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The derived table UA has a row for each distinct source row from each input, along with the source identifier (E for Employees, C for Customers) and the number of times (Cnt) it appears in the source. The query generating the derived table P groups the rows from UA by Country, Region, and City. It uses a couple of MAX(CASE...) expressions to return the counts of duplicates from both sources in the same result row, calling them ECnt and CCnt. This is a technique to pivot data, and I'll talk about it in detail in 6. At this point, each distinct occurrence of Country, Region, City has a single row in P, along with the count of duplicates it had in each input. Finally, the outer query joins P with Nums to generate duplicates. The join condition is n <= ECnt CCnt. If you think about it, you will get the exact number of duplicates dictated by EXCEPT ALL. That is, if ECnt CCnt is greater than 0, you will get that many duplicates; otherwise, you'll get none. Even though you don't have a native operator for EXCEPT ALL in SQL Server 2005, you can easily generate the logical equivalent using EXCEPT and the ROW_NUMBER function. Here's the solution: WITH EXCEPT_ALL AS ( SELECT ROW_NUMBER() OVER(PARTITION BY Country, Region, City ORDER BY Country, Region, City) AS rn, Country, Region, City FROM dbo.Employees EXCEPT SELECT ROW_NUMBER() OVER(PARTITION BY Country, Region, City ORDER BY Country, Region, City) AS rn, Country, Region, City FROM dbo.Customers ) SELECT Country, Region, City FROM EXCEPT_ALL; .net code 39 reader Code 39 Reader In VB. NET - OnBarcode
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NET barcode reader and generator SDK for developers. It supports ... Supported barcode types: Australian Post, Aztec, Code11, Code39 , Code128, Codabar,. You can refer to Oracle Database Reference in the Oracle documentation to get a complete overview of the Oracle data dictionary. Fortunately, the Oracle data dictionary contains a view that lists all Oracle data dictionary views, with a short description of their contents. This view is called DICTIONARY; DICT is a shorter synonym for the same view. Listing 3-9 shows an abbreviated version of the query results. It s abbreviated for a practical reason: the DICT view contains more than 600 rows! Listing 3-9. Using the DICT View select * from dict order by table_name; TABLE_NAME COMMENTS -------------------- ---------------------------------------ALL_ALL_TABLES Description of all object and relational tables accessible to the user ALL_APPLY Details about each apply process that dequeues from the queue visible to the current user ... USER_COL_COMMENTS Comments on columns of user's tables and views USER_COL_PRIVS Grants on columns for which the user is the owner, grantor or grantee ... V$TIMEZONE_NAMES Synonym for V_$TIMEZONE_NAMES V$VERSION Synonym for V_$VERSION 610 rows selected. Data dictionary view names typically have prefixes that suggest the existence of four main categories. In Listing 3-9, you can see the ALL, USER, and V$ prefixes. The fourth common prefix is DBA. The idea behind this is that, most of the time, you are interested in information about a certain subcategory of database objects. By using the appropriate views, you automatically suppress information that is not of interest to you. Also, depending on your database privileges, you will not be allowed to use certain categories of data dictionary views. Table 3-4 lists the most common data dictionary view name prefixes. (Note that not all data dictionary views have one of these prefixes.) Table 3-4. Common Data Dictionary View Prefixes Such a procedure is appropriate if long-term changes are essential but you also require summaries of details . If summaries are important to the presentation, such a window chart is practically a must-have . Due to the high optical aggregation, displaying the entire value chain of 96 data points, for example, would prevent the viewer from recognizing essential details . The page specification file is an XML file with the extension page . Remember, pages are a special type of Tapestry component, and this is the configuration file for the Home page component of our application. Pages can contain components, and in this case our page contains one component of type Insert. The Insert component is one of many built-in Tapestry components. Insert gives you the ability to insert text dynamically in the HTML response with the option of filtering special characters or formatting by using a java.text.Format instance. Listing 7-3 shows the contents of the Home.page file. Listing 7-3. The Page Specification XML File (Home.page) < xml version="1.0" > <!DOCTYPE page-specification PUBLIC "-//Apache Software Foundation//Tapestry Specification 4.0//EN" "http://jakarta.apache.org/tapestry/dtd/Tapestry_4_0.dtd"> <page-specification class="com.integrallis.time.Home"> <component id="time" type="Insert"> <binding name="value" value="ognl:time"/> </component> </page-specification> .net code 39 reader NET Code 39 Reader - Barcode SDK
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