展示HN：SeaSearch – 轻量级的、基于S3的多租户搜索引擎
嗨，HN，我是Daniel，Seafile的联合创始人。
我很高兴能分享我们的开源项目SeaSearch，这是一个用Go语言编写的搜索引擎（基于ZincSearch），我们已经在Seafile项目中运行了超过两年。
经过多年的使用Elasticsearch，我们认为Elasticsearch存在两个主要问题：
1. 它不够轻量，维护集群困难。
2. 所有Seafile租户的数据都存储在一个单一的索引中，在一个库中搜索文件速度较慢，因为需要搜索整个索引。
三年前，我们开始开发解决这两个问题的方案。我们没有从头开始构建搜索引擎，而是基于ZincSearch进行开发，ZincSearch是用Go语言实现的，具有更小的运行时占用，并且兼容Elasticsearch API，但在这个过程中我们发现它仍然缺少一些东西。
现在，我们已经开源了SeaSearch，并包含了我们所需的组件：
- S3支持的存储：索引数据存储在S3中。计算节点共享相同的后端，使得扩展/故障转移变得瞬时（无需数据复制）。
- 智能缓存：使用本地磁盘缓存不可变段，尽管有S3后端，仍能保持快速。
- 兼容ES API：作为大多数Elasticsearch查询端点的替代品。
- 轻量级Go运行时：没有JVM开销。
- 向量搜索：内置支持HNSW/IVFPQ进行混合语义搜索。
希望这能帮助那些在构建多租户SaaS应用时遇到类似问题的开发者。期待你们的反馈。
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Hi HN, I'm Daniel, co-founder of Seafile.<p>I'm glad to share our open-sourcing project SeaSearch, a search engine written in Go (built on ZincSearch) that we’ve been running in production for over two years for Seafile project.<p>After years of using Elasticsearch, we think there are two main problems with Elasticsearch:<p>It is not lightweight and hard to maintain a cluster<p>All of seafile tenants' data was stored in a single index and it is slow to search a file in a single library because the whole index need to be searched<p>Three years ago, we started developing a solution to solve the two problems. Rather than building a search engine from scratch, we built on top of ZincSearch, that is implemented in Go rather than JVM with a smaller runtime footprint and has Elasticsearch API compatibility, but it was still missing something that we get to find out along the way.<p>We have now open-sourced SeaSearch with the pieces we needed:<p>S3-backed Storage: Index data lives in S3. Compute nodes share the same backend, making scaling/failover instant (no data replication needed).<p>Smart Caching: Uses a local disk cache for immutable segments to keep things fast despite the S3 backend.<p>ES API Compatible: Works as a drop-in replacement for most Elasticsearch query endpoints.<p>Lightweight Go Runtime: No JVM overhead.<p>Vector Search: Built-in support for HNSW/IVFPQ for hybrid semantic search.<p>Hope this helps fellow devs who are stuck in this problem when building multi-tenant SaaS applications. Looking forward to your responses.