diff --git a/packages/pynumaflow/examples/accumulator/blackhole/Dockerfile b/packages/pynumaflow/examples/accumulator/blackhole/Dockerfile new file mode 100644 index 00000000..d2f929be --- /dev/null +++ b/packages/pynumaflow/examples/accumulator/blackhole/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/accumulator/blackhole" +COPY examples/accumulator/blackhole/ $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/accumulator/blackhole" + +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:$PATH" +CMD ["python", "example.py"] + +EXPOSE 5000 diff --git a/packages/pynumaflow/examples/accumulator/blackhole/Makefile b/packages/pynumaflow/examples/accumulator/blackhole/Makefile new file mode 100644 index 00000000..cc163f19 --- /dev/null +++ b/packages/pynumaflow/examples/accumulator/blackhole/Makefile @@ -0,0 +1,22 @@ +TAG ?= stable +PUSH ?= false +IMAGE_REGISTRY = quay.io/numaio/numaflow-python/accumulator-blackhole:${TAG} +DOCKER_FILE_PATH = examples/accumulator/blackhole/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/accumulator/blackhole/README.md b/packages/pynumaflow/examples/accumulator/blackhole/README.md new file mode 100644 index 00000000..95aeab09 --- /dev/null +++ b/packages/pynumaflow/examples/accumulator/blackhole/README.md @@ -0,0 +1,46 @@ +# Blackhole Accumulator + +An example User Defined Function that demonstrates a "blackhole" accumulator: it intentionally +discards every datum it receives without forwarding any data to the next vertex. + +### Why emit drop messages instead of nothing? + +An accumulator that simply reads its input and emits nothing leaves the framework unable to release +the per-datum tracked state (WAL), which leads to unbounded memory growth (see +[numaflow-python#356](https://github.com/numaproj/numaflow-python/issues/356)). + +To get "blackhole" semantics without leaking memory, this example emits a *drop* message for every +datum using `Message.to_drop(datum)`. A drop message is not forwarded downstream, but it still lets +the framework advance the watermark and release the tracked state for that datum. + +This pattern is useful for multiplexer-, cross-join-, or filter-style accumulators that legitimately +need to omit some (or all) of their inputs. + +### Applying the Pipeline + +To apply the pipeline, use the following command: + +```shell + kubectl apply -f pipeline.yaml +``` + +### Publish messages + +Port-forward the HTTP endpoint, and make POST requests using curl. Remember to replace xxxx with the appropriate pod names. + +```shell + kubectl port-forward blackhole-http-one-0-xxxx 8444:8443 + + # Post data to the HTTP endpoint + curl -kq -X POST -d "101" https://localhost:8444/vertices/http-one -H "X-Numaflow-Event-Time: 60000" + curl -kq -X POST -d "102" https://localhost:8444/vertices/http-one -H "X-Numaflow-Event-Time: 61000" +``` + +### Verify the output + +```shell + kubectl logs -f blackhole-py-sink-0-xxxx +``` + +The sink receives nothing - every datum is dropped by the accumulator - while the accumulator logs +each datum it drops. diff --git a/packages/pynumaflow/examples/accumulator/blackhole/example.py b/packages/pynumaflow/examples/accumulator/blackhole/example.py new file mode 100644 index 00000000..ca4eb335 --- /dev/null +++ b/packages/pynumaflow/examples/accumulator/blackhole/example.py @@ -0,0 +1,56 @@ +import logging +import os +from collections.abc import AsyncIterable + +from pynumaflow import setup_logging +from pynumaflow.accumulator import Accumulator, AccumulatorAsyncServer +from pynumaflow.accumulator import ( + Message, + Datum, +) +from pynumaflow.shared.asynciter import NonBlockingIterator + +_LOGGER = setup_logging(__name__) +if os.getenv("PYTHONDEBUG"): + _LOGGER.setLevel(logging.DEBUG) + + +class Blackhole(Accumulator): + """Blackhole is an accumulator that intentionally discards every datum it receives + without forwarding any data downstream. + + A naive implementation would simply read the input stream and emit nothing. However, an + accumulator that never emits anything for the datums it consumes leaves the framework unable + to release the per-datum tracked state, leading to unbounded memory growth. + + Instead, this example emits a drop message for every datum using ``Message.to_drop(datum)``. + A drop message is not forwarded to the next vertex, but it still allows the framework to + advance the watermark and release the tracked state (WAL) for that datum - giving us + "blackhole" semantics without leaking memory. This pattern is useful for multiplexer-, + cross-join-, or filter-style accumulators that legitimately need to omit some (or all) of + their inputs. + """ + + def __init__(self): + _LOGGER.info("Blackhole initialized") + + async def handler( + self, + datums: AsyncIterable[Datum], + output: NonBlockingIterator, + ): + _LOGGER.info("Blackhole handler started") + async for datum in datums: + _LOGGER.info( + f"Dropping datum with event time: {datum.event_time}, " + f"watermark: {datum.watermark}" + ) + # Emit a drop message: nothing is forwarded downstream, but the framework still + # advances the watermark and releases the tracked state for this datum. + await output.put(Message.to_drop(datum)) + _LOGGER.info("Timeout reached") + + +if __name__ == "__main__": + grpc_server = AccumulatorAsyncServer(Blackhole) + grpc_server.start() diff --git a/packages/pynumaflow/examples/accumulator/blackhole/pipeline.yaml b/packages/pynumaflow/examples/accumulator/blackhole/pipeline.yaml new file mode 100644 index 00000000..63e1a4c4 --- /dev/null +++ b/packages/pynumaflow/examples/accumulator/blackhole/pipeline.yaml @@ -0,0 +1,60 @@ +apiVersion: numaflow.numaproj.io/v1alpha1 +kind: Pipeline +metadata: + name: blackhole +spec: + limits: + readBatchSize: 1 + watermark: + maxDelay: 5s + idleSource: + # Duration to be added to the current watermark to progress the watermark when source is idling + incrementBy: 1s + # Duration between the subsequent increment of the watermark as long the source remains idle. + stepInterval: 1s + # Duration after which a source is marked as idle due to lack of data. If determined idle then the watermark is progressed by `incrementBy` + threshold: 5s + # Duration after which, if source doesn't produce any data (from the pipeline's inception), the watermark is initialized with the current wall clock time. + initSourceDelay: 30s + vertices: + - name: http-one + scale: + min: 1 + max: 1 + source: + http: {} + - name: http-two + scale: + min: 1 + max: 1 + source: + http: {} + - name: py-accum + udf: + container: + image: quay.io/numaio/numaflow-python/accumulator-blackhole:stable + imagePullPolicy: Always + env: + - name: PYTHONDEBUG + value: "true" + groupBy: + window: + accumulator: + timeout: 10s + keyed: true + storage: + persistentVolumeClaim: + volumeSize: 1Gi + - name: py-sink + scale: + min: 1 + max: 1 + sink: + log: {} + edges: + - from: http-one + to: py-accum + - from: http-two + to: py-accum + - from: py-accum + to: py-sink diff --git a/packages/pynumaflow/examples/accumulator/blackhole/pyproject.toml 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@classmethod - def to_drop(cls: type[M]) -> M: - """Creates a Message instance that indicates the message should be dropped. + def to_drop(cls: type[M], datum: Datum) -> M: + """Creates a Message from the given Datum with the DROP tag set, so the message is not + forwarded to the next vertex but still allows the accumulator to advance the watermark + and release the tracked state. + + Unlike a plain dropped message, the watermark, event time, id and headers are carried over + from the datum. This is required for accumulators: the watermark must progress for the + tracked windows/messages (WAL) to be garbage collected. + + Args: + datum: The Datum to drop the results for. Returns: - M: A Message instance with empty value and DROP tag indicating - the message should be dropped. + M: A Message instance with empty value and the DROP tag set, carrying the datum's + watermark, event time, id and headers. """ - return cls(b"", None, [DROP]) + return cls( + value=b"", + keys=datum.keys, + tags=[DROP], + watermark=datum.watermark, + event_time=datum.event_time, + headers=datum.headers, + id=datum.id, + ) @property def value(self) -> bytes: diff --git a/packages/pynumaflow/tests/accumulator/test_datatypes.py b/packages/pynumaflow/tests/accumulator/test_datatypes.py index 0f829024..1c908b6e 100644 --- a/packages/pynumaflow/tests/accumulator/test_datatypes.py +++ b/packages/pynumaflow/tests/accumulator/test_datatypes.py @@ -226,10 +226,33 @@ def test_message_default_values(): def test_message_to_drop(): - msg = Message.to_drop() - assert msg.value == b"" - assert msg.keys == [] + test_keys = ["key1", "key2"] + test_event_time = mock_event_time() + test_watermark = mock_watermark() + test_headers = {"header1": "value1"} + test_id = "test_datum_id" + + datum = Datum( + keys=test_keys, + value=b"test_message_value", + event_time=test_event_time, + watermark=test_watermark, + id_=test_id, + headers=test_headers, + ) + + msg = Message.to_drop(datum) + + # The DROP tag must be set so the message is not forwarded downstream. assert "U+005C__DROP__" in msg.tags + # No value is forwarded, but the identifying/watermark fields are carried over so the + # accumulator can advance the watermark and release the tracked state. + assert msg.value == b"" + assert msg.keys == test_keys + assert msg.event_time == test_event_time + assert msg.watermark == test_watermark + assert msg.headers == test_headers + assert msg.id == test_id def test_message_none_values():