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🧱 Workflows & Jobs

Databricks Jobs, Tasks, Dependencies va monitoring

Databricks Data Engineer · DE-Associate · ⏱️ 18 min · ❓ 4 savol

⚙️ Databricks Jobs

Job — bir yoki bir nechta task lardan iborat workflow. Trigger: Manual, Scheduled (cron), File arrival, Continuous. Task types: Notebook, Python script, Spark submit, SQL, DLT pipeline, dbt.

🔗 Task Dependencies

Task lar orasida dependency chain: Directed Acyclic Graph (DAG). Task muvaffaqiyatli tugagach keyingi task boshlanadi. On success, On failure, On completion trigger. Task values — tasklar orasida ma'lumot uzatish (`dbutils.jobs.taskValues`).

📊 Job Monitoring

Job Run history, logs, duration. Email notifications: success, failure, timeout. Webhook notifications: Slack, PagerDuty. Job Repair — muvaffaqiyatsiz task ni qayta ishga tushirish (boshidan emas). Retry policy.
💡 Asosiy nuqtalar
🎯 Imtihon maslahatlari
⚠️ Ko'p adashadigan
🧠 Eslab qolish: "Jobs = DAG of Tasks": D (Dependencies), A (Actions/types), G (Graph order). "REPAIR = Resume from failure, not Restart from zero"

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