Partner – Orkes – NPI EA (cat=Spring)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

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Partner – Orkes – NPI EA (tag=Microservices)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

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eBook – Guide Spring Cloud – NPI EA (cat=Spring Cloud)
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Let's get started with a Microservice Architecture with Spring Cloud:

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eBook – Mockito – NPI EA (tag = Mockito)
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Mocking is an essential part of unit testing, and the Mockito library makes it easy to write clean and intuitive unit tests for your Java code.

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eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
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Handling concurrency in an application can be a tricky process with many potential pitfalls. A solid grasp of the fundamentals will go a long way to help minimize these issues.

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eBook – Reactive – NPI EA (cat=Reactive)
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Spring 5 added support for reactive programming with the Spring WebFlux module, which has been improved upon ever since. Get started with the Reactor project basics and reactive programming in Spring Boot:

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eBook – Java Streams – NPI EA (cat=Java Streams)
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Since its introduction in Java 8, the Stream API has become a staple of Java development. The basic operations like iterating, filtering, mapping sequences of elements are deceptively simple to use.

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To get a better understanding on how Streams work and how to combine them with other language features, check out our guide to Java Streams:

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eBook – Jackson – NPI EA (cat=Jackson)
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Do JSON right with Jackson

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eBook – HTTP Client – NPI EA (cat=Http Client-Side)
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eBook – Persistence – NPI EA (cat=Persistence)
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eBook – RwS – NPI EA (cat=Spring MVC)
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Building a REST API with Spring?

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Course – LS – NPI EA (cat=Jackson)
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Course – RWSB – NPI EA (cat=REST)
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Explore Spring Boot 3 and Spring 6 in-depth through building a full REST API with the framework:

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Course – LSS – NPI EA (cat=Spring Security)
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Yes, Spring Security can be complex, from the more advanced functionality within the Core to the deep OAuth support in the framework.

I built the security material as two full courses - Core and OAuth, to get practical with these more complex scenarios. We explore when and how to use each feature and code through it on the backing project.

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Partner – LambdaTest – NPI EA (cat=Testing)
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Browser testing is essential if you have a website or web applications that users interact with. Manual testing can be very helpful to an extent, but given the multiple browsers available, not to mention versions and operating system, testing everything manually becomes time-consuming and repetitive.

To help automate this process, Selenium is a popular choice for developers, as an open-source tool with a large and active community. What's more, we can further scale our automation testing by running on theLambdaTest cloud-based testing platform.

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Partner – Orkes – NPI EA (cat=Java)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

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Course – LSD – NPI EA (tag=Spring Data JPA)
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Spring Data JPA is a great way to handle the complexity of JPA with the powerful simplicity of Spring Boot.

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Partner – Moderne – NPI EA (cat=Spring Boot)
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Refactor Java code safely — and automatically — with OpenRewrite.

Refactoring big codebases by hand is slow, risky, and easy to put off. That’s where OpenRewrite comes in. The open-source framework for large-scale, automated code transformations helps teams modernize safely and consistently.

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1. Overview

In this tutorial, we’ll discuss the Spring JDBC framework’s JdbcTemplate class’s ability to execute a database stored procedure. Database stored procedures are similar to functions. While functions support input parameters and have a return type, procedures support both input and output parameters.

2. Prerequisite

Let’s consider a simple stored procedure in the PostgreSQL database:

CREATE OR REPLACE PROCEDURE sum_two_numbers(
    IN num1 INTEGER,
    IN num2 INTEGER,
    OUT result INTEGER
)
LANGUAGE plpgsql
AS '
BEGIN
    sum_result := num1 + num2;
END;
';

The stored procedure sum_two_numbers takes two input numbers and returns their sum in the output parameter sum_result. Generally, stored procedures can support multiple input and output parameters. However, for this example, we’ve considered a single output parameter.

3. Using the JdbcTemplate#call() Method

Let’s see how to invoke the database stored procedure by using the JdbcTemplate#call() method:

void givenStoredProc_whenCallableStatement_thenExecProcUsingJdbcTemplateCallMethod() {
    List<SqlParameter> procedureParams = List.of(new SqlParameter("num1", Types.INTEGER),
      new SqlParameter("num2", Types.NUMERIC),
      new SqlOutParameter("result", Types.NUMERIC)
    );

    Map<String, Object> resultMap = jdbcTemplate.call(new CallableStatementCreator() {
        @Override
        public CallableStatement createCallableStatement(Connection con) throws SQLException {
            CallableStatement callableStatement = con.prepareCall("call sum_two_numbers(?, ?, ?)");
            callableStatement.registerOutParameter(3, Types.NUMERIC);
            callableStatement.setInt(1, 4);
            callableStatement.setInt(2, 5);

            return callableStatement;
        }
    }, procedureParams);

    assertEquals(new BigDecimal(9), resultMap.get("result"));
}

First, we define the IN parameters num1 and num2 of the stored procedure sum_two_numbers() with the help of the SqlParameter class. Then, we define the OUT parameter result with the SqlOutParameter.

