数据存储引擎是本项目里比较有特色的模块。
特色一,使用接口来对应不同的数据库。数据库可以是Oracle、Sqlserver、MogoDB、甚至是XML文件。采用接口进行对应:
1 public interface IWorkflowDB 2 { 3 ListGetFlows(); 4 bool SaveFlow(Flow flow); 5 bool DeleteFlow(Guid flowId); 6 7 FlowInstance GetFlowInstanceByInstanceId(Guid flowInstanceId); 8 List GetFlowInstanceByFlowId(Guid flowId); 9 bool SaveFlowInstance(FlowInstance flowInstance);10 List GetFlowInstancesListByUser(Person person = null);11 bool DeleteFlowInstanceByInstanceId(Guid flowInstanceId);12 13 bool SaveForm(Form form);14 bool DeleteForm(Guid formId);15 List
这样系统里一共只用了四个表,包括一个临时表,每个表不超过三个字段。
WORKFLOW_SETTINGS表:(存储系统设置参数、流程等)
WORKFLOW_FORM表:(存储系统表单)
WORKFLOW_FLOW表:(存储流程实例)
还有一个temp表,一行一列,字段为CLOB类型。
XMLType里面存储的是什么呢?不错,正是各个类的实例,序列化后的字符:
实际存储的方式:
保存时:类的实例-->XML序列化-->直接用Oracle的XMLtype存储;
读取时:读出数据-->反序列化-->类的实例直接可用。
这样就能方便的解决实体模型或领域模型与数据库存储之间“阻抗不匹配的”的问题。而且XMLType可以被SQLServer等主流数据库支持,所以迁移到其他数据库也很方便;如果你要使用常规的建表规则进行存储,只要实现IWorkflowDB接口即可。
序列化反序列化的方法,使用了扩展方法,可以放在项目里任何一个静态类里:
1 public static string ToSerializableXML(this T t) 2 { 3 XmlSerializer mySerializer = new XmlSerializer(typeof (T)); 4 StringWriter sw = new StringWriter(); 5 mySerializer.Serialize(sw, t); 6 return sw.ToString(); 7 } 8 9 public static T ToEntity (this string xmlString)10 {11 var xs = new XmlSerializer(typeof (T));12 var srReader = new StringReader(xmlString);13 var steplist = (T) xs.Deserialize(srReader);14 return steplist;15 }
注意:有些类不能被序列化,比如Dictionary<TKey,TValue>,需要自己写可序列化的类。
好啦,接下来是实现IWorkflowDB接口的OracleWorkFlowDBUtility类,以存储工作流表单为例:
存储:
1 public bool SaveForm(Form form) 2 { 3 var formContent = form.FormContent; 4 var formId = form.FormId; 5 form.FormContent = string.Empty; 6 7 var sql = string.Empty; 8 9 DbHelperOra.ExecuteSql("truncate table WORKFLOW_TEMP");10 var para = new OracleParameter("formInfo", OracleType.Clob);11 para.Value = form.ToSerializableXML();12 DbHelperOra.ExecuteSql("insert into WORKFLOW_TEMP(content) values (:formInfo)", para);13 14 var paras = new[]15 {16 new OracleParameter("formId", formId.ToString()),17 new OracleParameter("formContent", formContent)18 };19 if (DbHelperOra.GetSingle("select count(*) from WORKFLOW_FORM where form_id = :formId",20 new OracleParameter("formId", formId.ToString())).ToString() == "1")21 {22 sql =23 "update WORKFLOW_FORM set FORM_INFO = (select sys.xmlType.createXML(WORKFLOW_TEMP.content) from WORKFLOW_TEMP), FORM_CONTENT = :formContent where FORM_ID = :formId";24 }25 else26 {27 sql =28 "insert into WORKFLOW_FORM(FORM_ID,FORM_INFO,FORM_CONTENT) values (:formId,(select sys.xmlType.createXML(WORKFLOW_TEMP.content) from WORKFLOW_TEMP),:formContent)";29 }30 31 return DbHelperOra.ExecuteSql(sql, paras).ToString() == "1";32 }
读取:
1 public List
删除:
1 public bool DeleteForm(Guid formId) 2 { 3 try 4 { 5 if(DbHelperOra.ExecuteSql("delete from WORKFLOW_FORM where form_id = :formid", 6 new OracleParameter("formid", formId.ToString())).ToString(CultureInfo.InvariantCulture)=="1") 7 return true; 8 return false; 9 }10 catch (Exception ex)11 {12 return false;13 }14 }
