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Concurrent access to the database by multiple users introduces several problems. Some of the most important problems potentially encountered in concurrent transaction processing are dirty reads, phantom reads, lost updates, and nonrepeatable reads.

1. Open the Garden.fla file. 2. When the file opens, if it isn t already open, open the Library by selecting Window Library



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A dirty read occurs when a transaction reads data that has been updated by an ongoing transaction but has not been committed permanently to the database. For example, say transaction A has just updated the value of a column, and it is now read by transaction B. What if transaction A rolls back its changes, whether intentionally or because it aborts for some reason The value of the updated column will also be rolled back as a result. Unfortunately, transaction B has already read the new value of the column, which is now incorrect because of the rolling back of transaction A.

or pressing Ctrl+L (Windows) or Cmd+L (Mac). As you can see in Figure 1-40, you are starting with a background image and a few movie clips.





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The problem described in this section could be avoided by imposing a simple rule: Don t let any transaction read the intermediate results of another transaction before the other transaction is either committed or rolled back. This way, the reads are guaranteed to be consistent.

Say you re reading data from a table (using a SELECT statement). You re-execute your query after some time elapses, and in the meantime, some other user has inserted new data into the table. Because your second query will come up with extra rows that weren t in the first read, they re referred to as phantom reads, and the problem is termed a phantom read. Phantom-read problems are caused by the appearance of new data in between two database operations in a transaction.

In the previous exercise, you used the wizard to connect an FLV to the FLVPlayback component. In this exercise, you ll be doing the process manually. Once you are comfortable with it, you will discover this method to be a lot quicker than the previous one. Follow these steps:

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5. The getchar() function is a standard C library function like gets(), but it only reads one character of user input at a time.

The lost-update problem is caused by transactions trying to read data while it is being updated by other transactions. Say transaction A is reading a table s data while it is being updated by transaction

Although secondary storage (usually magnetic disks) is significantly larger than main memory, it s also significantly slower. A disk I/O involves either moving a data block from disk to memory (a disk read) or writing a data block to disk from memory (a disk write). Typically, it takes about 10 40 milliseconds (0.01 0.04 seconds) to perform a single disk I/O. Suppose your update transaction involves 25 I/Os you could spend up to 1 second just waiting to read or write data. In that same second, your CPUs could have performed millions of instructions the update takes a negligible amount of time compared to the disk reads and disk writes. If you already have the necessary data in Oracle s memory, the retrieval time would be much faster, as memory read/writes take only a few nanoseconds. This is why avoiding or minimizing disk I/Os plays such a big role in providing high performance in Oracle databases.

the FLVPlayback component onto the stage, as shown in Figure 10-19.

All computers use memory, which actually consists of a hierarchy of different levels of memory. The heart of this hierarchy is main memory, which contains all the instruction executions and data manipulations. All main memories are random access memory (RAM), which means that you can read any byte in memory in the same amount of time. Typically, you can access main memory data in the 10 100 nanosecond range. An important part of the information Oracle stores in the RAM allocated to it is the program code that is executing currently or that has been executed recently. If a new user process needs to use the same code, it s available in memory in a compiled form, making the processing time a whole lot

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