The article explains why Spring Boot continues to use Jackson as its default JSON serializer, detailing the automatic ObjectMapper/JsonMapper creation, the HTTP message conversion process, Jackson’s balanced strengths, practical code samples, and how to switch to alternatives like Gson, JSON‑B, or Fastjson2.
By replacing the naive List‑based deserialization with Jackson’s JsonParser streaming in Spring Boot 3.5.0, the article shows how processing ~300 k Student records can cut peak heap from 220 MB to 22 MB, avoiding OOM while filtering records on the fly.
This article explains the major breaking changes introduced in Jackson 3—including the JDK 17 baseline, package and groupId renames, immutable JsonMapper, unchecked exceptions, default configuration shifts, performance tweaks, and module consolidation—while providing step‑by‑step migration advice and a quick‑reference table for developers upgrading from Jackson 2.
The article demonstrates how Spring Boot can automatically convert strings to enums for query and path parameters, introduces a unified StringToEnumConverterFactory, configures Jackson for case‑insensitive enum deserialization in @RequestBody, and uses a JPA AttributeConverter to persist enums, removing repetitive manual conversion code.
The article explains how @RequestBody binds JSON via HttpMessageConverter using Jackson, then details four frequent issues—empty bodies, extra or unknown fields, date‑format mismatches, and deep nesting causing circular serialization—and provides concrete code‑level solutions such as validation, global exception handling, Jackson configuration, and DTO usage.
Quarkus 3.37, released on June 24, 2026, introduces experimental JLink support, a full Hibernate ORM 7.4 upgrade, a reflection‑free Jackson serializer, AI‑native extensions, and numerous bug fixes, delivering up to 50‑fold faster startup, 70% lower memory usage, and measurable performance gains for Java cloud‑native applications.
Spring Boot 4.1.0 introduces official gRPC support, unified Jackson configuration, HTTP client SSRF protection, enhanced observability with OpenTelemetry, and flexible Log4j file‑rotation strategies, while the roadmap confirms a one‑year lifecycle for each version and signals the shift to the 4.x era for Java microservices.
This article presents four practical solutions for the Spring Boot 3.5.0 “Could not write JSON: failed to lazily initialize a collection… no Session” error that occurs when serializing bidirectional one-to-many relationships, covering @JsonIgnore, JPQL fetch joins, enabling OpenEntityManagerInView, and using the Jackson Hibernate6 module, with code examples and results.
A four‑month investigation revealed that Jackson’s default object‑mapper consumed over 60% of CPU time during order‑submission requests, causing 900 ms latency; switching to Jackson’s streaming API reduced average response time from 912 ms to 28 ms, cut GC pauses, and increased throughput eight‑fold, while introducing readability and validation trade‑offs.
This article explains how to avoid null‑overwrites during partial updates in Spring Boot by using Jackson's @JsonMerge annotation, demonstrates handling of nested objects and null values with @JsonSetter, and shows how to create a custom @JsonMergePatch argument resolver for clean controller code.
When bidirectional JPA entities cause infinite JSON recursion in Spring Boot, the article explains why @JsonIgnore is suboptimal and demonstrates four advanced alternatives—@JsonIgnoreProperties, @JsonManagedReference/@JsonBackReference, the Jackson Hibernate module, and @JsonIdentityInfo—each with code samples and runtime results.
The article explains why front‑end date and enum parameters often cause parsing errors in Spring applications, describes the two independent conversion mechanisms in Spring MVC and Jackson, and provides a step‑by‑step guide to building global custom converters that unify date formats and enum mappings across the whole project.
This guide shows how to mask sensitive fields like phone numbers and ID cards in Spring Boot responses without modifying business code, using a global ResponseBodyAdvice, JsonPath rules defined in application.yml, and optional custom @Masking annotation for fine-grained control.
This article explores five practical approaches for processing dynamic JSON payloads in Spring Boot 3.5—using Map, JsonNode, ObjectNode, @JsonAnySetter, and Jackson polymorphic deserialization—detailing code examples, advantages, drawbacks, suitable scenarios, and how to apply runtime validation with networknt’s JSON Schema validator.
This article shows how to replace static DTO definitions with a zero‑intrusion, high‑concurrency solution for column‑level data masking in Spring Boot 3.5.0 by leveraging Jackson's serialization pipeline, a global Mixin, custom annotations, a contextual serializer, and a ResponseBodyAdvice that respects request‑scoped permissions.
