From 43dbb81a9533c421ed0f0f2b68e52b4a1e6ae0e8 Mon Sep 17 00:00:00 2001 From: ILay Date: Wed, 26 Aug 2026 18:07:06 +0200 Subject: [PATCH 1/8] [SIMPL-30451] Add distributed-execution service with guide and reference implementations Canonical location for documentation, example workflows and reference service implementations covering distributed execution patterns. Covers AC1-AC4: execution-target selection, decision support, readiness checks and code-level linkage. Tightly coupled jobs and the loosely coupled subprocess transport are verified by the test suite; the Kubernetes pipes transport is implemented but not yet cluster-run and is marked as such in the guide. Changelog: added --- .gitignore | 5 + .gitlab/CODEOWNERS | 3 + CHANGELOG.md | 18 + Dockerfile | 43 + LICENSE | 3 + README.md | 85 + .../user-guide/distributed-execution-guide.md | 443 +++ documents/user-guide/readiness-checklist.md | 118 + payload/Dockerfile | 30 + payload/requirements.txt | 3 + payload/work.py | 55 + pipeline.variables.sh | 1 + pyproject.toml | 40 + requirements.txt | 6 + src/distributed_execution/__init__.py | 3 + .../loosely_coupled/__init__.py | 1 + .../loosely_coupled/jobs.py | 154 ++ src/distributed_execution/ops.py | 83 + src/distributed_execution/preflight.py | 61 + src/distributed_execution/repository.py | 10 + .../tightly_coupled/__init__.py | 1 + .../tightly_coupled/jobs.py | 97 + tests/__init__.py | 1 + tests/test_loosely_coupled.py | 86 + tests/test_tightly_coupled.py | 59 + uv.lock | 2444 +++++++++++++++++ workspace.yaml | 3 + yaml/loosely-coupled/rbac-pipes-dispatch.yaml | 41 + .../loosely-coupled/values-pipes-payload.yaml | 32 + yaml/tightly-coupled/rbac-step-executor.yaml | 34 + yaml/tightly-coupled/values-run-launcher.yaml | 54 + .../values-dagster-distributed-execution.yaml | 54 + 32 files changed, 4071 insertions(+) create mode 100644 .gitignore create mode 100644 .gitlab/CODEOWNERS create mode 100644 CHANGELOG.md create mode 100644 Dockerfile create mode 100644 LICENSE create mode 100644 README.md create mode 100644 documents/user-guide/distributed-execution-guide.md create mode 100644 documents/user-guide/readiness-checklist.md create mode 100644 payload/Dockerfile create mode 100644 payload/requirements.txt create mode 100644 payload/work.py create mode 100644 pipeline.variables.sh create mode 100644 pyproject.toml create mode 100644 requirements.txt create mode 100644 src/distributed_execution/__init__.py create mode 100644 src/distributed_execution/loosely_coupled/__init__.py create mode 100644 src/distributed_execution/loosely_coupled/jobs.py create mode 100644 src/distributed_execution/ops.py create mode 100644 src/distributed_execution/preflight.py create mode 100644 src/distributed_execution/repository.py create mode 100644 src/distributed_execution/tightly_coupled/__init__.py create mode 100644 src/distributed_execution/tightly_coupled/jobs.py create mode 100644 tests/__init__.py create mode 100644 tests/test_loosely_coupled.py create mode 100644 tests/test_tightly_coupled.py create mode 100644 uv.lock create mode 100644 workspace.yaml create mode 100644 yaml/loosely-coupled/rbac-pipes-dispatch.yaml create mode 100644 yaml/loosely-coupled/values-pipes-payload.yaml create mode 100644 yaml/tightly-coupled/rbac-step-executor.yaml create mode 100644 yaml/tightly-coupled/values-run-launcher.yaml create mode 100644 yaml/values-dagster-distributed-execution.yaml diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..1ba4784 --- /dev/null +++ b/.gitignore @@ -0,0 +1,5 @@ +*.egg-info/ +**/__pycache__/ +.venv/ +.pytest_cache/ +.coverage diff --git a/.gitlab/CODEOWNERS b/.gitlab/CODEOWNERS new file mode 100644 index 0000000..88039f6 --- /dev/null +++ b/.gitlab/CODEOWNERS @@ -0,0 +1,3 @@ +# All subgroup members as Code Owners for all files + +* @simpl/simpl-open/data/supporting-data-services diff --git a/CHANGELOG.md b/CHANGELOG.md new file mode 100644 index 0000000..3985417 --- /dev/null +++ b/CHANGELOG.md @@ -0,0 +1,18 @@ +## 0.1.0 (unreleased) + +### added + +- Repository skeleton for the `distributed-execution` supporting data service. +- User guide covering execution-target selection, decision support and readiness checks. +- Runnable tightly coupled reference implementations (`in_process`, `multiprocess`, `k8s_job_executor`). +- Runnable loosely coupled reference implementations via dagster-pipes + (`PipesSubprocessClient`, `PipesK8sClient`) with a standalone external payload image. +- Working example configuration and RBAC for both execution targets. + +### pending + +- Publish the payload image to the container registry. +- End-to-end run of `loosely_coupled_k8s_job` against a cluster, and confirmation + of the Kubernetes rows in the readiness checklist. +- Screenshots of UI surfaces and integration-pattern diagrams. +- Platform architecture document update. diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000..5d5dd8d --- /dev/null +++ b/Dockerfile @@ -0,0 +1,43 @@ +FROM python:3.12-slim-bookworm + +COPY --from=ghcr.io/astral-sh/uv:0.10.8 /uv /uvx /bin/ + +RUN python -m pip install --no-cache-dir --upgrade "pip==26.1.2" + +WORKDIR /app + +# Explicit UID 1000 matches the runtime UID expected by the Dagster chart +RUN addgroup --gid 1000 appgroup && \ + adduser --uid 1000 --gid 1000 --disabled-password --gecos "" appuser + +RUN apt-get update && apt-get upgrade -y \ + && apt-get install -y --no-install-recommends \ + git=1:2.39.5-0+deb12u3 \ + curl=7.88.1-10+deb12u15 \ + && apt-get clean \ + && rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/* + +RUN chown -R appuser:appgroup /app /opt + +COPY pyproject.toml . +COPY uv.lock . +COPY src/ ./src/ +COPY payload/ ./payload/ +COPY workspace.yaml . + +ENV UV_COMPILE_BYTECODE=1 +ENV UV_LINK_MODE=copy + +RUN --mount=type=cache,target=/root/.cache/uv \ + uv sync --locked --no-dev + +ENV PATH="/app/.venv/bin:${PATH}" +ENV PYTHONPATH="/app/src" + +USER appuser + +RUN dagster --version + +EXPOSE 4000 + +CMD ["dagster", "code-server", "start", "-h", "0.0.0.0", "-p", "4000", "-f", "src/distributed_execution/repository.py"] diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..531a5c4 --- /dev/null +++ b/LICENSE @@ -0,0 +1,3 @@ +# EUROPEAN UNION PUBLIC LICENCE v. 1.2 + +Refer to [licence description](https://eupl.eu/1.2/en/) diff --git a/README.md b/README.md new file mode 100644 index 0000000..4e4167f --- /dev/null +++ b/README.md @@ -0,0 +1,85 @@ +# Distributed Execution + +Canonical location for documentation, example workflows and reference service +implementations covering **distributed execution patterns** in the Simpl +orchestration platform. + +The service answers one question for every workflow: *where does the compute +actually run, and how does runtime information get back to the control plane?* + +## Contents + +| Area | Location | Status | +|---|---|---| +| User guide | [documents/user-guide/distributed-execution-guide.md](documents/user-guide/distributed-execution-guide.md) | Complete | +| Readiness checklist | [documents/user-guide/readiness-checklist.md](documents/user-guide/readiness-checklist.md) | Complete | +| Tightly coupled reference | [src/distributed_execution/tightly_coupled/jobs.py](src/distributed_execution/tightly_coupled/jobs.py) | Runnable | +| Loosely coupled reference | [src/distributed_execution/loosely_coupled/jobs.py](src/distributed_execution/loosely_coupled/jobs.py) | Runnable (subprocess verified) | +| External payload | [payload/work.py](payload/work.py) | Runnable | +| Example configuration | [yaml/](yaml/) | Complete | + +## Project structure + +```text +distributed-execution/ +├── src/ +│ └── distributed_execution/ +│ ├── repository.py # Dagster definitions (entry point) +│ ├── ops.py # Shared ops used by both patterns +│ ├── preflight.py # Readiness checks backing the checklist +│ ├── tightly_coupled/ +│ │ └── jobs.py # in_process / multiprocess / k8s_job_executor +│ └── loosely_coupled/ +│ └── jobs.py # PipesSubprocessClient / PipesK8sClient +├── payload/ # External workload: dagster-pipes ONLY +│ ├── work.py +│ ├── requirements.txt +│ └── Dockerfile +├── documents/user-guide/ # AC1-AC4 documentation +├── yaml/ # Working example configuration +├── tests/ +├── Dockerfile +├── pyproject.toml +└── workspace.yaml +``` + +## Getting started + +Prerequisites: Python 3.12+ and `uv`. + +```bash +uv sync --dev +uv run dagster dev -f src/distributed_execution/repository.py +``` + +The Dagster UI is then available at . Two jobs run end to +end on a laptop with no cluster: `tightly_coupled_local_job` and +`loosely_coupled_subprocess_job`. The Kubernetes variants of each are documented +in the user guide. + +### Running tests + +```bash +uv run pytest +``` + +### Building the images + +Two images, deliberately: the code location and the external payload are +versioned and scanned independently. + +```bash +docker build -t distributed-execution:0.1.0 . +docker build -f payload/Dockerfile -t distributed-execution-payload:0.1.0 payload/ +``` + +## Status + +Both execution targets are implemented. The tightly coupled jobs and the loosely +coupled **subprocess** transport are verified by the test suite. The loosely +coupled **Kubernetes** transport is implemented but has not yet been run against +a cluster; see the guide's *Outstanding work* section. + +## Licence + +European Union Public Licence v1.2 — see [LICENSE](LICENSE). diff --git a/documents/user-guide/distributed-execution-guide.md b/documents/user-guide/distributed-execution-guide.md new file mode 100644 index 0000000..6d98c5a --- /dev/null +++ b/documents/user-guide/distributed-execution-guide.md @@ -0,0 +1,443 @@ +# Distributed Execution: Execution Targets and Integration Patterns + +**Audience:** Participants with permission to configure workflows. +**Scope:** How to select, document and configure the execution target and +integration pattern for a Dagster workflow on the Simpl orchestration platform. + +> **Document status.** Both setups are backed by runnable reference +> implementations in this repository. The tightly coupled setup and the loosely +> coupled **subprocess** transport are verified end to end. The loosely coupled +> **Kubernetes** transport is implemented and reviewed but has not yet been run +> against a cluster; statements specific to it are marked +> **NOT CLUSTER-VERIFIED**. See [Outstanding work](#8-outstanding-work). + +--- + +## 1. Concepts + +### 1.1 What an execution target is + +The **execution target** is where the compute for a workflow actually runs. It is +not a single Dagster setting — it is the combination of three decisions. + +| # | Decision | Where it is configured | Scope | +|---|---|---|---| +| 1 | **Placement** — which cluster and namespace the run lands in | Run launcher, in the Dagster instance / Helm values | Per deployment | +| 2 | **Granularity** — one process for the whole run, or one per step | `executor_def`, in workflow code | Per job | +| 3 | **Integration pattern** — whether the compute participates in Dagster's internals or reports back over a message channel | Job topology in workflow code | Per job | + +Decisions 1 and 2 are always present. Decision 3 is what this guide calls the +*integration pattern*, and it is the one with the largest operational +consequences, because it determines what the execution pod must be able to reach. + +### 1.2 The two integration patterns + +**Tightly coupled.** The process doing the work *is* a Dagster process. It imports +the code location, opens a connection to the metadata database and writes run +events directly. Runtime information reaches the control plane because the worker +*is* part of the control plane's data path. + +**Loosely coupled.** Dagster only dispatches. It creates a workload on an external +cluster running an arbitrary image, then acts as a listener. The external process +writes structured messages over the dagster-pipes protocol; Dagster reads them and +materialises them as logs and metadata. The execution pod never connects to the +metadata database. + +```mermaid +flowchart LR + subgraph TC["Tightly coupled"] + direction TB + D1[Dagster daemon] -->|K8sRunLauncher| RW1[Run worker pod] + RW1 -->|k8s_job_executor| SP1[Step pods] + RW1 -.->|events| DB1[(Metadata DB)] + SP1 -.->|events| DB1 + end + subgraph LC["Loosely coupled"] + direction TB + D2[Dagster daemon] -->|K8sRunLauncher| RW2[Run worker pod] + RW2 -->|PipesK8sClient| EXT[External workload
any image] + EXT -.->|pipes messages| RW2 + RW2 -.->|events| DB2[(Metadata DB)] + end +``` + +Note the asymmetry in the diagram: in the loosely coupled pattern only the run +worker touches the metadata database. That single arrow is the whole point of the +pattern. + +--- + +## 2. AC1 — Choosing an execution target + +### 2.1 Choose tightly coupled when + +- The workflow logic is written in Python and lives in a Dagster code location. +- Execution pods can be granted network egress to the metadata database, object + storage and Vault. +- You want per-step retries, step-level concurrency limits and asset + materialisation handled natively by Dagster. +- The compute belongs to the same trust boundary as the orchestration platform. + +### 2.2 Choose loosely coupled when + +- The workload is not Python, or cannot take a dependency on the `dagster` + package (different runtime, vendor image, GPU base image). +- The target cluster is administratively separate and **must not** be granted + connectivity to the orchestration metadata database. +- The compute belongs to a different trust boundary, and you want the blast + radius of a compromised execution pod limited to the message channel. +- The workload already exists as a container and you want to orchestrate it + without rewriting it. + +### 2.3 Prerequisites + +| Prerequisite | Tightly coupled | Loosely coupled | +|---|---|---| +| Run launcher configured | Required — `K8sRunLauncher` | Required — `K8sRunLauncher` | +| Code location image contains workflow code | Required | Required for the *launching* job only | +| Execution pod → metadata database (Postgres 5432) | **Required** | Not required | +| Execution pod → object storage | Required if the workflow reads/writes objects | Required only if the payload itself does | +| Execution pod → Vault | Required for secret injection | Only for the launching pod | +| Kubernetes RBAC to create Jobs | Required for `k8s_job_executor` only | **Required** in the target namespace | +| Message channel provisioned | Not applicable | **Required** — pod log stream or object-storage reader | +| Control-plane reporting | Automatic — worker writes events directly | Via pipes messages; **fails silently if the channel breaks** | + +### 2.4 What to document before the first execution + +Record the following at workflow level, in the repository holding the workflow, +before it is run for the first time. Section 5.4 explains where each item lives. + +1. **Chosen integration pattern** — tightly or loosely coupled, with a one-line + rationale referencing section 2.1 or 2.2. +2. **Executor and its configuration** — including `max_concurrent` where relevant. +3. **Target namespace** for run pods and, for `k8s_job_executor`, step pods. +4. **Runtime dependencies** the execution pods must reach, as host/port pairs. + This is the input to the NetworkPolicy review. +5. **Secrets consumed**, by Vault path — not by value. +6. **Expected evidence of a healthy run** — which of the checks in the + [readiness checklist](readiness-checklist.md) apply, and what a passing run + looks like in the UI. +7. **For loosely coupled only:** the payload image reference and the message + channel type. + +--- + +## 3. AC2 — Decision support + +### 3.1 Side-by-side comparison + +| Dimension | Tightly coupled | Loosely coupled | +|---|---|---| +| What runs the work | A Dagster process importing your code location | Any container image | +| Language constraint | Python, matching the code location's environment | None | +| Dependency on `dagster` package | Full package in the execution image | Only `dagster-pipes` in the payload image | +| Metadata DB connectivity from execution pod | **Required** | **Not required** | +| Runtime information flow | Direct writes to run storage | Structured messages → run worker → run storage | +| Log capture | Native, per step | Via the pipes message stream | +| Step-level retries | Native | Manual, at the dispatching op | +| Asset materialisation | Native, from any step | Reported by the payload, materialised by the launching op | +| Failure granularity | Per step | Per dispatched workload | +| Secret distribution | To every execution pod | To the launching pod, plus whatever the payload needs | +| Blast radius of a compromised execution pod | Orchestration runtime credentials | Message channel only | +| Cross-cluster execution | Not supported | Supported | + +### 3.2 Environment-fit indicators + +Use these as a fast triage. If several point the same way, that is your answer. + +| Observation about your environment | Points to | +|---|---| +| Workflow is pure Python and shares a repository with existing code locations | Tightly coupled | +| Steps are short and numerous, and you want native retries | Tightly coupled | +| NetworkPolicy review for the execution namespace is already approved | Tightly coupled | +| Compute must run in a cluster