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be veri ed easily that, if the database is consistent before an execution of the transaction, the database remains consistent after the execution of the transaction Ensuring consistency for an individual transaction is the responsibility of the application programmer who codes the transaction This task may be facilitated by automatic testing of integrity constraints, as we discussed in 6 Atomicity: Suppose that, just before the execution of transaction Ti the values of accounts A and B are $1000 and $2000, respectively Now suppose that, during the execution of transaction Ti , a failure occurs that prevents Ti from completing its execution successfully Examples of such failures include power failures, hardware failures, and software errors Further, suppose that the failure happened after the write(A) operation but before the write(B) operation In this case, the values of accounts A and B re ected in the database are $950 and $2000 The system destroyed $50 as a result of this failure In particular, we note that the sum A + B is no longer preserved Thus, because of the failure, the state of the system no longer re ects a real state of the world that the database is supposed to capture We term such a state an inconsistent state We must ensure that such inconsistencies are not visible in a database system Note, however, that the system must at some point be in an inconsistent state Even if transaction Ti is executed to completion, there exists a point at which the value of account A is $950 and the value of account B is $2000, which is clearly an inconsistent state This state, however, is eventually replaced by the consistent state where the value of account A is $950, and the value of account B is $2050 Thus, if the transaction never started or was guaranteed to complete, such an inconsistent state would not be visible except during the execution of the transaction That is the reason for the atomicity requirement: If the atomicity property is present, all actions of the transaction are re ected in the database, or none are The basic idea behind ensuring atomicity is this: The database system keeps track (on disk) of the old values of any data on which a transaction performs a write, and, if the transaction does not complete its execution, the database system restores the old values to make it appear as though the transaction never executed We discuss these ideas further in Section 152 Ensuring atomicity is the responsibility of the database system itself; speci cally, it is handled by a component called the transaction-management component, which we describe in detail in 17 Durability: Once the execution of the transaction completes successfully, and the user who initiated the transaction has been noti ed that the transfer of funds has taken place, it must be the case that no system failure will result in a loss of data corresponding to this transfer of funds The durability property guarantees that, once a transaction completes successfully, all the updates that it carried out on the database persist, even if there is a system failure after the transaction completes execution. birt barcode extension BIRT Barcode Generator Plugin Tutorial | Generate & Print linear, 2D ...
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Use BIRT Barcode Generator Plugin to generate linear and 2d barcodes in BIRT reports. Free trial downloads | Complete developer guide | Detailed sample ... We assume for now that a failure of the computer system may result in loss of data in main memory, but data written to disk are never lost We can guarantee durability by ensuring that either 1 The updates carried out by the transaction have been written to disk before the transaction completes 2 Information about the updates carried out by the transaction and written to disk is suf cient to enable the database to reconstruct the updates when the database system is restarted after the failure Ensuring durability is the responsibility of a component of the database system called the recovery-management component The transaction-management component and the recovery-management component are closely related, and we describe them in 17 Isolation: Even if the consistency and atomicity properties are ensured for each transaction, if several transactions are executed concurrently, their operations may interleave in some undesirable way, resulting in an inconsistent state For example, as we saw earlier, the database is temporarily inconsistent while the transaction to transfer funds from A to B is executing, with the deducted total written to A and the increased total yet to be written to B If a second concurrently running transaction reads A and B at this intermediate point and computes A + B, it will observe an inconsistent value Furthermore, if this second transaction then performs updates on A and B based on the inconsistent values that it read, the database may be left in an inconsistent state even after both transactions have completed A way to avoid the problem of concurrently executing transactions is to execute transactions serially that is, one after the other However, concurrent execution of transactions provides signi cant performance bene ts, as we shall see in Section 154 Other solutions have therefore been developed; they allow multiple transactions to execute concurrently We discuss the problems caused by concurrently executing transactions in Section 154 The isolation property of a transaction ensures that the concurrent execution of transactions results in a system state that is equivalent to a state that could have been obtained had these transactions executed one at a time in some order We shall discuss the principles of isolation further in Section 155 Ensuring the isolation property is the responsibility of a component of the database system called the concurrency-control component, which we discuss later, in 16. birt barcode free BIRT Barcode Generator - OnBarcode
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