greptimedb-performance-tuning
greptimedb-performance-tuning is a Databases & SQL skill for AI agents, published by GreptimeTeam in the docs repository on GitHub. Skillspace rates greptimedb-performance-tuning D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Guide for tuning GreptimeDB server config and table options for better performance — cache sizing, write buffer, WAL, and ingestion throughput. Use when the user wants to speed up queries or writes, reduce object-store reads, fix write stalls/rejects, or right-size caches and the write buffer. Triggers on phrases like "tune performance", "性能调优", "increase cache", "调大缓存", "page cache / write cache", "write buffer", "写缓冲", "global_write_buffer_size", "disable WAL", "关闭 WAL", "improve write throughput", "提升写入吞吐", "batch writes". For schema/table changes (primary key, indexes, partitioning) use greptimedb-table-design; to first find the bottleneck use greptimedb-performance-diagnosis.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 50
Unproven: rated by static analysis only, not yet compared head-to-head.
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Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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