version: 2 models: - name: people columns: - name: account_id tests: - relationships: to: ref('accounts') # 通过ref 引用模型 field: id 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24. 25. 26. 27. 28. 29. 30. 3...
/* {"app": "dbt", "dbt_version": "1.5.11", "profile_name": "dremio_nessie", "target_name": "dev", "node_id": "model.dremio_demo_app.my_mydemoapp"} */ 1. 内部实现 因为实际的执行是对于实际db 的操作,所以query_header 是在connections 内部处理的 BaseConnectionManager 内部定义 def ...
dbt version: 1.0.1 python version: 3.8.10 python path: /usr/bin/python3 os info: Linux-5.4.0-97-generic-x86_64-with-glibc2.29 Using profiles.yml file at /home/ubuntu/.dbt/profiles.yml Using dbt_project.yml file at /home/ubuntu/jaffle_shop/dbt_project.yml Configuration: profiles.yml f...
name: 'jaffle_shop' config-version: 2 version: '0.1' profile: 'jaffle_shop_tidb' # 注意此处修改 model-paths: ["models"] # model 路径 seed-paths: ["seeds"] # seed 路径 test-paths: ["tests"] analysis-paths: ["analysis"] macro-paths: ["macros"] target-path: "target" clean-targets...
DOCKER_IMAGE_NAME: my-dbt-project GCP_WORKLOAD_IDENTITY_PROVIDER: projects/11111111111/locations/global/workloadIdentityPools/github-actions/providers/github-actions-provider GOOGLE_SERVICE_ACCOUNT: my-service-account@my-gcp-project-name.iam.gserviceaccount.com PYTHON_VERSION: '3.8.12'jobs: dep...
version:2models:-name:my_first_dbt_modeldescription:"A starter dbt model"columns:-name:iddescription:"The primary key for this table"tests:-unique-not_null-name:my_second_dbt_modeldescription:"A starter dbt model"columns:-name:iddescription:"The primary key for this table"tests:-unique-not_...
version: 2 models: - name: zzz_game_details columns: - name: game_id tests: - unique - not_null - name: home tests: - not_null - accepted_values: values: ['Amsterdam', 'San Francisco', 'Seattle'] - name: visitor tests: - not_null - accepted_values: values: ['Amsterdam', 'Sa...
好的,现在问题来了,如何把相对原始的数据处理、建模并导入 NebulaGraph 呢?本文是一个端到端的示例演示,从多数据源聚合数据,清理、利用 dbt 转换成 NebulaGraph 建模的属性图点边记录,最后导入成图谱的全流程。 构建知识图谱 现在假设你是一个类似于 Netflix、爱奇艺之类的视频服务提供商,我们需要利用图数据库...
{"name":"jaffle_shop dbt job","max_concurrent_runs":1,"git_source": {"git_url":"https://github.com/dbt-labs/jaffle_shop","git_provider":"gitHub","git_branch":"main"},"job_clusters": [ {"job_cluster_key":"dbt_CLI","new_cluster": {"spark_version":"10.4.x-photon-scala2.12...
dbt version = 1.4.3 extension version = 0.11.5 Copy link sduck commented Feb 26, 2023 I'm experiencing the exact same error on dbt version 1.4.3. However v1.3.2 works just fine. I've tried with both Python 3.8.6, 3.9.16 and 3.10.10 and all results in the same: an error in...