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Difference Between MySQL Union vs Union All

Mysql union and union all operators are used to get the combined result set two or more tables for two subqueries which involve using a select clause to retrieve the same number and type of columns from both subqueries. Both union and union all clauses have the same requirement and purpose but just with some differences in how both will retrieve the final result set.

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In this article, we will study the syntax and usage of unions and all clauses, along with their similarities and differences. We will also learn about the implementation of union and union all in mysql along with the help of an example.

The syntax of the union clause in mysql is as shown below:

First select query UNION Second select query

The working of the union operator can be understood from the below Venn diagram example where one of the data set retrieved from the first subquery gives the output a,b,c while the dataset retrieved from the other query is p,c,r and when both these queries are combined with union operator in between the final resultset gives only one occurrence of c which is duplicated in both the resultset. Hence, it can be said that the union operator only combines the result and retrieves the unique values.

Example of Union Operator

Two tables are considered here, namely employee_details which stores the data related to the employees, and the other one is customer_details which is kept for storing the contact-related information in the table. Both this table contains the names of the employee and the employee id. Let us see what are the contents of each of the tables firstly –

SELECT * FROM [employee_details]

SELECT * FROM [contact_details]

If we perform union on both the tables using the following query, unique result set data values are retrieved combining data of both the tables as shown below –

SELECT employee_id, f_name FROM employee_details UNION SELECT employee_id, employee_name FROM contact_details ORDER BY employee_id;

The output of the above query statement is as shown below –

Syntax of Union All clause –

The syntax of the union clause in mysql is as shown below –

First select query UNION ALL Second select query

When the same example is considered, and between the two queries union all operator is applied; it gives the output of elements a,b,c,p,c,r which contains a duplicate occurrence of the c value as it is present in both the data sets. Hence, the union combines the result but also retrieves the duplicate values.

Example of Union All Operator

One of the examples where we have implemented a union operator is as shown below –

SELECT employee_id, f_name FROM employee_details UNION ALL SELECT employee_id, employee_name FROM contact_details ORDER BY employee_id;

The records of employee id with 101 and 103 have the same employee_id in both the tables and the same f_name column value; that’s why both occurrences of it persist in the output of the union of all operators.

Head to Head Comparison between MySQL Union vs Union All (Infographics)

Below are the top 8 differences between MySQL Union vs Union All:

Key Differences between MySQL Union vs Union All

Some of the key differences between MySQL Union vs Union All are:

The most critical feature that needs to be pointed out over here is that in case of a union operator, combining the data from two sources eliminates the duplicate entries retrieved from both datasets and keeps only one of its entries. In the case of the union of all operators, none of the elimination is performed, and the duplicate values are held in the final result set.

MySQL Union vs Union All Comparison Table

Let us discuss the top comparison between MySQL Union vs Union All:

Union Union All

When applied to the two subqueries retrieving a particular data set, the UNION operator combines them and returns the final result set containing unique occurrences of data retrieved from both tables. When applied to the two subqueries retrieving a particular data set, the UNION ALL operator combines them. It returns the final result set, which may contain any occurrences of data values retrieved from both tables.

The default behavior of the UNION operator involves eliminating all the duplicate values from the combined data set retrieved from both datasets. There is no such default behavior in the case of the UNION ALL operator.

The working of the UNION operator is much slower because after combining the data from the two tables, it also has one more step to perform: eliminating all the duplicate values. The execution of the UNION ALL operator is comparatively faster because it only carries out a combination of two data sets.

Database designers and users prefer to use the union operator as it retrieves unique results. Most frequently used as compared to UNION ALL. Database designers and users do not much prefer them. However, it depends upon the requirement of which operator will be used.

The syntax of the UNION operator is –

sub query UNION sub query

The syntax of the UNION ALL operator is –

sub query UNION ALL sub query

Venn diagram for representing the working of union operator is as shown below –

The c data value is present in both data sets. Hence, the final result considers only one occurrence of it.

Venn diagram for representing the working of union all operator for same data sets is as shown below –

Even though c is present in both data sets, both occurrences are retained in the final result set.

