From f351490392833a7e3c0c0b2183000e67ed2507c1 Mon Sep 17 00:00:00 2001 From: kohlisid Date: Wed, 8 Apr 2026 19:51:09 -0700 Subject: [PATCH 1/3] chore: refine README Signed-off-by: kohlisid --- packages/pynumaflow/README.md | 113 ++++++++++++---------------------- 1 file changed, 39 insertions(+), 74 deletions(-) diff --git a/packages/pynumaflow/README.md b/packages/pynumaflow/README.md index acfea2a9..e5a48594 100644 --- a/packages/pynumaflow/README.md +++ b/packages/pynumaflow/README.md @@ -41,13 +41,16 @@ pre-commit install ``` ## Implementing different functionalities + - [Implement User Defined Sources](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/source) -- [Implement User Defined Source Transformers](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/sourcetransform) - Implement User Defined Functions - [Map](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/map) - [Reduce](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/reduce) + - [Reduce Stream](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/reducestream) - [Map Stream](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/mapstream) - [Batch Map](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/batchmap) + - [Accumulator](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/accumulator) + - [Source Transform](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/sourcetransform) - [Implement User Defined Sinks](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/sink) - [Implement User Defined SideInputs](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/sideinput) @@ -59,105 +62,67 @@ These have different functionalities and are used for different use cases. Currently we support the following server types: - Sync Server -- Asyncronous Server -- MultiProcessing Server +- Asynchronous Server +- MultiProcess Server Not all of the above are supported for all UDFs, UDSource and UDSinks. -For each of the UDFs, UDSource and UDSinks, there are seperate classes for each of the server types. +For each of the UDFs, UDSource and UDSinks, there are separate classes for each of the server types. This helps in keeping the interface simple and easy to use, and the user can start the specific server type based on the use case. +### Sync Server -#### SyncServer - -Syncronous Server is the simplest server type. It is a multithreaded threaded server which can be used for simple UDFs and UDSinks. +Synchronous Server is the simplest server type. It is a multithreaded server which can be used for simple UDFs and UDSinks. Here the server will invoke the handler function for each message. The messaging is synchronous and the server will wait for the handler to return before processing the next message. -``` +```py grpc_server = MapServer(handler) ``` -#### AsyncServer +### Async Server -Asyncronous Server is a multi threaded server which can be used for UDFs which are asyncronous. Here we utilize the asyncronous capabilities of Python to process multiple messages in parallel. The server will invoke the handler function for each message. The messaging is asyncronous and the server will not wait for the handler to return before processing the next message. Thus this server type is useful for UDFs which are asyncronous. +Asynchronous Server is a server which can be used for UDFs that are asynchronous. Here we utilize the asynchronous capabilities of Python to process multiple messages in parallel. The server will invoke the handler function for each message and will not wait for the handler to return before processing the next message. The handler function for such a server should be an async function. ```py grpc_server = MapAsyncServer(handler) ``` -#### MultiProcessServer +### MultiProcess Server -MultiProcess Server is a multi process server which can be used for UDFs which are CPU intensive. Here we utilize the multi process capabilities of Python to process multiple messages in parallel by forking multiple servers in different processes. -The server will invoke the handler function for each message. Individually at the server level the messaging is synchronous and the server will wait for the handler to return before processing the next message. But since we have multiple servers running in parallel, the overall messaging also executes in parallel. +MultiProcess Server is a multi-process server which can be used for UDFs that are CPU intensive. Here we utilize the multi-processing capabilities of Python to process multiple messages in parallel by forking multiple servers in different processes. +The server will invoke the handler function for each message. Individually at the server level the messaging is synchronous, but since multiple servers run in parallel, the overall throughput also scales in parallel. -This could be an alternative to creating multiple replicas of the same UDF container as here we are using the multi processing capabilities of the system to process multiple messages in parallel but within the same container. +This is an alternative to creating multiple replicas of the same UDF container, as it uses multi-processing within the same container. -Thus this server type is