Matlab map database objects
The MATLAB Agentic Toolkit brings trusted MATLAB capabilities to AI agents, making engineering and scientific workflows agent-ready.
npx -y skills add matlab/matlab-agentic-toolkit --skill matlab-map-database-objectsAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
What its author says it does
Copied from the file, not written here
Generates MATLAB Object Relational Mapping (ORM) code using Database Toolbox. Use when mapping MATLAB classes to database tables, reading/writing objects with ormread/ormwrite/ormupdate, defining Mappable classes, converting classes to SQL with orm2sql, or using object-oriented database workflows.
The file declares its own license as MathWorks BSD-3-Clause. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.
SKILL.md
12.0 KB, as published. Nobody here has run it
MATLAB Object Relational Mapper
Use when mapping MATLAB classes to relational database tables using the Object Relational Mapping (ORM) layer in Database Toolbox. Defines Mappable classes with property-to-column mappings and uses ormread, ormwrite, and ormupdate for CRUD operations on objects. Available since R2023b.
When to Use This Skill
- Mapping MATLAB classes to database tables
- Reading database rows as MATLAB objects
- Writing MATLAB objects to database tables
- Updating database rows from modified objects
- Generating SQL CREATE TABLE from a class definition
- Object-oriented database workflows
- User mentions keywords: ORM, object relational mapping, Mappable, ormread, ormwrite, ormupdate, orm2sql, class mapping, property mapping, object database
When NOT to Use
- Ad-hoc queries or data exploration — use
sqlread/fetchwithRowFilterinstead - Bulk imports/exports of thousands of rows — ORM is slower than
sqlwrite/sqlreadfor bulk operations - MongoDB, Cassandra, or Neo4j — ORM only works with relational databases (JDBC, ODBC, native MySQL/PostgreSQL/SQLite)
- MATLAB releases before R2023b — ORM is not available
Critical Rules
ORM Requirements
- ALWAYS inherit from
database.orm.mixin.Mappable— this is required for ORM functionality. - ALWAYS define at least one
PrimaryKeyproperty — ORM requires it for identity. - ALWAYS use class-level attribute
TableNameto specify the database table name. - ALWAYS include a constructor that handles
nargin == 0(allows preallocation by ORM). - ORM requires R2023b or later.
Supported Connections
- ORM works with: JDBC, ODBC, PostgreSQL native, MySQL native, SQLite native, DuckDB native.
- ORM does NOT work with: MongoDB (mongoc), Cassandra (apacheCassandra), or Neo4j.
Decision Framework
| Scenario | Use ORM | Use sqlread/sqlwrite |
|---|---|---|
| Object identity and business logic needed | Yes | No |
| Class-based type safety required | Yes | No |
| Domain validation on read/write | Yes | No |
| Ad-hoc queries or exploration | No | Yes |
| Bulk operations (thousands of rows) | No | Yes (faster) |
| No object mapping needed | No | Yes |
Core Concepts
Defining a Mappable Class
A Mappable class maps MATLAB properties to database columns:
classdef (TableName = "employees") Employee < database.orm.mixin.Mappable
properties (PrimaryKey, ColumnName = "EmployeeID")
ID int32
end
properties
Name string
Department string
Salary double
end
properties (ColumnName = "HireDate", ColumnType = "date")
StartDate datetime
end
methods
function obj = Employee(id, name, dept, salary, startDate)
if nargin ~= 0
obj.ID = id;
obj.Name = name;
obj.Department = dept;
obj.Salary = salary;
obj.StartDate = startDate;
end
end
function obj = promote(obj, raise)
obj.Salary = obj.Salary + raise;
end
end
end
Property Attributes Reference
| Attribute | Purpose | Example |
|---|---|---|
PrimaryKey | Marks property as the primary key (required) | properties (PrimaryKey) |
ColumnName | Maps property to a differently-named column | properties (ColumnName = "EmpID") |
ColumnType | Specifies the database column type | properties (ColumnType = "date") |
TableName | Class-level attribute for the target table name | classdef (TableName = "employees") |
Common Mistakes
% INCORRECT — class without PrimaryKey (ormwrite will error)
classdef (TableName = "employees") Employee < database.orm.mixin.Mappable
properties
Name string
Dept string
end
end
% ormwrite(conn, emp) → Error: No PrimaryKey defined
% CORRECT — PrimaryKey is required for ORM operations
classdef (TableName = "employees") Employee < database.orm.mixin.Mappable
properties(PrimaryKey)
EmployeeID int32
end
properties
Name string
Dept string
end
end
% INCORRECT — class not inheriting Mappable
classdef Employee
properties(PrimaryKey)
EmployeeID int32
end
end
% ormread(conn, "Employee") → Error! Not a Mappable class.
