bqb
cockroach
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bqb | cockroach | |
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13 | 100 | |
122 | 29,076 | |
- | 1.2% | |
7.1 | 10.0 | |
6 months ago | 3 days ago | |
Go | Go | |
MIT License | 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.
bqb
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Are there any decent ORMs in Golang?
But using a query builder, something like squirrel or (plug) bqb, allows you to actually write SQL (or something close to it) when you need it but also handles the nasty string building bits. Though I agree that ORMs are not always bad, especially for small projects with well-defined scope.
- Examples of Good Go Repos
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GORM
Plug for bqb as a query builder, but there's also squirrel which works pretty well too.
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Best packages?
(plug) bqb for very simple query building.
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ORM vs SQL Builder in Go
Squirrel is great! Let me also plug bqb.
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Open Source Go Projects for learning go
Plug: BQB (basic query builder) is small, 100% test coverage, and in AwesomeGo. A great starter project.
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Where to find a virtual or local Go mentor?
I totally understand this. If you do go with a query builder, may I recommend bqb (shameless plug) as it allows you to remain closer to the SQL than some alternatives and doesn't do anything fancy. We stripped out 50% of our query logic with it in our org, which has enabled us to more readily tweak the SQL for performance.
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Does gorm worth learning?
There's also bqb. We use it in production at our company -- much better than raw SQL. If you couple it with something like scany then you get more of the ORM benefits without the complexity.
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Any "simple" projects with particularly well-written and/or well-documented code for a beginner to look through?
Another shameless plug: https://github.com/nullism/bqb pretty tiny query builder with 100% test coverage
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bqb VS Squirrel - a user suggested alternative
2 projects | 9 Sep 2021
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?
Squirrel - Fluent SQL generation for golang
vitess - Vitess is a database clustering system for horizontal scaling of MySQL.
goqu - SQL builder and query library for golang
neon - Neon: Serverless Postgres. We separated storage and compute to offer autoscaling, branching, and bottomless storage.
pgweb - Cross-platform client for PostgreSQL databases
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
Tile38 - Real-time Geospatial and Geofencing
Trino - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
badger - Fast key-value DB in Go.
yugabyte-db - YugabyteDB - the cloud native distributed SQL database for mission-critical applications.
InfluxDB - Scalable datastore for metrics, events, and real-time analytics