def launch_run(self, instance, run, external_pipeline): check.inst_param(run, 'run', PipelineRun) job_name = get_job_name_from_run_id(run.run_id) pod_name = job_name exc_config = _get_validated_celery_k8s_executor_config(run.run_config) job_image = None pipeline_origin = None env_vars = None if isinstance(external_pipeline.get_origin(), PipelineGrpcServerOrigin): if exc_config.get('job_image'): raise DagsterInvariantViolationError( 'Cannot specify job_image in executor config when loading pipeline ' 'from GRPC server.') repository_location_handle = ( external_pipeline.repository_handle.repository_location_handle) if not isinstance(repository_location_handle, GrpcServerRepositoryLocationHandle): raise DagsterInvariantViolationError( 'Expected RepositoryLocationHandle to be of type ' 'GrpcServerRepositoryLocationHandle but found type {}'. format(type(repository_location_handle))) job_image = repository_location_handle.get_current_image() env_vars = {'DAGSTER_CURRENT_IMAGE': job_image} repository_name = external_pipeline.repository_handle.repository_name pipeline_origin = PipelinePythonOrigin( pipeline_name=external_pipeline.name, repository_origin=repository_location_handle. get_repository_python_origin(repository_name), ) else: job_image = exc_config.get('job_image') if not job_image: raise DagsterInvariantViolationError( 'Cannot find job_image in celery-k8s executor config.') pipeline_origin = external_pipeline.get_origin() job_config = DagsterK8sJobConfig( dagster_home=self.dagster_home, instance_config_map=self.instance_config_map, postgres_password_secret=self.postgres_password_secret, job_image=check.str_param(job_image, 'job_image'), image_pull_policy=exc_config.get('image_pull_policy'), image_pull_secrets=exc_config.get('image_pull_secrets'), service_account_name=exc_config.get('service_account_name'), env_config_maps=exc_config.get('env_config_maps'), env_secrets=exc_config.get('env_secrets'), ) resources = get_k8s_resource_requirements( frozentags(external_pipeline.tags)) from dagster.cli.api import ExecuteRunArgs input_json = serialize_dagster_namedtuple( # depends on DagsterInstance.get() returning the same instance # https://github.com/dagster-io/dagster/issues/2757 ExecuteRunArgs( pipeline_origin=pipeline_origin, pipeline_run_id=run.run_id, instance_ref=None, )) job = construct_dagster_k8s_job( job_config, command=['dagster'], args=['api', 'execute_run_with_structured_logs', input_json], job_name=job_name, pod_name=pod_name, component='run_coordinator', resources=resources, env_vars=env_vars, ) job_namespace = exc_config.get('job_namespace') api = kubernetes.client.BatchV1Api() api.create_namespaced_job(body=job, namespace=job_namespace) self._instance.report_engine_event( 'Kubernetes run_coordinator job launched', run, EngineEventData([ EventMetadataEntry.text(job_name, 'Kubernetes Job name'), EventMetadataEntry.text(pod_name, 'Kubernetes Pod name'), EventMetadataEntry.text(job_namespace, 'Kubernetes Namespace'), EventMetadataEntry.text(run.run_id, 'Run ID'), ]), cls=CeleryK8sRunLauncher, ) return run
def launch_run(self, run, external_pipeline): check.inst_param(run, "run", PipelineRun) check.inst_param(external_pipeline, "external_pipeline", ExternalPipeline) job_name = get_job_name_from_run_id(run.run_id) pod_name = job_name exc_config = _get_validated_celery_k8s_executor_config(run.run_config) env_vars = None job_image_from_executor_config = exc_config.get("job_image") pipeline_origin = external_pipeline.get_python_origin() repository_origin = pipeline_origin.repository_origin job_image = repository_origin.container_image if job_image: env_vars = {"DAGSTER_CURRENT_IMAGE": job_image} if job_image_from_executor_config: raise DagsterInvariantViolationError( "You have specified a job_image {job_image_from_executor_config} in your executor configuration, " "but also {job_image} in your user-code deployment. You cannot specify a job_image " "in your executor config when using user-code