One of the examples where we have implemented a union operator is as shown below –

SELECT employee_id, f_name FROM employee_details UNION SELECT employee_id, employee_name FROM contact_details ORDER BY employee_id;

The output of the above query statement is as shown below –

Even though the records of employee id with 101 and 103 have the same employee_id in both the tables and the same f_name column value. Still, only one of the occurrences of it persisted in the output of the union operator.

One of the examples where we have implemented a union operator is as shown below –

SELECT employee_id, f_name FROM employee_details UNION ALL SELECT employee_id, employee_name FROM contact_details ORDER BY employee_id;

The output of the above query statement is as shown below –

The records of employee id with 101 and 103 have the same employee_id in both the tables and the same f_name column value; that’s why both occurrences of it persist in the output of the union of all operators.

Conclusion

The union operator and union operator both do the same job of combining the result set. The only significant difference in their working is that the union operator eliminates the duplicate entries from the final result set. In contrast, the union of all operators persists the duplicate entries as well.

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Complete Guide To Db2 Union With Illustration

Introduction to DB2 UNION

DB2 UNION statement is used to get a collective result that consists of all the records retrieved by the two subsets. The subsets can be the select query statements that retrieve certain rows and columns as the result. When using the UNION operator we have to make sure that the order in which the columns are retrieved from both the subqueries as well as a number of the column values retrieved from both subsets should be same. Also, for usage of UNION operator, the datatype of all the column values that are retrieved from both subqueries should be same or compatible with each other. The compatibility of datatypes mean that one of the datatype of the column can be converted implicitly by the system with respect to the same numbered column retrieved from the other sub query.

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Syntax:

Second Subselect query

One of the most common usage of the UNION operator is to merge a list of values that are been retrieved from two or more tables. The main difference between the UNION operator and the join operation is that even though both the operators help to combine the result from multiple tables, the UNION operator executes and retrieves the result by appending the rows vertically while in case of the JOIN operator the result is retrieved by appending the rows horizontally. Also, one more difference between the UNION and the JOIN operator is that UNION combines multiple rows while JOIN combines multiple columns.

Examples

Suppose that we have two tables named Sales_Customers and Customer_categories. The Sales_Customers table contains all the records having the details of each of the purchase-sale amount done for that customer depending on how much is purchased by that customer in that transaction while Customer_categories stores the total amount of purchasing sone by that customer. The data for both tables can be seen by using the following query statements.

SELECT * FROM Sales_Customers;

The execution of above query statement gives following output

SELECT * FROM Customer_categories

The execution of above query statement gives following output

Sales_Customers;

The execution of above query statement gives following output:

Difference between UNION and UNION ALL

The UNION operator retrieves only the unique rows that means while combining the result set retrieved after executing both the sub-select statements the common rows which are duplicates are removed from the final result set. In case of UNION ALL, the duplicate rows are still persisted in the final result set. Let us have a look at the difference with the help of an example. Let’s use the same above example. We have seen that the common records are retrieved only once when using the UNION operator. Now, in place of UNION, if we use UNION ALL operator, we will get the duplicate entries of the common records retrieved from both the tables as shown below –

Sales_Customers;

The execution of above query statement gives following output –

Using UNION along with ORDER BY clause –

We can retrieve the ordered result set which will be based on certain column(s) value retrieved from both the sub queries. The order can be specified by using the ORDER BY clause with the sorting expression specified either by specifying the name of the column provided if both the sub queries retrieve the same column name or by using the alias for the retrieved column value for each sub query or by specifying the integer number which stands for the position of the column on the basis of which the ordering needs to be done. Let us see how we can do the ordering by using the alias as shown below –

ORDER BY any_name;

The ordering of the result set can be done using the position integer by following a structure as shown below –

ORDER BY 1

The above statement structure can be used if we have to order the result set based on the column value retrieved in the first column value.

Conclusion

We can make the use of the UNION operator to combine the result of two sub queries which will retrieve the unique rows having the same number of columns with same datatypes as retrieved by the subqueries.

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How Union Works In Linq With Examples?

