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Another approach to minimizing the effect of skew, particularly with range partitioning, is to use virtual processors In the virtual processor approach, we pretend there are several times as many virtual processors as the number of real processors Any of the partitioning techniques and query evaluation techniques that we study later in this chapter can be used, but they map tuples and work to virtual processors instead of to real processors Virtual processors, in turn, are mapped to real processors, usually by round-robin partitioning The idea is that even if one range had many more tuples than the others because of skew, these tuples would get split across multiple virtual processor ranges Round robin allocation of virtual processors to real processors would distribute the extra work among multiple real processors, so that one processor does not have to bear all the burden

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1 A load has a voltage V = 20 0 and current I = 2 20 Find the impedance and determine a series circuit that will model the load Is the circuit inductive or capacitive Assume that = 100 rad/s

In interquery parallelism, different queries or transactions execute in parallel with one another Transaction throughput can be increased by this form of parallelism However, the response times of individual transactions are no faster than they would be if the transactions were run in isolation Thus, the primary use of interquery parallelism is to scaleup a transaction-processing system to support a larger number of transactions per second Interquery parallelism is the easiest form of parallelism to support in a database system particularly in a shared-memory parallel system Database systems designed for single-processor systems can be used with few or no changes on a shared-memory parallel architecture, since even sequential database systems support concurrent processing Transactions that would have operated in a time-shared concurrent manner on a sequential machine operate in parallel in the shared-memory parallel architecture Supporting interquery parallelism is more complicated in a shared-disk or sharednothing architecture Processors have to perform some tasks, such as locking and logging, in a coordinated fashion, and that requires that they pass messages to each other A parallel database system must also ensure that two processors do not update the same data independently at the same time Further, when a processor accesses or updates data, the database system must ensure that the processor has the latest version of the data in its buffer pool The problem of ensuring that the version is the latest is known as the cache-coherency problem Various protocols are available to guarantee cache coherency; often, cache-coherency protocols are integrated with concurrency-control protocols so that their overhead is reduced One such protocol for a shared-disk system is this: 1 Before any read or write access to a page, a transaction locks the page in shared or exclusive mode, as appropriate Immediately after the transaction obtains either a shared or exclusive lock on a page, it also reads the most recent copy of the page from the shared disk 2 Before a transaction releases an exclusive lock on a page, it ushes the page to the shared disk; then, it releases the lock.

The McGraw Hill Companies, 2001

Notice that the tabs along the top of this dialog box roughly conform to the choices in the Make Movie section The RealVideo and Windows Media output options fall under the Stream setting, and the Share setting creates a video file for uploading to the Web

This protocol ensures that, when a transaction sets a shared or exclusive lock on a page, it gets the correct copy of the page More complex protocols avoid the repeated reading and writing to disk required by the preceding protocol Such protocols do not write pages to disk when exclusive locks are released When a shared or exclusive lock is obtained, if the most recent version of a page is in the buffer pool of some processor, the page is obtained from there The protocols have to be designed to handle concurrent requests The shareddisk protocols can be extended to shared-nothing architectures by this scheme: Each page has a home processor Pi , and is stored on disk Di When other processors want to read or write the page, they send requests to the home processor Pi of the page, since they cannot directly communicate with the disk The other actions are the same as in the shared-disk protocols The Oracle 8 and Oracle Rdb systems are examples of shared-disk parallel database systems that support interquery parallelism

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