useful for UDFs which are CPU intensive. -``` -grpc_server = MapMultiProcServer(mapper_instance=handler, server_count=2) +```py +grpc_server = MapMultiprocServer(mapper_instance=handler, server_count=2) ``` -#### Currently Supported Server Types for each functionality - -These are the class names for the server types supported by each of the functionalities. - -- UDFs - - Map - - MapServer - - MapAsyncServer - - MapMultiProcServer - - Reduce - - ReduceAsyncServer - - MapStream - - MapStreamAsyncServer - - BatchMap - - BatchMapAsyncServer - - Source Transform - - SourceTransformServer - - SourceTransformMultiProcServer -- UDSource - - SourceServer - - SourceAsyncServer -- UDSink - - SinkServer - - SinkAsyncServer -- SideInput - - SideInputServer +### Supported Server Types and Handler Classes +The table below lists the server classes and handler base class for each functionality. +| Functionality | Server Class(es) | Handler Base Class | +|---|---|---| +| [**UDSource**](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/source) | [SourceAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/source/simple_source/example.py) | Sourcer | +| [**UDSink**](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/sink) | [SinkServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/sink/log/example.py), [SinkAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/sink/async_log/example.py) | Sinker | +| [**SideInput**](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/sideinput) | [SideInputServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/sideinput/simple_sideinput/example.py) | SideInput | +| [**Map**](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/map) | [MapServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/map/even_odd/example.py), MapAsyncServer, [MapMultiprocServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/map/multiproc_map/example.py) | Mapper | +| [**Reduce**](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/reduce) | [ReduceAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/reduce/counter/example.py) | Reducer | +| [**Reduce Stream**](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/reducestream) | [ReduceStreamAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/reducestream/counter/example.py) | ReduceStreamer | +| [**Map Stream**](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/mapstream) | [MapStreamAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/mapstream/flatmap_stream/example.py) | MapStreamer | +| [**Batch Map**](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/batchmap) | [BatchMapAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/batchmap/flatmap/example.py) | BatchMapper | +| [**Accumulator**](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/accumulator) | [AccumulatorAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/accumulator/streamsorter/example.py) | Accumulator | +| [**Source Transform**](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/sourcetransform) | [SourceTransformServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/sourcetransform/event_time_filter/example.py), [SourceTransformAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/sourcetransform/async_event_time_filter/example.py), SourceTransformMultiProcServer | SourceTransformer | +### Handler Functions and Classes -### Handler Function and Classes - -All the server types take a instance of a handler class or a handler function as an argument. -The handler function or class is the function or class which implements the functionality of the UDF, UDSource or UDSink. +All server types take an instance of a handler class or a handler function as an argument. +The handler function or class implements the functionality of the UDF, UDSource or UDSink. For ease of use the user can pass either of the two to the server and the server will handle the rest. -The handler for each of the servers has a specific signature which is defined by the server type and the implentation of the handlers -should follow the same signature. - -For using the class based handlers the user can inherit from the base handler class for each of the functionalities and implement the handler function. -The base handler class for each of the functionalities has the same signature as the handler function for the respective server type. -The list of base handler classes for each of the functionalities is given below: - -- UDFs - - Map - - Mapper - - Reduce - - Reducer - - MapStream - - MapStreamer - - Source Transform - - SourceTransformer - - Batch Map - - BatchMapper -- UDSource - - Sourcer -- UDSink - - Sinker -- SideInput - - SideInput - -More details about the signature of the handler function for each of the server types is given in the -documentation of the respective server type. +The handler for each server has a specific signature defined by the server type, and the implementation of the handlers should follow the same signature. + +For class-based handlers, inherit from the base handler class for the respective functionality and implement the handler method. +More details about the handler signature for each server type is given in