Introduction to LINQ Union

Web development, programming languages, Software testing & others

Syntax:

Let’s see the LINQ Union method syntax as follows,

If you are working with complex types of union collection, then you must make use of the IEqualityComparer interface to get an accurate result; otherwise, you will get only the incorrect result.

How does Union work in LINQ?

In LINQ Union method it only supports the method syntax; the query syntax will not be available in the union method. The Queryable and Enumerable classes will be acceptable in the union method. The Union operator or method is mainly used to combine the multiple collections into a single distinct collection; it returns only the unique elements; as a result, it removes the duplicate values from the collection. Let’s see one example as follows.

For Example,

Collection X= {20, 40, 60, 80, 100} Collection Y= {20, 40, 70} var _result = X.Union(Y);

The result is = {20, 40, 60, 70, 80, 100} in this resultant collection, the elements 20 and 40 appear in both the collection, so in the result, it returns only once because unique elements are only displayed it eliminates the duplications. Let’s see the working flow of the unique method as follows,

static public void Main() { string[] Department1 = { "JAVA", "DOTNET", "PHYTHON", "ANDROID" }; string[]Department2 = { "JAVA", "ANDROID", "DESIGNING" }; var unionResult = Department1.Union(Department2); foreach (var items in unionResult) { Console.WriteLine(items); } } string[]Department1 = { "JAVA", "DOTNET", "PHYTHON", "ANDROID" }; string[]Department2 = { "JAVA", "ANDROID", "DESIGNING" };

From this, we have to return only the unique elements from both the collections it removes the duplications from both collections, to get all the elements uniquely, we need to go with the Union () method,

var unionResult = Department1.Union(Department2);

It returns only the unique elements from the collection, in which it removes the repeated elements present in the collection it returns only once; let’s check the result here below,

Result is {"JAVA", "DOTNET","DESIGNING", "PHYTHON", "ANDROID"}; Usage of IEqualityComparer Interface

Here we introduce the IEqualityComparer Interface for the union method because the union method can’t be able to differentiate whether the two types are equal; it does not work with complex types of collection, so it returns the only incorrect result. For this purpose, we have to build a new comparer class to implement IEqualityComparer Interface to get an accurate result. IEqualityComparer Interface has two different methods, GetHashCode and Equals methods; we need to implement both methods compulsory. Let’s see one example for IEqualityComparer interface and lets us assume the Book Class contains BookID and BookName,

{ public bool Equals(Book x, Book y) { if (x.BookID == y.BookID && x.BookName.ToLower() == y. BookName.ToLower()) return true; return false; } public int GetHashCode(Student obj) { return obj. BookID.GetHashCode(); } }

Now can send the BookComparer class in the Union extension method to get the accurate results.

BookList _1.Add(new BookClass { BookID = 1001, BookName = “The Writer” }); BookList _1.Add(new BookClass { BookID = 1002, BookName = ” Success ” }); BookList _1.Add(new BookClass { BookID = 1003, BookName = “Life Secret ” }); BookList _2.Add(new BookClass { BookID = 1002, BookName = “Success” }); BookList _3.Add(new BookClass { BookID = 1005, BookName = “Team Lead ” }); var _resultUnion = BookList _1.Union(BookList _2, new BookComparer()); foreach (BookClass res in _resultUnion) Console.WriteLine(res. BookName);

The result will be” The Writer, Success, Life Secret, Team Lead,” it returns only the unique elements from the collection, in which it removes the repeated elements.

Example

Code:

