S3 - Simplified SQL Shell

S3 is a user-friendly, cross-platform SQL Shell which features colourful text and emojis. Along with its visually engaging interface, S3 is packed with helpful features, including convinient shortcuts, making it easy to manage your databases and execute SQL Queries. Primarily Intended for Educational Purposes

Also have a Look at the longer Demo Video

License

Supported Platforms

- Any Linux Distro (Tested on OpenSUSE Tumbleweed)

- Windows (Tested on Windows 10, should work in Windows 11 as well)

Mac Users can try the Source Install Method and Let me know, if it works. I just can't support it, because I don't have one.

Installation

Prerequisite

It is assumed that you have already installed SQL Server in your pc (Obvious Stuff, right?)
In case you haven't then install it from

• https://dev.mysql.com/downloads/installer/ [For Windows, Mysql]
• https://opensource.com/article/20/10/mariadb-mysql-linux [For Linux, MySql or MariaDB]

Or Follow any [working] Tutorial that you find online.

Binary Install Linux -

Though S3 will work from any terminal emulator, Gnome Terminal is Recommended as I have Tested it there and it works. Kde Konsole seems to not render the Emojis Properly.

1. Go to Releases Page and Download the S3-1.0.0-Linux-Any-x86_64.zip file. [or the latest version]
2. Extract it.
3. Give the install.sh file permissions to execute by -

chmod +x install.sh

4. Run install.sh file by -

./install.sh

Now you should be able to run S3 in your terminal from anywhere. Just type -

S3

and press enter !

Alternatively, you can use S3 file as a portable binary without installing it, just give it permissions to execute (chmod +x S3) and run it by ./S3

Binary Install Windows[10/11] -

The launch of portable binary file can be slow, [probably] because it has to uncompress before startup.

Step 0 - Install Windows Terminal

Although S3 will work with CMD.exe in Windows, Windows terminal will ensure that the rendering of the text is fine and not messed up. Further, Emojis are absent in CMD.exe.

• Install Windows Terminal by following - https://learn.microsoft.com/en-us/windows/terminal/install
• Set CMD as the default profile.

Using Setup File(Recommended) -

Windows Terminal is a Mandatory Requirement for this method.

You can Install S3 using a Setup File, just like how you will install any other program (and ofcourse use it like any typical windows program.)

1. Go to Releases Page and Download the S3-1.0.0-Windows-Setup-x86_64.zip file. [or the latest version]
2. Extract it.
3. Double Click and Run S3_Setup.exe
4. Follow the Instructions and you're Done !

Using Portable Binary

This allows you to double click and run the file without actually installing it.

1. Go to Releases Page and Download the S3-1.0.0Windows-Portable-x86_64.zip file.[or the latest version]
2. Extract it.
3. Double CLick and Run Run_S3.bat if you are using windows terminal or start S3 by running S3.exe diretly (will run through CMD.exe).

Source Install (Works for Linux, Windows, [Maybe] for Mac) -

Don't Do This, Until you know what you are doing !

1. Navigate to your desired directory and create a Virtual Environment.

python3 -m venv venv

2. Activate it

• Linux

source venv/bin/activate

• Windows

venv\Scripts\activate

3. Install the required libraries.

pip install pyinstaller rich Faker pyfiglet PyMySQL PyMySQL[rsa]

4. Clone this repo and go it's directory

git clone https://github.com/Uthayamurthy/S3
cd S3

5. Create the binary file

pyinstaller --collect-all pyfiglet --icon=S3/icon.ico -F main.py

Now, in the dist directory, you will find the executable (named main or main.exe)

Basic Usage

Regular SQL Commands

Just type in your required SQL Command and press enter. Multiline SQL Statements are supported, just press enter and don't end the statement with semicolon ';' until you want to end it.

Don't Forget Semicolon at the end of every statement.

For SQL Specific Documentation refer to :

1. MySQL Docs - https://dev.mysql.com/doc/
2. MariaDB Docs - https://mariadb.org/documentation/

Shortcut SQL Commands

Shortcuts is a special feature of S3 that helps to dramatically reduce the length of the SQL statements that you type.They always start with ! .

Using Semicolons ';' to end shortcuts is not mandatory.

0. Set the Database that you wanna use (Obvious Stuff !!)

USE <DATABASE_NAME>

1. Set The Table for Shortcut Commands. (Not Mandatory, but Recommended) It saves typing the table name everytime !

!t <table_name>

2. Use the Shortcuts ! Example Usage -

!s

Is Equivalent to running

SELECT * FROM <table_name>;

Just see How much you need not type !

If you are not convinced, look at this -

!ai 15 num(4) name dob(7, 18) addr phone

Is equivalent to running

Insert INTO <Table_Name> <random_4_digit_number> <random_name> <random_dob> <random_addr> <random_phone_no>
.
.
.
15 Times !!

So 15 lines into just one !

For more help about Shortcuts, refer to the Shorcut Manual.

App Commands

Help

To access internal help menu, just type

help;

and press enter.

Exit

To exit the app, just type

exit; 

and press enter.

About

To know about the app, just type

about;

and press enter

Shortcut Manual

Shortcuts is a special feature of S3 that helps to dramatically reduce the length of the SQL statements that you type. Shortcuts is currently only available for a handful of SQL Commandd.

