scc
Seaweed File System
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scc | Seaweed File System | |
---|---|---|
18 | 49 | |
5,855 | 14,960 | |
- | - | |
8.2 | 9.9 | |
7 days ago | over 1 year ago | |
Go | 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.
scc
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Essential Command Line Tools for Developers
View on GitHub
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Ask HN: Programs that saved you 100 hours? (2022 edition)
Going to say my own https://github.com/boyter/scc/ which I have used to turn down projects of "Oh we just need to do X"
It allows me to evaluate the code-base quickly and see where potential issues are, and find hidden complexity in the code. I have said no a lot due to it. The only reason it exists was because I got caught out from another project, which wasted months of my time.
Otherwise IntelliJ and the JetBrains IDE's in general.
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Building a custom code search index in Go for searchcode.com
Very cool to see this here, Ben! It was fun beating the ins and outs of your work on this in the TZ discord.
Also, off-topic but as you know, I recently tried out your scc tool and am eagerly awaiting its support for Elixir templates (.eex, .heex)!
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[media] Onefetch v2.13 is typically 2x faster and now supports ~100 programming languages
I believe tokei is the best rust option as of now, but despite my burning passion for rust I've switched to using scc instead as I find it faster and more convenient. Not really an option for you if you're trying to bake line counting into the binary, obviously.
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Incremental Parsing in Go
I've seen some real world example where Go was as fast or faster than Rust for CPU / io intensive task.
Go is a fast language even with a GC.
- Goal: Pass all 4259065 tests in sqllogictest in 1 week
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Large project uses Rust backend. My backend developer left. How hard is it for me to learn Rust and take over for him.
I don't trust your qualitative "LARGE" for the project. I would recommend you pass your project through something like a software metrics tool https://github.com/boyter/scc to better measure what you're up against in terms of Flutter/Dart AND Rust code base.
- Fd: A simple, fast and user-friendly alternative to 'find'
- Mako – a full Bitcoin implementation in C
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Does anyone know of any tool for calculating the cyclomatic complexity of pascal-based source code?
SCC has a complexity score
Seaweed File System
- An open-source distributed object storage service
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Moving to github.com/seaweedfs/seaweedfs
FYI: Planning to move from github.com/chrislusf/seaweedfs to github.com/seaweedfs/seaweedfs in the coming days. It may cause some problem for package reference, building, documents, and links. Sorry for the change!
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S3 Isn't Getting Cheaper
Besides storage itself, S3 API access cost can be high if frequently accessed. And latency is unpredicatble.
You can use SeaweedFS Remote Object Store Gateway to cache S3 (or any S3 API compatible vendors) to local servers, and access them at local network speed, and asynchronously sync back to S3.
https://github.com/chrislusf/seaweedfs/wiki/Gateway-to-Remot...
SeaweedFS: https://github.com/chrislusf/seaweedfs
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Question: does anyone know Storage Provider with S3 as persistence layer?
I don't know if it fits all of your requests, but you can take a look at seaweedfs, which is pretty good
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Introducing Garage, our self-hosted distributed object storage solution
Seaweedfs deserves a mention here for comparison as well.
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Garage, our self-hosted distributed object storage solution
If you're still talking about SeaweedFS, the answer seems to simply be that it's not a "raft-based object store" as the parent described. That 'proxy' node you mention is a volume server itself, and replicates it's whole volume on another server. Upon replication failures, the data becomes read-only [1]. Raft is not used for the writes.
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Updated MinIO NVMe Benchmarks: 2.6Tpbs on Get and 1.6 on Put
For computers, batch IO operations are much faster than random IO and can easily saturate the network.
This benchmark uses large batch size, 64MB, to test. There is nothing new here. Most common file systems can easily do the same.
The difficult task is to read and write lots of small files. There is a term for it, LOSF. I work on SeaweedFS, https://github.com/chrislusf/seaweedfs , which is designed to handle LOSF. And of course, no problem with large files at all.
This is a fair complaint. :)
For filer metadata, you should just pick the one you are most familiar with.
There is a wiki page for production setup. https://github.com/chrislusf/seaweedfs/wiki/Production-Setup
What are some alternatives?
minio - The Object Store for AI Data Infrastructure
Ceph - Ceph is a distributed object, block, and file storage platform
GlusterFS - Web Content for gluster.org -- Deprecated as of September 2017
MooseFS - MooseFS – Open Source, Petabyte, Fault-Tolerant, Highly Performing, Scalable Network Distributed File System (Software-Defined Storage)
Apache Hadoop - Apache Hadoop
lizardfs - LizardFS is an Open Source Distributed File System licensed under GPLv3.
Go IPFS - IPFS implementation in Go [Moved to: https://github.com/ipfs/kubo]
Docker - Notary is a project that allows anyone to have trust over arbitrary collections of data
autotier - A passthrough FUSE filesystem that intelligently moves files between storage tiers based on frequency of use, file age, and tier fullness.
cloc - cloc counts blank lines, comment lines, and physical lines of source code in many programming languages.
Alluxio (formerly Tachyon) - Alluxio, data orchestration for analytics and machine learning in the cloud
Tahoe-LAFS - The Tahoe-LAFS decentralized secure filesystem.