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  • Notifications for Expiring DBSNMP Passwords

    - by Courtney Llamas
    Most user accounts these days have a password profile on them that automatically expires the password after a set number of days.   Depending on your company’s security requirements, this may be as little as 30 days or as long as 365 days, although typically it falls between 60-90 days. For a normal user, this can cause a small interruption in your day as you have to go get your password reset by an admin. When this happens to privileged accounts, such as the DBSNMP account that is responsible for monitoring database availability, it can cause bigger problems. In Oracle Enterprise Manager 12c you may notice the error message “ORA-28002: the password will expire within 5 days” when you connect to a target, or worse you may get “ORA-28001: the password has expired". If you wait too long, your monitoring will fail because the password is locked out. Wouldn’t it be nice if we could get an alert 10 days before our DBSNMP password expired? Thanks to Oracle Enterprise Manager 12c Metric Extensions (ME), you can! See the Oracle Enterprise Manager Cloud Control Administrator’s Guide for more information on Metric Extensions. To create a metric extension, select Enterprise / Monitoring / Metric Extensions, and then click on Create. On the General Properties screen select either Cluster Database or Database Instance, depending on which target you need to monitor.  If you have both RAC and Single instance you may need to create one for each. In this example we will create a Cluster Database metric.  Enter a Name for the ME and a Display Name. Then select SQL for the Adapter.  Adjust the Collection Schedule as desired, for this example we will collect this metric every 1 day. Notice for metric collected every day, we can determine the exact time we want to collect. On the Adapter page, enter the query that you wish to execute.  In this example we will use the query below that specifically checks for the DBSNMP user that is expiring within 10 days. Of course, you can adjust this query to alert for any user that can cause an outage such as an application account or service account such as RMAN. select username, account_status, trunc(expiry_date-sysdate) days_to_expirefrom dba_userswhere username = 'DBSNMP'and expiry_date is not null; The next step is to create the columns to store the data returned from the query.  Click Add and add a column for each of the fields in the same order that data is returned.  The table below will help you complete the column additions. Name Display Name Column Type Value Type Metric Category Unit Username User Name Key String Security AccountStatus Account Status Data String Security DaysToExpire Days Until Expiration Data Number Security Days When creating the DaysToExpire column, you can add a default threshold here for Warning and Critical (say < 10 and 5).  When all columns have been added, click Next. On the Credentials page, you can choose to use the default monitoring credentials or specify new credentials.  We will use the default credentials established for our target (dbsnmp). The next step is to test your Metric Extension.  Click on Add to select a target for testing, then click Select. Now click the button Run Test to execute the test against the selected target(s). We can see in the example below that the Metric Extension has executed and returned a value of 68 days to expire. Click Next to proceed. Review the metric extension in the final screen and click Finish. The metric will be created in Editable status.  Select the metric, click Actions and select Deployable Draft. You can do this once more to move to Published. Finally, we want to apply this metric to a target. When managing many targets, it’s best to add your metric to a template, for details on adding a Metric Extension to a template see the Administrator’s Guide. For this example, we will deploy this to a target directly. Select Actions / Deploy to Targets. Click Add and select the target you wish to deploy to and click Submit.  Once deployment is complete, we can go to the target and view the Metric & Collection Settings to see the new metric and its thresholds.   After some time, you will find the metric has collected and the days to expiration for DBSNMP user can be seen in the All Metrics view.   For metrics collected once per day, you may have to wait up to 24 hours to see the metric and current severity. In the example below, the current severity is Clear (green check) as it is not scheduled to expire within 10 days. To test the notification, we can edit the thresholds for the new metric so they trigger an alert.  Our password expires in 139 days, so we’ll change our Warning to 140 and leave Critical at 5, in our example we also changed the collection time to every 5 minutes.  At the next collection, you’ll find that the current severity changes to a Warning and any related Incident Rules would be triggered to create an Incident or Notification as desired. Now that you get a notification that your DBSNMP passwords is about to expire, you can use OEM Command Line Interface (EM CLI) verb update_db_password to change it at both the database target and the OEM target in one step.  The caveat is you must know the existing password to use the update_db_password command.  To learn more about EM CLI, see the Oracle Enterprise Manager Command Line Interface Guide.  Below is an example of changing the password with the update_db_password verb.  $ ./emcli update_db_password -target_name=emrep -target_type=oracle_database -user_name=dbsnmp -change_at_target=yes -change_all_references=yes Enter value for old_password :Enter value for new_password :Enter value for retype_new_password :Successfully submitted a job to change the password in Enterprise Manager and on the target database: "emrep"Execute "emcli get_jobs -job_id=FA66C1C4D663297FE0437656F20ACC84" to check the status of the job.Search for job name "CHANGE_PWD_JOB_FA66C1C4D662297FE0437656F20ACC84" on the Jobs home page to check job execution details. The subsequent job created will typically run quickly enough that a blackout is not needed, however if you submit a script with many targets to change, your job may run slower so adding a blackout to the script is recommended. $ ./emcli get_jobs -job_id=FA66C1C4D663297FE0437656F20ACC84 Name Type Job ID Execution ID Scheduled Completed TZ Offset Status Status ID Owner Target Type Target Name CHANGE_PWD_JOB_FA66C1C4D662297FE0437656F20ACC84 ChangePassword FA66C1C4D663297FE0437656F20ACC84 FA66C1C4D665297FE0437656F20ACC84 2014-05-28 09:39:12 2014-05-28 09:39:18 GMT-07:00 Succeeded 5 SYSMAN oracle_database emrep After implementing the above Metric Extension and using the EM CLI update_db_password verb, you will be able to stay on top of your DBSNMP password changes without experiencing an unplanned monitoring outage.  

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  • data is not inserting in my db table [closed]