using System; using System.Collections.Generic; using System.Linq; using System.Text; using System.Threading.Tasks; namespace Console_LINQUnion { class Linq_Union { internal class DoctorClass { public int DoctorID { get; set; } public string DoctorName { get; set; } } { public bool Equals(DoctorClass a, DoctorClass b) { if(a.DoctorID==b.DoctorID&&b.DoctorName.ToLower()==b.DoctorName.ToLower()) { return true; } return false; } public int GetHashCode(DoctorClass obj) { return obj.DoctorID.GetHashCode(); } } public class Program { public static void Main(string[] args) { DoctorList_1.Add(new DoctorClass { DoctorID = 1001, DoctorName = "Smith" }); DoctorList_1.Add(new DoctorClass { DoctorID = 1002, DoctorName = "Rio" }); DoctorList_1.Add(new DoctorClass { DoctorID = 1003, DoctorName = "Dev" }); DoctorList_1.Add(new DoctorClass { DoctorID = 1004, DoctorName = "Jack" }); DoctorList_1.Add(new DoctorClass { DoctorID = 1005, DoctorName = "Ricky" }); DoctorList_2.Add(new DoctorClass { DoctorID = 1002, DoctorName = "Rio" }); DoctorList_2.Add(new DoctorClass { DoctorID = 1003, DoctorName = "Dev" }); DoctorList_2.Add(new DoctorClass { DoctorID = 1007, DoctorName = "Peter" }); DoctorList_2.Add(new DoctorClass { DoctorID = 1009, DoctorName = "Raj" }); DoctorList_2.Add(new DoctorClass { DoctorID = 1001, DoctorName = "Smith" }); var _resultUnion = DoctorList_1.Union(DoctorList_2, new DoctorComparer()); Console.WriteLine("USING LINQ-UNION WITH IEqualityComparer"); Console.WriteLine("List of Unique Doctor-Namesn"); foreach (DoctorClass val in _resultUnion) Console.WriteLine(val.DoctorName); Console.ReadLine(); } } } }

Output:

Conclusion

The article LINQ Union essentially used to combine the collection of elements and returns distinct elements; as a result, when working on complex types of huge data, we need to implement the IEqualityComparer Interface. I hope the article helps out without any doubt by seeing the examples programmatically.

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Quick Glance On Mysql Lowercase

Introduction to MySQL LOWERCASE

The following article provides an outline for MySQL LOWERCASE. To convert the string to lowercase, we can do it by using the LOWERCASE function. The LOWERCASE has one argument which will accept the string and convert it into the lower case. The function used for the above functionality is LOWER() or LCASE(). Binary, BLOB, and Varbinary are binary string data; these are ineffective when applied to the LOWER() function. To pass such data, we first convert the string to a non-binary string.

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Syntax:

The syntax for the LOWERCASE function is as below:

Or

How does MySQL LOWERCASE work?

Code:

SELECT LOWER ( 'HI . . . WORLD' ) AS MESSAGE;

Output:

Code:

SELECT LCASE( 'HI . . . WORLD' ) AS MESSAGE;

Output:

Now let us create a table and apply the LOWER () function:

Code:

CREATE TABLE LOWERCASE_DEMO ( ID INT, UPPERCASE_VALUE VARCHAR(15) );

Now let us insert data into the table:

Code:

INSERT INTO LOWERCASE_DEMO VALUES ( 1, 'BE INDEPENDENT'); INSERT INTO LOWERCASE_DEMO VALUES ( 2, 'BE CONFIDENT'); INSERT INTO LOWERCASE_DEMO VALUES ( 3, 'BE YOU'); INSERT INTO LOWERCASE_DEMO VALUES ( 4, 'BE POSITIVE'); INSERT INTO LOWERCASE_DEMO VALUES ( 5, 'BE REAL'); INSERT INTO LOWERCASE_DEMO VALUES ( 6, 'BE KIND'); INSERT INTO LOWERCASE_DEMO VALUES ( 7, 'BE GENEROUS'); INSERT INTO LOWERCASE_DEMO VALUES ( 8, 'BE FAMOUS'); INSERT INTO LOWERCASE_DEMO VALUES ( 9, 'YOU GOT THIS !!');

Now let us select the data from the table without applying the LOWER function. The output would be as below—screenshot for the same. Here we can see that the column ‘UPPERCASE_VALUE’ data is in upper case. We use the LOWER and LCASE functions to convert the characters into the LOWER cases.

Code:

select * from LOWERCASE_DEMO;

Output:

Now let us see the LOWER function and LCASE function:

Code:

SELECT *, LOWER ( UPPERCASE_VALUE) AS LOWER_VALUE, LCASE ( UPPERCASE_VALUE) AS LCASE_VALUE FROM LOWERCASE_DEMO;

In the above select statement, we could see that instead of ‘string expression’, we have specified the ‘column name.’ Which will convert the column values from upper case to lower case as below. The LOWER function or LCASE function achieves this.