you do not administer | Loosely coupled | +| Security review objects to distributing DB credentials to execution pods | Loosely coupled | +| Payload is an existing vendor or third-party image | Loosely coupled | +| Workload needs GPUs or a base image incompatible with the code location image | Loosely coupled | +| Team owning the payload is different from the team owning the workflow | Loosely coupled | + +### 3.3 Trade-offs + +**Tightly coupled** + +- *Gains:* the richest observability with no extra work — every step's logs, + metadata, retries and asset materialisations are native. Simplest mental model. +- *Costs:* the widest connectivity surface. Every execution pod is a credential + holder and a database client. Scaling step pods scales database connections, + which is the usual first bottleneck. Execution image and code location image are + coupled, so a dependency conflict in one workflow can affect others sharing the + location. + +**Loosely coupled** + +- *Gains:* a narrow connectivity surface and genuine dependency isolation. The + payload team can ship on its own cadence. Cross-cluster and cross-trust-boundary + execution become possible. +- *Costs:* observability is only as good as the payload's instrumentation — an + uninstrumented payload appears in Dagster as one opaque step. Retry and + cancellation semantics must be implemented at the dispatching op. The message + channel becomes a new failure mode, and when it breaks the run can appear to + succeed while reporting nothing. Two images to build, version and scan instead + of one. + +--- + +## 4. AC3 — Readiness checks + +Pre-run validation items, their expected evidence, and the symptoms and +corrections for common misconfigurations are maintained separately, in +[readiness-checklist.md](readiness-checklist.md). + +--- + +## 5. AC4 — Configuring execution-target linkage in code + +### 5.1 Configuration constructs + +Five constructs bind a workflow to an execution target. Three live in code and +travel with the workflow; two live in deployment configuration. + +| Construct | Lives in | Binds | +|---|---|---| +| `executor_def` on `@job` / `to_job()` | Workflow code | Step granularity and placement | +| `tags` on `@job` | Workflow code | Run-level metadata; `dagster-k8s/config` overrides pod shape | +| Job topology — direct ops vs. a dispatching op using a pipes client | Workflow code | Integration pattern | +| `runLauncher` | Helm values | Run worker placement and reachable dependencies | +| `dagster-user-deployments` entry | Helm values | Which image the code location runs | + +The first three are the answer to "which configuration constructs bind the +execution target to a workflow" — and they are all versioned alongside the +workflow, which is why setup selection is a code review concern and not a runtime +toggle. + +### 5.2 Worked example — switching within the tightly coupled setup + +The reference jobs share one graph and differ only by `executor_def`. This is the +smallest possible demonstration that granularity is a code-level decision. + +**Before — steps run as subprocesses inside the run worker:** + +```python +tightly_coupled_local_job = distributed_execution_reference.to_job( + name="tightly_coupled_local_job", + executor_def=multiprocess_executor.configured({"max_concurrent": 2}), + tags={**COMMON_TAGS, "executor": "multiprocess"}, +) +``` + +**After — one Kubernetes Job per step:** + +```python +tightly_coupled_k8s_job = distributed_execution_reference.to_job( + name="tightly_coupled_k8s_job", + executor_def=k8s_job_executor.configured( + { + "image_pull_policy": "IfNotPresent", + "step_k8s_config": STEP_K8S_CONFIG, + } + ), + tags={**COMMON_TAGS, "executor": "k8s_job"}, +) +``` + +The graph, the ops and the run launcher are all unchanged. What changes +operationally: + +- Step pods are now created in the launcher's `jobNamespace`, so that namespace's + NetworkPolicy must permit egress to Postgres, object storage and Vault — not + just the run worker's namespace. +- The service account needs RBAC to create and watch Jobs. See + [yaml/tightly-coupled/rbac-step-executor.yaml](../../yaml/tightly-coupled/rbac-step-executor.yaml). +- Per-step resource requests apply per pod, so the aggregate request for a + fan-out step is the per-step request multiplied by concurrency. +- `summarise_results` now reports several distinct `contributing_hosts` instead of + one. That output metadata is the evidence that the switch actually took effect. + +### 5.3 Worked example — switching to loosely coupled + +The graphs for the two patterns differ by **exactly one node**. This is not a +simplification for the guide; it is how the reference implementations are +written, so the diff below is the real one. + +**Before — tightly coupled. The work happens in a Dagster process:** + +```python +@graph +def distributed_execution_reference(): + target_report = report_execution_target() + units = generate_work_units() + results = process_work_units(units) # runs in-process + return summarise_results(results, target_report) +``` + +**After — loosely coupled. The work is dispatched to an external image:** + +```python +@graph +def loosely_coupled_k8s_reference(): + target_report = report_execution_target() + units = generate_work_units() + results = dispatch_external_work_k8s(units) # dispatches, then listens + return summarise_results(results, target_report) +``` + +The dispatching op replaces direct computation with a pipes client call: + +```python +@op(out=Out(list)) +def dispatch_external_work_k8s( + context: OpExecutionContext, + units: list, + pipes_k8s_client: PipesK8sClient, +) -> list: + completed = pipes_k8s_client.run( + context=context, + image=PAYLOAD_IMAGE, + command=["python", "/app/work.py"], + namespace=PAYLOAD_NAMESPACE, + extras={"units": units}, + ) + return _results_from_pipes(context, completed) +``` + +and the job supplies the client as a resource instead of an executor: + +```python +loosely_coupled_k8s_job = loosely_coupled_k8s_reference.to_job( + name="loosely_coupled_k8s_job", + resource_defs={"pipes_k8s_client": PipesK8sClient()}, + tags={**COMMON_TAGS, "transport": "k8s_pod_logs"}, +) +``` + +#### What changes operationally + +| | Tightly coupled | Loosely coupled | +|---|---|---| +| Images to build | 1 (code location) | 2 (code location + payload) | +| Payload dependency surface | Full `dagster` package | `dagster-pipes` only | +| Execution pod → Postgres | Egress rule **required** | Egress rule can be **removed** | +| Execution pod → Vault / S3 | Credentials required | None needed by the payload | +| RBAC | Only for `k8s_job_executor` | Required on the **dispatching** pod | +| New failure mode | — | Broken message path | + +The NetworkPolicy rules you can *remove* are the point of the exercise. See +[yaml/loosely-coupled/rbac-pipes-dispatch.yaml](../../yaml/loosely-coupled/rbac-pipes-dispatch.yaml) +for what replaces them — note that `pods/log` is the message channel, so +removing that verb silently breaks reporting without failing the workload. + +#### The payload contract + +[payload/work.py](../../payload/work.py) is the whole contract: + +```python +with open_dagster_pipes() as pipes: + units = pipes.get_extra("units") + pipes.log.info(f"External payload started on {host}") + pipes.report_custom_message({"results": results, "host": host, ...}) +``` + +`pipes.log` entries appear in the Dagster run logs; `report_custom_message` is +read back by the dispatching op. The payload imports `dagster_pipes` and nothing +else from the Dagster ecosystem — a test asserts this, because the moment the +payload imports `dagster` the isolation argument for choosing this pattern +collapses. + +#### Message channel choice + +`PipesK8sClient` defaults to `PipesK8sPodLogsMessageReader`, which is what the +reference uses. It needs no extra infrastructure, but it couples message +delivery to the pod log stream — a log shipper that intercepts or truncates +stdout will break reporting while the workload still exits 0. That is why +`_results_from_pipes` raises on an empty message list rather than returning an +empty result. If your cluster's logging setup makes that transport unreliable, +switch to an object-storage message reader, which needs a bucket plus +credentials on both sides. + +> **NOT CLUSTER-VERIFIED.** The Kubernetes transport above is implemented and +> its RBAC and configuration are recorded, but it has not yet been run against a +> Simpl cluster. The subprocess transport, which exercises the identical payload +> and the identical message-parsing path, is verified by the test suite. + +### 5.4 Where setup selection is persisted + +Setup selection is persisted in configuration artifacts, never as a runtime-only +setting. There is no UI control that switches a workflow between the two patterns. + +| Artifact | Holds | +|---|---| +| `src//**/jobs.py` | `executor_def`, pipes client resource, tags, job topology | +| `payload/work.py` + `payload/Dockerfile` | The external payload contract and its image | +| `yaml/tightly-coupled/values-run-launcher.yaml` | Run launcher type, namespace, pod env | +| `yaml/tightly-coupled/rbac-step-executor.yaml` | Permissions required by `k8s_job_executor` | +| `yaml/loosely-coupled/values-pipes-payload.yaml` | Payload image reference and target namespace | +| `yaml/loosely-coupled/rbac-pipes-dispatch.yaml` | Permissions required by the dispatching pod | +| `yaml/values-dagster-distributed-execution.yaml` | Code location image and entry point | + +The Launchpad can override *run configuration* — op config, resource config, tags +— for a single run. It cannot change the executor or the integration pattern. +Those take effect only when a new image is built and the code location reloads. + +### 5.5 Reference implementations in this repository + +| Job | Executor / transport | Runs locally | Demonstrates | +|---|---|---|---| +| `tightly_coupled_in_process_job` | `in_process_executor` | Yes | Baseline; steps inside the run worker | +| `tightly_coupled_local_job` | `multiprocess_executor` | Yes | Subprocess fan-out bounded by the run pod | +| `tightly_coupled_k8s_job` | `k8s_job_executor` | No — needs a cluster | One Kubernetes Job per step | +| `loosely_coupled_subprocess_job` | `PipesSubprocessClient` | Yes | The pipes contract end to end, no cluster | +| `loosely_coupled_k8s_job` | `PipesK8sClient` | No — needs a cluster | External Job dispatch, messages over pod logs | + +The last two dispatch the same [payload/work.py](../../payload/work.py). The +subprocess variant exists so the pipes contract can be exercised, tested and +demonstrated without any infrastructure. + +Run the local variants with: + +```bash +uv sync --dev +uv run dagster dev -f src/distributed_execution/repository.py +``` + +`report_execution_target` emits pod identity and the visible orchestration +environment variables as output metadata on every run, which is the evidence the +readiness checklist refers to. + +--- + +## 6. Upstream documentation + +- Dagster — [run launchers](https://docs.dagster.io/deployment/execution/run-launchers) +- Dagster — [executors](https://docs.dagster.io/deployment/execution/executors) +- Dagster — [customizing your Kubernetes deployment](https://docs.dagster.io/deployment/oss/deployment-options/kubernetes/customizing-your-deployment) +- Dagster — [Dagster Pipes](https://docs.dagster.io/guides/build/external-pipelines) +- Dagster — [Dagster Pipes with Kubernetes](https://docs.dagster.io/guides/build/external-pipelines/kubernetes-pipeline) +- Kubernetes — [Jobs](https://kubernetes.io/docs/concepts/workloads/controllers/job/) +- Kubernetes — [network policies](https://kubernetes.io/docs/concepts/services-networking/network-policies/) +- Kubernetes — [RBAC authorization](https://kubernetes.io/docs/reference/access-authn-authz/rbac/) + +## 7. Related Simpl documentation + +- [dagster/documents/user-manual/Orchestration.md](../../../dagster/documents/user-manual/Orchestration.md) — workflow development lifecycle +- [dagster/documents/installation-guide/Installation Guide.md](../../../dagster/documents/installation-guide/Installation%20Guide.md) — full run launcher parameter reference +- [dagster/documents/user-manual/Observability.md](../../../dagster/documents/user-manual/Observability.md) — logging and monitoring + +## 8. Outstanding work + +Tracked under SIMPL-30451. + +| Item | AC | Status | +|---|---|---| +| Execution-target choices, prerequisites, workflow-level documentation | AC1 | Complete | +| Comparison, environment-fit indicators, trade-offs | AC2 | Complete | +| Readiness checklist and evidence mapping | AC3 | Complete; K8s pipes checks not cluster-verified | +| Misconfiguration symptoms and corrections | AC3 | Complete; K8s pipes symptoms not cluster-verified | +| Configuration constructs and persistence | AC4 | Complete | +| Before-and-after example, tightly coupled | AC4 | Complete | +| Before-and-after example, switching to loosely coupled | AC4 | Complete | +| Runnable tightly coupled reference implementations | AC4 | Complete | +| Runnable loosely coupled reference implementation | AC4 | Complete (subprocess verified, K8s not cluster-run) | +| Payload image published to the registry | Tech details | **Pending** | +| End-to-end run of `loosely_coupled_k8s_job` on a cluster | Tech details | **Pending** | +| Screenshots of UI surfaces | Tech details | **Pending** | +| Platform architecture document update | Tech details | **Pending** | diff --git a/documents/user-guide/readiness-checklist.md b/documents/user-guide/readiness-checklist.md new file mode 100644 index 0000000..447fbdb --- /dev/null +++ b/documents/user-guide/readiness-checklist.md @@ -0,0 +1,118 @@ +# Distributed Execution: Readiness Checklist + +Pre-run validation for a workflow's execution target. Companion to the +[user guide](distributed-execution-guide.md); this document covers AC3. + +Run these checks **before the first execution** of a workflow, and again after any +change to the run launcher, the executor, the target namespace or the code +location image. + +> **NOT CLUSTER-VERIFIED.** Checks L4–L9 and the Kubernetes rows of section 4.3 +> are derived from the implemented reference but have not yet been run against a +> Simpl cluster. Checks L1–L3, which exercise the payload contract and the +> message-parsing path, are covered by the test suite. + +--- + +## 1. Common checks — both setups + +| # | Check | How to verify | Expected evidence | +|---|---|---|---| +| C1 | Code location loads | Dagster UI → **Deployment** → **Code locations** | Location `distributed-execution` shows status *Loaded*, with a recent load timestamp and no error banner | +| C2 | Jobs are registered | Dagster UI → **Jobs** | The jobs listed in the guide's section 5.5 appear under the code location | +| C3 | Image tag matches the intended release | `kubectl -n dagster get deploy -l dagster/code-location=distributed-execution -o jsonpath='{.items[*].spec.template.spec.containers[*].image}'` | Tag equals the version in `pipeline.variables.sh`; never `latest` | +| C4 | Image architecture matches the nodes | `docker manifest inspect ` | Includes `linux/amd64`; a manifest with only `linux/arm64` produces `no match for platform` at pull time | +| C5 | Run launcher type is as intended | `kubectl -n dagster get cm dagster-instance -o yaml` | `run_launcher` block shows `K8sRunLauncher` and the expected `job_namespace` | +| C6 | Target namespace exists and is schedulable | `kubectl get ns ` and `kubectl -n get resourcequota` | Namespace is `Active`; remaining quota exceeds the job's aggregate requests | + +## 2. Tightly coupled checks + +| # | Check | How to verify | Expected evidence | +|---|---|---|---| +| T1 | Run pod reaches the metadata database | Launch `tightly_coupled_in_process_job` | Run reaches `SUCCESS`; `report_execution_target` output metadata lists `DAGSTER_POSTGRES_HOST`, `DAGSTER_POSTGRES_USER` and `DAGSTER_POSTGRES_DB` under `env_vars_present`, and `env_vars_missing` is empty | +| T2 | Vault injection works | Same run; inspect the run pod | `kubectl -n dagster describe pod ` shows the `vault-env` init container completed; no `vault:` literal remains in the process environment | +| T3 | Object storage is reachable | Same run, if the workflow uses S3 | No `EndpointConnectionError` in run logs; `S3_ENDPOINT_URL` present in `env_vars_present` | +| T4 | Multiprocess fan-out is bounded correctly | Launch `tightly_coupled_local_job` | Run succeeds; `summarise_results` metadata shows exactly one entry in `contributing_hosts`, confirming steps stayed on the run worker | +| T5 | RBAC permits step Jobs | `kubectl -n dagster auth can-i create jobs --as=system:serviceaccount:dagster:dagster-dev` | Returns `yes`; required only for `k8s_job_executor` | +| T6 | Step pods are actually created | Launch `tightly_coupled_k8s_job`, then `kubectl -n dagster get jobs -l dagster/run-id=` | One Job per step; `summarise_results` metadata shows **several** distinct `contributing_hosts` | +| T7 | Step pod egress is permitted | Same run | Steps do not hang in `STARTING`; run logs contain no connection timeouts to port 5432 | +| T8 | Failure surfaces as a pod failure | Force a step failure in a scratch namespace | `failPodOnRunFailure: true` is set, and the step pod reports `Failed` rather than `Completed` | + +## 3. Loosely coupled checks + +| # | Check | How to verify | Expected evidence | +|---|---|---|---| +| L1 | Payload contract is intact | `uv run pytest tests/test_loosely_coupled.py` | `test_payload_does_not_import_dagster` passes — the payload imports `dagster_pipes` only | +| L2 | Pipes round trip works | Launch `loosely_coupled_subprocess_job` | Run reaches `SUCCESS`; run logs contain the payload's `External payload started on …` line, proving `pipes.log` crossed the channel | +| L3 | Silence is treated as failure | Same test module | `test_silent_message_path_is_treated_as_failure` passes — an empty message list raises rather than yielding an empty result | +| L4 | Payload image is pullable by the target cluster | `kubectl -n run pull-probe --image= --restart=Never --command -- true` | Pod reaches `Completed`; no `ImagePullBackOff` | +| L5 | Dispatcher can create Jobs in the payload namespace | `kubectl -n auth can-i create jobs --as=system:serviceaccount:dagster:dagster-dev` | Returns `yes` | +| L6 | Dispatcher can read pod logs — **the message channel** | `kubectl -n auth can-i get pods/log --as=system:serviceaccount:dagster:dagster-dev` | Returns `yes`. A `no` here breaks reporting *without* failing the workload | +| L7 | Payload Job is actually created | Launch `loosely_coupled_k8s_job`, then `kubectl -n get jobs -l app.kubernetes.io/name=distributed-execution-payload` | One Job per dispatch, labelled `dagster/execution-target=loosely-coupled` | +| L8 | Payload has **no** orchestration connectivity | Same run; inspect run logs | No `Payload could see orchestration runtime credentials` warning. This is a positive check — absence of errors is not sufficient | +| L9 | Work ran off-platform | Same run | `summarise_results` metadata shows `contributing_hosts` containing the payload pod name, not the run worker's hostname | + +Checks L4–L9 require a cluster. L1–L3 run on a laptop and should gate every +change to the payload or the dispatching op. + +--- + +## 4. Common misconfiguration symptoms + +### 4.1 Both setups + +| Symptom | Likely cause | Correction | +|---|---|---| +| Code location stuck in *Loading*, then errors | Entry point path in `codeServerArgs` does not match the image layout | Confirm `--python-file` matches `workspace.yaml`; both must be `src/distributed_execution/repository.py` | +| `ImagePullBackOff` with `no match for platform` | Image published for a single non-matching architecture | Rebuild multi-arch with `docker buildx`, and pin a version tag rather than `latest` | +| Run stays in `QUEUED` indefinitely | Run coordinator concurrency limit reached, or no schedulable node | Check `max_concurrent_runs` and tag concurrency limits; check node capacity and resource quota | +| Run fails immediately with a serialisation error | Code location image and Dagster control-plane versions diverge | Align the `dagster` version in `pyproject.toml` with the chart's version and rebuild | + +### 4.2 Tightly coupled + +| Symptom | Likely cause | Correction | +|---|---|---| +| Run pod starts, then fails with a connection timeout to port 5432 | Execution namespace NetworkPolicy does not permit egress to Postgres | Add an egress rule for the metadata database, or move run pods to an already-approved namespace via `jobNamespace` | +| `env_vars_missing` is non-empty in `report_execution_target` metadata | Env vars are set on the code location deployment but not on the run pod | Add them under `runLauncher.config.k8sRunLauncher.runK8sConfig.containerConfig.env` — code location env is **not** inherited by run pods | +| A literal `vault:...` string appears as a value at runtime | Vault mutating webhook did not process the pod | Verify the `vault.security.banzaicloud.io/*` annotations are on the **run pod** template, not only the code location pod | +| Steps hang in `STARTING` with `k8s_job_executor` | Service account lacks Job create/watch permission | Apply `yaml/tightly-coupled/rbac-step-executor.yaml` and confirm with `kubectl auth can-i` | +| `contributing_hosts` shows one host when `k8s_job_executor` is configured | Run tags or Launchpad config overrode the executor, or the image predates the change | Confirm the code location reloaded after the image bump; check the run's *Config* tab for an `execution:` override | +| Step pods `OOMKilled` under fan-out | Per-step memory limit applied per pod, aggregate exceeded quota | Raise `step_k8s_config` limits or lower step concurrency; the two multiply | +| Postgres refuses connections once fan-out grows | Each step pod is an independent DB client | Reduce step concurrency, raise the Postgres connection limit, or move the fan-out step to a loosely coupled target | + +### 4.3 Loosely coupled + +| Symptom | Likely cause | Correction | +|---|---|---| +| Op fails with `No pipes messages received from the external payload` | The message path is broken, not the workload | Work through L6 then L4. The payload very likely ran and succeeded; only its reporting was lost | +| Payload pod `Completed`, but Dagster shows no payload log lines | A log shipper is intercepting or truncating stdout | Exclude the payload namespace from the shipper, or switch to an object-storage message reader | +| Op hangs until `pod_wait_timeout` (default 24 h) | Payload Job never scheduled — quota, node selector or image pull | Check `kubectl -n describe job `; lower `pod_wait_timeout` so the failure surfaces quickly | +| `403 Forbidden` creating the Job | Dispatcher service account lacks Job create permission | Apply `yaml/loosely-coupled/rbac-pipes-dispatch.yaml` in the **payload** namespace | +| Warning: `Payload could see orchestration runtime credentials` | Payload pod inherited run-pod env or a Vault annotation | Remove the inherited env; the payload should receive only what `extras` and explicit `env` pass it | +| Payload exits non-zero but the run reports success | Exit status not being checked, or messages read before failure | Confirm the dispatching op returns through `_results_from_pipes`; do not swallow `PipesClientCompletedInvocation` errors | +| Payload receives no `units` | `extras` key mismatch between dispatcher and `pipes.get_extra()` | Both sides must use the same key; a typo yields a `KeyError` inside the payload | +| Run cancelled in the UI, payload pod keeps running | Cancellation is not propagated to dispatched workloads automatically | `delete_pod_on_completion` handles the normal path; for cancellation, verify orphaned Jobs and add a cleanup sensor | + +> **NOT CLUSTER-VERIFIED.** Rows referencing Kubernetes behaviour follow from the +> implemented reference and the dagster-k8s API, but have not been observed on a +> Simpl cluster. Confirm and amend after the first cluster run. + +--- + +## 5. Evidence retention + +For each workflow's first execution, attach to the workflow's repository or +change record: + +1. The run ID and its final status. +2. The `report_execution_target` output metadata block (pod identity, namespace, + env var presence). +3. The `summarise_results` metadata block (`contributing_hosts`), which proves + which execution target was actually used. +4. For `k8s_job_executor`, the output of `kubectl get jobs -l dagster/run-id=`. +5. For the loosely coupled target, the payload image digest and the run log line + emitted by `pipes.log` — together they prove which payload version ran and + that the message channel was open. + +Items 2 and 3 together are sufficient to demonstrate that the configured +execution target is the one that ran — which is the point of the checklist. diff --git a/payload/Dockerfile b/payload/Dockerfile new file mode 100644 index 0000000..3f022b1 --- /dev/null +++ b/payload/Dockerfile @@ -0,0 +1,30 @@ +# External payload image for the loosely coupled execution target. +# +# Built and versioned independently of the code location image. It contains no +# workflow code and no `dagster` package - only the pipes protocol client. +# +# docker build -f payload/Dockerfile -t distributed-execution-payload:0.1.0 payload/ + +FROM python:3.12-slim-bookworm + +RUN python -m pip install --no-cache-dir --upgrade "pip==26.1.2" + +WORKDIR /app + +RUN addgroup --gid 1000 appgroup && \ + adduser --uid 1000 --gid 1000 --disabled-password --gecos "" appuser + +RUN apt-get update && apt-get upgrade -y \ + && apt-get clean \ + && rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/* + +COPY requirements.txt . +RUN pip install --no-cache-dir -r requirements.txt + +COPY work.py . + +RUN chown -R appuser:appgroup /app + +USER appuser + +CMD ["python", "/app/work.py"] diff --git a/payload/requirements.txt b/payload/requirements.txt new file mode 100644 index 0000000..0c15667 --- /dev/null +++ b/payload/requirements.txt @@ -0,0 +1,3 @@ +# The payload's entire dependency surface. Note the absence of `dagster`: +# dependency isolation is the point of the loosely coupled pattern. +dagster-pipes>=1.13.0 diff --git a/payload/work.py b/payload/work.py new file mode 100644 index 0000000..01ce542 --- /dev/null +++ b/payload/work.py @@ -0,0 +1,55 @@ +"""External payload for the loosely coupled execution target. + +This script is deliberately NOT a Dagster code location. It depends only on +``dagster-pipes``, never on ``dagster``, and it never opens a connection to the +orchestration metadata database. Everything it reports reaches the control plane +through the pipes message channel. + +Run by ``distributed_execution.loosely_coupled.jobs`` via either +``PipesSubprocessClient`` (local) or ``PipesK8sClient`` (cluster). +""" + +import os +import socket + +from dagster_pipes import open_dagster_pipes + +# Presence of any of these would mean the payload was granted orchestration +# runtime credentials it has no business holding. +ORCHESTRATION_ENV_VARS = ( + "DAGSTER_POSTGRES_HOST", + "DAGSTER_POSTGRES_USER", + "DAGSTER_POSTGRES_DB", +) + + +def main() -> None: + with open_dagster_pipes() as pipes: + units = pipes.get_extra("units") + host = socket.gethostname() + + pipes.log.info(f"External payload started on {host} with {len(units)} work units") + + results = [{"unit": unit, "squared": unit * unit, "host": host} for unit in units] + + leaked = [name for name in ORCHESTRATION_ENV_VARS if os.environ.get(name)] + if leaked: + pipes.log.warning( + "Orchestration runtime credentials are visible to this payload: " + f"{', '.join(leaked)}. A loosely coupled target should not have them." + ) + + # The only channel back to the control plane. + pipes.report_custom_message( + { + "results": results, + "host": host, + "orchestration_env_visible": leaked, + } + ) + + pipes.log.info(f"External payload finished on {host}") + + +if __name__ == "__main__": + main() diff --git a/pipeline.variables.sh b/pipeline.variables.sh new file mode 100644 index 0000000..0316183 --- /dev/null +++ b/pipeline.variables.sh @@ -0,0 +1 @@ +PROJECT_VERSION_NUMBER="0.1.0" diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..65de18c --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,40 @@ +[project] +name = "distributed_execution" +version = "0.1.0" +description = "Reference implementations and user guide for Dagster distributed execution targets and integration patterns" +requires-python = ">=3.12" +dependencies = [ + "dagster", + "dagster-k8s>=0.27.16", + "dagster-postgres>=0.27.16", + "dagster-webserver>=1.11.16", + "pip>=26.1.2", + "pydantic>=2.0", +] + +[dependency-groups] +dev = [ + "pytest>=8.4.2", + "pytest-cov>=7.0.0", +] + +[build-system] +requires = ["setuptools", "wheel"] +build-backend = "setuptools.build_meta" + +[tool.setuptools] +package-dir = {"" = "src"} + +[tool.setuptools.packages.find] +where = ["src"] + +[tool.setuptools.package-data] +distributed_execution = ["*.py"] + +[tool.black] +line-length = 120 +target-version = ['py312'] + +[tool.pytest.ini_options] +pythonpath = ["src"] +testpaths = ["tests"] diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000..f1f635c --- /dev/null +++ b/requirements.txt @@ -0,0 +1,6 @@ +dagster +dagster-k8s>=0.27.16 +dagster-postgres>=0.27.16 +dagster-webserver>=1.11.16 +pip>=26.1.2 +pydantic>=2.0 diff --git a/src/distributed_execution/__init__.py b/src/distributed_execution/__init__.py new file mode 100644 index 0000000..a9bd636 --- /dev/null +++ b/src/distributed_execution/__init__.py @@ -0,0 +1,3 @@ +"""Reference implementations for Dagster distributed execution targets.""" + +__version__ = "0.1.0" diff --git a/src/distributed_execution/loosely_coupled/__init__.py b/src/distributed_execution/loosely_coupled/__init__.py new file mode 100644 index 0000000..2c68c76 --- /dev/null +++ b/src/distributed_execution/loosely_coupled/__init__.py @@ -0,0 +1 @@ +"""Loosely coupled (dagster-pipes) execution-target reference implementations.""" diff --git a/src/distributed_execution/loosely_coupled/jobs.py b/src/distributed_execution/loosely_coupled/jobs.py new file mode 100644 index 0000000..b525bf7 --- /dev/null +++ b/src/distributed_execution/loosely_coupled/jobs.py @@ -0,0 +1,154 @@ +"""Loosely coupled reference implementations. + +Dagster does not run the work here. It dispatches an external payload and then +acts as a listener: the payload writes structured messages over the +dagster-pipes protocol, which Dagster materialises as logs and metadata. The +payload never connects to the metadata database. + +Two transports are provided. Both dispatch the *same* payload script and produce +the same output shape as the tightly coupled ``process_work_units`` op, so the +graphs differ by exactly one node - see the guide's section 5.3. +""" + +import os +import sys +from pathlib import Path + +from dagster import Failure, OpExecutionContext, Out, PipesSubprocessClient, graph, op +from dagster_k8s import PipesK8sClient + +from distributed_execution.ops import ( + generate_work_units, + report_execution_target, + summarise_results, +) + +# Payload lives outside src/ so it can be built into its own image. +_REPO_ROOT = Path(__file__).resolve().parents[3] +PAYLOAD_SCRIPT = os.environ.get("PIPES_PAYLOAD_SCRIPT", str(_REPO_ROOT / "payload" / "work.py")) + +PAYLOAD_IMAGE = os.environ.get( + "PIPES_PAYLOAD_IMAGE", + "code.europa.eu:4567/simpl/simpl-open/data/supporting-data-services/distributed-execution/payload:0.1.0", +) +PAYLOAD_NAMESPACE = os.environ.get("PIPES_PAYLOAD_NAMESPACE", "dagster") + +COMMON_TAGS = { + "execution_target": "loosely_coupled", + "business_operation": "DISTRIBUTED_EXECUTION_REFERENCE", +} + + +def _results_from_pipes(context: OpExecutionContext, completed) -> list: + """Read the payload's results off the message channel. + + A broken message path is the defining failure mode of this pattern: the + external workload can exit 0 while reporting nothing, so silence is treated + as a failure rather than an empty result. + """ + messages = completed.get_custom_messages() + if not messages: + raise Failure( + description=( + "No pipes messages received from the external payload. The workload may have " + "run successfully while its messages were lost. Verify the message path: for " + "the Kubernetes transport, confirm the pod log stream is readable and not " + "being truncated or intercepted by a log shipper." + ) + ) + + payload = messages[-1] + leaked = payload.get("orchestration_env_visible") or [] + if leaked: + context.log.warning( + "Payload could see orchestration runtime credentials: %s. " + "This defeats the isolation the loosely coupled target is chosen for.", + ", ".join(leaked), + ) + + context.log.info("Received %s results from external host %s", len(payload["results"]), payload["host"]) + return payload["results"] + + +@op( + description="Dispatches the external payload as a local subprocess and listens on the pipes channel.", + out=Out(list), +) +def dispatch_external_work_subprocess( + context: OpExecutionContext, + units: list, + pipes_subprocess_client: PipesSubprocessClient, +) -> list: + completed = pipes_subprocess_client.run( + context=context, + command=[sys.executable, PAYLOAD_SCRIPT], + extras={"units": units}, + ) + return _results_from_pipes(context, completed) + + +@op( + description="Dispatches the external payload as a Kubernetes Job and listens on the pod log stream.", + out=Out(list), +) +def dispatch_external_work_k8s( + context: OpExecutionContext, + units: list, + pipes_k8s_client: PipesK8sClient, +) -> list: + completed = pipes_k8s_client.run( + context=context, + image=PAYLOAD_IMAGE, + command=["python", "/app/work.py"], + namespace=PAYLOAD_NAMESPACE, + extras={"units": units}, + base_pod_meta={ + "labels": { + "app.kubernetes.io/name": "distributed-execution-payload", + "dagster/execution-target": "loosely-coupled", + } + }, + ) + return _results_from_pipes(context, completed) + + +@graph +def loosely_coupled_subprocess_reference(): + target_report = report_execution_target() + units = generate_work_units() + results = dispatch_external_work_subprocess(units) + return summarise_results(results, target_report) + + +@graph +def loosely_coupled_k8s_reference(): + target_report = report_execution_target() + units = generate_work_units() + results = dispatch_external_work_k8s(units) + return summarise_results(results, target_report) + + +loosely_coupled_subprocess_job = loosely_coupled_subprocess_reference.to_job( + name="loosely_coupled_subprocess_job", + description=( + "Loosely