    - by Sarojit Chakraborty
    Please see my below(SubjectDetailsDao.java) code of addZoneToDb method. My debugger is nicely running upto ** session.getTransaction().commit();** code. but after that debugger stops,I do not know why it stops after that line? .And because of this i am unable to insert my data into my database table. I don't know what to do.Why it is not inserting my data into my database table? Plz help me for this. H Now i am getting this Error: Struts Problem Report Struts has detected an unhandled exception: Messages: org.hibernate.event.PreInsertEvent.getSource()Lorg/hibernate/event/EventSource; File: org/hibernate/validator/event/ValidateEventListener.java Line number: 172 Stacktraces java.lang.reflect.InvocationTargetException sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) java.lang.reflect.Method.invoke(Method.java:601) com.opensymphony.xwork2.DefaultActionInvocation.invokeAction(DefaultActionInvocation.java:441) com.opensymphony.xwork2.DefaultActionInvocation.invokeActionOnly(DefaultActionInvocation.java:280) com.opensymphony.xwork2.DefaultActionInvocation.invoke(DefaultActionInvocation.java:243) com.opensymphony.xwork2.interceptor.DefaultWorkflowInterceptor.doIntercept(DefaultWorkflowInterceptor.java:165) com.opensymphony.xwork2.interceptor.MethodFilterInterceptor.intercept(MethodFilterInterceptor.java:87) com.opensymphony.xwork2.DefaultActionInvocation.invoke(DefaultActionInvocation.java:237) com.opensymphony.xwork2.validator.ValidationInterceptor.doIntercept(ValidationInterceptor.java:252) org.apache.struts2.interceptor.validation.AnnotationValidationInterceptor.doIntercept(AnnotationValidationInterceptor.java:68) com.opensymphony.xwork2.interceptor.MethodFilterInterceptor.intercept(MethodFilterInterceptor.java:87) com.opensymphony.xwork2.DefaultActionInvocation.invoke(DefaultActionInvocation.java:237) com.opensymphony.xwork2.interceptor.ConversionErrorInterceptor.intercept(ConversionErrorInterceptor.java:122) com.opensymphony.xwork2.DefaultActionInvocation.invoke(DefaultActionInvocation.java:237) com.opensymphony.xwork2.interceptor.ParametersInterceptor.doIntercept(ParametersInterceptor.java:195) com.opensymphony.xwork2.interceptor.MethodFilterInterceptor.intercept(MethodFilterInterceptor.java:87) com.opensymphony.xwork2.DefaultActionInvocation.invoke(DefaultActionInvocation.java:237) com.opensymphony.xwork2.interceptor.ParametersInterceptor.doIntercept(ParametersInterceptor.java:195) com.opensymphony.xwork2.interceptor.MethodFilterInterceptor.intercept(MethodFilterInterceptor.java:87) com.opensymphony.xwork2.DefaultActionInvocation.invoke(DefaultActionInvocation.java:237) com.opensymphony.xwork2.interceptor.StaticParametersInterceptor.intercept(StaticParametersInterceptor.java:179) com.opensymphony.xwork2.DefaultActionInvocation.invoke(DefaultActionInvocation.java:237) org.apache.struts2.interceptor.MultiselectInterceptor.intercept(MultiselectInterceptor.java:75) com.opensymphony.xwork2.DefaultActionInvocation.invoke(DefaultActionInvocation.java:237) org.apache.struts2.interceptor.CheckboxInterceptor.intercept(CheckboxInterceptor.java:94) com.opensymphony.xwork2.DefaultActionInvocation.invoke(DefaultActionInvocation.java:237) org.apache.struts2.interceptor.FileUploadInterceptor.intercept(FileUploadInterceptor.java:235) com.opensymphony.xwork2.DefaultActionInvocation.invoke(DefaultActionInvocation.java:237) com.opensymphony.xwork2.interceptor.ModelDrivenInterceptor.intercept(ModelDrivenInterceptor.java:89) com.opensymphony.xwork2.DefaultActionInvocation.invoke(DefaultActionInvocation.java:237) com.opensymphony.xwork2.interceptor.ScopedModelDrivenInterceptor.intercept(ScopedModelDrivenInterceptor.java:130) com.opensymphony.xwork2.DefaultActionInvocation.invoke(DefaultActionInvocation.java:237) org.apache.struts2.interceptor.debugging.DebuggingInterceptor.intercept(DebuggingInterceptor.java:267) com.opensymphony.xwork2.DefaultActionInvocation.invoke(DefaultActionInvocation.java:237) com.opensymphony.xwork2.interceptor.ChainingInterceptor.intercept(ChainingInterceptor.java:126) com.opensymphony.xwork2.DefaultActionInvocation.invoke(DefaultActionInvocation.java:237) com.opensymphony.xwork2.interceptor.PrepareInterceptor.doIntercept(PrepareInterceptor.java:138) com.opensymphony.xwork2.interceptor.MethodFilterInterceptor.intercept(MethodFilterInterceptor.java:87) com.opensymphony.xwork2.DefaultActionInvocation.invoke(DefaultActionInvocation.java:237) com.opensymphony.xwork2.interceptor.I18nInterceptor.intercept(I18nInterceptor.java:165) com.opensymphony.xwork2.DefaultActionInvocation.invoke(DefaultActionInvocation.java:237) org.apache.struts2.interceptor.ServletConfigInterceptor.intercept(ServletConfigInterceptor.java:164) com.opensymphony.xwork2.DefaultActionInvocation.invoke(DefaultActionInvocation.java:237) com.opensymphony.xwork2.interceptor.AliasInterceptor.intercept(AliasInterceptor.java:179) com.opensymphony.xwork2.DefaultActionInvocation.invoke(DefaultActionInvocation.java:237) com.opensymphony.xwork2.interceptor.ExceptionMappingInterceptor.intercept(ExceptionMappingInterceptor.java:176) com.opensymphony.xwork2.DefaultActionInvocation.invoke(DefaultActionInvocation.java:237) org.apache.struts2.impl.StrutsActionProxy.execute(StrutsActionProxy.java:52) org.apache.struts2.dispatcher.Dispatcher.serviceAction(Dispatcher.java:488) org.apache.struts2.dispatcher.ng.ExecuteOperations.executeAction(ExecuteOperations.java:77) org.apache.struts2.dispatcher.ng.filter.StrutsPrepareAndExecuteFilter.doFilter(StrutsPrepareAndExecuteFilter.java:91) org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:243) org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:210) org.apache.catalina.core.StandardWrapperValve.invoke(StandardWrapperValve.java:240) org.apache.catalina.core.StandardContextValve.invoke(StandardContextValve.java:164) org.apache.catalina.authenticator.AuthenticatorBase.invoke(AuthenticatorBase.java:498) org.apache.catalina.core.StandardHostValve.invoke(StandardHostValve.java:164) org.apache.catalina.valves.ErrorReportValve.invoke(ErrorReportValve.java:100) org.apache.catalina.valves.AccessLogValve.invoke(AccessLogValve.java:562) org.apache.catalina.core.StandardEngineValve.invoke(StandardEngineValve.java:118) org.apache.catalina.connector.CoyoteAdapter.service(CoyoteAdapter.java:394) org.apache.coyote.http11.Http11Processor.process(Http11Processor.java:243) org.apache.coyote.http11.Http11Protocol$Http11ConnectionHandler.process(Http11Protocol.java:188) org.apache.tomcat.util.net.JIoEndpoint$SocketProcessor.run(JIoEndpoint.java:302) java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1110) java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:603) java.lang.Thread.run(Thread.java:722) java.lang.NoSuchMethodError: org.hibernate.event.PreInsertEvent.getSource()Lorg/hibernate/event/EventSource; org.hibernate.validator.event.ValidateEventListener.onPreInsert(ValidateEventListener.java:172) org.hibernate.action.EntityInsertAction.preInsert(EntityInsertAction.java:156) org.hibernate.action.EntityInsertAction.execute(EntityInsertAction.java:49) org.hibernate.engine.ActionQueue.execute(ActionQueue.java:250) org.hibernate.engine.ActionQueue.executeActions(ActionQueue.java:234) org.hibernate.engine.ActionQueue.executeActions(ActionQueue.java:141) org.hibernate.event.def.AbstractFlushingEventListener.performExecutions(AbstractFlushingEventListener.java:298) org.hibernate.event.def.DefaultFlushEventListener.onFlush(DefaultFlushEventListener.java:27) org.hibernate.impl.SessionImpl.flush(SessionImpl.java:1000) org.hibernate.impl.SessionImpl.managedFlush(SessionImpl.java:338) org.hibernate.transaction.JDBCTransaction.commit(JDBCTransaction.java:106) v.esoft.dao.SubjectdetailsDAO.SubjectdetailsDAO.addZoneToDb(SubjectdetailsDAO.java:185) v.esoft.actions.LoginAction.datatobeinsert(LoginAction.java:53) sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) java.lang.reflect.Method.invoke(Method.java:601) com.opensymphony.xwork2.DefaultActionInvocation.invokeAction(DefaultActionInvocation.java:441) com.opensymphony.xwork2.DefaultActionInvocation.invokeActionOnly(DefaultActionInvocation.java:280) com.opensymphony.xwork2.DefaultActionInvocation.invoke(DefaultActionInvocation.java:243) com.opensymphony.xwork2.interceptor.DefaultWorkflowInterceptor.doIntercept(DefaultWorkflowInterceptor.java:165) com.opensymphony.xwork2.interceptor.MethodFilterInterceptor.intercept(MethodFilterInterceptor.java:87) com.opensymphony.xwork2.DefaultActionInvocation.invoke(DefaultActionInvocation.java:237) com.opensymphony.xwork2.validator.ValidationInterceptor.doIntercept(ValidationInterceptor.java:252) org.apache.struts2.interceptor.validation.AnnotationValidationInterceptor.doIntercept(AnnotationValidationInterceptor.java:68) ............................... ............................... SubjectDetailsDao.java(I have problem in addZoneToDb) package v.esoft.dao.SubjectdetailsDAO; import java.text.SimpleDateFormat; import java.util.ArrayList; import java.util.Iterator; import java.util.List; import org.hibernate.HibernateException; import org.hibernate.Query; import org.hibernate.Session; import org.hibernate.SessionFactory; import org.hibernate.Transaction; import org.hibernate.criterion.Order; import com.opensymphony.xwork2.ActionSupport; import v.esoft.connection.HibernateUtil; import v.esoft.pojos.Subjectdetails; public class SubjectdetailsDAO extends ActionSupport { private static Session session = null; private static SessionFactory sessionFactory = null; static Transaction transaction = null; private String currentDate; SimpleDateFormat formatter1 = new SimpleDateFormat("yyyy-MM-dd"); private java.util.Date currentdate; public SubjectdetailsDAO() { sessionFactory = HibernateUtil.getSessionFactory(); SimpleDateFormat formatter = new SimpleDateFormat("yyyy-MM-dd"); currentdate = new java.util.Date(); currentDate = formatter.format(currentdate); } public List getAllCustomTempleteRoutinesForGrid() { List list = new ArrayList(); try { session = sessionFactory.openSession(); list = session.createCriteria(Subjectdetails.class).addOrder(Order.desc("subjectId")).list(); } catch (Exception e) { System.out.println("Exepetion in getAllCustomTempleteRoutines" + e); } finally { try { // HibernateUtil.shutdown(); } catch (Exception e) { System.out.println("Exception In getExerciseListByLoginId Resource closing :" + e); } } return list; } //**showing list on grid private static List<Subjectdetails> custLst=new ArrayList<Subjectdetails>(); static int total=50; static { SubjectdetailsDAO cts = new SubjectdetailsDAO(); Iterator iterator1 = cts.getAllCustomTempleteRoutinesForGrid().iterator(); while (iterator1.hasNext()) { Subjectdetails get = (Subjectdetails) iterator1.next(); custLst.add(get); } } /****************************************update Routines List by WorkId************************************/ public int updatesub(Subjectdetails s) { int updated = 0; try { session = sessionFactory.openSession(); transaction = session.beginTransaction(); Query query = session.createQuery("UPDATE Subjectdetails set subjectName = :routineName1 WHERE subjectId=:workoutId1"); query.setString("routineName1", s.getSubjectName()); query.setInteger("workoutId1", s.getSubjectId()); updated = query.executeUpdate(); if (updated != 0) { } transaction.commit(); } catch (Exception e) { if (transaction != null && transaction.isActive()) { try { transaction.rollback(); } catch (Exception e1) { System.out.println("Exception in addUser() Rollback :" + e1); } } } finally { try { session.flush(); session.close(); } catch (Exception e) { System.out.println("Exception In addUser Resource closing :" + e); } } return updated; } /****************************************update Routines List by WorkId************************************/ public int addSubjectt(Subjectdetails s) { int inserted = 0; Subjectdetails ss=new Subjectdetails(); try { session = sessionFactory.openSession(); transaction = session.beginTransaction(); ss. setSubjectName(s.getSubjectName()); session.save(ss); System.out.println("Successfully data insert in database"); inserted++; if (inserted != 0) { } transaction.commit(); } catch (Exception e) { if (transaction != null && transaction.isActive()) { try { transaction.rollback(); } catch (Exception e1) { System.out.println("Exception in addUser() Rollback :" + e1); } } } finally { try { session.flush(); session.close(); } catch (Exception e) { System.out.println("Exception In addUser Resource closing :" + e); } } return inserted; } /******************************************Get all Routines List by LoginID************************************/ public List getSubjects() { List list = null; try { session = sessionFactory.openSession(); list = session.createCriteria(Subjectdetails.class).list(); } catch (Exception e) { System.out.println("Exception in getRoutineList() :" + e); } finally { try { session.flush(); session.close(); } catch (Exception e) { System.out.println("Exception In getUserList Resource closing :" + e); } } return list; } //---\ public int addZoneToDb(String countryName, Integer loginId) { int inserted = 0; try { System.out.println("---------1--------"); Session session = HibernateUtil.getSessionFactory().openSession(); System.out.println("---------2------session--"+session); session.beginTransaction(); Subjectdetails country = new Subjectdetails(countryName, loginId, currentdate, loginId, currentdate); System.out.println("---------2------country--"+country); session.save(country); System.out.println("-------after save--"); inserted++; session.getTransaction().commit(); System.out.println("-------after commits--"); } catch (Exception e) { if (transaction != null && transaction.isActive()) { try { transaction.rollback(); } catch (Exception e1) { } } } finally { try { } catch (Exception e) { } } return inserted; } //-- public int nextId() { return total++; } public List<Subjectdetails> buildList() { return custLst; } public static int count() { return custLst.size(); } public static List<Subjectdetails> find(int o,int q) { return custLst.subList(o, q); } public void save(Subjectdetails c) { custLst.add(c); } public static Subjectdetails findById(Integer id) { try { for(Subjectdetails c:custLst) { if(c.getSubjectId()==id) { return c; } } } catch (Exception e) { // TODO Auto-generated catch block e.printStackTrace(); } return null; } public void update(Subjectdetails c) { for(Subjectdetails x:custLst) { if(x.getSubjectId()==c.getSubjectId()) { x.setSubjectName(c.getSubjectName()); } } } public void delete(Subjectdetails c) { custLst.remove(c); } public static List<Subjectdetails> findNotById(int id, int from,int to) { List<Subjectdetails> subLst=custLst.subList(from, to); List<Subjectdetails> temp=new ArrayList<Subjectdetails>(); for(Subjectdetails c:subLst) { if(c.getSubjectId()!=id) { temp.add(c); } } return temp; } public static List<Subjectdetails> findLesserAsId(int id, int from,int to) { List<Subjectdetails> subLst=custLst.subList(from, to); List<Subjectdetails> temp=new ArrayList<Subjectdetails>(); for(Subjectdetails c:subLst) { if(c.getSubjectId()<=id) { temp.add(c); } } return temp; } public static List<Subjectdetails> findGreaterAsId(int id, int from,int to) { List<Subjectdetails> subLst=custLst.subList(from, to); List<Subjectdetails> temp=new ArrayList<Subjectdetails>(); for(Subjectdetails c:subLst) { if(c.getSubjectId()>=id) { temp.add(c); } } return temp; } } Subjectdetails.hbm.xml <hibernate-mapping> <class name="vb.sofware.pojos.Subjectdetails" table="subjectdetails" catalog="vbsoftware"> <id name="subjectId" type="int"> <column name="subject_id" /> <generator class="increment"/> </id> <property name="subjectName" type="string"> <column name="subject_name" length="150" /> </property> <property name="createrId" type="java.lang.Integer"> <column name="creater_id" /> </property> <property name="createdDate" type="timestamp"> <column name="created_date" length="19" /> </property> <property name="updateId" type="java.lang.Integer"> <column name="update_id" /> </property> <property name="updatedDate" type="timestamp"> <column name="updated_date" length="19" /> </property> </class> </hibernate-mapping> My POJO - Subjectdetails.java package v.esoft.pojos; // Generated Oct 6, 2012 1:58:21 PM by Hibernate Tools 3.4.0.CR1 import java.util.Date; /** * Subjectdetails generated by hbm2java */ public class Subjectdetails implements java.io.Serializable { private int subjectId; private String subjectName; private Integer createrId; private Date createdDate; private Integer updateId; private Date updatedDate; public Subjectdetails( String subjectName) { //this.subjectId = subjectId; this.subjectName = subjectName; } public Subjectdetails() { } public Subjectdetails(int subjectId) { this.subjectId = subjectId; } public Subjectdetails(int subjectId, String subjectName, Integer createrId, Date createdDate, Integer updateId, Date updatedDate) { this.subjectId = subjectId; this.subjectName = subjectName; this.createrId = createrId; this.createdDate = createdDate; this.updateId = updateId; this.updatedDate = updatedDate; } public Subjectdetails( String subjectName, Integer createrId, Date createdDate, Integer updateId, Date updatedDate) { this.subjectName = subjectName; this.createrId = createrId; this.createdDate = createdDate; this.updateId = updateId; this.updatedDate = updatedDate; } public int getSubjectId() { return this.subjectId; } public void setSubjectId(int subjectId) { this.subjectId = subjectId; } public String getSubjectName() { return this.subjectName; } public void setSubjectName(String subjectName) { this.subjectName = subjectName; } public Integer getCreaterId() { return this.createrId; } public void setCreaterId(Integer createrId) { this.createrId = createrId; } public Date getCreatedDate() { return this.createdDate; } public void setCreatedDate(Date createdDate) { this.createdDate = createdDate; } public Integer getUpdateId() { return this.updateId; } public void setUpdateId(Integer updateId) { this.updateId = updateId; } public Date getUpdatedDate() { return this.updatedDate; } public void setUpdatedDate(Date updatedDate) { this.updatedDate = updatedDate; } } And my Sql query is CREATE TABLE IF NOT EXISTS `subjectdetails` ( `subject_id` int(3) NOT NULL, `subject_name` varchar(150) DEFAULT NULL, `creater_id` int(5) DEFAULT NULL, `created_date` datetime DEFAULT NULL, `update_id` int(5) DEFAULT NULL, `updated_date` datetime DEFAULT NULL, PRIMARY KEY (`subject_id`) ) ENGINE=InnoDB DEFAULT CHARSET=latin1;

