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Chapter 17
Chapter 17

... The Incorrect Summary Problem ...
Genesis: A Distributed Database Operating System
Genesis: A Distributed Database Operating System

... More importantly, a databasesystem is not so much itself an application, but one of the programming tools that an application uses If the mechanismsto provide transparency, reliability and good performance in a network environment are not implemented in the underlying operating sys tern, but instead ...
distributed_db_arch_replication
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... a transaction will perform slowly if it requires data from different sites, unless the network connecting them is very fast a transaction performing much replication of updates will perform slowly if there is frequent contention for resources (locking) frequently used transactions should be optimise ...
Data & Databases
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... the optimal location. A version of parallel processing. Client Server: Data (usually departmental) maintained on a server. Subsetting occurs on the server, processing on ...
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... JTS gets less press than EJB technology because the services it provides to the application are largely transparent many developers are not even aware of where transactions begin and end in their application. ...
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... fact that a process holds or may hold a latch must be observable by the cleanup server • If the target architecture provides only test-and-set or register-memory-swap as atomic instructions, then extra care must be taken to determine in the process did in fact own the latch ...
Recovery
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... • Alternative to log-based recovery • Idea: maintain two page tables during the lifetime of a trans-action the current page table, and the shadow page table • Store the shadow page table in nonvolatile storage, such that state of the database prior to transaction execution may be recovered. Shadow p ...
Natix
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... by the creation of a log record for that operation • A conventional logging approach would not only create bulky log records for every single node insertion, but would also log all of the split operations. Natix approach: • Compositing update operations as one big operation to avoid the overhead of ...
TRUNCATE TABLE
TRUNCATE TABLE

...  RECOVERY - Instructs the restore operation to rollback any uncommitted transactions - you cannot apply any more transaction logs  NORECOVERY - Instructs the restore operation to not roll back any uncommitted transactions - lets you apply more transaction logs  STAND BY - Leave database readonly ...
Concurrency Control
Concurrency Control

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Database Qualifying Exam Reading List, Fall 2007
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... systems literature, testing the students' preparedness and ability for pursuing serious research in the database area. As such, students who do not intend to pursue database-related Ph.D. topics are advised not to attempt taking this exam. The exam will be graded with the expectation that each exami ...
Syllabus - SCRIET Library
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Data Integrity
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... With careful design and engineering, SI engines can be replicated to get even higher performance with a replicated form of SI such as Generalized Snapshot Isolation (GSI) [13], which is also not serializable. The objective of this paper is to provide a concurrency control algorithm for replicated SI ...
Features of ORM
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...  Changes to the object model are made in one place. One you update your object definitions, the ORM will automatically use the updated structure for retrievals and updates. There are no SQL Update, Delete and Insert statements strewn throughout different layers of the application that need modifica ...
Database System Administration
Database System Administration

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Distributed Database System
Distributed Database System

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chap13-abbrev
chap13-abbrev

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ch1p2
ch1p2

... 2- Reduced application development time: incremental time to add each new application is reduced. 3- Flexibility to change data structures: database structure may evolve as new requirements are defined. 4- Availability of up-to-date information – very important for on-line transaction systems such a ...
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Serializability

In concurrency control of databases, transaction processing (transaction management), and various transactional applications (e.g., transactional memory and software transactional memory), both centralized and distributed, a transaction schedule is serializable if its outcome (e.g., the resulting database state) is equal to the outcome of its transactions executed serially, i.e., sequentially without overlapping in time. Transactions are normally executed concurrently (they overlap), since this is the most efficient way. Serializability is the major correctness criterion for concurrent transactions' executions. It is considered the highest level of isolation between transactions, and plays an essential role in concurrency control. As such it is supported in all general purpose database systems. Strong strict two-phase locking (SS2PL) is a popular serializability mechanism utilized in most of the database systems (in various variants) since their early days in the 1970s.Serializability theory provides the formal framework to reason about and analyze serializability and its techniques. Though it is mathematical in nature, its fundamentals are informally (without mathematics notation) introduced below.
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