範例 Airflow DAG，用於建立 Cloud Bigtable 並執行以下操作： - 建立執行個體 - 建立表格 - 更新叢集 - 等待表格複寫完成 - 刪除表格 - 刪除執行個體
此 DAG 依賴以下環境變數
模組內容
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tests.system.google.cloud.bigtable.example_bigtable.ENV_ID[原始碼]
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tests.system.google.cloud.bigtable.example_bigtable.PROJECT_ID[原始碼]
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tests.system.google.cloud.bigtable.example_bigtable.DAG_ID = 'bigtable'[原始碼]
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tests.system.google.cloud.bigtable.example_bigtable.CBT_INSTANCE_ID_BASE[原始碼]
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tests.system.google.cloud.bigtable.example_bigtable.CBT_INSTANCE_ID_1[原始碼]
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tests.system.google.cloud.bigtable.example_bigtable.CBT_INSTANCE_ID_2[原始碼]
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tests.system.google.cloud.bigtable.example_bigtable.CBT_INSTANCE_DISPLAY_NAME = 'instance-name'[原始碼]
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tests.system.google.cloud.bigtable.example_bigtable.CBT_INSTANCE_DISPLAY_NAME_UPDATED[原始碼]
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tests.system.google.cloud.bigtable.example_bigtable.CBT_INSTANCE_TYPE[原始碼]
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tests.system.google.cloud.bigtable.example_bigtable.CBT_INSTANCE_TYPE_PROD[原始碼]
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tests.system.google.cloud.bigtable.example_bigtable.CBT_INSTANCE_LABELS: dict[str, str][原始碼]
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tests.system.google.cloud.bigtable.example_bigtable.CBT_INSTANCE_LABELS_UPDATED[原始碼]
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tests.system.google.cloud.bigtable.example_bigtable.CBT_CLUSTER_ID = 'bigtable-cluster-id'[原始碼]
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tests.system.google.cloud.bigtable.example_bigtable.CBT_CLUSTER_ZONE = 'europe-west1-b'[原始碼]
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tests.system.google.cloud.bigtable.example_bigtable.CBT_CLUSTER_NODES = 3[原始碼]
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tests.system.google.cloud.bigtable.example_bigtable.CBT_CLUSTER_NODES_UPDATED = 5[原始碼]
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tests.system.google.cloud.bigtable.example_bigtable.CBT_CLUSTER_STORAGE_TYPE[原始碼]
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tests.system.google.cloud.bigtable.example_bigtable.CBT_TABLE_ID = 'bigtable-table-id'[原始碼]
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tests.system.google.cloud.bigtable.example_bigtable.CBT_POKE_INTERVAL = 60[原始碼]
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tests.system.google.cloud.bigtable.example_bigtable.create_instance_task[原始碼]
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tests.system.google.cloud.bigtable.example_bigtable.test_run[原始碼]