coupled via subprocess transport. Demonstrates the pipes contract end to end " + "on a laptop, with no cluster and no metadata database access from the payload." + ), + resource_defs={"pipes_subprocess_client": PipesSubprocessClient()}, + tags={**COMMON_TAGS, "transport": "subprocess"}, +) + +loosely_coupled_k8s_job = loosely_coupled_k8s_reference.to_job( + name="loosely_coupled_k8s_job", + description=( + "Loosely coupled via Kubernetes Job dispatch. Messages return over the pod log stream. " + "Requires a cluster and RBAC to create Jobs in the target namespace." + ), + resource_defs={"pipes_k8s_client": PipesK8sClient()}, + tags={**COMMON_TAGS, "transport": "k8s_pod_logs"}, +) + +LOOSELY_COUPLED_JOBS = [ + loosely_coupled_subprocess_job, + loosely_coupled_k8s_job, +] diff --git a/src/distributed_execution/ops.py b/src/distributed_execution/ops.py new file mode 100644 index 0000000..47a5920 --- /dev/null +++ b/src/distributed_execution/ops.py @@ -0,0 +1,83 @@ +"""Ops shared by every execution-target reference implementation. + +The ops deliberately do trivial work. What they demonstrate is *where* the work +happens and *how* that fact reaches the control plane. +""" + +# No `from __future__ import annotations`: it stringifies the `context` hint and +# Dagster's op context validation then rejects it. +from dagster import Config, MetadataValue, OpExecutionContext, Out, op + +from distributed_execution.preflight import ( + TIGHTLY_COUPLED_ENV_VARS, + check_env_vars, + describe_pod_identity, +) + + +class WorkUnitsConfig(Config): + count: int = 4 + + +@op( + description="Emits execution-target evidence: pod identity plus reachability of orchestration dependencies.", + out=Out(dict), +) +def report_execution_target(context: OpExecutionContext) -> dict: + identity = describe_pod_identity() + env_check = check_env_vars(TIGHTLY_COUPLED_ENV_VARS) + + context.log.info("Executing on %s (pid %s), namespace %s", identity["hostname"], identity["pid"], identity["namespace"]) + if env_check["missing"]: + context.log.warning( + "Orchestration runtime env vars not visible to this process: %s. " + "Expected for a loosely coupled target; a misconfiguration for a tightly coupled one.", + ", ".join(env_check["missing"]), + ) + + context.add_output_metadata( + { + "hostname": MetadataValue.text(identity["hostname"]), + "namespace": MetadataValue.text(identity["namespace"]), + "run_id": MetadataValue.text(identity["run_id"]), + "image": MetadataValue.text(identity["image"]), + "env_vars_present": MetadataValue.json(env_check["present"]), + "env_vars_missing": MetadataValue.json(env_check["missing"]), + } + ) + return {"identity": identity, "env_check": env_check} + + +@op(description="Produces the work units that later steps fan out over.", out=Out(list)) +def generate_work_units(context: OpExecutionContext, config: WorkUnitsConfig) -> list[int]: + units = list(range(config.count)) + context.log.info("Generated %s work units", len(units)) + return units + + +@op(description="Performs one unit of work per element; runs once per step-execution slot.", out=Out(list)) +def process_work_units(context: OpExecutionContext, units: list[int]) -> list[dict]: + identity = describe_pod_identity() + results = [{"unit": unit, "squared": unit * unit, "host": identity["hostname"]} for unit in units] + context.log.info("Processed %s units on %s", len(results), identity["hostname"]) + return results + + +@op(description="Aggregates results and attaches the distinct hosts that contributed.") +def summarise_results(context: OpExecutionContext, results: list[dict], target_report: dict) -> dict: + hosts = sorted({row["host"] for row in results}) + summary = { + "units": len(results), + "total": sum(row["squared"] for row in results), + "contributing_hosts": hosts, + "launcher_namespace": target_report["identity"]["namespace"], + } + context.add_output_metadata( + { + "units": MetadataValue.int(summary["units"]), + "contributing_hosts": MetadataValue.json(hosts), + "launcher_namespace": MetadataValue.text(summary["launcher_namespace"]), + } + ) + context.log.info("Summary: %s", summary) + return summary diff --git a/src/distributed_execution/preflight.py b/src/distributed_execution/preflight.py new file mode 100644 index 0000000..f8c3031 --- /dev/null +++ b/src/distributed_execution/preflight.py @@ -0,0 +1,61 @@ +"""Readiness checks backing the pre-run validation checklist. + +Each function returns a plain dict so the same result can be logged as Dagster +metadata (evidence for the checklist) or asserted in a test. +""" + +from __future__ import annotations + +import os +import socket +from urllib.parse import urlparse + +# Runtime dependencies a tightly coupled execution pod must be able to resolve. +TIGHTLY_COUPLED_ENV_VARS = ( + "DAGSTER_POSTGRES_HOST", + "DAGSTER_POSTGRES_USER", + "DAGSTER_POSTGRES_DB", +) + + +def check_env_vars(names: tuple[str, ...] | list[str]) -> dict: + """Report which of ``names`` are present, without echoing their values.""" + present = [name for name in names if os.environ.get(name)] + missing = [name for name in names if not os.environ.get(name)] + return { + "check": "env_vars", + "passed": not missing, + "present": present, + "missing": missing, + } + + +def check_tcp_reachable(host: str, port: int, timeout: float = 3.0) -> dict: + """Open a TCP connection to prove the execution pod can reach a dependency.""" + result = {"check": "tcp_reachable", "target": f"{host}:{port}", "passed": False, "error": None} + try: + with socket.create_connection((host, port), timeout=timeout): + result["passed"] = True + except OSError as exc: + result["error"] = str(exc) + return result + + +def check_endpoint_reachable(url: str, timeout: float = 3.0) -> dict: + """TCP-level reachability for an endpoint expressed as a URL.""" + parsed = urlparse(url) + if not parsed.hostname: + return {"check": "tcp_reachable", "target": url, "passed": False, "error": "no hostname in URL"} + port = parsed.port or (443 if parsed.scheme == "https" else 80) + return check_tcp_reachable(parsed.hostname, port, timeout=timeout) + + +def describe_pod_identity() -> dict: + """Where this process is actually running - the primary execution-target evidence.""" + return { + "hostname": socket.gethostname(), + "pid": os.getpid(), + "namespace": os.environ.get("DAGSTER_K8S_PIPELINE_RUN_NAMESPACE", ""), + "run_id": os.environ.get("DAGSTER_RUN_ID", ""), + "image": os.environ.get("DAGSTER_K8S_PIPELINE_RUN_IMAGE", ""), + } diff --git a/src/distributed_execution/repository.py b/src/distributed_execution/repository.py new file mode 100644 index 0000000..62974d4 --- /dev/null +++ b/src/distributed_execution/repository.py @@ -0,0 +1,10 @@ +"""Dagster definitions for the distributed-execution code location.""" + +from dagster import Definitions + +from distributed_execution.loosely_coupled.jobs import LOOSELY_COUPLED_JOBS +from distributed_execution.tightly_coupled.jobs import TIGHTLY_COUPLED_JOBS + +defs = Definitions( + jobs=[*TIGHTLY_COUPLED_JOBS, *LOOSELY_COUPLED_JOBS], +) diff --git a/src/distributed_execution/tightly_coupled/__init__.py b/src/distributed_execution/tightly_coupled/__init__.py new file mode 100644 index 0000000..384e263 --- /dev/null +++ b/src/distributed_execution/tightly_coupled/__init__.py @@ -0,0 +1 @@ +"""Tightly coupled execution-target reference implementations.""" diff --git a/src/distributed_execution/tightly_coupled/jobs.py b/src/distributed_execution/tightly_coupled/jobs.py new file mode 100644 index 0000000..b606fa6 --- /dev/null +++ b/src/distributed_execution/tightly_coupled/jobs.py @@ -0,0 +1,97 @@ +"""Tightly coupled reference implementations. + +Tightly coupled means the process doing the work *is* a Dagster process: it +imports the code location, connects to the metadata database and writes run +events directly. Every execution pod therefore needs network reachability to the +orchestration runtime dependencies. + +Three jobs are provided, differing only in their ``executor_def``. That single +construct is the code-level half of the execution-target binding; the other half +is the instance-level run launcher (see ``yaml/tightly-coupled/``). +""" + +from __future__ import annotations + +from dagster import graph, in_process_executor, multiprocess_executor +from dagster_k8s import k8s_job_executor + +from distributed_execution.ops import ( + generate_work_units, + process_work_units, + report_execution_target, + summarise_results, +) + +# Applied to run pods by the K8sRunLauncher; surfaces in the Dagster UI run tags. +COMMON_TAGS = { + "execution_target": "tightly_coupled", + "business_operation": "DISTRIBUTED_EXECUTION_REFERENCE", +} + +# Per-step pod shape. Only honoured by k8s_job_executor. +STEP_K8S_CONFIG = { + "container_config": { + "resources": { + "requests": {"cpu": "100m", "memory": "128Mi"}, + "limits": {"cpu": "500m", "memory": "512Mi"}, + }, + }, + "pod_spec_config": { + "restart_policy": "Never", + }, +} + + +@graph +def distributed_execution_reference(): + """Shared topology, so the three jobs differ only by execution target.""" + target_report = report_execution_target() + units = generate_work_units() + results = process_work_units(units) + return summarise_results(results, target_report) + + +# 1. Single process. Steps run inside the run worker itself - no fan-out at all. +tightly_coupled_in_process_job = distributed_execution_reference.to_job( + name="tightly_coupled_in_process_job", + description=( + "Tightly coupled, single-process. Steps execute inside the run worker. " + "Runs unchanged on a laptop and in Kubernetes." + ), + executor_def=in_process_executor, + tags={**COMMON_TAGS, "executor": "in_process"}, +) + +# 2. Subprocesses on the run worker. Fan-out bounded by that one pod's resources. +tightly_coupled_local_job = distributed_execution_reference.to_job( + name="tightly_coupled_local_job", + description=( + "Tightly coupled, multiprocess. Steps execute as subprocesses of the run worker; " + "concurrency is bounded by the run pod's CPU and memory limits." + ), + executor_def=multiprocess_executor.configured({"max_concurrent": 2}), + tags={**COMMON_TAGS, "executor": "multiprocess"}, +) + +# 3. One Kubernetes Job per step. Requires a cluster; each step pod connects to +# the metadata database on its own, which is what makes this tightly coupled. +tightly_coupled_k8s_job = distributed_execution_reference.to_job( + name="tightly_coupled_k8s_job", + description=( + "Tightly coupled, one Kubernetes Job per step. Each step pod must reach the metadata " + "database, object storage and Vault. Requires a cluster - not runnable locally." + ), + executor_def=k8s_job_executor.configured( + { + "image_pull_policy": "IfNotPresent", + "step_k8s_config": STEP_K8S_CONFIG, + } + ), + tags={**COMMON_TAGS, "executor": "k8s_job"}, +) + +TIGHTLY_COUPLED_JOBS = [ + tightly_coupled_in_process_job, + tightly_coupled_local_job, + tightly_coupled_k8s_job, +] diff --git a/tests/__init__.py b/tests/__init__.py new file mode 100644 index 0000000..16e8fe6 --- /dev/null +++ b/tests/__init__.py @@ -0,0 +1 @@ +"""Tests for the distributed-execution reference implementations.""" diff --git a/tests/test_loosely_coupled.py b/tests/test_loosely_coupled.py new file mode 100644 index 0000000..3699f57 --- /dev/null +++ b/tests/test_loosely_coupled.py @@ -0,0 +1,86 @@ +"""Verifies the loosely coupled pipes reference end to end via the subprocess transport.""" + +import pytest +from dagster import DagsterInvariantViolationError, Failure + +from distributed_execution.loosely_coupled.jobs import ( + LOOSELY_COUPLED_JOBS, + PAYLOAD_SCRIPT, + loosely_coupled_k8s_job, + loosely_coupled_subprocess_job, +) +from distributed_execution.repository import defs + + +def test_payload_script_exists(): + from pathlib import Path + + assert Path(PAYLOAD_SCRIPT).is_file() + + +def test_payload_does_not_import_dagster(): + from pathlib import Path + + source = Path(PAYLOAD_SCRIPT).read_text(encoding="utf-8") + assert "from dagster_pipes import" in source + assert "import dagster\n" not in source + assert "from dagster import" not in source + + +def test_both_transports_are_registered(): + names = {job.name for job in defs.jobs} + assert {"loosely_coupled_subprocess_job", "loosely_coupled_k8s_job"} <= names + assert len(LOOSELY_COUPLED_JOBS) == 2 + + +@pytest.mark.parametrize( + ("job", "transport"), + [ + (loosely_coupled_subprocess_job, "subprocess"), + (loosely_coupled_k8s_job, "k8s_pod_logs"), + ], +) +def test_jobs_declare_their_execution_target(job, transport): + assert job.tags["execution_target"] == "loosely_coupled" + assert job.tags["transport"] == transport + + +def test_subprocess_job_runs_end_to_end(): + result = loosely_coupled_subprocess_job.execute_in_process() + + assert result.success + summary = result.output_for_node("summarise_results") + # Same shape as the tightly coupled reference: only the middle node changed. + assert summary["units"] == 4 + assert summary["total"] == 14 + + +def test_payload_reports_no_orchestration_credentials(monkeypatch): + monkeypatch.delenv("DAGSTER_POSTGRES_HOST", raising=False) + monkeypatch.delenv("DAGSTER_POSTGRES_USER", raising=False) + monkeypatch.delenv("DAGSTER_POSTGRES_DB", raising=False) + + result = loosely_coupled_subprocess_job.execute_in_process() + results = result.output_for_node("dispatch_external_work_subprocess") + + assert len(results) == 4 + assert all(row["host"] for row in results) + + +def test_silent_message_path_is_treated_as_failure(): + from distributed_execution.loosely_coupled.jobs import _results_from_pipes + + class _Silent: + def get_custom_messages(self): + return [] + + class _Ctx: + class log: # noqa: N801 + @staticmethod + def warning(*_args, **_kwargs): ... + + @staticmethod + def info(*_args, **_kwargs): ... + + with pytest.raises(Failure, match="No pipes messages received"): + _results_from_pipes(_Ctx(), _Silent()) diff --git a/tests/test_tightly_coupled.py b/tests/test_tightly_coupled.py new file mode 100644 index 0000000..9bfbf86 --- /dev/null +++ b/tests/test_tightly_coupled.py @@ -0,0 +1,59 @@ +"""Verifies that execution-target linkage is what the guide claims it is.""" + +import pytest + +from distributed_execution.preflight import check_env_vars, describe_pod_identity +from distributed_execution.repository import defs +from distributed_execution.tightly_coupled.jobs import ( + tightly_coupled_in_process_job, + tightly_coupled_k8s_job, + tightly_coupled_local_job, +) + +EXPECTED_JOBS = { + "tightly_coupled_in_process_job", + "tightly_coupled_local_job", + "tightly_coupled_k8s_job", +} + + +def test_repository_registers_tightly_coupled_jobs(): + names = {job.name for job in defs.jobs} + assert EXPECTED_JOBS <= names + + +@pytest.mark.parametrize( + ("job", "expected_executor"), + [ + (tightly_coupled_in_process_job, "in_process"), + (tightly_coupled_local_job, "multiprocess"), + (tightly_coupled_k8s_job, "k8s_job"), + ], +) +def test_each_job_declares_its_execution_target(job, expected_executor): + assert job.tags["execution_target"] == "tightly_coupled" + assert job.tags["executor"] == expected_executor + + +def test_in_process_job_runs_end_to_end(): + result = tightly_coupled_in_process_job.execute_in_process() + + assert result.success + summary = result.output_for_node("summarise_results") + assert summary["units"] == 4 + assert summary["total"] == 14 # 0 + 1 + 4 + 9 + # In-process execution never fans out beyond the run worker. + assert len(summary["contributing_hosts"]) == 1 + + +def test_env_var_check_reports_missing_names(): + result = check_env_vars(("DEFINITELY_NOT_SET_12345",)) + + assert result["passed"] is False + assert result["missing"] == ["DEFINITELY_NOT_SET_12345"] + + +def test_pod_identity_falls_back_outside_kubernetes(monkeypatch): + monkeypatch.delenv("DAGSTER_K8S_PIPELINE_RUN_NAMESPACE", raising=False) + + assert describe_pod_identity()["namespace"] == "" diff --git a/uv.lock b/uv.lock new file mode 100644 index 0000000..588422d --- /dev/null +++ b/uv.lock @@ -0,0 +1,2444 @@ +version = 1 +revision = 3 +requires-python = ">=3.12" +resolution-markers = [ + "python_full_version >= '3.14'", + "python_full_version == '3.13.*'", + "python_full_version < '3.13'", +] + +[[package]] +name = "aiohappyeyeballs" +version = "2.7.