buntdb
clover
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buntdb
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PostgreSQL: No More Vacuum, No More Bloat
Experimental format to help readability of a long rant:
1.
According to the OP, there's a "terrifying tale of VACUUM in PostgreSQL," dating back to "a historical artifact that traces its roots back to the Berkeley Postgres project." (1986?)
2.
Maybe the whole idea of "use X, it has been battle-tested for [TIME], is robust, all the bugs have been and keep being fixed," etc., should not really be that attractive or realistic for at least a large subset of projects.
3.
In the case of Postgres, on top of piles of "historic code" and cruft, there's the fact that each user of Postgres installs and runs a huge software artifact with hundreds or even thousands of features and dependencies, of which every particular user may only use a tiny subset.
4.
In Kleppmann's DDOA [1], after explaining why the declarative SQL language is "better," he writes: "in databases, declarative query languages like SQL turned out to be much better than imperative query APIs." I find this footnote to the paragraph a bit ironic: "IMS and CODASYL both used imperative query APIs. Applications typically used COBOL code to iterate over records in the database, one record at a time." So, SQL was better than CODASYL and COBOL in a number of ways... big surprise?
Postgres' own PL/pgSQL [2] is a language that (I imagine) most people would rather NOT use: hence a bunch of alternatives, including PL/v8, on its own a huge mass of additional complexity. SQL is definitely "COBOLESQUE" itself.
5.
Could we come up with something more minimal than SQL and looking less like COBOL? (Hopefully also getting rid of ORMs in the process). Also, I have found inspiring to see some people creating databases for themselves. Perhaps not a bad idea for small applications? For instance, I found BuntDB [3], which the developer seems to be using to run his own business [4]. Also, HYTRADBOI? :-) [5].
6.
A usual objection to use anything other than a stablished relational DB is "creating a database is too difficult for the average programmer." How about debugging PostgreSQL issues, developing new storage engines for it, or even building expertise on how to set up the instances properly and keep it alive and performant? Is that easier?
I personally feel more capable of implementing a small, well-tested, problem-specific, small implementation of a B-Tree than learning how to develop Postgres extensions, become an expert in its configuration and internals, or debug its many issues.
Another common opinion is "SQL is easy to use for non-programmers." But every person that knows SQL had to learn it somehow. I'm 100% confident that anyone able to learn SQL should be able to learn a simple, domain-specific, programming language designed for querying DBs. And how many of these people that are not able to program imperatively would be able to read a SQL EXPLAIN output and fix deficient queries? If they can, that supports even more the idea that they should be able to learn something different than SQL.
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1: https://dataintensive.net/
2: https://www.postgresql.org/docs/7.3/plpgsql-examples.html
3: https://github.com/tidwall/buntdb
4: https://tile38.com/
5: https://www.hytradboi.com/
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Is there a nice embedded json db, like PoloDB (Rust) for Golang
https://github.com/tidwall/buntdb -> i think this one you might want
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Open Source Databases in Go
buntdb - Fast, embeddable, in-memory key/value database for Go with custom indexing and spatial support.
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Alternative to MongoDB?
BuntDB for NoSQL
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Path hints for B-trees can bring a performance increase of 150% – 300%
BuntDB [0] from @tidwall uses this package as a backing data structure. And BuntDB is in turn used by Tile38 [1]
[0] https://github.com/tidwall/buntdb
- The start of my journey learning Go. Any tips/suggestions would greatly appreciated!
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In-memory caching solutions
I've used BuntDB and had a great experience with it. It's basically just a JSON-based key-value store. I'm a huge fan of the developers other work (sjson, gjson, jj, etc) and stumbled on it while looking for a simple, embedded DB solution. It's not specifically a cache, though--just a simple DB, so you'd have to write the caching logic yourself.
clover
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Creating a TODO app in Fyne an Go
If you want to see a more complex example with some syntax sugar and sexy db persistence layer using clover you can look at this gtodos.
- What do you use for fast read/write local db stoage?
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Open Source Databases in Go
clover - A lightweight document-oriented NoSQL database written in pure Golang.
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Looking for projects to contribute
Give a look to this project: https://github.com/ostafen/clover
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arcticDB: embedded columnar database written in Go
Also, I'm working on a small embedded No SQL library. I leave it here, just in case it could be of any help: https://github.com/ostafen/clover
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Mocking database or use a test database
Hi, recently I wrote a small NoSQL embedded database in Go. It is meant to run as a library, for those usa cases where you don't want to run a real database server. I leave here the link: https://github.com/ostafen/clover Maybe, it can be of help
- What do you use Go for?
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Any open source project I could join?
You can join this project https://github.com/ostafen/clover It is a tiny NoSQL embedded database designed for being simple and easily maintainable
- Looking for open source project to learn from
- "Each insert, update or delete operation rewrites from scratch the file corresponding to a given collection." .. "If you are really concerned about performance, you could write your own implementation."
What are some alternatives?
bolt
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
badger - Fast key-value DB in Go.
nutsdb - A simple, fast, embeddable, persistent key/value store written in pure Go. It supports fully serializable transactions and many data structures such as list, set, sorted set.
TinyGo - Go compiler for small places. Microcontrollers, WebAssembly (WASM/WASI), and command-line tools. Based on LLVM.
go-memdb - Golang in-memory database built on immutable radix trees
Ponzu - Headless CMS with automatic JSON API. Featuring auto-HTTPS from Let's Encrypt, HTTP/2 Server Push, and flexible server framework written in Go.
goleveldb - LevelDB key/value database in Go.
LevelDB - LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
ledisdb - A high performance NoSQL Database Server powered by Go
InfluxDB - Scalable datastore for metrics, events, and real-time analytics