Using Semicolons ';' to end shortcuts is not mandatory. Also, Shortcuts are NOT CASE SENSITIVE (even the arguments !).

Beware about arguments of Shortcuts.

Arguments that have multiple things seperated by commas SHOULD NOT have spaces between them. It will either not work or produce Unintended [Absurd !] results.

Set Table Shortcut

Usage-
Just

!t <Table_Name>

That's It !

Show Shortcut

Usage -

!sh <arg1>

• arg1 [optional] - Table or Database, Default - t
  Values -
  d: database
  t: tables

Select Shortcut

Usage-

!s <arg1> <arg2>

• arg1 [optional] - Set the fields you want to retrieve, * is default, field names are comma-seperated with no spaces between them.
• arg2 [optional] - Set Table name, use this if you haven't set the table using !t or you want to just overide it.

Describe Shortcut

Usage-

!d <arg1>

• arg1 [optional] - Set Table name, use this if you haven't set the table using !t or you want to just overide it.

Insert Shortcut

Usage-

!i <arg1> <arg2> <arg3>

• arg1 [Mandatory] - Set the values to insert into the table. Values are comma-seperated with no spaces between them.
• arg2 [Optional] - Set the field names into which the command needs to be inserted. Field names are comma-seperated with no spaces between them.
• arg3 [Optional] - Set Table name, use this if you haven't set the table using !t or you want to just overide it.

Auto Insert Shorcut

Definetely, one of the coolest feature of S3, very useful if you want to insert a bunch of random values super-quickly into your database ! It uses the Faker Library and Python's Random Library to generate data according to your requirements !

Prior !t usage is mandatory. Usage-

!ai <arg1> **args

Run !d before you use autoinsert to avoid errors in using this feature.

• arg1 [Mandatory] - Set the number of entries you want to insert.
• **args - Set the Data Type that you want to insert into this field.

Example usage of Auto-Insert -

!ai 5 num(2) name(nb) num(20000, 30000) phone addr bool yn gender null

Supported Data Types for Auto Insert -

For the arguments of the datatypes, use parenthesis '()' and arguments are comma-seperated with no spaces between them.

Name

Datatype - String (Char, Varchar, whatever you wanna call it !)
Generates Random Person Names based on locale.

1. Full Name

name(arg1) 

• arg1 [optional] - Set the gender for name. Default-Random Values -
  m: male
  f: female
  nb: non-binary

2. First Name

fname(arg1) 

• arg1 [optional] - Same as Full Name

3. Last Name

lname(arg1) 

• arg1 [optional] - Same as Full Name

If you use name and lname, fname then they won't match !

Number

Datatype - Integer
Number Datatype is slightly special, in the sense, different number of argument will yield different results.

1. With 0 Arguments Will Generate A Random Integer between 0 and 1000.

num

2. With 1 Argument Argument is taken as the number of digits.

num(3)

A 3 digit number is generated.

3. With 2 Arguments Arguments are taken as the range from which the digits should be generated.

num(100,500)

This will generate a number between 100 and 500
Again, No Spaces between the comma seperated arguments or else it will produce insanely absurd results !!
So, Don't Do This !

num(100, 500)

You can also use 'int' instead of 'num' in all the above commands.

Date

Datatype - Date
Generates a date in default SQL Format.

date(arg1,arg2)

• arg1 [optional] - Set the Starting Year. Default-1970
• arg2 [optional] - Set the Ending Year. Deafult-Present-Year

Date Of Birth

Datatype - Date
Generates a date of birth in default SQL date Format.

dob(arg1,arg2)

• arg1 [optional] - Set the Minimum Age. Default-0
• arg2 [optional] - Set the Maximum Age. Deafult-115

Color

Datatype - String
Generates a random color name.

color

colour can also be used instead of color

Phone Number

Datatype - String
Generates a phone number based on locale.

phone

Address

Datatype - String
Generates a random address based on locale.

addr

City

Datatype - String
Generates a random city name according to locale.

city

Country

Datatype - String
Generates a random country name.

country

Pincode

Datatype - String
Generates a random pincode [or postcode] according to the locale.

pincode

Boolean Values

Datatype - Bool
Generates Either True or False.

bool

Yes or No

Datatype - String
Generates Yes or No

yn

Gender

Datatype - String
Generates Male or Female

gender

Null

Datatype - Null
Sets the field to null.

null

Even 'none' can be used instead of 'null'

Aadhaar Number (Only for Indian Locale)

Datatype - String
Generates a random aadhaar number

aadhaar

Company

Datatype - String
Generates a random company name.

company

Language Name

Datatype - String
Generates a random language name.

language

In All Other Cases

Incase you do this -

!ai 10 num(2) name num(1) abc addr

Here abc is not a datatype. So abc will be considered as the default value for all the 4th field of 10 rows.

Only String Values are supported for Default Value. Incase you enter a number, it will be converted into a string. So don't use this with a field of number datatype.

Set Shortcut Locale

Default Locale is en_IN [India]

!l <locale>

Example -

!l en_US

For Supported Locale types refer to Faker Documentations(https://faker.readthedocs.io/en/master/locales.html) .