Spark monitoring articles

4-day workshop · In-person or online

What would it take for you to trust your Databricks pipelines in production?

A 3-day bug hunt on a 3-person team costs up to €7,200 in lost engineering time. This workshop teaches you to prevent that — unit tests, data tests, and integration tests for PySpark and Databricks Lakeflow, including Spark Declarative Pipelines.

Unit, data & integration tests
Medallion architecture & Lakeflow SDP
Max 10 participants · production-ready templates
See the full curriculum → €7,000 flat fee · cohort of up to 10
Bartosz Konieczny
Bartosz
Konieczny

Query metrics in Apache Spark Structured Streaming

One of important points for long-living queries is the tracking. It's always important to know how the query performs. In Structured Streaming we can follow this execution thanks to special object called ProgressReporter.

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