Lazy Cache
.NET Runtime
Lazy Cache | .NET Runtime | |
---|---|---|
9 | 611 | |
1,696 | 14,177 | |
- | 1.9% | |
0.0 | 10.0 | |
3 months ago | 3 days ago | |
C# | C# | |
MIT License | MIT License |
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.
Lazy Cache
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Caching in .NET
Leverage Frameworks and Libraries: Numerous libraries and frameworks are available for .NET that can simplify caching implementation and management. Examples include CacheManager, EasyCaching, and LazyCache. Evaluate these options to see if they meet your requirements and can help streamline your caching strategy.
- What your hidden nuget gems ?
- Request for code review for IMemoryCache Generic Helper method
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How to implement cache
We're using a wrapper library called LazyCache. It works fine.
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Parallel.ForEachAsync Deep Dive
I wasn't aware of this LazyCache nuget, it would requires a bit of a code rewrite for me to use directly, but it seems nice. The only issue is that I see their AsyncLazy implementation does not do what the stackoverflow post mention.
- Capper - Strongly typed read-through caching extensions for .NET's IDistributedCache
- Libraries for Memory Caching which wrap objects like Moq
.NET Runtime
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The search for easier safe systems programming
.NET has explicit tailcalls - they are heavily used by and were made for F#.
https://learn.microsoft.com/en-us/dotnet/api/system.reflecti...
https://github.com/dotnet/runtime/blob/main/docs/design/feat...
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Arena-Based Parsers
The description indicates it is not production ready, and is archived at the same time.
If you pull all stops in each respective language, C# will always end up winning at parsing text as it offers C structs, pointers, zero-cost interop, Rust-style struct generics, cross-platform SIMD API and simply has better compiler. You can win back some performance in Go by writing hot parts in Go's ASM dialect at much greater effort for a specific platform.
For example, Go has to resort to this https://github.com/golang/go/blob/4ed358b57efdad9ed710be7f4f... in order to efficiently scan memory, while in C# you write the following once and it compiles to all supported ISAs with their respective SIMD instructions for a given vector width: https://github.com/dotnet/runtime/blob/56e67a7aacb8a644cc6b8... (there is a lot of code because C# covers much wider range of scenarios and does not accept sacrificing performance in odd lengths and edge cases, which Go does).
Another example is computing CRC32: you have to write ASM for Go https://github.com/golang/go/blob/4ed358b57efdad9ed710be7f4f..., in C# you simply write standard vectorized routine once https://github.com/dotnet/runtime/blob/56e67a7aacb8a644cc6b8... (its codegen is competitive with hand-intrinsified C++ code).
There is a lot more of this. Performance and low-level primitives to achieve it have been an area of focus of .NET for a long time, so it is disheartening to see one tenth of effort in Go to receive so much spotlight.
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Airline keeps mistaking 101-year-old woman for baby
It's an interesting "time is a circle" problem given that a century only has 100 years and then we loop around again. 2-digit years is convenient for people in many situations but they are very lossy, and horrible for machines.
It reminds me of this breaking change to .Net from last year.[1][2] Maybe AA just needs to update .Net which would pad them out until the 2050's when someone born in the 1950s would be having...exactly the same problem in the article. (It is configurable now so you could just keep pushing it each decade, until it wraps again).
Or they could use 4-digit years.
[1] https://github.com/dotnet/runtime/issues/75148
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The software industry rapidly convergng on 3 languages: Go, Rust, and JavaScript
These can also be passed as arguments to `dotnet publish` if necessary.
Reference:
- https://learn.microsoft.com/en-us/dotnet/core/deploying/nati...
- https://github.com/dotnet/runtime/blob/main/src/coreclr/nati...
- https://github.com/dotnet/runtime/blob/5b4e770daa190ce69f402... (full list of recognized keys for IlcInstructionSet)
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The Performance Impact of C++'s `final` Keyword
Yes, that is true. I'm not sure about JVM implementation details but the reason the comment says "virtual and interface" calls is to outline the difference. Virtual calls in .NET are sufficiently close[0] to virtual calls in C++. Interface calls, however, are coded differently[1].
