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Turnitin is a well-known tool used by educators to check for plagiarism in student papers. The program scans submitted papers and compares them to its extensive database of existing content to determine if any passages match, flagging these areas as potential plagiarism. Recently, Turnitin has added “AI detection capabilities” to its repertoire, which allows it to identify the use of AI writing tools with a high degree of accuracy. This development is significant because it means that educators can now detect if students are using AI-powered writing tools, such as ChatGPT, to complete assignments.

Turnitin can now detect AI-generated writing, including that created with tools like ChatGPT, with 98% accuracy. While ChatGPT is meant to mimic human conversation, Turnitin’s technology can distinguish unique AI-generated patterns. However, there are conflicting reports about the accuracy of Turnitin’s detection of ChatGPT online.

ChatGPT, an AI language model, is one such tool that has gained popularity in recent years due to its ability to generate high-quality text. ChatGPT uses a machine learning algorithm that has been trained on massive amounts of data to predict and generate text based on the patterns it has learned. This technology can be helpful for students to gain insights, inspiration, and ideas when writing papers. However, when used improperly, it can lead to plagiarism issues.

See More: How to Write Your Cover Letter Using ChatGPT

The addition of AI detection capabilities by Turnitin is a crucial development in the field of education. The AI detector can evaluate the number of sentences in a written submission that may have been generated by AI writing tools such as ChatGPT, with a high degree of accuracy, making it a valuable tool for educators to check the authenticity of student work. While anecdotal evidence on social media platforms suggests that Turnitin’s AI detector has mixed results in identifying ChatGPT-generated content, it is essential to recognize that AI technology is continually evolving and improving, and its detection capabilities will only get better over time.

It is also crucial to note that while AI-powered writing tools can provide valuable insights and perspectives to students, they should not be relied upon solely for writing assignments. Students should continue to learn and develop their own writing skills, use AI writing tools as a supplement, and give proper attribution for any ideas or information they have gathered from external sources.

Turnitin’s AI detection capabilities can detect AI-assisted writing and AI writing generated by tools such as ChatGPT[1]. The AI writing indicator added to the Similarity Report shows an overall percentage of the document that may have been AI-generated with 98% confidence based on data collected and verified in Turnitin’s AI Innovation Lab. The AI writing report contains the overall percentage of prose sentences contained in a long-form writing format within the submitted document that Turnitin’s model determines was generated by AI, and these sentences are highlighted in blue on the submission text in the AI writing report. Turnitin’s technology has high accuracy and low false positive rates when detecting AI-generated text in student writing.

In conclusion, Turnitin’s AI detection capabilities have significantly improved its ability to identify the use of AI writing tools, including ChatGPT, in student papers. While there may be limitations to its effectiveness, it is still an important tool for educators to ensure academic integrity and prevent plagiarism. Students should continue to develop their writing skills, use AI writing tools responsibly, and give proper attribution when using external sources to avoid potential plagiarism issues.

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What Is Chatgpt And How Does It Work?

ChatGPT doesn’t have the same frustrating limits as a traditional chatbot.

On the other hand, ChatGPT rarely ever admits defeat — it can handle open-ended questions and doesn’t respond with generic replies. ChatGPT is one of the most famous examples of generative AI, a cutting-edge subfield of artificial intelligence. As I’ll show you later in this post, it can summarize long documents, write simple computer programs, and simplify difficult-to-understand concepts. All of this stems from ChatGPT’s ability to predict words and form sentences. But how does it work? Let me break it down.

How does ChatGPT work?

Since 2024, OpenAI has developed many generations of large language models, with the most recent one called GPT-4. The base version of ChatGPT, meanwhile, is based on an improved version of the slightly older GPT-3 model. You may also hear of ChatGPT referred to as GPT-3.5.

OpenAI hired human trainers to come up with examples of good responses and fine-tune ChatGPT’s behavior.

In supervised learning, OpenAI’s employees played both sides of the conversation — they would write a prompt and also provide an ideal response from the chatbot’s perspective. With thousands of such examples, the model was eventually trained on human-like dialogue.

Finally, in the reinforcement training stage, the trainers collected a number of chatbot-generated responses and rated them based on their quality. The model could now predict which words and responses appealed the most to a human.

What can you do with ChatGPT?

Here are a handful of sample prompts you can enter into ChatGPT. I’ve also put together a list of the best ChatGPT prompts if you’re looking for some more in-depth examples.