% CORRECT — must inherit from database.orm.mixin.Mappable
classdef Employee < database.orm.mixin.Mappable
properties(PrimaryKey)
EmployeeID int32
end
end
% INCORRECT — constructor without nargin==0 guard
classdef (TableName = "emp") Employee < database.orm.mixin.Mappable
methods
function obj = Employee(id, name)
obj.EmployeeID = id;
obj.Name = name;
end
end
end
% ormread will fail because ORM needs to construct empty objects
% CORRECT — nargin==0 guard allows ORM to construct empty objects
classdef (TableName = "emp") Employee < database.orm.mixin.Mappable
methods
function obj = Employee(id, name)
if nargin == 0
return;
end
obj.EmployeeID = id;
obj.Name = name;
end
end
end
Writing Objects with ormwrite
% Create and insert a single object
emp = Employee(1, "Alice", "Engineering", 95000, datetime(2023,3,15));
ormwrite(conn, emp);
% Create and insert an array of objects
emps = [Employee(2, "Bob", "Sales", 72000, datetime(2023,6,1)), ...
Employee(3, "Carol", "Engineering", 105000, datetime(2022,1,10))];
ormwrite(conn, emps);
Reading Objects with ormread
% Read all objects
allEmployees = ormread(conn, "Employee");
% Read with a row filter
rf = rowfilter("Salary");
highEarners = ormread(conn, "Employee", RowFilter=rf.Salary > 90000);
% Refresh an existing object from database
emp = ormread(conn, emp);
Updating Objects with ormupdate
% Modify object in MATLAB
emp = promote(emp, 5000);
% Push changes to database
ormupdate(conn, emp);
Deleting Records
ORM does not provide an ormdelete function. Use execute for deletion:
execute(conn, "DELETE FROM employees WHERE EmployeeID = 42");
Error Handling
try
ormwrite(conn, employeeObj);
catch ME
if contains(ME.message, "UNIQUE") || contains(ME.message, "primary key")
warning("Duplicate primary key. Use ormupdate instead.");
ormupdate(conn, employeeObj);
else
rethrow(ME);
end
end
Generating SQL from Class Definition
% View the CREATE TABLE SQL that corresponds to the class
sql = orm2sql(conn, "Employee");
disp(sql);
% Output: "CREATE TABLE employees (EmployeeID integer, Name text, ...)"
Complete Examples
Example 1: Full ORM Workflow — Define, Write, Read, Update
Step 1: Define the class (save as Product.m):
classdef (TableName = "products") Product < database.orm.mixin.Mappable
properties (PrimaryKey, ColumnName = "ProductNumber")
ID int32
end
properties
Name string
Description string
Quantity int32
end
properties (ColumnName = "UnitCost")
CostPerItem double
end
properties (ColumnType = "date")
InventoryDate datetime
end
methods
function obj = Product(id, name, desc, cost, qty, invDate)
if nargin ~= 0
obj.ID = id;
obj.Name = name;
obj.Description = desc;
obj.CostPerItem = cost;
obj.Quantity = qty;
obj.InventoryDate = invDate;
end
end
function obj = restock(obj, amount)
obj.Quantity = obj.Quantity + amount;
obj.InventoryDate = datetime("today");
end
end
end
Step 2: Use ORM operations (save as ormWorkflow.m):
(Uses the Product class defined above.)