This article demonstrates how to use Jackson’s @JsonMixin and @JsonFilter annotations together with a custom ObjectMapper and PropertyFilter in Spring Boot 3.5.0 to control API response fields dynamically via request parameters, avoiding multiple DTOs or heavyweight GraphQL setups.
This article explains how to protect user privacy in SpringBoot applications by masking sensitive fields such as phone numbers, ID cards, emails, bank cards, names, and addresses during JSON serialization using a custom Jackson serializer and annotation, offering a zero‑intrusion, high‑performance solution compared to other approaches.
This comprehensive guide walks you through why Jackson annotation tweaks are essential, presents a full annotation hierarchy, demonstrates over 25 core annotations with concrete code examples, covers polymorphic handling, special scenarios, global Spring Boot 3 configuration, production best practices, common pitfalls, performance tips, an end‑to‑end e‑commerce example, and testing strategies, all aimed at mastering JSON serialization in Spring Boot.
This article explains why using a fixed DTO for a constantly changing /orders endpoint is problematic, compares simple Map and JsonNode approaches, and presents a robust polymorphic @JsonTypeInfo solution that provides type safety, IDE support, and easy extensibility.
The article explains how Lombok’s @Data annotation generates getter and setter methods with a lowercase first letter for camel‑case fields, causing Jackson to serialize JSON property names in all lowercase, and offers three fixes: write methods manually, use @JsonProperty, or rename fields to avoid lower‑upper patterns.
Upgrading to Spring Boot 4 brings Jackson 3, which introduces four major breaking changes—package reorganization, replacement of ObjectMapper with JsonMapper, a shift to ISO‑8601 date serialization, and the removal of checked exceptions—each explained with code examples, migration tips, and the rationale behind the design.
This tutorial demonstrates how to use Jackson's JsonNode within a Spring Boot 3 environment to parse dynamic JSON, access and modify fields, convert nodes to POJOs, traverse the tree, and perform path‑based queries, providing complete code examples for each operation.
This article demonstrates a lazy, field‑level permission solution for Spring Boot 3 + Java 17 that uses annotations, AOP, and a custom Jackson serializer to hide unauthorized fields without modifying controllers, DTOs, or business logic.
JSONPath offers a concise, XPath‑like syntax for extracting data from complex JSON structures, and this guide shows how to integrate it into Spring Boot, compare FastJSON, Jackson, and Gson implementations, and provides practical code examples, advanced configurations, and selection advice for Java projects.
After upgrading to Spring Boot 4, the article explains why both Jackson 2 and Jackson 3 appear together, outlines the four major breaking changes—including package reorganization, the shift from ObjectMapper to JsonMapper, new default date serialization, and the removal of checked exceptions—and offers migration tips.
This guide walks you through upgrading a Spring Boot project from 3.x to 4.0, covering Gradle version bump, dependency version catalog updates, starter module changes, Jackson 3 migration, Redisson API adjustments, and verification steps, while highlighting common pitfalls and official upgrade paths.
This tutorial walks through Jackson usage in Spring Boot 3, covering annotations for ignoring fields, renaming properties, custom serialization/deserialization, constructor handling, property visibility, date formatting, efficient JSON read/write, and enum handling with clear code samples and output screenshots.
This guide explains how to perform bidirectional conversion between JSON and CSV in Spring Boot using lightweight open‑source libraries such as Jackson, Apache Commons CSV or OpenCSV, as well as commercial APIs, covering serialization, deserialization, custom handling of nested objects, and provides complete code examples.
Field-level permission control provides fine-grained data access in Spring Boot applications, allowing read/write restrictions per object field; the article explains core concepts, compares annotation, AOP, serializer, and database approaches, and presents a complete implementation using Spring Boot 3.1, Java 17, Jackson, and Spring Security.
SpringBoot’s out‑of‑the‑box defaults—such as Tomcat’s tiny connection pool, HikariCP’s 10‑thread limit, lazy‑loaded JPA entities, system‑timezone JSON serialization, un‑rolled Logback files, unlimited in‑memory cache, exposed Actuator endpoints, tiny file‑upload limits, per‑task thread creation for @Async, and unlimited transaction timeouts—can silently cripple production systems, so each must be reviewed and tuned for real‑world workloads.
The article explains how Jackson Views can consolidate multiple DTO classes into a single DTO by using view interfaces and @JsonView annotations, dramatically reducing code duplication, simplifying maintenance, and providing flexible field selection for different API scenarios.