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  • Getting Started with Chart control in ASP.Net 4.0

    - by sreejukg
    In this article I am going to demonstrate the Chart control available in ASP.Net 4 and Visual Studio 2010. Most of the web applications need to generate reports for business users. The business users are happy to view the results in a graphical format more that seeing it in numbers. For the purpose of this demonstration, I have created a sales table. I am going to create charts from this sale data. The sale table looks as follows I have created an ASP.Net web application project in Visual Studio 2010. I have a default.aspx page that I am going to use for the demonstration. First I am going to add a chart control to the page. Visual Studio 2010 has a chart control. The Chart Control comes under the Data Tab in the toolbox. Drag and drop the Chart control to the default.aspx page. Visual Studio adds the below markup to the page. <asp:Chart ID="Chart1" runat="server"></asp:Chart> In the designer view, the Chart controls gives the following output. As you can see this is exactly similar to other server controls in ASP.Net, and similar to other controls under the data tab, Chart control is also a data bound control. So I am going to bind this with my sales data. From the design view, right click the chart control and select “show smart tag” Here you need so choose the Data source property and the chart type. From the choose data source drop down, select new data source. In the data source configuration wizard, select the SQL data base and write the query to retrieve the data. At first I am going to show the chart for amount of sales done by each sales person. I am going to use the following query inside sqldatasource select command. “SELECT SUM(SaleAmount) AS Expr1, salesperson FROM SalesData GROUP BY SalesPerson” This query will give me the amount of sales achieved by each sales person. The mark up of SQLDataSource is as follows. <asp:SqlDataSource ID="SqlDataSource1" runat="server" ConnectionString="<%$ ConnectionStrings:SampleConnectionString %>" SelectCommand="SELECT SUM(SaleAmount) as amount, SalesPerson FROM SalesData GROUP BY SalesPerson"></asp:SqlDataSource> Once you selected the data source for the chart control, you need to select the X and Y values for the columns. I have entered salesperson in the X Value member and amount in the Y value member. After modifications, the Chart control looks as follows Click F5 to run the application. The output of the page is as follows. Using ASP.Net it is much easier to represent your data in graphical format. To show this chart, I didn’t even write any single line of code. The chart control is a great tool that helps the developer to show the business intelligence in their applications without using third party products. I will write another blog that explore further possibilities that shows more reports by using the same sales data. If you want to get the Project in zipped format, post your email below.

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  • From NaN to Infinity...and Beyond!

    - by Tony Davis
    It is hard to believe that it was once possible to corrupt a SQL Server Database by storing perfectly normal data values into a table; but it is true. In SQL Server 2000 and before, one could inadvertently load invalid data values into certain data types via RPC calls or bulk insert methods rather than DML. In the particular case of the FLOAT data type, this meant that common 'special values' for this type, namely NaN (not-a-number) and +/- infinity, could be quite happily plugged into the database from an application and stored as 'out-of-range' values. This was like a time-bomb. When one then tried to query this data; the values were unsupported and so data pages containing them were flagged as being corrupt. Any query that needed to read a column containing the special value could fail or return unpredictable results. Microsoft even had to issue a hotfix to deal with failures in the automatic recovery process, caused by the presence of these NaN values, which rendered the whole database inaccessible! This problem is history for those of us on more current versions of SQL Server, but its ghost still haunts us. Recently, for example, a developer on Red Gate’s SQL Response team reported a strange problem when attempting to load historical monitoring data into a SQL Server 2005 database via the C# ADO.NET provider. The ratios used in some of their reporting calculations occasionally threw out NaN or infinity values, and the subsequent attempts to load these values resulted in a nasty error. It turns out to be a different manifestation of the same problem. SQL Server 2005 still does not fully support the IEEE 754 standard for floating point numbers, in that the FLOAT data type still cannot handle NaN or infinity values. Instead, they just added validation checks that prevent the 'invalid' values from being loaded in the first place. For people migrating from SQL Server 2000 databases that contained out-of-range FLOAT (or DATETIME etc.) data, to SQL Server 2005, Microsoft have added to the latter's version of the DBCC CHECKDB (or CHECKTABLE) command a DATA_PURITY clause. When enabled, this will seek out the corrupt data, but won’t fix it. You have to do this yourself in what can often be a slow, painful manual process. Our development team, after a quizzical shrug of the shoulders, simply decided to represent NaN and infinity values as NULL, and move on, accepting the minor inconvenience of not being able to tell them apart. However, what of scientific, engineering and other applications that really would like the luxury of being able to both store and access these perfectly-reasonable floating point data values? The sticking point seems to be the stipulation in the IEEE 754 standard that, when NaN is compared to any other value including itself, the answer is "unequal" (i.e. FALSE). This is clearly different from normal number comparisons and has repercussions for such things as indexing operations. Even so, this hardly applies to infinity values, which are single definite values. In fact, there is some encouraging talk in the Connect note on this issue that they might be supported 'in the SQL Server 2008 timeframe'. If didn't happen; SQL 2008 doesn't support NaN or infinity values, though one could be forgiven for thinking otherwise, based on the MSDN documentation for the FLOAT type, which states that "The behavior of float and real follows the IEEE 754 specification on approximate numeric data types". However, the truth is revealed in the XPath documentation, which states that "…float (53) is not exactly IEEE 754. For example, neither NaN (Not-a-Number) nor infinity is used…". Is it really so hard to fix this problem the right way, and properly support in SQL Server the IEEE 754 standard for the floating point data type, NaNs, infinities and all? Oracle seems to have managed it quite nicely with its BINARY_FLOAT and BINARY_DOUBLE types, so it is technically possible. We have an enterprise-class database that is marketed as being part of an 'integrated' Windows platform. Absurdly, we have .NET and XPath libraries that fully support the standard for floating point numbers, and we can't even properly store these values, let alone query them, in the SQL Server database! Cheers, Tony.

