Simple .NET/ASP.NET PDF document editor web control SDK

BinaryWriter type instate = SystemIOBinaryReader type pickler<'a> = 'a -> outstate -> unit type unpickler<'a> = instate -> 'a Here instate and outstate are types that will record information during the pickling or parsing process In this section, these are just binary readers and writers, but more generally they can be any type that can collect information and help compact the data during the writing process, such as by ensuring that repeated strings are given unique identifiers during the pickling process At the heart of every such library lies a set of primitive leaf functions for the base cases of aggregate data structures For example, when working with binary streams, this is the usual set of primitive read/write functions: let byteP (b: byte) (st: outstate) = stWrite(b) let byteU (st: instate) = st.

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ReadByte() You can now begin to define additional pickler/unpickler pairs: let boolP b st = byteP (if b then 1uy else 0uy) st let boolU st = let b = byteU st in (b = 1uy) let int32P i st byteP (byte byteP (byte byteP (byte byteP (byte = (i &&& 0xFF)) st ((i >>> 8) &&& 0xFF)) st ((i >>> 16) &&& 0xFF)) st ((i >>> 24) &&& 0xFF)) st.

Similar facilities exist for WSDL documents, which are made available as Web Service proxies; XML Schema Definition (XSD) documents, which become exposed as strongly-typed datasets; and resources. Of course, this whole dynamic compilation model requires you to deploy your code to your production server, which not everyone is going to be thrilled about. It also does nothing to address the problem of run-time compilation causing a huge performance hit for the first request of every page in the site. These problems have not gone unchecked, though. They re addressed by precompilation (a feature so cool they made up a new word for it).

Runtime Execution Time Differences as seen by the client Run1 ran in 1317 hsecs Run2 ran in 1231 hsecs Run1 ran in 107% of the time You can see that when the session cache cursor was disabled, the program took 158% times the amount of latches consumed when it was enabled to cache 500 cursors. Assuming the query was already in the shared pool, in both cases we soft-parsed 10,000 times (this can be verified using the tkprof utility); however, when the session cursor cache was on, due to softer soft parses, the parses that got a hit in the session cursor cache were less costly, resulting in significantly less latch consumption.

st = = int (byteU st) = int (byteU st) = int (byteU st) = int (byteU st) (b1 <<< 8) ||| (b2 <<< 16) ||| (b3 <<< 24)

session_cached_cursors parameter to a high value blindly. There is a point of diminishing returns, as you may expect. You should run benchmarks based on your application and set session_cached_cursors to

Only use the attributes from the Enterprise Services assembly that you really need. Each of the features we ve looked at is configured with attributes. Each incurs some overhead. Leaving a component unconfigured for a given feature means no overhead will be incurred for leveraging that feature. Be conscious and deliberate about which of these you need. For production deployments, you should always use Regsvcs.exe to register your Serviced Components in COM+. Lazy registration is a convenient feature, but one that should only be enjoyed during development. Regsvcs.exe will automatically put your Serviced Components into the Global Assembly Cache (GAC). While this is convenient, any assemblies your Serviced Component is dependant upon will not enjoy the same convenience. This could cause a problem at runtime. For this reason, your deployment should also explicitly register your components and their dependencies in the GAC.

These functions have the following types: val val val val val val byteP byteU boolP boolU int32P int32U : : : : : : byte pickler byte unpickler bool pickler bool unpickler int pickler int unpickler