% Connect to SQLite (no driver needed)
conn = sqlite("inventory.db", "create");
% Create and insert products
p1 = Product(1, "Widget", "Small widget", 9.99, 100, datetime(2024,1,1));
p2 = Product(2, "Gadget", "Large gadget", 29.99, 50, datetime(2024,1,1));
ormwrite(conn, [p1, p2]);
% Read all products back as objects
allProducts = ormread(conn, "Product");
disp(allProducts(1));
% Filter: find products under $15
rf = rowfilter("CostPerItem");
cheapProducts = ormread(conn, "Product", RowFilter=rf.CostPerItem < 15);
% Update: restock a product
cheapProducts(1) = restock(cheapProducts(1), 200);
ormupdate(conn, cheapProducts(1));
% Verify
refreshed = ormread(conn, cheapProducts(1));
disp(refreshed.Quantity); % Should be 300
close(conn);
Best Practices
- ALWAYS define Mappable classes in their own
.mfile — one class per file (MATLAB requirement). - ALWAYS include a constructor that handles
nargin == 0(allows preallocation). - ALWAYS mark exactly one property block with
PrimaryKey. - Use
ColumnNamewhen the MATLAB property name differs from the database column name. - Use
ColumnTypefor types that need explicit mapping (e.g.,"date"for datetime). - Use
ormreadwithRowFilterto import only the objects you need — pushes filter to database. - Use
orm2sqlto verify your class mapping matches the expected database schema before writing. - Modify objects in MATLAB using class methods, then push changes with
ormupdate.
Common Patterns
Pattern 1: Define-Write-Read-Update
% Define class → Product.m
p = Product(1, "Item", "Desc", 9.99, 10, datetime("today"));
ormwrite(conn, p);
p = ormread(conn, p); % Refresh from DB
p = restock(p, 50); % Modify in MATLAB
ormupdate(conn, p); % Push to DB
Pattern 2: Filtered Read with Business Logic
rf = rowfilter("Quantity");
lowStock = ormread(conn, "Product", RowFilter=rf.Quantity < 10);
for i = 1:numel(lowStock)
lowStock(i) = restock(lowStock(i), 100);
ormupdate(conn, lowStock(i));
end
Pattern 3: Schema Verification
sql = orm2sql(conn, "MyClass");
disp(sql); % Verify CREATE TABLE matches expectations
Checklist
Before finalizing, verify:
- Mappable class inherits from
database.orm.mixin.Mappable - Class has
TableNameattribute onclassdef - At least one property block has
PrimaryKeyattribute - Constructor handles
nargin == 0for preallocation - Class saved in its own
.mfile - Connection established and verified (
isopen(conn)) - Connection type is supported (JDBC, ODBC, MySQL/PostgreSQL/SQLite/DuckDB native)
- R2023b or later (ORM not available in earlier releases)
Troubleshooting
Issue: ormwrite fails with "class is not Mappable"
- Solution: Ensure the class inherits from
database.orm.mixin.Mappable. The class definition must include< database.orm.mixin.Mappable.
Issue: ormread returns empty array
- Solution: Verify the table exists in the database using
sqlfind(conn, tableName). Verify the classTableNameattribute matches the actual table name.
Issue: ormupdate doesn't change database values
- Solution:
ormupdatematches rows by primary key. Verify the object's primary key property value exists in the database. Useormreadto refresh and check.
Issue: Property-to-column mapping is incorrect
- Solution: Use
orm2sql(conn, "ClassName")to inspect the generated SQL. VerifyColumnNameandColumnTypeattributes match the database schema.
Issue: ORM functions not found ("Undefined function")
- Solution: ORM requires R2023b or later. Check your release with
ver('database'). For older releases, usesqlread/sqlwriteinstead.
Copyright 2026 The MathWorks, Inc.