Storage Retrieval

Download Database Replication (Synthesis Lectures on Data Management) by Bettina Kemme, Ricardo Jiménez Peris, Marta Patiño-Martínez, PDF

By Bettina Kemme, Ricardo Jiménez Peris, Marta Patiño-Martínez, M. Tamer Özsu

Database replication is everyday for fault-tolerance, scalability and function. The failure of 1 database copy doesn't cease the procedure from operating as on hand replicas can take over the projects of the failed reproduction. Scalability might be accomplished by way of dispensing the burden throughout all replicas, and including new replicas may still the burden elevate. eventually, database replication grants speedy neighborhood entry, whether consumers are geographically allotted consumers, if facts copies can be found on the subject of consumers. regardless of its benefits, replication isn't a simple strategy to follow, and there are numerous hurdles to beat. on the leading edge is reproduction keep an eye on: assuring that info copies stay constant whilst updates happen. There exist many choices in regard to the place updates can ensue and whilst adjustments are propagated to information copies, how adjustments are utilized, the place the replication device is found, and so forth. a specific problem is to mix copy regulate with transaction administration because it calls for a number of operations to be handled as a unmarried logical unit, and it presents atomicity, consistency, isolation and sturdiness around the replicated procedure. The publication presents a categorization of reproduction keep an eye on mechanisms, offers numerous copy and concurrency keep watch over mechanisms intimately, and discusses the various concerns that come up while such ideas must be carried out inside of or on best of relational database structures. desk of Contents: evaluation / 1-Copy-Equivalence and Consistency / uncomplicated Protocols / Replication structure / The Scalability of Replication / keen Replication and 1-Copy-Serializability / 1-Copy-Snapshot Isolation / Lazy Replication / Self-Configuration and Elasticity / different facets of Replication

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Extra info for Database Replication (Synthesis Lectures on Data Management)

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Transaction T2 is a read-only transaction reading y. T1 is submitted to R A and T2 to R B . All operations are executed locally. After T1 has executed all operations locally, it commits locally. Later R A sends the set of all its write operations in FIFO order to R B . At R B , T2 has already a shared lock on y when T1 ’s updates arrive. Thus, when T1 requests exclusive locks on x and y it is blocked on y. When T2 commits, T1 has all the locks, finishes execution, and commits. 3 LAZY VS. EAGER PROPERTIES The advantages of lazy propagation.

Remote replicas, upon receiving these write operations, acquire all necessary locks (lines 1112). In the primary copy approach, the writes are then executed (lines 13-15). Using update anywhere, things are more complicated. Update transactions can now execute concurrently at different replicas and update the same data items. Such conflicts need to be detected and resolved (lines 17-20). We will discuss this soon. Finally, the remote transaction is committed and the locks released (lines 21-22).

6, assume that x has initially a value of 0, T1 s write sets it to 1 and T2 ’s write to 2. In this case, R B detects a conflict when it receives T1 ’s write operation, as its own value for x is 2, while the before-image in T1 ’s message is 0. Once a conflict is detected, it has to be resolved. The goal is that the different replicas agree on the same final value for their data copies. One among many possibilities is to use timestamps. Each replica timestamps its copy of a data item x with the local time when a write operation on x occurs, and these timestamps are piggybacked when the update is propagated.

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