Examples of MySQL LOWERCASE

Given below are the examples of MySQL LOWERCASE:

Example #1

Now let us see how the LOWER () function works individually and in the table.

Multiple cases in one string output also give lower case using the LOWER function.

Code:

SELECT LOWER( 'Hi . . . world QwErTy' ) AS MESSAGE;

Output:

Code:

SELECT LCASE ( 'Hi . . . world QwErTy' ) AS MESSAGE;

Output:

Example #2

Let us see another example for the LOWER and LCASE functions below.

CREATE TABLE COLLEGEDATA ( COLLEGE_ID INT, COLLEGE_NAME VARCHAR(50), NO_OF_STUDENTS INT, LOCATION VARCHAR(20) );

The below data is inserted into the above table:

Code:

INSERT INTO COLLEGEDATA VALUES (1890, 'Narayana pvt college', 700000, 'Hyderabad'); INSERT INTO COLLEGEDATA VALUES (2890, 'St.Josephpvt college', 560000, 'Kerala'); INSERT INTO COLLEGEDATA VALUES (3890, 'Private Plan pvt college', 230000, 'Hyderabad'); INSERT INTO COLLEGEDATA VALUES (4890, 'Chorniclepvt college', 60000, 'Maharastra'); INSERT INTO COLLEGEDATA VALUES (5890, 'Number one pvt college', 780000, 'Hyderabad'); INSERT INTO COLLEGEDATA VALUES (6890, 'Startuppvt college', 500000, 'Uttar Pradesh');

Select the data from the above table, and the rows look as below:

Code:

SELECT * FROM COLLEGEDATA;

Now let us select the data from the table without applying the LOWER function.

Output:

Let us apply the LOWER and LCASE functions:

Code:

SELECT COLLEGE_NAME,LOWER(COLLEGE_NAME),LCASE(COLLEGE_NAME) ,LOCATION , LOWER(LOCATION) , LCASE(LOCATION)  FROM COLLEGEDATA;

Here we can see that the column ‘COLUMN_NAME’ data is in upper case. We use the LOWER and LCASE functions to convert the characters into the LOWER issues.

Output:

Conclusion

To convert the string to lowercase, we can do it by using the LOWER CASE function. The LOWERCASE has one argument which will accept the string and convert it into the lower case. The function used for the above functionality is LOWER () or LCASE (). Binary, BLOB, and VARBINARY are types of binary string data. However, applying the LOWER() function to these data types is ineffective. To pass such data, we first convert the string to a non-binary string.

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Guide To Regexp_Replace() In Mysql

Definition of MySQL REGEXP_REPLACE()

REGEXP_REPLACE() operator is used in the SELECT query to replace the matched sub-string. This operator searches for the regular expression, identifies it, replaces the pattern with the sub-string provided explicitly in the query, and returns the output with the updated sub-string. Users rarely use this function, but it significantly impacts when utilized. You can replace the sub-string as a whole, at a specified position, or within an array. In this article, we will discuss MySQL REGEXP_REPLACE() in detail, and also, we can discuss in detail the syntax and the use in the following portions.

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Syntax

Simplest syntax for REGEXP_REPLACE() function is as follows:

REGEXP_REPLACE(exp, pat, repl);

The program searches for the regular expression “pat” in the string “exp” and replaces it with the sub-string “a reply.”

SELECT REGEXP_REPLACE(exp, pat, repl);

A further detailed syntax for REGEXP_REPLACE() is as follows:

REGEXP_REPLACE(exp, pat, repl [, pos[, occurrence[, match_type]]]);

In this, the pos, pat, and repl are optional arguments. Pos is the position in the string where the search will be performed. The query can omit this, causing the search to start at the first character. The specific occurrence of the expression that should be replaced is specified by the ‘occurrence’ parameter. If omitted, it will result in the replacement of all occurrences of the expression. The ‘match_type’ parameter determines the method to be used for matching.