This article compares four techniques—@JsonValue/@JsonCreator, @JsonFormat, custom serializers/deserializers, and a global @JsonComponent—to control how Java enums are serialized and deserialized by Jackson in Spring Boot, and outlines important pitfalls and version‑compatibility tips.
This article walks through advanced Jackson techniques for JSON processing in Spring Boot 3, including path queries, multi‑value extraction, view control, dynamic property handling, object unwrapping, and raw JSON insertion, each illustrated with concise JUnit test examples and expected outputs.
The article reveals how default Jackson JSON serialization can become a hidden CPU bottleneck in high‑traffic Spring Boot services, explains why full entity objects inflate serialization time, and presents practical optimizations such as @JsonView, custom ObjectMapper settings, hand‑written serializers, and alternative data formats to dramatically cut latency and cloud costs.
This article explains how to fine‑tune JSON responses in Spring Boot 3 using Jackson annotations such as @JsonProperty, @JsonFormat, @JsonView, and Mix‑ins, covering field hiding, renaming, null handling, date/number formatting, view‑based serialization, and custom ObjectMapper configuration with code examples.
This guide explains how to use Jackson's @JsonView annotation in Spring Boot to define view interfaces, annotate entity fields, configure controller methods, handle dynamic view selection, and apply best‑practice settings for secure and efficient JSON responses.
This article explains why JSON field mismatches cause backend failures in microservice architectures and presents three robust Spring Boot solutions—using a Map, Jackson's JsonNode, and @JsonAnySetter/@JsonAnyGetter—to flexibly and safely adapt dynamic JSON structures.
This article dives into advanced Jackson capabilities for Spring Boot 3, covering file, stream, byte array, URL, typed Map, JsonNode, ObjectNode, and streaming JsonParser techniques, each illustrated with concise code examples to help developers build robust, flexible JSON handling in backend services.
This article explains the major breaking changes introduced when Spring Boot 4.x upgrades from Jackson 2.x to Jackson 3.x, covering package renames, ObjectMapper builder usage, exception handling, API signature updates, type handling, integration impacts, and step‑by‑step migration strategies.
This article explains how to handle JSON objects with unknown or dynamic fields in Java using Jackson's @JsonAnySetter to collect extra properties into a Map and @JsonAnyGetter to serialize them back as regular fields, complete with practical code examples and common pitfalls.
This article demonstrates how to use Jackson's JsonNode tree model within Spring Boot 3, covering node creation, conversion from JSON strings and Java objects, tree manipulation—including adding, editing, and deleting nodes—and serialization back to JSON, with complete code examples for each operation.
This article demonstrates how to use four lesser‑known Jackson annotations—@JsonAppend, @JsonNaming, @JsonPropertyDescription, and @JsonPOJOBuilder—to extend JSON serialization, customize property naming, enrich JSON Schema documentation, and deserialize immutable objects within Spring Boot 3 applications.
This article walks through the most common Jackson annotations for Spring Boot 3, explaining their purpose, showing concise code samples, and demonstrating the resulting JSON output with screenshots, so developers can confidently handle naming, ignoring, formatting, dynamic properties, and custom serialization in their APIs.
This article provides a comprehensive guide to using Jackson for JSON processing in modern Java applications, covering typical scenarios such as object serialization, date formatting, nested structures, dynamic field filtering, tree model manipulation, a complete utility class, and best‑practice recommendations.
This article explains why masking sensitive data such as ID numbers, phone numbers, and bank cards is essential, then demonstrates five practical Spring Boot 3 solutions—including custom JsonSerializer, Jackson modules, AOP, ResponseBodyAdvice, and JsonFilter—complete with code examples and output screenshots.
This article explains why proper date formatting matters in Spring Boot applications, compares the default Jackson behavior, and presents five concrete approaches—including global configuration, @JsonFormat, custom ObjectMapper, @JsonComponent, and @JsonSerialize—detailing their implementations, advantages, and drawbacks.
This article explains why bidirectional entity relationships cause infinite JSON recursion in Spring Boot, demonstrates the problem with sample code and console output, and presents six practical Jackson solutions—including @JsonManagedReference, @JsonIdentityInfo, @JsonIgnore, @JsonView, and custom serializers—complete with code snippets and result screenshots.
