Draft:HotRod ORM Suite

• Comment: Some of this content is copied from https://github.com/hotrodorm/hotrod/, which is licensed under the Apache license. It is not clear whether this license is compatible with Wikipedia (CC-BY-SA) or not. I've asked about this at Wikipedia:Copyright problems. LittlePuppers (talk) 03:17, 30 July 2026 (UTC)

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HotRod
Stable release	5.1.24 / July 12, 2026 (2026-07-12)
Written in	Java
Operating system	Cross-platform
Platform	Java
Type	Object–relational mapping
License	Dual-licensed: Apache-2.0
Website	github.com/hotrodorm/hotrod
Repository	github.com/hotrodorm/hotrod

HotRod ORM Suite, HotRod 5 is an open-source Object-Relational Mapping (ORM) suite of products designed for Spring and Spring Boot, focused on rapid development and high-performance persistence in relational databases. Ir provides a full-featured API to retrieve and update data from and to a database using classes generated from a database schema.

HotRod follows the database-first approach, where the persistence layer is generated and updated from existing database schemas with tables and views.

Modules

The HotRod suite includes:

• CRUD - The main persistence layer that includes the operations for INSERT, UPDATE, SELECT, and DELETE
• LiveSQL - Flexible SQL querying directly from the applications with live syntax validation
• Nitro - To use any SQL query, including native extensions, combined with dynamic SQL as necessary
• Torcs - To identify slow queries at runtime and retrieve their execution plans

Highligths

This suite compares to other ORMs products:

• Entity Tuples: retrieves separated tuples from joins
• Automated schema discovery: discovers the tables and views in the schemas and prepares the persistence sayer
• Automated schema update: updates the persistence layer from schema changes without losing custom changes
• Comprehensive data type resolution: default and rule-based type resolution mapping
• Feature-rich LiveSQL: LiveSQL includes a developed and customizable expression language to express simple to complex queries
• Built-in low performace query detection: Torcs automatically detects and ranks slow queries by different criteria

More features are described at [1]

Examples

To compute the value of 3 * 7 in the database:

Row row = sql.select(sql.val(3).mult(7).as("total")).executeOne();

System.out.println("total=" + row.get("total")); // total=21

To select from a table:

List<Tuple1<Product>> rows = sql
  .select(p.star(), p.shipping.plus(p.tax).minus(p.discount).as("net"))
  .tuples()
  .from(p)
  .where(p.shipping.plus(p.tax).minus(p.discount).le(10))
  .orderBy(p.category, p.name.desc())
  .limit(50)
  .execute();

for (Tuple1<Product> r : rows) {
  Product prod = r.getA(); // all columns correctly named, cast, typed, and/or converted here
  System.out.println("Product: " + prod);
  System.out.println("Net: " + r.get("net"));
}

A join can be expressed as:

List<Tuple2<Invoice, Client>> rows = sql
  .select(i.star(), c.star(), i.amount.mult(c.discountPct).as("appliedDiscount"))
  .tuples()
  .from(i)
  .join(c, c.id.eq(i.clientId))
  .where(c.branchName.upper().like("%SOUTH%"))
  .orderBy(c.id, i.purchaseDate.desc())
  .execute();

for (Tuple2<Invoice, Client> r : rows) {
  Invoice inv = r.getA(); // all columns correctly named, cast, typed, and/or converted here
  Client cli = r.getB();  // same here
  System.out.println("Invoice: " + inv);
  System.out.println("Client: " + cli);
  System.out.println("Applied Discount: " + r.get("appliedDiscount"));
}

References

 This article incorporates text from a free content work. Licensed under Apache License 2.0 (license statement/permission). Text taken from HotRod ORM Suite​.

Category:Object–relational mapping Category:Java (programming language) libraries Category:Java enterprise platform