How to solve the problem of printing spaces in IDEA console logs?
IntelliJ IDEA Console Log Space Problem Solution
During IntelliJ IDEA development, the appearance of extra spaces in the console log will affect readability. This article provides solutions, mainly targeting the use of Logback log framework.
The root cause of the problem is usually in the log format configuration of Logback. By modifying the logback.xml
file, you can adjust the log output format and eliminate unnecessary spaces.
Here is an improved Logback configuration example that effectively avoids extra spaces:
<configuration> <appender name="STDOUT" class="ch.qos.logback.core.ConsoleAppender"> <encoder> <pattern>%d{YYYY-MM-dd HH:mm:ss} [%thread] %-5level %logger{36} - %msg%n</pattern> </encoder> </appender> <root level="TRACE"> <appender-ref ref="STDOUT"></appender-ref> </root> <logger name="Application" level="INFO"></logger> </configuration>
In this configuration, %n
represents a newline character, ensuring that each log information is individually lined and avoiding space interference. %-5level
controls the log level within 5 characters to avoid unnecessary spaces caused by level names. Other formatting elements have also been streamlined to make the output simpler.
After modifying the configuration, restart the application and you will see a clearer and cleaner console log output. Please note that if you use other log frameworks (such as Log4j), you need to adjust the log format according to the configuration files of the corresponding framework.
The above is the detailed content of How to solve the problem of printing spaces in IDEA console logs?. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

The following steps can be used to resolve the problem that Navicat cannot connect to the database: Check the server connection, make sure the server is running, address and port correctly, and the firewall allows connections. Verify the login information and confirm that the user name, password and permissions are correct. Check network connections and troubleshoot network problems such as router or firewall failures. Disable SSL connections, which may not be supported by some servers. Check the database version to make sure the Navicat version is compatible with the target database. Adjust the connection timeout, and for remote or slower connections, increase the connection timeout timeout. Other workarounds, if the above steps are not working, you can try restarting the software, using a different connection driver, or consulting the database administrator or official Navicat support.

Common reasons why Navicat cannot connect to the database and its solutions: 1. Check the server's running status; 2. Check the connection information; 3. Adjust the firewall settings; 4. Configure remote access; 5. Troubleshoot network problems; 6. Check permissions; 7. Ensure version compatibility; 8. Troubleshoot other possibilities.

Common problems and solutions for Hadoop Distributed File System (HDFS) configuration under CentOS When building a HadoopHDFS cluster on CentOS, some common misconfigurations may lead to performance degradation, data loss and even the cluster cannot start. This article summarizes these common problems and their solutions to help you avoid these pitfalls and ensure the stability and efficient operation of your HDFS cluster. Rack-aware configuration error: Problem: Rack-aware information is not configured correctly, resulting in uneven distribution of data block replicas and increasing network load. Solution: Double check the rack-aware configuration in the hdfs-site.xml file and use hdfsdfsadmin-printTopo

Redis memory fragmentation refers to the existence of small free areas in the allocated memory that cannot be reassigned. Coping strategies include: Restart Redis: completely clear the memory, but interrupt service. Optimize data structures: Use a structure that is more suitable for Redis to reduce the number of memory allocations and releases. Adjust configuration parameters: Use the policy to eliminate the least recently used key-value pairs. Use persistence mechanism: Back up data regularly and restart Redis to clean up fragments. Monitor memory usage: Discover problems in a timely manner and take measures.

Troubleshooting and solutions to the company's security software that causes some applications to not function properly. Many companies will deploy security software in order to ensure internal network security. ...

VS Code can run on Windows 8, but the experience may not be great. First make sure the system has been updated to the latest patch, then download the VS Code installation package that matches the system architecture and install it as prompted. After installation, be aware that some extensions may be incompatible with Windows 8 and need to look for alternative extensions or use newer Windows systems in a virtual machine. Install the necessary extensions to check whether they work properly. Although VS Code is feasible on Windows 8, it is recommended to upgrade to a newer Windows system for a better development experience and security.

VS Code can be used to write Python and provides many features that make it an ideal tool for developing Python applications. It allows users to: install Python extensions to get functions such as code completion, syntax highlighting, and debugging. Use the debugger to track code step by step, find and fix errors. Integrate Git for version control. Use code formatting tools to maintain code consistency. Use the Linting tool to spot potential problems ahead of time.

Redis memory soaring includes: too large data volume, improper data structure selection, configuration problems (such as maxmemory settings too small), and memory leaks. Solutions include: deletion of expired data, use compression technology, selecting appropriate structures, adjusting configuration parameters, checking for memory leaks in the code, and regularly monitoring memory usage.
