Apache Spark (Learning Spark 2nd Ed.)
Exam-tuned Spark cheat-sheet from 'Learning Spark 2nd Ed.' that flags its own 2020 knowledge cutoff.
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Vad den gör
A chapter-indexed knowledge base distilled from 'Learning Spark, 2nd Edition' covering Spark architecture, DataFrame/Dataset APIs, Spark SQL, tuning, and Structured Streaming, tuned for Databricks Associate Developer exam prep. Triggers on Apache Spark / PySpark questions, exam prep, or the book's frameworks; explicitly flags what it does NOT cover (Spark Connect, pandas-on-Spark, post-2020 AQE defaults) since the source book predates them.
Testrapport
On a broadcast-vs-shuffle-join question the skill's join-strategy table covered all 5 real strategies (BHJ/SMJ/SHJ/BNLJ/Cartesian) against a generic baseline that only named 2, and it proactively disclosed its own blind spot ('this book was published in 2020... Spark Connect, Pandas API on Spark, AQE-on-by-default are not covered') rather than silently guessing at post-2020 material.
Testad: 2026-07-16 · Claude Code 2.x (agent harness)
Installation
git clone https://github.com/Galius5136/databricks-spark-3.5-cert-prep cd databricks-spark-3.5-cert-prep mkdir -p ~/.claude/skills cp -r skills/apache-spark ~/.claude/skills/apache-spark
Kommandon och exempelprompter
/apache-sparkExam-tuned Spark cheat-sheet from 'Learning Spark 2nd Ed.' that flags its own 2020 knowledge cutoff.
Skills triggas av vanliga förfrågningar — inga kommandon att memorera. Efter installationen aktiverar prompter som dessa skillen (på engelska):
should I use a broadcast join or shuffle join for this dataset?explain Structured Streaming windowing for the Databricks examhow does Spark's DataFrame API differ from the Dataset API?