
Yiheng Xu developed streaming support for iterable results in the palantir/python-compute-module, enabling functions that return iterables to stream results by setting streaming to true. Xu modified the @function decorator, InternalQueryService, and function_registry to handle streaming logic, ensuring seamless integration with existing APIs. The implementation, written in Python and YAML, included comprehensive updates to documentation and tests to support the new feature. This work addressed memory and latency challenges for large datasets, making data pipelines more scalable and interactive. Xu’s contribution demonstrated depth in API design, software engineering, and testing, delivering a robust solution within a focused development period.

Delivered streaming support for iterable results in the Python Compute Module, enabling functions returning iterables to stream results by enabling streaming=True. Implemented changes across the @function decorator, InternalQueryService, and function_registry; updated docs and tests. Commit 0d6637a8534ce00f7c07ad33c234ab85a04cf57b ('Add streaming support for iterable result (#15)'). This feature reduces memory usage and latency for large datasets, enabling more scalable data pipelines and interactive workloads.
Delivered streaming support for iterable results in the Python Compute Module, enabling functions returning iterables to stream results by enabling streaming=True. Implemented changes across the @function decorator, InternalQueryService, and function_registry; updated docs and tests. Commit 0d6637a8534ce00f7c07ad33c234ab85a04cf57b ('Add streaming support for iterable result (#15)'). This feature reduces memory usage and latency for large datasets, enabling more scalable data pipelines and interactive workloads.
Overview of all repositories you've contributed to across your timeline