ChatGPT in SQL Server - Practical examples – SQLServerCentral (2023)

Introduction ChatGPT in SQL Server

In this article, we will learn some basic examples of ChatGPT in SQL Server. In a previous article, we had an interview with ChatGPT an AI chatbot developed by OpenAI. If you do not know how to use it yet, you can go to that article.

We will show some examples of T-SQL code generated by ChatGPT. We will use ChatGPT to generate SQL Server tables with data, and generate T-SQL code to translate the table, column names, and data to other languages. How to split data separated by spaces, create stored procedures based on instructions, and create SQL Logins based on a list separated by commas.Also, we will see some errors and limitations of ChatGPT.Finally, we will talk about pollution. Does ChatGPT produce a lot of pollution?

Let’s start with the questions.

Can you generate the T-SQL code to create a table with all the players' names, teams, and goals of the Spain Football (soccer) league? Also, include the code with real information.

ChatGPT: I can provide an example T-SQL code to create a table with player information for the Spanish football league, commonly known as La Liga. Please note that this is just an example, and the data used here is not necessarily up-to-date or accurate.

--sqlCREATE TABLE LaLigaPlayers (PlayerID INT PRIMARY KEY,PlayerName NVARCHAR(50),TeamName NVARCHAR(50),GoalsScored INT);
INSERT INTO LaLigaPlayers (PlayerID, PlayerName, TeamName, GoalsScored)VALUES(1, 'Lionel Messi', 'FC Barcelona', 20),(2, 'Karim Benzema', 'Real Madrid', 18),(3, 'Luis Suarez', 'Atletico Madrid', 16),(4, 'Gerard Moreno', 'Villarreal CF', 15),(5, 'Youssef En-Nesyri', 'Sevilla FC', 14),(6, 'Mikel Oyarzabal', 'Real Sociedad', 13),(7, 'Iago Aspas', 'RC Celta', 12),(8, 'Alex Berenguer', 'Athletic Bilbao', 11),(9, 'Joselu', 'Deportivo Alaves', 10),(10, 'Roger Marti', 'Levante UD', 9);

This code creates a table named LaLigaPlayers with columns for PlayerID, PlayerName, TeamName, and GoalsScored. It also inserts some example data into the table, with each row representing a player in the league and their corresponding team and goals scored. Again, please note that this is just an example, and the actual data for the league may be different.

Me: It is great because you can easily generate data. This is a sample, but you could get real data of leagues in 1905 or other information in just minutes and create thousands of databases in minutes. However, I was a little disappointed about the small sample of 10 rows when I wanted more players.

Can you add data to that table with the players of Barcelona in 2015?

ChatGPT: Sure! Here's an example T-SQL code to insert data for Barcelona players in 2015 into the LaLigaPlayers table:

--sqlINSERT INTO LaLigaPlayers (PlayerID, PlayerName, TeamName, GoalsScored)VALUES(11, 'Lionel Messi', 'FC Barcelona', 43),(12, 'Luis Suarez', 'FC Barcelona', 16),(13, 'Neymar Jr', 'FC Barcelona', 22),(14, 'Ivan Rakitic', 'FC Barcelona', 7),(15, 'Javier Mascherano', 'FC Barcelona', 1),(16, 'Andres Iniesta', 'FC Barcelona', 3),(17, 'Gerard Pique', 'FC Barcelona', 4),(18, 'Jordi Alba', 'FC Barcelona', 2),(19, 'Sergio Busquets', 'FC Barcelona', 1),(20, 'Claudio Bravo', 'FC Barcelona', 0);

This code inserts 10 rows into the LaLigaPlayers table, each representing a player from FC Barcelona in the 2015 season, along with their corresponding PlayerID, PlayerName, TeamName, and GoalsScored. Again, this is just an example, and the actual data for the team in that season may be different.

Me: Again, just a sample of 10 rows. I will try to insist.

