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System.Dynamic.Linq.Core + PostreSql调用date_part函数(sql中调用函数)

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以上就是给各位分享System.Dynamic.Linq.Core+PostreSql调用date_part函数,其中也会对sql中调用函数进行解释,同时本文还将给你拓展AerodynamicsPar

以上就是给各位分享System.Dynamic.Linq.Core + PostreSql调用date_part函数,其中也会对sql中调用函数进行解释,同时本文还将给你拓展Aerodynamics Parameter Quarter System v1.4.4.210324_alpha 已经发布、Artificial intelligence requires trusted data, and a healthy DataOps ecosystem、asp.net – System.Linq.Dynamic不支持OrderByDescending(“someColumn”)?、asp.net – 无法从’System.Data.Linq.Binary’转换为’System.IO.BinaryReader’等相关知识,如果能碰巧解决你现在面临的问题,别忘了关注本站,现在开始吧!

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System.Dynamic.Linq.Core + PostreSql调用date_part函数(sql中调用函数)

System.Dynamic.Linq.Core + PostreSql调用date_part函数(sql中调用函数)

如何解决System.Dynamic.Linq.Core + PostreSql调用date_part函数?

大家好,抱歉我的英语不好!

我正在使用Entity Framework Core 5 + Postgre + dynamic linq core

做一些测试

我的DataContext定义如下:

 public class Context: DbContext {

    public DbSet<Models.Anagrafica> Anagrafiche {get; set; }

    protected override void OnConfiguring(DbContextOptionsBuilder optionsBuilder)
    {
        optionsBuilder.UseNpgsql(@"Host=XYZ;Database=XYZ;Username=XYZ;Password=XYZ");
        base.OnConfiguring(optionsBuilder);
    }

    protected override void OnModelCreating(ModelBuilder modelBuilder)
    {
        modelBuilder.Entity<Models.Anagrafica>().ToTable("Anagrafiche");
        modelBuilder.Entity<Models.Anagrafica>().Property(p => p.Id)HasColumnName("id");
        modelBuilder.Entity<Models.Anagrafica>().Property(p => p.Ragionesociale).HasColumnName ("ragionesociale");
        modelBuilder.Entity<Models.Anagrafica>().Property(p => p.DataAttivazione).HasColumnName("dataattivazione");
        base.OnModelCreating (modelBuilder);
    }
}

实体Anagrafica的定义如下:

public class Anagrafica {
    public int Id { get; set; }
    public string Ragionesociale { get; set; }
    public DateTime? DataAttivazione { get; set; }
}

问题: 可以在哪里使用date_part函数吗?

如果我运行代码

var data =  context.Anagrafiche.Where("date_part(\"week\",dataattivazione) = @0",1).ToList();

我收到错误消息

System.Linq.Dynamic.Core.Exceptions.ParseException:''类型''Anagrafica''中不存在适用的方法''date_part''

是否可以在Dynamic Linq中使用数据库功能和/或UDF? 如果可以的话,我错了吗?

谢谢!

解决方法

暂无找到可以解决该程序问题的有效方法,小编努力寻找整理中!

如果你已经找到好的解决方法,欢迎将解决方案带上本链接一起发送给小编。

小编邮箱:dio#foxmail.com (将#修改为@)

Aerodynamics Parameter Quarter System v1.4.4.210324_alpha 已经发布

Aerodynamics Parameter Quarter System v1.4.4.210324_alpha 已经发布

Aerodynamics Parameter Quarter System v1.4.4.210324_alpha 已经发布

此版本更新内容包括:

功能:

  1. 计算正激波、斜激波参数;
  2. 绘制对应的参数变化图;
  3. 通过按键-= 对图像进行切换;
  4. 可以记录已查数据并导出;
  5. 可批量导入数据进行计算(请务必参考提供的表格模板DataTemplate.xlsx形式填写,通过该软件自行生成);
  6. 可在图上使用Shift+左键或按下滚轮键进行选点,并在数据栏显示相应参数;
  7. 可对已绘制的图像保存。
  8. 其他功能及使用方法请参考空气动力学激波参数计算系统使用手册 配置环境

请务必确认已经安装了MATLAB Runtime 9.9,若没有,点击此处下载正确版本并安装 Verify that version 9.9 (R2020b) of the MATLAB Runtime is installed.

详情查看:https://gitee.com/Sirius0v0/aerodynamics-parameter-quarter-system/releases/v1.4.4.210324_alpha

Artificial intelligence requires trusted data, and a healthy DataOps ecosystem

Artificial intelligence requires trusted data, and a healthy DataOps ecosystem

http://www.zdnet.com/article/artificial-intelligence-requires-trusted-data-and-a-healthy-dataops-ecosystem/


Lately, we''ve seen many "x-Ops" management practices appear on the scene, all derivatives from DevOps, which seeks to coordinate the output of developers and operations teams into a smooth, consistent and rapid flow of software releases. Another emerging practice, DataOps, seeks to achieve a similarly smooth, consistent and rapid flow of data through enterprises. Like many things these days, DataOps is spilling over from the large Internet companies, who process petabytes and exabytes of information on a daily basis. 

conference-hall-gaylord-national-convention-center-september-2013-cropped-photo-by-joe-mckendrick.jpg

Photo: Joe McKendrick

Such an uninhibited data flow is increasingly vital to enterprises seeking to become more data-driven and scale artificial intelligence and machine learning to the point where these technologies can have strategic impact. 