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = 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upload-time = "2026-07-20T02:07:41.55Z" }, + { url = "https://files.pythonhosted.org/packages/61/02/962c1cbfc401a30c1d034dc67ff395f64b52302c6d62de556c1fca99acc0/yarl-1.24.5-py3-none-any.whl", hash = "sha256:a33700d13d9b7d84fd10947b09ff69fb9a792e519c8cb9764a3ca70baa6c23a7", size = 58612, upload-time = "2026-07-20T02:07:43.461Z" }, +] diff --git a/workspace.yaml b/workspace.yaml new file mode 100644 index 0000000..1f0498d --- /dev/null +++ b/workspace.yaml @@ -0,0 +1,3 @@ +load_from: + - python_file: + relative_path: src/distributed_execution/repository.py diff --git a/yaml/loosely-coupled/rbac-pipes-dispatch.yaml b/yaml/loosely-coupled/rbac-pipes-dispatch.yaml new file mode 100644 index 0000000..ff065f2 --- /dev/null +++ b/yaml/loosely-coupled/rbac-pipes-dispatch.yaml @@ -0,0 +1,41 @@ +# Kubernetes RBAC for the loosely coupled execution target. +# +# Granted to the service account running the Dagster RUN pods - the pod that +# calls PipesK8sClient.run() is the one that creates and watches the payload Job. +# +# Note what is NOT here: the payload itself needs no RBAC, no database +# credentials and no Vault role. Its only channel back to the control plane is +# the pod log stream, which the dispatching pod reads. +# +# If the payload runs in a different namespace from the dispatcher, apply this +# Role in the PAYLOAD namespace and keep the RoleBinding subject pointing at the +# dispatcher's service account. + +apiVersion: rbac.authorization.k8s.io/v1 +kind: Role +metadata: + name: distributed-execution-pipes-dispatcher + namespace: dagster +rules: + - apiGroups: ["batch"] + resources: ["jobs", "jobs/status"] + verbs: ["create", "get", "list", "watch", "delete"] + # pods/log is the message channel for PipesK8sPodLogsMessageReader. + # Without it the payload runs but reports nothing. + - apiGroups: [""] + resources: ["pods", "pods/log", "pods/status"] + verbs: ["get", "list", "watch"] +--- +apiVersion: rbac.authorization.k8s.io/v1 +kind: RoleBinding +metadata: + name: distributed-execution-pipes-dispatcher + namespace: dagster +subjects: + - kind: ServiceAccount + name: dagster-dev + namespace: dagster +roleRef: + kind: Role + name: distributed-execution-pipes-dispatcher + apiGroup: rbac.authorization.k8s.io diff --git a/yaml/loosely-coupled/values-pipes-payload.yaml b/yaml/loosely-coupled/values-pipes-payload.yaml new file mode 100644 index 0000000..98f93cd --- /dev/null +++ b/yaml/loosely-coupled/values-pipes-payload.yaml @@ -0,0 +1,32 @@ +# Loosely coupled execution target - code location overrides. +# +# Merge into the dagster-user-deployments entry for this code location. These +# values point the pipes client at the payload image and target namespace. +# +# Contrast with yaml/tightly-coupled/values-run-launcher.yaml: there, every +# execution pod needed S3 and Vault credentials. Here the payload needs none - +# only the dispatching pod does. + +dagster: + dagster-user-deployments: + deployments: + - name: distributed-execution + envSecrets: [] + env: + - name: PIPES_PAYLOAD_IMAGE + value: code.europa.eu:4567/simpl/simpl-open/data/supporting-data-services/distributed-execution/payload:0.1.0 + - name: PIPES_PAYLOAD_NAMESPACE + value: dagster + + # The dispatching RUN pod creates the payload Job, so the image reference and + # namespace must also be visible to run pods, not just the code server. + runLauncher: + config: + k8sRunLauncher: + runK8sConfig: + containerConfig: + env: + - name: PIPES_PAYLOAD_IMAGE + value: code.europa.eu:4567/simpl/simpl-open/data/supporting-data-services/distributed-execution/payload:0.1.0 + - name: PIPES_PAYLOAD_NAMESPACE + value: dagster diff --git a/yaml/tightly-coupled/rbac-step-executor.yaml b/yaml/tightly-coupled/rbac-step-executor.yaml new file mode 100644 index 0000000..4e5b6ec --- /dev/null +++ b/yaml/tightly-coupled/rbac-step-executor.yaml @@ -0,0 +1,34 @@ +# Kubernetes RBAC required by the k8s_job_executor. +# +# The in_process and multiprocess executors need NONE of this - the run worker +# does all the work itself. Only tightly_coupled_k8s_job, which creates one +# Kubernetes Job per step, needs permission to manage Jobs and read their pods. +# +# Bind to the service account used by the Dagster run pods (dagster.serviceAccount.name). + +apiVersion: rbac.authorization.k8s.io/v1 +kind: Role +metadata: + name: distributed-execution-step-runner + namespace: dagster +rules: + - apiGroups: ["batch"] + resources: ["jobs", "jobs/status"] + verbs: ["create", "get", "list", "watch", "delete"] + - apiGroups: [""] + resources: ["pods", "pods/log", "pods/status"] + verbs: ["get", "list", "watch"] +--- +apiVersion: rbac.authorization.k8s.io/v1 +kind: RoleBinding +metadata: + name: distributed-execution-step-runner + namespace: dagster +subjects: + - kind: ServiceAccount + name: dagster-dev + namespace: dagster +roleRef: + kind: Role + name: distributed-execution-step-runner + apiGroup: rbac.authorization.k8s.io diff --git a/yaml/tightly-coupled/values-run-launcher.yaml b/yaml/tightly-coupled/values-run-launcher.yaml new file mode 100644 index 0000000..fc230d7 --- /dev/null +++ b/yaml/tightly-coupled/values-run-launcher.yaml @@ -0,0 +1,54 @@ +# Tightly coupled execution target - instance-level run launcher. +# +# Merge into the Dagster chart values. This is the half of the execution-target +# binding that lives OUTSIDE workflow code: it decides where the run worker for +# an entire run is placed, and what that pod can reach. +# +# Companion to src/distributed_execution/tightly_coupled/jobs.py, which decides +# how the steps INSIDE that run worker execute. + +dagster: + runLauncher: + type: K8sRunLauncher + config: + k8sRunLauncher: + # Namespace the run pods land in. Must be a namespace whose NetworkPolicy + # permits egress to Postgres, object storage and Vault - see AC1 + # prerequisites in the user guide. + jobNamespace: dagster + + # Surfaces step failures as pod failures so kubectl and Dagster agree. + failPodOnRunFailure: true + + runK8sConfig: + podTemplateSpecMetadata: + annotations: + vault.security.banzaicloud.io/vault-inject: "true" + vault.security.banzaicloud.io/vault-addr: https://secrets.common01.dev.simpl-europe.eu + vault.security.banzaicloud.io/vault-role: dev-role + vault.security.banzaicloud.io/vault-skip-verify: "true" + vault.security.banzaicloud.io/vault-path: kubernetes + + containerConfig: + resources: + requests: + cpu: 100m + memory: 128Mi + limits: + cpu: 500m + memory: 512Mi + + # Everything below is what "tightly coupled" costs you: each run pod + # needs credentials for, and network reachability to, the full + # orchestration runtime. A loosely coupled target needs none of it. + env: + - name: DAGSTER_TELEMETRY_ENABLED + value: "false" + - name: TOKEN + value: "vault:dev/data/dagster/dagster-workflow-vault-secret#VAULT_ACCESS_TOKEN" + - name: S3_ENDPOINT_URL + value: "https://s3.dev.simpl-europe.eu" + - name: S3_ACCESS_KEY + value: "vault:dev/data/dev-orchestration-platform#S3_ACCESS_KEY" + - name: S3_SECRET_KEY + value: "vault:dev/data/dev-orchestration-platform#S3_SECRET_KEY" diff --git a/yaml/values-dagster-distributed-execution.yaml b/yaml/values-dagster-distributed-execution.yaml new file mode 100644 index 0000000..370e24b --- /dev/null +++ b/yaml/values-dagster-distributed-execution.yaml @@ -0,0 +1,54 @@ +dagster: + # =========================================================================== + # CODE LOCATION - distributed-execution + # =========================================================================== + # Deploys this repository as a Dagster code location so the reference jobs + # appear in the UI alongside production workflows. + # MANAGED BY GITLAB CI/CD - DO NOT CHANGE MANUALLY + dagster-user-deployments: + deployments: + - name: distributed-execution + location_name: distributed-execution + enabled: true + enableSubchart: true + + codeServerArgs: + - "--host" + - "0.0.0.0" + - "--port" + - "4000" + - "--python-file" + - "src/distributed_execution/repository.py" + + envFrom: + - secretRef: + name: distributed-execution-dagster-db-secret + - configMapRef: + name: distributed-execution-dagster-db-config + + image: + pullPolicy: IfNotPresent + repository: code.europa.eu:4567/simpl/simpl-open/data/supporting-data-services/distributed-execution + tag: 0.0.0 # DO NOT CHANGE - replaced automatically by the pipeline before releasing + + port: 4000 + + resources: + requests: + cpu: 100m + memory: 256Mi + limits: + cpu: 500m + memory: 512Mi + + livenessProbe: + enabled: true + periodSeconds: 30 + timeoutSeconds: 5 + failureThreshold: 3 + + readinessProbe: + enabled: true + periodSeconds: 10 + timeoutSeconds: 3 + failureThreshold: 3 From ccc2e94c2ab7f46cc068123de7ab5210dc242f24 Mon Sep 17 00:00:00 2001 From: ILay Date: Wed, 26 Aug 2026 18:50:01 +0200 Subject: [PATCH 2/8] [SIMPL-30451] Fan out work units so the execution target is observable The reference graph processed every work unit inside a single op, so exactly one worker was ever reported regardless of executor. That made the guide's claim that k8s_job_executor yields several distinct contributing_hosts false, and left the reference implementations unable to demonstrate the executor choice at all. generate_work_units is now a DynamicOut and both graphs map over it, so one step is created per unit and the loosely coupled pattern dispatches one external workload per unit. Evidence is split into contributing_workers (host and pid, differs per process) and contributing_hosts (differs only across machines), because the previous single field could not distinguish multiprocess fan-out from no fan-out. Tests now assert the mapped step keys rather than a host count, since execute_in_process ignores executor_def and cannot prove executor behaviour on its own. Adds a Windows note: multiprocess_executor did not complete during authoring and left orphaned processes. Changelog: fixed --- .gitignore | 2 + README.md | 10 ++-- .../user-guide/distributed-execution-guide.md | 45 ++++++++++++---- documents/user-guide/readiness-checklist.md | 15 +++--- payload/work.py | 10 ++-- .../loosely_coupled/jobs.py | 52 ++++++++++++------- src/distributed_execution/ops.py | 39 +++++++++----- src/distributed_execution/preflight.py | 5 +- .../tightly_coupled/jobs.py | 4 +- tests/test_loosely_coupled.py | 19 +++++-- tests/test_tightly_coupled.py | 12 ++++- 11 files changed, 148 insertions(+), 65 deletions(-) diff --git a/.gitignore b/.gitignore index 1ba4784..d287118 100644 --- a/.gitignore +++ b/.gitignore @@ -3,3 +3,5 @@ .venv/ .pytest_cache/ .coverage + +.tmp_dagster_home_*/ diff --git a/README.md b/README.md index 4e4167f..55e2cb6 100644 --- a/README.md +++ b/README.md @@ -53,9 +53,13 @@ uv run dagster dev -f src/distributed_execution/repository.py ``` The Dagster UI is then available at . Two jobs run end to -end on a laptop with no cluster: `tightly_coupled_local_job` and -`loosely_coupled_subprocess_job`. The Kubernetes variants of each are documented -in the user guide. +end on a laptop with no cluster: `tightly_coupled_in_process_job` and +`loosely_coupled_subprocess_job`. The Kubernetes variants of each require a +cluster and are documented in the user guide. + +> `tightly_coupled_local_job` uses `multiprocess_executor`. It did not complete on +> a Windows development machine during authoring — see the Windows note in the +> user guide's section 5.5. ### Running tests diff --git a/documents/user-guide/distributed-execution-guide.md b/documents/user-guide/distributed-execution-guide.md index 6d98c5a..f51c13a 100644 --- a/documents/user-guide/distributed-execution-guide.md +++ b/documents/user-guide/distributed-execution-guide.md @@ -250,8 +250,20 @@ operationally: [yaml/tightly-coupled/rbac-step-executor.yaml](../../yaml/tightly-coupled/rbac-step-executor.yaml). - Per-step resource requests apply per pod, so the aggregate request for a fan-out step is the per-step request multiplied by concurrency. -- `summarise_results` now reports several distinct `contributing_hosts` instead of - one. That output metadata is the evidence that the switch actually took effect. + +The evidence that the switch took effect is in `summarise_results` output +metadata, and the two fields say different things: + +| Executor | `contributing_workers` | `contributing_hosts` | +|---|---|---| +| `in_process_executor` | 1 | 1 | +| `multiprocess_executor` | one per unit | 1 — same machine | +| `k8s_job_executor` | one per unit | one per unit — separate pods | + +This only works because `generate_work_units` is a `DynamicOut` and the graph +does `units.map(process_work_unit).collect()`. A single op looping over all units +internally would report one worker under *every* executor, because one step +cannot span processes or pods. ### 5.3 Worked example — switching to loosely coupled @@ -266,7 +278,7 @@ written, so the diff below is the real one. def distributed_execution_reference(): target_report = report_execution_target() units = generate_work_units() - results = process_work_units(units) # runs in-process + results = units.map(process_work_unit).collect() # runs in Dagster return summarise_results(results, target_report) ``` @@ -277,27 +289,27 @@ def distributed_execution_reference(): def loosely_coupled_k8s_reference(): target_report = report_execution_target() units = generate_work_units() - results = dispatch_external_work_k8s(units) # dispatches, then listens + results = units.map(dispatch_external_work_k8s).collect() # dispatches, then listens return summarise_results(results, target_report) ``` The dispatching op replaces direct computation with a pipes client call: ```python -@op(out=Out(list)) +@op(out=Out(dict)) def dispatch_external_work_k8s( context: OpExecutionContext, - units: list, + unit: int, pipes_k8s_client: PipesK8sClient, -) -> list: +) -> dict: completed = pipes_k8s_client.run( context=context, image=PAYLOAD_IMAGE, command=["python", "/app/work.py"], namespace=PAYLOAD_NAMESPACE, - extras={"units": units}, + extras={"units": [unit]}, ) - return _results_from_pipes(context, completed) + return _result_from_pipes(context, completed) ``` and the job supplies the client as a resource instead of an executor: @@ -343,6 +355,11 @@ else from the Dagster ecosystem — a test asserts this, because the moment the payload imports `dagster` the isolation argument for choosing this pattern collapses. +Because the graph maps over the dynamic output, one external workload is +dispatched **per unit**. A test asserts that the four units come back from four +distinct external workers, which is the loosely coupled equivalent of the +`contributing_workers` evidence in section 5.2. + #### Message channel choice `PipesK8sClient` defaults to `PipesK8sPodLogsMessageReader`, which is what the @@ -383,7 +400,7 @@ Those take effect only when a new image is built and the code location reloads. | Job | Executor / transport | Runs locally | Demonstrates | |---|---|---|---| | `tightly_coupled_in_process_job` | `in_process_executor` | Yes | Baseline; steps inside the run worker | -| `tightly_coupled_local_job` | `multiprocess_executor` | Yes | Subprocess fan-out bounded by the run pod | +| `tightly_coupled_local_job` | `multiprocess_executor` | Linux/macOS | Subprocess fan-out bounded by the run pod | | `tightly_coupled_k8s_job` | `k8s_job_executor` | No — needs a cluster | One Kubernetes Job per step | | `loosely_coupled_subprocess_job` | `PipesSubprocessClient` | Yes | The pipes contract end to end, no cluster | | `loosely_coupled_k8s_job` | `PipesK8sClient` | No — needs a cluster | External Job dispatch, messages over pod logs | @@ -392,6 +409,14 @@ The last two dispatch the same [payload/work.py](../../payload/work.py). The subprocess variant exists so the pipes contract can be exercised, tested and demonstrated without any infrastructure. +> **Windows note.** `tightly_coupled_local_job` did not complete on a Windows +> development machine during authoring: the `multiprocess_executor` spawned step +> subprocesses that never terminated, and required manual cleanup. This was not +> reproduced on Linux and is not expected to affect cluster deployments, where +> run workers are Linux pods. For a laptop demonstration on Windows, prefer +> `tightly_coupled_in_process_job` or `loosely_coupled_subprocess_job`, both of +> which are covered by the test suite. + Run the local variants with: ```bash diff --git a/documents/user-guide/readiness-checklist.md b/documents/user-guide/readiness-checklist.md index 447fbdb..7681b2c 100644 --- a/documents/user-guide/readiness-checklist.md +++ b/documents/user-guide/readiness-checklist.md @@ -9,8 +9,8 @@ location image. > **NOT CLUSTER-VERIFIED.** Checks L4–L9 and the Kubernetes rows of section 4.3 > are derived from the implemented reference but have not yet been run against a -> Simpl cluster. Checks L1–L3, which exercise the payload contract and the -> message-parsing path, are covered by the test suite. +> Simpl cluster. Checks L1–L3 and L10, which exercise the payload contract, the +> message-parsing path and per-unit dispatch, are covered by the test suite. --- @@ -32,9 +32,9 @@ location image. | T1 | Run pod reaches the metadata database | Launch `tightly_coupled_in_process_job` | Run reaches `SUCCESS`; `report_execution_target` output metadata lists `DAGSTER_POSTGRES_HOST`, `DAGSTER_POSTGRES_USER` and `DAGSTER_POSTGRES_DB` under `env_vars_present`, and `env_vars_missing` is empty | | T2 | Vault injection works | Same run; inspect the run pod | `kubectl -n dagster describe pod ` shows the `vault-env` init container completed; no `vault:` literal remains in the process environment | | T3 | Object storage is reachable | Same run, if the workflow uses S3 | No `EndpointConnectionError` in run logs; `S3_ENDPOINT_URL` present in `env_vars_present` | -| T4 | Multiprocess fan-out is bounded correctly | Launch `tightly_coupled_local_job` | Run succeeds; `summarise_results` metadata shows exactly one entry in `contributing_hosts`, confirming steps stayed on the run worker | +| T4 | Multiprocess fan-out actually fans out | Launch `tightly_coupled_local_job` | Run succeeds; `summarise_results` metadata shows one entry per unit in `contributing_workers` and a single entry in `contributing_hosts` — separate processes, same machine | | T5 | RBAC permits step Jobs | `kubectl -n dagster auth can-i create jobs --as=system:serviceaccount:dagster:dagster-dev` | Returns `yes`; required only for `k8s_job_executor` | -| T6 | Step pods are actually created | Launch `tightly_coupled_k8s_job`, then `kubectl -n dagster get jobs -l dagster/run-id=` | One Job per step; `summarise_results` metadata shows **several** distinct `contributing_hosts` | +| T6 | Step pods are actually created | Launch `tightly_coupled_k8s_job`, then `kubectl -n dagster get jobs -l dagster/run-id=` | One Job per mapped unit; `contributing_hosts` now shows one entry **per unit**, not one | | T7 | Step pod egress is permitted | Same run | Steps do not hang in `STARTING`; run logs contain no connection timeouts to port 5432 | | T8 | Failure surfaces as a pod failure | Force a step failure in a scratch namespace | `failPodOnRunFailure: true` is set, and the step pod reports `Failed` rather than `Completed` | @@ -50,10 +50,11 @@ location image. | L6 | Dispatcher can read pod logs — **the message channel** | `kubectl -n auth can-i get pods/log --as=system:serviceaccount:dagster:dagster-dev` | Returns `yes`. A `no` here breaks reporting *without* failing the workload | | L7 | Payload Job is actually created | Launch `loosely_coupled_k8s_job`, then `kubectl -n get jobs -l app.kubernetes.io/name=distributed-execution-payload` | One Job per dispatch, labelled `dagster/execution-target=loosely-coupled` | | L8 | Payload has **no** orchestration connectivity | Same run; inspect run logs | No `Payload could see orchestration runtime credentials` warning. This is a positive check — absence of errors is not sufficient | -| L9 | Work ran off-platform | Same run | `summarise_results` metadata shows `contributing_hosts` containing the payload pod name, not the run worker's hostname | +| L9 | Work ran off-platform | Same run | `summarise_results` metadata shows `contributing_hosts` containing the payload pod names, not the run worker's hostname | +| L10 | One workload dispatched per unit | Same run, or `uv run pytest -k dispatched_to_its_own` locally | `contributing_workers` has one entry per unit; the local test asserts four distinct external workers | -Checks L4–L9 require a cluster. L1–L3 run on a laptop and should gate every -change to the payload or the dispatching op. +Checks L4–L9 require a cluster. L1–L3 and L10 run on a laptop and should gate +every change to the payload or the dispatching op. --- diff --git a/payload/work.py b/payload/work.py index 01ce542..a662a5e 100644 --- a/payload/work.py +++ b/payload/work.py @@ -27,10 +27,13 @@ def main() -> None: with open_dagster_pipes() as pipes: units = pipes.get_extra("units") host = socket.gethostname() + worker = f"{host}#{os.getpid()}" - pipes.log.info(f"External payload started on {host} with {len(units)} work units") + pipes.log.info(f"External payload started on {worker} with {len(units)} work units") - results = [{"unit": unit, "squared": unit * unit, "host": host} for unit in units] + results = [ + {"unit": unit, "squared": unit * unit, "host": host, "worker": worker} for unit in units + ] leaked = [name for name in ORCHESTRATION_ENV_VARS if os.environ.get(name)] if leaked: @@ -44,11 +47,12 @@ def main() -> None: { "results": results, "host": host, + "worker": worker, "orchestration_env_visible": leaked, } ) - pipes.log.info(f"External payload finished on {host}") + pipes.log.info(f"External payload finished on {worker}") if __name__ == "__main__": diff --git a/src/distributed_execution/loosely_coupled/jobs.py b/src/distributed_execution/loosely_coupled/jobs.py index b525bf7..ac1687a 100644 --- a/src/distributed_execution/loosely_coupled/jobs.py +++ b/src/distributed_execution/loosely_coupled/jobs.py @@ -14,7 +14,16 @@ import os import sys from pathlib import Path -from dagster import Failure, OpExecutionContext, Out, PipesSubprocessClient, graph, op +from dagster import ( + Failure, + OpExecutionContext, + Out, + PipesSubprocessClient, + graph, + in_process_executor, + multiprocess_executor, + op, +) from dagster_k8s import PipesK8sClient from distributed_execution.ops import ( @@ -39,8 +48,8 @@ COMMON_TAGS = { } -def _results_from_pipes(context: OpExecutionContext, completed) -> list: - """Read the payload's results off the message channel. +def _result_from_pipes(context: OpExecutionContext, completed) -> dict: + """Read one unit's result off the message channel. A broken message path is the defining failure mode of this pattern: the external workload can exit 0 while reporting nothing, so silence is treated @@ -66,42 +75,43 @@ def _results_from_pipes(context: OpExecutionContext, completed) -> list: ", ".join(leaked), ) - context.log.info("Received %s results from external host %s", len(payload["results"]), payload["host"]) - return payload["results"] + row = payload["results"][0] + context.log.info("Unit %s computed by external worker %s", row["unit"], row["worker"]) + return row @op( - description="Dispatches the external payload as a local subprocess and listens on the pipes channel.", - out=Out(list), + description="Dispatches one external payload as a local subprocess and listens on the pipes channel.", + out=Out(dict), ) def dispatch_external_work_subprocess( context: OpExecutionContext, - units: list, + unit: int, pipes_subprocess_client: PipesSubprocessClient, -) -> list: +) -> dict: completed = pipes_subprocess_client.run( context=context, command=[sys.executable, PAYLOAD_SCRIPT], - extras={"units": units}, + extras={"units": [unit]}, ) - return _results_from_pipes(context, completed) + return _result_from_pipes(context, completed) @op( - description="Dispatches the external payload as a Kubernetes Job and listens on the pod log stream.", - out=Out(list), + description="Dispatches one external payload as a Kubernetes Job and listens on the pod log stream.", + out=Out(dict), ) def dispatch_external_work_k8s( context: OpExecutionContext, - units: list, + unit: int, pipes_k8s_client: PipesK8sClient, -) -> list: +) -> dict: completed = pipes_k8s_client.run( context=context, image=PAYLOAD_IMAGE, command=["python", "/app/work.py"], namespace=PAYLOAD_NAMESPACE, - extras={"units": units}, + extras={"units": [unit]}, base_pod_meta={ "labels": { "app.kubernetes.io/name": "distributed-execution-payload", @@ -109,14 +119,14 @@ def dispatch_external_work_k8s( } }, ) - return _results_from_pipes(context, completed) + return _result_from_pipes(context, completed) @graph def loosely_coupled_subprocess_reference(): target_report = report_execution_target() units = generate_work_units() - results = dispatch_external_work_subprocess(units) + results = units.map(dispatch_external_work_subprocess).collect() return summarise_results(results, target_report) @@ -124,7 +134,7 @@ def loosely_coupled_subprocess_reference(): def loosely_coupled_k8s_reference(): target_report = report_execution_target() units = generate_work_units() - results = dispatch_external_work_k8s(units) + results = units.map(dispatch_external_work_k8s).collect() return summarise_results(results, target_report) @@ -134,6 +144,9 @@ loosely_coupled_subprocess_job = loosely_coupled_subprocess_reference.to_job( "Loosely coupled via subprocess transport. Demonstrates the pipes contract end to end " "on a laptop, with no cluster and no metadata database access from the payload." ), + # Dispatch is I/O-bound and the real work happens in the payload, so orchestrating + # in one process keeps the laptop demo free of platform-specific spawn behaviour. + executor_def=in_process_executor, resource_defs={"pipes_subprocess_client": PipesSubprocessClient()}, tags={**COMMON_TAGS, "transport": "subprocess"}, ) @@ -144,6 +157,7 @@ loosely_coupled_k8s_job = loosely_coupled_k8s_reference.to_job( "Loosely coupled via Kubernetes Job dispatch. Messages return over the pod log stream. " "Requires a cluster and RBAC to create Jobs in the target namespace." ), + executor_def=multiprocess_executor.configured({"max_concurrent": 2}), resource_defs={"pipes_k8s_client": PipesK8sClient()}, tags={**COMMON_TAGS, "transport": "k8s_pod_logs"}, ) diff --git a/src/distributed_execution/ops.py b/src/distributed_execution/ops.py index 47a5920..cc7283d 100644 --- a/src/distributed_execution/ops.py +++ b/src/distributed_execution/ops.py @@ -6,7 +6,7 @@ happens and *how* that fact reaches the control plane. # No `from __future__ import annotations`: it stringifies the `context` hint and # Dagster's op context validation then rejects it. -from dagster import Config, MetadataValue, OpExecutionContext, Out, op +from dagster import Config, DynamicOut, DynamicOutput, MetadataValue, OpExecutionContext, Out, op from distributed_execution.preflight import ( TIGHTLY_COUPLED_ENV_VARS, @@ -48,34 +48,47 @@ def report_execution_target(context: OpExecutionContext) -> dict: return {"identity": identity, "env_check": env_check} -@op(description="Produces the work units that later steps fan out over.", out=Out(list)) -def generate_work_units(context: OpExecutionContext, config: WorkUnitsConfig) -> list[int]: - units = list(range(config.count)) - context.log.info("Generated %s work units", len(units)) - return units +@op( + description="Fans out one dynamic output per work unit, so each unit becomes its own step.", + out=DynamicOut(int), +) +def generate_work_units(context: OpExecutionContext, config: WorkUnitsConfig): + context.log.info("Fanning out %s work units", config.count) + for unit in range(config.count): + yield DynamicOutput(unit, mapping_key=f"unit_{unit}") -@op(description="Performs one unit of work per element; runs once per step-execution slot.", out=Out(list)) -def process_work_units(context: OpExecutionContext, units: list[int]) -> list[dict]: +@op( + description="Performs one unit of work. One step per unit, so one process or pod per unit.", + out=Out(dict), +) +def process_work_unit(context: OpExecutionContext, unit: int) -> dict: identity = describe_pod_identity() - results = [{"unit": unit, "squared": unit * unit, "host": identity["hostname"]} for unit in units] - context.log.info("Processed %s units on %s", len(results), identity["hostname"]) - return results + context.log.info("Processing unit %s on %s", unit, identity["worker"]) + return { + "unit": unit, + "squared": unit * unit, + "host": identity["hostname"], + "worker": identity["worker"], + } -@op(description="Aggregates results and attaches the distinct hosts that contributed.") -def summarise_results(context: OpExecutionContext, results: list[dict], target_report: dict) -> dict: +@op(description="Aggregates results and records which workers actually contributed.") +def summarise_results(context: OpExecutionContext, results: list, target_report: dict) -> dict: hosts = sorted({row["host"] for row in results}) + workers = sorted({row["worker"] for row in results}) summary = { "units": len(results), "total": sum(row["squared"] for row in results), "contributing_hosts": hosts, + "contributing_workers": workers, "launcher_namespace": target_report["identity"]["namespace"], } context.add_output_metadata( { "units": MetadataValue.int(summary["units"]), "contributing_hosts": MetadataValue.json(hosts), + "contributing_workers": MetadataValue.json(workers), "launcher_namespace": MetadataValue.text(summary["launcher_namespace"]), } ) diff --git a/src/distributed_execution/preflight.py b/src/distributed_execution/preflight.py index f8c3031..295880c 100644 --- a/src/distributed_execution/preflight.py +++ b/src/distributed_execution/preflight.py @@ -52,9 +52,12 @@ def check_endpoint_reachable(url: str, timeout: float = 3.0) -> dict: def describe_pod_identity() -> dict: """Where this process is actually running - the primary execution-target evidence.""" + hostname = socket.gethostname() return { - "hostname": socket.gethostname(), + "hostname": hostname, "pid": os.getpid(), + # Distinguishes processes on one host, so multiprocess fan-out is visible locally. + "worker": f"{hostname}#{os.getpid()}", "namespace": os.environ.get("DAGSTER_K8S_PIPELINE_RUN_NAMESPACE", ""), "run_id": os.environ.get("DAGSTER_RUN_ID", ""), "image": os.environ.get("DAGSTER_K8S_PIPELINE_RUN_IMAGE", ""), diff --git a/src/distributed_execution/tightly_coupled/jobs.py b/src/distributed_execution/tightly_coupled/jobs.py index b606fa6..3b4abcf 100644 --- a/src/distributed_execution/tightly_coupled/jobs.py +++ b/src/distributed_execution/tightly_coupled/jobs.py @@ -17,7 +17,7 @@ from dagster_k8s import k8s_job_executor from distributed_execution.ops import ( generate_work_units, - process_work_units, + process_work_unit, report_execution_target, summarise_results, ) @@ -47,7 +47,7 @@ def distributed_execution_reference(): """Shared topology, so the three jobs differ only by execution target.""" target_report = report_execution_target() units = generate_work_units() - results = process_work_units(units) + results = units.map(process_work_unit).collect() return summarise_results(results, target_report) diff --git a/tests/test_loosely_coupled.py b/tests/test_loosely_coupled.py index 3699f57..77cba0d 100644 --- a/tests/test_loosely_coupled.py +++ b/tests/test_loosely_coupled.py @@ -55,20 +55,29 @@ def test_subprocess_job_runs_end_to_end(): assert summary["total"] == 14 +def test_each_unit_is_dispatched_to_its_own_external_worker(): + result = loosely_coupled_subprocess_job.execute_in_process() + + mapped = result.output_for_node("dispatch_external_work_subprocess") + assert set(mapped) == {"unit_0", "unit_1", "unit_2", "unit_3"} + # Each dispatch is its own OS process, so workers differ even on a single host. + assert len({row["worker"] for row in mapped.values()}) == 4 + + def test_payload_reports_no_orchestration_credentials(monkeypatch): monkeypatch.delenv("DAGSTER_POSTGRES_HOST", raising=False) monkeypatch.delenv("DAGSTER_POSTGRES_USER", raising=False) monkeypatch.delenv("DAGSTER_POSTGRES_DB", raising=False) result = loosely_coupled_subprocess_job.execute_in_process() - results = result.output_for_node("dispatch_external_work_subprocess") + mapped = result.output_for_node("dispatch_external_work_subprocess") - assert len(results) == 4 - assert all(row["host"] for row in results) + assert len(mapped) == 4 + assert all(row["worker"] for row in mapped.values()) def test_silent_message_path_is_treated_as_failure(): - from distributed_execution.loosely_coupled.jobs import _results_from_pipes + from distributed_execution.loosely_coupled.jobs import _result_from_pipes class _Silent: def get_custom_messages(self): @@ -83,4 +92,4 @@ def test_silent_message_path_is_treated_as_failure(): def info(*_args, **_kwargs): ... with pytest.raises(Failure, match="No pipes messages received"): - _results_from_pipes(_Ctx(), _Silent()) + _result_from_pipes(_Ctx(), _Silent()) diff --git a/tests/test_tightly_coupled.py b/tests/test_tightly_coupled.py index 9bfbf86..de03428 100644 --- a/tests/test_tightly_coupled.py +++ b/tests/test_tightly_coupled.py @@ -42,8 +42,16 @@ def test_in_process_job_runs_end_to_end(): summary = result.output_for_node("summarise_results") assert summary["units"] == 4 assert summary["total"] == 14 # 0 + 1 + 4 + 9 - # In-process execution never fans out beyond the run worker. - assert len(summary["contributing_hosts"]) == 1 + # In-process execution keeps every step in the run worker's own process. + assert len(summary["contributing_workers"]) == 1 + + +def test_work_units_fan_out_into_one_step_each(): + result = tightly_coupled_in_process_job.execute_in_process() + + mapped = result.output_for_node("process_work_unit") + # Without this the executor choice would be meaningless: one step cannot span pods. + assert set(mapped) == {"unit_0", "unit_1", "unit_2", "unit_3"} def test_env_var_check_reports_missing_names(): From 1ce332fa1baf8be45c8fa74901108696e3153c91 Mon Sep 17 00:00:00 2001 From: ILay Date: Wed, 26 Aug 2026 19:21:41 +0200 Subject: [PATCH 3/8] [SIMPL-30451] Correct stale references in the guide and verify both images build The rename of process_work_units and _results_from_pipes during the fan-out refactor left three references behind, in the guide, the checklist and the loosely coupled module docstring. The guide also showed loosely_coupled_k8s_job without its executor_def and claimed the pipes client replaced the executor, which stopped being true once the graph fanned out. Both images were built and smoke tested: the code location image loads its definitions, and the payload image ships dagster_pipes without dagster. That check is now recorded as L11 in the readiness checklist, so the isolation argument is verified at image level and not only in the source. Changelog: fixed --- README.md | 4 ++++ .../user-guide/distributed-execution-guide.md | 13 ++++++++++--- documents/user-guide/readiness-checklist.md | 17 ++++++++++------- .../loosely_coupled/jobs.py | 2 +- 4 files changed, 25 insertions(+), 11 deletions(-) diff --git a/README.md b/README.md index 55e2cb6..30e4103 100644 --- a/README.md +++ b/README.md @@ -77,6 +77,10 @@ docker build -t distributed-execution:0.1.0 . docker build -f payload/Dockerfile -t distributed-execution-payload:0.1.0 payload/ ``` +Both images build and have been smoke tested locally: the code location image +loads its definitions, and the payload image contains `dagster_pipes` without +`dagster` — check L11 in the readiness checklist. + ## Status Both