bleve
rclone
bleve | rclone | |
---|---|---|
13 | 963 | |
9,674 | 43,840 | |
0.7% | 1.1% | |
8.0 | 9.8 | |
about 13 hours ago | 8 days ago | |
Go | Go | |
Apache License 2.0 | 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.
bleve
-
Hermes v1.7
I don't have the answer to that, but the project has been alive for many years. Seems maybe you should find the answer since you are developing a competing solution? Also it might be a good reference project for solving similar problems to yours. They do have bench tests you could play with https://github.com/blevesearch/bleve/blob/master/query_bench_test.go
-
Seeking a free full text search solution for large data with progress display
I know of https://github.com/blevesearch/bleve and I think there was another project for full text search that I can't find now.
- Any Full Text Search library for json data?
-
An alternative to Elasticsearch that runs on a few MBs of RAM
I would be interested in such a testbed. I would also like to know how Bleve Search (https://github.com/blevesearch/bleve) turns out.
I have for many years now a small search engine project in my free-time pipeline, but I'm before crawling even and I intend to sit for searching part after some of that.
- What is the coolest Go open source projects you have seen?
-
BetterCache 2.0 (has full text search/remove, etc.)
Haha. Seriously I can’t tell the difference between these libraries https://github.com/blevesearch/bleve
-
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.
-
Why Writing Your Own Search Engine Is Hard (2004)
For those curious, I'm on my 3rd search engine as I keep discovering new methods of compactly and efficiently processing and querying results.
There isn't a one-size-fits all approach, but I've never worked on a project that encompasses as many computer science algorithms as a search engine.
- 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)
- Ranking (pagerank, tf/idf, bm25, etc...)
- NLP (stemming, POS tagging, subject identification, 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...)
- 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
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. That might work for something small like a curated collection of a few hundred sites.
-
Mattermost – open-source platform for secure collaboration
Search in SQL databases is a tough beast to get it right. And given that we support MySQL and Postgres both, it gets even harder to support quirks of both of them.
In enterprise editions, the only addition is Elasticsearch. But in our open-source version, we do have support for https://github.com/blevesearch/bleve. Although, it's in beta, we have a lot of customers using it.
I am wondering if you have tried using it and didn't like it?
- A Database for 2022
rclone
-
Supabase Storage: now supports the S3 protocol
rclone: a command-line program to manage files on cloud storage.
- World Backup Day
-
S3 Client against disasters (hacks, fires, catastrophes)
Synchronise buckets with Sclone or Rclone
- Show HN: Query Your Sheets with SheetSQL
-
Rclone syncs your files to cloud storage
Says that Apple doesn't provide a multi platform API. It doesn't provide any official supported way to access iCloud from Windows, Linux.
There's a ticket covering everything you might ever want to know:
https://github.com/rclone/rclone/issues/1778
-
Ask HN: Best modern file transfer/synchronization protocol?
seconding rsync and syncthing.
the server could expose an smb or nfs share, the client could mount it, and then sync to that mount.
rsync over ssh also works, if you do not want to run smb/nfs.
this is also a cool tool https://rclone.org/
-
Ask HN: How do you do personal backups in 2023? (Google and Dropbox issues)
rclone [1] to dropbox. works since years without problems
[1] https://rclone.org/
-
Which synchronization tool are you using together with the pCloud Crypto Folder?
rclone provides a special pCloud config option, which makes the setup straight forward. rclone can encrypt the data it uploads with its own encryption but not with the pCloud encryption. Therefore it can only upload data to the unencrypted pCloud folders, not to the Crypto Folder.
- Backup of Google Drive (and photos?) to local disk (not to Google Drive)
-
All I want for Christmas is
The arkclone project impliments rclone in ArkOS to achieve cloud saves. Not yet built in to ArkOS yet, and not a lot of recent traction on the pull request to get it added, but it can be installed manually.
What are some alternatives?
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
syncthing - Open Source Continuous File Synchronization
elastic - Deprecated: Use the official Elasticsearch client for Go at https://github.com/elastic/go-elasticsearch
Cryptomator - Multi-platform transparent client-side encryption of your files in the cloud
goriak - goriak - Go language driver for Riak KV
rsync - An open source utility that provides fast incremental file transfer. It also has useful features for backup and restore operations among many other use cases.
elasticsql - convert sql to elasticsearch DSL in golang(go)
s3fs-fuse - FUSE-based file system backed by Amazon S3
goes
Duplicati - Store securely encrypted backups in the cloud!
elastigo - A Go (golang) based Elasticsearch client library.
aws-cli - Universal Command Line Interface for Amazon Web Services