crater
Dapper
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crater | Dapper | |
---|---|---|
23 | 9 | |
610 | 13,651 | |
2.8% | - | |
7.8 | 5.1 | |
29 days ago | about 3 years ago | |
Rust | C# | |
- | 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.
crater
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Semver violations are common, better tooling is the answer
yup, they reference it as an inspiration: https://github.com/rust-lang/crater
it's probably impossible to automate an entire ecosystem, and there is value to enabling a tighter integration within a project ecosystem (a subset of the language ecosystem).
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Trip Summer ISO C++ standards meeting (Varna, Bulgaria)
Rather than hypothesising about an imagined tool you could look at the actual tool which of course is in Rust's source code repo: https://github.com/rust-lang/crater
> new proposed C++ changes - are checked against only easily and "well-known" accessible package.
Now that I have, so to say, shown you mine, lets see yours. Where is the tool to perform these checks in C++?
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GCC 13 and the state of gccrs
The "break things" part of "move fast" is not essential, Rust cares so much about breakage they literally compile and run the tests for every crate on crates.io and github using a tool called Crater. They do this just to test changes, even for stuff thats documented to be unstable, because thats just courtesy. And tooling makes it trivial to switch between Rust versions.
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Do one thing, and do it well, or not.
The bot's named Crater if you want to look into it more.
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Improving Rust compile times to enable adoption of memory safety
See https://github.com/rust-lang/crater
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Discussion about the state of neovim's plugin ecosystem
Rust compiler developers use a tool called Crater to test potentially breaking compiler changes on all crates (Rust's name for libraries) uploaded to the official repository. If plugin stability is the issue, maybe a solution along these lines would be better than merging these plugins to Neovim's core?
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Experienced C++ users: what do you like about Rust? How would you sell it to other C++ users?
https://github.com/rust-lang/crater is the bot they use to test proposed compiler/stdlib changes against slices of the crates.io library up to and including "all of it".
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Data-driven performance optimization with Rust and Miri
The tool you're referring to is called Crater: https://github.com/rust-lang/crater.
- GHC 9.4.2 regresses being able to do math on aarch64
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Rust for Linux officially merged
I'm pretty certain this isn't actually true. You should look at the editions, etc. Rust also has an insane guarantee which I am certain C/C++ don't offer: It rebuilds its entire library ecosystem each time it ships to make sure nothing breaks (https://crater.rust-lang.org). I've never seen an instance were old code didn't compile on a new compiler. Rust isn't forwards compatible (new code compiles on an old compiler) of course, but what is?
Dapper
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Working with ListView in Windows Forms
Even those the old backend code to read from a database would work, the code was rewritten using Dapper. Had to add two column aliases in SQL SELECT statements and everything worked.
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Import data from a database with Dapper and SpreadsheetLight to Excel in C#
In this article learn how to create Excel spreadsheet documents from reading data from two SQL-Server table from a modified version of Microsoft NorthWind database using NuGet package Dapper and SpreadSheetLight to create and populate the spreadsheet files.
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Multiple Result Sets for SQL-Server (C#) including Dapper
Learn how to read reference table from SQL-Server using a single method. What is shown provides an efficient way to either use a connection, command objects to read data via a SqlDataReader for conventional work using methods from SqlClient and also Dapper which requires two lines of code to read data and one line of code to store data into list.
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BREAKING!! NPM package ‘ua-parser-js’ with more than 7M weekly download is compromised
https://www.nuget.org/packages/Newtonsoft.Json/ https://www.nuget.org/packages/AutoMapper/ https://www.nuget.org/packages/Dapper/ https://www.nuget.org/packages/FluentValidation/ https://www.nuget.org/packages/FluentAssertions/ https://www.nuget.org/packages/NUnit/ https://www.nuget.org/packages/xunit/ https://www.nuget.org/packages/YamlDotNet/ https://www.nuget.org/packages/Moq/ That is simply not true. Mature c# projects purposely maintain no downstream dependencies and is they do, it's to a major reputable lib. See for yourself - these are staple third party packages commonly used. Anything dependency starting with System or NETStandard is Microsoft maintained.
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How to Build a Blazor CRUD Application with Dapper
In this blog post, we are going to discuss how to bind the Syncfusion Blazor DataGrid with a database using Dapper and perform CRUD operations. To demonstrate this, we are going to create a bug tracker database table in MS SQL Server and perform CRUD operations in that table in a Blazor server-side application.
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A couple of questions about dotnet from a Java developer :)
Entity Framework Core StackExchange/Dapper
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Requests per second 12 requests per second – Realistic Python web frameworks
Like there wouldn't be anything in between /s
There are "simple ORMs" that only map results of SQL queries to objects. They do not provide a magic query API - which is the source of most problems. I don't do Python, but for .NET there is Dapper https://github.com/StackExchange/Dapper, you can have a look what I mean. You write the SQL query, explicitly execute it, the library maps the results of that query into objects (it's C#, so you have to declare the class. In Python I'd imagine it would create the object for you)
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Why would I even bother using Dapper?
To add some differences: EF tracks object state in an instance of a context, Dapper does not. Dapper is strictly for object mapping (taking the output of a query and mapping it onto an object). This makes Dapper far easier to implement, versus EF’s DbContext configuration. Due to the lack of tracking and slimmer wrapping, it’s also faster. Things get really great when you have multiple complex objects and multiple result sets. It takes a lot of boring boilerplate code out of your code.
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Plans for Entity Framework Core 6.0 revealed as Microsoft admits it is unlikely to match Dapper for performance
Just take a look at this Dapper 2.0 feature that's been festering for months years.
What are some alternatives?
FluentValidation - A popular .NET validation library for building strongly-typed validation rules.
LINQ to DB - Linq to database provider.
actix-net - A collection of lower-level libraries for composable network services.
PetaPoco - Official PetaPoco, A tiny ORM-ish thing for your POCO's
AutoMapper - A convention-based object-object mapper in .NET.
Entity Framework - EF Core is a modern object-database mapper for .NET. It supports LINQ queries, change tracking, updates, and schema migrations.
rust-prehistory - historical archive of rust pre-publication development
MongoDB Repository pattern implementation
NUnit - NUnit Framework
NPoco - Simple microORM that maps the results of a query onto a POCO object. Project based on Schotime's branch of PetaPoco
apollo-client-devtools - Apollo Client browser developer tools.
NHibernate - NHibernate Object Relational Mapper