deployments because the job image is " "pulled from the deployment. To resolve this error, remove the job_image " "configuration from your executor configuration (which is a part of your run configuration)" ) else: if not job_image_from_executor_config: raise DagsterInvariantViolationError( "You have not specified a job_image in your executor configuration. " "To resolve this error, specify the job_image configuration in the executor " "config section in your run config. \n" "Note: You may also be seeing this error because you are using the configured API. " "Using configured with the celery-k8s executor is not supported at this time, " "and the job_image must be configured at the top-level executor config without " "using configured." ) job_image = job_image_from_executor_config job_config = DagsterK8sJobConfig( dagster_home=self.dagster_home, instance_config_map=self.instance_config_map, postgres_password_secret=self.postgres_password_secret, job_image=check.str_param(job_image, "job_image"), image_pull_policy=exc_config.get("image_pull_policy"), image_pull_secrets=exc_config.get("image_pull_secrets"), service_account_name=exc_config.get("service_account_name"), env_config_maps=exc_config.get("env_config_maps"), env_secrets=exc_config.get("env_secrets"), ) user_defined_k8s_config = get_user_defined_k8s_config(frozentags(run.tags)) from dagster.cli.api import ExecuteRunArgs input_json = serialize_dagster_namedtuple( # depends on DagsterInstance.get() returning the same instance # https://github.com/dagster-io/dagster/issues/2757 ExecuteRunArgs( pipeline_origin=pipeline_origin, pipeline_run_id=run.run_id, instance_ref=None, ) ) job = construct_dagster_k8s_job( job_config, args=["dagster", "api", "execute_run", input_json], job_name=job_name, pod_name=pod_name, component="run_coordinator", user_defined_k8s_config=user_defined_k8s_config, env_vars=env_vars, ) job_namespace = exc_config.get("job_namespace") self._batch_api.create_namespaced_job(body=job, namespace=job_namespace) self._instance.report_engine_event( "Kubernetes run worker job launched", run, EngineEventData( [ EventMetadataEntry.text(job_name, "Kubernetes Job name"), EventMetadataEntry.text(job_namespace, "Kubernetes Namespace"), EventMetadataEntry.text(run.run_id, "Run ID"), ] ), cls=self.__class__, ) return run
def launch_run(self, context: LaunchRunContext) -> None: run = context.pipeline_run job_name = get_job_name_from_run_id(run.run_id) pod_name = job_name exc_config = _get_validated_celery_k8s_executor_config(run.run_config) env_vars = None job_image_from_executor_config = exc_config.get("job_image") pipeline_origin = context.pipeline_code_origin repository_origin = pipeline_origin.repository_origin job_image = repository_origin.container_image if job_image: if job_image_from_executor_config: job_image = job_image_from_executor_config self._instance.report_engine_event( f"You have specified a job_image {job_image_from_executor_config} in your executor configuration, " f"but also {job_image} in your user-code deployment. Using the job image {job_image_from_executor_config} " f"from executor configuration as it takes precedence.", run, cls=self.__class__, ) else: if not job_image_from_executor_config: raise DagsterInvariantViolationError( "You have not specified a job_image in your executor configuration. " "To resolve this error, specify the job_image configuration in the executor " "config section in your run config. \n" "Note: You may also be seeing this error because you are using the configured API. " "Using configured with the celery-k8s executor is not supported at this time, " "and the job_image must be configured at the top-level executor config without " "using configured." ) job_image = job_image_from_executor_config job_config = self.get_k8s_job_config(job_image, exc_config) self._instance.add_run_tags( run.run_id, {DOCKER_IMAGE_TAG: job_config.job_image}, ) user_defined_k8s_config = get_user_defined_k8s_config(frozentags(run.tags)) from