Connecteur pour Dataflow
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Connecteur de workflows qui définit la fonction intégrée utilisée pour accéder à Dataflow dans un workflow.
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Pour obtenir une documentation détaillée incluant cet exemple de code, consultez les articles suivants :
Exemple de code
Sauf indication contraire, le contenu de cette page est régi par une licence Creative Commons Attribution 4.0, et les échantillons de code sont régis par une licence Apache 2.0. Pour en savoir plus, consultez les Règles du site Google Developers. Java est une marque déposée d'Oracle et/ou de ses sociétés affiliées.
[[["Facile à comprendre","easyToUnderstand","thumb-up"],["J'ai pu résoudre mon problème","solvedMyProblem","thumb-up"],["Autre","otherUp","thumb-up"]],[["Difficile à comprendre","hardToUnderstand","thumb-down"],["Informations ou exemple de code incorrects","incorrectInformationOrSampleCode","thumb-down"],["Il n'y a pas l'information/les exemples dont j'ai besoin","missingTheInformationSamplesINeed","thumb-down"],["Problème de traduction","translationIssue","thumb-down"],["Autre","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)."]]