--- title: Structured Spark Streaming with Delta Lake: A... description: A recap of a webinar by Scott Haines (Nike) and Bartosz Konieczny on using Apache Spark Structured Streaming with Delta Lake tables. Covers reader and writer... canonical: https://daily.dev/posts/structured-spark-streaming-with-delta-lake-a-comprehensive-guide-okdeye4xp twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Structured Spark Streaming with Delta Lake: A Comprehensive Guide | daily.dev og:description: A recap of a webinar by Scott Haines (Nike) and Bartosz Konieczny on using Apache Spark Structured Streaming with Delta Lake tables. Covers reader and writer... og:url: https://daily.dev/posts/structured-spark-streaming-with-delta-lake-a-comprehensive-guide-okdeye4xp og:image: https://api.daily.dev/og/posts/okDEYE4XP.png og:image:alt: Structured Spark Streaming with Delta Lake: A Comprehensive Guide og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Structured Spark Streaming with Delta Lake: A Comprehensive Guide **[Delta Lake Blog](https://daily.dev/sources/delta-lake)** · 5 min read · 0 upvotes · 0 comments ## Summary A recap of a webinar by Scott Haines (Nike) and Bartosz Konieczny on using Apache Spark Structured Streaming with Delta Lake tables. Covers reader and writer APIs, microbatch sizing options, differences from changelog-based systems like Kafka, schema validation and evolution (additive vs non-additive), checkpoint conventions, idempotent multi-table writes, and considerations around backfilling data and building data trust across teams. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What happens when Delta Lake streaming source detects an additive schema change? The streaming query stops even though additive schema changes are retro-compatible, requiring you to manually resume it. This prevents an eventual schema change from propagating unexpectedly downstream, giving you a chance to review the change before continuing the stream. _daily.dev surfaces practical Delta Lake schema evolution guidance for engineers building streaming pipelines._ ### What is the default rate limit for files when streaming from a Delta table with Spark Structured Streaming? The default rate limit is 1000 files per microbatch. You can alternatively size microbatches by bytes, but the maximum bytes setting acts as a threshold rather than a hard exact limit, so batches may vary slightly around that target. _Engineers tuning Spark streaming throughput can track these configuration details on daily.dev._ ### Does Delta Lake behave like Kafka when starting a streaming query without a specified starting version? No, unlike changelog-based systems such as Kafka, Delta Lake returns the latest snapshot version of each row by default when a streaming query starts without an explicit starting version, rather than replaying every historical change event. _daily.dev helps data engineers compare streaming semantics across Delta Lake and messaging systems like Kafka._ ## Similar posts on daily.dev - [From Batch to Micro-Batch Streaming: Lessons Learned the Hard Way in a Delta Index Pipeline](https://daily.dev/posts/from-batch-to-micro-batch-streaming-lessons-learned-the-hard-way-in-a-delta-index-pipeline-wdc2knjc0) · InfoQ · 0 upvotes · 0 comments - [Delta Lake Explained: Boost Data Reliability in Cloud Storage](https://daily.dev/posts/delta-lake-explained-boost-data-reliability-in-cloud-storage-oechbmvm4) · databricks · 0 upvotes · 0 comments - [Why Batch ELT Breaks at Enterprise Scale](https://daily.dev/posts/why-batch-elt-breaks-at-enterprise-scale-2uoypymjg) · Confluent Blog · 0 upvotes · 0 comments - [Advancing the Open Lakehouse with Apache Spark, the Delta Kernel, and the new UC Delta APIs](https://daily.dev/posts/advancing-the-open-lakehouse-with-apache-spark-the-delta-kernel-and-the-new-uc-delta-apis-dbaazlwws) · Delta Lake Blog · 0 upvotes · 0 comments - [Apache Iceberg vs Delta Lake: Choosing the Right Table Format](https://daily.dev/posts/apache-iceberg-vs-delta-lake-choosing-the-right-table-format-vtnia2ems) · BigData Boutique blog · 7 upvotes · 0 comments --- Tags: [#data-engineering](https://daily.dev/tags/data-engineering), [#apache-spark](https://daily.dev/tags/apache-spark) [View this post on daily.dev](https://daily.dev/posts/structured-spark-streaming-with-delta-lake-a-comprehensive-guide-okdeye4xp) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Structured Spark Streaming with Delta Lake: A Comprehensive Guide","url":"https://daily.dev/posts/structured-spark-streaming-with-delta-lake-a-comprehensive-guide-okdeye4xp","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/structured-spark-streaming-with-delta-lake-a-comprehensive-guide-okdeye4xp"},"datePublished":"2026-08-16T08:53:24.805Z","dateModified":"2026-08-16T08:54:50.524Z","description":"A recap of a webinar by Scott Haines (Nike) and Bartosz Konieczny on using Apache Spark Structured Streaming with Delta Lake tables. 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