Unlocking the Power of Databricks SDK Serge Smertin, Practice Lead, Engineering, Databricks

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©2022 Databricks Inc. — All rights reserved 3 About Serge ▪ Using Apache Spark since ~2015 ▪ At Databricks since 2019 ▪ Created Databricks Terraform Provider ▪ Author of Databricks SDKs ▪ Years in cybersecurity and payments before that

Databricks REST APIs

5 540 methods across 80 services 10 auth types Across 3 clouds 300 URLs Across 2 endpoints (Account APIs and Workspace APIs) 73 iterators Across 7 different pagination types

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Databricks Software Development Kits

2. Complete 3. Consistent 4. Unified Authentication 5. Minimal dependencies

9 10 OSS projects 5 Databricks products so far 1.5M downloads per week C#, R, Rust Coming in Databricks Labs 3 core SDK Python, Go, Java

1 Integrate with the established ecosystem Advanced workflow orchestration straight from notebooks Build more tools - small and large Data Engineering doesn’t end within the workspace, but has to be integrated into an existing web application, which is written in Java or Python. Python SDK is the perfect utility for building advanced workflows. Administrators and Site Reliability Engineers often need to automate their work - either through shell scripts or Kubernetes extensions.

1 Create workspaces, catalogs, metastores Enforce permissions for data and workspace objects Guarantee environment portability across dev/staging/prod One of the components for disaster recovery Terrafor m Integrate with the existing deployment systems Create custom workflows around Databricks using your favorite programming language Create new web services that call Databricks APIs - it’s now easier with OAuth Use in the OSS projects SDK Ad-hoc experimentation Shell one-liners Managing local authentication profiles Deploying projects with Application Bundles Synchronising notebooks from IDE to Databricks Workspace CLI

12 Designed to work with IDE: Autocompletion, Service discovery, Documentation

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Databricks Connect V2 Terraform Provider VSCode Extension Open-Source Ecosystem Other enterprise apps 1 Public Docs Python SDK Java SDK JavaScript SDK C#, R, Rust … CLI Go SDK Databricks SDK Generator API SPECIFICATION Testing and example verification infrastructure

1 Python SDK: same code just works in notebook, IDE, and CI/CD setup!

Development Production or CI Authenticate through environment variables. Leverage Kubernetes secrets and/or CI runner secret redaction. Authenticate through Databricks CLI, Azure CLI, Visual Studio Code, or in Databricks Notebooks. $ az login $ databricks auth login $ export DATABRICKS_HOST=... $ export ARM_CLIENT_ID=... $ export ARM_TENANT_ID=... $ export ARM_CLIENT_SECRET=... $ python3 run-app.py from databricks.sdk import WorkspaceClient w = WorkspaceClient()

Want to use SSO with webapps? Easy! You just need a way to store credentials in a session. SDK will help with the rest.

Consistent iteration interfaces

1 Iterators Focus on iterating 73 different entities, not 7 different pagination types

2 Long Running Operations

2 Long running operations Repetitive code pre-generated for you

Logging Safely and conveniently debug your API requests, when you troubleshoot. With secret values redacted away. Multi-threading friendly.

dbutils Call Databricks Utilities natively outside of notebooks

# Go $ go get github.com/databricks/databricks-sdk-go@latest # Python $ pip install databricks-sdk # Java com.databricks databricks-sdk-java 0.1.0

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