Q. Could you calculate the real ages and add more players instead of just an example?

ChatGPT: Sure, I can modify the code to calculate the real ages of the players and add more players as well. Here's an updated example that calculates the ages of the players based on their date of birth, and inserts additional players:

--sql-- Create LaLigaPlayers tableCREATE TABLE LaLigaPlayers (PlayerID INT PRIMARY KEY,PlayerName NVARCHAR(50) NOT NULL,TeamName NVARCHAR(50) NOT NULL,GoalsScored INT,DateOfBirth DATE);
-- Insert data for Barcelona players in 2015INSERT INTO LaLigaPlayers (PlayerID, PlayerName, TeamName, GoalsScored, DateOfBirth)VALUES(11, 'Lionel Messi', 'FC Barcelona', 43, '1987-06-24'),(12, 'Luis Suarez', 'FC Barcelona', 16, '1987-01-24'),(13, 'Neymar Jr', 'FC Barcelona', 22, '1992-02-05'),(14, 'Ivan Rakitic', 'FC Barcelona', 7, '1988-03-10'),(15, 'Javier Mascherano', 'FC Barcelona', 1, '1984-06-08'),(16, 'Andres Iniesta', 'FC Barcelona', 3, '1984-05-11'),(17, 'Gerard Pique', 'FC Barcelona', 4, '1987-02-02'),(18, 'Jordi Alba', 'FC Barcelona', 2, '1989-03-21'),(19, 'Sergio Busquets', 'FC Barcelona', 1, '1988-07-16'),(20, 'Claudio Bravo', 'FC Barcelona', 0, '1983-04-13'),(21, 'Marc-Andre ter Stegen', 'FC Barcelona', 0, '1992-04-30'),(22, 'Dani Alves', 'FC Barcelona', 3, '1983-05-06'),(23, 'Jeremy Mathieu', 'FC Barcelona', 2, '1983-10-29'),(24, 'Thomas Vermaelen', 'FC Barcelona', 0, '1985-11-14'),(25, 'Douglas Pereira', 'FC Barcelona', 0, '1990-08-06');-- Calculate the age of each playerUPDATE LaLigaPlayersSET Age = DATEDIFF(YEAR, DateOfBirth, GETDATE());-- Display the contents of the LaLigaPlayers tableSELECT * FROM LaLigaPlayers;

This code creates the LaLigaPlayers table, inserts 15 players for FC Barcelona in the 2015 season, and calculates their ages based on their date of birth. The UPDATE statement uses the DATEDIFF function to calculate the difference between each player's date of birth and the current date in years and sets the Age column to that value. Finally, the SELECT statement is used to display the contents of the LaLigaPlayers table.

Me: This is better. It has only 14 players, but I like that it calculates the age and includes the actual birth dates. You can easily create your tables of basketball, baseball leagues, or movies. This ChatGPT has a lot of information. However, it is not displaying all the players.

Can you generate a T-SQL code for a table named countries with all the countries and populations in the world?

ChatGPT: Yes, here is the T-SQL code to create a table named countries with name and population columns:

--sqlCREATE TABLE countries (Country_name nvarchar(100) NOT NULL,population int NOT NULL)

This will create a table with two columns: name for the name of the country and population for the population of the country. You can then populate the table with data using INSERT statements:

INSERT INTO countries (country_name, population)VALUES('China', 1433783686),('India', 1380004385),('United States', 331002651),('Indonesia', 273523615),('Pakistan', 220892340),('Brazil', 210867954),('Nigeria', 206139589),('Bangladesh', 165063758),('Russia', 145934462),('Mexico', 130759074),('Japan', 126451398),('Philippines', 109376023),('Vietnam', 97338579),('Ethiopia', 114963588),('Egypt', 97665000),('Iran', 83992949),('Turkey', 84339067),('Democratic Republic of the Congo', 87753908),('Thailand', 69037513),('Myanmar', 54409800),('South Africa', 59308690),('North Korea', 25778816),('Colombia', 50882891),('France', 67003611),('Tanzania', 59734218),('Kenya', 53771296),('Argentina', 45376763),('Uzbekistan', 33469203),('Malaysia', 32169700),('Yemen', 29825968),('Syria', 18719025),('Morocco', 36296400),('Saudi Arabia', 34713871),('Uganda', 45741007),('Iraq', 40222493),('Peru', 32971854),('Venezuela', 28435940),('Algeria', 43851044),('Mozambique', 31255435),('Angola', 32866272),('Madagascar', 27691018),('Ghana', 31072940),('Cameroon', 26545863),('Côte d''Ivoire', 26378274),('Burkina Faso', 20967865),('Mali', 20250833),('Malawi', 19129952),('Zambia', 18383956),('Zimbabwe', 14862924),('South Sudan', 11193725),('Rwanda', 12952189),('Chad', 16244513),('Guinea', 13132795),('South Africa', 59308690),('Burundi', 11890784),('Sudan', 43849258),('Congo', 5244363),('Senegal', 16743927),('Tunisia', 11818619),('Syria', 18719025),('Equatorial Guinea', 1402985),('Somalia', 15893222),('Cape Verde', 546388),('Central African Republic', 4829767),('Sierra Leone', 7976983),('Greece', 10727668)

ChatGPT in SQL Server - Practical examples – SQLServerCentral (1)

Me: As we said before, it just generates samples of data. However, this can be easily improved.

