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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, visit the documentation page.

You can also ask questions and leave feedback on the Azure Container Apps GitHub page.

Partner – Microsoft – NPI EA (cat= Spring Boot)
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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, you can get started over on the documentation page.

And, you can also ask questions and leave feedback on the Azure Container Apps GitHub page.

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.

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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 – Mockito – NPI EA (tag = Mockito)
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eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
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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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eBook – Jackson – NPI EA (cat=Jackson)
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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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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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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 – MongoDB – NPI EA (tag=MongoDB)
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Traditional keyword-based search methods rely on exact word matches, often leading to irrelevant results depending on the user's phrasing.

By comparison, using a vector store allows us to represent the data as vector embeddings, based on meaningful relationships. We can then compare the meaning of the user’s query to the stored content, and retrieve more relevant, context-aware results.

Explore how to build an intelligent chatbot using MongoDB Atlas, Langchain4j and Spring Boot:

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Partner – LambdaTest – NPI EA (cat=Testing)
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Accessibility testing is a crucial aspect to ensure that your application is usable for everyone and meets accessibility standards that are required in many countries.

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Automated Accessibility Testing With Selenium

1. Overview

MyBatis is a popular Java-based persistence framework that simplifies database operations by mapping SQL queries to Java methods.

When developing applications using MyBatis, it’s often useful for debugging to see which SQL queries are being used.

In this tutorial, we’ll explore how to log SQL queries to the console in MyBatis.

2. Supported Logging Implementations

Before delving into SQL logging in MyBatis, it’s important to understand the supported logging implementations.

MyBatis is a flexible framework that can integrate with various logging frameworks, including SLF4J, Apache Commons Logging, Log4j 2, and JDK Logging. This article will explore two different logging options: stdout logging and SLF4J.

Stdout logging is beneficial during local feature development as it provides a simple approach for debugging. On the other hand, SLF4J is better suited for production applications, offering versatile abstractions that seamlessly integrate with users’ preferred logging frameworks during deployment.

3. Configuring Stdout Logging in MyBatis

Logging MyBatis SQL using stdout allows us to view the executed SQL statements directly on the console. This method is handy during development and debugging.

To enable stdout logging for MyBatis SQL, we need to add a logging setting in the mybatis-config file of our application:

<configuration>
    <settings>
        <setting name="logImpl" value="STDOUT_LOGGING"/>
    </settings>
</configuration>

After configuring the logImpl property to STDOUT_LOGGING, MyBatis will output the raw SQL statements, query parameters, and query results when executing SQL queries. The output typically includes detailed information such as the executed SQL, bound parameters, and the returned result set:

==>  Preparing: SELECT addressId, streetAddress FROM Address WHERE addressId = ? 
==> Parameters: 1(Integer)
<==    Columns: ADDRESSID, STREETADDRESS
<==        Row: 1, 123 Main Street

The output indicates preparing a SQL query to fetch data from the Address table using a specific ID. It shows the parameters, the result set columns (ADDRESSID and STREETADDRESS), and an illustrative row of data (ADDRESSID: 1, STREETADDRESS: 123 Main Street). Additionally, it tells us that the total count of returned rows was 1.

Apart from configuring the logImpl property in mybatis-config, we also have the option to set the log implementation programmatically. We can achieve this by calling the static method LogFactory.useStdOutLogging() before calling any other MyBatis method.

Using stdout logging has a downside in that it lacks fine-grained control over the logs. With stdout logging, MyBatis logs all executed SQL queries in detail, which can be overwhelming and make it difficult to focus on the essential information.

To achieve more precise control over logging, such as determining which part or mapper prints the logs, it’s recommended to use a logging framework.

4. Configuring SLF4J and Logback Logging in MyBatis

4.1. Setting Up SLF4J and Logback Logging

First, we need to add the SLF4J and Logback dependencies to our project’s build file. Since Logback automatically includes SLF4J as a transitive dependency, for Maven projects, we only need to specify the Logback dependency in the pom.xml file:

<dependency>
    <groupId>ch.qos.logback</groupId>
    <artifactId>logback-classic</artifactId>
    <version>1.4.14</version>
</dependency>

Next, we need to create a Logback configuration file, typically named logback.xml, to define the logging behavior:

<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE configuration>
<configuration>
    <appender name="stdout" class="ch.qos.logback.core.ConsoleAppender">
        <encoder>
            <pattern>%5level [%thread] - %msg%n</pattern>
        </encoder>
    </appender>
    <root level="INFO">
        <appender-ref ref="stdout"/>
    </root>
</configuration>

This configuration creates a root logger to log messages with a log level of INFO or higher and directs them to the stdout appender for output to the console.