Awareness of DataOps is high. A recent survey of 300 companies by 451 Research finds 72 percent have active DataOps efforts underway, and the remaining 28 percent are planning to do so over the coming year.  A majority, 86 percent, are increasing their spend on DataOps projects to over the next 12 months. Most of this spending will go to analytics, self-service data access, data virtualization, and data preparation efforts. 

In the report, 451 Research analyst Matt Aslett defines DataOps as "The alignment of people, processes and technology to enable more agile and automated approaches to data management."

The catch is "most enterprises are unprepared, often because of behavioral norms -- like territorial data hoarding -- and because they lag in their technical capabilities -- often stuck with cumbersome extract, transform, and load (ETL) and master data management (MDM) systems," according to Andy Palmer and a team of co-authors in their latest report, Getting DataOps Right, published by O''Reilly. Across most enterprises, data is siloed, disconnected, and generally inaccessible. There is also an abundance of data that is completely undiscovered, of which decision-makers are not even aware. 

Here are some of Palmer''s recommendations for building and shaping a well-functioning DataOps ecosystem:   

Keep it open: The ecosystem in DataOps should resemble DevOps ecosystems in which there are many best-of-breed free and open source software and proprietary tools that are expected to interoperate via APIs." This also includes carefully evaluating and selecting from the raft of tools that have been developed by the large internet companies. 

Automate it all: The collection, ingestion, organizing, storage and surfacing of massive amounts of data at as close to a near-real-time pace as possible has become almost impossible for humans to manage. Let the machines do it, Palmer urges. Areas ripe for automaton include "operations, repeatability, automated testing, and release of data." Look to the ways DevOps is facilitating the automation of the software build, test, and release process, he points out.  

Process data in both batch and streaming modes. While DataOps is about real-time delivery of data, there''s still a place -- and reason -- for batch mode as well. "The success of Kafka and similar design patterns has validated that a healthy next-generation data ecosystem includes the ability to simultaneously process data from source to consumption in both batch and streaming modes," Palmer points out.   

Track data lineage: Trust in the data is the single most important element in a data-driven enterprise, and it simply may cease to function without it. That''s why well-thought-out data governance and a metadata (data about data) layer is important. "A focus on data lineage and processing tracking across the data ecosystem results in reproducibility going up and confidence in data increasing," says Palmer. 

Have layered interfaces. Everyone touches data in different ways. "Some power users need to access data in its raw form, whereas others just want to get responses to inquiries that are well formulated," Palmer says. That''s why a layered set of services and design patterns is required for the different personas of users. Palmer says there are three approaches to meeting these multilayered requirements:

  • "Data access services that are "View" abstractions over the data and are essentially SQL or SQL-like interfaces. This is the power-user level that data scientists prefer. 
  • "Messaging services that provide the foundation for stateful data interchange, event processing, and data interchange orchestration. 
  • "REST services built on or wrapped around APIs providing the ultimate flexible direct access to and interchange of data."

Business leaders are increasingly leaning on their technology leaders and teams to transform their organizations into data-driven digital entities that can react to events and opportunities almost instantaneously. The best way to accomplish this -- especially with the meager budgets and limited support that gets thrown out with this mandate -- is to align the way data flows from source to storage. 

asp.net – System.Linq.Dynamic不支持OrderByDescending(“someColumn”)?

asp.net – System.Linq.Dynamic不支持OrderByDescending(“someColumn”)?

好吧,在我们的项目中,我正在使用System.Linq.Dynamic库,但我只是注意到我无法完成以下操作:

myDataSource.OrderByDescending( “someColumnName”)

因为我收到以下错误:

重载解析失败,因为无法使用这些参数调用可访问的OrderByDescending …

似乎Library只支持OrderBy(“someColumnName”)。是否有这样的原因,如果我想按降序重新排序记录,我将如何绕过这个问题?我是否必须使用Reverse()例如OrderBy(“someColumnName”)。Reverse()?看起来像黑客……

任何建议将不胜感激…

解决方法

假设您正在使用Microsoft示例库中的DynamicQuery Helper文件(位于命名空间System.Linq.Dynamic中),那么在阅读源代码之后,您需要指定所需的顺序,如下所示:
myDataSource.OrderBy("someColumnName descending")

asp.net – 无法从’System.Data.Linq.Binary’转换为’System.IO.BinaryReader’

asp.net – 无法从’System.Data.Linq.Binary’转换为’System.IO.BinaryReader’

我的表列是:

AttachContent   varbinary   (max)

当我尝试检索数据时,我得到以下错误,我正在使用linq

无法从’System.Data.Linq.Binary’转换为’System.IO.BinaryReader’

解决方法

System.Data.Linq.Binary包含一个字节数组.您可以像这样直接使用它:

Binary binary = //your linq object
byte[] array = binary.ToArray();

如果你必须在字节数组上有一个BinaryReader,你可以像这样包装它:

BinaryReader reader = new BinaryReader(new MemoryStream(binary.ToArray()));

今天关于System.Dynamic.Linq.Core + PostreSql调用date_part函数sql中调用函数的介绍到此结束,谢谢您的阅读,有关Aerodynamics Parameter Quarter System v1.4.4.210324_alpha 已经发布、Artificial intelligence requires trusted data, and a healthy DataOps ecosystem、asp.net – System.Linq.Dynamic不支持OrderByDescending(“someColumn”)?、asp.net – 无法从’System.Data.Linq.Binary’转换为’System.IO.BinaryReader’等更多相关知识的信息可以在本站进行查询。

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