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  • Archiving SQLHelp tweets

    - by jamiet
    #SQLHelp is a Twitter hashtag that can be used by any Twitter user to get help from the SQL Server community. I think its fair to say that in its first year of being it has proved to be a very useful resource however Kendra Little (@kendra_little) made a very salient point yesterday when she tweeted: Is there a way to search the archives of #sqlhelp Trying to remember answer to a question I know I saw a couple months ago http://twitter.com/#!/Kendra_Little/status/15538234184441856 This highlights an inherent problem with Twitter’s search capability – it simply does not reach far enough back in time. I have made steps to remedy that situation by putting into place two initiatives to archive Tweets that contain the #sqlhelp hashtag. The Archivist http://archivist.visitmix.com/ is a free service that, quite simply, archives a history of tweets that contain a given search term by periodically polling Twitter’s search service with that search term and subsequently displaying a dashboard providing an aggregate view of those tweets for things like tweet volume over time, top users and top words (Archivist FAQ). I have set up an archive on The Archivist for “sqlhelp” which you can view at http://archivist.visitmix.com/jamiet/7. Here is a screenshot of the SQLHelp dashboard 36 minutes after I set it up: There is lots of good information in there, including the fact that Jonathan Kehayias (@SQLSarg) is the most active SQLHelp tweeter (I suspect as an answerer rather than a questioner ) and that SSIS has proven to be a rather (ahem) popular subject!! Datasift The Archivist has its uses though for our purposes it has a couple of downsides. For starters you cannot search through an archive (which is what Kendra was after) and nor can you export the contents of the archive for offline analysis. For those functions we need something a bit more heavyweight and for that I present to you Datasift. Datasift is a tool (currently an alpha release) that allows you to search for tweets and provide them through an object called a Datasift stream. That sounds very similar to normal Twitter search though it has one distinct advantage that other Twitter search tools do not – Datasift has access to Twitter’s Streaming API (aka the Twitter Firehose). In addition it has access to a lot of other rather nice features: It provides the Datasift API that allows you to consume the output of a Datasift stream in your tool of choice (bring on my favourite ultimate mashup tool J ) It has a query language (called Filtered Stream Definition Language – FSDL for short) A Datasift stream can consume (and filter) other Datasift streams Datasift can (and does) consume services other than Twitter If I refer to Datasift as “ETL for tweets” then you may get some sort of idea what it is all about. Just as I did with The Archivist I have set up a publicly available Datasift stream for “sqlhelp” at http://datasift.net/stream/1581/sqlhelp. Here is the FSDL query that provides the data: twitter.text contains "sqlhelp" Pretty simple eh? At the current time it provides little more than a rudimentary dashboard but as Datasift is currently an alpha release I think this may be worth keeping an eye on. The real value though is the ability to consume the output of a stream via Datasift’s RESTful API, observe: http://api.datasift.net/stream.xml?stream_identifier=c7015255f07e982afdeebdf1ae6e3c0d&username=jamiet&api_key=XXXXXXX (Note that an api_key is required during the alpha period so, given that I’m not supplying my api_key, this URI will not work for you) Just to prove that a Datasift stream can indeed consume data from another stream I have set up a second stream that further filters the first one for tweets containing “SSIS”. That one is at http://datasift.net/stream/1586/ssis-sqlhelp and here is the FSDL query: rule "414c9845685ff8d2548999cf3162e897" and (interaction.content contains "ssis") When Datasift moves beyond alpha I’ll re-assess how useful this is going to be and post a follow-up blog. @Jamiet

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  • Floating Panels and Describe Windows in Oracle SQL Developer

    - by thatjeffsmith
    One of the challenges I face as I try to share tips about our software is that I tend to assume there are features that you just ‘know about.’ Either they’re so intuitive that you MUST know about them, or it’s a feature that I’ve been using for so long I forget that others may have never even seen it before. I want to cover two of those today - Describe (DESC) – SHIFT+F4 Floating Panels My super-exciting desktop SQL Developer and Describe DESC or Describe is an Oracle SQL*Plus command. It shows what a table or view is composed of in terms of it’s column definition. Here’s an example: SQL*Plus: Release 11.2.0.3.0 Production on Fri Sep 21 14:25:37 2012 Copyright (c) 1982, 2011, Oracle. All rights reserved. Connected to: Oracle Database 11g Enterprise Edition Release 11.2.0.3.0 - Production With the Partitioning, OLAP, Data Mining and Real Application Testing options SQL> desc beer; Name Null? Type ----------------------------------------- -------- ---------------------------- BREWERY NOT NULL VARCHAR2(100) CITY VARCHAR2(100) STATE VARCHAR2(100) COUNTRY VARCHAR2(100) ID NUMBER SQL> You can get the same information – and a good bit more – in SQL Developer using the SQL Developer DESC command. You invoke it with SHIFT+F4. It will open a floating (non-modal!) window with the information you want. Here’s an example: I can see my column definitions, constratins, stats, privs, etc A few ‘cool’ things you should be aware of: I can open as many as I want, and still work in my worksheet, browser, etc. I can also DESC an index, user, or most any other database object I can of course move them off my primary desktop display The DESC panel’s are read-only. I can’t drop a constraint from within the DESC window of a given table. But for dragging columns into my worksheet, and checking out the stats for my objects as I query them – it’s very, very handy. Try This Right Now Type ‘scott.emp’ (or some other table you have), place your cursor on the text, and hit SHIFT+F4. You’ll see the EMP object open. Now click into a column name in the columns page. Drag it into your worksheet. It will paste that column name into your query. This is an alternative for those that don’t like our code insight feature or dragging columns off the connection tree (new for v3.2!) Got it? SQL Developer’s Floating Panels Ok, let’s talk about a similar feature. Did you know that any dockable panel from the View menu can also be ‘floated?’ One of my favorite features is the SQL History. Every query I run is recorded, and I can recall them later without having to remember what I ran and when. And I USUALLY use the keyboard shortcuts for this. Let your trouble float away…if only it were so easy as a right-click in the real world. But sometimes I still want to see my recall list without having to give up my screen real estate. So I just mouse-right click on the panel tab and select ‘Float.’ Then I move it over to my secondary display – see the poorly lit picture in the beginning of this post. And that’s it. Simple, I know. But I thought you should know about these two things!

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  • Bind a Wijmo Grid to Salesforce.com Through the Salesforce OData Connector

    - by dataintegration
    This article will explain how to connect to any RSSBus OData Connector with Wijmo's data grid using JSONP. While the example will use the Salesforce Connector, the same process can be followed for any of the RSSBus OData Connectors. Step 1: Download and install both the Salesforce Connector from RSSBus and the Wijmo javascript library. Step 2: Next you will want to configure the Salesforce Connector to connect with your Salesforce account. If you browse to the Help tab in the Salesforce Connector application, there is a link to the Getting Started Guide which will walk you through setting up the Salesforce Connector. Step 3: Once you have successfully configured the Salesforce Connector application, you will want to open a Wijmo sample grid file to edit. This example will use the overview.html grid found in the Samples folder. Step 4: First, we will wrap the jQuery document ready function in a callback function for the JSONP service. In this example, we will wrap this in function called fnCallback which will take a single object args. <script id="scriptInit" type="text/javascript"> function fnCallback(args) { $(document).ready(function () { $("#demo").wijgrid({ ... }); }); }; </script> Step 5: Next, we need to format the columns object in a format that Wijmo's data grid expects. This is done by adding the headerText: element for each column. <script id="scriptInit" type="text/javascript"> function fnCallback(args) { var columns = []; for (var i = 0; i < args.columnnames.length; i++){ var col = { headerText: args.columnnames[i]}; columns.push(col); } $(document).ready(function () { $("#demo").wijgrid({ ... }); }); }; </script> Step 6: Now the wijgrid parameters are ready to be set. In this example, we will set the data input parameter to the args.data object and the columns input parameter to our newly created columns object. The resulting javascript function should look like this: <script id="scriptInit" type="text/javascript"> function fnCallback(args) { var columns = []; for (var i = 0; i < args.columnnames.length; i++){ var col = { headerText: args.columnnames[i]}; columns.push(col); } $(document).ready(function () { $("#demo").wijgrid({ allowSorting: true, allowPaging: true, pageSize: 10, data: args.data, columns: columns }); }); }; </script> Step 7: Finally, we need to add the JSONP reference to our Salesforce Connector's data table. You can find this by clicking on the Settings tab of the Salesforce Connector. Once you have found the JSONP URL, you will need to supply a valid table name that you want to connect with Wijmo. In this example, we will connect to the Lead table. You will also need to add authentication options in this step. In the example we will append the authtoken of the user who has access to the Salesforce Connector using the @authtoken query string parameter. IMPORTANT: This is not secure and will expose the authtoken of the user whose authtoken you supply in this step. There are other ways to secure the user's authtoken, but this example uses a query string parameter for simplicity. <script src="http://localhost:8181/sfconnector/data/conn/Lead.rsd?@jsonp=fnCallback&sql:query=SELECT%20*%20FROM%20Lead&@authtoken=<myAuthToken>" type="text/javascript"></script> Step 8: Now, we are done. If you point your browser to the URL of the sample, you should see your Salesforce.com leads in a Wijmo data grid.

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  • SSRS Parameters and MDX Data Sets

    - by blakmk
    Having spent the past few weeks creating reports and dashboards in SSRS and SSAS 2008, I was frustrated by how difficult it is to use custom datasets to generate parameter drill downs. It also seems Reporting Services can be quite unforgiving when it comes to renaming things like datasets, so I want to share a couple of techniques that I found useful. One of the things I regularly do is to add parameters to the querys. However doing this causes Reporting Services to generate a hidden dataset and parameter name for you. One of the things I like to do is tweak these hidden datasets removing the ‘ALL’ level which is a tip I picked up from Devin Knight in his blog: There are some rules i’ve developed for myself since working with SSRS and MDX, they may not be the best or only way but they work for me. Rule 1 – Never trust the automatically generated hidden datasets Or even ANY, automatically generated MDX queries for that matter.... I’ve previously blogged about this here.   If you examine the MDX generated in the hidden dataset you will see that it generates the MDX in the context of the originiating query by building a subcube, this mean it may NOT be appropriate to use this in a subsequent query which has a different context. Make sure you always understand what is going on. Often when i’m developing a dashboard or a report there are several parameter oriented datasets that I like to manually create. It can be that I have different datasets using the same dimension but in a different context. One example of this, is that I often use a dataset for last month and a dataset for the last 6 months. Both use the same date hierarchy. However Reporting Services seems not to be too smart when it comes to generating unique datasets when working with and renaming parameters and datasets. Very often I have come across this error when it comes to refactoring parameter names and default datasets. "an item with the same key has already been added" The only way I’ve found to reliably avoid this is to obey to rule 2. Rule 2 – Follow this sequence when it comes to working with Parameters and DataSets: 1.    Create Lookup and Default Datasets in advance 2.    Create parameters (set the datasets for available and default values) 3.    Go into query and tick parameter check box 4.    On dataset properties screen, select the parameter defined earlier from the parameter value defined earlier. Rule 3 – Dont tear your hair out when you have just renamed objects and your report doesn’t build Just use XML notepad on the original report file. I found I gained a good understanding of the structure of the underlying XML document just by using XML notepad. From this you can do a search and find references of the missing object. You can also just do a wholesale search and replace (after taking a backup copy of course ;-) So I hope the above help to save the sanity of anyone who regularly works with SSRS and MDX.

