{"adoption": {"forks": 393, "observed_at": "2026-08-28T04:05:09.389745+00:00", "stars": 1598}, "canonical_url": "https://ross.abutalabs.com/products/fuzhengwei-interview", "card": {"archived": false, "artifact_type": "learning-resource", "description": "Java 面经手册，全书共计 5 章 29 节，417页11.5万字，耗时 4 个月完成。涵盖数据结构、算法逻辑、并发编程、JVM以及简历和互联网大厂面试等内容。", "domain": ["education", "programming-languages", "tutorials"], "enriched": true, "function": ["developer-tools", "documentation"], "health_score": 20, "homepage": "https://bugstack.cnhttps://download.csdn.net/download/Yao__Shun__Yu/14932325", "language": "Java", "license": null, "license_family": "other", "maturity": "maintenance", "member_repos": ["fuzhengwei/interview"], "name": "fuzhengwei/interview", "platform": ["jvm"], "pushed_at": "2023-02-24T03:12:37+00:00", "repo": "fuzhengwei/interview", "stars": 1598, "tags": ["interview-preparation", "java", "ebook", "data-structures", "jvm", "concurrency", "career", "algorithms"], "topics": ["interview", "java"], "urls": [], "use_cases": ["prepare for Java backend interviews at big tech companies", "understand HashMap internals and hash functions", "learn data structures like red-black trees and 2-3 trees with Java examples", "study Java concurrency and JVM fundamentals", "get guidance on writing a resume and interviewing", "deepen understanding of Java core API source code"], "what_it_is": "A free Chinese-language PDF book (5 chapters, 29 sections, ~417 pages) covering Java interview topics including data structures, algorithms, concurrency, JVM, and resume/interview advice, with accompanying source code examples. It is a learning resource rather than runnable software.", "when_to_avoid": ["you need a runnable library or tool rather than educational material", "you cannot read Chinese", "you need up-to-date coverage of the latest Java versions or interview trends"], "when_to_choose": ["you are a Java developer with 1-3 years of experience preparing for interviews", "you want theory paired with runnable Java source code experiments", "you prefer a structured book format covering data structures, algorithms, JVM, and concurrency in one place"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/fuzhengwei-interview", "repo": "fuzhengwei/interview", "role": "main", "score": 32}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:05:09.389745+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T03:53:16.614645+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "a0e417622c975cd546ce08818137dc8df86b8a8413c7b39aeb156401f3369301", "fetched_at": "2026-08-28T04:05:09.389745+00:00", "kind": "readme", "missing": false, "url": "https://github.com/fuzhengwei/interview"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:05:09.389745+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T03:53:16.614645+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "a0e417622c975cd546ce08818137dc8df86b8a8413c7b39aeb156401f3369301", "fetched_at": "2026-08-28T04:05:09.389745+00:00", "kind": "readme", "missing": false, "url": "https://github.com/fuzhengwei/interview"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T03:53:16.614645+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "a0e417622c975cd546ce08818137dc8df86b8a8413c7b39aeb156401f3369301", "fetched_at": "2026-08-28T04:05:09.389745+00:00", "kind": "readme", "missing": false, "url": "https://github.com/fuzhengwei/interview"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:05:09.389745+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:05:09.389745+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:05:09.389745+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T03:53:16.614645+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "a0e417622c975cd546ce08818137dc8df86b8a8413c7b39aeb156401f3369301", "fetched_at": "2026-08-28T04:05:09.389745+00:00", "kind": "readme", "missing": false, "url": "https://github.com/fuzhengwei/interview"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:05:09.389745+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:05:09.389745+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T03:53:16.614645+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "a0e417622c975cd546ce08818137dc8df86b8a8413c7b39aeb156401f3369301", "fetched_at": "2026-08-28T04:05:09.389745+00:00", "kind": "readme", "missing": false, "url": "https://github.com/fuzhengwei/interview"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:05:09.389745+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:05:09.389745+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:05:09.389745+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T03:53:16.614645+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "a0e417622c975cd546ce08818137dc8df86b8a8413c7b39aeb156401f3369301", "fetched_at": "2026-08-28T04:05:09.389745+00:00", "kind": "readme", "missing": false, "url": "https://github.com/fuzhengwei/interview"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:05:09.389745+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:05:09.389745+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T03:53:16.614645+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "a0e417622c975cd546ce08818137dc8df86b8a8413c7b39aeb156401f3369301", "fetched_at": "2026-08-28T04:05:09.389745+00:00", "kind": "readme", "missing": false, "url": "https://github.com/fuzhengwei/interview"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T03:53:16.614645+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "a0e417622c975cd546ce08818137dc8df86b8a8413c7b39aeb156401f3369301", "fetched_at": "2026-08-28T04:05:09.389745+00:00", "kind": "readme", "missing": false, "url": "https://github.com/fuzhengwei/interview"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T03:53:16.614645+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "a0e417622c975cd546ce08818137dc8df86b8a8413c7b39aeb156401f3369301", "fetched_at": "2026-08-28T04:05:09.389745+00:00", "kind": "readme", "missing": false, "url": "https://github.com/fuzhengwei/interview"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T03:53:16.614645+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "a0e417622c975cd546ce08818137dc8df86b8a8413c7b39aeb156401f3369301", "fetched_at": "2026-08-28T04:05:09.389745+00:00", "kind": "readme", "missing": false, "url": "https://github.com/fuzhengwei/interview"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 100, "rhythm": 35}, "computed_at": "2026-09-02T17:46:02.011165+00:00", "flags": ["no_releases", "no_license"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 2227, "days_push": 1286, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 32, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}