.net excel to pdf

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ops$tkyte@ORA10GR1> delete from t where a = 2 ; 1 row deleted. ops$tkyte@ORA10GR1> insert into t (a) values ( 4); 1 row created. ops$tkyte@ORA10GR1> select a from t; A ---------1 4 3 Adjust columns B and C to be appropriate for your blocksize if you would like to reproduce this. For example, if you have a 2KB blocksize, you do not need column C, and column B should be a VARCHAR2(1500) with a default of 1,500 asterisks. Since data is managed in a heap in a table like this, as space becomes available, it will be reused.

Before we examine the rest of the processes, let s discuss why there are three main connection modes and when one might be more appropriate than the other.

Capturing after(int n) returning(long result) return value : topLevelFactorialOperation(n) { _factorialCache.put(new Integer(n), new Long(result)); }

Note When using ASSM or MSSM, you ll find rows end up in different places. The underlying space

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As noted previously, in dedicated server mode there is a one-to-one mapping between client connection and server process. This is by far the most common method of connection to the Oracle database for all SQL-based applications. It is the simplest to set up and provides the easiest way to establish connections. It requires little to no configuration. Since there is a one-to-one mapping, you do not have to be concerned that a long-running transaction will block other transactions. Those other transactions will simply proceed via their own dedicated processes. Therefore, it is the only mode you should consider using in a non-OLTP environment where you may have long-running transactions. Dedicated server is the recommended configuration for Oracle, and it scales rather nicely. As long as your server has sufficient hardware (CPU and RAM) to service the number of dedicated server processes your system needs, dedicated server may be used for thousands of concurrent connections. Certain operations must be done in a dedicated server mode, such as database startup and shutdown, so every database will have either both or just a dedicated server set up.

management routines are very different, and the same operations executed against a table in ASSM and MSSM may well result in different physical order. The data will logically be the same, but it will be stored in different ways.

The factorialOperation() pointcut captures all calls to the factorial() method. It also collects the argument to the method. The topLevelFactorialOperation() pointcut captures all nonrecursive calls to the factorial() method. It captures the context available in any factorialOperation() pointcut it uses. See figure 3.5 for a graphical representation of capturing context using named pointcuts. The before advice logs the nonrecursive factorial() method invocation. In the log message, it uses the collected context. The around advice to any factorial() method invocation also uses the context. It declares that it will return a long matching the return type of the advised join point. The around advice passes the captured context to proceed(). Recall that the number and type of arguments to proceed() must match the advice itself. The after returning advice collects the return value by specifying its type and identifier in the returning() part. It then uses the return value as well as the context collected from the join point to update the cache. When we compile and run the code, we get the following output:

Shared server setup and configuration, while not difficult, involves an extra step beyond dedicated server setup The main difference between the two is not, however, in their setup; it is in their mode of operation With dedicated server, there is a one-to-one mapping between client connections and server processes With shared server, there is a many-to-one relationship: many clients to a shared server As its name implies, shared server is a shared resource, whereas a dedicated server is not When using a shared resource, you must be careful to not monopolize it for long periods of time As you saw previously, use of a simple DBMS_LOCKSLEEP(20) in one session would monopolize a shared server process for 20 seconds Monopolization of these shared server resources can lead to a system that appears to hang Figure 5-2 depicts two shared servers.

If I have three clients and all of them attempt to run a 45second process more or less at the same time, two of them will get their response in 45 seconds and the third will get its response in 90 seconds This is rule number one for shared server: make sure your transactions are short in duration They can be frequent, but they should be short (as characterized by OLTP systems) If they are not short, you will get what appears to be a total system slowdown due to shared resources being monopolized by a few processes In extreme cases, if all of the shared servers are busy, the system will appear to hang for all users except the lucky few who are monopolizing the shared servers Another interesting situation that you may observe when using shared server is that of an artificial deadlock.

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