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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 article benchmarks the cost of instantiating a new ObjectMapper for each JSON conversion in a SpringBoot project, demonstrates a singleton implementation that boosts read performance by 18× and write performance by up to 300×, and shows how to add custom serializers without sacrificing speed.
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.
This article examines the performance impact of instantiating a new Jackson ObjectMapper for each JSON parsing operation versus reusing a global instance, using JMH micro‑benchmarks to show that a shared ObjectMapper can be up to ten times faster.
This article benchmarks three ObjectMapper usage patterns—creating a new instance per call, sharing a global singleton, and using ThreadLocal—demonstrating that a single shared ObjectMapper can achieve up to ten‑fold higher throughput in JSON parsing.