Quran Database Design

   May 10, 2023  Posted in Religion

My input highlighted in blue, GPT output is white, my comments are in green and sessions are in orange.

I want to design a database for storing the Quran, can you create all the necessary tables for the following entities:
There are many Surah in the Quran, each Surah has a Surah number and is made up of many verses. each verse has a verse number and it can have many words. a verse can also have one more more star that is located between the words. each word can have a root. each root can have many derivatives.

Sure, you can design your database with the following tables:

  1. Surah table
  • surah_id (primary key)
  • surah_number
  • surah_name
  1. Verse table
  • verse_id (primary key)
  • surah_id (foreign key referencing Surah.surah_id)
  • verse_number
  1. Word table
  • word_id (primary key)
  • verse_id (foreign key referencing Verse.verse_id)
  • word_text
  • root_id (foreign key referencing Root.root_id)
  1. Star table
  • star_id (primary key)
  • verse_id (foreign key referencing Verse.verse_id)
  • word_id (foreign key referencing Word.word_id)
  1. Root table
  • root_id (primary key)
  • root_text
  1. Derivative table
  • derivative_id (primary key)
  • root_id (foreign key referencing Root.root_id)
  • derivative_text

Here are a few notes:

  • In the Surah table, each row represents a Surah. The surah_id is a unique identifier for each Surah.
  • In the Verse table, each row represents a verse. The verse_id is a unique identifier for each verse, while the surah_id links the verse to the Surah it belongs to.
  • In the Word table, each row represents a word. The word_id is a unique identifier for each word, while the verse_id links the word to the verse it belongs to. The root_id is used to link a word to its root.
  • In the Star table, each row represents a star. The star_id is a unique identifier for each star, the verse_id links the star to the verse it belongs to, and the word_id indicates the word after which the star appears.
  • In the Root table, each row represents a root word. The root_id is a unique identifier for each root.
  • In the Derivative table, each row represents a derivative of a root word. The derivative_id is a unique identifier for each derivative, while the root_id links the derivative to the root it originates from.

This is a basic structure and can be modified or extended according to your specific needs. Please note that there are many ways to model this data, and the best structure depends on the specific requirements and constraints of your application.

A verse can have the same word more than once, this might cause a problem with the star

Yes, you’re right. The Star table is currently designed to reference a specific word, which could lead to ambiguity if a word appears more than once in a verse.

To resolve this issue, you can introduce an order column in the Word table to keep track of the sequence of words in a verse. This order field will specify the position of the word in a verse, thereby allowing us to reference a specific instance of a word.

Here’s how you can adjust your tables:

  1. Word table:
  • word_id (primary key)
  • verse_id (foreign_key referencing Verse.verse_id)
  • word_text
  • order (This field indicates the order of the word in the verse)
  • root_id (foreign key referencing Root.root_id)
  1. Star table:
  • star_id (primary key)
  • verse_id (foreign key referencing Verse.verse_id)
  • word_id (foreign key referencing Word.word_id)
  • word_order (this field indicates the order of the word after which the star appears)

Now you can uniquely identify every word in a verse and the position of every star relative to those words. This will ensure that even if a word appears more than once in a verse, the Star table can reference a specific instance of the word by using the word_id and word_order fields.

if I have a word order in the word table why do I need a word order in the star table?

You are correct, the word_order field in the Star table is not necessary since the order of the word after which the star appears can be inferred from the order field in the Word table. Therefore, you can remove the word_order field from the Star table.

Here’s the corrected version of the Star table:

  1. Star table:
  • star_id (primary key)
  • verse_id (foreign key referencing Verse.verse_id)
  • word_id (foreign key referencing Word.word_id)

By referencing the word_id field in the Star table, you can uniquely identify the word after which the star appears in a verse. The order field in the Word table can then be used to determine the position of the word in the verse. This will allow you to identify the exact location of the star in the verse without the need for a separate word_order field in the Star table.

I also want to be able to add comment to any word, can you design the comment table

Sure, you can create a Comment table to store comments related to each word. Here’s an example of what the table might look like:

  1. Comment table:
  • comment_id (primary key)
  • word_id (foreign key referencing Word.word_id)
  • comment_text
  • created_at (timestamp)
  • updated_at (timestamp)

In this table, each row represents a comment on a word. The comment_id is a unique identifier for each comment. The word_id field links the comment to the word it pertains to. The comment_text field contains the actual comment text. The created_at and updated_at fields can be used to track when the comment was created and last updated, respectively.

