Conector de Dataflow
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Conector de Workflows que define la función integrada que se usa para acceder a Dataflow en un flujo de trabajo.
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Para obtener documentación detallada que incluya este código de muestra, consulta lo siguiente:
Código de ejemplo
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[[["Es fácil de entender","easyToUnderstand","thumb-up"],["Me ofreció una solución al problema","solvedMyProblem","thumb-up"],["Otro","otherUp","thumb-up"]],[["Es difícil de entender","hardToUnderstand","thumb-down"],["La información o el código de muestra no son correctos","incorrectInformationOrSampleCode","thumb-down"],["Me faltan las muestras o la información que necesito","missingTheInformationSamplesINeed","thumb-down"],["Problema de traducción","translationIssue","thumb-down"],["Otro","otherDown","thumb-down"]],[],[],[],null,["# Connector for Dataflow\n\nWorkflows connector that defines the built-in function used to access Dataflow within a workflow.\n\nExplore further\n---------------\n\n\nFor detailed documentation that includes this code sample, see the following:\n\n- [Dataflow API Connector Overview](/workflows/docs/reference/googleapis/dataflow/Overview)\n\nCode sample\n-----------\n\n### YAML\n\n # This workflow demonstrates how to use the Cloud Dataflow connector.\n # The workflow creates a word count job using a Dataflow public job template\n # and uses a Cloud Storage bucket as temporary storage for temp files.\n # The bucket resource is deleted after the job completes.\n # Expected successful output: \"SUCCESS\"\n\n - init:\n assign:\n - project_id: ${sys.get_env(\"GOOGLE_CLOUD_PROJECT_ID\")}\n - location: \"us-central1\"\n - zone: \"us-central1-a\"\n - bucket_name: \"[fill in a bucket name]\"\n - job_name: \"[fill in a job name]\"\n - input_file: \"gs://dataflow-samples/shakespeare/kinglear.txt\"\n - output_storage_file_prefix: ${\"gs://\" + bucket_name + \"/counts\"}\n - temp_location: ${\"gs://\" + bucket_name + \"/counts/temp\"}\n - template_path: \"gs://dataflow-templates-us-central1/latest/Word_Count\"\n - create_bucket:\n call: googleapis.storage.v1.buckets.insert\n args:\n project: ${project_id}\n body:\n name: ${bucket_name}\n - create_job:\n call: googleapis.dataflow.v1b3.projects.locations.templates.create\n args:\n projectId: ${project_id}\n location: ${location}\n body:\n jobName: ${job_name}\n parameters:\n inputFile: ${input_file}\n output: ${output_storage_file_prefix}\n environment:\n numWorkers: 1\n maxWorkers: 2\n zone: ${zone}\n tempLocation: ${temp_location}\n gcsPath: ${template_path}\n - delete_bucket_object1:\n call: googleapis.storage.v1.objects.delete\n args:\n bucket: ${bucket_name}\n object: ${\"counts-00000-of-00003\"}\n - delete_bucket_object2:\n call: googleapis.storage.v1.objects.delete\n args:\n bucket: ${bucket_name}\n object: ${\"counts-00001-of-00003\"}\n - delete_bucket_object3:\n call: googleapis.storage.v1.objects.delete\n args:\n bucket: ${bucket_name}\n object: ${\"counts-00002-of-00003\"}\n - delete_bucket:\n call: googleapis.storage.v1.buckets.delete\n args:\n bucket: ${bucket_name}\n - the_end:\n return: \"SUCCESS\"\n\nWhat's next\n-----------\n\n\nTo search and filter code samples for other Google Cloud products, see the\n[Google Cloud sample browser](/docs/samples?product=workflows)."]]