Translate data with ChatGPT in SQL Server

The next example will show how ChatGPT can translate the table names, column names and content from English into Spanish.

I have the following table with data:

CREATE TABLE [dbo].[documents]([Title] [nvarchar](50) NOT NULL,[FileName] [nvarchar](400) NOT NULL) ON [PRIMARY]GOINSERT [dbo].[documents] ([Title], [FileName]) VALUES (N'Documents', N'Documents')INSERT [dbo].[documents] ([Title], [FileName]) VALUES (N'Overview', N'Overview')INSERT [dbo].[documents] ([Title], [FileName]) VALUES (N'Introduction 1', N'Introduction 1.doc')INSERT [dbo].[documents] ([Title], [FileName]) VALUES (N'Repair and Service Guidelines', N'Repair and Service Guidelines.doc')INSERT [dbo].[documents] ([Title], [FileName]) VALUES (N'Maintenance', N'Maintenance')INSERT [dbo].[documents] ([Title], [FileName]) VALUES (N'Crank Arm and Tire Maintenance', N'Crank Arm and Tire Maintenance.doc')INSERT [dbo].[documents] ([Title], [FileName]) VALUES (N'Lubrication Maintenance', N'Lubrication Maintenance.doc')INSERT [dbo].[documents] ([Title], [FileName]) VALUES (N'Assembly', N'Assembly')INSERT [dbo].[documents] ([Title], [FileName]) VALUES (N'Front Reflector Bracket and Reflector Assembly 3', N'Front Reflector Bracket and Reflector Assembly 3.doc')INSERT [dbo].[documents] ([Title], [FileName]) VALUES (N'Front Reflector Bracket Installation', N'Front Reflector Bracket Installation.doc')INSERT [dbo].[documents] ([Title], [FileName]) VALUES (N'Installing Replacement Pedals', N'Installing Replacement Pedals.doc')INSERT [dbo].[documents] ([Title], [FileName]) VALUES (N'Seat Assembly', N'Seat Assembly.doc')INSERT [dbo].[documents] ([Title], [FileName]) VALUES (N'Training Wheels 2', N'Training Wheels 2.doc')GO

Q. Can you generate the T-SQL script to create the table name, column names, and data in Spanish?

ChatGPT: ¡Claro que sí! Aquí está el script T-SQL para crear la tabla, columnas y datos en español (Certainly, here it is the T-SQL script to create the table, columns and data in spanish):

CREATE TABLE [dbo].[documentos]([Título] nvarchar NOT NULL,[NombreDeArchivo] nvarchar NOT NULL) ON [PRIMARY]GOINSERT [dbo].[documentos] ([Título], [NombreDeArchivo]) VALUES (N'Documentos', N'Documentos')INSERT [dbo].[documentos] ([Título], [NombreDeArchivo]) VALUES (N'Visión general', N'Visión general')INSERT [dbo].[documentos] ([Título], [NombreDeArchivo]) VALUES (N'Introducción 1', N'Introducción 1.doc')INSERT [dbo].[documentos] ([Título], [NombreDeArchivo]) VALUES (N'Guías de reparación y servicio', N'Guías de reparación y servicio.doc')INSERT [dbo].[documentos] ([Título], [NombreDeArchivo]) VALUES (N'Mantenimiento', N'Mantenimiento')INSERT [dbo].[documentos] ([Título], [NombreDeArchivo]) VALUES (N'Mantenimiento de brazo de manivela y neumático', N'Mantenimiento de brazo de manivela y neumático.doc')INSERT [dbo].[documentos] ([Título], [NombreDeArchivo]) VALUES (N'Mantenimiento de lubricación', N'Mantenimiento de lubricación.doc')INSERT [dbo].[documentos] ([Título], [NombreDeArchivo]) VALUES (N'Ensamblaje', N'Ensamblaje')INSERT [dbo].[documentos] ([Título], [NombreDeArchivo]) VALUES (N'Bracket de Reflector Delantero y Ensamblaje de Reflector 3', N'Bracket de Reflector Delantero y Ensamblaje de Reflector 3.doc')INSERT [dbo].[documentos] ([Título], [NombreDeArchivo]) VALUES (N'Instalación de soporte de reflector delantero', N'Instalación de soporte de reflector delantero.doc')INSERT [dbo].[documentos] ([Título], [NombreDeArchivo]) VALUES (N'Instalación de pedales de reemplazo', N'Instalación de pedales de reemplazo.doc')INSERT [dbo].[documentos] ([Título], [NombreDeArchivo]) VALUES (N'Ensamblaje de asiento', N'Ensamblaje de asiento.doc')INSERT [dbo].[documentos] ([Título], [NombreDeArchivo]) VALUES (N'Ruedas de entrenamiento 2', N'Ruedas de entrenamiento 2.doc')GO

