ASP.NET Web PDF Document Viewer/Editor Control Library

control to the debugged application, it checks whether the source files are modified. If this is the case, the compiler and the linker try to ensure that the debugged application is adapted according to the modifications of the source file. Many developers question this feature because it supports the code first, think later approach, and often results in incomplete and unrepeatable tests. If there is at least one file in your project that is compiled with /clr or any of its variants, you cannot use Edit and Continue anymore. In native projects, Edit and Continue requires special debug information, which can be generated with the /ZI command-line option. This switch is incompatible with managed compilation. Instead of the /ZI switch, you should use the /Zi switch. This switch creates debug information without support for Edit and Continue. Another feature that is not supported for the managed compilation model is runtime checking of code, which can emit extra code to avoid certain pitfalls that are typical for unmanaged code. Runtime checks can be turned on at various levels with the command-line options /RTCu, /RCTc, and /RTCcsu. All these flags are incompatible with managed compilation. The compiler option /Gm is not compatible with managed compilation, either. This switch can reduce the rebuild time by avoiding recompilations of source files that are not affected by modifications in the included header files. The lack of this switch for managed compilation can reduce the compilation speed; however, if you use the managed compilation models only when they are needed, this overhead can be ignored in many projects.

how to make barcodes in excel mac 2011, barcode generator for excel free download, how to create barcode in microsoft excel 2013, excel vba barcode generator, 2d barcode excel 2013, excel barcodes, free excel barcode generator download, free barcode add in for excel 2013, how to make 2d barcodes in excel, excel barcode generator vba,

You ve seen how you can derive subtotals with the help of the GROUP BY clause. The GROUP BY clause with a ROLLUP operator gives you subtotals and total values. You can thus build subtotal aggregates at any level. In other words, the ROLLUP operator gets you the aggregates at each group by level. The subtotal rows and the grand total row are called the superaggregate rows. Listing A-3 shows an example of using the ROLLUP operator. Listing A-3. A GROUP BY Clause with a ROLLUP Operator SQL> SELECT Year,Country,SUM(Sales) AS Sales FROM Company_Sales GROUP BY ROLLUP (Year,Country); YEAR COUNTRY SALES ----------------------1997 France 3990 1997 USA 13090 1997 17080 1998 France 4310 1998 USA 13900 1998 18210 1999 France 4570 1999 USA 14670 1999 19240 54530 /*This is the grand total */ SQL>

You can consider the CUBE operator to be an extension of the ROLLUP operator, as it helps extend the standard Oracle GROUP BY clause. The CUBE operator computes all possible combinations of subtotals in a GROUP BY operation. In the previous example, the ROLLUP operator gave you yearly subtotals. Using the CUBE operator, you can get countrywide totals in addition to the yearly totals. Here s a simple example: SQL> SELECT department_id, job_id, SUM(salary) 4 FROM employees 5 GROUP BY CUBE (department_id, job_id); DEPARTMENT_ID JOB_ID SUM(SALARY) ------------- ---------- ----------------10 AD_ASST 44000 20 MK_MAN 130000 20 MK_REP 60000 30 PU_MAN 110000 30 PU_CLERK 139000 . . . SQL>

ALLTHEFILES=$@

As you ve seen, the ROLLUP operator gets you the superaggregate subtotals and grand totals. The GROUPING operator in a GROUP BY clause helps you distinguish between superaggregated subtotals and the grand total column from the other row data.

The GROUPING SETS operator lets you group multiple sets of columns when you re calculating aggregates such as sums. Here s an example that shows how you can use this operator to calculate aggregates over three groupings: (year, region, item), (year, item), and (region, item). The GROUPING SETS operator eliminates the need for inefficient UNION ALL operators. SQL> SELECT year, region, item, sum(sales) FROM regional_salesitem GROUP BY GROUPING SETS (( year, region, item), (year, item), (region, item));

The HAVING operator lets you restrict or exclude the results of a GROUP BY operation, in essence putting a WHERE condition on the GROUP BY clause s result set. In the following example, the HAVING operator restricts the query results to only those departments that have a maximum salary greater than 20,000: SQL> SELECT department_id, max(salary) 2 FROM employees 3 GROUP BY department_id 4* HAVING MAX(salary)>20000; DEPARTMENT_ID MAX(SALARY) ------------- ----------90 24000 SQL>

Subqueries resolve queries that have to be processed in multiple steps where the final result depends on the results of a child query or subquery to the main query. If the subquery occurs in the WHERE clause of the statement, it s called a nested subquery.

Before I continue with the discussion of the step-by-step migration, take a look at Table 7-3, which summarizes all the differences between the managed compilation models that I have discussed here. Table 7-3. Comparing the Compilation Models

To get a little more specific, consider the following:

The following query gives you the top ten employees in a firm ranked by salary. You can just as easily retrieve the bottom ten employees by using the ORDER BY clause instead of the ORDER BY DESC clause. SQL> SELECT emp_id, emp_name, job, manager, salary FROM (SELECT emp_id, emp_name, job, manager, salary, RANK() OVER (ORDER BY SALARY DESC NULLS LAST) AS Employee_Rank FROM employees ORDER BY SALARY DESC NULLS LAST) WHERE employee_Rank < 5; Subqueries can be single-row or multiple-row SQL statements. Let s take a quick look at both types of subqueries.