dagster.cli.api import ExecuteRunArgs run_args = ExecuteRunArgs( pipeline_origin=pipeline_origin, pipeline_run_id=run.run_id, instance_ref=self._instance.get_ref(), set_exit_code_on_failure=self._fail_pod_on_run_failure, ).get_command_args() job = construct_dagster_k8s_job( job_config, args=run_args, job_name=job_name, pod_name=pod_name, component="run_worker", user_defined_k8s_config=user_defined_k8s_config, env_vars=env_vars, labels={ "dagster/job": pipeline_origin.pipeline_name, }, ) job_namespace = exc_config.get("job_namespace") self._instance.report_engine_event( "Creating Kubernetes run worker job", run, EngineEventData( [ EventMetadataEntry.text(job_name, "Kubernetes Job name"), EventMetadataEntry.text(job_namespace, "Kubernetes Namespace"), EventMetadataEntry.text(run.run_id, "Run ID"), ] ), cls=self.__class__, ) self._batch_api.create_namespaced_job(body=job, namespace=job_namespace) self._instance.report_engine_event( "Kubernetes run worker job created", run, EngineEventData( [ EventMetadataEntry.text(job_name, "Kubernetes Job name"), EventMetadataEntry.text(job_namespace, "Kubernetes Namespace"), EventMetadataEntry.text(run.run_id, "Run ID"), ] ), cls=self.__class__, )
def launch_run(self, instance, run, external_pipeline): check.inst_param(instance, "instance", DagsterInstance) check.inst_param(run, "run", PipelineRun) check.inst_param(external_pipeline, "external_pipeline", ExternalPipeline) job_name = get_job_name_from_run_id(run.run_id) pod_name = job_name exc_config = _get_validated_celery_k8s_executor_config(run.run_config) job_image = None pipeline_origin = None env_vars = None if isinstance(external_pipeline.get_origin(), PipelineGrpcServerOrigin): if exc_config.get("job_image"): raise DagsterInvariantViolationError( "Cannot specify job_image in executor config when loading pipeline " "from GRPC server.") repository_location_handle = ( external_pipeline.repository_handle.repository_location_handle) if not isinstance(repository_location_handle, GrpcServerRepositoryLocationHandle): raise DagsterInvariantViolationError( "Expected RepositoryLocationHandle to be of type " "GrpcServerRepositoryLocationHandle but found type {}". format(type(repository_location_handle))) job_image = repository_location_handle.get_current_image() env_vars = {"DAGSTER_CURRENT_IMAGE": job_image} repository_name = external_pipeline.repository_handle.repository_name pipeline_origin = PipelinePythonOrigin( pipeline_name=external_pipeline.name, repository_origin=repository_location_handle. reload_repository_python_origin(repository_name), ) else: job_image = exc_config.get("job_image") if not job_image: raise DagsterInvariantViolationError( "Cannot find job_image in celery-k8s executor config.") pipeline_origin = external_pipeline.get_origin() job_config = DagsterK8sJobConfig( dagster_home=self.dagster_home, instance_config_map=self.instance_config_map, postgres_password_secret=self.postgres_password_secret, job_image=check.str_param(job_image, "job_image"), image_pull_policy=exc_config.get("image_pull_policy"), image_pull_secrets=exc_config.get("image_pull_secrets"), service_account_name=exc_config.get("service_account_name"), env_config_maps=exc_config.get("env_config_maps"), env_secrets=exc_config.get("env_secrets"), ) user_defined_k8s_config = get_user_defined_k8s_config( frozentags(run.tags)) from dagster.cli.api import ExecuteRunArgs input_json = serialize_dagster_namedtuple( # depends on DagsterInstance.get() returning the same instance # https://github.com/dagster-io/dagster/issues/2757 ExecuteRunArgs( pipeline_origin=pipeline_origin, pipeline_run_id=run.run_id, instance_ref=None, )) job = construct_dagster_k8s_job( job_config, command=["dagster"], args=["api", "execute_run_with_structured_logs", input_json], job_name=job_name, pod_name=pod_name, component="run_coordinator", user_defined_k8s_config=user_defined_k8s_config, env_vars=env_vars, ) job_namespace = exc_config.get("job_namespace") self._batch_api.create_namespaced_job(body=job, namespace=job_namespace) self._instance.report_engine_event( "Kubernetes run_coordinator job launched", run, EngineEventData([ EventMetadataEntry.text(job_name, "Kubernetes Job name"), EventMetadataEntry.text(pod_name, "Kubernetes Pod name"), EventMetadataEntry.text(job_namespace, "Kubernetes Namespace"), EventMetadataEntry.text(run.run_id, "Run ID"), ]), cls=self.__class__, ) return run