Draft an email to someone important

Calvin Wankhede / Android Authority

In a hurry and need to write a formal email to your colleagues or boss? ChatGPT can help with that. With just a single line prompt, it generates a full email that’s nearly ready to send. What’s more, if you don’t like it, you can type another prompt asking for specific changes.

Explain a historical event

Calvin Wankhede / Android Authority

If you want a quick summary of a particular event in history, ChatGPT can provide it with the right prompt. However, keep in mind that OpenAI doesn’t let you use the tool to generate political thoughts so you might not always get an answer, especially on controversial topics.

Write a short story or poetry in a particular style

Calvin Wankhede / Android Authority

You can ask ChatGPT to write poetry like Shakespeare on any subject of your choice. Or a speech in a public figure’s distinct style. The possibilities are endless.

Write code to automate routine digital tasks

I asked ChatGPT to write a Python script that pulls random comics from XKCD. I then asked it to help with running and automating the code so I could find a new comic on my desktop each morning. ChatGPT delivered on both fronts. I simply followed the instructions and ran the code — it worked perfectly! I did need to install a Python library first, but ChatGPT helped with instructions for that too.

It’s worth stressing that you can’t expect perfection. ChatGPT may deliver authentic-looking code but it might not always compile. Still, it’s a pretty cool proof-of-concept.

Visit the ChatGPT website.

Enter your first and last name, then verify your phone number. You can opt to receive the verification code via WhatsApp.

Accept the terms and conditions when presented.

Once signed up, simply type your prompts in the text box at the bottom and press enter to send. You should see ChatGPT start responding almost immediately.

FAQs

Yes, ChatGPT is currently free to use in its research preview phase. This may change in the future as OpenAI gathers sufficient data to improve its systems.

ChatGPT was created by OpenAI, a San Francisco-based startup that has raised billions of dollars from Microsoft and other investors.

Microsoft has invested billions of dollars in OpenAI but does not completely own OpenAI. According to some reports, Microsoft will receive 75% of the company’s profits until it recoups its initial multi-billion dollar investment. After that, it will retain a 49% stake in the startup.

Elon Musk was a founding member of OpenAI, but he stepped down as chairman of the board in 2023. At the time, he cited a potential conflict of interest between his roles at OpenAI and Tesla. In December 2023, Musk paused OpenAI’s access to the Twitter database and expressed concerns over its revenue plans going forward.

How To Detect And Clean Malware From A Linux Server With Maldet

Malware is a malicious software whose goal is to disrupt the smooth and normal operation of a computer system or server, collect private information or just gain unauthorized access to the system/server. Linux systems are known to have few malicious software compared to Windows, but that doesn’t mean Linux users should be at ease.

Most attacks on Linux are aimed at exploiting bugs in services like java containers and browsers, and its main aim is to change how the targeted service works and sometimes shut it completely.

One of the most dangerous attacks on a Linux system is when an attacker tries to get a user’s login credentials. When this is successful, the hacker can run anything they want and have access to confidential data. They can also attack other machines connected to the Linux server. To combat this, users can use Maldet to detect and clean malware from Linux and keep their systems clean.

Linux Malware Detect

Maldet is also known as the Linux Malware Detect (LMD). It is a Linux malware scanner that was developed to handle threats that are common with shared hosted environments. It uses threat data from network edge intrusion detection systems to extract malware that is actively being used in attacks and generates signatures for detection. While it sounds complicated, it is easy to use.

Installing Maldet

Open a terminal and run the command below to download the application:

Unpack the downloaded archive file using the command below:

tar

-xvf

chúng tôi the active folder to the folder containing the extracted maldetect file:

cd

maldetect-x.y

“x.y” is the version number of the application. In this folder there is the “install.sh” script. The next step is to run the script using the following command:

If the installation is successful, you will be notified. You will also be told where Maldet was installed. In my case it was installed as “/usr/local/maldetect.”

Configuration

After Maldet is installed, a configuration file is created in the Maldet directory called “conf.maldet.” To edit it, open it using a text editor.

gksu gedit

/

usr

/

local

/

maldetect

/

conf.maldet

Or you can use “nano” or “vi” to edit it in the terminal:

sudo

nano

/

usr

/

local

/

maldetect

/

conf.maldet

Below is an example of options that may be set:

Email notification

Receive an email notification when malware is detected.

Set “email_alert” to 1.