ChatGPT: Espero que esto sea útil para ti (I hope this is useful for you).

Me: My native language is Spanish and I can say, that its Spanish translation skills are even better than Google Translate. I once tried to speak with ChatGPT in Quechua (a native language in Bolivia). Chat GPT could understand the question in Quechua but did not answer in Quechua.

When I tried to execute the code suggested I got this error:

Msg 8152, Level 16, State 30, Line 6String or binary data would be truncated.The statement has been terminated.

The problem is that the table created just had one character limit for the nvarchar columns:

CREATE TABLE [dbo].[documentos]([Título] nvarchar NOT NULL,[NombreDeArchivo] nvarchar NOT NULL) ON [PRIMARY]GO

To fix the problem we will add a limit of 50 characters to the nvarchar columns. Drop the table first.

drop table dbo.documentos

Next, create the table with the 50-character limit.

CREATE TABLE [dbo].[documentos]([Título] nvarchar(50) NOT NULL,[NombreDeArchivo] nvarchar(50) NOT NULL) ON [PRIMARY]GO

Now you can insert the data again and it will work successfully:

ChatGPT in SQL Server - Practical examples – SQLServerCentral (2)

Update data with ChatGPT in SQL Server

The following example shows some functions to fix data problems.

Question:I have a table named names and a column named full name. The full name column contains the first name, a space, and the last name. Can you generate the T-SQL code to create two columns named first name and last name? Add the firstname data from the fullname column into the firstname column and the last name data from the full name column into the last name column. Once this is done, please drop the fullname column.

ChatGPT: Sure, here's the T-SQL code to create two columns named "first name" and "last name", and then split the data from the "full name" column into these two columns, and then drop the "full name" column:

--sql-- Add the two new columnsALTER TABLE names ADD first_name varchar(50)ALTER TABLE names ADD last_name varchar(50)-- Update the new columns with data from the full_name columnUPDATE names SETfirst_name = SUBSTRING(full_name, 1, CHARINDEX(' ', full_name)-1),last_name = SUBSTRING(full_name, CHARINDEX(' ', full_name)+1, LEN(full_name)-CHARINDEX(' ', full_name))-- Drop the full_name columnALTER TABLE names DROP COLUMN full_name

This code assumes that the "full name" column is already present in the "names" table and that the "first name" and"last name" columns do not already exist. The code splits the data in the "full name" column into the "first name" and "last name" columnsusing the space character as the delimiter. If any of the names contain multiple words, this code will only capture the first word as the first name,and the remaining words as the last name.

Me: In my table, the column name was fullname and not full_name, so I had to modify it a little bit the code to make it work:

Here you have the table if you want to try for your own:

create table names( id int,fullname varchar(50))insert into names values(1,'John Smith'),(2,'James Dean')

Now, we will execute the update:

UPDATE names SETfirst_name = SUBSTRING(fullname, 1, CHARINDEX(' ', fullname)-1),last_name = SUBSTRING(fullname, CHARINDEX(' ', fullname)+1, LEN(fullname)-CHARINDEX(' ', fullname))

As you can see, the code worked successfully:

ChatGPT in SQL Server - Practical examples – SQLServerCentral (3)

Finally, you can drop the full name column with the code provided.


