Entity Framework 6
Typesense
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Entity Framework 6 | Typesense | |
---|---|---|
2 | 129 | |
1,407 | 17,965 | |
0.3% | 4.8% | |
8.3 | 9.8 | |
7 days ago | 3 days ago | |
C# | C++ | |
MIT License | GNU General Public License v3.0 only |
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.
Entity Framework 6
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ASP.NET Performance optimization question
Additionally, an individual context will also cache the actual sql being performed and their docs go over the caching it does here regarding that.
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Ask HN: What tangible benefits did you get from spending time on HN?
Every so often, posts from Bruce Dawson's blog get posted here - one such post was about using Event Tracing for Windows to diagnose an issue with an NTFS lock being held causing 63 cores to idle while 1 does all the work.
https://randomascii.wordpress.com/2019/10/20/63-cores-blocke...
A few months later, some other people in my team were struggling to diagnose an issue in production where a legacy webapp was struggling to scale up and fully use all 64 cores of the server we needed it to run on. I stepped in to help and remembered that post I'd seen on HN. We used ETW (through Windows Performance Recorder and Windows Performance Analyzer) to profile our app and I looked into the Wait Analysis. Turns out that Entity Framework 6 uses a ReaderWriterLockSlim to guard a cache, and that particular lock performs extremely poorly under heavy contention. Heavy in our case meant that for a single page build of one of this app's "hot path" pages, this lock would be taken a few hundred thousand times. We weren't the first to discover this:
https://github.com/dotnet/ef6/issues/1500
What some other people in my team were struggling with for about two weeks was resolved in a single day thanks to me goofing off and reading HN. (We ultimately used a fork of EF6 that didn't suffer from this issue to solve our problem)
Typesense
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Website Search Hurts My Feelings
There are actually plenty of non-ES products that are way easier to integrate and tune (and get better results with less effort).
- Typesense (https://github.com/typesense/typesense)
- Algolia
- Google Programmable Search Engine (https://programmablesearchengine.google.com/about/)
- Remote Machine Learning and Searching on a Raspberry Pi 5
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Open Source alternatives to tools you Pay for
Typesense - Open Source Alternative to Algolia
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DNS record "hn.algolia.com" is gone
If you like your penny take a look at Typesense https://typesense.org/ - nothing to complain here. Especially nothing complain about pricing.
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Vector databases: analyzing the trade-offs
I work on Typesense [1] (historically considered an open source alternative to Algolia).
We then launched vector search in Jan 2023, and just last week we launched the ability to generate embeddings from within Typesense.
You'd just need to send JSON data, and Typesense can generate embeddings for your data using OpenAI, PaLM API, or built-in models like S-BERT, E-5, etc (running on a GPU if you prefer) [2]
You can then do a hybrid (keyword + semantic) search by just sending the search keywords to Typesense, and Typesense will automatically generate embeddings for you internally and return a ranked list of keyword results weaved with semantic results (using Rank Fusion).
You can also combine filtering, faceting, typo tolerance, etc - the things Typesense already had.
[1] https://github.com/typesense/typesense
[2] https://typesense.org/docs/0.25.0/api/vector-search.html
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Creating an advanced search engine with PostgreSQL
For something small with a minimal footprint, I'd recommend Typesense. https://github.com/typesense/typesense
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Obsidian Publish full text search
I haven’t used Publish, but I’d assume you could use something like https://typesense.org/ to index and search the vault.
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DynamoDB search options
A cheaper option would be to use https://typesense.org. You can use DynamoDb streams to automatically load records. It has worked well for me.
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[Guide] A Tour Through the Python Framework Galaxy: Discovering the Stars
Try tigris | typesense for faster search
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Is it worth using Postgres' builtin full-text search or should I go straight to Elastic?
I’m also checking out Typesense as a possibility for replacing Elastic: https://typesense.org/
What are some alternatives?
PetaPoco - Official PetaPoco, A tiny ORM-ish thing for your POCO's
MeiliSearch - A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
Dapper - Dapper - a simple object mapper for .Net [Moved to: https://github.com/DapperLib/Dapper]
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
NHibernate - NHibernate Object Relational Mapper
Apache Solr - Apache Lucene and Solr open-source search software
ServiceStack.OrmLite - Fast, Simple, Typed ORM for .NET
meilisearch-laravel-scout - MeiliSearch integration for Laravel Scout
MockQueryable - Mocking Entity Framework Core operations such ToListAsync, FirstOrDefaultAsync etc
loki - Like Prometheus, but for logs.
LINQ to DB - Linq to database provider.
sonic - 🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.