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  • MySql Connector/NET 6.7.4 GA has been released

    - by fernando
    MySQL Connector/Net 6.7.4, a new version of the all-managed .NET driver for MySQL has been released.  This is the GA, is feature complete. It is recommended for production environments.  It is appropriate for use with MySQL server versions 5.0-5.7.  It is now available in source and binary form from http://dev.mysql.com/downloads/connector/net/#downloads and mirror sites (note that not all mirror sites may be up to date at this point-if you can't find this version on some mirror, please try again later or choose another download site.) The 6.7 version of MySQL Connector/Net brings the following new features: -  WinRT Connector. -  Load Balancing support. -  Entity Framework 5.0 support. -  Memcached support for Innodb Memcached plugin. -  This version also splits the product in two: from now on, starting version 6.7, Connector/NET will include only the former Connector/NET ADO.NET driver, Entity Framework and ASP.NET providers (Core libraries of MySql.Data, MySql.Data.Entity & MySql.Web). While all the former product Visual Studio integration (Design support, Intellisense, Debugger) are available as part of MySql Windows Installer under the name "MySql for Visual Studio".  WinRT Connector  ------------------------------------------- Now you can write MySql data access apps in Windows Runtime (aka Store Apps) using the familiar API of Connector/NET for .NET.  Load Balancing Support  -------------------------------------------  Now you can setup a Replication or Cluster configuration in the backend, and Connector/NET will balance the load of queries among all servers making up the backend topology.  Entity Framework 5.0  -------------------------------------------  Connector/NET is now compatible with EF 5, including special features of EF 5 like spatial types.  Memcached  -------------------------------------------  Just setup Innodb memcached plugin and use Connector/NET new APIs to establish a client to MySql 5.6 server's memcached daemon.  Bug fixes included in this release: - Fix for Entity Framework when inserts data having Identity columns (Oracle bug #16494585). - Fix for Connector/NET cannot read data from a MySql table using UTF-16/UTF-32 (MySql bug #69169, Oracle bug #16776818). - Fix for Malformed query in Entity Framework when eager loading due to multiple projections (MySql bug #67183, Oracle bug #16872852). - Fix for database objects with 'dbo' prefix when using automatic migrations in Entity Framework 5.0 (Oracle bug #16909439). - Fix for bug IIS application pool reset worker process causes website to crash (Oracle bug #16909237, Mysql Bug #67665). - Fix for bug Error in LINQ to Entities query when using Distinct().Count() (MySql Bug #68513, Oracle bug #16950146). - Fix for occasionally return no data when socket connection is slow, interrupted or delayed (MySql bug #69039, Oracle bug #16950212). - Fix for ConstraintException when filling a datatable (MySql bug #65065, Oracle bug #16952323). - Fix for Data Provider is not found after uninstalling Mysql for visual studio (Oracle bug #16973456). - Fix for nested sql generated for LINQ to Entities query with Take and Order by (MySql bug #65723, Oracle bug #16973939). The documentation is available at http://dev.mysql.com/doc/refman/5.7/en/connector-net.html  Enjoy and thanks for the support!  --  Fernando Gonzalez Sanchez | Software Engineer |  Oracle MySQL Windows Experience Team, Connector/NET  Guadalajara | Jalisco | Mexico 

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  • Pull Request Changes, Multi-Selection in Advanced View, and Advertisement Changes

    [Do you tweet? Follow us on Twitter @matthawley and @adacole_msft] We deployed a new version of the CodePlex website today. Pull Request Changes In this release, we have begun to re-focus on Pull Requests to ensure a productive experience between the project users and developers. We feel we made significant progress in this area for this release and look forward to using your feedback to drive future iterations. One of the biggest hurdles people have indicated is the inability to see what a pull request includes without pulling the source down from a Mercurial client. With today’s changes, any user has the ability to view a pull request, the changesets / changes included, and perform an inline diff of the file. When a pull request is made, the CodePlex website will query for all outgoing changes from the fork to the main repository for a point-in-time comparison. Because of this point-in-time comparison… All existing pull requests created prior to this release will not have changesets associated with them. If new commits are pushed to the fork while a pull request is active, they will not appear associated with the pull request. The pull request will need to be re-submitted for them to appear. Once a pull request is created, you can “View the Pull Request” which takes you to a page that looks like As you may notice, we now display a lot more detailed information regarding that pull request including who it was requested by and when, the associated changesets, the description, who it’s assigned to (we’ll come back to this) and the listing of summarized file changes. What you’ll also notice, is that each modified file has the ability to view a diff of all changes made. When you click “(view diff)” for a file, an inline diff experience appears. This new experience allows you to quickly navigate through all of the modified files as well as viewing the various change blocks for each file. You’ll also notice as you browse through each file’s changes, we update the URL to include the file path so you can quickly send a direct link to a pull request’s file. Clicking “(close diff)” will bring you back to the original pull request view. View this pull request live on WikiPlex. Pull Request Review Assignment Another new feature we added for pull requests is the ability for project members to assign pull requests for review. Any project member has the ability to assign (and re-assign if needed) a pull request to a project member. Once the assignment has been made, that project member will be notified via email of the assignment. Once they complete the review of the pull request, they can either accept or deny it similarly to the previous process. Multi-Selection in Advanced View Filters One of the more recent requests we have heard from users is the ability multi-select advanced view filters for work items. We are happy to announce this is now possible. Simply control-click the multiple options for each filter item and your work item query will be refined as such. Should you happen to unselect all options for a given filter, it will automatically reset to the default option for that filter. Furthermore, the “Direct Link” URL will be updated to include the multi-selected options for each filter. Note: The “Direct Link” feature was released in our previous deployment, just never written about. It allows you to capture the current state of your query and send it to other individuals. Advertisement Changes Very recently, the advertiser (The Lounge) we partnered to provide advertising revenue for projects, or donated to charity, was acquired by Lake Quincy Media. There has been no change in the advertising platform offering, and all projects have been converted over to using the new infrastructure. Project owners should note the new contact information for getting paid. The CodePlex team values your feedback, and is frequently monitoring Twitter, our Discussions and Issue Tracker for new features or problems. If you’ve not visited the Issue Tracker recently, please take a few moments to log an idea or vote for the features you would most like to see implemented on CodePlex.

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  • NHibernate 3.0 and FluentNHibernate, how to get up and running&hellip;.

    - by DesigningCode
    First up. Its actually really easy. I’m not very religious about my DB tech, I don’t really care, I just want something that works.  So I’m happy to consider all options if they provide an advantage, and recently I was considering jumping from NHibernate to EF 4.0.  However before ditching NHibernate and jumping to EF 4.0 I thought I should try the head version of NHibernates trunk and the Head version of FluentNHibernate. I currently have a “Repository / Unit of Work” Framework built up around these two techs.  All up it makes my life pretty simple for dealing with databases.   The problem is the current release of NHibernate + the Linq provider wasn’t too hot for our purposes.  Especially trying to plug it into older VB.NET code.   The Linq provider spat the dummy with VB.NET lambdas.  Mainly because in C# Query().Where(l => l.Name.Contains("x") || l.Name.Contains("y")).ToList(); is not the same as the VB.NET Query().Where(Function(l) l.Name.Contains("x") Or l.Name.Contains("y")).ToList VB.NET seems to spit out … well…. something different :-) so anyways… Compiling your own version of NHibernate and FluentNHibernate.  It’s actually pretty easy! First you’ll need to install tortisesvn NAnt and Git if you don’t already have them.  NHibernate first step, get the subversion trunk https://nhibernate.svn.sourceforge.net/svnroot/nhibernate/trunk/ into a directory somewhere.  eg \thirdparty\nhibernate Then use NAnt to build it.   (if you open the .sln it will show errors in that  AssemblyInfo.cs doesn’t exist ) to build it, there is a .txt document with sample command line build instructions,  I simply used :- NAnt -D:project.config=release clean build >output-release-build.log *wait* *wait* *wait* and ta da, you will have a bin directory with all the release dlls. FluentNHibernate This was pretty simple. there’s instructions here :- http://wiki.fluentnhibernate.org/Getting_started#Installation basically, with git, create a directory, and you issue the command git clone git://github.com/jagregory/fluent-nhibernate.git and wait, and soon enough you have the source. Now, from the bin directory that NHibernate spit out, take everything and dump it into the subdirectory “fluent-nhibernate\tools\NHibernate” Now, to build, you can use rake….which a ruby build system, however you can also just open the solution and build.   Which is what I did.  I had a few problems with the references which I simply re-added using the new ones.  Once built, I just took all the NHibnerate dlls, and the fluent ones and replaced my existing NHibernate / Fluent and killed off the old linq project. All I had to change is the places that used  .Linq<T>  and replace them with .Query<T>  (which was easy as I had wrapped it already to isolate my code from such changes) and hey presto, everything worked.  Even the VB.NET linq calls. I need to do some more testing as I’ve only done basic smoke tests, but its all looking pretty good, so for now, I will stick to NHibernate!

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  • 10 Steps to access Oracle stored procedures from Crystal Reports

    Requirements to access Oracle stored procedures from CR The following requirements must be met in order for CR to access an Oracle stored procedure: 1. You must create a package that defines the REF CURSOR. This REF CURSOR must be strongly bound to a static pre-defined structure (see Strongly Bound REF CURSORs vs Weakly Bound REF CURSORs). This package must be created separately and before the creation of the stored procedure. NOTE Crystal Reports 9 native connections will support Oracle stored procedures created within packages as well as Oracle stored procedures referencing weakly bound REF CURSORs. Crystal Reports 8.5 native connections will support Oracle stored procedures referencing weakly bound REF CURSORs. 2. The procedure must have a parameter that is a REF CURSOR type. This is because CR uses this parameter to access and define the result set that the stored procedure returns. 3. The REF CURSOR parameter must be defined as IN OUT (read/write mode). After the procedure has opened and assigned a query to the REF CURSOR, CR will perform a FETCH call for every row from the query's result. This is why the parameter must be defined as IN OUT. 4. Parameters can only be input (IN) parameters. CR is not designed to work with OUT parameters. 5. The REF CURSOR variable must be opened and assigned its query within the procedure. 6. The stored procedure can only return one record set. The structure of this record set must not change, based on parameters. 7. The stored procedure cannot call another stored procedure. 8. If using an ODBC driver, it must be the CR Oracle ODBC driver (installed by CR). Other Oracle ODBC drivers (installed by Microsoft or Oracle) may not function correctly. 9. If you are using the CR ODBC driver, you must ensure that in the ODBC Driver Configuration setup, under the Advanced Tab, the option 'Procedure Return Results' is checked ON. 10. If you are using the native Oracle driver and using hard-coded date selection within the procedure, the date selection must use either a string representation format of 'YYYY-DD-MM' (i.e. WHERE DATEFIELD = '1999-01-01') or the TO_DATE function with the same format specified (i.e. WHERE DATEFIELD = TO_DATE ('1999-01-01','YYYY-MM-DD'). For more information, refer to kbase article C2008023. 11. Most importantly, this stored procedure must execute successfully in Oracle's SQL*Plus utility. If all of these conditions are met, you must next ensure you are using the appropriate database driver. Please refer to the sections in this white paper for a list of acceptable database drivers. span.fullpost {display:none;}

