System.Linq.Dynamic.Core
Superpower
| System.Linq.Dynamic.Core | Superpower | |
|---|---|---|
| 10 | 4 | |
| 1,502 | 968 | |
| 0.9% | 0.0% | |
| 8.1 | 0.0 | |
| 5 days ago | almost 2 years ago | |
| HTML | C# | |
| Apache License 2.0 | Apache License 2.0 |
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System.Linq.Dynamic.Core
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Postgres + Marten + DynamicLinq... Exceptions after upgrad to NET 6
We have an app that was written with core 3.1 and uses Postgres and Marten to create a document store. I have several tables with filtering functionality that uses DymanicLinq (https://dynamic-linq.net/) to generate queries. As 3.1 is EOL, we are upgrading to NET 6 but doing so seems to have broken the queries. I now get exceptions saying the Specified Method is unsupported. Anyone have any idea how to fix this?
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I made a new filtering library for .NET projects
How is it different from Dynamic Linq?
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Introducing QueryR!
Fun with expression trees, pretty cool!. How does this compare with Dynamic Linq?
- AutoMapper Expression Lookup
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How can i make a dynamic Query?
Have a look at Dynamic LINQ I am using it in a similar fashion to yourself to accept 'order' and 'where' parameters via API Endpoints and parsing them to LINQ queries
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Dynamically building Linq queries
-> Dynamic LINQ
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Transforming a search query into an EF expression with Lucene
Not much to explain, other than: https://dynamic-linq.net/
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Rules Engine Editor - Blazor UI library intended for integration in Web or Desktop With Microsoft Rules Engine (open source dynamic lambda expression package for abstracting business logic/rules/policies out of the system and put rules in a outside store)
RulesEngine runs on any arbitrary object since it's based on Dynamic LINQ. It can be used outside of SQL for evaluating expressions. This allows business rules to be changed w/out compilation, publishing or devops.
- Build dynamic Linq filters (aka. where() predicates)
Superpower
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I made a new filtering library for .NET projects
Awesome little project you got going on there :) , I've done something similar with Ooze and extracted it to Ooze.Query later. I need to push them to nuget also when I catch some time (I jump back to it from time to time when I have some free space). Cool to see another person using parser construction libs. I see you used Sprache, I went for SuperPower for this situation.
- how would you solve this? Filtering a db model from the api and persisting the filtration rules in a safe and db agnostic way
- GitHub - nreco/nlquery: Parser for end-user search-like queries and rule-based named entity recognition (NER) in context of tabular dataset schema.
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Would Someone ELI5 Parser Combinators?
Unfortunately I'm struggling. The first problem is choosing which combinator library to go with: Sprache, Superpower, Parlot, Pidgen, Lexepars, etc. etc. Some look simpler to use than others, others more performant, others come with useful parsers built in.
What are some alternatives?
LINQKit - LINQKit is a free set of extensions for LINQ to SQL and Entity Framework power users.
Sprache - A tiny, friendly, C# parser construction library
RulesEngine - A Json based Rules Engine with extensive Dynamic expression support
Pidgin - A lightweight and fast parsing library for C#.
linq2db.EntityFrameworkCore - Bring power of Linq To DB to Entity Framework Core projects
CSLY - a C# embeddable lexer and parser generator (.Net core)
Sieve - ⚗️ Clean & extensible Sorting, Filtering, and Pagination for ASP.NET Core
FParsec - A parser combinator library for F#
dynamic-linq-query-builder - A truly generic and dynamic linq query builder to compliment jQuery QueryBuilder and other dynamic linq query generation needs
Recognizers-Text - Microsoft.Recognizers.Text provides recognition and resolution of numbers, units, date/time, etc. in multiple languages (ZH, EN, FR, ES, PT, DE, IT, TR, HI, NL. Partial support for JA, KO, AR, SV). Packages available at: https://www.nuget.org/profiles/Recognizers.Text, https://www.npmjs.com/~recognizers.text
DynamicExpresso - C# expressions interpreter
nlquery - Parser for end-user search-like queries and rule-based named entity recognition (NER) in context of tabular dataset schema.