Start by clarifying the requirements and constraints, then outline a layered architecture: HTTP client (OkHttp) for fetching, JSON parsing (Jsoniter) for deserialization, and typed model classes for structured access. Emphasize error handling, performance, and testability, and discuss how you would validate the pipeline end-to-end.
Pro tip: Demonstrate awareness of real-world concerns like rate limiting, retries, and schema evolution; mention that you'd use OkHttp's interceptors for logging and Jsoniter's codec configuration for custom types to show depth.
Ask about data volume, schema stability, error tolerance, and performance expectations to tailor the design. Confirm whether the pipeline is batch or streaming, and if caching or incremental updates are needed.
Define Java classes (POJOs) that mirror the JSON schema, using appropriate types and annotations for Jsoniter. Consider immutability, validation, and relationships between entities.
Use OkHttpClient to execute requests, handle responses, and manage errors (timeouts, retries, status codes). Leverage interceptors for logging, auth, or metrics.
Configure Jsoniter for efficient deserialization, including custom codecs if needed. Parse into model objects and handle malformed data gracefully.
Provide APIs (e.g., repository or service classes) to query parsed entities. Write unit and integration tests to validate the pipeline, and discuss monitoring and error reporting.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.