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  • Math with Timestamp

    - by Knut Vatsendvik
    table.sql { border-width: 1px; border-spacing: 2px; border-style: dashed; border-color: #0023ff; border-collapse: separate; background-color: white; } table.sql th { border-width: 1px; padding: 1px; border-style: none; border-color: gray; background-color: white; -moz-border-radius: 0px 0px 0px 0px; } table.sql td { border-width: 1px; padding: 3px; border-style: none; border-color: gray; background-color: white; -moz-border-radius: 0px 0px 0px 0px; } .sql-keyword { color: #0000cd; background-color: inherit; } .sql-result { color: #458b74; background-color: inherit; } Got this little SQL quiz from a colleague.  How to add or subtract exactly 1 second from a Timestamp?  Sounded simple enough at first blink, but was a bit trickier than expected. If the data type had been a Date, we knew that we could add or subtract days, minutes or seconds using + or – sysdate + 1 to add one day sysdate - (1 / 24) to subtract one hour sysdate + (1 / 86400) to add one second Would the same arithmetic work with Timestamp as with Date? Let’s test it out with the following query SELECT   systimestamp , systimestamp + (1 / 86400) FROM dual; ---------- 03.05.2010 22.11.50,240887 +02:00 03.05.2010 The first result line shows us the system time down to fractions of seconds. The second result line shows the result as Date (as used for date calculation) meaning now that the granularity is reduced down to a second.   By using the PL/SQL dump() function, we can confirm this with the following query SELECT   dump(systimestamp) , dump(systimestamp + (1 / 86400)) FROM dual; ---------- Typ=188 Len=20: 218,7,5,4,8,53,9,0,200,46,89,20,2,0,5,0,0,0,0,0 Typ=13 Len=8: 218,7,5,4,10,53,10,0 Where typ=13 is a runtime representation for Date. So how can we increase the precision to include fractions of second? After investigating it a bit, we found out that the interval data type INTERVAL DAY TO SECOND could be used with the result of addition or subtraction being a Timestamp. Let’s try again our first query again, now using the interval data type. SELECT systimestamp,    systimestamp + INTERVAL '0 00:00:01.0' DAY TO SECOND(1) FROM dual; ---------- 03.05.2010 22.58.32,723659000 +02:00 03.05.2010 22.58.33,723659000 +02:00 Yes, it worked! To finish the story, here is one example showing how to specify an interval of 2 days, 6 hours, 30 minutes, 4 seconds and 111 thousands of a second. INTERVAL ‘2 6:30:4.111’ DAY TO SECOND(3)

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  • 10 Steps to access Oracle stored procedures from Crystal Reports

    Requirements to access Oracle stored procedures from CR The following requirements must be met in order for CR to access an Oracle stored procedure: 1. You must create a package that defines the REF CURSOR. This REF CURSOR must be strongly bound to a static pre-defined structure (see Strongly Bound REF CURSORs vs Weakly Bound REF CURSORs). This package must be created separately and before the creation of the stored procedure. NOTE Crystal Reports 9 native connections will support Oracle stored procedures created within packages as well as Oracle stored procedures referencing weakly bound REF CURSORs. Crystal Reports 8.5 native connections will support Oracle stored procedures referencing weakly bound REF CURSORs. 2. The procedure must have a parameter that is a REF CURSOR type. This is because CR uses this parameter to access and define the result set that the stored procedure returns. 3. The REF CURSOR parameter must be defined as IN OUT (read/write mode). After the procedure has opened and assigned a query to the REF CURSOR, CR will perform a FETCH call for every row from the query's result. This is why the parameter must be defined as IN OUT. 4. Parameters can only be input (IN) parameters. CR is not designed to work with OUT parameters. 5. The REF CURSOR variable must be opened and assigned its query within the procedure. 6. The stored procedure can only return one record set. The structure of this record set must not change, based on parameters. 7. The stored procedure cannot call another stored procedure. 8. If using an ODBC driver, it must be the CR Oracle ODBC driver (installed by CR). Other Oracle ODBC drivers (installed by Microsoft or Oracle) may not function correctly. 9. If you are using the CR ODBC driver, you must ensure that in the ODBC Driver Configuration setup, under the Advanced Tab, the option 'Procedure Return Results' is checked ON. 10. If you are using the native Oracle driver and using hard-coded date selection within the procedure, the date selection must use either a string representation format of 'YYYY-DD-MM' (i.e. WHERE DATEFIELD = '1999-01-01') or the TO_DATE function with the same format specified (i.e. WHERE DATEFIELD = TO_DATE ('1999-01-01','YYYY-MM-DD'). For more information, refer to kbase article C2008023. 11. Most importantly, this stored procedure must execute successfully in Oracle's SQL*Plus utility. If all of these conditions are met, you must next ensure you are using the appropriate database driver. Please refer to the sections in this white paper for a list of acceptable database drivers. span.fullpost {display:none;}

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  • Crime Scene Investigation: SQL Server

    - by Rodney Landrum
    “The packages are running slower in Prod than they are in Dev” My week began with this simple declaration from one of our lead BI developers, quickly followed by an emailed spreadsheet demonstrating that, over 5 executions, an extensive ETL process was running average 630 seconds faster on Dev than on Prod. The situation needed some scientific investigation to determine why the same code, the same data, the same schema would yield consistently slower results on a more powerful server. Prod had yet to be officially christened with a “Go Live” date so I had the time, and having recently been binge watching CSI: New York, I also had the inclination. An inspection of the two systems, Prod and Dev, revealed the first surprise: although Prod was indeed a “bigger” system, with double the amount of RAM of Dev, the latter actually had twice as many processor cores. On neither system did I see much sign of resources being heavily taxed, while the ETL process was running. Without any real supporting evidence, I jumped to a conclusion that my years of performance tuning should have helped me avoid, and that was that the hardware differences explained the better performance on Dev. We spent time setting up a Test system, similarly scoped to Prod except with 4 times the cores, and ported everything across. The results of our careful benchmarks left us truly bemused; the ETL process on the new server was slower than on both other systems. We burned more time tweaking server configurations, monitoring IO and network latency, several times believing we’d uncovered the smoking gun, until the results of subsequent test runs pitched us back into confusion. Finally, I decided, enough was enough. Hadn’t I learned very early in my DBA career that almost all bottlenecks were caused by code and database design, not hardware? It was time to get back to basics. With over 100 SSIS packages and hundreds of queries, each handling specific tasks such as file loads, bulk inserts, transforms, logging, and so on, the task seemed formidable. And yet, after barely an hour spent with Profiler, Extended Events, and wait statistics DMVs, I had a lead in the shape of a query that joined three tables, containing millions of rows, returned 3279 results, but performed 239K logical reads. As soon as I looked at the execution plans for the query in Dev and Test I saw the culprit, an implicit conversion warning on a join predicate field that was numeric in one table and a varchar(50) in another! I turned this information over to the BI developers who quickly resolved the data type mismatches and found and fixed “several” others as well. After the schema changes the same query with the same databases ran in under 1 second on all systems and reduced the logical reads down to fewer than 300. The analysis also revealed that on Dev, the ETL task was pulling data across a LAN, whereas Prod and Test were connected across slower WAN, in large part explaining why the same process ran slower on the latter two systems. Loading the data locally on Prod delivered a further 20% gain in performance. As we progress through our DBA careers we learn valuable lessons. Sometimes, with a project deadline looming and pressure mounting, we choose to forget them. I was close to giving into the temptation to throw more hardware at the problem. I’m pleased at least that I resisted, though I still kick myself for not looking at the code on day one. It can seem a daunting prospect to return to the fundamentals of the code so close to roll out, but with the right tools, and surprisingly little time, you can collect the evidence that reveals the true problem. It is a lesson I trust I will remember for my next 20 years as a DBA, if I’m ever again tempted to bypass the evidence.

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  • Fetching Partition Information

    - by Mike Femenella
    For a recent SSIS package at work I needed to determine the distinct values in a partition, the number of rows in each partition and the file group name on which each partition resided in order to come up with a grouping mechanism. Of course sys.partitions comes to mind for some of that but there are a few other tables you need to link to in order to grab the information required. The table I’m working on contains 8.8 billion rows. Finding the distinct partition keys from this table was not a fast operation. My original solution was to create  a temporary table, grab the distinct values for the partitioned column, then update via sys.partitions for the rows and the $partition function for the partitionid and finally look back to the sys.filegroups table for the filegroup names. It wasn’t pretty, it could take up to 15 minutes to return the results. The primary issue is pulling distinct values from the table. Queries for distinct against 8.8 billion rows don’t go quickly. A few beers into a conversation with a friend and we ended up talking about work which led to a conversation about the task described above. The solution was already built in SQL Server, just needed to pull it together. The first table I needed was sys.partition_range_values. This contains one row for each range boundary value for a partition function. In my case I have a partition function which uses dayid values. For example July 4th would be represented as an int, 20130704. This table lists out all of the dayid values which were defined in the function. This eliminated the need to query my source table for distinct dayid values, everything I needed was already built in here for me. The only caveat was that in my SSIS package I needed to create a bucket for any dayid values that were out of bounds for my function. For example if my function handled 20130501 through 20130704 and I had day values of 20130401 or 20130705 in my table, these would not be listed in sys.partition_range_values. I just created an “everything else” bucket in my ssis package just in case I had any dayid values unaccounted for. To get the number of rows for a partition is very easy. The sys.partitions table contains values for each partition. Easy enough to achieve by querying for the object_id and index value of 1 (the clustered index) The final piece of information was the filegroup name. There are 2 options available to get the filegroup name, sys.data_spaces or sys.filegroups. For my query I chose sys.filegroups but really it’s a matter of preference and data needs. In order to bridge between sys.partitions table and either sys.data_spaces or sys.filegroups you need to get the container_id. This can be done by joining sys.allocation_units.container_id to the sys.partitions.hobt_id. sys.allocation_units contains the field data_space_id which then lets you join in either sys.data_spaces or sys.file_groups. The end result is the query below, which typically executes for me in under 1 second. I’ve included the join to sys.filegroups and to sys.dataspaces, and I’ve  just commented out the join sys.filegroups. As I mentioned above, this shaves a good 10-15 minutes off of my original ssis package and is a really easy tweak to get a boost in my ETL time. Enjoy.

