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A Comprehensive Guide to Using Delta Lake with Spark Structured Streaming

Delta table streaming reads and writes ๐Ÿ”—

The text provides a comprehensive overview of using Delta Lake with Spark Structured Streaming for reading and writing. It covers topics such as using Delta tables as sources and sinks, limiting input rate, streaming change data capture (CDC), handling updates and deletes, specifying initial position, processing initial snapshot, metrics, append mode, complete mode, stream-static joins, upserts using foreachBatch, and idempotent table writes. It also includes examples and important considerations for each topic.

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