the documentation of the respective server type. From 882d4ab8de03610c23424e869da614023f9148bc Mon Sep 17 00:00:00 2001 From: kohlisid Date: Wed, 8 Apr 2026 20:15:49 -0700 Subject: [PATCH 2/3] docs: refine pynumaflow README Signed-off-by: kohlisid --- packages/pynumaflow/README.md | 122 ++--- .../map/async_forward_message/Dockerfile | 38 ++ .../map/async_forward_message/Makefile | 22 + .../map/async_forward_message/example.py | 38 ++ .../map/async_forward_message/pyproject.toml | 18 + .../map/async_forward_message/uv.lock | 516 ++++++++++++++++++ 6 files changed, 679 insertions(+), 75 deletions(-) create mode 100644 packages/pynumaflow/examples/map/async_forward_message/Dockerfile create mode 100644 packages/pynumaflow/examples/map/async_forward_message/Makefile create mode 100644 packages/pynumaflow/examples/map/async_forward_message/example.py create mode 100644 packages/pynumaflow/examples/map/async_forward_message/pyproject.toml create mode 100644 packages/pynumaflow/examples/map/async_forward_message/uv.lock diff --git a/packages/pynumaflow/README.md b/packages/pynumaflow/README.md index e5a48594..2e37ce0e 100644 --- a/packages/pynumaflow/README.md +++ b/packages/pynumaflow/README.md @@ -5,18 +5,16 @@ [![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](LICENSE) [![Release Version](https://img.shields.io/github/v/release/numaproj/numaflow-python?label=pynumaflow)](https://github.com/numaproj/numaflow-python/releases/latest) -This is the Python SDK for [Numaflow](https://numaflow.numaproj.io/). - -This SDK provides the interface for writing different functionalities of Numaflow like [UDFs](https://numaflow.numaproj.io/user-guide/user-defined-functions/user-defined-functions/), [UDSinks](https://numaflow.numaproj.io/user-guide/sinks/user-defined-sinks/), [UDSources](https://numaflow.numaproj.io/user-guide/sources/user-defined-sources/) and [SideInput](https://numaflow.numaproj.io/specifications/side-inputs/) in Python. +`pynumaflow` is the Python SDK for [Numaflow](https://numaflow.numaproj.io/), a Kubernetes-native stream processing framework. Write a Python function, wire it to a server class, and Numaflow handles the gRPC transport, autoscaling, and deployment — no boilerplate required. The SDK supports three execution models (synchronous, asynchronous, and multi-process) and both function-based and class-based handler styles. ## Installation -Install the package using pip. ```bash pip install pynumaflow ``` -### Build locally +
+Build & develop locally This project uses [uv](https://docs.astral.sh/uv/) for dependency management and packaging. To build the package locally, run the following command from the root of the project. @@ -40,89 +38,63 @@ Setup [pre-commit](https://pre-commit.com/) hooks: pre-commit install ``` -## Implementing different functionalities - -- [Implement User Defined Sources](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/source) -- Implement User Defined Functions - - [Map](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/map) - - [Reduce](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/reduce) - - [Reduce Stream](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/reducestream) - - [Map Stream](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/mapstream) - - [Batch Map](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/batchmap) - - [Accumulator](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/accumulator) - - [Source Transform](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/sourcetransform) -- [Implement User Defined Sinks](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/sink) -- [Implement User Defined SideInputs](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/sideinput) - -## Server Types - -There are different types of gRPC server mechanisms which can be used to serve the UDFs, UDSinks and UDSource. -These have different functionalities and are used for different use cases. - -Currently we support the following server types: +
-- Sync Server -- Asynchronous Server -- MultiProcess Server +## Capabilities -Not all of the above are supported for all UDFs, UDSource and UDSinks. +The SDK covers the full range of Numaflow extension points. Each capability maps to a dedicated set of server classes and handler interfaces. -For each of the UDFs, UDSource and UDSinks, there are separate classes for each of the server types. -This helps in keeping the interface simple and easy to use, and the user can start the specific server type based on the use case. +> [!TIP] +> Each capability below links to working examples in both function-based and class-based handler styles. See the full [examples directory](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples) for all implementations. -### Sync Server +| | Description | Examples | +|---|---|---| +| [**User-Defined Functions (UDFs)**](https://numaflow.numaproj.io/user-guide/user-defined-functions/user-defined-functions/) | Process and transform stream data — Map, Reduce, Reduce Stream, Map Stream, Batch Map, Accumulator | [Map](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/map) · [Reduce](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/reduce) · [Reduce