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- Embed means to integrate external content into another website or page. You embed something when you place a block of code — called an embed code — into the HTML editor of another website. When you hit ‘Save’ or ‘Publish,’ the media then renders on the published page.
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Top Answer
Answered Jul 06, 2009 · 13 votes
An IOR file is a file which contains an Interoperable Object Reference which is a kind of a locator string. The IOR file itself contains the IOR. The IOR is an CDR encoded string which, depended on the CORBA version, contains various information regarding the servant who created this string. But basically it works as a locator string.
Inside the IOR normally an IP, portnumber and object reference of the servant could be found.
In a simple hello world example the servant (server) will create this file. The client reads this file and the client ORB (Object Request Broker) will delegate the call from the client to the servant transparently.
All about CORBA: OMG CORBA Website or just visit Wikipedia
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Top Answer
Answered Feb 19, 2018 · 481 votes
Introduction
Object-Relational Mapping (ORM) is a technique that lets you query and manipulate data from a database using an object-oriented paradigm. When talking about ORM, most people are referring to a library that implements the Object-Relational Mapping technique, hence the phrase "an ORM".
An ORM library is a completely ordinary library written in your language of choice that encapsulates the code needed to manipulate the data, so you don't use SQL anymore; you interact directly with an object in the same language you're using.
For example, here is a completely imaginary case with a pseudo language:
You have a book class, you want to retrieve all the books of which the author is "Linus". Manually, you would do something like that:
book_list = new List();sql = "SELECT book FROM library WHERE author = 'Linus'";data = query(sql); // I over simplify ...while (row = data.next()){ book = new Book(); book.setAuthor(row.get('author'); book_list.add(book);}-
With an ORM library, it would look like this:
book_list = BookTable.query(author="Linus");-
The mechanical part is taken care of automatically via the ORM library.
Pros and Cons
Using ORM saves a lot of time because:
- DRY: You write your data model in only one place, and it's easier to update, maintain, and reuse the code.
- A lot of stuff is done automatically, from database handling to I18N.
- It forces you to write MVC code, which, in the end, makes your code a little cleaner.
- You don't have to write poorly-formed SQL (most Web programmers really suck at it, because SQL is treated like a "sub" language, when in reality it's a very powerful and complex one).
- Sanitizing; using prepared statements or transactions are as easy as calling a method.
Using an ORM library is more flexible because:
- It fits in your natural way of coding (it's your language!).
- It abstracts the DB system, so you can change it whenever you want.
- The model is weakly bound to the rest of the application, so you can change it or use it anywhere else.
- It lets you use OOP goodness like data inheritance without a headache.
But ORM can be a pain:
- You have to learn it, and ORM libraries are not lightweight tools;
- You have to set it up. Same problem.
- Performance is OK for usual queries, but a SQL master will always do better with his own SQL for big projects.
- It abstracts the DB. While it's OK if you know what's happening behind the scene, it's a trap for new programmers that can write very greedy statements, like a heavy hit in a for loop.
How to learn about ORM?
Well, use one. Whichever ORM library you choose, they all use the same principles. There are a lot of ORM libraries around here:
- Java: Hibernate.
- PHP: Propel or Doctrine (I prefer the last one).
- Python: the Django ORM or SQLAlchemy (My favorite ORM library ever).
- C#: NHibernate or Entity Framework
If you want to try an ORM library in Web programming, you'd be better off using an entire framework stack like:
- Symfony (PHP, using Propel or Doctrine).
- Django (Python, using a internal ORM).
Do not try to write your own ORM, unless you are trying to learn something. This is a gigantic piece of work, and the old ones took a lot of time and work before they became reliable.
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With the advancement in technology, hackers around the world have come up with new and innovative ways to take advantage of vulnerabilities posing threat to online tools. By now you must be familiar with ChatGPT and similar language models but did you know these are also vulnerable to attacks?
<img alt="What Is an AI Prompt Injection Attack and How Does It Work?">
The answer to that question is a big Yes, despite all the intellectual capabilities it still has some weaknesses.