Create a stored procedure with ChatGPT in SQL Server

The next example will show how to create a stored procedure with ChatGPT.

Question: I have a table named HumanResources.Employee with the columns [BusinessEntityID] int,LoginID nvarchar(256). Can you create a stored procedure named dbo.Employee that receives 2 parameters named MaxBusinessEntityID and MinBusinessEntityID and does a select [BusinessEntityID],LoginID where BusinessEntityID is between MaxBusinessEntityID and MinBusinessEntityID

ChatGPT: Sure, here's the T-SQL code to create a stored procedure named dbo.Employee that accepts two parameters, @MaxBusinessEntityID and @MinBusinessEntityID, and returns the BusinessEntityID and LoginID columns from the HumanResources.Employee table where BusinessEntityID is between @MaxBusinessEntityID and @MinBusinessEntityID:

CREATE PROCEDURE dbo.Employee@MaxBusinessEntityID int,@MinBusinessEntityID intASBEGINSET NOCOUNT ON;SELECT BusinessEntityID, LoginIDFROM HumanResources.EmployeeWHERE BusinessEntityID BETWEEN @MaxBusinessEntityID AND @MinBusinessEntityID;END

This code assumes that the HumanResources.Employee table already exists and has the BusinessEntityID and LoginID columns. The stored procedure accepts two parameters @MaxBusinessEntityID and @MinBusinessEntityID, which are used to filter the results from the HumanResources.Employee table based on the range of BusinessEntityID values. The stored procedure returns the BusinessEntityID and LoginID columns from the filtered results.

Me: This code worked successfully on the first try:

Exec dbo.Employee 1,2

ChatGPT in SQL Server - Practical examples – SQLServerCentral (4)

I used the Adventureworks database and the Humanresources.Employee for this example.

Create logins with ChatGPT in SQL Server

This new example shows how to work with a list separated by commas. This can provide an idea about routine tasks.

Question: Can you generate the T-SQL code to add these 3 SQL Server logins with serveradmin permissions? jsmith,sstalone,tcruise. The password will be the names+134#.

ChatGPT: Sure, here's the T-SQL code to create 3 SQL Server logins with serveradmin permissions and set their passwords to their names followed by "134#":


ChatGPT: This code assumes that you are currently connected to the SQL Server instance and have the necessary permissions to create logins and add them to the serv

Me: This code did not require changes and worked fine.

ChatGPT in SQL Server - Practical examples – SQLServerCentral (5)

About pollution

We discussed in the previous article about pollution. Some people mention that this technology consumed a lot of energy. Let’s ask ChatGPT about that.

Q. Is it true that your technology pollutes a lot and consumes a lot of energy?

ChatGPT: As an AI language model, I do not consume energy or produce pollution directly since I exist entirely as software running on computer servers. However, the energy consumption and pollution generated by the servers that run AI models like me can be significant, especially as the use of AI continues to grow.

It is worth noting that many companies that develop and use AI technology, including my creators at OpenAI, are aware of the environmental impact of their operations and are taking steps to reduce their carbon footprint. These steps can include using renewable energy sources to power data centers, optimizing algorithms to reduce computational needs, and implementing efficient cooling systems to reduce energy usage.

Overall, while the use of AI technology may contribute to energy consumption and pollution, many in the industry are working to mitigate these effects and develop more sustainable practices.

How many servers are required to make your work for the world?

ChatGPT: As an AI language model, I can work on a single server or cluster of servers, depending on the specific implementation. The amount of computational resources required to run an AI language model like me depends on various factors such as the size of the model, the amount of data it processes, and the complexity of the tasks it performs.

For example, the largest language models today, like GPT-3 from OpenAI, require massive amounts of computational resources to train and run. GPT-3 has 175 billion parameters and requires a cluster of hundreds or even thousands of servers to run.

On the other hand, smaller models with fewer parameters, like the ones used for some chatbots or customer service applications, can be run on a single server or even on edge devices like smartphones.

So, the number of servers required to make me work for the world would depend on the specific use case, the size of the model, and the amount of data being processed.

Me: According to ChatGPT thousands of servers are required.

Do you know the number of servers used for GPT-3?

The exact number of servers used for GPT-3 is not publicly disclosed by OpenAI, the research organization that developed the model. However, it is known that GPT-3 is currently one of the largest language models in existence, with 175 billion parameters, which makes it orders of magnitude larger than most other language models.

