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How To Open PDF File In New Tab In MVC Using C# - C# Corner
Jul 20, 2018 · In this post, we will learn about how to open PDF or other files in a new tab using C#. For this example, first we need to return a file from MVC ...

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T643966 - PDF Viewer for ASP . Net | DevExpress Support Center
7 Jun 2018 ... This issue was already discussed in the context of the PDF Viewer for ASP . Net thread. Please refer to it for more information. Should you have ...

And here are the performance measures I got for the query in this case: Logical reads: 63 Physical reads: 6 CPU time: 0 ms Elapsed time: 136 ms Estimated subtree cost: 0.0620931 Interestingly, graphical execution plans in SQL Server 2000 did not clearly distinguish between an RID lookup and a clustering key lookup, the latter in fact being a seek within the clustered index. In SQL Server 2000, both were just called Bookmark Lookup. As you can see in the plans shown in Figures 3-33 and 3-35 , graphical plans in SQL Server 2005 depict the difference more accurately. This access method is efficient only when the query is very selective (a point query or a small range). Feel free to play with the range in the filter, increasing it gradually, and see how dramatically the cost increases as the range grows larger. That will happen up to the point at which the optimizer figures that it would simply be more efficient to apply a table scan rather than using the index. I'll demonstrate such an exercise later in the chapter in the "Index Optimization Scale " section. Remember that ordered operations, like the ordered partial scan part of this access method, can take place both in a forward or backwards manner. In our query's case, it was forward, but you can explore cases like a filter on orderid <= 100 , and see an ordered backwards partial scan. An indication of whether the scan was ordered forward or backwards would not show up in the operator's yellow information box; rather, it would show up in the Scan Direction measure in the operator's Properties dialog box.

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The optimizer is smart enough to realize that it can reuse the information obtained for one row for all other rows with the same app and ts values Therefore, it invoked the Index Scan operator that scans the relevant range of rows and the Stream Aggregate operator that counts them only 14 times! Observe the Table Spool operator as well, which represents a temporary table holding the session count for each distinct combination of app and starttime values Notice the number of rebinds (14) and the number of rewinds (999,986) Remember that a rebind means that one or more correlated parameters of the join operator changed and that the inner side must be reevaluated That happens 14 times, once for each distinct pair of app and starttime meaning that the actual count activity preceding the operator took place only 14 times.

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In this section, we will use the Sample_USA database to illustrate the use of T-SQL and spatial processing to solve the following common business problems:

A rewind means that none of the correlated parameters changed and that the prior inner result set can be reused; this happened 999,986 times (1,000,000 14 = 999,986) That s why the query nished in only a few seconds A production environment might have only a few applications, but so few distinct start times would be unlikely Naturally, with more realistic data distribution for our scenario, the count activity will take place many more times than 14, and you will get a much slower query It was a mistake to prepare the sample data by simply copying the rows from the small Sessions table many times The distribution of values in the different columns should represent production environments more realistically Run the following code to populate BigSessions with more adequate sample data:.

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The optimizer typically uses the unordered nonclustered index scan + lookups access method when the following conditions are in place: The query is selective enough The optimal index for a query does not cover it The index doesn't maintain the sought keys in order For example, such is the case when you filter a column that is not the first key column in the index. The access method will involve an unordered full scan of the leaf level of the index, followed by a series of lookups. As I mentioned, the query must be selective enough to justify this access method; otherwise, with too many lookups it will be more expensive than simply scanning the whole table. To figure out the selectivity of the query, SQL Server will need statistics on the filtered column (a histogram with the distribution of values). If such statistics do not exist, SQL Server will create them. For example, the following query will use such an access method against the index idx_nc_sid_od_cid , created on the key columns (shipperid, orderdate, custid ), where custid is not the first key column in the list: SELECT orderid, custid, empid, shipperid, orderdate FROM dbo.Orders WHERE custid = 'C0000000001';

Working with geography data validity issues Nearest neighbor searches Spatial joins Finding site locations within geographic regions Processing spatial data Working with geography data Processing the Highways table in the Sample_USA database

IF OBJECT_ID('dbo.BigSessions', 'U') IS NOT NULL DROP TABLE dbo.BigSessions; SELECT ROW_NUMBER() OVER(ORDER BY (SELECT 0)) AS keycol, D.*, DATEADD( second,

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SQL Server 2008 supports three OGC-based data formats, which may be used to load spatial data:

Figure 3-36 illustrates the access method over a heap, and Figure 3-37 shows the execution plan for the query.

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Steven Holzner is the award-winning author of more than 100 books, including. Physics For Dummies. He did his undergrad .

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