Add your email address to the “email_addr” option.

Change the “email_ignore_clean” to 1. This is used to ignore alerts being sent to you when malware is automatically cleaned.

Quarantine options

Actions to be taken when malware is detected:

Set the “quarantine_hits” to 1 for the affected files to be automatically quarantined.

Set the “quarantine_clean” to 1 to automatically clean the affected files. Setting this to 0 allows you to first inspect the files before cleaning them.

Setting “quarantine_suspend_user” to 1 will suspend users whose accounts are affected, while the “quarantine_suspend_user_minuid” sets the minimum user id to be suspended. This is set to 500 by default but can be changed.

There are many other configuration options that you can go through and make the necessary changes. Once you are done with configuration, save and close the file.

Scanning Malware

You can run a basic scan manually or automate a scan to take place periodically.

To run a scan, run the following command:

When this command is run, a list of files is built from the directories in the path and scanning of the files starts. Change the file path “/folders/to/scan” to the directory where you want Maldet to scan. After scanning, a report is generated and you can then see which files are affected.

How to Quarantine Affected Files

If you set the “quarantine_hits” to 1, Maldet will automatically move the affected files to quarantine. When it is set to 0, the generated report shows you the location of the affected files. You can then inspect the files and decide whether to clean them or not.

Restoring a File

Sometimes you might have a false positive leading to a file being quarantined for the wrong reason. To restore such a file, run the following command:

sudo

maldet –restore FILENAME Automatic Scan

During the installation of Maldet, a cronjob feature is also installed at “/etc/cron.daily/maldet.” This will scan the home directories as well as any files/folders that were recently changed on a daily basis. It will always notify you of any malware through the email address in the configuration file.

Conclusion

Many people are saying that Linux systems are immune to malware, but that is not true. You can be tricked into installing malicious software, or malware can even be spread through emails, and this would cause damage to your system. There are also many other vulnerabilities where hackers try to gain unauthorized access, making the system insecure. To stay safe, you can use Maldet to keep your system clean. Other measures that you can take include setting up network monitoring and firewall rules among others.

Jackson Mwendwa

I am an intelligent and presentable individual with a degree in Computer Science and over four years experience in Management, Software Development, Information Technology Support and Tech article/tutorial writing. I possess a fresh, modern approach to the industry, employing creative and enthusiastic methods to problem-solving and would like to realize my full potential through practice, effectiveness, and innovation.

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How Does An Nft Work?

Online space is abuzz with talk of NFTs. However, as is the case with any new thing, especially when it involves the transfer of money and property, digital or physical, non-fungible tokens operate in a sphere that may seem foggy and confusing to those on the outside.

Whenever there is an explosion of cryptocurrency news, most people tend to wait until the hype subsides to see if there was any real substance propelling the whole thing forward. But the nature of the NFT phenomenon warrants some understanding, for, chances are that you may be able to benefit from it, or, at the least, understand what impact it can have on our lives.

Here are the basics of how an NFT works, and what the craze is all about. 

Related: 10 Weirdest NFT Crypto Art For Sale Right Now

NFT characteristics

Non-Fungible Tokens are assets that correspond to a physical or digital item that is unique and is set apart by others of its kind. Owning an NFT is not unlike owning a collectible or an artwork. There is a wide class of NFTs, like paintings, music, Pokemon cards, and even tweets. And just about anything in the world can come under this umbrella. 

Other than being a one-of-a-kind entity, NFTs are also indestructible. This is because all of their data is stored on a blockchain which makes copying or destroying them (almost) impossible. On top of that, when you own an NFT, it is you who actually owns it, not the companies that created them. This is unlike the music that you listen to on Spotify or iTunes, or the games you get on Steam, which you don’t own per se. 

And because NFT ownership data is stored on the blockchain, the items can be traced back to the creator allowing easy authentication without involving a third-party. So, there’s never a dispute over ownership of the material. 

The Importance of NFTs

The boom in NFTs is tied to cryptocurrency users and the potential for a revolution in the digital collectibles and gaming space. In fact, a whopping $423 million have been spent on NFTs so far, a number that is only set to grow exponentially in the coming weeks and months. 

The growth can be attributed to the blockchain technology behind it since it gives owners full rights to their unique assets (and even gives them the opportunity to make money off of it). In fact, people also sell digital merchandise that they acquire in-game such as decals, stickers, costumes, and game currency on other markets.

