# water8394/BigData-Interview

:dart: :star2:[大数据面试题]分享自己在网络上收集的大数据相关的面试题以及自己的答案总结.目前包含Hadoop/Hive/Spark/Flink/Hbase/Kafka/Zookeeper框架的面试题知识总结

Repository: https://github.com/water8394/BigData-Interview
Canonical: https://ross.abutalabs.com/products/bigdata-interview
License Family: other
Topics: bigdata, spark, kafka, hbase, flink, hadoop, hdfs, mapreduce, yarn, interview, interview-questions
Last push: 2021-08-30T09:16:28+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2579, "days_push": 1829, "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 1660, forks 444 (observed 2026-08-28T04:05:18.367143+00:00)

## What it is
A curated collection of big data interview questions with summarized answers, covering Hadoop, Hive, Spark, Flink, HBase, Kafka, and Zookeeper. It is a Chinese-language study resource organized as markdown documents rather than software.

## Use cases
- prepare for a big data engineer interview
- review Hadoop HDFS and Yarn concepts before an interview
- study Spark architecture and shuffle questions
- practice Hive SQL interview questions like TopN per group
- brush up on Kafka and Flink fundamentals
- find common big data framework interview questions with answers

## When to choose
- you are preparing for big data engineering interviews covering Hadoop ecosystem tools
- you want concise Q&A style summaries of Spark, Flink, Kafka, and HBase concepts
- you prefer reading curated interview notes in Chinese

## When to avoid
- you need runnable code, libraries, or tools
- you want up-to-date content, since the repo has not been updated since 2021
- you need English-language learning materials

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation
- domain: big-data, tutorials, developer-tools
- platform: cross-platform
- tags: interview-questions, big-data, hadoop, spark, flink, kafka, hbase, hive, zookeeper, study-notes, chinese

## Member repositories
- water8394/BigData-Interview (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:18.367143+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 2026-08-30T03:44:41.273028+00:00, confidence not recorded.
  - readme: https://github.com/water8394/BigData-Interview (fetched 2026-08-28T04:05:18.367143+00:00, sha 738f00b4f39a)
- Data as of 2026-08-30T08:39:29.467469+00:00.