deepskill

Qdrant 扩容决策

qdrant-scaling

授权

指导 Qdrant 扩容决策。当有人询问“需要多少节点”“一个节点放不下数据”“需要更高吞吐量”“集群很慢”“租户太多”“纵向还是横向扩容”“如何分片”,或“需要增加容量”时使用。

↓ 1 下载 ↗ 0 分享点击

介绍来源: author · github · b6483db44fb602654bca6a097185fcaddb305f97 参考来源

作者原文

Guides Qdrant scaling decisions. Use when someone asks 'how many nodes do I need', 'data doesn't fit on one node', 'need more throughput', 'cluster is slow', 'too many tenants', 'vertical or horizontal', 'how to shard', or 'need to add capacity'.

SkillPi 解读

能完成的任务
Qdrant 扩容决策
适合谁
请按作者原文中的适用场景判断。
输入和输出
以作者完整文档为准;本站未运行验证产物。
软件、账号及付费要求
使用前按完整文档确认软件、账号、费用及权限;由宿主核对并授权实际文件读写和外部服务。文档引用域名(非运行白名单):cloud.qdrant.io, github.com, qdrant.tech, search.qdrant.tech
限制与区别
原文中的功能、版本状态和效果描述属于作者陈述;中文为对应翻译。仅核对固定版本及静态附件证据,不保证运行效果、外部服务或兼容性。
实测状态
未测试

权限与使用前检查

根据当前主文档自动整理,命中内容可能是示例或防护说明;不是实际权限声明,也未覆盖附件、外部依赖或运行行为。

未从主文档识别到上述常见操作,不能据此判断无需权限或没有风险。

本站展示提示不会授予权限。涉及文件改动、密钥、外部发送或费用时,仍由你使用的工具按需确认。

安全评级与访问范围

caution · 静态证据核验,不代表运行安全保证。

使用前按完整文档确认软件、账号、费用及权限;由宿主核对并授权实际文件读写和外部服务。文档引用域名(非运行白名单):cloud.qdrant.io, github.com, qdrant.tech, search.qdrant.tech

使用前请由宿主核对并授权实际文件读写、外部服务和联网目的地;本站的核验不会授予任何运行权限。

原始 SKILL.md

---
name: qdrant-scaling
description: "Guides Qdrant scaling decisions. Use when someone asks 'how many nodes do I need', 'data doesn't fit on one node', 'need more throughput', 'cluster is slow', 'too many tenants', 'vertical or horizontal', 'how to shard', or 'need to add capacity'."
allowed-tools:
  - Read
  - Grep
  - Glob
---

# Qdrant Scaling

First determine what you're scaling for:

- data volume
- query throughput (QPS)
- query latency
- query volume

After determining the scaling goal, we can choose scaling strategy based on tradeoffs and assumptions.
Each pulls toward different strategies. Scaling for throughput and latency are opposite tuning directions.


## Scaling Data Volume

This becomes relevant when volume of the dataset exceeds the capacity of a single node.
Read more about scaling for data volume in [Scaling Data Volume](scaling-data-volume/SKILL.md)


## Scaling for Query Throughput

If your system needs to handle more parallel queries than a single node can handle,
 then you need to scale for query throughput.

Read more about scaling for query throughput in [Scaling for Query Throughput](scaling-qps/SKILL.md)

## Scaling for Query Latency

Latency of a single query is determined by the slowest component in the query execution path.
It is in sometimes correlated with throughput, but not always. It might require different strategies for scaling.

Read more about scaling for query latency in [Scaling for Query Latency](minimize-latency/SKILL.md)


## Scaling for Query Volume

By query volume we understand the amount of results that a single query returns. 
If the query volume is too high, it can cause performance issues and increase latency.

Tuning for query volume is opposite might require special strategies. 

Read more about scaling for query volume in [Scaling for Query Volume](scaling-query-volume/SKILL.md)

版权与许可声明

MIT License

Copyright GitHub, Inc.

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.