ASP.NET Web PDF Document Viewer/Editor Control Library

lock with a timeout, they will never give up their shared server (you could, of course, have an administrator kill their session via a dedicated server to release this logjam). For these reasons, shared server is only appropriate for an OLTP system characterized by short, frequent transactions. In an OLTP system, transactions are executed in milliseconds; nothing ever takes more than a fraction of a second. Shared server is highly inappropriate for a data warehouse. Here, you might execute a query that takes one, two, five, or more minutes. Under shared server, this would be deadly. If you have a system that is 90 percent OLTP and 10 percent not quite OLTP, then you can mix and match dedicated servers and shared server on the same instance. In this fashion, you can reduce the number of server processes on the machine dramatically for the OLTP users, and make it so that the not quite OLTP users do not monopolize their shared servers. In addition, the DBA can use the built-in Resource Manager to further control resource utilization. Of course, a big reason to use shared server is when you have no choice. Many advanced connection features require the use of shared server. If you want to use Oracle Net connection pooling, you must use shared server. If you want to use database link concentration between databases, then you must use shared server for those connections.

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let tup2U p1 p2 (st: instate) = let a = p1 st let b = p2 st (a, b) let tup3U p1 p2 p3 (st: instate) = let a = p1 st let b = p2 st let c = p3 st (a, b, c) and for lists: // Outputs a list into the given output stream by pickling each element via f. let rec listP f lst st = match lst with | [] -> byteP 0uy st | h :: t -> byteP 1uy st; f h st; listP f t st

Note If you are already using a connection pooling feature in your application (e.g., you are using the

J2EE connection pool), and you have sized your connection pool appropriately, using shared server will only be a performance inhibitor. You already sized your connection pool to cater for the number of concurrent connections that you will get at any point in time; you want each of those connections to be a direct dedicated server connection. Otherwise, you just have a connection pooling feature connecting to yet another connection pooling feature.

// Reads a list from a given input stream by unpickling each element via f. let listU f st = let rec ulist_aux acc = let tag = byteU st match tag with | 0uy -> List.rev acc | 1uy -> let a = f st in ulist_aux (a::acc) | n -> failwithf "listU: found number %d" n ulist_aux [] These functions conform to the types: val val val val val val tup2P tup3P listP tup2U tup3U listU : : : : : : 'a 'a 'a 'a 'a 'a pickler -> 'b pickler -> ('a * 'b) pickler pickler -> 'b pickler -> 'c pickler -> ('a * 'b * 'c) pickler pickler -> 'a list pickler unpickler -> 'b unpickler -> ('a * 'b) unpickler unpickler -> 'b unpickler -> 'c unpickler -> ('a* 'b* 'c) unpickler unpickler -> 'a list unpickler

What are the benefits of shared server, bearing in mind that you have to be somewhat careful about the transaction types you let use it Shared server does three things: it reduces the number of operating system processes/threads, it artificially limits the degree of concurrency, and it reduces the memory needed on the system. Let s discuss these points in more detail.

On a system with thousands of users, the operating system may quickly become overwhelmed in trying to manage thousands of processes. In a typical system, only a fraction of the thousands of users are concurrently active at any point in time. For example, I ve worked on systems with 5,000 concurrent users. At any one point in time, at most 50 were active. This system would work effectively with 50 shared server processes, reducing the number of processes the operating system has to manage by two orders of magnitude (100 times). The operating system can now, to a large degree, avoid context switching.