Searchkick
Toshi
Searchkick | Toshi | |
---|---|---|
10 | 12 | |
6,394 | 4,118 | |
- | 0.4% | |
7.3 | 6.1 | |
25 days ago | 4 months ago | |
Ruby | Rust | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Searchkick
- Searchkick: Intelligent Search Made Easy
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Most performant way to build an analytics dashboard from a relational database backend that only stores numeric values, where the data the end-user sees is "categorized" into numeric brackets (e.g. 60-79 = Med, 80-100 = High, etc)
I run a large scale production application that does something along these lines. If the data needs to be close to real-time, I'd say use `searchkick` + Elasticsearch, and use `searchkick`'s async feature to "stream" the data from your table to the ES index. Your dashboard will then just query from the ES index via searchkick.
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Postgres Full Text Search vs. the Rest
You're right, that's actually what we implemented, application-level hooks, but they needed development and maintenance effort that come for free with the adapter we're using for OpenSearch integration, which also comes with welcome features: synonyms, partial matches, and many others.
Spoiler, the adapter is Searchkick: https://github.com/ankane/searchkick
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Full-text Search with Elasticsearch in Rails
Searchkick
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How does elasticsearch work with a rails app that's already connected to a MySQL database.
Normally for Rails applications you would use a gem like searchkick since it greatly reduces the initial Elasticsearch complexity.
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Building a Workflow for Async Searchkick Reindexing
We lean heavily on Elasticsearch at CompanyCam. One of it's primary use cases is serving our highly filterable project feed. It is incredibly fast, even when you apply multiple filters to your query and are searching a largish data set. Our primary interface for interacting with Elasticsearch is using the Searchkick gem. Searchkick is a powerhouse and provides so many features out of the box. One place where we bump up against the edges is when trying to reindex a large collection.
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Swapping Elasticsearch for Meilisearch in Rails feat. Docker
Convinced? Ok read on and I’ll show you what switching from Elasticsearch to Meilisearch looked like for a real production app — ScribeHub. We also moved from Ankane’s excellent Searchkick gem to the first party meilisearch-rails gem and I’ll show you the changes there as well.
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Searching/Querying with Active Record Encryption
If you want to use a look-aside pattern (like you might have used with Searchkick + Elasticsearch), you should check out ActiveStash: https://github.com/cipherstash/activestash
- Full Text Searching in a MySQL database via rails.
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ransack VS Searchkick - a user suggested alternative
2 projects | 12 Aug 2021
Searchkick learns what your users are looking for. As more people search, it gets smarter and the results get better. It’s friendly for developers - and magical for your users. BONUS: it's written and supported by "ankane" who has flawless reputation amongst the Ruby community.
Toshi
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Tantivy 0.20 is released: Schemaless column store, Schemaless aggregations, Phrase prefix queries, Percentiles, and more...
I don't think you have an active project that addresses all those use cases. There was an attempt in Rust with Toshi that is built on top of tantivy, but the project seems to have stalled.
- An alternative to Elasticsearch that runs on a few MBs of RAM
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Postgres Full Text Search vs. the Rest
I wish we had an extension like ZomboDB but using a lighter search engine like https://github.com/quickwit-oss/quickwit, https://github.com/toshi-search/Toshi and https://github.com/mosuka/bayard
Here I'm listing engines based on https://github.com/quickwit-oss/tantivy - tantivy is comparable to Lucene in its scope - but I'm sure there are other engines that could tackle ElasticSearch.
Another thing that could happen is maybe directly embed tantivy in Postgres using an extension, perhaps this could be an option too.
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Ask HN: Does anybody still use bookmarking services?
I do something similar, though I index the page myself via a little browser extension I wrote. I click a button, the content gets POSTed to a server that throws it in Toshi[1]. I hacked it together on a Saturday, and it's been pretty handy; as you describe, much more useful than any bookmarking approach I've tried before.
[1] https://github.com/toshi-search/Toshi
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*set Edge as default browser*
There is some incredible work being done in the web department, frameworks like rocket.rs and actix.rs are amazing. To get the latest info on web development in Rust, check arewewebyet.org. It doesn't list Toshi though, which is weird.
- Zinc Search engine. A lightweight alternative to elasticsearch that requires minimal resources, written in Go.
- Zinc Search engine. A lightweight alternative to Elasticsearch written in Go
- AWS releases forked Elasticsearch code. Announces new name: OpenSearc
What are some alternatives?
chewy - High-level Elasticsearch Ruby framework based on the official elasticsearch-ruby client
elasticsearch-rs - Official Elasticsearch Rust Client
ransack - Object-based searching.
MeiliSearch - A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
Elasticsearch Rails - Elasticsearch integrations for ActiveModel/Record and Ruby on Rails
narg - A tool to generate LC/AP formulas for a given seed in Noita.
pg_search - pg_search builds ActiveRecord named scopes that take advantage of PostgreSQL’s full text search
sonic - 🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.
Sunspot - Solr-powered search for Ruby objects
lnx - ⚡ Insanely fast, 🌟 Feature-rich searching. lnx is the adaptable, typo tollerant deployment of the tantivy search engine.
elasticsearch-ruby - Ruby integrations for Elasticsearch
OpenSearch - 🔎 Open source distributed and RESTful search engine.