But artists stand to gain the most from NFTs, or so it’s been claimed by NFT proponents. The most popular instance of this is Grimes, who sold her digital art for $6 million as NFTs. Of course, this is an extreme example and only artists that have already made it big can bag such huge sums of money from die-hard ostensibly rich fans.

But those who want to support local artists can do so with NFTs as well. Their artwork can be sold digitally to anyone anywhere in the world, without having to go to a gallery or an auction house. Furthermore, this allows them to keep a much higher profit-share from the sales. On top of that, NFTs can have royalties programmed within them, allowing the creator to receive a cut of the profit every time the artwork changes hands.  

Related: How to Make and Sell NFT Art

How do they work?

Most NFTs are part of the Ethereum blockchain and though Ethereum is a cryptocurrency, its blockchain also stores information about NFTs, which differentiates them from the ETH coin. Most of the NFT tokens are built using Ethereum token blueprints for easy compatibility with the ecosystem as a whole. But Ethereum isn’t the only blockchain to host NFTs. There are many other blockchains that have also started implementing their own NFT token standards, such as Tron, Neo, and Eos. 

There are dozens of NFT markets where you can purchase everything from rare artworks to NBA top shot clips, games, and other collectibles. A happy buyer needs only to go to the marketplace, find something worth splurging on, and bid. A creator can also submit their NFTs for others to purchase. All transactional history is kept secure thanks to the publically accessible blockchain technology.  

What makes NFTs valuable?

As is the case with any market asset, NFTs derive their value from supply and demand. The reason why some people pay such exorbitant amounts is that NFTs are in short supply, while the demand is extremely high, especially from gamers, investors, collectors, and fans. 

But NFTs are not just dead things that you buy and horde for the rest of your life. Some of them have the potential to generate profit for their owners. For instance, one investor spent more than $200,000 on a single segment of a racing track in the game F1 Delta Time which will generate 5% profit from all races that take place on it. 

NFT uses

Though still in its infancy, there is a broad range of NFT uses that could simplify ownership authentication controversies. For instance, we all can have digital as well as printed copies of Van Gogh’s Starry Night, but there is only a single original. Likewise, though there may be multiple copies of a piece of art (painting, music, etc.), only the person that has its token owns it. All the usage (as well as bragging) rights lie with that person. 

In the future, there could also be an integration between the physical and the virtual space through NFTs. Nowadays, when you buy a physical piece of art, you either have its custody or you get to keep it somewhere. But these can also be tokenized so that their digital forms also exist. Whoever owns the token, owns that physical, tangible, art as well.  

The Nifty craze

There is no telling where the nifty (as NFTs are sometimes called) craze is headed. From people spending hundreds of dollars on CryptoKitties, to entire albums being produced through NFTs (case in point – When You See Yourself by Kings of Leon who have generated $2 million from the sales so far) – who knew NFTs would take on such a massive life of their own. 

Nifty enthusiasts find it exciting to say that they own this or that unique piece of art (and potentially make money from reselling it), but how long can this bubble last? The sales are growing exponentially with each passing week and there’s doesn’t seem to be an end in sight. 

There are other concerns as well. Blockchain technologies use up a lot of electricity per transaction, and since NFTs use the same transaction framework, the increasing number of transactions is definitely going to have an impact on the environment. Many artists have even decided to not sell their NFTs after hearing about the detrimental effects that NFT transactions could have on climate change. 

Climate change will be irreversible once Pokemon releases NFTs

— Zach Leffers (@ZachLeffers) March 10, 2023

These are the basics of how NFTs work. Whether this is capitalism on steroids or the harbinger of doom, only time will tell. But at least you’re now informed.  

Related:

How Does Squeeze Matlab Works

Introduction to Squeeze Matlab

The ‘Squeeze’ command in Matlab operates like the ‘reshape’ command. As we know, reshape is used to change or modify the size or dimensions of arrays or vectors, or multidimensional matrix. Similarly, the squeeze is also used to reshape arrays, vectors, and multidimensional matrix dimensions. The only difference between reshaping and squeeze is that reshape operates according to the user’s given parameters and dimensions. Still, the squeeze is used to remove singleton dimensions of the matrix. Thus, it directly eliminates the singleton dimensions and adjusts the elements accordingly.

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Syntax:

1. Output = squeeze ( input )

output variable name = squeeze (input variable name)

2. size ( input)

size (output)

size ( variable name ) # to observe changes in dimensions.

