client_golang
Squirrel
client_golang | Squirrel | |
---|---|---|
19 | 52 | |
5,139 | 6,540 | |
1.1% | 1.1% | |
8.7 | 2.4 | |
5 days ago | 14 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.
client_golang
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5 Ways to Improve Your API Reliability
Prometheus, an open-source systems monitoring and alerting toolkit, has client libraries that allow you to instrument your services in a variety of languages. Here's an example of how you might use the Go client library to expose metrics on an HTTP endpoint. We will leverage the prometheus go client to expose metrics and create them.
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a tool for quickly creating web and microservice code
Monitoring prometheus, grafana
- The most helpful Go Packages
- Observabilidade com Prometheus
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How do you monitor your Go apps?
I'd recommend github.com/victoriametrics/metrics for exporting custom metrics in Prometheus format. It is easier to use than the github.com/prometheus/client_golang.
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prometheus exporter using Go
Start at the official documentation and the Go client library .
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Any recommendation on Go Metrics libraries to report metrics to DataDog.
DataDog can read Prometheus metrics. Note that this approach works for metrics but not for traces although you can configure DataDog to receive OpenTelemetry traces as well https://github.com/prometheus/client_golang
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How to observe an http web application in real time with pprof?
For Go, the standard is to use Prometheus and the Prometheus Go client library.
- High performance / low overhead metrics/instrumentation library?
- Collecting Go Runtime Metrics With OpenCensus
Squirrel
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Building RESTful API with Hexagonal Architecture in Go
It uses Gin as the HTTP framework and PostgreSQL as the database with pgx as the driver and Squirrel as the query builder. It also utilizes Redis as the caching layer with go-redis as the client.
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Working with postgres in GO.
I would add Squirrel to PGX https://github.com/Masterminds/squirrel
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how to avoid writing dreadful SQL statements
I have written about this before, and my thoughts always settle on using a query builder. I've built a simple one, which works for what I need, but there are more feature complete ones out there such as squirrel. I've also written about how you can implement a simple CRUD library for database interactions using generics and query building to have that nice middle-ground between an ORM and query building.
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How do I enable filters for the user without writing redundant SQL?
Now for the dynamic queries you have to be really careful to prevent SQL injections, there are bunch of different ways to do it but I typically recommend using a package such as squirrel that lets you do this easily, you use it to generate the plain SQL you need (and then use sqlx, database/sql, pgx or whatever you prefer) or use it directly querying the database directly.
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Best sqlc alternative for dynamic queries?
Here are 2 options for you * https://github.com/huandu/go-sqlbuilder * https://github.com/Masterminds/squirrel
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Golang RESTAPI boilerplate repository
https://www.reddit.com/r/golang/comments/vq98ud/what_sql_library_are_you_using/ Jet havn't used but is one that looks promising! Otherwise I'm one of the purests, db/sql and https://github.com/Masterminds/squirrel
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Why is Raw SQL preferred over ORM in go?
I think he means an sql builder like squirrel. This allows dynamic queries, but more important you can reuse function that build a where clause so you can get a count and query with that.
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Does Go, has something similar to Laravel eloquent (ORM) ?
I'd rather suggest the use of tools more aligned with the core concepts of the language such as sqlx, which is an extension of the database/sql standard library. It allows you to use models/structs to map your tables but you have more control over the SQL statements you use to perform queries and the like. You can combine sqlx with Squirrel to build queries from composable parts.
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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.
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GORM
Plug for bqb as a query builder, but there's also squirrel which works pretty well too.
What are some alternatives?
twirp - A simple RPC framework with protobuf service definitions
goqu - SQL builder and query library for golang
opa-scorecard
sqlx - general purpose extensions to golang's database/sql
helm-charts - Prometheus community Helm charts
GORM - The fantastic ORM library for Golang, aims to be developer friendly
Gin - Gin is a HTTP web framework written in Go (Golang). It features a Martini-like API with much better performance -- up to 40 times faster. If you need smashing performance, get yourself some Gin.
InfluxDB - Scalable datastore for metrics, events, and real-time analytics
chi - lightweight, idiomatic and composable router for building Go HTTP services
sqlc - Generate type-safe code from SQL
jaeger-client-go - 🛑 This library is DEPRECATED!
sqlx - 🧰 The Rust SQL Toolkit. An async, pure Rust SQL crate featuring compile-time checked queries without a DSL. Supports PostgreSQL, MySQL, and SQLite.