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  • Designing An ACL Based Permission System

    - by ryanzec
    I am trying to create a permissions system where everything is going to be stored in MySQL (or some database) and pulled using PHP for a project management system I am building.  I am right now trying to do it is an ACL kind of way.  There are a number key features I want to be able to support: 1.  Being able to assign permissions without being tied to a specific object. The reason for this is that I want to be able to selectively show/hide elements of the UI based on permissions at a point where I am not directly looking at a domain object instance.  For instance, a button to create a new project should only should only be shown to users that have the pm.project.create permission but obviously you can assign a create permission to an domain object instance (as it is already created). 2.  Not have to assign permissions for every single object. Obviously creating permissions entries for every single object (projects, tickets, comments, etc…) would become a nightmare to maintain so I want to have some level of permission inheritance. *3.  Be able to filter queries based on permissions. This would be a really nice to have but I am not sure if it is possible.  What I mean by this is say I have a page that list all projects.  I want the query that pulls all projects to incorporate the ACL so that it would not show projects that the current user does not have pm.project.read access to.  This would have to be incorporated into the main query as if it is a process that is done after that main query (which I know I could do) certain features like pagination become much more difficult. Right now this is my basic design for the tables: AclEntities id - the primary key key - the unique identifier for the domain object (usually the primary key of that object) parentId - the parent of the domain object (like the project object if this was a ticket object) aclDomainObjectId - metadata about the domain object AclDomainObjects id - primary key title - simple string to unique identify the domain object(ie. project, ticket, comment, etc…) fullyQualifiedClassName - the fully qualified class name for use in code (I am using namespaces) There would also be tables mapping AclEntities to Users and UserGroups. I also have this interface that all acl entity based object have to implement: IAclEntity getAclKey() - to the the unique key for this specific instance of the acl domain object (generally return the primary key or a concatenated string of a composite primary key) getAclTitle() - to get the unique title for the domain object (generally just returning a static string) getAclDisplayString() - get the string that represents this entity (generally one or more field on the object) getAclParentEntity() - get the parent acl entity object (or null if no parent) getAclEntity() - get the acl enitty object for this instance of the domain object (or null if one has not been created yet) hasPermission($permissionString, $user = null) - whether or not the user has the permission for this instance of the domain object static getFromAclEntityId($aclEntityId) - get a specific instance of the domain object from an acl entity id. Do any of these features I am looking for seems hard to support or are just way off base? Am I missing or not taking in account anything in my implementation? Is performance something I should keep in mind?

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  • Investigating on xVelocity (VertiPaq) column size

    - by Marco Russo (SQLBI)
      In January I published an article about how to optimize high cardinality columns in VertiPaq. In the meantime, VertiPaq has been rebranded to xVelocity: the official name is now “xVelocity in-memory analytics engine (VertiPaq)” but using xVelocity and VertiPaq when we talk about Analysis Services has the same meaning. In this post I’ll show how to investigate on columns size of an existing Tabular database so that you can find the most important columns to be optimized. A first approach can be looking in the DataDir of Analysis Services and look for the folder containing the database. Then, look for the biggest files in all subfolders and you will find the name of a file that contains the name of the most expensive column. However, this heuristic process is not very optimized. A better approach is using a DMV that provides the exact information. For example, by using the following query (open SSMS, open an MDX query on the database you are interested to and execute it) you will see all database objects sorted by used size in a descending way. SELECT * FROM $SYSTEM.DISCOVER_STORAGE_TABLE_COLUMN_SEGMENTS ORDER BY used_size DESC You can look at the first rows in order to understand what are the most expensive columns in your tabular model. The interesting data provided are: TABLE_ID: it is the name of the object – it can be also a dictionary or an index COLUMN_ID: it is the column name the object belongs to – you can also see ID_TO_POS and POS_TO_ID in case they refer to internal indexes RECORDS_COUNT: it is the number of rows in the column USED_SIZE: it is the used memory for the object By looking at the ration between USED_SIZE and RECORDS_COUNT you can understand what you can do in order to optimize your tabular model. Your options are: Remove the column. Yes, if it contains data you will never use in a query, simply remove the column from the tabular model Change granularity. If you are tracking time and you included milliseconds but seconds would be enough, round the data source column to the nearest second. If you have a floating point number but two decimals are good enough (i.e. the temperature), round the number to the nearest decimal is relevant to you. Split the column. Create two or more columns that have to be combined together in order to produce the original value. This technique is described in VertiPaq optimization article. Sort the table by that column. When you read the data source, you might consider sorting data by this column, so that the compression will be more efficient. However, this technique works better on columns that don’t have too many distinct values and you will probably move the problem to another column. Sorting data starting from the lower density columns (those with a few number of distinct values) and going to higher density columns (those with high cardinality) is the technique that provides the best compression ratio. After the optimization you should be able to reduce the used size and improve the count/size ration you measured before. If you are interested in a longer discussion about internal storage in VertiPaq and you want understand why this approach can save you space (and time), you can attend my 24 Hours of PASS session “VertiPaq Under the Hood” on March 21 at 08:00 GMT.

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  • We have our standards, and we need them

    - by Tony Davis
    The presenter suddenly broke off. He was midway through his section on how to apply to the relational database the Continuous Delivery techniques that allowed for rapid-fire rounds of development and refactoring, while always retaining a “production-ready” state. He sighed deeply and then launched into an astonishing diatribe against Database Administrators, much of his frustration directed toward Oracle DBAs, in particular. In broad strokes, he painted the picture of a brave new deployment philosophy being frustratingly shackled by the relational database, and by especially by the attitudes of the guardians of these databases. DBAs, he said, shunned change and “still favored tools I’d have been embarrassed to use in the ’80′s“. DBAs, Oracle DBAs especially, were more attached to their vendor than to their employer, since the former was the primary source of their career longevity and spectacular remuneration. He contended that someone could produce the best IDE or tool in the world for Oracle DBAs and yet none of them would give a stuff, unless it happened to come from the “mother ship”. I sat blinking in astonishment at the speaker’s vehemence, and glanced around nervously. Nobody in the audience disagreed, and a few nodded in assent. Although the primary target of the outburst was the Oracle DBA, it made me wonder. Are we who work with SQL Server, database professionals or merely SQL Server fanbois? Do DBAs, in general, have an image problem? Is it a good career-move to be seen to be holding onto a particular product by the whites of our knuckles, to the exclusion of all else? If we seek a broad, open-minded, knowledge of our chosen technology, the database, and are blessed with merely mortal powers of learning, then we like standards. Vendors of RDBMSs generally don’t conform to standards by instinct, but by customer demand. Microsoft has made great strides to adopt the international SQL Standards, where possible, thanks to considerable lobbying by the community. The implementation of Window functions is a great example. There is still work to do, though. SQL Server, for example, has an unusable version of the Information Schema. One cast-iron rule of any RDBMS is that we must be able to query the metadata using the same language that we use to query the data, i.e. SQL, and we do this by running queries against the INFORMATION_SCHEMA views. Developers who’ve attempted to apply a standard query that works on MySQL, or some other database, but doesn’t produce the expected results on SQL Server are advised to shun the Standards-based approach in favor of the vendor-specific one, using the catalog views. The argument behind this is sound and well-documented, and of course we all use those catalog views, out of necessity. And yet, as database professionals, committed to supporting the best databases for the business, whatever they are now and in the future, surely our heart should sink somewhat when we advocate a vendor specific approach, to a developer struggling with something as simple as writing a guard clause. And when we read messages on the Microsoft documentation informing us that we shouldn’t rely on INFORMATION_SCHEMA to identify reliably the schema of an object, in SQL Server!

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  • Investigating on xVelocity (VertiPaq) column size

    - by Marco Russo (SQLBI)
      In January I published an article about how to optimize high cardinality columns in VertiPaq. In the meantime, VertiPaq has been rebranded to xVelocity: the official name is now “xVelocity in-memory analytics engine (VertiPaq)” but using xVelocity and VertiPaq when we talk about Analysis Services has the same meaning. In this post I’ll show how to investigate on columns size of an existing Tabular database so that you can find the most important columns to be optimized. A first approach can be looking in the DataDir of Analysis Services and look for the folder containing the database. Then, look for the biggest files in all subfolders and you will find the name of a file that contains the name of the most expensive column. However, this heuristic process is not very optimized. A better approach is using a DMV that provides the exact information. For example, by using the following query (open SSMS, open an MDX query on the database you are interested to and execute it) you will see all database objects sorted by used size in a descending way. SELECT * FROM $SYSTEM.DISCOVER_STORAGE_TABLE_COLUMN_SEGMENTS ORDER BY used_size DESC You can look at the first rows in order to understand what are the most expensive columns in your tabular model. The interesting data provided are: TABLE_ID: it is the name of the object – it can be also a dictionary or an index COLUMN_ID: it is the column name the object belongs to – you can also see ID_TO_POS and POS_TO_ID in case they refer to internal indexes RECORDS_COUNT: it is the number of rows in the column USED_SIZE: it is the used memory for the object By looking at the ration between USED_SIZE and RECORDS_COUNT you can understand what you can do in order to optimize your tabular model. Your options are: Remove the column. Yes, if it contains data you will never use in a query, simply remove the column from the tabular model Change granularity. If you are tracking time and you included milliseconds but seconds would be enough, round the data source column to the nearest second. If you have a floating point number but two decimals are good enough (i.e. the temperature), round the number to the nearest decimal is relevant to you. Split the column. Create two or more columns that have to be combined together in order to produce the original value. This technique is described in VertiPaq optimization article. Sort the table by that column. When you read the data source, you might consider sorting data by this column, so that the compression will be more efficient. However, this technique works better on columns that don’t have too many distinct values and you will probably move the problem to another column. Sorting data starting from the lower density columns (those with a few number of distinct values) and going to higher density columns (those with high cardinality) is the technique that provides the best compression ratio. After the optimization you should be able to reduce the used size and improve the count/size ration you measured before. If you are interested in a longer discussion about internal storage in VertiPaq and you want understand why this approach can save you space (and time), you can attend my 24 Hours of PASS session “VertiPaq Under the Hood” on March 21 at 08:00 GMT.