一切都很简单,没有恼人的一列列字段名,也不用ORM、代码生成器等,开发、维护效率大幅度提高。
数据访问类实例化在WorkflowService类里面
先定义私有变量:
private readonly IWorkflowDB _iWorkflowDb;
然后在类的构造函数里这么写:
1 public WorkflowService(IWorkflowDB workflowDb, IWorkflowMethods workflowMethods)2 {3 _iWorkflowDb = workflowDb;4 _iWorkflowMethods = workflowMethods;5 6 }
使用简单工厂返回类的实例:
1 ///2 /// 程序主调用方法 3 /// 4 ///5 public static WorkflowService GetWorkflowService() 6 { 7 IWorkflowDB iWorkflowDb; 8 try 9 {10 string dbSavingProvider = WorkFlowUtility.GetConfiguration("DataBaseProvider").ToLower();11 switch (dbSavingProvider)12 {13 case "oracle":14 iWorkflowDb = new OracleWorkFlowDBUtility();15 break;16 case "sqlserver":17 //iWorkflowDb = new SqlServerWorkFlowDBUtility();18 //break;19 default:20 iWorkflowDb = (IWorkflowDB) Assembly.Load(dbSavingProvider).CreateInstance(dbSavingProvider);21 break;22 }23 24 }25 catch (Exception)26 {27 throw new WorkFlowConfigurationNotImplementException("数据库配置失败!");28 }
这样能在不同的项目中自由配置数据存储方式了。
如果要提高查询效率,比如报表,就可以这么写查询:
1 select rownum "序号", t.dw "单位",vt.groupname || vs.groupname "团支部",t.xh "学号",t.xm "姓名",t.xb "性别",t.csrq "出生年月", t.zzmm "政治面貌", t.zc "职称", t.gzsj "工作时间", t.lxdh "联系电话" from 2 (select f.instance_id, 3 f.instance_content.extract('//FlowInstance/Creator/@PersonId').getstringval() xh, 4 max(decode(x.key,'c57e4eb1-834c-491f-a1b5-b8b67f1ed160',x.value,null)) dw, 5 max(decode(x.key,'6008c07f-617b-4607-8fe2-6a384c75ea8a',x.value,null)) xm, 6 max(decode(x.key,'1153c641-7567-44ce-85c8-fcb0230d5cf7',x.value,null)) xb, 7 max(decode(x.key,'76936043-17e0-40b7-9adc-22e88d461082',x.value,null)) csrq, 8 max(decode(x.key,'22c6f1c5-d07b-45ba-9752-1118fdafee4c',x.value,null)) zzmm, 9 max(decode(x.key,'47b32ce0-828e-4179-bf11-2ace0028fda5',x.value,null)) zc,10 max(decode(x.key,'a5cd9229-c8f9-4fb4-ba4f-e8157eeefa04',x.value,null)) gzsj,11 max(decode(x.key,'9d2984f9-a5c5-474d-807a-cd756b961615',x.value,null)) lxdh12 from WORKFLOW_FLOW f,13 XMLTable( '/FlowInstance/FlowStepInstances/FlowInstanceStep/WriteValues/SerializableDictionary'14 passing f.instance_content15 COLUMNS key VARCHAR2(40) PATH 'key',16 value VARCHAR2(100) PATH 'value') x17 where f.instance_content.extract('//FlowInstance/Flow/@FlowId').getstringval() = 'e2f35ac0-d5aa-4413-af54-2cf4fe3759ef'18 and to_date(substr(f.instance_content.extract('//FlowInstance/@CreateDate').getstringval(), 0, 10), 'YYYY-MM-DD')19 between to_date('2015-01-01','yyyy-mm-dd') and to_date('2015-06-01','yyyy-mm-dd')20 group by f.instance_id, f.instance_content.extract('//FlowInstance/Creator/@PersonId').getstringval()) t21 left outer join vm_tuanwei_teachergr vt on t.xh = vt.gh22 left outer join vm_tuanwei_studentgr vs on t.xh = vs.xh
查出来的结果如下图:
好啦,大家对我数据存储方式有什么意见,可以就此进行讨论。
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- .net之工作流工程展示及代码分享(五)前端交互