AI prompt injection attack is one such vulnerability. It was first reported to OpenAI by Jon Cefalu in May 2022. Initially, it was not released to the public due to internal reasons but was brought forward among the public in September 2022 by Riley Goodside.
All thanks to Riley, the world came to know about the possibility of framing an input that can manipulate the language model into changing its expected behaviour aka the “AI prompt injection attack”.
This blog will teach you about AI prompt injection attacks and also introduce you to some safeguards to protect yourself against AI prompt injection attacks.
First, let us start with understanding What are AI prompt injection attacks.
What Is an...
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Top Answer
Answered Sep 30, 2014 · 3 votes
Consider the expression this.UIMap.UIOne.UITwo.UIThree. To access the UIThree control needs UITwo to have been found and to find it needs UIOne to have been found. The finds of UIOne and UITwo are implicit finds.
An alternative is to write the statements:
this.UIMap.UIOne.Find();this.UIMap.UIOne.UITwo.Find();... this.UIMap.UIOne.UITwo.UIThree ...
The question states:
From my understanding, an implicit search is a search that will be carried out when the playback engine cannot find the exact UI control.
This is a wrong interpretation. The implicit search relates to finding the higher level controls in an expression with multiple properties chained by dots. When an exact match cannot be found then a smart match may be invoked. When an expression such as this.UIMap.UIOne.UITwo.UIThree is used then, potentially, smart matches may be used for each of the three controls.
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Top Answer
Answered Jul 06, 2021 · 113 votes
- What exactly is it?On one hand, a specific system, but it has also become a generic word for a variety of new data storage backends that do not follow the relational DB model.
- How does it work?Each of the systems labelled with the generic name works differently, but the basic idea is to offer better scalability and performance by using DB models that don't support all the functionality of a generic RDBMS, but still enough functionality to be useful. In a way it's like MySQL, which at one time lacked support for transactions but, exactly because of that, managed to outperform other DB systems. If you could write your app in a way that didn't require transactions, it was great.
- Why would it be better than using a SQL Database? And how much better is it?It would be better when your site needs to scale so massively that the best RDBMS running on the best hardware you can afford and optimized as much as possible simply can't keep up with the load. How much better it is depends on the specific use case (lots of update activity combined with lots of joins is very hard on "traditional" RDBMSs) - could well be a factor of 1000 in extreme cases.
- Is the technology too new to start implementing yet or is it worth taking a look into?Depends mainly on what you're trying to achieve. It's certainly mature enough to use. But few applications really need to scale that massively. For most, a traditional RDBMS is sufficient. However, with internet usage becoming more ubiquitous all the time, it's quite likely that applications that do will become more common (though probably not dominant).
Other Answers
Answered Mar 25, 2015 · 150 votes
There is no such thing as NoSQL!
NoSQL is a buzzword.
For decades, when people were talking about databases, they meant relational databases. And when people were talking about relational databases, they meant those you control with Edgar F. Codd's Structured Query Language. Storing data in some other way? Madness! Anything else is just flatfiles.
But in the past few years, people started to question this dogma. People wondered if tables with rows and columns are really the only way to represent data. People started thinking and coding, and came up with many new concepts how data could be organized. And they started to create new database systems designed for these new ways of working with data.
The philosophies of all these databases were different. But one thing all these databases had in common, was that the Structured Query Language was no longer a good fit for using them. So each database replaced SQL with their own query languages. And so the term NoSQL was born, as a label for all database technologies which defy the classic relational database model.
So what do NoSQL databases have in common?
Actually, not much.
You often hear phrases like:
- NoSQL is scalable!
- NoSQL is for BigData!
- NoSQL violates ACID!
- NoSQL is a glorified key/value store!
Is that true? Well, some of these statements might be true for some databases commonly called NoSQL, but every single one is also false for at least one other. Actually, the only thing NoSQL databases have in common, is that they are databases which do not use SQL. That's it. The only thing that defines them is what sets them apart from each other.
So what sets NoSQL databases apart?
