databricks/learning-spark resource
Example code from Learning Spark book observed · 2026-08-28
Health v2 · maintenance only
73/100
- Activity 90
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 4461
- days_rel: n/a
- days_push: 64
- n_releases_24m: 0
Adoption not part of the score
3893 stars · 2391 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Example code accompanying the O'Reilly 'Learning Spark' book, with implementations in Java, Scala, and Python. The examples target Spark 1.3 and demonstrate core Spark APIs and usage patterns.
Use cases
- learn Apache Spark from book examples
- run sample Spark jobs in Java Scala and Python
- see how to build and submit Spark assemblies with sbt or maven
- follow along with the Learning Spark book exercises
- reference pyspark example scripts
When to choose
- you are reading the Learning Spark book and want runnable code
- you want simple, small examples for learning Spark fundamentals
When to avoid
- you need examples for modern Spark versions or Spark SQL/DataFrame APIs
- you want production-ready Spark application templates
Facets
learning-resource · maturity maintenance
developer-tools data-science etl big-data tutorials jvm python cross-platform apache-spark book-examples scala java pyspark sample-code data-engineering
1 source
- readme: https://github.com/databricks/learning-spark · fetched 2026-08-28 · a433e2e43e99
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| databricks/learning-spark | main | 73 |
For agents
markdown · JSON · MCP: product_card(name="databricks/learning-spark")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem