Agent Skill · Databricks

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.

Provider: Databricks Path in repo: experimental/databricks-spark-structured-streaming/SKILL.md

Skill body

Spark Structured Streaming

Production-ready streaming pipelines with Spark Structured Streaming. This skill provides navigation to detailed patterns and best practices.

Quick Start

from pyspark.sql.functions import col, from_json

# Basic Kafka to Delta streaming
df = (spark
    .readStream
    .format("kafka")
    .option("kafka.bootstrap.servers", "broker:9092")
    .option("subscribe", "topic")
    .load()
    .select(from_json(col("value").cast("string"), schema).alias("data"))
    .select("data.*")
)

df.writeStream \
    .format("delta") \
    .outputMode("append") \
    .option("checkpointLocation", "/Volumes/catalog/checkpoints/stream") \
    .trigger(processingTime="30 seconds") \
    .start("/delta/target_table")

Core Patterns

Pattern Description Reference
Kafka Streaming Kafka to Delta, Kafka to Kafka, Real-Time Mode See references/kafka-streaming.md
Stream Joins Stream-stream joins, stream-static joins See references/stream-stream-joins.md, references/stream-static-joins.md
Multi-Sink Writes Write to multiple tables, parallel merges See references/multi-sink-writes.md
Merge Operations MERGE performance, parallel merges, optimizations See references/merge-operations.md

Configuration

Topic Description Reference
Checkpoints Checkpoint management and best practices See references/checkpoint-best-practices.md
Stateful Operations Watermarks, state stores, RocksDB configuration See references/stateful-operations.md
Trigger & Cost Trigger selection, cost optimization, RTM See references/trigger-and-cost-optimization.md

Best Practices

Topic Description Reference
Production Checklist Comprehensive best practices See references/streaming-best-practices.md

Production Checklist