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To solve this problem, we must be able not only to bring servants into memory on demand but also to evict them if memory runs out or servants have been idle for some time In that way, we can place an upper bound on the number of instantiated servants and therefore on the memory consumption of the server We could use a servant locator instead of a servant activator and thereby avoid having the POA keep an Active Object Map However, using a servant locator requires that we either create and destroy a servant for each request a practice that is inefficient or that we maintain our own pool of servants and reuse one for each new request Maintaining such a pool is essentially just another way to keep an upper bound on the number of servants in memory at any point in time The Evictor pattern describes a general strategy for limiting memory consumption The basic idea is that we use a servant manager to instantiate servants on demand However, instead of blindly instantiating a new servant every time it is called, the servant manager checks the number of instantiated servants If the number of servants reaches a specified limit, the servant manager evicts an instantiated servant and then instantiates a servant for the current request 1261 Basic Eviction Strategy One of the more interesting issues of the Evictor pattern is how to choose which servant to evict There are many possible strategies, such as least recently used (LRU), least frequently used (LFU), evicting the servant with the highest memory consumption, or using a weighted function that chooses a servant for eviction based on a combination of factors Usually, a simple LRU algorithm is effective and incurs low run-time overhead, so we show an LRU eviction implementation Note that you can use the Evictor pattern either with a servant locator or with a servant activator We first show how to implement it using a servant locator and then discuss the changes required to use it with a servant activator Recall from Section 1173 that a servant locator implies the NON_RETAIN policy With this policy, the POA does not maintain an Active Object Map Instead, the POA invokes the preinvoke and postinvoke operations on the servant locator on every request The job of preinvoke is to return a pointer to the servant that should handle the request, whereas postinvoke has the job of cleaning up after the operation completes In our implementation, preinvoke does all the work and postinvoke is empty We need two data structures to support our Evictor pattern The first data structure is an STL map that maps object IDs to C++ servant pointers and acts as our own active object map[1] An STL map provides O(log n) performance on insert and erase operations, and that is sufficient for our purposes A truly high-performance implementation of our active object map would probably use a hash table (See [39] for how to implement a hash table that works as a drop-in replacement for an STL map).
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27 Sep 2014 ... But later I needed to convert this DocX into printable formats, PDF , HTML ...
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Try adding your PDF assembly and the MS Interop assemblies to the SafeControls collection.
To distinguish our private object map from that of a RETAIN POA, we refer to our active object map using lowercase words and the POA's Active Object Map using capitalized words
that we have the WSP file we can use stsadmexe to install the solution on the SharePoint server The command to add the solution to the SharePoint solution store would look like this:
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Open Visual Studio 2010 . Go to File => New => Project.
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This article describes the following steps to show how to call the Word Automation Services to convert a document:
Open Visual Studio 2010 . Go to File => New => Project.
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raises a user exception that is not in the raises expression for the operation or if an operation throws a (non-CORBA) C++ exception, the ORB must translate it into the UNKNOWN system exception However, not all ORB implementations are diligent in this respect (If the ORB fails to intercept and translate such an exception to UNKNOWN, the unexpected function will be called in standard C++ environments) To be safe, it is best to handle system exceptions and "impossible" C++ exceptions together in a generic catch handler that simply rethrows the exception:
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CCS::Thermostat_var ts = ; CCS::TempType new_temp = ; try { ts->set_nominal(new_temp); } catch (const CCS::BadTemp &) { // New temp out of range } catch (const CORBA::UserException &) { // Some other user exception cerr << "User exception" << endl; } catch (const CORBA::OBJECT_NOT_EXIST &) { // Thermostat has been destroyed } catch () { // Other system exceptions or non-CORBA exceptions // are an SEP (somebody else's problem) throw; }
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This command just adds the solution to the SharePoint solution store The solution store is a centralized collection of all SharePoint solutions for the server farm A second command is required to make the features in the solution usable this command actually puts the necessary files from the solution into the respective folders We can say that the deploysolution command below is similar to the installfeature command we used to install a single feature and copy all the files to the hive The command that does all this looks like this:
Typically, you will not handle exceptions in this much detail for every call It is easier to handle one or two specific exceptions that are of interest and to install default exception handlers higher up in the call hierarchy A common technique is to enclose all of main in a try block with a generic catch handler This technique allows you to at least detect an uncaught exception and to terminate with an error message instead of simply having your program abort A generic catch handler also has the advantage that it can deal with new system exceptions The list of system exceptions is open-ended and occasionally is extended to accommodate new features of CORBA If your code has a generic catch handler for system exceptions, you can at least report a generic CORBA error instead of a completely unknown error Note that the preceding code catches exceptions by reference to const This is preferable to catching exceptions by value Catching exceptions by reference is more efficient than catching them by value because it allows the compiler to avoid creating a temporary If you catch a base exception by value and then rethrow the exception, you will slice off the derived part of the exception if its actual (dynamic) type is derived from the base type
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You cannot catch Exception, SystemException, and UserException by value because they are abstract base classes Also note that servers never throw exceptions by pointer, so catching them by reference or by value is the only available option 7151 Mapping for System Exceptions System exceptions are mapped as follows:
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