JRuby, ActiveRecord, JDBC to SQL Server

本文介绍了一种使用JRuby和ActiveRecord通过JDBC连接到SQL Server的方法,避免了复杂的ODBC配置过程。此方案仅需少量代码即可实现,并且便于进行单元测试。

JRuby, ActiveRecord, JDBC to SQL Server

I recently had to figure out a good way to export data in XML form from a SQL Server database. I searched high and low for a good ActiveRecord adapter written in pure Ruby to talk to SQL Server. Unfortunately, the setup and overhead to get the right ODBC driver, DSN configs, and all those funky libraries to work properly on any *Nix-based machine were adding up way too quickly and complicating matters. So back to the drawing board.

RESTful service from .NET – no

Way too much work for such a simple task that only runs but once a week. Beside anything Microsoft is my nemesis and I am not even going to put my toe in that water.

SQL Server bcp export – no.

The bottom line – writing code in your database is always bad news. Sure the bcp export is the quick and dirty, but it might be too quick and dirty. It can make upgrades and migrations almost impossible. Just think how difficult it would be to migrate from SQL Server to say MySQL if the use of the bcp utility compounds over time. More importantly, how do you test it?

JDBC – yes!

Really? I was kind of shocked to learn that Microsoft jumped on the Java bandwagon and wrote a JDBC adapter. Woo-hoo!  Wait…I don’t want to write a bunch of junky DAO’s in Java.

Enter – my good friends JRuby and ActiveRecord.

I can write sweet sugary Ruby code while utilizing the power of any or all of the existing Java libraries – which so happens to include JDBC!

So in order to glue this together it is quite simple.

  • First install JRuby, it’s simple and there are 2 million blog posts about how to do this, all you need is Java pre-installed on your machine. Download it here from here.
  • jruby> gem install activerecord
  • jruby> gem install activerecord-jdbc-adapter
  • Download the SQL Server JDBC driver JAR, I recommend getting version 2 or higher
  • activerecord-jdbc-adapter is a nifty JRuby specific gem that acts as an adapter for ActiveRecord to speak JDBC  (yet another thanks to Nick Sieger).

Once your have these things installed you can write a simple Ruby class to establish the connection and define any number of ActiveRecord classes to map to the tables you’re after. Here is a small snippet on how easy it is to connect to SQL Server using this technique.

#assuming this file is inline with your sqljdbc.jar or just put it into your $JRUBY_HOME/lib directory



require 'rubygems'
require 'active_record'
require 'active_record/connection_adapters/jdbc_adapter'
require 'sqljdbc4.jar'

ActiveRecord::Base.establish_connection(
      :adapter => "jdbc",
      :username => "XXXX",
      :password => "XXXX",
      :driver => "com.microsoft.sqlserver.jdbc.SQLServerDriver",
      :url=> "jdbc:sqlserver://Server;databaseName=XXXX"
)

class Tclient < ActiveRecord::Base
	set_table_name "CLIENT"
end

puts Tclient.column_names()

Approximately 10 lines of actual code and you’re done. It can’t be done any more elegant or simple than that. Here is the really beauty part, you can actually test your “script”. Use RSpec or TestUnit, but it is tested! Let cron or whatever scheduling mechanism of your choice run your script with confidence

基于数据驱动的 Koopman 算子的递归神经网络模型线性化,用于纳米定位系统的预测控制研究(Matlab代码实现)内容概要:本文围绕“基于数据驱动的Koopman算子的递归神经网络模型线性化”展开,旨在研究纳米定位系统的预测控制问题,并提供完整的Matlab代码实现。文章结合数据驱动方法与Koopman算子理论,利用递归神经网络(RNN)对非线性系统进行建模与线性化处理,从而提升纳米级定位系统的精度与动态响应性能。该方法通过提取系统隐含动态特征,构建近似线性模型,便于后续模型预测控制(MPC)的设计与优化,适用于高精度自动化控制场景。文中还展示了相关实验验证与仿真结果,证明了该方法的有效性和先进性。; 适合人群:具备一定控制理论基础和Matlab编程能力,从事精密控制、智能制造、自动化或相关领域研究的研究生、科研人员及工程技术人员。; 使用场景及目标:①应用于纳米级精密定位系统(如原子力显微镜、半导体制造设备)中的高性能控制设计;②为非线性系统建模与线性化提供一种结合深度学习与现代控制理论的新思路;③帮助读者掌握Koopman算子、RNN建模与模型预测控制的综合应用。; 阅读建议:建议读者结合提供的Matlab代码逐段理解算法实现流程,重点关注数据预处理、RNN结构设计、Koopman观测矩阵构建及MPC控制器集成等关键环节,并可通过更换实际系统数据进行迁移验证,深化对方法泛化能力的理解。
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