Even solo developers should use Git for safe version control, and when handling JSON in Java, Jackson offers the most reliable way to convert strings to objects, with clear examples, field‑mapping tips, and a brief Gson comparison.
This article explains how to handle unknown or dynamic JSON properties in Java using Jackson's @JsonAnySetter to collect them into a Map and @JsonAnyGetter to serialize them back, complete with practical code examples and best‑practice tips.
This article explains how Jackson's @JsonAnySetter and @JsonAnyGetter annotations let Java classes gracefully handle unknown JSON properties by collecting them into a map during deserialization and emitting them as regular fields during serialization, complete with practical code examples and usage tips.
This article explains how to handle JSON objects with unknown or changing fields in Java by using Jackson's @JsonAnySetter to collect them during deserialization and @JsonAnyGetter to serialize them back, complete with code examples, pitfalls, and a concise analogy.
This tutorial shows how to use Jackson's polymorphic deserialization in Spring Boot 3 to handle variable JSON request bodies by defining a common Order interface, concrete implementations, and a REST controller that routes calculations based on the order type, eliminating redundant endpoints.
This article explores Jackson's ObjectMapper in Spring Boot 3, covering basic serialization/deserialization, converting between objects, JSON strings, JsonNode, and collections, custom serializers/deserializers, handling unknown fields, and performance tuning with the Afterburner module and JMH benchmarks.
This guide shows how to configure Jackson in Spring Boot to consistently format LocalDateTime, Date, and String parameters as "yyyy-MM-dd HH:mm:ss", covering global settings via application properties, field-level @JsonFormat, custom serializers/deserializers, and unified handling in REST controllers.
When a JSON payload contains unpredictable fields, Jackson’s @JsonAnySetter and @JsonAnyGetter let you capture those dynamic properties into a Map during deserialization and seamlessly emit them during serialization, eliminating the need for rigid POJOs.
This article demonstrates how to use Spring Boot 3's @JsonFormat annotation for precise date, time, and enum serialization, covering configuration via properties, annotation attributes, locale settings, shape options, lenient parsing, and case‑insensitive deserialization with practical code examples.
This article explains how the Jackson @JsonView annotation can be used in Spring back‑end projects to selectively serialize object fields, reduce bandwidth, improve security, and handle nested associations by defining view interfaces and applying them on entity fields and controller methods.
This article explains how to use Jackson's @JsonView annotation in Spring Boot 3 to flexibly control JSON output for different REST scenarios, covering basic usage, programmatic view selection, view‑based MVC responses, deserialization restrictions, and default‑inclusion configuration with practical code examples.
This article explains how different Java boolean naming conventions affect JSON serialization across fastjson, Gson, and Jackson, demonstrates the resulting inconsistencies with code examples, and recommends using a plain "success" field with an isSuccess getter to ensure reliable cross‑library behavior.
The article explains the requirements and usage of Jackson’s @JsonAnyGetter and @JsonAnySetter annotations, showing how to serialize dynamic properties into JSON and deserialize them back into a Java object, with complete code examples and step‑by‑step demonstrations.
This article explains why Spring Boot 3 uses Jackson for JSON handling, describes four effective methods—JsonNode, Map, @JsonAnySetter, and custom deserializer—to process dynamic JSON properties, and promotes a continuously updated collection of over 90 Spring Boot case studies with source code.
This article compares six popular Java JSON parsing solutions—Jackson, Gson, FastJSON, JsonPath, org.json, and manual parsing—detailing their features, code examples, advanced options, and pros and cons to help developers choose the right tool for various scenarios.
Java developers can parse JSON using six popular approaches—Jackson for high‑performance, annotation‑driven serialization; Gson for a lightweight, easy‑to‑use API; FastJSON for speed; JsonPath for XPath‑style nested extraction; org.json for simple utility; or manual parsing for full control—each suited to different performance and complexity needs.
This article compares six popular Java JSON parsing approaches—Jackson, Gson, FastJSON, JsonPath, org.json, and manual parsing—detailing their features, code samples, advanced options, and pros and cons to help developers choose the right tool for their projects.
This tutorial demonstrates how to programmatically customize JSON serialization and deserialization in Spring Boot by implementing JsonSerializer, JsonDeserializer, JsonObjectSerializer, and JsonObjectDeserializer, complete with code examples, test endpoints, and important usage notes.