Later, we pass the CallableStatementCreater object and the List<SqlParameter> in procedureParams to the JdbcTemplate#call() method.

In the CallableStatementCreator#createCallableStatement() method, we create the CallableStatement object by calling the Connection#prepareCall() method. Similar to PreparedStatement, we set the IN parameters in the CallableStatment object.

However, we must register the OUT parameter using the registerOutParameter() method.

Finally, we retrieve the result from the Map object in resultMap.

4. Using JdbcTemplate#execute() Method

There could be scenarios where we would need more control over the CallableStatement. Hence, the Spring framework provides the CallableStatementCallback interface similar to PreparedStatementCallback. Let’s see how to use it in the JdbcTemplate#execute() method:

void givenStoredProc_whenCallableStatement_thenExecProcUsingJdbcTemplateExecuteMethod() {
    String command = jdbcTemplate.execute(new CallableStatementCreator() {
        @Override
        public CallableStatement createCallableStatement(Connection con) throws SQLException {
            CallableStatement callableStatement = con.prepareCall("call sum_two_numbers(?, ?, ?)");
            return callableStatement;
        }
    }, new CallableStatementCallback<String>() {
        @Override
        public String doInCallableStatement(CallableStatement cs) throws SQLException, DataAccessException {
            cs.setInt(1, 4);
            cs.setInt(2, 5);
            cs.registerOutParameter(3, Types.NUMERIC);
            cs.execute();
            BigDecimal result = cs.getBigDecimal(3);
            assertEquals(new BigDecimal(9), result);

            String command = "4 + 5 = " + cs.getBigDecimal(3);
            return command;
        }
    });
    assertEquals("4 + 5 = 9", command);
}

The CallableStatementCreator object parameter creates the CallableStatement object. Later, it’s available in the CallableStatementCallback#doInCallableStatement() method.

In this method, we set the IN and OUT parameters in the CallableStatement object, and later, we call CallableStatement#execute(). Finally, we fetch the result and form the command  4 + 5 = 9.

We can reuse the CallableStatement object in doInCallableStatement() method multiple times to execute the stored procedure with different parameters.

5. Using SimpleJdbcCall

The SimpleJdbcCall class internally uses JdbcTemplate to execute stored procedures and functions. It also supports fluent-style method chaining, making it simpler to understand and use.

Additionally, SimpleJdbcCall is designed to work in multi-threaded scenarios. Hence, it allows for safe, concurrent access by multiple threads without requiring any external synchronization.

Let’s see how we can call the stored procedure sum_two_numbers with the help of this class:

void givenStoredProc_whenJdbcTemplate_thenCreateSimpleJdbcCallAndExecProc() {
    SimpleJdbcCall simpleJdbcCall = new SimpleJdbcCall(jdbcTemplate).withProcedureName("sum_two_numbers");

    Map<String, Integer> inParams = new HashMap<>();
    inParams.put("num1", 4);
    inParams.put("num2", 5);
    Map<String, Object> resultMap = simpleJdbcCall.execute(inParams);
    assertEquals(new BigDecimal(9), resultMap.get("result"));
}

First, we instantiate the SimpleJdbcCall class by passing the JdbcTemplate object to its constructor. Under the hood, this JdbcTemplate object executes the stored procedure. Then, we pass the procedure name to SimpleJdbcCall#withProcedureName() method.

Finally, we get the results in a Map object by passing the input parameters in a Map to the SimpleJdbcCall#execute() method. The results are stored against the keys with the name of the OUT parameter.

Interestingly, there’s no need to define the metadata of the stored procedure parameters because the SimpleJdbcCall class can read the database metadata. This support is limited to a few databases such as Derby, MySQL, Microsoft SQL Server, Oracle, DB2, Sybase, and PostgreSQL.

Hence, for others, we need to define the parameters explicitly in the SimpleJdbcCall#declareParameters() method:

@Test
void givenStoredProc_whenJdbcTemplateAndDisableMetadata_thenCreateSimpleJdbcCallAndExecProc() {
    SimpleJdbcCall simpleJdbcCall = new SimpleJdbcCall(jdbcTemplate)
      .withProcedureName("sum_two_numbers")
      .withoutProcedureColumnMetaDataAccess();
    simpleJdbcCall.declareParameters(new SqlParameter("num1", Types.NUMERIC),
      new SqlParameter("num2", Types.NUMERIC),
      new SqlOutParameter("result", Types.NUMERIC));

    Map<String, Integer> inParams = new HashMap<>();
    inParams.put("num1", 4);
    inParams.put("num2", 5);
    Map<String, Object> resultMap = simpleJdbcCall.execute(inParams);
    assertEquals(new BigDecimal(9), resultMap.get("result"));
}

We disabled the database metadata processing by calling the SimpleJdbcCall#withoutProcedureColumnMetaDataAccess() method. The rest of the steps remain the same as before.

