A 3-day bug hunt on a 3-person team costs up to β¬7,200 in lost engineering time. This workshop teaches you to prevent that β unit tests, data tests, and integration tests for PySpark and Databricks Lakeflow, including Spark Declarative Pipelines.
Spark 2.2.0 brought the change of structured streaming state. Between 2.0 and 2.2.0 it was marked as "alpha". But the last version changed this status to General Availability. It's so a good moment to start to play with this new feature - even if some basics have already been covered in the post about structured streaming. This time we'll go deeper and analyze the integration with Apache Kafka that will be helpful to
The error quoted in the title of this post is quite common when you want to copy conception logic from Spark DStream/RDD to Spark structured streaming. This post makes some insight on it.
Some time ago I got 3 interesting questions about the implementation of Apache Kafka connector in Apache Spark Structured Streaming. I will answer them in this post.
