databricks-spark-structured-streaming
Comprehensive guide to Spark Structured Streaming for production workloads. Use when building streaming pipelines, working with Kafka ingestion, implementing Real-Time Mode (RTM), configuring triggers (processingTime, availableNow), handling stateful operations with watermarks, optimizing checkpoints, performing stream-stream or stream-static joins, writing to multiple sinks, or tuning streaming cost and performance.
v1.0.0New
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Install this skill
Run this command in your terminal. No account required — it auto-detects your AI tool and installs the skill file.
npx @skills-hub-ai/cli install databricks-solutions-databricks-spark-structured-streamingOr download directly:
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Install
One-click setup for your editorRun in your project root
npx @skills-hub-ai/cli install databricks-solutions-databricks-spark-structured-streaming --target claude-codeInstructions
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