Given the size and complexity of GPT-3, it is likely that it requires a significant amount of computational resources to train and run. OpenAI has described the training process for GPT-3 as "a highly distributed and parallelized effort", which suggests that the model was trained on a large cluster of servers. However, the exact number of servers used and the specific hardware specifications are not publicly disclosed.

Conclusion about ChatGPT in SQL Server

In this article, we saw 2 examples to generate data using ChatGPT. You can easily generate random or real data. It is hard to get many rows because ChatGPT tries to attend to millions of users. We also saw how to translate the table columns and the data from English to Spanish. ChatGPT is pretty great to handle different languages. You may need a proofreader to check, but the translation is acceptable and the proofreader will not have too much work. ChatGPT makes some mistakes. If you are not familiar with T-SQL, you will not be able to solve the errors. Humans are still required, but unfortunately, the world now requires fewer DBAs and developers.

Also, learned how to split the firstname and lastname from a column named full name into 2 columns.

In addition, we created a stored procedure and then we created some logins based on a list.

Finally, we talked about pollution. I really love the things that ChatGPT can do. I think it can replace several employees. It makes some mistakes, but I think it can evolve fast and improve its skills really fast. It will be hard to replace experienced DBAs, but not so hard to replace newbies. Regarding pollution, I am pretty sure that humanity will find better ways to improve energy consumption and alternatives to produce energy in a more efficient way and pollute less.


Does ChatGPT work with SQL? ›

ChatGPT definitely beats me on speed; it writes valid SQL syntax in a few seconds, whereas I need a few minutes.

Can ChatGPT help with SQL? ›

It can help you create SQL queries using natural language, solve any coding questions you might have or even help you understand pre-defined queries that you do not understand. In this article, I will outline how you can use ChatGPT to learn SQL and become proficient in this valuable skill. First things first, so…

How to read top 5 records from a table using a SQL query? ›

The SELECT TOP statement in SQL shows the limited number of records or rows from the database table. The TOP clause in the statement specifies how many rows are returned. It shows the top N number of rows from the tables in the output.

How to get last 5 records in SQL? ›

ORDER BY id ASC; In the above query, we used subquery with the TOP clause that returns the table with the last 5 records sorted by ID in descending order. Again, we used to order by clause to sort the result-set of the subquery in ascending order by the ID column.

What are the limitations of ChatGPT? ›

Accuracy problems or grammatical issues: ChatGPT's sensitivity to typos, grammatical errors, and misspellings is limited at the moment. The model may also produce responses that are technically correct but may not be entirely accurate in terms of context or relevance.

Can ChatGPT replace data analyst? ›

Long answer short —AI models like Chat GPT can be a valuable tool for data scientists, but they cannot replace the important role that data scientists play in various industries. This is true for most of the roles.

How many queries does ChatGPT receive per day? ›

ChatGPT general facts

OpenAI's GPT-3 is the largest language model created to date. 9. It has 175 billion parameters and receives 10 million queries per day.

What data is used in ChatGPT? ›

ChatGPT works by using a pre-trained transformer neural network architecture to generate text. The model is trained on a large dataset of text, called the common crawl dataset, which allows it to learn the patterns and structures of human-written text.

What is the most efficient SQL JOIN? ›

TLDR: The most efficient join is also the simplest join, 'Relational Algebra'. If you wish to find out more on all the methods of joins, read further. Relational algebra is the most common way of writing a query and also the most natural way to do so.

How do I fetch only the first 10 records in SQL? ›

To select first 10 elements from a database using SQL ORDER BY clause with LIMIT 10. Insert some records in the table using insert command. Display all records from the table using select statement.

How do I memorize SQL query order? ›

The order of clauses MUST always be as below. The mnemonic I learned to help me remember the order is Some French Waiters Grow Healthy Oranges & Lemons.

How do I select top 5 values in SQL? ›

  1. SQL Server / MS Access Syntax. SELECT TOP number|percent column_name(s) FROM table_name;
  2. MySQL Syntax. SELECT column_name(s) FROM table_name. LIMIT number;
  3. Example. SELECT * FROM Persons. LIMIT 5;
  4. Oracle Syntax. SELECT column_name(s) FROM table_name. WHERE ROWNUM <= number;
  5. Example. SELECT * FROM Persons.

