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brunoborges merged 2 commits into from
Feb 20, 2026
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Add enterprise pattern: JDBC versus jOOQ #67

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Add JDBC versus jOOQ pattern (enterprise/jdbc-vs-jooq)
Copilot Feb 20, 2026
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54 changes: 54 additions & 0 deletions content/enterprise/jdbc-vs-jooq.json
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{
"id": 112,
"slug": "jdbc-vs-jooq",
"title": "JDBC versus jOOQ",
"category": "enterprise",
"difficulty": "intermediate",
"jdkVersion": "11",
"oldLabel": "Raw JDBC",
"modernLabel": "jOOQ",
"oldApproach": "Raw JDBC",
"modernApproach": "jOOQ SQL DSL",
"oldCode": "String sql = \"SELECT id, name, email FROM users \"\n + \"WHERE department = ? AND salary > ?\";\ntry (Connection con = ds.getConnection();\n PreparedStatement ps =\n con.prepareStatement(sql)) {\n ps.setString(1, department);\n ps.setBigDecimal(2, minSalary);\n ResultSet rs = ps.executeQuery();\n List<User> result = new ArrayList<>();\n while (rs.next()) {\n result.add(new User(\n rs.getLong(\"id\"),\n rs.getString(\"name\"),\n rs.getString(\"email\")));\n }\n return result;\n}",
"modernCode": "DSLContext dsl = DSL.using(ds, SQLDialect.POSTGRES);\n\nreturn dsl\n .select(USERS.ID, USERS.NAME, USERS.EMAIL)\n .from(USERS)\n .where(USERS.DEPARTMENT.eq(department)\n .and(USERS.SALARY.gt(minSalary)))\n .fetchInto(User.class);",
"summary": "Replace raw JDBC string-based SQL with jOOQ's type-safe, fluent SQL DSL.",
"explanation": "jOOQ (Java Object Oriented Querying) generates Java code from your database schema, turning table and column names into type-safe Java constants. The fluent DSL mirrors SQL syntax so queries are readable and composable. All parameters are bound automatically, eliminating SQL injection risk. Unlike JPA/JPQL, jOOQ embraces SQL fully — window functions, CTEs, RETURNING clauses, and vendor-specific extensions are all first-class.",
"whyModernWins": [
{
"icon": "🔒",
"title": "Type-safe columns",
"desc": "Column names are generated Java constants — typos and type mismatches become compiler errors instead of runtime failures."
},
{
"icon": "📖",
"title": "SQL fluency",
"desc": "The jOOQ DSL mirrors SQL syntax closely, so complex JOINs, subqueries, and CTEs stay readable."
},
{
"icon": "🛡️",
"title": "Injection-free by design",
"desc": "Parameters are always bound safely — no string concatenation means no SQL injection risk."
}
],
"support": {
"state": "available",
"description": "jOOQ open-source edition supports all major open-source databases; older commercial databases require a paid license"
},
"prev": "enterprise/spring-xml-config-vs-annotations",
"next": null,
"related": [
"enterprise/jdbc-vs-jpa",
"enterprise/jdbc-resultset-vs-jpa-criteria",
"enterprise/manual-transaction-vs-declarative"
],
"docs": [
{
"title": "jOOQ — Getting Started",
"href": "https://www.jooq.org/doc/latest/manual/getting-started/"
},
{
"title": "jOOQ — DSL API Reference",
"href": "https://www.jooq.org/javadoc/latest/"
}
]
}
2 changes: 1 addition & 1 deletion content/enterprise/spring-xml-config-vs-annotations.json
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"description": "Widely available since Spring Boot 1.0 (April 2014); Spring Boot 3 requires Java 17+"
},
"prev": "enterprise/jdbc-resultset-vs-jpa-criteria",
"next": null,
"next": "enterprise/jdbc-vs-jooq",
"related": [
"enterprise/ejb-vs-cdi",
"enterprise/jndi-lookup-vs-cdi-injection",
Expand Down