EFCore.BulkExtensions 2.2.8

There is a newer version of this package available.
See the version list below for details.
dotnet add package EFCore.BulkExtensions --version 2.2.8
NuGet\Install-Package EFCore.BulkExtensions -Version 2.2.8
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="EFCore.BulkExtensions" Version="2.2.8" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add EFCore.BulkExtensions --version 2.2.8
#r "nuget: EFCore.BulkExtensions, 2.2.8"
#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 EFCore.BulkExtensions as a Cake Addin
#addin nuget:?package=EFCore.BulkExtensions&version=2.2.8

// Install EFCore.BulkExtensions as a Cake Tool
#tool nuget:?package=EFCore.BulkExtensions&version=2.2.8

EntityFramework EF Core Bulk Batch Extensions for Insert Update Delete and Read (CRUD) operations on SQL Server.

Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  net6.0 was computed.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 was computed.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed. 
.NET Core netcoreapp2.0 was computed.  netcoreapp2.1 was computed.  netcoreapp2.2 was computed.  netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard2.0 is compatible.  netstandard2.1 was computed. 
.NET Framework net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen tizen40 was computed.  tizen60 was computed. 
Xamarin.iOS xamarinios was computed. 
Xamarin.Mac xamarinmac was computed. 
Xamarin.TVOS xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (127)

Showing the top 5 NuGet packages that depend on EFCore.BulkExtensions:

Package Downloads
Elsa.Persistence.EntityFramework.Core

Elsa is a set of workflow libraries and tools that enable lean and mean workflowing capabilities in any .NET Core application. This package provides Entity Framework Core entities used by the various Elsa persistence EF Core providers.

CyberEye.Constant.Lib

Package chứa các constant và enum

GreatUtilities.Core

Essencial tools to agile development.

Ssg.Core

Ssg.Core Is Core of Framework fro web application

Adriva.Extensions.Analytics

Adriva Analytics Server Extensions

GitHub repositories (10)

Showing the top 5 popular GitHub repositories that depend on EFCore.BulkExtensions:

