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public ArrayList dataRows; } This class consists of three, serializable ArrayList objects that contain column names, column types, and data rows. The serialization process now involves the GhostDataTable class rather than the DataTable object, as shown here: private void BinarySerialize(DataTable dt, string outputFile) { BinaryFormatter bf = new BinaryFormatter(); StreamWriter swBin = new StreamWriter(outputFile); // Instantiate and fill the worker class GhostDataTable ghost = new GhostDataTable(); CreateTableGraph(dt, ghost); // Serialize the object bf.Serialize(swBin.BaseStream, ghost); swBin.Close(); } The key event here is how the DataTable object is mapped to the GhostDataTable class. The mapping takes place in the folds of the CreateTableGraph routine. Mapping Table Information The CreateTableGraph routine populates the colNames array with column names and the colTypes array with the names of the data types, as shown in the following code. The dataRows array is filled with an array that represents all the values in the row. void CreateTableGraph(DataTable dt, GhostDataTable ghost) { // Insert column information (names and types) foreach(DataColumn col in dt.Columns) { ghost.colNames.Add(col.ColumnName); ghost.colTypes.Add(col.DataType.FullName); } // Insert rows information foreach(DataRow row in dt.Rows) ghost.dataRows.Add(row.ItemArray); } The DataRow object's ItemArray property is an array of objects. It turns out to be particularly handy, as it lets you handle the contents of the entire row as a single, monolithic piece of data. Internally, the get accessor of ItemArray is implemented as a simple loop that reads and stores one column after the next. The set accessor is even 345

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Home · Forum · Question Forums · Excel Questions; Calculating UPC Barcode Check Digits ... In our case, divide 85 by 10 we get the remainder 5. The check digit then is the ... Cells A2 to A12 are 7, 2, 6, 4, 1, 2, 1, 7 ,5, 4, 2 correspondingly. 3. Cell A13 has the following formula to calculate the check digit:

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using System; using System.Collections; using System.ComponentModel; using System.IO; using System.Data; using System.Data.SqlClient; using System.Drawing; using System.Web; using System.Web.SessionState; using System.Web.UI; using System.Web.UI.WebControls; using System.Web.UI.HtmlControls; namespace SimpleXML {

more valuable, because it automatically groups all the changes in a pair of BeginEdit/EndEdit calls and fires column-changed events as appropriate. Sizing Up Serialized Data The sample application shown in Figure 9-9 demonstrates that a DataTable object serialized using a ghost class can be up to 80 percent smaller than an identical object serialized the standard way.

Capability Maturity Model is a service mark of Carnegie Mellon University. You can download the complete Enterprise CI Maturity Model white paper at www.anthillpro.com/html/ resources/default.html. To learn more about Urban Code and its Anthill Pro CI products, visit www.anthillpro.com.

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Figure 9-9: The difference between ordinary and custom binary serialization. In particular, consider the DataTable object resulting from the following query: SELECT * FROM [Order Details] The table contains five columns and 2155 records. It would take up half a megabyte if serialized to the binary formatter as a DataTable object. By using an intermediate ghost class, the size of the output is 83 percent less. Looking at things the other way round, the results of the standard serialization process is about 490 percent larger than the results you obtain using the ghost class. Of course, not all cases give you such an impressive result. In all the tests I ran on the Northwind database, however, I got an average 60 percent reduction. The more the table content consists of numbers, the more space you save. The more BLOB fields you have, the less space you save. Try running the following query, in which photo is the BLOB field that contains an employee's picture: SELECT photo FROM employees The ratio of savings here is only 25 percent and represents the bottom end of the Northwind test results. Interestingly, if you add only a couple of traditional fields to the query, the ratio increases to 28 percent. The application shown in Figure 9-9 (included in this book's sample files) is a useful tool for fine-tuning the structure of the table and the queries for better serialization results. Deserializing Data Once the binary data has been deserialized, you hold an instance of the ghost class that must be transformed back into a usable DataTable object. Here's how the sample application accomplishes this: DataTable BinaryDeserialize(string sourceFile) 346

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/// <summary> /// Summary description for WebForm1. /// </summary> public class WebForm1 : System.Web.UI.Page { public string xmlStr; public WebForm1() { Page.Init += new System.EventHandler(Page_Init); }

and release solutions. It was the result of a discussion at the Continuous Integration and Testing Conference (CITCON). ECIMM breaks a CI process into four distinct areas: building, deploying, testing, and reporting. In each area, five different compliance levels introductory, novice, intermediate, advanced, and insane are provided, for ranking a level of compliance. We ll look at these in a moment. Additionally, the industry norm and a best practice target level for each area are identified. You can use ECIMM to rate where your company is compared to others and set a target for where your company should be in relation to best practices. But to do this, you need to understand ECIMM, starting with building.

{ BinaryFormatter bf = new BinaryFormatter(); StreamReader sr = new StreamReader(sourceFile); GhostDataTable ghost = (GhostDataTable) bf.Deserialize(sr.BaseStream); sr.Close(); // Rebuild the DataTable object DataTable dt = new DataTable(); // Add columns for(int i=0; i<ghost.colNames.Count; i++) { DataColumn col DataColumn(ghost.colNames[i].ToString(), dt.Columns.Add(col); } // Add rows for(int i=0; i<ghost.dataRows.Count; i++) { DataRow row = dt.NewRow(); row.ItemArray = (object[]) ghost.dataRows[i]; dt.Rows.Add(row); } dt.AcceptChanges(); return dt; } The information stored in the ghost arrays is used to add columns and rows to a newly created DataTable object. Figure 9-9 demonstrates the perfect equivalence of the objects obtained by deserializing a DataTable and a ghost class. Caution The ghost class used in the preceding sample code serializes the minimal amount of information necessary to rebuild the DataTable object. You should add new properties to track other DataColumn or DataRow properties that are significant in your own application. Note that you can't simply serialize the DataColumn and DataRow objects as a whole because none of them is marked as serializable. = new

private void Page_Load(object sender, System.EventArgs e) { // Put user code to initialize the page here System.Data.SqlClient.SqlConnection cn; System.Data.SqlClient.SqlDataAdapter da; System.Data.DataSet ds; System.IO.StreamWriter sr;

As we discuss ECIMM, you ll see that many companies are in the introductory stage for most areas. Building (see figure 12.12) is no exception. Building refers to using a source code repository, and the way your CI process performs the actual build. Look carefully at the introductory level, where most companies are. If you re performing manual builds that check out the latest changes, you re probably at this level. Compare that to the best practice. Are your builds continuous, meaning that they run with every check-in Do you use a single machine, or are your builds clustered (Remember that earlier in this chapter we talked about parallel builds.) What will it

Type.GetType(ghost.colTypes[i].ToString()));

cn=new SqlConnection("server=localhost;" + "Integrated Security=SSPI;Initial Catalog=Northwind"); da=new SqlDataAdapter("SELECT * FROM Territories",cn); try { cn.Open(); ds = new System.Data.DataSet(); da.Fill(ds,"Territories"); xmlStr=ds.GetXml();

The contents of an ADONET DataSet object can be loaded from an XML stream or document for example, from an XML stream previously created using the WriteXml method To fill a DataSet object with XML data, you use the ReadXml method of the class The ReadXml method fills a DataSet object by reading from a variety of sources, including disk files, NET Framework streams, or instances of XmlReader objects In general, the ReadXml method can process any type of XML file, but of course the nontabular and rather irregularly shaped structure of XML files might create some problems and originate unexpected results when the files are rendered in terms of rows and columns In addition, the ReadXml method is extremely flexible and lets you load data according to a particular schema or even infer the schema from the data.

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