Following that, similarly to the stdout logging configuration, we need to set the logImpl property to SLF4J in the mybatis-config file:

<configuration>
    <settings>
        <setting name="logImpl" value="SLF4J" />
    </settings>
</configuration>

4.2. Logging Mapper

By configuring the logging as mentioned above, logging the mapper becomes straightforward. We can set the logger name to the fully-qualified name of the mapper interface, or the namespace if an XML mapper file is used:

<logger name="com.baeldung.mybatis.mapper.AddressMapper" level="TRACE"/>

This allows easy logging control by associating the logger with the desired mapper. Only queries related to this mapper will have trace-level logging applied.

4.3. Logging a Specific Mapper Method

To selectively log the execution of a specific method, such as getFruitById in the FruitMapper, we can configure the logger accordingly:

<logger name="com.baeldung.mybatis.mapper.AddressMapper.getAddresses" level="TRACE"/>

With this configuration, the logger will only print the log to the console when executing the getFruitById method, allowing for more focused and granular logging control.

4.4. Logging Mappers in a Package

We can easily enable logging for all mappers under a specific package by setting the logger name to the package name:

<logger name="com.baeldung.mybatis.mapper" level="TRACE"/>

This approach allows for comprehensive logging across all mappers within the designated package.

4.5. Logging SQL Statements Only

In scenarios where queries can produce large result sets, we may prefer to view the SQL statements without logging the actual results. MyBatis is designed to log SQL statements at the DEBUG level, while it logs results at the TRACE level. If we wish to see the statement without the result, we need to set the logging level to DEBUG:

<logger name="com.baeldung.mybatis.mapper.AddressMapper" level="DEBUG"/>

5. Configuring SQL Logging in MyBatis With Spring Boot

Spring is a widely adopted framework, and in many cases, MyBatis is configured in conjunction with Spring instead of for standalone usage. When working with Spring Boot, there’s little to do to configure MyBatis SQL logging. Spring Boot utilizes logback as its default logging implementation, and MyBatis’ logging mechanism prioritizes SLF4J.

Therefore, to enable MyBatis SQL logging for a specific mapper, we add properties to our Spring Boot application.properties file:

logging.level.com.baeldung.mybatis.spring.ArticleMapper=DEBUG

By configuring the log level to DEBUG for the designated mapper, we’ll have detailed SQL logging for that particular mapper.

6. Conclusion

In this article, we looked at the configuration of SQL logging in MyBatis, including stdout logging, SLF4J with Logback, logging specific mappers/methods/packages, and integration with Spring Boot.

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 – Microsoft – NPI EA (cat = Baeldung)
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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, visit the documentation page.

You can also ask questions and leave feedback on the Azure Container Apps GitHub page.

Partner – Microsoft – NPI EA (cat = Spring Boot)
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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, visit the documentation page.

You can also ask questions and leave feedback on the Azure Container Apps GitHub page.

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:

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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.

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

>> Download the eBook

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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Partner – MongoDB – NPI EA (tag=MongoDB)
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Traditional keyword-based search methods rely on exact word matches, often leading to irrelevant results depending on the user's phrasing.

By comparison, using a vector store allows us to represent the data as vector embeddings, based on meaningful relationships. We can then compare the meaning of the user’s query to the stored content, and retrieve more relevant, context-aware results.

Explore how to build an intelligent chatbot using MongoDB Atlas, Langchain4j and Spring Boot:

>> Building an AI Chatbot in Java With Langchain4j and MongoDB Atlas

Course – LS – NPI EA (cat=REST)

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Get started with Spring Boot and with core Spring, through the Learn Spring course:

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eBook Jackson – NPI EA – 3 (cat = Jackson)