This article walks through the design and implementation of symmetric AES encryption for both GET and POST API endpoints in a Spring Boot application, covering requirement analysis, data model definition, custom RequestBodyAdvice and ResponseBodyAdvice, serialization challenges with FastJSON vs Jackson, and final configuration to ensure consistent JSON output across encrypted and non‑encrypted responses.
This article explains why consistent date formatting is crucial in Spring Boot APIs, outlines common scenarios such as front‑end data exchange, database storage and logging, and presents multiple server‑side and client‑side solutions—including SimpleDateFormat, DateTimeFormatter, global Jackson settings, annotations, custom converters, and timestamp output—complete with code examples.
This article demonstrates how to handle Java Long precision loss in Spring Boot 3 front‑end displays, configures Jackson to serialize Long as String, uses @JsonValue for single‑property serialization, and creates custom annotations with a SensitiveSerializer for data masking, complete with code examples and screenshots.
This article explains various Spring Boot approaches for formatting dates in API responses, covering frontend JavaScript utilities, Java SimpleDateFormat and DateTimeFormatter, global Jackson settings, annotation‑based formatting, custom converters, ControllerAdvice initBinder, and timestamp output methods.
This article walks through the design and implementation of symmetric request/response encryption for a Spring Boot API, covering requirement analysis, data models, custom ControllerAdvice for decryption and encryption, serialization challenges with FastJson and Jackson, and final configuration to keep encrypted payloads consistent across Android, iOS, and H5 clients.
This article provides a comprehensive guide to Jackson’s most frequently used annotations, core modules, and extension points in Spring Boot, illustrating each feature with concrete Java code examples that show how to customize serialization, deserialization, property handling, and polymorphic type processing.
This article explains how to implement unified data desensitization in Java Spring Boot applications by creating custom annotations, enums, serializers, and utility methods that automatically mask personal information during JSON serialization, complete with code examples and test results.
This tutorial explores Jackson's rich annotation set in Spring Boot 3.2.5, demonstrating how to serialize and deserialize JSON with built‑in annotations like @JsonAnyGetter, @JsonGetter, @JsonPropertyOrder, and @JsonIgnore, how to create custom annotations, and how to disable annotation processing for fine‑grained control.
In Spring Boot you can customize JSON request and response handling by annotating fields with @JsonSerialize/@JsonDeserialize, registering a global ObjectMapper module, adding a PropertyEditor via @ControllerAdvice, creating a custom HttpMessageConverter, or using AOP interception, selecting the approach that matches your project’s complexity.
The article demonstrates how to mask sensitive Java backend data by using Hutool's DesensitizedUtil for common types and a custom @Desensitization annotation with a DesensitizationTypeEnum‑driven Jackson serializer (or Fastjson ValueFilter) to apply flexible masking rules during JSON serialization.
The article walks through a puzzling JSON deserialization failure in a Java filter using FastJSON, compares it with Gson and Jackson, discovers that hidden escape characters cause the error, and shows how unescaping the string resolves the issue.
The investigation revealed that G1GC pauses were caused by uncontrolled growth of the JVM StringTable, triggered by Jackson’s InternCache interning countless random JSON field names, and was mitigated by enlarging the young generation, disabling field‑name interning, tuning G1 parameters, and monitoring StringTable size.
This article demonstrates how to secure Spring Boot APIs by encrypting request and response bodies using custom ControllerAdvice, switching from FastJson to Jackson for proper enum and date serialization, and configuring ObjectMapper to produce consistent JSON output across encrypted and non‑encrypted endpoints.
This article walks through a Spring Boot solution for dynamically masking sensitive user data—such as names, ID numbers, phone numbers, and custom fields—by defining custom annotations, a configurable rule engine, a Redis‑backed context holder, and a Jackson serializer that applies masking at JSON serialization time, all while keeping performance overhead low.
This article explains how the @JsonView annotation in Spring Boot lets developers define multiple JSON views to selectively expose fields based on client needs, user roles, API versions, or data aggregation requirements, providing code examples and practical usage tips.
This article explains how different Java JSON libraries handle boolean getter naming, shows code examples of serialization results with fastjson, Gson, and Jackson, and recommends using a plain "success" field with an isSuccess() getter to avoid runtime bugs.
This article walks through a real‑world scenario of adding symmetric encryption to Spring MVC endpoints for Android, iOS and H5 clients, detailing the requirements, code implementation of request and response interceptors, serialization pitfalls with enums and LocalDateTime, and the final solution using Jackson's ObjectMapper to keep encrypted and non‑encrypted responses consistent.