Also you are correct - virtual calls are not terribly expensive, but they encroach on ever limited* CPU resources like indirect jump and load predictors and, as noted in parent comments, block inlining, which is highly undesirable for small and frequently called methods, particularly when they are in a loop.
* through great effort of our industry to take back whatever performance wins each generation brings with even more abstractions that fail to improve our productivity
[0] https://github.com/dotnet/coreclr/blob/4895a06c/src/vm/amd64...
[1] https://github.com/dotnet/runtime/blob/main/docs/design/core... (mind you, the text was initially written 18 ago, wow)
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Java 23: The New Features Are Officially Announced
If you care about portable SIMD and performance, you may want to save yourself trouble and skip to C# instead, it also has an extensive guide to using it: https://github.com/dotnet/runtime/blob/69110bfdcf5590db1d32c...
CoreLib and many new libraries are using it heavily to match performance of manually intensified C++ code.
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Locally test and validate your Renovate configuration files
DEBUG: packageFiles with updates (repository=local) "config": { "nuget": [ { "deps": [ { "datasource": "nuget", "depType": "nuget", "depName": "Microsoft.Extensions.Hosting", "currentValue": "7.0.0", "updates": [ { "bucket": "non-major", "newVersion": "7.0.1", "newValue": "7.0.1", "releaseTimestamp": "2023-02-14T13:21:52.713Z", "newMajor": 7, "newMinor": 0, "updateType": "patch", "branchName": "renovate/dotnet-monorepo" }, { "bucket": "major", "newVersion": "8.0.0", "newValue": "8.0.0", "releaseTimestamp": "2023-11-14T13:23:17.653Z", "newMajor": 8, "newMinor": 0, "updateType": "major", "branchName": "renovate/major-dotnet-monorepo" } ], "packageName": "Microsoft.Extensions.Hosting", "versioning": "nuget", "warnings": [], "sourceUrl": "https://github.com/dotnet/runtime", "registryUrl": "https://api.nuget.org/v3/index.json", "homepage": "https://dot.net/", "currentVersion": "7.0.0", "isSingleVersion": true, "fixedVersion": "7.0.0" } ], "packageFile": "RenovateDemo.csproj" } ] }
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Chrome Feature: ZSTD Content-Encoding
https://github.com/dotnet/runtime/issues/59591
Support zstd Content-Encoding:
- Writing x86 SIMD using x86inc.asm (2017)
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Why choose async/await over threads?
We might not be that far away already. There is this issue[1] on Github, where Microsoft and the community discuss some significant changes.
There is still a lot of questions unanswered, but initial tests look promising.
Ref: https://github.com/dotnet/runtime/issues/94620
What are some alternatives?
CacheManager - CacheManager is an open source caching abstraction layer for .NET written in C#. It supports various cache providers and implements many advanced features.
Ryujinx - Experimental Nintendo Switch Emulator written in C#
EasyCaching - :boom: EasyCaching is an open source caching library that contains basic usages and some advanced usages of caching which can help us to handle caching more easier!
ASP.NET Core - ASP.NET Core is a cross-platform .NET framework for building modern cloud-based web applications on Windows, Mac, or Linux.
SqliteCache for ASP.NET Core - An ASP.NET Core IDistributedCache provider backed by SQLite
actix-web - Actix Web is a powerful, pragmatic, and extremely fast web framework for Rust.
FusionCache - FusionCache is an easy to use, fast and robust cache with advanced resiliency features and an optional distributed 2nd level.
WASI - WebAssembly System Interface
NCache - NCache: Highly Scalable In-Memory Distributed Cache for .NET
CoreCLR - CoreCLR is the runtime for .NET Core. It includes the garbage collector, JIT compiler, primitive data types and low-level classes.
Electron.NET - :electron: Build cross platform desktop apps with ASP.NET Core (Razor Pages, MVC, Blazor).
vgpu_unlock - Unlock vGPU functionality for consumer grade GPUs.