How does Squeeze Matlab Work?

The squeeze function works on the dimensions of the multidimensional matrix. It ignores or eliminates the singleton dimension of the input matrix. It squeezes changes in shape or dimensions of input but does not change the values of elements, meaning it stores the data as it is. To use this function, first, we need to assign one multi-dimensional matrix with singleton dimensions .then we can apply the squeeze function to input using the above syntax. After getting the output, we cannot observe the changes because the elements will look as it is. Therefore to check the changes in output, we need to check the size of the input and the size of the output. It will be different in input and output.

Examples of Squeeze Matlab

Different examples are mentioned below:

Example #1

In this example, we have considered one input in the form of a multi-dimensional matrix as variable ‘input.’ the dimensions of the matrix are two by three by one by two. In this example, dimensions represent two rows and three columns with two different random matrices. Here ‘rand’ represents random elements of the matrix. If we observe the output of example 1, then elements of input and output are the same, but the shape or we can size of matrices is different. The size of the input is ( 2, 3, 1, 2 ), and the size of the output is ( 2, 3, 2 ). That means squeeze eliminates dimension one from the input.

clc ; clear all ; input = rand(2, 3,1,2) size ( input ) output = squeeze (input) size (output )

Output:

Example #2

In Example 2, we assume one more random multidimensional matrix with dimensions four by one by three by two. Thus, there are four rows and one column with three multidimensional matrices. If we observe the output, it eliminates the singleton dimension, and the size of the new matrix will be (4, 3, 2 ), meaning there will be four rows and three columns with two different matrices.

Code:

clc ; clear all ; input = rand (4, 1, 3, 2 ) size ( input ) output = squeeze ( input ) size ( output )

Output:

Example #3

In this example, we considered more dimensions in the input matrix with two singleton dimensions. Thus, the dimensions of the input matrix are two by three by one by seven by one by two ( 2, 3, 1, 7, 1, 2 ). If we observe the output, both the singleton dimensions are removed, and a new matrix size becomes ( 2, 3, 7, 2). there will be two rows and three columns with seven different matrices.

Code:

clc ; clear all ; input = rand ( 2, 3, 1 , 7, 1, 2 ) size ( input ) output = squeeze ( input ) size ( output)

Output:

Conclusion

The squeeze function is important because it changes the dimension but does not ignore the data or elements of the matrix. That means there is no loss of information. As we observe in the above example, some dimensions are logically useless while implemented. Still, unnecessary if it occupies storage, so with the help of this function, we can directly ignore the singleton dimension.

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How Does Mysql Partitioning Works?

Introduction of MySQL Partitioning

MySQL Partitioning is used to improve performance and reduce the cost of storing large data. By partitioning, we are splitting the tables, indexes, and index-organized tables into smaller pieces by which queries can run faster. The partitioning can be done in two major forms:

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Hadoop, Data Science, Statistics & others

Horizontal Partitioning

Vertical Partitioning.

Horizontal partitioning is a partition that will divide the table rows into multiple partitions. It doesn’t have any attribute missing in the partitions. Vertical partitioning is to partition a table row into various partitions.

In vertical partitioning, the most referenced columns in one table and the rest of the columns that are not frequently referenced will be stored in another partition. Partition support has to be provided to MySQL. To enable, we do it by option DWITH_PARTITION_STORAGE_ENGINE.

Syntax of MySQL Partitioning

The partition options are specified below: –

partition_options:

PARTITION BY { [LINEAR] HASH(expr) | [LINEAR] KEY(column_list) | RANGE(expr) | LIST(expr) } [PARTITIONS num] [SUBPARTITION BY { [LINEAR] HASH(expr) | [LINEAR] KEY(column_list) } [SUBPARTITIONS num] ] Types of Partitioning

Different Partition types are mentioned below: –

LIST Partitioning

RANGE Partitioning

COLUMNS Partitioning

HASH Partitioning

KEY Partitioning

Sub partitioning

Now let us see in detail the partitions: –

1. LIST Partitioning

LIST Partitioning allows data partitioning based on the values defined at the table creation time.

Syntax:

( . . )

2. RANGE Partitioning

RANGE Partitioning allows the partition of the data based on the RANGE. The specified RANGE should be contiguous.

Syntax: 

( . . )

3. COLUMN Partitioning

COLUMN Partitioning can be done based on multiple columns. Therefore, we have two types of COLUMN Partitioning.

