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(N1 + N2 + + Nx) rows would be returned, where Ni is the number of related Category entities for the ith Item record For nontrivial numbers of N and i, the retrieved result set could be quite large, potentially causing significant database performance issues This is why JPA makes the conservative assumption of defaulting to lazy loading for @OneToMany and @ManyToMany annotations Table 94 lists the default fetch behavior for each type of relationship annotation..



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Sriraj: Display PDF File in Web page Using Iframe in ASP . NET
12 Apr 2012 ... Display PDF File in Web page Using Iframe in ASP . NET . <%@ Page Language=" C# " AutoEventWireup="true" CodeFile="pdfview. aspx .cs" ...

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C# PDF Viewer opensource | The ASP.NET Forums
Hi Team, I want to upload pdf file and show it in the browser as it is. I was able to read pdf file using pdfbox but cannot display the content ...

Starting with Oracle9i Release 1, a new way to manage PGA memory was introduced that avoids using the SORT_AREA_SIZE, BITMAP_MERGE_AREA_SIZE, and HASH_AREA_SIZE parameters It was introduced to attempt to address a few issues: Ease of use: Much confusion surrounded how to set the proper *_AREA_SIZE parameters There was also much confusion over how those parameters actually worked and how memory was allocated Manual allocation was a one-size-fits-all method: Typically as the number of users running similar applications against a database went up, the amount of memory used for sorting/hashing went up linearly as well If 10 concurrent users with a sort area size of 1MB used 10MB of memory, 100 concurrent users would probably use 100MB, 1,000 would probably use 1000MB, and so on Unless the DBA was sitting at the console continually adjusting the sort/hash area size settings, everyone would pretty much use the same values all day long.





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How to render pdfs using C# - Stack Overflow
Google has open sourced its excellent PDF rendering engine - PDFium ... There is a C# nuget package called PdfiumViewer which gives a C#  ...

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How to open pdf file in new tab from c# server code - C# Corner
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Once you have defined your DAO interface, it is easy to choose one of Spring s convenience classes, such as HibernateDaoSupport, to subclass and implement. This way, your class takes advantage of Spring s data access support, while implementing your system s specific DAO contract.

Table 9.4 Behavior of loading of associated entity is different for each kind of association by default. We can change the loading behavior by specifying the fetch element with the relationship. Relationship Type One-to-one One-to-many Many-to-one Many-to-many Default Fetch Behavior EAGER LAZY EAGER LAZY Number of Entities Retrieved Single entity retrieved Collection of entities retrieved Single entity retrieved Collection of entities retrieved

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Consider the previous example, where you saw for yourself how the physical I/O to temp decreased as the amount of RAM we allowed ourselves to use went up If you run that example for yourself, you will almost certainly see a decrease in response time as the amount of RAM available for sorting increases Manual allocation fixes the amount of memory to be used for sorting at a more or less constant number, regardless of how much memory is actually available Automatic memory management allows us to use the memory when it is available; it dynamically adjusts the amount of memory we use based on the workload Memory control: As a result of the previous point, it was hard, if not impossible, to keep the Oracle instance inside a box memory-wise.

The relationship defaults are not right for all circumstances, however. While the eager fetching strategy makes sense for one-to-one and many-to-one relationships under most circumstances, it is a bad idea in some cases. For example, if an entity contains a large number of one-to-one and many-to-one relationships, eagerly loading all of them would result in a large number of JOINs chained together. Executing a relatively large number of JOINs can be just as bad as loading an (N1 + N2 + + Nx) result set. If this proves to be a performance problem, some of the relationships should be loaded lazily. Here s an example of explicitly specifying the fetch mode for a relationship (it happens to be the familiar Seller property of the Item entity):

You could not control the amount of memory the instance was going to use, as you had no real control over the number of simultaneous sorts/hashes taking place It was far too easy to use more real memory (actual physical free memory) than was available on the machine Enter automatic PGA memory management Here, you first simply set up and size the SGA The SGA is a fixed-size piece of memory, so you can very accurately see how big it is, and that will be its total size (until and if you change that) You then tell Oracle, This is how much memory you should try to limit yourself across all work areas a new umbrella term for the sorting and hashing areas you use.

@ManyToOne(fetch=FetchType.LAZY) public Seller getSeller() { return seller; }

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