Tackling High Memory Consumption When Parsing Large JSON Files with Pydantic
2025-05-22
High memory consumption is a common problem when using Pydantic to process large JSON files. This article analyzes the reasons for high memory usage with Pydantic's default JSON loading and proposes two solutions: using the ijson library for incremental JSON parsing to reduce memory usage during parsing, and converting Pydantic models to dataclasses with `slots` to reduce object memory consumption. Experimental results show that combining these two methods can reduce memory usage to one-fourth of the original, effectively solving the memory bottleneck of processing large JSON files.