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Home/ Questions/Q 6648267
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Editorial Team
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Editorial Team
Asked: May 26, 20262026-05-26T00:38:08+00:00 2026-05-26T00:38:08+00:00

I need to code a small/simple database application using C, for my CS degree

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I need to code a small/simple database application using C, for my CS degree (so using SQLite or any other available application is not an option. In other words, I do need to re-invent the wheel here).

My idea is to use a B-Tree to store the items of each table. The problem I am facing is that tables need to be flexible to hold an unknown number of columns, and each column can be either a STRING or an INT. For example, with this command:

CREATE TABLE student (STRING name, INT age)

I would need to create a table that holds a string and an integer. With this command instead:

CREATE TABLE grade (INT grade1, INT grade2, INT grade3)

I would need to create a table that holds three integers.

How can achieve such flexibility?

My only idea so far is to create a struct with several unions inside it, where each union can be either a STRING or an INT. I would also need to put a lot of unions inside, to be sure to accommodate all the columns requested by the table. For example:

struct table{
    union{
        int number;
        char *text;
    }column1;

    union{
        int number;
        char *text;
    }column2;

    union{
        int number;
        char *text;
    }column3;

    ....

};

Is there a better way to do this?

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  1. Editorial Team
    Editorial Team
    2026-05-26T00:38:08+00:00Added an answer on May 26, 2026 at 12:38 am

    i can only think of two very different approaches:

    1. make a ‘schema compiler’ that gets the table definition, writes the structs and compiles the database engine.
    2. from the schema definition calculate the byte offset and length of each column. save and restore the records as a byte array and pick the fields using that offset/length list.

    most common is #2, but #1 has the advantage that the C compiler ‘knows’ the table structure, and will type-check your columns.

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