RANGE COLUMNS Partitioning and

LIST COLUMNS Partitioning.

Range Columns

It is similar to the RANGE partition. Here RANGE COLUMNS accepts a list of one or more columns as the partition key.

Syntax:

( . . )

List Columns

It is similar to the LIST partition. Here LIST COLUMNS accepts a list of one or more columns as the partition key.

Syntax:

( . . )

4. HASH Partitioning

Here in HASH, Partitioning the partition is done based on the column value and the number of partitions.

Syntax:

5. KEY Partitioning

The KEY Partition is similar to the HASH partition. The MySQL server will do the Hashing function for the key partition.

Syntax:

6. SUB Partitioning

Syntax:

How Does MySQL Partitioning Work?

Now let us see how the partition works in the tables: –

1. RANGE Partitioning

Now let us create the table and see how partition works on it:

Code:

CREATE TABLE MONTHLY_SALES ( SALES_NO INT, SALES_DATE timestamp, CUST_CODE INT, TOTAL_AMOUNT int ) PARTITION BY RANGE( UNIX_TIMESTAMP(SALES_DATE)) ( PARTITION PT1 VALUES LESS THAN (UNIX_TIMESTAMP('2024-04-01')), PARTITION PT2 VALUES LESS THAN (UNIX_TIMESTAMP('2024-05-01')), PARTITION PT3 VALUES LESS THAN (UNIX_TIMESTAMP('2024-06-01')) );

2. LIST Partitioning

Now let us create the table and see how partition works on it:

Code:

CREATE TABLE MONTHLY_SALES_LIST ( SALES_NO INT, SALES_DATE timestamp, CUST_CODE INT, TOTAL_AMOUNT int ) PARTITION BY LIST ( CUST_CODE ) ( PARTITION PT1 VALUES IN( 1,2,3,4 ), PARTITION PT2 VALUES IN ( 5,6,7,8 ), PARTITION PT3 VALUES IN ( 9,10, 11, 12) );

3. RANGE COLUMNS Partitioning

Now let us create the table and see how partition works on it:

Code:

CREATE TABLE SALES_RANGE_COLUMNS ( SALES_NO INT, CUST_CODE INT, SALES_NAME VARCHAR(20) ) PARTITION BY RANGE COLUMNS ( SALES_NO, CUST_CODE, SALES_NAME ) ( PARTITION PT1 VALUES LESS THAN ( 1, 2, 'LUX' ), PARTITION PT2 VALUES LESS THAN ( 2, 4, 'Paper' ), PARTITION PT3 VALUES LESS THAN ( 3, 5, 'Pen' ) );

4. LIST COLUMNS Partitioning

Code:

CREATE TABLE SALES_LIST _COLUMNS ( SALES_NO INT, CUST_CODE INT, SALES_NAME VARCHAR(20) ) PARTITION BY LIST COLUMNS ( SALES_NO ) ( PARTITION PT1 VALUES IN ( 1, 2, 3 ), PARTITION PT2 VALUES IN ( 4, 5, 6 ), PARTITION PT3 VALUES IN ( 7, 8, 9 ) );

5. Key Partition

Now let us create the table and see how partition works on it:

Code:

CREATE TABLE KEY_PARTITION ( ID INT, NAME VARCHAR(10), LOCATION VARCHAR(20) ) PARTITION BY KEY( ID) PARTITIONS 2;

6. HASH Partition

Now let us create the table and see how partition works on it:

Code:

CREATE TABLE MONTHLY_SALES_HASH ( SALES_NO INT, SALES_DATE timestamp, CUST_CODE INT, TOTAL_AMOUNT int ) PARTITION BY HASH ( SALES_NO) PARTITIONS 3;

7. SUB Partitioning

Now let us create the table and see how partition works on it:

Code:

CREATE TABLE MONTHLY_SALES_SUB_PARTITION ( sale_NO INT, sale_date DATE, cust_codeVARCHAR(15), AMOUNT int ) PARTITION BY RANGE(YEAR(sale_date) ) SUBPARTITION BY HASH(TO_DAYS(sale_date)) SUBPARTITIONS 4 ( PARTITION pt0 VALUES LESS THAN (1990), PARTITION pt1 VALUES LESS THAN (2000), PARTITION pt2 VALUES LESS THAN (2010), PARTITION pt3 VALUES LESS THAN MAXVALUE );

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