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  • Using Recursive SQL and XML trick to PIVOT(OK, concat) a "Document Folder Structure Relationship" table, works like MySQL GROUP_CONCAT

    - by Kevin Shyr
    I'm in the process of building out a Data Warehouse and encountered this issue along the way.In the environment, there is a table that stores all the folders with the individual level.  For example, if a document is created here:{App Path}\Level 1\Level 2\Level 3\{document}, then the DocumentFolder table would look like this:IDID_ParentFolderName1NULLLevel 121Level 232Level 3To my understanding, the table was built so that:Each proposal can have multiple documents stored at various locationsDifferent users working on the proposal will have different access level to the folder; if one user is assigned access to a folder level, she/he can see all the sub folders and their content.Now we understand from an application point of view why this table was built this way.  But you can quickly see the pain this causes the report writer to show a document link on the report.  I wasn't surprised to find the report query had 5 self outer joins, which is at the mercy of nobody creating a document that is buried 6 levels deep, and not to mention the degradation in performance.With the help of 2 posts (at the end of this post), I was able to come up with this solution:Use recursive SQL to build out the folder pathUse SQL XML trick to concat the strings.Code (a reminder, I built this code in a stored procedure.  If you copy the syntax into a simple query window and execute, you'll get an incorrect syntax error) Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} -- Get all folders and group them by the original DocumentFolderID in PTSDocument table;WITH DocFoldersByDocFolderID(PTSDocumentFolderID_Original, PTSDocumentFolderID_Parent, sDocumentFolder, nLevel)AS (-- first member      SELECT 'PTSDocumentFolderID_Original' = d1.PTSDocumentFolderID            , PTSDocumentFolderID_Parent            , 'sDocumentFolder' = sName            , 'nLevel' = CONVERT(INT, 1000000)      FROM (SELECT DISTINCT PTSDocumentFolderID                  FROM dbo.PTSDocument_DY WITH(READPAST)            ) AS d1            INNER JOIN dbo.PTSDocumentFolder_DY AS df1 WITH(READPAST)                  ON d1.PTSDocumentFolderID = df1.PTSDocumentFolderID      UNION ALL      -- recursive      SELECT ddf1.PTSDocumentFolderID_Original            , df1.PTSDocumentFolderID_Parent            , 'sDocumentFolder' = df1.sName            , 'nLevel' = ddf1.nLevel - 1      FROM dbo.PTSDocumentFolder_DY AS df1 WITH(READPAST)            INNER JOIN DocFoldersByDocFolderID AS ddf1                  ON df1.PTSDocumentFolderID = ddf1.PTSDocumentFolderID_Parent)-- Flatten out folder path, DocFolderSingleByDocFolderID(PTSDocumentFolderID_Original, sDocumentFolder)AS (SELECT dfbdf.PTSDocumentFolderID_Original            , 'sDocumentFolder' = STUFF((SELECT '\' + sDocumentFolder                                         FROM DocFoldersByDocFolderID                                         WHERE (PTSDocumentFolderID_Original = dfbdf.PTSDocumentFolderID_Original)                                         ORDER BY PTSDocumentFolderID_Original, nLevel                                         FOR XML PATH ('')),1,1,'')      FROM DocFoldersByDocFolderID AS dfbdf      GROUP BY dfbdf.PTSDocumentFolderID_Original) And voila, I use the second CTE to join back to my original query (which is now a CTE for Source as we can now use MERGE to do INSERT and UPDATE at the same time).Each part of this solution would not solve the problem by itself because:If I don't use recursion, I cannot build out the path properly.  If I use the XML trick only, then I don't have the originating folder ID info that I need to link to the document.If I don't use the XML trick, then I don't have one row per document to show in the report.I could conceivably do this in the report function, but I'd rather not deal with the beginning or ending backslash and how to attach the document name.PIVOT doesn't do strings and UNPIVOT runs into the same problem as the above.I'm excited that each version of SQL server provides us new tools to solve old problems and/or enables us to solve problems in a more elegant wayThe 2 posts that helped me along:Recursive Queries Using Common Table ExpressionHow to use GROUP BY to concatenate strings in SQL server?

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  • Executing Stored Procedures in Visual Studio LightSwitch.

    - by dataintegration
    A LightSwitch Project is very easy way to visualize and manipulate information directly from one of our ADO.NET Providers. But when it comes to executing the Stored Procedures, it can be a bit more complicated. In this article, we will demonstrate how to execute a Stored Procedure in LightSwitch. For the purposes of this article, we will be using the RSSBus Email Data Provider, but the same process will work with any of our ADO.NET Providers. Creating the RIA Service. Step 1: Open Visual Studio and create a new WCF RIA Service Class Project. Step 2:Add the reference to the RSSBus Email Data Provider dll in the (ProjectName).Web project. Step 3: Add a new Domain Service Class to the (ProjectName).Web project. Step 4: In the new Domain Service Class, create a new class with the attributes needed for the Stored Procedure's parameters. In this demo, the Stored Procedure we are executing is called SendMessage. The parameters we will need are as follows: public class NewMessage{ [Key] public int ID { get; set; } public string FromEmail { get; set; } public string ToEmail { get; set; } public string Subject { get; set; } public string Text { get; set; } } Note: The created class must have an ID which will serve as the key value. Step 5: Create a new method that will executed when the insert event fires. Inside this method you can use the standards ADO.NET code which will execute the stored procedure. [Insert] public void SendMessage(NewMessage newMessage) { try { EmailConnection conn = new EmailConnection(connectionString); EmailCommand comm = new EmailCommand("SendMessage", conn); comm.CommandType = System.Data.CommandType.StoredProcedure; if (!newMessage.FromEmail.Equals("")) comm.Parameters.Add(new EmailParameter("@From", newMessage.FromEmail)); if (!newMessage.ToEmail.Equals("")) comm.Parameters.Add(new EmailParameter("@To", newMessage.ToEmail)); if (!newMessage.Subject.Equals("")) comm.Parameters.Add(new EmailParameter("@Subject", newMessage.Subject)); if (!newMessage.Text.Equals("")) comm.Parameters.Add(new EmailParameter("@Text", newMessage.Text)); comm.ExecuteNonQuery(); } catch (Exception exc) { Console.WriteLine(exc.Message); } } Step 6: Create a query method. We are not going to be using getNewMessages(), so it does not matter what it returns for the purpose of our example, but you will need to create a method for the query event as well. [Query(IsDefault=true)] public IEnumerable<NewMessage> getNewMessages() { return null; } Step 7: Rebuild the whole solution. Creating the LightSwitch Project. Step 8: Open Visual Studio and create a new LightSwitch Application Project. Step 9: On the Data Sources, add a new data source. Choose a WCF RIA Service Step 10: Choose to add a new reference and select the (Project Name).Web.dll generated from the RIA Service. Step 11: Select the entities you would like to import. In this case, we are using the recently created NewMessage entity. Step 13: On the Screens section, create a new screen and select the NewMessage entity as the Screen Data. Step 14: After you run the project, you will be able to add a new record and save it. This will execute the Stored Procedure and send the new message. If you create a screen to check the sent messages, you can refresh this screen to see the mail you sent. Sample Project To help you with get started using stored procedures in LightSwitch, download the fully functional sample project. You will also need the RSSBus Email Data Provider to make the connection. You can download a free trial here.

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  • Using parameters in reports for VIsual Studio 2008

    - by Jim Thomas
    This is my first attempt to create a Visual Studio 2008 report using parameters. I have created the dataset and the report. If I run it with a hard-coded filter on a column the report runs fine. When I change the filter to '?' I keep getting this error: No overload for method 'Fill' takes '1' argument Obviously I am missing some way to connect the parameter on the dataset to a report parameter. I have defined a report parameter using the Report/Report Parameter screen. But how does that report parameter get tied to the dataset table parameter? Is there a special naming convention for the parameter? I have Googled this a half dozen times and read the msdn documentation but the examples all seem to use a different approach (like creating a SQL query rather then a table based dataset) or entering the parameter name as "=Parameters!name.value" but I can't figure out where to do that. One msdn example suggestted I needed to create some C# code using a SetParameters() method to make the connection. Is that how it is done? If anyone can recommend a good walk-through I'd appreciate it. Edit: After more reading it appears I don't need report parameters at all. I am simply trying to add a parameter to the database query. So I would create a text box on the form, get the user's input, then apply that parameter programmatically to the fill() argument list. The report parameter on the other hand is an ad-hoc value generally entered by a user that you want to appear on the report. But there is no relationship between report parameters and query/dataset parameters. Is that correct?

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  • Using Perl WWW::Facebook::API to Publish To Facebook Newsfeed

    - by Russell C.
    We use Facebook Connect on our site in conjunction with the WWW::Facebook::API CPAN module to publish to our users newsfeed when requested by the user. So far we've been able to successfully update the user's status using the following code: use WWW::Facebook::API; my $facebook = WWW::Facebook::API->new( desktop => 0, api_key => $fb_api_key, secret => $fb_secret, session_key => $query->cookie($fb_api_key.'_session_key'), session_expires => $query->cookie($fb_api_key.'_expires'), session_uid => $query->cookie($fb_api_key.'_user') ); my $response = $facebook->stream->publish( message => qq|Test status message|, ); However, when we try to update the code above so we can publish newsfeed stories that include attachments and action links as specified in the Facebook API documentation for Stream.Publish, we have tried about 100 different ways without any success. According to the CPAN documentation all we should have to do is update our code to something like the following and pass the attachments & action links appropriately which doesn't seem to work: my $response = $facebook->stream->publish( message => qq|Test status message|, attachment => $json, action_links => [@links], ); For example, we are passing the above arguments as follows: $json = qq|{ 'name': 'i\'m bursting with joy', 'href': ' http://bit.ly/187gO1', 'caption': '{*actor*} rated the lolcat 5 stars', 'description': 'a funny looking cat', 'properties': { 'category': { 'text': 'humor', 'href': 'http://bit.ly/KYbaN'}, 'ratings': '5 stars' }, 'media': [{ 'type': 'image', 'src': 'http://icanhascheezburger.files.wordpress.com/2009/03/funny-pictures-your-cat-is-bursting-with-joy1.jpg', 'href': 'http://bit.ly/187gO1'}] }|; @links = ["{'text':'Link 1', 'href':'http://www.link1.com'}","{'text':'Link 2', 'href':'http://www.link2.com'}"]; The above, nor any of the other representations we tried seem to work. I'm hoping some other perl developer out there has this working and can explain how to create the attachment and action_links variables appropriately in Perl for posting to the Facebook news feed through WWW::Facebook::API. Thanks in advance for your help!

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  • Using OLEDB parameters in .NET when connecting to an AS400/DB2

    - by Jeff Stock
    I have been pulling my hair out trying to figure out what I can't get parameters to work in my query. I have the code written in VB.NET trying to do a query to an AS/400. I have IBM Access for Windows installed and I am able to get queries to work, just not with parameters. Any time I include a parameter in my query (ex. @MyParm) it doesn't work. It's like it doesn't replace the parameter with the value it should be. Here's my code: I get the following error: SQL0206: Column @MyParm not in specified tables Here's my code: Dim da As New OleDbDataAdapter Dim dt As New DataTable da.SelectCommand = New OleDbCommand da.SelectCommand.Connection = con da.SelectCommand.CommandText = "SELECT * FROM MyTable WHERE Col1 = @MyParm" With da.SelectCommand.Parameters .Add("@MyParm", OleDbType.Integer, 9) .Item("@MyParm").Value = 5 End With ' I get the error here of course da.Fill(dt) I can replace @MyParm with a literal of 5 and it works fine. What am I missing here? I do this with SQL Server all the time, but this is the first time I am attempting it on an AS400.

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