Stream](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/reducestream) · [Map Stream](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/mapstream) · [Batch Map](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/batchmap) · [Accumulator](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/accumulator) | +| [**User-Defined Sources (UDSource)**](https://numaflow.numaproj.io/user-guide/sources/user-defined-sources/) | Ingest data from custom sources with read, ack, pending, and partition handlers | [Source](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/source) · [Source Transform](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/sourcetransform) | +| [**User-Defined Sinks (UDSink)**](https://numaflow.numaproj.io/user-guide/sinks/user-defined-sinks/) | Deliver data to custom destinations with per-message acknowledgment | [Sink](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/sink) | +| [**Side Inputs**](https://numaflow.numaproj.io/specifications/side-inputs/) | Broadcast slow-changing reference data to UDF vertices without passing it through the pipeline | [Side Input](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/sideinput) | -Synchronous Server is the simplest server type. It is a multithreaded server which can be used for simple UDFs and UDSinks. -Here the server will invoke the handler function for each message. The messaging is synchronous and the server will wait for the handler to return before processing the next message. +## Choosing Your Server Type -```py -grpc_server = MapServer(handler) -``` +Each functionality is served by a dedicated server class. Choose the server type that matches your workload characteristics: -### Async Server +| | **Sync** | **Async** | **MultiProcess** | +|---|---|---|---| +| **Concurrency Model** | Multithreaded | asyncio event loop | N forked server processes | +| **Handler Signature** | `def handler(...)` | `async def handler(...)` | `def handler(...)` | +| **GIL Behaviour** | Subject to GIL | Subject to GIL | Bypasses Python GIL | +| **Extra Config** | — | — | `server_count=N` required | +| **Typical Workloads** | Stateless transforms | I/O-bound operations | CPU-intensive operations | -Asynchronous Server is a server which can be used for UDFs that are asynchronous. Here we utilize the asynchronous capabilities of Python to process multiple messages in parallel. The server will invoke the handler function for each message and will not wait for the handler to return before processing the next message. -The handler function for such a server should be an async function. +> [!TIP] +> Both Sync and MultiProcess handlers use a plain `def` — only Async requires `async def`. -```py -grpc_server = MapAsyncServer(handler) -``` +> [!IMPORTANT] +> MultiProcess forks N independent gRPC servers within the same container. The `server_count` parameter is required: `MapMultiprocServer(handler, server_count=2)`. -### MultiProcess Server +## Server Class Reference -MultiProcess Server is a multi-process server which can be used for UDFs that are CPU intensive. Here we utilize the multi-processing capabilities of Python to process multiple messages in parallel by forking multiple servers in different processes. -The server will invoke the handler function for each message. Individually at the server level the messaging is synchronous, but since multiple servers run in parallel, the overall throughput also scales in parallel. +| Functionality | Server Class(es) | +|---|---| +| [**UDSource**](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/source) | [SourceAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/source/simple_source/example.py) | +| [**UDSink**](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/sink) | [SinkServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/sink/log/example.py), [SinkAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/sink/async_log/example.py) | +| [**Side Input**](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/sideinput) | [SideInputServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/sideinput/simple_sideinput/example.py) | +| [**Map**](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/map) | [MapServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/map/even_odd/example.py), [MapAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/map/async_forward_message/example.py), [MapMultiprocServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/map/multiproc_map/example.py) | +| [**Reduce**](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/reduce) | [ReduceAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/reduce/counter/example.py) | +| [**Reduce Stream**](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/reducestream) | [ReduceStreamAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/reducestream/counter/example.py) | +| [**Map Stream**](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/mapstream) | [MapStreamAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/mapstream/flatmap_stream/example.py) | +| [**Batch