# databricks/Spark-The-Definitive-Guide

Spark: The Definitive Guide's Code Repository

Repository: https://github.com/databricks/Spark-The-Definitive-Guide
Canonical: https://ross.abutalabs.com/products/spark-the-definitive-guide
Homepage: http://shop.oreilly.com/product/0636920034957.do
Language: Scala
License: NOASSERTION
License Family: other
Last push: 2020-08-26T08:17:35+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3397, "days_push": 2198, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3144, forks 2905 (observed 2026-08-28T04:07:45.914412+00:00)

## What it is
The official code repository for the book 'Spark: The Definitive Guide' by Bill Chambers and Matei Zaharia, containing example code and datasets organized by chapter and language. It is a companion learning resource for Apache Spark, runnable locally or on Databricks notebooks.

## Use cases
- learn apache spark from scratch
- find example code for spark dataframes and sql
- run spark book examples on databricks
- study structured streaming and mllib examples
- get sample datasets for practicing spark

## When to choose
- you are reading Spark: The Definitive Guide and want its code
- you want runnable Spark examples in Scala and Python
- you want sample datasets to practice Spark locally or on Databricks

## When to avoid
- you need a production Spark library or framework
- you want up-to-date examples for the latest Spark versions
- you need a maintained tool rather than book companion material

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: data-science, etl, developer-tools
- domain: big-data, tutorials
- platform: jvm, python, cross-platform
- tags: apache-spark, book-code, databricks, scala, pyspark, notebooks, data-engineering

## Member repositories
- databricks/Spark-The-Definitive-Guide (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:45.914412+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:25:59.471521+00:00, confidence not recorded.
  - readme: https://github.com/databricks/Spark-The-Definitive-Guide (fetched 2026-08-28T04:07:45.914412+00:00, sha 4c08062590d5)
- Data as of 2026-08-30T08:39:29.467469+00:00.