execution targets are implemented. The tightly coupled jobs and the loosely diff --git a/documents/user-guide/distributed-execution-guide.md b/documents/user-guide/distributed-execution-guide.md index f51c13a..09ffefe 100644 --- a/documents/user-guide/distributed-execution-guide.md +++ b/documents/user-guide/distributed-execution-guide.md @@ -312,16 +312,22 @@ def dispatch_external_work_k8s( return _result_from_pipes(context, completed) ``` -and the job supplies the client as a resource instead of an executor: +and the job supplies the client as a resource: ```python loosely_coupled_k8s_job = loosely_coupled_k8s_reference.to_job( name="loosely_coupled_k8s_job", + executor_def=multiprocess_executor.configured({"max_concurrent": 2}), resource_defs={"pipes_k8s_client": PipesK8sClient()}, tags={**COMMON_TAGS, "transport": "k8s_pod_logs"}, ) ``` +The executor is still present, but its meaning has changed. It no longer decides +where the work runs — the payload image and `namespace` do that. It only bounds +how many dispatching ops wait on the message channel at once. The two decisions +that were fused in the tightly coupled setup are now independent. + #### What changes operationally | | Tightly coupled | Loosely coupled | @@ -366,7 +372,7 @@ distinct external workers, which is the loosely coupled equivalent of the reference uses. It needs no extra infrastructure, but it couples message delivery to the pod log stream — a log shipper that intercepts or truncates stdout will break reporting while the workload still exits 0. That is why -`_results_from_pipes` raises on an empty message list rather than returning an +`_result_from_pipes` raises on an empty message list rather than returning an empty result. If your cluster's logging setup makes that transport unreliable, switch to an object-storage message reader, which needs a bucket plus credentials on both sides. @@ -462,7 +468,8 @@ Tracked under SIMPL-30451. | Before-and-after example, switching to loosely coupled | AC4 | Complete | | Runnable tightly coupled reference implementations | AC4 | Complete | | Runnable loosely coupled reference implementation | AC4 | Complete (subprocess verified, K8s not cluster-run) | -| Payload image published to the registry | Tech details | **Pending** | +| Both images build; payload image passes the isolation check (L11) | Tech details | Complete | +| Payload image published to the container registry | Tech details | **Pending** — needs the CI build job | | End-to-end run of `loosely_coupled_k8s_job` on a cluster | Tech details | **Pending** | | Screenshots of UI surfaces | Tech details | **Pending** | | Platform architecture document update | Tech details | **Pending** | diff --git a/documents/user-guide/readiness-checklist.md b/documents/user-guide/readiness-checklist.md index 7681b2c..d6e5956 100644 --- a/documents/user-guide/readiness-checklist.md +++ b/documents/user-guide/readiness-checklist.md @@ -9,8 +9,9 @@ location image. > **NOT CLUSTER-VERIFIED.** Checks L4–L9 and the Kubernetes rows of section 4.3 > are derived from the implemented reference but have not yet been run against a -> Simpl cluster. Checks L1–L3 and L10, which exercise the payload contract, the -> message-parsing path and per-unit dispatch, are covered by the test suite. +> Simpl cluster. Checks L1–L3, L10 and L11, which exercise the payload contract, +> the message-parsing path, per-unit dispatch and image-level isolation, are +> verified locally. --- @@ -52,9 +53,10 @@ location image. | L8 | Payload has **no** orchestration connectivity | Same run; inspect run logs | No `Payload could see orchestration runtime credentials` warning. This is a positive check — absence of errors is not sufficient | | L9 | Work ran off-platform | Same run | `summarise_results` metadata shows `contributing_hosts` containing the payload pod names, not the run worker's hostname | | L10 | One workload dispatched per unit | Same run, or `uv run pytest -k dispatched_to_its_own` locally | `contributing_workers` has one entry per unit; the local test asserts four distinct external workers | +| L11 | Payload **image** carries no orchestration dependency | `docker run --rm python -c "import importlib.util; print(importlib.util.find_spec('dagster') is not None)"` | Prints `False`. L1 proves the *source* does not import `dagster`; this proves the shipped image does not contain it either | -Checks L4–L9 require a cluster. L1–L3 and L10 run on a laptop and should gate -every change to the payload or the dispatching op. +Checks L4–L9 require a cluster. L1–L3, L10 and L11 run on a laptop and should +gate every change to the payload or the dispatching op. --- @@ -90,7 +92,7 @@ every change to the payload or the dispatching op. | Op hangs until `pod_wait_timeout` (default 24 h) | Payload Job never scheduled — quota, node selector or image pull | Check `kubectl -n describe job `; lower `pod_wait_timeout` so the failure surfaces quickly | | `403 Forbidden` creating the Job | Dispatcher service account lacks Job create permission | Apply `yaml/loosely-coupled/rbac-pipes-dispatch.yaml` in the **payload** namespace | | Warning: `Payload could see orchestration runtime credentials` | Payload pod inherited run-pod env or a Vault annotation | Remove the inherited env; the payload should receive only what `extras` and explicit `env` pass it | -| Payload exits non-zero but the run reports success | Exit status not being checked, or messages read before failure | Confirm the dispatching op returns through `_results_from_pipes`; do not swallow `PipesClientCompletedInvocation` errors | +| Payload exits non-zero but the run reports success | Exit status not being checked, or messages read before failure | Confirm the dispatching op returns through `_result_from_pipes`; do not swallow `PipesClientCompletedInvocation` errors | | Payload receives no `units` | `extras` key mismatch between dispatcher and `pipes.get_extra()` | Both sides must use the same key; a typo yields a `KeyError` inside the payload | | Run cancelled in the UI, payload pod keeps running | Cancellation is not propagated to dispatched workloads automatically | `delete_pod_on_completion` handles the normal path; for cancellation, verify orphaned Jobs and add a cleanup sensor | @@ -108,8 +110,9 @@ change record: 1. The run ID and its final status. 2. The `report_execution_target` output metadata block (pod identity, namespace, env var presence). -3. The `summarise_results` metadata block (`contributing_hosts`), which proves - which execution target was actually used. +3. The `summarise_results` metadata block (`contributing_hosts` and + `contributing_workers`), which proves which execution target was actually + used and that the fan-out reached it. 4. For `k8s_job_executor`, the output of `kubectl get jobs -l dagster/run-id=`. 5. For the loosely coupled target, the payload image digest and the run log line emitted by `pipes.log` — together they prove which payload version ran and diff --git a/src/distributed_execution/loosely_coupled/jobs.py b/src/distributed_execution/loosely_coupled/jobs.py index ac1687a..1e9c760 100644 --- a/src/distributed_execution/loosely_coupled/jobs.py +++ b/src/distributed_execution/loosely_coupled/jobs.py @@ -6,7 +6,7 @@ dagster-pipes protocol, which Dagster materialises as logs and metadata. The payload never connects to the metadata database. Two transports are provided. Both dispatch the *same* payload script and produce -the same output shape as the tightly coupled ``process_work_units`` op, so the +the same output shape as the tightly coupled ``process_work_unit`` op, so the graphs differ by exactly one node - see the guide's section 5.3. """ From 7692891fffa53880b44ee6b3d2de0ee3b9714677 Mon Sep 17 00:00:00 2001 From: ILay Date: Wed, 26 Aug 2026 19:28:19 +0200 Subject: [PATCH 4/8] [SIMPL-30451] Record real run evidence for both locally runnable jobs Both jobs were launched from the Dagster UI, so the numbers in the new section 5.6 come from the daemon and run launcher path rather than from execute_in_process. The tightly coupled run reports one contributing worker across seven steps; the loosely coupled subprocess run reports four, which is the difference the two patterns are supposed to make visible. Hostnames are redacted, process IDs are not. Also ignores a local .dagster_home, which the README's dagster dev instructions will create for anyone who sets DAGSTER_HOME alongside the repo. Changelog: added --- .gitignore | 1 + .../user-guide/distributed-execution-guide.md | 53 +++++++++++++++++-- 2 files changed, 50 insertions(+), 4 deletions(-) diff --git a/.gitignore b/.gitignore index d287118..2c6029a 100644 --- a/.gitignore +++ b/.gitignore @@ -5,3 +5,4 @@ .coverage .tmp_dagster_home_*/ +.dagster_home/ diff --git a/documents/user-guide/distributed-execution-guide.md b/documents/user-guide/distributed-execution-guide.md index 09ffefe..89d264b 100644 --- a/documents/user-guide/distributed-execution-guide.md +++ b/documents/user-guide/distributed-execution-guide.md @@ -6,9 +6,10 @@ integration pattern for a Dagster workflow on the Simpl orchestration platform. > **Document status.** Both setups are backed by runnable reference > implementations in this repository. The tightly coupled setup and the loosely -> coupled **subprocess** transport are verified end to end. The loosely coupled -> **Kubernetes** transport is implemented and reviewed but has not yet been run -> against a cluster; statements specific to it are marked +> coupled **subprocess** transport are verified end to end, including runs +> launched from the Dagster UI — see [section 5.6](#56-what-a-verified-run-actually-produced). +> The loosely coupled **Kubernetes** transport is implemented and reviewed but +> has not yet been run against a cluster; statements specific to it are marked > **NOT CLUSTER-VERIFIED**. See [Outstanding work](#8-outstanding-work). --- @@ -434,6 +435,49 @@ uv run dagster dev -f src/distributed_execution/repository.py environment variables as output metadata on every run, which is the evidence the readiness checklist refers to. +### 5.6 What a verified run actually produced + +The two locally runnable jobs were launched from the Dagster UI, so the evidence +below comes from the full daemon → run launcher → executor path rather than from +a unit test. Hostnames are redacted; process IDs are real. + +`tightly_coupled_in_process_job`: + +```text +succeeded steps: 7 + generate_work_units, report_execution_target, + process_work_unit[unit_0..unit_3], summarise_results + +units = 4 +contributing_hosts = ['dev-host'] +contributing_workers = ['dev-host#25264'] +``` + +`loosely_coupled_subprocess_job`: + +```text +succeeded steps: 7 + generate_work_units, report_execution_target, + dispatch_external_work_subprocess[unit_0..unit_3], summarise_results + +units = 4 +contributing_hosts = ['dev-host'] +contributing_workers = ['dev-host#13532', 'dev-host#27116', + 'dev-host#32984', 'dev-host#31224'] +``` + +Read the two blocks together. The step lists are the same shape, which is the +point of section 5.3 — the graphs differ by one node. `contributing_workers` is +what separates them: one entry means the work happened inside the Dagster +process; four means four external processes did it and reported back over the +pipes channel. `contributing_hosts` stays at one because a laptop is one machine; +on a cluster it is what distinguishes `k8s_job_executor` from +`multiprocess_executor`. + +`launcher_namespace` reads `` in both. In a cluster run it +holds the namespace the run pod landed in, which is the placement half of the +execution target. + --- ## 6. Upstream documentation @@ -469,7 +513,8 @@ Tracked under SIMPL-30451. | Runnable tightly coupled reference implementations | AC4 | Complete | | Runnable loosely coupled reference implementation | AC4 | Complete (subprocess verified, K8s not cluster-run) | | Both images build; payload image passes the isolation check (L11) | Tech details | Complete | +| Locally runnable jobs launched from the Dagster UI, evidence recorded in section 5.6 | Tech details | Complete | | Payload image published to the container registry | Tech details | **Pending** — needs the CI build job | | End-to-end run of `loosely_coupled_k8s_job` on a cluster | Tech details | **Pending** | -| Screenshots of UI surfaces | Tech details | **Pending** | +| Screenshots of UI surfaces | Tech details | **Pending** — needs a deployed platform instance, not a local dev server | | Platform architecture document update | Tech details | **Pending** | From 5122da4691f990823f404bf997a9a0aeb4351dfc Mon Sep 17 00:00:00 2001 From: ILay Date: Thu, 27 Aug 2026 18:58:38 +0200 Subject: [PATCH 5/8] [SIMPL-30451] Add Gitea Actions workflow that builds and publishes both images Adapted from template-code-location's docker-publish.yml. The repository ships two images, so the workflow builds the code location from the root Dockerfile and the payload from payload/Dockerfile, and tags both with the same short SHA - that shared tag is what keeps a code location and the payload it dispatches on the same version. Each image gets its own gate before it is pushed. The code location image must load its Dagster definitions and carry payload/work.py for the subprocess transport. The payload image must contain dagster_pipes and must not contain dagster, which is readiness checklist L11; running that assertion against the code location image fails as expected, so the check discriminates rather than passing vacuously. Changelog: added --- .gitea/workflows/docker-publish.yml | 151 ++++++++++++++++++ .../user-guide/distributed-execution-guide.md | 2 +- 2 files changed, 152 insertions(+), 1 deletion(-) create mode 100644 .gitea/workflows/docker-publish.yml diff --git a/.gitea/workflows/docker-publish.yml b/.gitea/workflows/docker-publish.yml new file mode 100644 index 0000000..a21b82e --- /dev/null +++ b/.gitea/workflows/docker-publish.yml @@ -0,0 +1,151 @@ +name: Build and Push Docker Images + +on: + push: + branches: + - main + workflow_dispatch: + +env: + BASE_DOMAIN: dataprovider01.sandbox-cat-dat.simpl-europe.eu + OWNER: j.r + +jobs: + build-and-push: + runs-on: orchestration-platform + defaults: + run: + shell: sh + env: + REGISTRY: gitea.${{ env.BASE_DOMAIN }} + IMAGE_REPO: gitea.${{ env.BASE_DOMAIN }}/${{ env.OWNER }}/distributed-execution + PAYLOAD_IMAGE_REPO: gitea.${{ env.BASE_DOMAIN }}/${{ env.OWNER }}/distributed-execution-payload + REPO_DIR: repo + REPO_CLONE_URL: https://gitea.${{ env.BASE_DOMAIN }}/${{ env.OWNER }}/distributed-execution.git + steps: + - name: Checkout repository (shell) + run: | + CLONE_USER="${{ secrets.REGISTRY_USERNAME }}" + CLONE_PASS="${{ secrets.REGISTRY_PASSWORD }}" + REF_NAME="${GITHUB_REF_NAME}" + if [ -z "${REF_NAME}" ]; then + REF_NAME="${GITHUB_REF#refs/heads/}" + fi + + if [ -z "${CLONE_USER}" ] || [ -z "${CLONE_PASS}" ]; then + echo "Missing REGISTRY_USERNAME or REGISTRY_PASSWORD secret" + exit 1 + fi + + rm -rf "${REPO_DIR}" + AUTH_HEADER="$(printf '%s:%s' "${CLONE_USER}" "${CLONE_PASS}" | base64 | tr -d '\n')" + git clone --depth 1 --branch "${REF_NAME}" \ + -c "http.extraHeader=Authorization: Basic ${AUTH_HEADER}" \ + "${REPO_CLONE_URL}" \ + "${REPO_DIR}" + + if [ ! -f "${REPO_DIR}/Dockerfile" ]; then + echo "Code location Dockerfile not found after clone" + exit 1 + fi + + if [ ! -f "${REPO_DIR}/payload/Dockerfile" ]; then + echo "Payload Dockerfile not found after clone" + exit 1 + fi + + - name: Validate registry secrets + run: | + if [ -z "${{ secrets.REGISTRY_USERNAME }}" ] || [ -z "${{ secrets.REGISTRY_PASSWORD }}" ]; then + echo "Missing REGISTRY_USERNAME or REGISTRY_PASSWORD secret" + exit 1 + fi + + - name: Login to registry + run: | + echo "${{ secrets.REGISTRY_PASSWORD }}" | docker login "${REGISTRY}" \ + -u "${{ secrets.REGISTRY_USERNAME }}" --password-stdin + + # Both images take the same SHA tag: that is what keeps the code location and + # the payload it dispatches on the same version. + - name: Build code location image + run: | + COMMIT_SHA="${GITHUB_SHA:-$GITEA_SHA}" + SHORT_SHA="$(echo "${COMMIT_SHA}" | cut -c1-12)" + cd "${REPO_DIR}" + docker build \ + -t "${IMAGE_REPO}:latest" \ + -t "${IMAGE_REPO}:${SHORT_SHA}" \ + . + + - name: Build payload image + run: | + COMMIT_SHA="${GITHUB_SHA:-$GITEA_SHA}" + SHORT_SHA="$(echo "${COMMIT_SHA}" | cut -c1-12)" + cd "${REPO_DIR}" + docker build \ + -f payload/Dockerfile \ + -t "${PAYLOAD_IMAGE_REPO}:latest" \ + -t "${PAYLOAD_IMAGE_REPO}:${SHORT_SHA}" \ + payload/ + + - name: Validate code location image + run: | + COMMIT_SHA="${GITHUB_SHA:-$GITEA_SHA}" + SHORT_SHA="$(echo "${COMMIT_SHA}" | cut -c1-12)" + docker run --rm "${IMAGE_REPO}:${SHORT_SHA}" \ + dagster definitions validate -f src/distributed_execution/repository.py + docker run --rm "${IMAGE_REPO}:${SHORT_SHA}" \ + test -f /app/payload/work.py + + # Readiness checklist L11: the payload image must not carry the orchestration + # runtime, otherwise the isolation argument for the loosely coupled target is void. + - name: Validate payload image isolation + run: | + COMMIT_SHA="${GITHUB_SHA:-$GITEA_SHA}" + SHORT_SHA="$(echo "${COMMIT_SHA}" | cut -c1-12)" + docker run --rm "${PAYLOAD_IMAGE_REPO}:${SHORT_SHA}" python -c " + import importlib.util + assert importlib.util.find_spec('dagster_pipes') is