Assistance Required for Creating a Cloud SQL Table with 490 Columns

[Md_Saddam_Hossa]

Dear Team,

I hope this email finds you well.

Over the past few days, I have been attempting to create a Cloud SQL table with 490 columns. However, I am encountering errors related to table character limitations. Could you please assist me with resolving this issue?

@Roderick 
@Lauren_vdv 
@Peter-Google 

@lizlynch 
@Adam-google 
@Arthur_Rallu 
@Adam_Stevens 
@goannsplain 
@cschalk_ws 
@Landan_QREW 

Below is the code I am currently using:

CREATE TABLE Vehicle_Checklist (
SN INT AUTO_INCREMENT PRIMARY KEY,
ID VARCHAR(255),
Created DateTime DATETIME,
Created by VARCHAR(255),
Last Edited by VARCHAR(255),
Last Edited DateTime DATETIME,
CounterINT,
RAS Inspection VARCHAR(255),
Checklist VARCHAR(10),
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[mohssin365]

To resolve the issue of character limitations when creating a Cloud SQL table with 490 columns, it's important to first understand the limitations and best practices for database design. Cloud SQL and many other relational databases have practical limits on the number of columns and the total size of a row. One effective strategy is to normalize your database. Normalization involves organizing the database to reduce redundancy and improve data integrity. Instead of having a single table with many columns, you can split the data into multiple related tables. For example, you could create a Vehicles table, a Questions table, and a Responses table, linking them with foreign keys. This way, each question-response pair becomes a row in the Responses table, significantly reducing the number of columns.

Another strategy is vertical partitioning, which involves splitting a table into multiple tables, each containing a subset of the columns. This approach can help manage tables with a large number of columns by organizing the data into more manageable sections. For instance, you could separate the defect details and images into their own tables.

Here's an example of a normalized approach. First, create a Vehicles table to store general information about the vehicles. Next, create a Questions table to store the individual questions and their details. Finally, create a Responses table to store the responses, linking them back to the Vehicles and Questions tables using foreign keys. This structure reduces the number of columns in each table and organizes the data more efficiently.

To insert data into this normalized structure, you would first insert into the Vehicles table, then the Questions table, and finally into the Responses table if needed. This method ensures that your database remains within practical limits while maintaining data integrity and manageability.

By normalizing your database and possibly using vertical partitioning, you can avoid hitting column limits and create a more scalable and manageable database. This approach not only helps with the current issue but also makes your database more efficient and easier to maintain in the long run.

[Md_Saddam_Hossa]

but need to show all columns in one table in appsheet to show in one form