Repository Stars
cq-panda/Vue.NetCore
(已支持sqlsugar).NetCore、.Net6、Vue2、Vue3、Vite、TypeScript、Element plus+uniapp前后端分离,全自动生成代码;支持移动端(ios/android/h5/微信小程序。http://www.volcore.xyz/
Webreaper/Damselfly
Damselfly is a server-based Photograph Management app. The goal of Damselfly is to index an extremely large collection of images, and allow easy search and retrieval of those images, using metadata such as the IPTC keyword tags, as well as the folder and file names. Damselfly includes support for object/face detection.
dotnetcore/sharding-core
high performance lightweight solution for efcore sharding table and sharding database support read-write-separation .一款ef-core下高性能、轻量级针对分表分库读写分离的解决方案,具有零依赖、零学习成本、零业务代码入侵
WolvenKit/WolvenKit
Community Mod editor/creator for REDengine games.
VahidN/EFCoreSecondLevelCacheInterceptor
EF Core Second Level Cache Interceptor
Version Downloads Last updated
8.0.2 148,123 2/19/2024
8.0.1 265,754 12/14/2023
8.0.0 119,975 11/21/2023
8.0.0-rc.1.2 16,103 10/4/2023
8.0.0-rc.1 1,303 9/13/2023
8.0.0-preview.7 567 8/31/2023
7.8.1 79,331 12/14/2023
7.1.6 593,589 8/29/2023
7.1.5 186,560 7/25/2023
7.1.4 123,467 7/10/2023
7.1.3 67,223 7/3/2023
7.1.2 243,462 5/26/2023
7.1.1 88,450 5/13/2023
7.1.0 142,469 4/26/2023
7.0.4 87,274 4/19/2023
7.0.3 178,769 4/13/2023
7.0.2 3,680 4/13/2023
7.0.1 591,198 1/28/2023
7.0.0 71,500 1/22/2023
6.8.1 83,100 12/18/2023
6.7.16 146,176 8/29/2023
6.7.15 214,480 7/25/2023
6.7.14 30,077 7/10/2023
6.7.13 7,620 7/4/2023
6.7.12 102,166 5/26/2023
6.7.11 27,041 5/13/2023
6.7.1 67,496 4/26/2023
6.7.0 342,159 1/22/2023
6.6.5 355,969 1/5/2023
6.6.4 102,443 12/19/2022
6.6.3 3,782 12/19/2022
6.6.2 222,509 12/7/2022
6.6.1 2,917 12/7/2022
6.6.0 3,790 12/7/2022
6.6.0-rc.2 129 12/7/2022
6.6.0-rc.1 129 12/7/2022
6.5.6 3,211,711 8/8/2022
6.5.5 370,422 7/21/2022
6.5.4 218,471 7/12/2022
6.5.3 63,311 7/7/2022
6.5.2 248,259 6/20/2022
6.5.1 150,717 6/14/2022
6.5.0 546,287 5/10/2022
6.4.4 845,456 4/15/2022
6.4.3 6,897 4/14/2022
6.4.2 665,107 3/17/2022
6.4.1 648,331 2/21/2022
6.4.0 230,196 2/8/2022
6.3.9 142,776 2/7/2022
6.3.8 7,435 2/6/2022
6.3.7 20,126 2/3/2022
6.3.6 3,682 2/3/2022
6.3.5 3,188 2/3/2022
6.3.4 15,503 2/2/2022
6.3.3 85,530 1/31/2022
6.3.2 28,487 1/28/2022
6.3.1 96,859 1/20/2022
6.3.0 98,238 1/15/2022
6.2.9 703,649 1/14/2022
6.2.8 63,127 1/9/2022
6.2.7 7,057 1/9/2022
6.2.6 680,560 1/1/2022
6.2.5 3,129 12/30/2021
6.2.4 20,345 12/25/2021
6.2.3 125,219 12/17/2021
6.2.2 18,094 12/15/2021
6.2.1 30,516 12/13/2021
6.2.0 20,945 12/10/2021
6.1.9 16,088 12/9/2021
6.1.8 10,347 12/9/2021
6.1.7 2,860 12/9/2021
6.1.6 8,235 12/8/2021
6.1.5 7,191 12/8/2021
6.1.4 236,250 12/4/2021
6.1.3 7,773 12/3/2021
6.1.2 10,687 12/2/2021
6.1.1 62,390 11/29/2021
6.1.0 118,799 11/28/2021
6.0.9 39,723 11/26/2021
6.0.8 19,331 11/26/2021
6.0.7 36,841 11/26/2021
6.0.6 62,124 11/24/2021
6.0.5 18,999 11/24/2021
6.0.4 54,207 11/21/2021
6.0.3 49,833 11/18/2021
6.0.2 49,872 11/12/2021
6.0.1 125,112 11/10/2021
6.0.0 213,905 11/10/2021
6.0.0-rc.2 3,241 10/15/2021
6.0.0-rc.1 691 10/6/2021
5.4.2 452,189 1/14/2022
5.4.1 195,713 11/12/2021
5.4.0 794,868 9/9/2021
5.3.9 40,778 9/5/2021
5.3.8 14,983 9/2/2021
5.3.7 227,425 8/10/2021
5.3.6 7,755 8/10/2021
5.3.5 13,182 8/9/2021
5.3.4 3,997 8/9/2021
5.3.3 6,253 8/9/2021
5.3.2 11,058 8/6/2021
5.3.1 83,137 7/26/2021
5.3.0 65,943 7/19/2021
5.2.9 16,678 7/19/2021
5.2.8 93,694 7/9/2021
5.2.7 25,825 7/8/2021
5.2.6 36,296 7/5/2021
5.2.5 87,302 6/20/2021
5.2.4 13,724 6/17/2021
5.2.3 53,145 6/10/2021
