mitta-screenshot
go-sstables
mitta-screenshot | go-sstables | |
---|---|---|
2 | 4 | |
2 | 255 | |
- | - | |
1.1 | 4.0 | |
about 1 year ago | 2 months ago | |
JavaScript | Go | |
MIT License | Apache License 2.0 |
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.
mitta-screenshot
-
Nomnoml
This could be rewritten to save locally or an endpoint you run: https://github.com/kordless/mitta-screenshot. The code is in background.js. Just fullscreen the graph then click the icon.
-
I want to dive into how to make search engines
Not finished, but the Selenium based crawler works pretty well to combat most blocks: https://github.com/kordless/grub-2.0
For IP blocks, try this: https://github.com/kordless/mitta-screenshot
go-sstables
- GitHub - thomasjungblut/go-sstables: Go library for protobuf compatible sstables, a skiplist, a recordio format and other database building blocks like a write-ahead log. Ships now with an embedded key-value store.
-
I want to dive into how to make search engines
I've never worked on a project that encompasses as many computer science algorithms as a search engine. There are a lot of topics you can lookup in "Information Storage and Retrieval":
- Tries (patricia, radix, etc...)
- Trees (b-trees, b+trees, merkle trees, log-structured merge-tree, etc..)
- Consensus (raft, paxos, etc..)
- Block storage (disk block size optimizations, mmap files, delta storage, etc..)
- Probabilistic filters (hyperloloog, bloom filters, etc...)
- Binary Search (sstables, sorted inverted indexes, roaring bitmaps)
- Ranking (pagerank, tf/idf, bm25, etc...)
- NLP (stemming, POS tagging, subject identification, sentiment analysis etc...)
- HTML (document parsing/lexing)
- Images (exif extraction, removal, resizing / proxying, etc...)
- Queues (SQS, NATS, Apollo, etc...)
- Clustering (k-means, density, hierarchical, gaussian distributions, etc...)
- Rate limiting (leaky bucket, windowed, etc...)
- Compression
- Applied linear algebra
- Text processing (unicode-normalization, slugify, sanitation, lossless and lossy hashing like metaphone and document fingerprinting)
- etc...
I'm sure there is plenty more I've missed. There are lots of generic structures involved like hashes, linked-lists, skip-lists, heaps and priority queues and this is just to get 2000's level basic tech.
- https://github.com/quickwit-oss/tantivy
- https://github.com/valeriansaliou/sonic
- https://github.com/mosuka/phalanx
- https://github.com/meilisearch/MeiliSearch
- https://github.com/blevesearch/bleve
- https://github.com/thomasjungblut/go-sstables
A lot of people new to this space mistakenly think you can just throw elastic search or postgres fulltext search in front of terabytes of records and have something decent. The problem is that search with good rankings often requires custom storage so calculations can be sharded among multiple nodes and you can do layered ranking without passing huge blobs of results between systems.
-
What's the big deal about key-value databases like FoundationDB ands RocksDB?
I highly recommend people comfortable with Go checkout the building blocks at https://github.com/thomasjungblut/go-sstables
This codebase shows how SSTables, WAL, memtables, skiplists, segment files, and plenty of other storage engine components work in a digestible way. Includes a demo database showing how it all comes together.
- Understanding LSM Trees: What Powers Write-Heavy Databases
What are some alternatives?
grub-2.0 - Grub is an AI powered Web crawler.
search-engines - Reviewing alternative search engines
phalanx - Phalanx is a cloud-native distributed search engine that provides endpoints through gRPC and traditional RESTful API.
search-lib - A library of classes which can be used to build a search engine.
pytai - Kaitai Struct: Visualizer and Hex Viewer GUI in Python
sonic - 🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.
hse - HSE: Heterogeneous-memory storage engine
nomnoml - The sassy UML diagram renderer
jina - ☁️ Build multimodal AI applications with cloud-native stack