How do I get last 10 years of data in SQL? ›

Simple set @YearsToPass to number of how many years you want to return. Save this answer. Show activity on this post. SQL Server parse and compile time: CPU time = 0 ms, elapsed time = 0 ms.

How many records can be retrieved from SQL query? ›

There is no limit to the number of result rows in a query.

How do I find most recent records in SQL? ›

Use the aggregate MAX(signin) grouped by id. This will list the most recent signin for each id . To get the whole single record, perform an INNER JOIN against a subquery which returns only the MAX(signin) per id.

What is the advantage of ChatGPT? ›

ChatGPT Plus uses cutting-edge AI technology to learn from customer conversations. This allows the chatbot to understand your customers' preferences, needs, and intent over time. This helps to provide more accurate responses and better customer service overall.

What is the significance of ChatGPT? ›

ChatGPT is a natural language processing tool driven by AI technology that allows you to have human-like conversations and much more with a chatbot. The language model can answer questions, and assist you with tasks such as composing emails, essays, and code.

How does ChatGPT collect data? ›

According to the company's privacy policy, it collects users' IP address, browser type and settings, and data on users' interactions with the site – including the type of content users engage with, features they use and actions they take.

Is ChatGPT replacing programmers? ›

ChatGPT won't change the world of technology or software development anytime soon. But the fear of robots taking over programming jobs is overblown. (Source: REUTERS) ChatGPT can generate code samples, but it's not intended to help coders become more proficient.

Will ChatGPT replace data engineers? ›

While ChatGPT may be able to help data engineers do their job easier, faster, and with fewer resources, it cannot replace them entirely just yet. ChatGPT is an artificial intelligence-powered chatbot that can generate natural language responses based upon conversational context.

Are data analysts less stressful? ›

Several data professionals have defined data analytics as a stressful career. So, if you are someone planning on taking up data analytics and science as a career, it is high time that you rethink and make an informed decision.

What are the weaknesses of ChatGPT? ›

One of the primary disadvantages of using a ChatGPT for customer service is the potential for the chatbot to provide inaccurate or misinformed answers. Since the GPTs are trained through trial and error, they are only as accurate as the data and algorithms they are based on.

How many users use ChatGPT now? ›

ChatGPT has created a blizzard on the internet. OpenAI's chatbot has broken all the records and has crossed 1 million users within one week of its launch.
About ChatGPT.
Launched On30th November
Number of users1 million +
4 more rows
Feb 8, 2023

How many users are on ChatGPT now? ›

E 2 and Whisper AI. The service was launched as initially free to the public, with plans to monetize the service later. By December 4, 2022, ChatGPT already had over one million users. In January 2023, ChatGPT reached over 100 million users, making it the fastest growing consumer application to date.

What app can I use for SQL? ›

Compare the Top SQL Server Apps for Android of 2023
  • Raima Database Manager (RDM) Raima. Raima Database Manager is an embedded time series database for IoT and Edge devices that can run in-memory. ...
  • Omnis Studio. Omnis Software Ltd. ...
  • Backendless. Backendless. ...
  • Chetu. Chetu.

Can model driven app connect SQL Server? ›

Model driven apps can't work with SQL Database , You can generate model driven apps only using Data Verse. If this post helps you with your problem, please mark your as Accepted solution.

What authentication modes does SQL Server support? ›

SQL Server supports two authentication modes, Windows authentication mode and mixed mode. Windows authentication is the default, and is often referred to as integrated security because this SQL Server security model is tightly integrated with Windows.

What databases does SQL work with? ›

Relational databases are built using the structured query language (SQL) to create, store, update, and retrieve data. Therefore, SQL is the underlying programming language for all relational database management systems (RDBMS) such as MySQL, Oracle, and Sybase, among others.

What is a real life example of SQL? ›

Platforms, such as Snapchat and Instagram, make use of SQL to store the profile information of users. The Structured Query Language allows them to update the database of their app when users create new posts or share photos, and it also facilitates the recording of messages, enabling users to retrieve messages later.

Which is the best SQL query tool? ›

10 Best SQL Editor Tools
  • Adminer.
  • DBeaver.
  • Microsoft SQL Server Management Studio.
  • RazorSQL.
  • SQuirrel SQL.
  • Datapine SQL Editor.
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