This tutorial explains when to choose XML over JSON, compares their characteristics, and provides step‑by‑step Spring Boot 3.1.7 examples—including Jackson XML configuration, custom root elements, XML view rendering, and JAXB marshalling—to produce XML responses from REST endpoints.
Using Jackson's ObjectMapper for JSON parsing, this article benchmarks three approaches—creating a new mapper per call, sharing a global singleton, and using ThreadLocal—revealing that a single shared ObjectMapper can achieve up to ten times higher throughput, while ThreadLocal offers only modest gains.
This article explains the JSON Pointer syntax, provides encoding rules and practical examples, demonstrates how to extract values from complex JSON structures using Jackson's JsonUtil in Java, and shows how to map nodes to Java beans, offering a concise guide for developers.
The article explains why user privacy data must be masked, then walks through a Spring Boot solution that uses custom annotations, an aspect‑oriented filter, a contextual serializer and a flexible rule engine stored in Redis to achieve dynamic, high‑performance data desensitization without polluting business logic.
This article explains practical methods to protect sensitive API data in Spring Boot applications, covering encryption, masking, access control, logging, HTTPS, and database security, and demonstrates three implementation approaches: SQL‑level masking, field‑level encryption, and custom Jackson serialization using annotations and a contextual serializer.
This article explains how repeatedly creating Jackson ObjectMapper instances hurts performance, demonstrates a JMH benchmark comparing new, singleton, and ThreadLocal ObjectMapper usages, and concludes that a single globally shared ObjectMapper can achieve up to ten times faster JSON parsing.
The article examines how Spring Boot handles circular reference serialization with Jackson and Fastjson, demonstrates the role of @ControllerAdvice for global exception capture, explains why Jackson may emit both 200 and 500 responses, and provides practical solutions using annotations and configuration.
This article explains data desensitization concepts, common masking rules, and demonstrates how to use the Hutool library and Jackson annotations in Java to mask sensitive fields such as IDs, phone numbers, and passwords, while also comparing alternative tools.
This guide explains how to customize the serialization and deserialization of Date objects in SpringBoot by adjusting application.yml/properties, using @JsonFormat, @DateTimeFormat, and @Temporal annotations, and by creating global converters for both form submissions and JSON payloads, ensuring consistent timezone handling.
Spring Boot 3.1.0 introduces a host of enhancements—including automatic configuration for Spring Authorization Server, upgraded HttpClient support, refined Testcontainers integration, new Docker‑Compose capabilities, and updates to Hibernate, Jackson, Mockito, and SSL handling—while also providing detailed Maven and Gradle options for image building.
This article benchmarks the serialization and deserialization performance of four popular Java JSON libraries—Gson, Fastjson, Jackson, and Json‑lib—using JMH, analyzes the results across different operation counts, and provides guidance on selecting the most suitable library for high‑performance applications.
This article explains how to protect user privacy in a Java backend by creating a custom @PrivacyEncrypt annotation and a Jackson serializer that automatically mask sensitive fields such as phone numbers, emails, and ID cards during JSON serialization.
This article explains how to protect user privacy by applying data desensitization in a Java backend, using a custom annotation and Jackson serializer to mask sensitive fields such as phone numbers, emails, IDs, and names during JSON serialization.
This article walks through a complete Spring Boot solution for encrypting and decrypting API requests and responses, covering requirement analysis, data models, custom ControllerAdvice implementations, serialization challenges, and practical code examples using AES and Jackson.
Learn three practical methods to protect sensitive API response data in SpringBoot 2.4.12—complete with SQL examples, custom Jackson annotations, and a reusable serializer to automatically mask fields like ID numbers during JSON output.
This article walks through implementing symmetric encryption for both request and response bodies in a Spring MVC project, covering requirement analysis, data model design, custom ControllerAdvice for decryption and encryption, serialization challenges with FastJson and Jackson, and final configuration to ensure consistent API output across Android, iOS, and H5 clients.
This article documents a step‑by‑step solution for preventing XSS attacks in a Spring Boot application, covering input validation, a custom HttpServletRequestWrapper, filter registration, and Jackson serializers/deserializers to escape malicious HTML both on request parameters and JSON payloads.
This article explains how to secure Spring Boot APIs by encrypting request and response bodies with symmetric AES, handling signatures, and configuring Jackson serialization to preserve enum and date formats, providing complete code examples and debugging insights.