So we made clear that all those databases commonly referred to as NoSQL are too different to evaluate them together. Each of them needs to be evaluated separately to decide if they are a good fit to solve a specific problem. But where do we begin? Thankfully, NoSQL databases can be grouped into certain categories, which are suitable for different use-cases:
Document-oriented
Examples: MongoDB, CouchDB
Strengths: Heterogenous data, working object-oriented, agile development
Their advantage is that they do not require a consistent data structure. They are useful when your requirements and thus your database layout changes constantly, or when you are dealing with datasets which belong together but still look very differently. When you have a lot of tables with two columns called "key" and "value", then these might be worth looking into.
Graph databases
Examples: Neo4j, GiraffeDB.
Strengths: Data Mining
While most NoSQL databases abandon the concept of managing data relations, these databases embrace it even more than those so-called relational databases.
Their focus is at defining data by its relation to other data. When you have a lot of tables with primary keys which are the primary keys of two other tables (and maybe some data describing the relation between them), then these might be something for you.
Key-Value Stores
Examples: Redis, Cassandra, MemcacheDB
Strengths: Fast lookup of values by known keys
They are very simplistic, but that makes them fast and easy to use. When you have no need for stored procedures, constraints, triggers and all those advanced database features and you just want fast storage and retrieval of your data, then those are for you.
Unfortunately they assume that you know exactly what you are looking for. You need the profile of User157641? No problem, will only take microseconds. But what when you want the names of all users who are aged between 16 and 24, have "waffles" as their favorite food and logged in in the last 24 hours? Tough luck. When you don't have a definite and unique key for a specific result, you can't get it out of your K-V store that easily.
Is SQL obsolete?
Some NoSQL proponents claim that their favorite NoSQL database is the new way of doing things, and SQL is a thing of the past.
Are they right?
No, of course they aren't. While there are problems SQL isn't suitable for, it still got its strengths. Lots of data models are simply best represented as a collection of tables which reference each other. Especially because most database programmers were trained for decades to think of data in a relational way, and trying to press this mindset onto a new technology which wasn't made for it rarely ends well.
NoSQL databases aren't a replacement for SQL - they are an alternative.
Most software ecosystems around the different NoSQL databases aren't as mature yet. While there are advances, you still haven't got supplemental tools which are as mature and powerful as those available for popular SQL databases.
Also, there is much more know-how for SQL around. Generations of computer scientists have spent decades of their careers into research focusing on relational databases, and it shows: The literature written about SQL databases and relational data modelling, both practical and theoretical, could fill multiple libraries full of books. How to build a relational database for your data is a topic so well-researched it's hard to find a corner case where there isn't a generally accepted by-the-book best practice.
Most NoSQL databases, on the other hand, are still in their infancy. We are still figuring out the best way to use them.
Other Answers
Answered Jan 20, 2013 · 28 votes
Since someone said that my previous post was off-topic, I'll try to compensate :-) NoSQL is not, and never was, intended to be a replacement for more mainstream SQL databases, but a couple of words are in order to get things in the right perspective.
At the very heart of the NoSQL philosophy lies the consideration that, possibly for commercial and portability reasons, SQL engines tend to disregard the tremendous power of the UNIX operating system and its derivatives.
With a filesystem-based database, you can take immediate advantage of the ever-increasing capabilities and power of the underlying operating system, which have been steadily increasing for many years now in accordance with Moore's law. With this approach, many operating-system commands become automatically also "database operators" (think of "ls" "sort", "find" and the other countless UNIX shell utilities).
With this in mind, and a bit of creativity, you can indeed devise a filesystem-based database that is able to overcome the limitations of many common SQL engines, at least for specific usage patterns, which is the whole point behind NoSQL's philosophy, the way I see it.
I run hundreds of web sites and they all use NoSQL to a greater or lesser extent. In fact, they do not host huge amounts of data, but even if some of them did I could probably think of a creative use of NoSQL and the filesystem to overcome any bottlenecks. Something that would likely be more difficult with traditional SQL "jails". I urge you to google for "unix", "manis" and "shaffer" to understand what I mean.
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What is embedding & how does it work?