Map**](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/batchmap) | [BatchMapAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/batchmap/flatmap/example.py) | +| [**Accumulator**](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/accumulator) | [AccumulatorAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/accumulator/streamsorter/example.py) | +| [**Source Transform**](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/sourcetransform) | [SourceTransformServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/sourcetransform/event_time_filter/example.py), [SourceTransformAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/sourcetransform/async_event_time_filter/example.py), SourceTransformMultiProcServer | -This is an alternative to creating multiple replicas of the same UDF container, as it uses multi-processing within the same container. +All server types accept handlers in two styles: -```py -grpc_server = MapMultiprocServer(mapper_instance=handler, server_count=2) -``` +- **Function-based** — pass a plain `def` or `async def` directly to the server. Best for simple, stateless logic. +- **Class-based** — inherit from the corresponding base class (e.g., `Mapper`, `Reducer`, `Sinker`) and implement the `handler` method. Useful when your handler needs initialization arguments, internal state, or helper methods. -### Supported Server Types and Handler Classes +The linked examples above demonstrate both styles for each functionality. -The table below lists the server classes and handler base class for each functionality. +## Contributing -| Functionality | Server Class(es) | Handler Base Class | -|---|---|---| -| [**UDSource**](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/source) | [SourceAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/source/simple_source/example.py) | Sourcer | -| [**UDSink**](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/sink) | [SinkServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/sink/log/example.py), [SinkAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/sink/async_log/example.py) | Sinker | -| [**SideInput**](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/sideinput) | [SideInputServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/sideinput/simple_sideinput/example.py) | SideInput | -| [**Map**](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/map) | [MapServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/map/even_odd/example.py), MapAsyncServer, [MapMultiprocServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/map/multiproc_map/example.py) | Mapper | -| [**Reduce**](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/reduce) | [ReduceAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/reduce/counter/example.py) | Reducer | -| [**Reduce Stream**](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/reducestream) | [ReduceStreamAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/reducestream/counter/example.py) | ReduceStreamer | -| [**Map Stream**](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/mapstream) | [MapStreamAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/mapstream/flatmap_stream/example.py) | MapStreamer | -| [**Batch Map**](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/batchmap) | [BatchMapAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/batchmap/flatmap/example.py) | BatchMapper | -| [**Accumulator**](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/accumulator) | [AccumulatorAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/accumulator/streamsorter/example.py) | Accumulator | -| [**Source Transform**](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/sourcetransform) | [SourceTransformServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/sourcetransform/event_time_filter/example.py), [SourceTransformAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/sourcetransform/async_event_time_filter/example.py), SourceTransformMultiProcServer | SourceTransformer | - -### Handler Functions and Classes - -All server types take an instance of a handler class or a handler function as an argument. -The handler function or class implements the functionality of the UDF, UDSource or UDSink. -For ease of use the user can pass either of the two to the server and the server will handle the rest. - -The handler for each server has a specific signature defined by the server type, and the implementation of the handlers should follow the same signature. - -For class-based handlers, inherit from the base handler class for the respective functionality and implement the handler method. -More details about the handler signature for each server type is given in the documentation of the respective server type. +For SDK development workflow, testing against a live pipeline, and adding new examples, see the [Developer Guide](../../development.md). +For general contribution guidelines, see the [Numaproj Contributing Guide](https://github.com/numaproj/numaproj/blob/main/CONTRIBUTING.md). diff --git a/packages/pynumaflow/examples/map/async_forward_message/Dockerfile b/packages/pynumaflow/examples/map/async_forward_message/Dockerfile new file mode 100644 index 00000000..42f91b1b --- /dev/null +++ b/packages/pynumaflow/examples/map/async_forward_message/Dockerfile @@ -0,0 +1,38 @@ +#################################################################################################### +# Stage 1: Builder - installs all dependencies using uv +#################################################################################################### +FROM ghcr.io/astral-sh/uv:python3.13-trixie AS builder + +ENV PYSETUP_PATH="/opt/pysetup" +WORKDIR $PYSETUP_PATH + +COPY pyproject.toml uv.lock README.md ./ +COPY pynumaflow/ ./pynumaflow/ + +ENV EXAMPLE_PATH="$PYSETUP_PATH/examples/map/async_forward_message" +COPY examples/map/async_forward_message/ $EXAMPLE_PATH/ + +WORKDIR $EXAMPLE_PATH +RUN uv sync --no-dev --no-install-project --frozen + +#################################################################################################### +# Stage 2: Runtime - clean image with only installed packages +#################################################################################################### +FROM ghcr.io/astral-sh/uv:python3.13-trixie AS udf + +ENV PYSETUP_PATH="/opt/pysetup" +ENV EXAMPLE_PATH="$PYSETUP_PATH/examples/map/async_forward_message" + +WORKDIR $EXAMPLE_PATH +COPY --from=builder $EXAMPLE_PATH/.venv $EXAMPLE_PATH/.venv +COPY --from=builder $EXAMPLE_PATH/ $EXAMPLE_PATH/ + +# NOTE: We cannot use "uv run python example.py" here because uv run reads the +# example's pyproject.toml, finds the pynumaflow path source (path = "../../../"), +# and tries to resolve it. In the runtime stage, the parent pynumaflow source tree +# is not present (by design, to keep the image small), so uv run fails. +# Instead, we activate the pre-built .venv via PATH and run python directly. +ENV PATH="$EXAMPLE_PATH/.venv/bin:$PATH" +CMD ["python", "example.py"] + +EXPOSE 5000 diff --git a/packages/pynumaflow/examples/map/async_forward_message/Makefile b/packages/pynumaflow/examples/map/async_forward_message/Makefile new file mode 100644 index 00000000..271a47c9 --- /dev/null +++ b/packages/pynumaflow/examples/map/async_forward_message/Makefile @@ -0,0 +1,22 @@ +TAG ?= stable +PUSH ?= false +IMAGE_REGISTRY = quay.io/numaio/numaflow-python/map-async-forward-message:${TAG} +DOCKER_FILE_PATH = examples/map/async_forward_message/Dockerfile + +.PHONY: update +update: + uv lock --check || uv lock + +.PHONY: image-push +image-push: update + cd ../../../ && docker buildx build \ + -f ${DOCKER_FILE_PATH} \ + -t ${IMAGE_REGISTRY} \ + --platform linux/amd64,linux/arm64 . --push + +.PHONY: image +image: update + cd ../../../ && docker build \ + -f ${DOCKER_FILE_PATH} \ + -t ${IMAGE_REGISTRY} . + @if [ "$(PUSH)" = "true" ]; then docker push ${IMAGE_REGISTRY}; fi diff --git a/packages/pynumaflow/examples/map/async_forward_message/example.py b/packages/pynumaflow/examples/map/async_forward_message/example.py new file mode 100644 index 00000000..595e3881 --- /dev/null +++ b/packages/pynumaflow/examples/map/async_forward_message/example.py @@ -0,0 +1,38 @@ +import os + +from pynumaflow.mapper import Messages, Message, Datum, MapAsyncServer, Mapper + + +class AsyncMessageForwarder(Mapper): + """ + This is a class that inherits from the Mapper class. + It implements the handler method as an async function. + """ + + async def handler(self, keys: list[str], datum: Datum) -> Messages: + val = datum.value + _ = datum.event_time + _ = datum.watermark + return Messages(Message(value=val, keys=keys)) + + +async def my_handler(keys: list[str], datum: Datum) -> Messages: + val = datum.value + _ = datum.event_time + _ = datum.watermark + return Messages(Message(value=val, keys=keys)) + + +if __name__ == "__main__": + """ + Use the class based approach or function based handler + based on the env variable. + Both can be used and passed directly to the server class. + """ + invoke = os.getenv("INVOKE", "func_handler") + if invoke == "class": + handler = AsyncMessageForwarder() + else: + handler = my_handler + grpc_server = MapAsyncServer(handler) + grpc_server.start() diff --git a/packages/pynumaflow/examples/map/async_forward_message/pyproject.toml b/packages/pynumaflow/examples/map/async_forward_message/pyproject.toml new file mode 100644 index 00000000..8738f7f1 --- /dev/null +++ b/packages/pynumaflow/examples/map/async_forward_message/pyproject.toml @@ -0,0 +1,18 @@ +[project] +name = "map-async-forward-message" +version = "0.1.0" +description = "" +requires-python = ">=3.13" +dependencies = [ + "pynumaflow", +] + +[tool.uv.sources] +pynumaflow = { path = 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98fca4fe35cf480944eeaf0991a867f87448c1c8 Mon Sep 17 00:00:00 2001 From: kohlisid Date: Wed, 8 Apr 2026 21:07:05 -0700 Subject: [PATCH 3/3] docs: update README links and remove multiproc server references Signed-off-by: kohlisid --- packages/pynumaflow/README.md | 51 +++++++++++++++-------------------- 1 file changed, 22 insertions(+), 29 deletions(-) diff --git a/packages/pynumaflow/README.md b/packages/pynumaflow/README.md index 2e37ce0e..1dfc16b3 100644 --- a/packages/pynumaflow/README.md +++ b/packages/pynumaflow/README.md @@ -5,7 +5,7 @@ [![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](LICENSE) [![Release