5.2.2 260,435 5/19/2021
5.2.1 22,403 5/17/2021
5.2.0 27,068 5/13/2021
5.1.9 5,489 5/13/2021
5.1.8 57,973 5/9/2021
5.1.7 25,030 5/5/2021
5.1.6 8,014 5/4/2021
5.1.5 5,431 5/3/2021
5.1.4 4,167 5/2/2021
5.1.3 3,565 5/1/2021
5.1.2 49,354 4/24/2021
5.1.1 3,811 4/23/2021
5.1.0 40,142 4/20/2021
5.0.9 39,537 4/19/2021
5.0.8 13,985 4/19/2021
5.0.7 45,240 4/12/2021
5.0.6 18,022 4/8/2021
5.0.5 27,513 4/7/2021
5.0.4 76,795 4/7/2021
5.0.3 10,044 4/7/2021
5.0.2 12,702 4/4/2021
5.0.1 10,624 4/3/2021
5.0.0 21,407 4/2/2021
3.6.6 260,437 2/26/2022
3.6.5 119,576 1/14/2022
3.6.4 6,668 1/7/2022
3.6.3 395,359 8/5/2021
3.6.2 20,796 7/26/2021
3.6.1 319,919 4/7/2021
3.6.0 11,052 4/7/2021
3.5.8 113,555 3/30/2021
3.5.7 3,224 3/30/2021
3.5.6 28,768 3/29/2021
3.5.5 12,374 3/27/2021
3.5.4 4,418 3/26/2021
3.5.3 2,832 3/26/2021
3.5.2 33,116 3/25/2021
3.5.1 10,286 3/24/2021
3.5.0 7,390 3/24/2021
3.4.9 15,420 3/23/2021
3.4.8 69,993 3/22/2021
3.4.7 11,929 3/21/2021
3.4.6 6,016 3/20/2021
3.4.5 2,858 3/20/2021
3.4.4 3,272 3/19/2021
3.4.3 13,152 3/18/2021
3.4.2 10,087 3/17/2021
3.4.1 10,934 3/17/2021
3.4.0 41,230 3/15/2021
3.3.9 114,814 3/15/2021
3.3.8 9,533 3/14/2021
3.3.7 6,709 3/13/2021
3.3.6 13,728 3/13/2021
3.3.5 156,656 3/10/2021
3.3.4 34,697 3/9/2021
3.3.3 101,725 3/8/2021
3.3.2 7,494 3/7/2021
3.3.1 424,398 2/7/2021
3.3.0 17,419 2/7/2021
3.2.7 513,663 12/13/2020
3.2.6 5,928 12/12/2020
3.2.5 1,121,539 10/15/2020
3.2.4 201,203 10/6/2020
3.2.3 195,148 9/23/2020
3.2.2 21,317 9/21/2020
3.2.1 8,504 9/21/2020
3.2.0 28,796 9/17/2020
3.1.6 292,404 9/11/2020
3.1.5 933,717 7/14/2020
3.1.4 182,251 7/7/2020
3.1.3 29,169 7/3/2020
3.1.2 13,244 7/1/2020
3.1.1 1,100,687 3/25/2020
3.1.0 1,250,872 12/18/2019
3.0.5 92,744 12/10/2019
3.0.4 66,713 12/1/2019
3.0.3 31,214 11/17/2019
3.0.2 10,292 11/12/2019
3.0.1 6,515 11/11/2019
3.0.0 156,910 10/4/2019
3.0.0-rc 5,484 9/25/2019
2.6.4 877,665 11/30/2019
2.6.3 406,041 9/21/2019
2.6.2 3,547 9/21/2019
2.6.1 117,215 9/12/2019
2.6.0 241,069 8/19/2019
2.6.0-rc 5,146 7/24/2019
2.5.2 177,284 7/22/2019
2.5.1 24,264 7/14/2019
2.5.0 115,815 7/14/2019
2.4.9 127,935 7/4/2019
2.4.8 3,373 7/4/2019
2.4.7 220,300 5/28/2019
2.4.6 124,601 4/22/2019
2.4.5 65,589 4/8/2019
2.4.4 94,005 3/18/2019
2.4.3 35,812 3/5/2019
2.4.2 9,204 3/3/2019
2.4.1 337,485 3/3/2019
2.4.0 217,514 2/4/2019
2.3.9 86,884 1/31/2019
2.3.8 19,691 1/29/2019
2.3.7 98,898 1/4/2019
2.3.6 18,876 12/27/2018
2.3.5 69,573 12/10/2018
2.3.4 21,362 11/27/2018
2.3.3 3,694 11/27/2018
2.3.2 13,169 11/26/2018
2.3.1 13,637 11/25/2018
2.3.0 13,624 11/23/2018
2.2.9 11,687 11/23/2018
2.2.8 3,912 11/22/2018
2.2.7 4,126 11/22/2018
2.2.6 69,057 11/21/2018
2.2.5 8,331 11/16/2018
2.2.4 34,035 11/14/2018
2.2.3 15,680 11/11/2018
2.2.2 55,440 11/8/2018
2.2.1 7,830 11/8/2018
2.2.0 123,824 11/8/2018
2.1.9 58,132 10/28/2018
2.1.8 35,646 10/10/2018
2.1.7 136,034 7/26/2018
2.1.6 13,866 7/13/2018
2.1.5 6,542 7/12/2018
2.1.4 14,315 7/7/2018
2.1.3 11,490 6/24/2018
2.1.2 11,109 6/21/2018
2.1.1 32,463 6/14/2018
2.1.0 22,305 6/11/2018
2.0.9 9,993 6/11/2018
2.0.8 131,390 5/15/2018
2.0.7 31,869 3/28/2018
2.0.6 7,739 3/24/2018
2.0.5 18,184 2/12/2018
2.0.4 4,331 2/6/2018
2.0.3 5,052 1/30/2018
2.0.2 14,659 11/13/2017
2.0.1 12,786 9/7/2017
2.0.0 18,582 9/4/2017
2.0.0-rc 3,589 9/4/2017
1.1.0 5,937 9/4/2017
1.0.8 4,119 8/31/2017
1.0.7 5,001 8/15/2017
1.0.6 4,324 8/9/2017
1.0.5 5,097 7/11/2017
1.0.4 4,533 6/23/2017
1.0.3 4,432 5/30/2017
1.0.2 4,789 5/15/2017
1.0.1 4,191 5/12/2017
1.0.0 11,111 5/12/2017

Batch QuotedSegment fixed and simplified