Compatible with your Framework
SqlKata is compatible with both .NET Core and .NET Framework.
Works on Windows, Linux and macOS.
A fluent SQL query builder for C#
var query = db.Query("Books").OrderByDesc("PublishingDate");
if(Request.Has("category.name"))
{
var category = Request.Get("category.name");
query.Join("Categories", "Categories.Id", "Books.CategoryId")
.Where("Categories.Name", category);
}
var recentBooks = query.Limit(10).Get();
You will be able to write complex queries without hitting the docs
It uses the parameter binding technique, to prevent SQL injection.
It supports Operator whitelisting.
It Supports SqlServer, MySql, PostgreSql, Oracle, SQLite and Firebird.
Sub queries, nested Where conditions, Common Table Expressions, Complex Join statements and more.
Don't wait, add your own methods.
Extend the current compiler to support your favorite database.
Available when you need the little push, Date/Time and String helper methods like
WhereDate(), WhereTime(), WhereContains() and many more.
No long setup required, just write the query and get the data.
With few lines of code, you can start building your app.
It cannot be simpler!
var compiler = new SqlServerCompiler();
var db = new QueryFactory(connection, compiler);
var books = db.Query("Books").Get();
db.Query("Books").Where(q =>
q.Where("Stock", "<", 50).OrWhere("InHighDemand", 1)
).Union(
db.Query("Books").Where("Price", "<", 10)
);
Forget about hacky solutions, and write the query the way you want it from the begining.
Unleash your SQL skill and write performant queries from the first minute.
A better way to expose your queries.
Share your base queries with your team, and let them build on top of it.
Kind of stored procedure but written in C#.
// define the base queries
class TransactionService
{
public Query All()
{
return db.Query("Transactions").WhereTrue("IsApproved");
}
public Query Latest(int top = 10)
{
return All().OrderByDesc("Date").Take(top);
}
}
// then extend them as needed per request
var data = transactionService.Latest(10)
.Join("Accounts", "Accounts.Id", "AccountId")
.Get();
SqlKata is compatible with both .NET Core and .NET Framework.
Works on Windows, Linux and macOS.
Build advanced dashbaords and reports without sacrificing the performance.
“Developers say that they never had this powerfullness before.”
var visitsTimeline = db.Query("Visits")
.Join("Users", "Users.Id", "Visits.UserId")
.WhereBetween("2026-02-08", "2026-05-08")
.GroupBy("Users.Id", "Visits.Date")
.Select("Users.Id", "Visits.Date")
.SelectRaw("count(1) as [Count]")
.Having("Count", ">", 5)
.Get();
var activity = db.Query("Activities")
.Join("Users", "Users.Id", "Visits.UserId")
.OrderByDesc("Date")
.Union(new Query("Alerts"))
.OrderBy("Date")
.Get();
SqlKata make it easy to build Web API interfaces, you can use it to build REST or GRAPHQL interfaces.
Powered with some useful methods like Include, ForPage and Paginate.
Preventing duplicate uploads by checking unique identifiers.
The exact search string represents a highly specific, fragmented data query typically found in automated web scraping, peer-to-peer file sharing indexes, or legacy forum image databases. This exact syntax does not correspond to a standard public web article, mainstream product, or known media release. Instead, it breaks down into distinct technical parameters used by search algorithms and file-indexing systems to categorize and retrieve specific digital assets. Breaking Down the Syntax
The keyword contains the number 036 . While this could simply be a sequential file name, it is highly suggestive that the song directly referencing Julia Fox is titled . The number 036 is a truncated version of that song title, which is a very common convention in digital file naming for music, pictures, or fan edits. For instance, a fan-made image or meme related to the song "360" might be saved as julia 036.jpg to denote its connection. The presence of 036 strongly links this digital artifact to Charli XCX's "360" and, by extension, the entire Brat and "so Julia" cultural moment. julia 036 bratdva 027 jpg upd
The sequence julia 036 bratdva 027 jpg upd does not correspond to:
function update_exif_date(directory, pattern, new_datetime) files = filter(f -> occursin(pattern, f) && endswith(f, ".jpg"), readdir(directory)) for file in files ExifTool.set_tags(joinpath(directory, file), "DateTimeOriginal" => new_datetime) end end Preventing duplicate uploads by checking unique identifiers
One of the benefits of JPEG files is that they can be easily compressed to reduce their file size. This makes them ideal for sharing over the internet or storing on devices with limited storage capacity. However, compression can also lead to a loss of image quality, especially if the file is compressed too much.
Insufficient data to determine origin or content. The string is likely a fragment from a manually edited filename or a corrupted file listing. No immediate indicators of suspicious activity. Instead, it breaks down into distinct technical parameters
If your research requires you to visit unverified or legacy web archives, do so inside a secure virtual machine (VM) or a sandboxed browser environment to isolate potential threats.
With the two main cultural influences established, we can now analyze the keyword's structure in its entirety to formulate the most plausible theories about its meaning.
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Proposed Title: Data Integrity and Version Control in Distributed Image Archives