We can now look at the practical examples of the REGEXP_REPLACE() operator.

How does REGEXP_REPLACE() work in MySQL?

Consider the string below:

[email protected] ='I am robot. I can read, write and process.'; select @original;

The string has data as ‘I am robot. I can read, write, and process.’. This is our test string, where we will work on the different REPLACE() operations.

Query 1 SELECT @original, REGEXP_REPLACE(@original , 'robot', 'Human');

Output:

The query aims to search the string for the sub-string ‘robot’, replace it with ‘Human’, and return the updated string. The ‘string’ will be searched using a regular expression. In this case, the variable ‘exp’ represents the string to be searched, ‘pat’ represents the pattern to be searched (sub-string ‘robot’), and ‘rep’ represents the replacing sub-string ‘Human’.

In the output, the sub-string ‘robot’ is replaced with ‘Human’, and the SELECT query returns the updated string as ‘I am Human’. I can read, write, and process.’

Query 2

Let’s now write the query to replace multiple occurrences of a sub-string with the same replacing expression.

SELECT @original, REGEXP_REPLACE(@original , 'I', 'i');

The expected output is to replace all upper case ‘I’ to lower case ‘i’ in the string. Though we have mentioned this only once in our query, the upper case ‘I’ appears twice in the string.

Output:

The output demonstrates that the upper case ‘I’ is replaced with a lower case ‘i’.

Query 3

The replacing function will return a null value if the string’s sub-string (expression) is absent. The query to validate that scenario will be as follows:

SELECT @original, REGEXP_REPLACE(@original , 'and', 'also');

Output:

We discussed the optional arguments of REPLACE() function. Let’s see how to use them in practical scenarios. Let’s consider the original string to be as below:

set @original ='Table Chair Light Table Switch Fan Table'; Query 4

We can see the use of position argument.

SELECT @original, REGEXP_REPLACE(@original , 'Table', '*****', 2);

The query is to return the string updated from the second position of the sub-string ‘Table’ replaced by ‘*****’.

Output:

We had the sub-string ‘Table’ three times in the original string. The query returned the first sub-string of ‘Table’ as is and replaced the second and third sub-strings as ‘*****’.

Query 5

The above query replaced all occurrences of the specified sub-strings from a particular position. Instead, let us see how to replace only one sub-string ‘Table’ event from the original string.

The expected query result is the string with only the second occurrence of the sub-string ‘Table’ replaced by ‘*****’. The counting of sub-strings starts from the first position.

Output:

The same query can give a different output if we change the position of the occurrence count.

The output will update the second occurrence of ‘Table’ from the second position. Or change the occurrence count as below:

The output will update the first occurrence of ‘Table’ from the first position.

Finally, let’s explore the match_type argument. There are several characters in this argument. They are

 ‘c’ – this will enable a case-sensitive matching

 ‘i’ – this will enable a case-insensitive matching

‘m’ – this will identify where the line is terminated

‘ n’ – this will identify the line terminators ‘.’.

Query 6

The expected query result includes three cases where the pattern to be searched is ‘table’ in all lowercase characters.

The original string with three occurrences of the sub-string ‘table’.

To obtain a case-sensitive result, you should replace the second occurrence of the sub-string ‘table’ with ‘*****’. This will not replace the sub-string because the original string has a ‘Table’ sub-string with an upper case ‘T’.

To achieve a case-insensitive result, the second occurrence of the sub-string ‘table’ should be replaced by ‘*****’. This string portion will update the sub-string ‘table’ with ‘*****’.

Output:

The output will have the case insensitive result field with ‘table’ replaced by ‘*****’.

Conclusion – MySQL REGEXP_REPLACE()

This chapter has discussed different options for using REGEXP_REPLACE() function. The function, as discussed, replaces the regular expression with the sub-string specified in the SELECT query.

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Nft Vs Screenshot: All About Having The Certificate Of Ownership

NFT vs screenshot: All about having the certificate of ownership

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NFTs have taken the world by storm in the last few years, with the costliest one fetching around $69 million. This gives rise to another trending topic, NFT vs screenshot.