This structure allows you to add comments to any word in the Word table by referencing its word_id. You can also include additional fields in the Comment table as needed to capture any additional information you want to store for each comment.

also please create the tables that allows the user to highlight multiple consecutive words and give it a color. also adjust the comment table so a comment can be set for highlighted words

Sure, here’s an updated table structure that allows users to highlight consecutive words and assign a color to them, as well as comment on the highlighted words:

  1. Highlight table:
  • highlight_id (primary key)
  • user_id (foreign key referencing User.user_id)
  • surah_id (foreign key referencing Surah.surah_id)
  • start_word_id (foreign key referencing Word.word_id)
  • end_word_id (foreign key referencing Word.word_id)
  • color (varchar)
  1. Comment table:
  • comment_id (primary key)
  • user_id (foreign key referencing User.user_id)
  • highlight_id (foreign key referencing Highlight.highlight_id)
  • comment_text
  • created_at (timestamp)
  • updated_at (timestamp)

In this updated structure, the Highlight table contains a row for each highlighted sequence of words. The highlight_id is a unique identifier for each highlight. The user_id field links the highlight to the user who created it. The surah_id field links the highlight to the Surah it belongs to. The start_word_id and end_word_id fields reference the first and last words in the sequence of highlighted words, respectively. The color field specifies the color of the highlight.

The Comment table has been updated to include a highlight_id field that links the comment to the highlight it pertains to. This allows you to comment on any highlighted sequence of words in the Highlight table.

Note that you’ll also need a User table to store information about your application’s users, such as their username and password. You can reference the user_id field in both the Highlight and Comment tables to associate highlights and comments with specific users.

can you give me the correct design of what we have so far and add the user table to it as well

Sure! Here’s the updated database design that includes all the tables we’ve discussed so far, including the User table:

  1. User table:
  • user_id (primary key)
  • username
  • password
  • email
  1. Surah table:
  • surah_id (primary key)
  • surah_number
  • surah_name
  1. Verse table:
  • verse_id (primary key)
  • surah_id (foreign key referencing Surah.surah_id)
  • verse_number
  1. Word table:
  • word_id (primary key)
  • verse_id (foreign key referencing Verse.verse_id)
  • word_text
  • order
  • root_id (foreign key referencing Root.root_id)
  1. Star table:
  • star_id (primary key)
  • verse_id (foreign key referencing Verse.verse_id)
  • word_id (foreign key referencing Word.word_id)
  1. Root table:
  • root_id (primary key)
  • root_text
  1. Derivative table:
  • derivative_id (primary key)
  • root_id (foreign key referencing Root.root_id)
  • derivative_text
  1. Highlight table:
  • highlight_id (primary key)
  • user_id (foreign key referencing User.user_id)
  • surah_id (foreign key referencing Surah.surah_id)
  • start_word_id (foreign key referencing Word.word_id)
  • end_word_id (foreign key referencing Word.word_id)
  • color (varchar)
  1. Comment table:
  • comment_id (primary key)
  • user_id (foreign key referencing User.user_id)
  • highlight_id (foreign key referencing Highlight.highlight_id)
  • comment_text
  • created_at (timestamp)
  • updated_at (timestamp)

In this structure, the User table stores information about each user of the application, including their unique user_id, username, password, and email. The Surah table contains information about each Surah in the Quran, while the Verse table stores each verse in the Quran along with its verse_id and verse_number.

The Word table contains each word in the Quran and links it to its respective verse_id and root_id. The order field indicates the position of the word in the verse. The Star table contains each star in the Quran and links it to its respective word_id and verse_id.

The Root table contains information about each root word in the Quran, while the Derivative table contains information about each derivative of a root word.

The Highlight table stores information about each highlighted sequence of words, including the user_id of the user who created it, the surah_id it belongs to, the first and last word_id in the highlighted sequence, and the color of the highlight. The Comment table stores information about each comment, including the user_id of the user who created it, the highlight_id it pertains to, the comment text, and the creation and update timestamps.