6. Using StoredProcedure

StoredProcedure is an abstract class, and we can override its execute() method for additional processing:

public class StoredProcedureImpl extends StoredProcedure {
    public StoredProcedureImpl(JdbcTemplate jdbcTemplate, String procName) {
        super(jdbcTemplate, procName);
    }

    private String doSomeProcess(Object procName) {
        //do some processing
        return null;
    }

    @Override
    public Map<String, Object> execute(Map<String, ?> inParams) throws DataAccessException {
        doSomeProcess(inParams);
        return super.execute(inParams);
    }
}

Let’s see how to use this class:

@Test
void givenStoredProc_whenJdbcTemplate_thenCreateStoredProcedureAndExecProc() {
    StoredProcedure storedProcedure = new StoredProcedureImpl(jdbcTemplate, "sum_two_numbers");
    storedProcedure.declareParameter(new SqlParameter("num1", Types.NUMERIC));
    storedProcedure.declareParameter(new SqlParameter("num2", Types.NUMERIC));
    storedProcedure.declareParameter(new SqlOutParameter("result", Types.NUMERIC));

    Map<String, Integer> inParams = new HashMap<>();
    inParams.put("num1", 4);
    inParams.put("num2", 5);

    Map<String, Object> resultMap = storedProcedure.execute(inParams);
    assertEquals(new BigDecimal(9), resultMap.get("result"));
}

Like SimpleJdbcCall, we first instantiate the subclass of StoredProcedure by passing in the JdbcTemplate and stored procedure name. Then we set the parameters, execute the stored procedure, and get the results in a Map.

Additionally, we must remember to declare the SqlParameter objects in the same order in which the parameters are passed to the stored procedure.

7. Conclusion

In this article, we discussed the JdbcTemplate‘s capability to execute stored procedures. JdbcTemplate has been the core class for handling data operations in databases. It can be used directly or implicitly with the help of wrapper classes like SimpleJdbcCall and StoredProcedure.

The code backing this article is available on GitHub. Once you're logged in as a Baeldung Pro Member, start learning and coding on the project.
Baeldung Pro – NPI EA (cat = Baeldung)
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Baeldung Pro comes with both absolutely No-Ads as well as finally with Dark Mode, for a clean learning experience:

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Once the early-adopter seats are all used, the price will go up and stay at $33/year.

Partner – Orkes – NPI EA (cat = Spring)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

Try a 14-Day Free Trial of Orkes Conductor today.

Partner – Orkes – NPI EA (tag = Microservices)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

Try a 14-Day Free Trial of Orkes Conductor today.

eBook – HTTP Client – NPI EA (cat=HTTP Client-Side)
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The Apache HTTP Client is a very robust library, suitable for both simple and advanced use cases when testing HTTP endpoints. Check out our guide covering basic request and response handling, as well as security, cookies, timeouts, and more:

>> Download the eBook

eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
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Handling concurrency in an application can be a tricky process with many potential pitfalls. A solid grasp of the fundamentals will go a long way to help minimize these issues.

Get started with understanding multi-threaded applications with our Java Concurrency guide:

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eBook – Java Streams – NPI EA (cat=Java Streams)
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Since its introduction in Java 8, the Stream API has become a staple of Java development. The basic operations like iterating, filtering, mapping sequences of elements are deceptively simple to use.

But these can also be overused and fall into some common pitfalls.

To get a better understanding on how Streams work and how to combine them with other language features, check out our guide to Java Streams:

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eBook – Persistence – NPI EA (cat=Persistence)
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Working on getting your persistence layer right with Spring?

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Course – LS – NPI EA (cat=REST)

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Partner – Moderne – NPI EA (tag=Refactoring)
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Modern Java teams move fast — but codebases don’t always keep up. Frameworks change, dependencies drift, and tech debt builds until it starts to drag on delivery. OpenRewrite was built to fix that: an open-source refactoring engine that automates repetitive code changes while keeping developer intent intact.

The monthly training series, led by the creators and maintainers of OpenRewrite at Moderne, walks through real-world migrations and modernization patterns. Whether you’re new to recipes or ready to write your own, you’ll learn practical ways to refactor safely and at scale.

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