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21 Mar 2016 ... This is a C# example to convert PDF file to multi Tiff via a free C# PDF library. It's very simple and easy. How? I will show you.

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Join algorithms are the physical strategies SQL Server can use to process joins. SQL Server supports three join algorithms: nested loops, merge, and hash. In the query execution plan, the join algorithm appears under the join operator s Physical Operation property and the logical join type under Logical Operation. The following sections describe the different join algorithms. In my examples I will use the Performance database that was used in 4, Query Tuning. The code to create and populate this sample database is provided in 4, Listing 4-1. In addition, run the following code to create a couple of indexes used in the plans for the queries that I ll demonstrate:



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Windows 8 Convert PDF file to multipage Tiff in C# - Step by Step ...
21 Mar 2016 ... This is a C# example to convert PDF file to multi Tiff via a free C# PDF library . It's very simple and easy. How? I will show you.

C# provides three syntax variants for declaring arrays, including two variants to deal with arrays of multiple dimensions: single-dimensional, multidimensional (rectangular), and jagged (arrays of arrays). Java makes no distinction between multidimensional and jagged arrays.

USE Performance; CREATE INDEX idx_nc_cn_i_cid ON dbo.Customers(custname) INCLUDE(custid); CREATE INDEX idx_nc_cid_od_i_oid_eid_sid ON dbo.Orders(custid, orderdate) INCLUDE(orderid, empid, shipperid);

// Asynchronous handlers here... private void theListBox_SelectionChanged(object sender, SelectionChangedEventArgs e) { string key = (theListBox.SelectedItem as ProductInfo).Product; } productsService.GetProductAsync(key, this);





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A nested loops join operator receives one set of rows from its outer input (the upper input in the graphical query plan). These outer input rows are typically the rows of one of the joined tables, after some sorting or ltering, if the optimizer decides such processing is possible and ef cient when done before joining the tables and matching rows. Then for each such row of the outer input, using a loop, this operator applies some access method to obtain the matching rows from the inner input of the join (the lower input in the plan). A nested loops join algorithm can be used with both equi-joins and non-equi-joins, while the other algorithms require at least one equi-join predicate. For logical join types, a nested loops join can be used with cross, inner, left outer, left semi and anti-semi joins, and cross and outer apply. A nested loops join algorithm cannot be used with full and right outer joins and right semi and anti-semi joins. Nested loops usually works best with small inputs (not necessarily small tables). For each row of the outer input, matching rows are sought from the inner input. Ideally, these matching rows will be found in a small number of ef cient searches. The number of searches is smallest when the smaller input is the outer one, and the searches are most ef cient when the join condition is selective and there s a useful index on the inner input s join column. With this in mind, the following scale describes the optimization you will get for different indexing options on the inner table s join column, from worst to best. The access method

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The syntax for array declaration and creation in C# is less flexible than in Java; the square brackets must follow the type specification. If anything, however, this avoids confusion, improving code clarity without reducing functionality. Table 5-8 demonstrates the Java and C# syntax for array declaration and creation. We use arrays of type int in these examples, but C#, like Java, will support arrays of any valid type, including delegates, interfaces, and abstract classes.

in parentheses occurs once for each row in the join s outer input; this access nds matching rows in the join s inner input:

13 . . Run the program . When the browser opens, you can see a collection of products on the right-hand side . When you select a product, the details appear on the left-hand side .

No index (table scan) Nonclustered noncovering index (when selective enough, seek + partial ordered scan + lookups) Clustered index (seek + partial scan) Nonclustered covering (seek + partial scan)

Java int[] x = new int[5] int[][] x = new int[5][5] int[][][] y = new int[5][5][5] int[][] x = new int[5][5] int[][][] x = new int [5][5][5]

The following query, which produces the plan shown in Figure 7-10, is an example of a query for which the optimizer chooses the nested loops operator:

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