Konektor untuk Dataflow
Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
Konektor Workflows yang menentukan fungsi bawaan yang digunakan untuk mengakses Dataflow dalam alur kerja.
Mempelajari lebih lanjut
Untuk dokumentasi mendetail yang menyertakan contoh kode ini, lihat artikel berikut:
Contoh kode
Kecuali dinyatakan lain, konten di halaman ini dilisensikan berdasarkan Lisensi Creative Commons Attribution 4.0, sedangkan contoh kode dilisensikan berdasarkan Lisensi Apache 2.0. Untuk mengetahui informasi selengkapnya, lihat Kebijakan Situs Google Developers. Java adalah merek dagang terdaftar dari Oracle dan/atau afiliasinya.
[[["Mudah dipahami","easyToUnderstand","thumb-up"],["Memecahkan masalah saya","solvedMyProblem","thumb-up"],["Lainnya","otherUp","thumb-up"]],[["Sulit dipahami","hardToUnderstand","thumb-down"],["Informasi atau kode contoh salah","incorrectInformationOrSampleCode","thumb-down"],["Informasi/contoh yang saya butuhkan tidak ada","missingTheInformationSamplesINeed","thumb-down"],["Masalah terjemahan","translationIssue","thumb-down"],["Lainnya","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)."]]