Stores data; basic unit of storage composed of rows and columns. Answer: 5. Created and maintained by the Oracle Server and contains information about the database. Answer: Try It / Solve It: Log into Apex. Execute the following CREATE TABLE SQL statement: CREATE TABLE grad_candidates (student_id NUMBER(6), last_name VARCHAR2(15), first_name VARCHAR2(15), credits NUMBER (3), graduation_date DATE); After executing the above SQL statement, you should receive a ‘Table Created ‘message. 1. Create an SQL statement that will describe the structure of the table object called grad_candidates. Provide a screen shot of your table properties as shown below. (2 Points): Select Statement You Used: My example of table structure results from Apex (copy): YOU MUST DELETE MY SCREEN SHOT BELOW AND INSERT YOUR OWN. YOUR SCREEN SHOW MUST SHOW YOUR WORSPACE IN ORDER TO RECEIVE CREDIT. (1 Point) 2. Create a new table using a subquery. Name the new table your last name – e.g., herbert_table. Using a subquery, copy grad_candidates into herbert_table. Provide a screen shot of the table structure. (2 Points) Select Statement You Used: My example of table structure results from Apex (copy): YOU MUST DELETE MY SCREEN SHOT BELOW AND INSERT YOUR OWN. YOUR SCREEN SHOW MUST SHOW YOUR WORSPACE IN ORDER TO RECEIVE CREDIT. (1 Point) 3. Insert your personal information into the HERBERT_TABLE (or whatever name you gave it). Hint: DATE and VARCHAR2 data type values need to have an apostrophe surrounding each value ('). (2 Points) Select Statement You Used: My example of table content results from Apex (copy): YOU MUST DELETE MY SCREEN SHOT BELOW AND INSERT YOUR OWN. (1 Point) 3. Create an SQL statement using the ALTER TABLE command. Alter the HERBERT_TABLE (or whatever name you gave it) and insert a new column called e_mail_address with a VARCHAR2 data type that will hold 80 characters. (2 Points) Select Statement You Used: 4. Create an SQL statement that will describe the structure of the table object you just inserted the e_mail_address column into. Provide a screen shot of the table structure. (2 Point) Select Statement You Used: My ex.
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The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
Joaquim Jorge
This presentations targets students or working professionals. You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many developer tools, platforms & APIs? This comprehensive yet still high-level overview outlines the most impactful tools for where to run your code, store & analyze your data. It will also inspire you as to what's possible. This talk is 50 minutes in length.
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
wesley chun
What is a good lead in your organisation? Which leads are priority? What happens to leads? When sales and marketing give different answers to these questions, or perhaps aren't sure of the answers at all, frustrations build and opportunities are left on the table. Join us for an illuminating session with Cian McLoughlin, HubSpot Principal Customer Success Manager, as we look at that crucial piece of the customer journey in which leads are transferred from marketing to sales.
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
HampshireHUG
Details
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vu2urc
My presentation at the Lehigh Carbon Community College (LCCC) NSA GenCyber Cyber Security Day event that is intended to foster an interest in the cyber security field amongst college students.
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
Michael W. Hawkins
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GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
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Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
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Artificial Intelligence: Facts and Myths
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