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Rating 6.6/10 stars (264) · Free · Windows As we discussed in 5, both centralized and distributed database environments (DBEs) can utilize locks to enforce concurrency control. To access a data item, a transaction must put the right type of lock on it a read lock to read the item or a write lock to modify the item. Suppose we have a transaction called T1. If T1 wants to lock some particular data item, but that item is already locked by some other transaction such as T2, then T1 must wait for T2 to release the lock before it can proceed. When any transaction waits for another transaction, there is always a potential for a deadlock. In this chapter, we will rst introduce what a deadlock is and then discuss alternatives for dealing with deadlocks. Deadlock handling alternatives are outlined for centralized systems rst. Then we will continue our discussion to include deadlock handling alternatives in a distributed system. In a centralized system, the issues with atomicity were related to the transaction s abort, concurrency control issues such as deadlocks, system failures, and disk failures The collection of local systems that form a distributed system use a communication network for their interconnection In addition to having to deal with issues that a local server handles in committing a local transaction, in a distributed system we must be able to deal with a local server s system crash, disk failures, and also with communication link failures Network partitioning, especially, is very dif cult to deal with in supporting the distributed commit protocols To understand why distributed commit protocols are necessary, we should use an example Let us assume that a distributed system consists of two servers. pdf merger software free download offline PDFsam: Split and merge PDF files. Free and open source
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