MarkMpn.SQL4CDS 7.4.0

.NET Framework 4.5.2
There is a newer version of this package available.
See the version list below for details. 
dotnet add package MarkMpn.SQL4CDS --version 7.4.0
NuGet\Install-Package MarkMpn.SQL4CDS -Version 7.4.0
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package. 
<PackageReference Include="MarkMpn.SQL4CDS" Version="7.4.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add MarkMpn.SQL4CDS --version 7.4.0
#r "nuget: MarkMpn.SQL4CDS, 7.4.0"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package. 
// Install MarkMpn.SQL4CDS as a Cake Addin
#addin nuget:?package=MarkMpn.SQL4CDS&version=7.4.0

// Install MarkMpn.SQL4CDS as a Cake Tool
#tool nuget:?package=MarkMpn.SQL4CDS&version=7.4.0

SQL 4 CDS allows you to use standard SQL syntax to query and manipulate your data and metadata in Dataverse / D365.

Supports
- SELECT
- INSERT
- UPDATE
- DELETE

Where possible the queries are converted to FetchXML, allowing you to generate FetchXML queries for
plugins or integrations by writing familiar SQL and converting it.

Using the preview TDS Endpoint, SELECT queries can also be run that aren't convertible to FetchXML.

Product Compatible and additional computed target framework versions.
.NET Framework net452 is compatible.  net46 was computed.  net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
8.0.0 20,204 11/25/2023
7.6.1 8,889 10/16/2023
7.6.0 4,683 9/30/2023
7.5.2 4,172 9/17/2023
7.5.1 540 9/11/2023
7.5.0 4,005 9/4/2023
7.4.0 7,260 8/7/2023
7.3.0 11,127 6/12/2023
7.2.2 2,752 5/2/2023
7.2.1 249 4/30/2023
7.1.0 17,129 1/31/2023
7.0.3 13,469 10/11/2022
7.0.2 2,984 10/2/2022
7.0.1 407 9/28/2022
7.0.0 3,180 9/21/2022
6.4.0 8,470 7/28/2022
6.3.0 5,681 6/28/2022
6.2.1 5,460 5/26/2022
6.2.0 2,543 5/18/2022
6.1.0 2,323 5/11/2022
6.0.1 6,369 4/13/2022
6.0.0 1,700 4/10/2022
5.4.1 9,707 1/18/2022
5.4.0 2,919 1/4/2022
5.3.1 4,854 12/2/2021
5.3.0 1,740 11/27/2021
5.2.5 8,461 9/29/2021
5.2.4 3,326 9/16/2021
5.2.3 2,667 9/1/2021
5.2.2 567 8/31/2021
5.2.1 5,585 6/29/2021
5.1.1 4,570 5/15/2021
5.1.0 1,553 5/6/2021
5.0.0 1,387 4/29/2021
4.1.0 3,622 3/18/2021
4.0.3 2,830 2/20/2021
4.0.2 1,480 2/10/2021
4.0.1 2,036 1/28/2021
4.0.0 2,238 1/13/2021
3.1.0 2,860 12/13/2020
3.0.0 3,614 11/2/2020
2.3.0 4,360 8/28/2020
2.2.0 3,046 7/15/2020
2.1.2 3,407 5/27/2020
2.1.1 894 5/25/2020
2.1.0 624 5/24/2020
2.0.1 2,492 4/23/2020
2.0.0 1,042 4/17/2020
1.0.9 3,905 2/3/2020
1.0.8 492 2/3/2020
1.0.7 748 1/31/2020
1.0.6 1,806 1/10/2020
1.0.5 681 1/9/2020
1.0.4 3,134 11/15/2019
1.0.3 1,037 11/11/2019
1.0.2 2,233 10/11/2019
1.0.1 560 10/11/2019
1.0.0 595 10/9/2019

Added support for long-term retention data
Fixed errors with common XML queries
Improved performance with subqueries
Avoid exposing internal names for computed columns
Convert outer joins with filters to inner joins
Fixed use of UPDATE with CASE expression with a first value of NULL
Fixed use of joins or subqueries with multiple correlated conditions
Improved handling of LEFT OUTER JOIN using nested loop operator
Implemented many-to-many joins using merge join operator
Fixed cross-instance string comparison
Lift more filters directly to FetchXML link-entity
Extended folding of sorts to FetchXML around nested loops
Improved ambiguous table name detection in UPDATE/DELETE statements with subqueries
Avoid errors with un-aliased calculated columns in subqueries
Improved error reporting for AVG and SUM aggregates on non-numeric types
Handle MIN and MAX aggregates for primary key and lookup columns
Added support for STRING_AGG function
Fixed filtering metadata by attribute.sourcetype