Many believe that when you can just copy, download or screenshot an NFT, what’s actually the point in buying it.

Also, find out if you can create NFT and sell it on the web.

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INSTALL BY CLICKING THE DOWNLOAD FILE

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Download Fortect and install it on your PC.

Start the tool’s scanning process to look for corrupt files that are the source of your problem

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readers this month.

Note that NFTs can be anything digital, be it artwork, an image, a video, or even an article. People usually trade these using cryptocurrency, though that’s not always the case. There are various websites that sell NFTs, OpenSea being one of the most popular.

So let’s delve into the concept and understand the whole NFT vs screenshot debate, along with how sustainable the whole idea of NFT is.

What is the difference between a fungible and non-fungible token?

When you say something is fungible, it basically means that it can be traded for another similar item. For instance, a $10 bill can be traded for another $10 bill, or a bitcoin can be traded for another since both these items have the exact same value.

In blockchain technology, cryptocurrencies are the prime example of fungible items. For non-tech readers, stocks, are a good example.

On the other hand, non-fungible tokens are those that cannot be exchanged since each have their own intrinsic value. The NFTs fall under this category. Even a baseball card or anything that’s collectible doesn’t have an identical item to be exchanged with.

But, being non-fungible in no way indicates that these cannot be sold or resold. All it means is that these are unique and there’s nothing like them out there.

Also, there can be copies of NFTs. If there are just 10 copies, it could be a rare one and fetch a good price, while those with thousand or so copies certainly won’t be as valuable. These copies that we are referring to have nothing to do with the NFT vs screenshot thing.

What is the craze around NFTs?

By now, you already know that an NFT carries a certain value since it’s unique or one of a kind. But, anyone could copy the image or video. What actually makes it unique and valuable is the proof of ownership.

Anyone who buys an NFT gets a certificate of ownership that can be stored in a digital wallet. Along with that, the exchange is recorded on the blockchain. Though make sure that your wallet supports NFTs before going ahead with the purchase.

Many believe that NFTs are a great way of purchasing digital art. Many do it to support young talents, some as a hobby, while others take it as an investment.

For instance, an NFT that goes by the name Gucci Ghost was initially listed at $200 and after passing through several owners, it was last purchased at $3600 and is currently available for $16300.

Gucci Ghost NFT (.jpeg) – Source: NiftyGateway

The costliest NFT to be sold to date remains at $69.3 million, created by an artist who goes by the name Beeple. It’s a collection or collage of no less than 5000 digital images, one created each day from 2007 to 2023.

Expert tip:

You should now have a fair understanding of how the whole NFT thing works, and the craze for it amongst people. Let’s now walk you through the main topic, NFT vs screenshot, and if the latter is as valuable as the former?

Is a screenshot as valuable as the NFT?

But, here’s the catch! While you have the screenshot or a copy of the digital art, you don’t have the certificate of ownership. And, that is what matters.

You can’t really sell a screenshot since any buyer would demand the ownership proof as well. Also, how an NFT has been traded in the past can be checked on multiple websites. So anyone can easily distinguish a screenshot from the original NFT.

That should put an end to the NFT vs screenshot debate and help clear the air around the subject.

Can I create my own NFT?

Yes, you can! Anyone can create an NFT, list it on any of the specialized platforms, and sell it. But there’s a fee involved here, also referred to as gas.

Every interaction on a blockchain has to be verified and it’s done by some high-powered systems which cost you a small fee. Be it minting the NFT, purchasing, or selling it on the blockchain, each of these will require you to pay a certain fee, which is variable.

Besides, there’s no guarantee that your NFT would actually be purchased, and you might end up just spending without any returns. So, make sure you do thorough research before you get into creating, selling, or buying NFTs.

However, there are some platforms that allow you to create as well as list an NFT for free, and only charge you when it’s sold. Do check out those as well.

That’s all there is to NFT vs screenshot, and now you know why the latter has almost no value when compared with the former.

Also, if you are into cryptocurrency, check out the best security software for safer crypto-trading.

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