bleve
cockroach
bleve | cockroach | |
---|---|---|
13 | 100 | |
9,674 | 29,119 | |
0.6% | 0.8% | |
8.0 | 10.0 | |
about 11 hours ago | 2 days ago | |
Go | Go | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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
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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
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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?
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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?
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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
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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.
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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.
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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
cockroach
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11 Planetscale alternatives with free tiers
CockroachDB is an open source distributed SQL database designed for scalability and resilience. While it offers SQL databases, CockroachDB is also compatible with PostgreSQL.
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A MySQL compatible database engine written in pure Go
cockroachdb might be close: https://github.com/cockroachdb/cockroach
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No More Free Tier on PlanetScale, Here Are Free Alternatives
CockroachDB - SQL
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Is it bad to create a publicly accessible RDS database for my serverless web app?
For example, when you create a serverless postgres database with a platform like CockroachDB or Neon, you effectively get a connection string with a strong password. Anyone can connect to your database from anywhere so long as they have the right connection string. There are no security settings in these services to change this behavior.
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Linux surpasses the Mac among Steam gamers
> Yes you can on the android emulator. The biggest issue is compu arch in that case.
I can also download VirtualBox and run all Windows programs, that would mean that all Windows apps are Linux apps?
> Yes you can for the most part
You can't statically link glibc: https://github.com/cockroachdb/cockroach/issues/3392
glibc can break stuff: https://www.gamingonlinux.com/2022/08/valve-dev-understandab...
I had binaries break because the newer version if openssl was put under a slightly different name.
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How do small SaaS's handle databases?
Also, worth noting, if you're already using PostgreSQL (or plan to) you might want to take a look at https://www.cockroachlabs.com/ they have a free tier too and CockroachDB has a PostgreSQL interface.
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Go Dependency management in large company projects - How do you do it?
I know that some projects like cockroach use custom build tools like bazel. But we actually really like to use to be able to build our projects simply with the great go toolchain and don't really aim to dive deep into custom build solutions.
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Eli5: Why do companies use the products of Oracle to store information, when they can just use spreadsheets like Excel, or make their own spreadsheet software?
CockroachDB is designed to be globally distributed. It has to handle causality when resolving collisions. It has to account for having a write operation to arrive after another and still have time priority because it was sent out a few milliseconds earlier.
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rage - a minimalistic load testing tool
Cockroachdb created a go runtime patch which measures the Grunning time of a goroutine: https://github.com/cockroachdb/cockroach/pull/82356. It doesn't entirely solve the problem though.
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Data Engineering Tools in Go
Our entire backend is written in Go. We've built a platform that allows other companies to offer automatic data syncing to their customers' data warehouses. Go works great for building distributed systems like this (see K8s). We're not the only ones in the space building data intensive applications with Go. Pachyderm, Pinecone, Cockroach Labs and are all also doing it. We've been quite happy with how Go has worked for us.
What are some alternatives?
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
vitess - Vitess is a database clustering system for horizontal scaling of MySQL.
elastic - Deprecated: Use the official Elasticsearch client for Go at https://github.com/elastic/go-elasticsearch
neon - Neon: Serverless Postgres. We separated storage and compute to offer autoscaling, branching, and bottomless storage.
goriak - goriak - Go language driver for Riak KV
tidb - TiDB is an open-source, cloud-native, distributed, MySQL-Compatible database for elastic scale and real-time analytics. Try AI-powered Chat2Query free at : https://tidbcloud.com/free-trial
elasticsql - convert sql to elasticsearch DSL in golang(go)
Trino - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
goes
yugabyte-db - YugabyteDB - the cloud native distributed SQL database for mission-critical applications.
elastigo - A Go (golang) based Elasticsearch client library.
InfluxDB - Scalable datastore for metrics, events, and real-time analytics