# lw-lin/CoolplaySpark

酷玩 Spark: Spark 源代码解析、Spark 类库等

Repository: https://github.com/lw-lin/CoolplaySpark
Canonical: https://ross.abutalabs.com/products/coolplayspark
Language: Scala
License Family: other
Topics: spark, spark-streaming, structured-streaming, sparkcore, apache-spark
Last push: 2022-05-18T08:55:54+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": 3926, "days_push": 1568, "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 3474, forks 1377 (observed 2026-08-28T04:08:06.078248+00:00)

## What it is
A curated collection of Apache Spark source code deep-dive articles and Spark-related resources, written primarily in Chinese. It covers Spark Streaming (Spark 1.x) and Structured Streaming (Spark 2.x) internals plus community resource lists.

## Use cases
- understand how Spark Streaming works internally
- learn Structured Streaming source code
- find Spark Summit talks and learning resources
- deep dive into Spark core internals
- study stream processing engine implementation

## When to choose
- you want to understand Spark's internal implementation, not just use its API
- you prefer Chinese-language explanations of Spark internals
- you're preparing for Spark performance tuning or debugging at the source level

## When to avoid
- you need a runnable Spark library or tool rather than reading material
- you need English-only documentation
- you need up-to-date coverage of Spark 3.x features

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: streaming, developer-tools, documentation
- domain: big-data, microservices, tutorials, developer-tools
- platform: jvm, python
- tags: apache-spark, spark-streaming, structured-streaming, source-code-analysis, scala, chinese-language

## Member repositories
- lw-lin/CoolplaySpark (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:06.078248+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 2026-08-29T18:36:33.417390+00:00, confidence not recorded.
  - readme: https://github.com/lw-lin/CoolplaySpark (fetched 2026-08-28T04:08:06.078248+00:00, sha cecc2183ac40)
- Data as of 2026-08-30T08:39:29.467469+00:00.