Version](https://img.shields.io/github/v/release/numaproj/numaflow-python?label=pynumaflow)](https://github.com/numaproj/numaflow-python/releases/latest) -`pynumaflow` is the Python SDK for [Numaflow](https://numaflow.numaproj.io/), a Kubernetes-native stream processing framework. Write a Python function, wire it to a server class, and Numaflow handles the gRPC transport, autoscaling, and deployment — no boilerplate required. The SDK supports three execution models (synchronous, asynchronous, and multi-process) and both function-based and class-based handler styles. +`pynumaflow` is the Python SDK for [Numaflow](https://numaflow.numaproj.io/), a Kubernetes-native stream processing framework. Write a Python function, wire it to a server class, and Numaflow handles the gRPC transport, autoscaling, and deployment — no boilerplate required. The SDK supports synchronous and asynchronous execution models, and both function-based and class-based handler styles. ## Installation @@ -47,45 +47,38 @@ The SDK covers the full range of Numaflow extension points. Each capability maps > [!TIP] > Each capability below links to working examples in both function-based and class-based handler styles. See the full [examples directory](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples) for all implementations. -| | Description | Examples | +| | Description | API Reference | |---|---|---| -| [**User-Defined Functions (UDFs)**](https://numaflow.numaproj.io/user-guide/user-defined-functions/user-defined-functions/) | Process and transform stream data — Map, Reduce, Reduce Stream, Map Stream, Batch Map, Accumulator | [Map](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/map) · [Reduce](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/reduce) · [Reduce Stream](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/reducestream) · [Map Stream](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/mapstream) · [Batch Map](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/batchmap) · [Accumulator](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/accumulator) | -| [**User-Defined Sources (UDSource)**](https://numaflow.numaproj.io/user-guide/sources/user-defined-sources/) | Ingest data from custom sources with read, ack, pending, and partition handlers | [Source](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/source) · [Source Transform](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/sourcetransform) | -| [**User-Defined Sinks (UDSink)**](https://numaflow.numaproj.io/user-guide/sinks/user-defined-sinks/) | Deliver data to custom destinations with per-message acknowledgment | [Sink](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/sink) | -| [**Side Inputs**](https://numaflow.numaproj.io/specifications/side-inputs/) | Broadcast slow-changing reference data to UDF vertices without passing it through the pipeline | [Side Input](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/sideinput) | +| [**User-Defined Functions (UDFs)**](https://numaflow.numaproj.io/user-guide/user-defined-functions/user-defined-functions/) | Process and transform stream data — Map, Reduce, Reduce Stream, Map Stream, Batch Map, Accumulator | [Map](https://numaproj.io/numaflow-python/latest/api/mapper/) · [Reduce](https://numaproj.io/numaflow-python/latest/api/reducer/) · [Reduce Stream](https://numaproj.io/numaflow-python/latest/api/reducestreamer/) · [Map Stream](https://numaproj.io/numaflow-python/latest/api/mapstreamer/) · [Batch Map](https://numaproj.io/numaflow-python/latest/api/batchmapper/) · [Accumulator](https://numaproj.io/numaflow-python/latest/api/accumulator/) | +| [**User-Defined Sources (UDSource)**](https://numaflow.numaproj.io/user-guide/sources/user-defined-sources/) | Ingest data from custom sources with read, ack, pending, and partition handlers | [Sourcer](https://numaproj.io/numaflow-python/latest/api/sourcer/) · [Source Transform](https://numaproj.io/numaflow-python/latest/api/sourcetransformer/) | +| [**User-Defined Sinks (UDSink)**](https://numaflow.numaproj.io/user-guide/sinks/user-defined-sinks/) | Deliver data to custom destinations with per-message acknowledgment | [Sinker](https://numaproj.io/numaflow-python/latest/api/sinker/) | +| [**Side Inputs**](https://numaflow.numaproj.io/specifications/side-inputs/) | Broadcast slow-changing reference data to UDF vertices without passing it through the pipeline | [Side Input](https://numaproj.io/numaflow-python/latest/api/sideinput/) | ## Choosing Your Server Type Each functionality is served by a dedicated server class. Choose the server type that matches your workload characteristics: -| | **Sync** | **Async** | **MultiProcess** | -|---|---|---|---| -| **Concurrency Model** | Multithreaded | asyncio event loop | N forked server processes | -| **Handler Signature** | `def handler(...)` | `async def handler(...)` | `def handler(...)` | -| **GIL Behaviour** | Subject to GIL | Subject to GIL | Bypasses Python GIL | -| **Extra Config** | — | — | `server_count=N` required | -| **Typical Workloads** | Stateless transforms | I/O-bound operations | CPU-intensive operations | - -> [!TIP] -> Both Sync and MultiProcess handlers use a plain `def` — only Async requires `async def`. - -> [!IMPORTANT] -> MultiProcess forks N independent gRPC servers within the same container. The `server_count` parameter is required: `MapMultiprocServer(handler, server_count=2)`. +| | **Sync** | **Async** | +|---|---|---| +| **Concurrency Model** | Multithreaded | asyncio event loop | +| **Handler Signature** | `def handler(...)` | `async def handler(...)` | +| **GIL Behaviour** | Subject to GIL | Subject to GIL | +| **Typical Workloads** | Stateless transforms | I/O-bound operations | ## Server Class Reference | Functionality | Server Class(es) | |---|---| -| [**UDSource**](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/source) | [SourceAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/source/simple_source/example.py) | -| [**UDSink**](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/sink) | [SinkServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/sink/log/example.py), [SinkAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/sink/async_log/example.py) | -| [**Side Input**](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/sideinput) | [SideInputServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/sideinput/simple_sideinput/example.py) | -| [**Map**](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/map) | [MapServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/map/even_odd/example.py), [MapAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/map/async_forward_message/example.py), [MapMultiprocServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/map/multiproc_map/example.py) | -| [**Reduce**](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/reduce) | [ReduceAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/reduce/counter/example.py) | -| [**Reduce Stream**](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/reducestream) | [ReduceStreamAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/reducestream/counter/example.py) | -| [**Map Stream**](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/mapstream) | [MapStreamAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/mapstream/flatmap_stream/example.py) | -| [**Batch Map**](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/batchmap) | [BatchMapAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/batchmap/flatmap/example.py) | -| [**Accumulator**](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/accumulator) | [AccumulatorAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/accumulator/streamsorter/example.py) | -| [**Source Transform**](https://github.com/numaproj/numaflow-python/tree/main/packages/pynumaflow/examples/sourcetransform) | [SourceTransformServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/sourcetransform/event_time_filter/example.py), [SourceTransformAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/sourcetransform/async_event_time_filter/example.py), SourceTransformMultiProcServer | +| [**UDSource**](https://numaproj.io/numaflow-python/latest/api/sourcer/) | [SourceAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/source/simple_source/example.py) | +| [**UDSink**](https://numaproj.io/numaflow-python/latest/api/sinker/) | [SinkServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/sink/log/example.py), [SinkAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/sink/async_log/example.py) | +| [**Side Input**](https://numaproj.io/numaflow-python/latest/api/sideinput/) | [SideInputServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/sideinput/simple_sideinput/example.py) | +| [**Map**](https://numaproj.io/numaflow-python/latest/api/mapper/) | [MapServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/map/even_odd/example.py), [MapAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/map/async_forward_message/example.py) | +| [**Reduce**](https://numaproj.io/numaflow-python/latest/api/reducer/) | [ReduceAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/reduce/counter/example.py) | +| [**Reduce Stream**](https://numaproj.io/numaflow-python/latest/api/reducestreamer/) | [ReduceStreamAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/reducestream/counter/example.py) | +| [**Map Stream**](https://numaproj.io/numaflow-python/latest/api/mapstreamer/) | [MapStreamAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/mapstream/flatmap_stream/example.py) | +| [**Batch Map**](https://numaproj.io/numaflow-python/latest/api/batchmapper/) | [BatchMapAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/batchmap/flatmap/example.py) | +| [**Accumulator**](https://numaproj.io/numaflow-python/latest/api/accumulator/) | [AccumulatorAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/accumulator/streamsorter/example.py) | +| [**Source Transform**](https://numaproj.io/numaflow-python/latest/api/sourcetransformer/) | [SourceTransformServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/sourcetransform/event_time_filter/example.py), [SourceTransformAsyncServer](https://github.com/numaproj/numaflow-python/blob/main/packages/pynumaflow/examples/sourcetransform/async_event_time_filter/example.py) | All server types accept handlers in two styles: