Databricks Spark Structured Streaming

by databrickse77e37e8a4daNo license345 starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated today

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.

Only the file list is public. File contents are available once the skill is installed in a workspace.

PathSizeType
agents/openai.yaml414 Bapplication/yaml
assets/databricks.png15 KBimage/png
assets/databricks.svg582 Btext/plain
references/checkpoint-best-practices.md8.4 KBtext/markdown
references/kafka-streaming.md16 KBtext/markdown
references/lakebase-sink-python.md20.6 KBtext/markdown
references/merge-operations.md10.7 KBtext/markdown
references/multi-sink-writes.md12.6 KBtext/markdown
references/real-time-mode.md18.8 KBtext/markdown
references/stateful-operations.md11.7 KBtext/markdown
references/streaming-best-practices.md9.4 KBtext/markdown
references/stream-static-joins.md13.9 KBtext/markdown
references/stream-stream-joins.md16.5 KBtext/markdown
references/trigger-and-cost-optimization.md13.6 KBtext/markdown
SKILL.md3.7 KBtext/markdown

Source and attribution

Source:databricks/databricks-agent-skillsinplugins/databricks/claude/skills/databricks-spark-structured-streamingat commite77e37e

License: No license

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