def launch_run(self, instance, run, external_pipeline): check.inst_param(run, 'run', PipelineRun) job_name = get_job_name_from_run_id(run.run_id) pod_name = job_name exc_config = _get_validated_celery_k8s_executor_config(run.run_config) job_config = DagsterK8sJobConfig( dagster_home=self.dagster_home, instance_config_map=self.instance_config_map, postgres_password_secret=self.postgres_password_secret, job_image=exc_config.get('job_image'), image_pull_policy=exc_config.get('image_pull_policy'), image_pull_secrets=exc_config.get('image_pull_secrets'), service_account_name=exc_config.get('service_account_name'), env_config_maps=exc_config.get('env_config_maps'), env_secrets=exc_config.get('env_secrets'), ) resources = get_k8s_resource_requirements(frozentags(external_pipeline.tags)) from dagster.cli.api import ExecuteRunArgs input_json = serialize_dagster_namedtuple( # depends on DagsterInstance.get() returning the same instance # https://github.com/dagster-io/dagster/issues/2757 ExecuteRunArgs( pipeline_origin=external_pipeline.get_origin(), pipeline_run_id=run.run_id, instance_ref=None, ) ) job = construct_dagster_k8s_job( job_config, command=['dagster'], args=['api', 'execute_run_with_structured_logs', input_json], job_name=job_name, pod_name=pod_name, component='runmaster', resources=resources, ) job_namespace = exc_config.get('job_namespace') api = kubernetes.client.BatchV1Api() api.create_namespaced_job(body=job, namespace=job_namespace) self._instance.report_engine_event( 'Kubernetes runmaster job launched', run, EngineEventData( [ EventMetadataEntry.text(job_name, 'Kubernetes Job name'), EventMetadataEntry.text(pod_name, 'Kubernetes Pod name'), EventMetadataEntry.text(job_namespace, 'Kubernetes Namespace'), EventMetadataEntry.text(run.run_id, 'Run ID'), ] ), cls=CeleryK8sRunLauncher, ) return run
def launch_run(self, instance, run, external_pipeline): check.inst_param(run, 'run', PipelineRun) job_name = get_job_name_from_run_id(run.run_id) pod_name = job_name exc_config = _get_validated_celery_k8s_executor_config(run.run_config) job_config = DagsterK8sJobConfig( dagster_home=self.dagster_home, instance_config_map=self.instance_config_map, postgres_password_secret=self.postgres_password_secret, job_image=exc_config.get('job_image'), image_pull_policy=exc_config.get('image_pull_policy'), image_pull_secrets=exc_config.get('image_pull_secrets'), service_account_name=exc_config.get('service_account_name'), env_config_maps=exc_config.get('env_config_maps'), env_secrets=exc_config.get('env_secrets'), ) resources = get_k8s_resource_requirements(frozentags(external_pipeline.tags)) job = construct_dagster_k8s_job( job_config=job_config, command=['dagster-graphql'], args=[ '-p', 'executeRunInProcess', '-v', seven.json.dumps( { 'runId': run.run_id, 'repositoryName': external_pipeline.handle.repository_name, 'repositoryLocationName': external_pipeline.handle.location_name, } ), '--remap-sigterm', ], job_name=job_name, pod_name=pod_name, component='runmaster', resources=resources, ) job_namespace = exc_config.get('job_namespace') api = kubernetes.client.BatchV1Api() api.create_namespaced_job(body=job, namespace=job_namespace) self._instance.report_engine_event( 'Kubernetes runmaster job launched', run, EngineEventData( [ EventMetadataEntry.text(job_name, 'Kubernetes Job name'), EventMetadataEntry.text(pod_name, 'Kubernetes Pod name'), EventMetadataEntry.text(job_namespace, 'Kubernetes Namespace'), EventMetadataEntry.text(run.run_id, 'Run ID'), ] ), cls=CeleryK8sRunLauncher, ) return run