{"id":3695,"date":"2025-11-24T10:00:10","date_gmt":"2025-11-24T15:00:10","guid":{"rendered":"https:\/\/www.mymiller.name\/wordpress\/?p=3695"},"modified":"2025-11-24T10:00:10","modified_gmt":"2025-11-24T15:00:10","slug":"boosting-performance-tracking-method-access-with-spring-aop-security-and-a-high-performance-database","status":"publish","type":"post","link":"https:\/\/www.mymiller.name\/wordpress\/spring_aop\/boosting-performance-tracking-method-access-with-spring-aop-security-and-a-high-performance-database\/","title":{"rendered":"Boosting Performance: Tracking Method Access with Spring AOP, Security, and a High-Performance Database"},"content":{"rendered":"\n<div class=\"wp-block-jetpack-markdown\"><p>In our previous blog post, we explored how to track method access in Spring using AOP, Security, and JPA. While that approach provides a solid foundation, let\u2019s now take it a step further by enhancing performance and capturing additional valuable information, such as method execution time. We\u2019ll also switch to a more performant database to handle high-volume applications efficiently.<\/p>\n<p><strong>The Need for Speed<\/strong><\/p>\n<p>In real-world scenarios, applications often experience a significant volume of method calls. Logging each access to a traditional relational database like MySQL or PostgreSQL can lead to performance bottlenecks, especially under heavy load. To address this, we\u2019ll switch to a high-performance database designed for handling large-scale data ingestion and retrieval, such as NoSQL databases like MongoDB or Cassandra.<\/p>\n<p><strong>Tracking Execution Time<\/strong><\/p>\n<p>In addition to knowing who accessed which methods and when, it\u2019s often valuable to track how long each method takes to execute. This information can help identify performance bottlenecks and optimize your application\u2019s efficiency.<\/p>\n<p><strong>Modified Solution<\/strong><\/p>\n<p><strong>1. Updated JPA Entity<\/strong><\/p>\n<pre><code class=\"language-java\">@Entity\npublic class AccessLog {\n\n    @Id\n    @GeneratedValue(strategy = GenerationType.IDENTITY)\n    private Long id;\n\n    private String username;\n    private String methodName;\n    private LocalDateTime accessTime;\n    private long executionTime; \/\/ New field to store execution time in milliseconds\n\n    \/\/ Getters and setters\n}\n<\/code><\/pre>\n<p><strong>2. Enhanced Aspect<\/strong><\/p>\n<pre><code class=\"language-java\">@Aspect\n@Component\npublic class MethodAccessTracker {\n\n    \/\/ ... (Autowired repositories and SecurityContextHolder)\n\n    @Around(&quot;@annotation(TrackMethodAccess)&quot;)\n    public Object trackMethodAccess(ProceedingJoinPoint joinPoint) throws Throwable {\n        \/\/ ... (Logic to get method and user details)\n\n        long startTime = System.currentTimeMillis();\n        Object result = joinPoint.proceed(); \/\/ Execute the method\n        long endTime = System.currentTimeMillis();\n        long executionTime = endTime - startTime;\n\n        \/\/ Log the access with execution time\n        AccessLog accessLog = new AccessLog();\n        accessLog.setUsername(username);\n        accessLog.setMethodName(methodName);\n        accessLog.setAccessTime(LocalDateTime.now());\n        accessLog.setExecutionTime(executionTime);\n        accessLogRepository.save(accessLog);\n\n        return result;\n    }\n}\n<\/code><\/pre>\n<p>We now measure the execution time by recording the start and end times around the method call and store it in the <code>AccessLog<\/code> entity.<\/p>\n<p><strong>3. Switch to a High-Performance Database<\/strong><\/p>\n<p>Replace your JPA repository with one that interacts with a high-performance database like MongoDB or Cassandra. You\u2019ll need to configure Spring Data to work with your chosen database and update the repository interface accordingly.<\/p>\n<p><strong>Benefits of the Enhanced Solution<\/strong><\/p>\n<ul>\n<li><strong>Improved Performance:<\/strong> The use of a high-performance database ensures efficient handling of access logs, even under heavy load.<\/li>\n<li><strong>Valuable Insights:<\/strong> Tracking execution time provides crucial information for performance optimization.<\/li>\n<li><strong>Flexibility:<\/strong> You can easily adapt this solution to other NoSQL databases or even consider using a dedicated logging framework like Logstash or Graylog for even more powerful log management and analysis capabilities.<\/li>\n<\/ul>\n<p>By incorporating a high-performance database and tracking execution time, we\u2019ve taken our method access tracking solution to the next level. This enhanced approach empowers you to gain deeper insights into your application\u2019s behavior, identify performance bottlenecks, and ensure optimal efficiency even in demanding environments.<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":3696,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[440],"tags":[69,319],"series":[],"class_list":["post-3695","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-spring_aop","tag-java-2","tag-spring"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"https:\/\/www.mymiller.name\/wordpress\/wp-content\/uploads\/2024\/09\/money-2173148_1280-jpg.avif","jetpack-related-posts":[{"id":3692,"url":"https:\/\/www.mymiller.name\/wordpress\/spring_aop\/tracking-method-access-in-spring-aop-security-and-jpa\/","url_meta":{"origin":3695,"position":0},"title":"Tracking Method Access in Spring: AOP, Security, and JPA","author":"Jeffery Miller","date":"November 20, 2025","format":false,"excerpt":"In the world of Spring applications, understanding how your methods are accessed can be crucial for various reasons like monitoring usage patterns, auditing security, or simply gathering insights into your application\u2019s behavior. 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