not None, 'dagster_pipes missing from payload image' + assert importlib.util.find_spec('dagster') is None, 'payload image must not contain the dagster package' + print('payload isolation OK') + " + + - name: Push code location image tags + run: | + COMMIT_SHA="${GITHUB_SHA:-$GITEA_SHA}" + SHORT_SHA="$(echo "${COMMIT_SHA}" | cut -c1-12)" + docker push "${IMAGE_REPO}:latest" + docker push "${IMAGE_REPO}:${SHORT_SHA}" + + - name: Push payload image tags + run: | + COMMIT_SHA="${GITHUB_SHA:-$GITEA_SHA}" + SHORT_SHA="$(echo "${COMMIT_SHA}" | cut -c1-12)" + docker push "${PAYLOAD_IMAGE_REPO}:latest" + docker push "${PAYLOAD_IMAGE_REPO}:${SHORT_SHA}" + + - name: Report image references + run: | + COMMIT_SHA="${GITHUB_SHA:-$GITEA_SHA}" + SHORT_SHA="$(echo "${COMMIT_SHA}" | cut -c1-12)" + echo "Code location image: ${IMAGE_REPO}:${SHORT_SHA}" + echo "Payload image: ${PAYLOAD_IMAGE_REPO}:${SHORT_SHA}" + echo "" + echo "Set PIPES_PAYLOAD_IMAGE on both the code location and the run pods:" + echo " PIPES_PAYLOAD_IMAGE=${PAYLOAD_IMAGE_REPO}:${SHORT_SHA}" + echo "See yaml/loosely-coupled/values-pipes-payload.yaml." + + # The automated update of the deployment requires a technical user with + # their kube config in the secrets. See the template repository's user manual. + # - name: Update Dagster user deployment image + # run: | + # COMMIT_SHA="${GITHUB_SHA:-$GITEA_SHA}" + # SHORT_SHA="$(echo "${COMMIT_SHA}" | cut -c1-12)" + # kubectl patch deployment "${DEPLOYMENT_NAME}" \ + # -n "${K8S_NAMESPACE}" \ + # --type='strategic' \ + # -p="{\"spec\":{\"template\":{\"spec\":{\"containers\":[{\"name\":\"dagster-user-deployments\",\"image\":\"${IMAGE_REPO}:${SHORT_SHA}\",\"env\":[{\"name\":\"DAGSTER_CURRENT_IMAGE\",\"value\":\"${IMAGE_REPO}:${SHORT_SHA}\"},{\"name\":\"PIPES_PAYLOAD_IMAGE\",\"value\":\"${PAYLOAD_IMAGE_REPO}:${SHORT_SHA}\"}]}]}}}}" + # kubectl rollout status deployment/"${DEPLOYMENT_NAME}" \ + # -n "${K8S_NAMESPACE}" \ + # --timeout=5m diff --git a/documents/user-guide/distributed-execution-guide.md b/documents/user-guide/distributed-execution-guide.md index 89d264b..ac0cfb4 100644 --- a/documents/user-guide/distributed-execution-guide.md +++ b/documents/user-guide/distributed-execution-guide.md @@ -514,7 +514,7 @@ Tracked under SIMPL-30451. | Runnable loosely coupled reference implementation | AC4 | Complete (subprocess verified, K8s not cluster-run) | | Both images build; payload image passes the isolation check (L11) | Tech details | Complete | | Locally runnable jobs launched from the Dagster UI, evidence recorded in section 5.6 | Tech details | Complete | -| Payload image published to the container registry | Tech details | **Pending** — needs the CI build job | +| Payload image published to the container registry | Tech details | **Pending** — build workflow exists, awaiting registry secrets and a first run | | End-to-end run of `loosely_coupled_k8s_job` on a cluster | Tech details | **Pending** | | Screenshots of UI surfaces | Tech details | **Pending** — needs a deployed platform instance, not a local dev server | | Platform architecture document update | Tech details | **Pending** | From 2320b41b8629b96d53b6b160e7bdc624f31b1775 Mon Sep 17 00:00:00 2001 From: ILay Date: Mon, 31 Aug 2026 10:52:00 +0200 Subject: [PATCH 6/8] [SIMPL-30451] Record that CI publishes both images The first workflow run went green and pushed distributed-execution and distributed-execution-payload to the sandbox Gitea registry, both tagged latest and 5122da4691f9. The matching SHA tag confirms the version lock between the code location and the payload it dispatches actually holds end to end. Changelog: changed --- README.md | 5 +++++ documents/user-guide/distributed-execution-guide.md | 2 +- 2 files changed, 6 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 30e4103..14ed312 100644 --- a/README.md +++ b/README.md @@ -81,6 +81,11 @@ Both images build and have been smoke tested locally: the code location image loads its definitions, and the payload image contains `dagster_pipes` without `dagster` — check L11 in the readiness checklist. +[.gitea/workflows/docker-publish.yml](.gitea/workflows/docker-publish.yml) runs +the same two builds on every push to `main`, applies those checks as gates, and +tags both images with the same short commit SHA — that shared tag is what keeps a +code location and the payload it dispatches on the same version. + ## Status Both execution targets are implemented. The tightly coupled jobs and the loosely diff --git a/documents/user-guide/distributed-execution-guide.md b/documents/user-guide/distributed-execution-guide.md index ac0cfb4..e81ac61 100644 --- a/documents/user-guide/distributed-execution-guide.md +++ b/documents/user-guide/distributed-execution-guide.md @@ -514,7 +514,7 @@ Tracked under SIMPL-30451. | Runnable loosely coupled reference implementation | AC4 | Complete (subprocess verified, K8s not cluster-run) | | Both images build; payload image passes the isolation check (L11) | Tech details | Complete | | Locally runnable jobs launched from the Dagster UI, evidence recorded in section 5.6 | Tech details | Complete | -| Payload image published to the container registry | Tech details | **Pending** — build workflow exists, awaiting registry secrets and a first run | +| Payload image published to a container registry | Tech details | Complete on the sandbox Gitea registry; the GitLab registry still pending | | End-to-end run of `loosely_coupled_k8s_job` on a cluster | Tech details | **Pending** | | Screenshots of UI surfaces | Tech details | **Pending** — needs a deployed platform instance, not a local dev server | | Platform architecture document update | Tech details | **Pending** | From c2a49f097115789cfe3ce550009147100c767762 Mon Sep 17 00:00:00 2001 From: ILay Date: Mon, 31 Aug 2026 16:12:57 +0200 Subject: [PATCH 7/8] [SIMPL-30451] Add sandbox deployment values and the pull-secret caveat yaml/sandbox/values-sandbox-gitea.yaml carries the registry coordinates, the pull secret both namespaces need, and the commit SHA the two images share. The sandbox registry rejects anonymous pulls, so a payload namespace without its own pull secret leaves the dispatching op waiting on a pod that never starts - readiness check L4 now says so. Changelog: added --- .../user-guide/distributed-execution-guide.md | 2 + documents/user-guide/readiness-checklist.md | 2 +- yaml/sandbox/values-sandbox-gitea.yaml | 57 +++++++++++++++++++ 3 files changed, 60 insertions(+), 1 deletion(-) create mode 100644 yaml/sandbox/values-sandbox-gitea.yaml diff --git a/documents/user-guide/distributed-execution-guide.md b/documents/user-guide/distributed-execution-guide.md index e81ac61..ab2b94f 100644 --- a/documents/user-guide/distributed-execution-guide.md +++ b/documents/user-guide/distributed-execution-guide.md @@ -395,6 +395,7 @@ setting. There is no UI control that switches a workflow between the two pattern | `yaml/tightly-coupled/values-run-launcher.yaml` | Run launcher type, namespace, pod env | | `yaml/tightly-coupled/rbac-step-executor.yaml` | Permissions required by `k8s_job_executor` | | `yaml/loosely-coupled/values-pipes-payload.yaml` | Payload image reference and target namespace | +| `yaml/sandbox/values-sandbox-gitea.yaml` | Sandbox registry coordinates, pull secret, and the SHA both images share | | `yaml/loosely-coupled/rbac-pipes-dispatch.yaml` | Permissions required by the dispatching pod | | `yaml/values-dagster-distributed-execution.yaml` | Code location image and entry point | @@ -515,6 +516,7 @@ Tracked under SIMPL-30451. | Both images build; payload image passes the isolation check (L11) | Tech details | Complete | | Locally runnable jobs launched from the Dagster UI, evidence recorded in section 5.6 | Tech details | Complete | | Payload image published to a container registry | Tech details | Complete on the sandbox Gitea registry; the GitLab registry still pending | +| GitLab pipeline builds both images | Tech details | **Pending** — the shared `ds.gitlab-ci.yml` template builds one image from the root Dockerfile | | End-to-end run of `loosely_coupled_k8s_job` on a cluster | Tech details | **Pending** | | Screenshots of UI surfaces | Tech details | **Pending** — needs a deployed platform instance, not a local dev server | | Platform architecture document update | Tech details | **Pending** | diff --git a/documents/user-guide/readiness-checklist.md b/documents/user-guide/readiness-checklist.md index d6e5956..f187b43 100644 --- a/documents/user-guide/readiness-checklist.md +++ b/documents/user-guide/readiness-checklist.md @@ -46,7 +46,7 @@ location image. | L1 | Payload contract is intact | `uv run pytest tests/test_loosely_coupled.py` | `test_payload_does_not_import_dagster` passes — the payload imports `dagster_pipes` only | | L2 | Pipes round trip works | Launch `loosely_coupled_subprocess_job` | Run reaches `SUCCESS`; run logs contain the payload's `External payload started on …` line, proving `pipes.log` crossed the channel | | L3 | Silence is treated as failure | Same test module | `test_silent_message_path_is_treated_as_failure` passes — an empty message list raises rather than yielding an empty result | -| L4 | Payload image is pullable by the target cluster | `kubectl -n run pull-probe --image= --restart=Never --command -- true` | Pod reaches `Completed`; no `ImagePullBackOff` | +| L4 | Payload image is pullable by the target cluster | `kubectl -n run pull-probe --image= --restart=Never --command -- true` | Pod reaches `Completed`; no `ImagePullBackOff`. The sandbox Gitea registry rejects anonymous pulls, so the payload namespace needs its own pull secret — see `yaml/sandbox/values-sandbox-gitea.yaml` | | L5 | Dispatcher can create Jobs in the payload namespace | `kubectl -n auth can-i create jobs --as=system:serviceaccount:dagster:dagster-dev` | Returns `yes` | | L6 | Dispatcher can read pod logs — **the message channel** | `kubectl -n auth can-i get pods/log --as=system:serviceaccount:dagster:dagster-dev` | Returns `yes`. A `no` here breaks reporting *without* failing the workload | | L7 | Payload Job is actually created | Launch `loosely_coupled_k8s_job`, then `kubectl -n get jobs -l app.kubernetes.io/name=distributed-execution-payload` | One Job per dispatch, labelled `dagster/execution-target=loosely-coupled` | diff --git a/yaml/sandbox/values-sandbox-gitea.yaml b/yaml/sandbox/values-sandbox-gitea.yaml new file mode 100644 index 0000000..883ee37 --- /dev/null +++ b/yaml/sandbox/values-sandbox-gitea.yaml @@ -0,0 +1,57 @@ +# Sandbox deployment values - Gitea registry. +# +# NOT CLUSTER-VERIFIED. These values are written against images that exist and a +# registry whose auth behaviour was checked, but they have not been applied to a +# Simpl cluster. Confirm and amend after the first deployment. +# +# Use these instead of the code.europa.eu references in +# yaml/values-dagster-distributed-execution.yaml and +# yaml/loosely-coupled/values-pipes-payload.yaml when deploying to the +# dataprovider01 sandbox. Both images are published by +# .gitea/workflows/docker-publish.yml. +# +# The tag below is a short commit SHA and is the same for both images. That is +# the version lock: the code location and the payload it dispatches must come +# from one commit. Bump both together or not at all. +# +# The sandbox Gitea registry requires authentication - an anonymous manifest GET +# returns 401 - so a pull secret is required in every namespace that pulls either +# image. Create it with a Gitea access token that has read:package scope: +# +# kubectl -n create secret docker-registry gitea-registry \ +# --docker-server=gitea.dataprovider01.sandbox-cat-dat.simpl-europe.eu \ +# --docker-username= \ +# --docker-password= +# +# The payload namespace needs it too: PipesK8sClient creates that Job, and a +# missing pull secret there leaves the op waiting on a pod that never starts, +# which surfaces as pod_wait_timeout rather than as an image error. + +dagster: + dagster-user-deployments: + deployments: + - name: distributed-execution + image: + repository: gitea.dataprovider01.sandbox-cat-dat.simpl-europe.eu/j.r/distributed-execution + tag: 5122da4691f9 + pullPolicy: IfNotPresent + imagePullSecrets: + - name: gitea-registry + env: + - name: PIPES_PAYLOAD_IMAGE + value: gitea.dataprovider01.sandbox-cat-dat.simpl-europe.eu/j.r/distributed-execution-payload:5122da4691f9 + - name: PIPES_PAYLOAD_NAMESPACE + value: dagster + + runLauncher: + config: + k8sRunLauncher: + imagePullSecrets: + - name: gitea-registry + runK8sConfig: + containerConfig: + env: + - name: PIPES_PAYLOAD_IMAGE + value: gitea.dataprovider01.sandbox-cat-dat.simpl-europe.eu/j.r/distributed-execution-payload:5122da4691f9 + - name: PIPES_PAYLOAD_NAMESPACE + value: dagster From 6532d640f925f5fc4f6a207f294a8299cee37d00 Mon Sep 17 00:00:00 2001 From: ILay Date: Mon, 31 Aug 2026 16:13:05 +0200 Subject: [PATCH 8/8] [SIMPL-30451] Point image references at the project registry path The GitLab project lives at simpl-open/data/supporting-data-services/distributed-execution/distributed-execution, so CI_REGISTRY_IMAGE ends in the project name twice. The pipeline pushes to CI_REGISTRY_IMAGE and nowhere else, so the earlier one-segment path named an image nobody builds - the same mismatch that field-level-pseudo-anonymisation and dataframe-level-anonymisation carry today. Changelog: fixed --- .../loosely_coupled/jobs.py | 3 ++- .../loosely-coupled/values-pipes-payload.yaml | 19 +++++++++++++++++-- .../values-dagster-distributed-execution.yaml | 4 +++- 3 files changed, 22 insertions(+), 4 deletions(-) diff --git a/src/distributed_execution/loosely_coupled/jobs.py b/src/distributed_execution/loosely_coupled/jobs.py index 1e9c760..6497a21 100644 --- a/src/distributed_execution/loosely_coupled/jobs.py +++ b/src/distributed_execution/loosely_coupled/jobs.py @@ -38,7 +38,8 @@ PAYLOAD_SCRIPT = os.environ.get("PIPES_PAYLOAD_SCRIPT", str(_REPO_ROOT / "payloa PAYLOAD_IMAGE = os.environ.get( "PIPES_PAYLOAD_IMAGE", - "code.europa.eu:4567/simpl/simpl-open/data/supporting-data-services/distributed-execution/payload:0.1.0", + "code.europa.eu:4567/simpl/simpl-open/data/supporting-data-services" + "/distributed-execution/distributed-execution/payload:0.0.1", ) PAYLOAD_NAMESPACE = os.environ.get("PIPES_PAYLOAD_NAMESPACE", "dagster") diff --git a/yaml/loosely-coupled/values-pipes-payload.yaml b/yaml/loosely-coupled/values-pipes-payload.yaml index 98f93cd..b529d82 100644 --- a/yaml/loosely-coupled/values-pipes-payload.yaml +++ b/yaml/loosely-coupled/values-pipes-payload.yaml @@ -6,6 +6,19 @@ # Contrast with yaml/tightly-coupled/values-run-launcher.yaml: there, every # execution pod needed S3 and Vault credentials. Here the payload needs none - # only the dispatching pod does. +# +# VERSION LOCK. The payload tag below must equal the code location image tag in +# yaml/values-dagster-distributed-execution.yaml. The two images share a commit: +# the dispatching op and payload/work.py agree on the `units` extras key and on +# the custom-message shape, and nothing at runtime checks that agreement. A +# mismatched pair surfaces as "no pipes messages received", which reads like a +# broken message channel rather than a version skew. +# +# For values that work today, see yaml/sandbox/values-sandbox-gitea.yaml. The +# shared GitLab pipeline (ds.gitlab-ci.yml) builds exactly one image per project - +# $CI_REGISTRY_IMAGE from the root Dockerfile - so the payload reference below +# resolves only once that pipeline learns to build a second image. The Gitea +# workflow in .gitea/workflows/docker-publish.yml already builds both. dagster: dagster-user-deployments: @@ -14,7 +27,8 @@ dagster: envSecrets: [] env: - name: PIPES_PAYLOAD_IMAGE - value: code.europa.eu:4567/simpl/simpl-open/data/supporting-data-services/distributed-execution/payload:0.1.0 + # DO NOT CHANGE the tag - replaced automatically by the pipeline before releasing + value: code.europa.eu:4567/simpl/simpl-open/data/supporting-data-services/distributed-execution/distributed-execution/payload:0.0.0 - name: PIPES_PAYLOAD_NAMESPACE value: dagster @@ -27,6 +41,7 @@ dagster: containerConfig: env: - name: PIPES_PAYLOAD_IMAGE - value: code.europa.eu:4567/simpl/simpl-open/data/supporting-data-services/distributed-execution/payload:0.1.0 + # DO NOT CHANGE the tag - replaced automatically by the pipeline before releasing + value: code.europa.eu:4567/simpl/simpl-open/data/supporting-data-services/distributed-execution/distributed-execution/payload:0.0.0 - name: PIPES_PAYLOAD_NAMESPACE value: dagster diff --git a/yaml/values-dagster-distributed-execution.yaml b/yaml/values-dagster-distributed-execution.yaml index 370e24b..8a057b0 100644 --- a/yaml/values-dagster-distributed-execution.yaml +++ b/yaml/values-dagster-distributed-execution.yaml @@ -28,7 +28,9 @@ dagster: image: pullPolicy: IfNotPresent - repository: code.europa.eu:4567/simpl/simpl-open/data/supporting-data-services/distributed-execution + # $CI_REGISTRY_IMAGE for this project - the pipeline pushes here, so anything + # else is a reference to an image nobody builds. + repository: code.europa.eu:4567/simpl/simpl-open/data/supporting-data-services/distributed-execution/distributed-execution tag: 0.0.0 # DO NOT CHANGE - replaced automatically by the pipeline before releasing port: 4000