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.
Works with: Claude Code (native) · Cursor, Codex CLI (manual)
native: this artifact type is that client's own format
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Install (Claude Code):
cp -r databricks-spark-structured-streaming ~/.claude/skills/- Adoption: 1 repos
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source ↗ · skill:databricks/databricks-spark-structured-streaming
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Measured 2026-08-03 · scorer s5 · how · something wrong here?