- Embedding means to place content on your page/site rather than only linking to it. This way readers don't have to leave your site to consume additional content. Here's what you need to know to understand how embedding works for a variety of platforms. What Does Embed Mean? This image is embedding in this page. Jean-Philippe Ksiazek / Getty Images
What Does Embed Mean? - Lifewire
www.lifewire.com/what-does-embed-mean-4773663What is embed> HTML element?
- The HTML element embeds external content at the specified point in the document. This content is provided by an external application or other source of interactive content such as a browser plug-in. Note: This topic documents only the element that is defined as part of the HTML Living Standard.
<embed>: The Embed External Content element - HTML: HyperText …
developer.mozilla.org/en-US/docs/Web/HTML/Element/embedWhat is the difference between iframe and embed?
- Like iframe, the embed element is used to embed an external resource in a web page. However, these two elements do slightly different things. As mentioned, we use iframe to embed an HTML document onto a page. Alternatively, embed is used to embed other types of content, including PDFs, browser plugins, and Flash animations.
What Is an Iframe? [+ How to Embed Content With Iframes] - HubSpot …
blog.hubspot.com/website/what-is-an-iframeWhat is an embedded video?
- An embedded video: The tag defines a container for an external resource, such as a web page, a picture, a media player, or a plug-in application. Most browsers no longer support Java Applets and Plug-ins. ActiveX controls are no longer supported in any browsers. The support for Shockwave Flash has also been turned off in modern browsers.
HTML embed Tag - W3Schools
www.w3schools.com/TAGS/tag_embed.aspdeveloper.mozilla.org › Web › HTML<embed>: The Embed External Content element - MDN Web Docs
developer.mozilla.org › Web › HTMLMar 14, 2024 · The <embed> HTML element embeds external content at the specified point in the document. This content is provided by an external application or other source of interactive content such as a browser plug-in. Try it. Note: This topic documents only the element that is defined as part of the HTML Living Standard.
www.lifewire.com › what-does-embed-mean-4773663What Does Embed Mean? - Lifewire
www.lifewire.com › what-does-embed-mean-4773663Jul 25, 2023 · Embedding means to place content on your page/site rather than only linking to it. This way readers don't have to leave your site to consume additional content. Here's what you need to know to understand how embedding works for a variety of platforms.
www.w3schools.com › TAGS › tag_embedHTML embed Tag - W3Schools
www.w3schools.com › TAGS › tag_embedDefinition and Usage. The <embed> tag defines a container for an external resource, such as a web page, a picture, a media player, or a plug-in application.
blog.hubspot.com › website › what-is-an-iframeWhat Is an Iframe? [+ How to Embed Content With Iframes]
blog.hubspot.com › website › what-is-an-iframeApr 20, 2021 · As mentioned, we use iframe to embed an HTML document onto a page. Alternatively, embed is used to embed other types of content, including PDFs, browser plugins, and Flash animations. The embed element can also be used to place media, but iframe is better for this purpose.
towardsdatascience.com › what-is-embedding-andWhat Is Embedding and What Can You Do with It | by Jinhang ...
towardsdatascience.com › what-is-embedding-andMay 5, 2021 · From Google’s Machine Learning Crash Course, I found the description of embedding: An embedding is a relatively low-dimensional space into which you can translate high-dimensional vectors. Embeddings make it easier to do machine learning on large inputs like sparse vectors representing words.
www.siteground.com › kb › what-is-iframeWhat is an iframe, and how do you use it on your website?
www.siteground.com › kb › what-is-iframeAn iframe (Inline frame) is an HTML document embedded inside another HTML document. It allows websites to render an HTML element from another source, like videos, maps, or a social media feed, directly on a web page.
www.w3schools.com › html › html_iframeHTML Iframes - W3Schools
www.w3schools.com › html › html_iframeAn HTML iframe is used to display a web page within a web page. Menu. HTML Tutorial. Home Next . HTML is the standard markup language for Web pages. With HTML you can create your own Website. HTML is easy to learn - You will enjoy it! Study our free HTML Tutorial » Easy Learning with HTML "Try it Yourself"
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