Please note that this is just one example of how the tables can be structured, and there may be other ways to model the data depending on your specific needs and use case.

can you create the insert statement for Sorah Al-Nass

Sure! Here’s an example INSERT statement to add Surah Al-Nass to the Q_Surah table:

INSERT INTO Q_Surah (surah_number, surah_name)
VALUES (114, 'Al-Nass');

This statement will add a row to the Q_Surah table with the surah_number of 114 and the surah_name of “Al-Nass”.

Note that you will need to replace Q_Surah with the actual name of your table if you have modified the script. Also, make sure that the surah_number you are inserting does not already exist in the table, as it is set to be a primary key and must be unique.

can you create the insert statement for the verses in Al-Nass

Sure! Here’s an example INSERT statement to add the verses of Surah Al-Nass to the Q_Verse table:

INSERT INTO Q_Verse (surah_id, verse_number)
VALUES (1, 1), (1, 2), (1, 3), (1, 4), (1, 5), (1, 6);

This statement will add six rows to the Q_Verse table, with surah_id of 1 (assuming that Surah Al-Nass was inserted with surah_id of 1), and verse_number of 1 through 6.

You can adjust the surah_id and verse_number values as needed to match your Quran database. If you have additional columns in your Q_Verse table, you can include those in the INSERT statement as well.

Note that you will need to replace Q_Verse with the actual name of your table if you have modified the script.

can you create the insert statements for each word in these verses. also check to see if there is a root for each word. if there is a root also generate the insert statement for the root word if the word does not exist in the root table. finally generate an insert statement for each Derivative of the root and insert it into the Derivative table if the derivative does not exist in the derivative table

Certainly! Here’s an example script to insert the words for Surah Al-Nass into the Q_Word table, along with the corresponding root and derivative information:

-- Word insert statements
INSERT INTO Q_Word (verse_id, word_text, `order`, root_id)
VALUES (1, 'قُلْ', 1, 26),
       (1, 'أَعُوذُ', 2, NULL),
       (1, 'بِرَبِّ', 3, 139),
       (1, 'النَّاسِ', 4, 72),
       (2, 'مَلِكِ', 1, 37),
       (2, 'النَّاسِ', 2, 72),
       (3, 'إِلَٰهِ', 1, 66),
       (3, 'النَّاسِ', 2, 72),
       (4, 'مِنْ', 1, 119),
       (4, 'شَرِّ', 2, 425),
       (4, 'الْوَسْوَاسِ', 3, 509),
       (4, 'الْخَنَّاسِ', 4, 321),
       (5, 'الَّذِي', 1, 4),
       (5, 'يُوَسْوِسُ', 2, 509),
       (5, 'فِي', 3, 111),
       (5, 'صُدُورِ', 4, 479),
       (6, 'مِنَ', 1, 119),
       (6, 'الْجِنَّةِ', 2, 120);

-- Root and Derivative insert statements
INSERT INTO Q_Root (root_text)
VALUES ('ق ل ل'), ('ع و ذ'), ('ر ب ب'), ('م ل ك'), ('إ ل ه'), ('ش ر ر'), ('و س و س'), ('خ ن س');

INSERT INTO Q_Derivative (root_id, derivative_text)
VALUES (1, 'قُلْتُ'),
       (1, 'تَقُولُ'),
       (1, 'قَالَ'),
       (2, 'أَعَاذَ'),
       (2, 'أَعِيذُ'),
       (2, 'تَعَاذَى'),
       (3, 'رَبُّ'),
       (3, 'تَرَبَّعَ'),
       (3, 'مَرْبَعٌ'),
       (4, 'مَالِكٌ'),
       (4, 'مُلْكٌ'),
       (5, 'إِلَاهٌ'),
       (5, 'أَلِهَةٌ'),
       (6, 'شَرَّ'),
       (6, 'يَشْرَبُ'),
       (7, 'وَسْوَسَ'),
       (7, 'يُوَسْوِسُ'),
       (8, 'خَنَّسَ'),
       (8, 'يَخْنَسُ');

This script assumes that the surah_id for Surah Al-Nass is 1, and that the verse_id values were generated by the auto-increment feature of the Q_Verse table. You should adjust the

Author: amontazar