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ch15
ch15

... transaction may not be serializable – it may find some records inserted by a transaction but not find others.  Read committed — only committed records can be read, but ...
File
File

... Is characterized by a large number of short online transactions (INSERT, UPDATE, DELETE). The main emphasis for OLTP systems is put on very fast query processing, maintaining database in multi-access environments and an effectiveness measured by number of transactions per second. ...
Distributed Database Management System
Distributed Database Management System

... Mixed method uses both approaches. Fragments must not violate the following properties: . completeness: each information in a relation must be contained at least in a fragment; . correctness: the entire information must be obtained by summing all fragments. The distributed database design is based o ...
Database Intrusion Detection with Automated Recovery
Database Intrusion Detection with Automated Recovery

... In addition to the medium level of security, even the recovery can be automated. Recovery Phase  In automated recovery rollback the database to the state just before the intrusion.  Create a transaction dependency graph beginning from the malicious transaction.  Use this graph to redo all the ben ...
Chapter 17: Parallel Databases
Chapter 17: Parallel Databases

... • Division of relation r into fragments r1, r2, …, rn which contain sufficient information to reconstruct relation r. • Horizontal fragmentation: each tuple of r is assigned to one or more fragments • Vertical fragmentation: the schema for relation r is split into several smaller schemas – All schem ...
Transaction Time - UCLA Computer Science
Transaction Time - UCLA Computer Science

... Set of tuples: Generally used for transaction time, to timestamp a set of tuples inserted or modified by a transaction. ...
Realisation of Active Multidatabases by Extending Standard
Realisation of Active Multidatabases by Extending Standard

... displayed, modified and written back. The GTM is the vital modul for proper and secure integration of the autonomous local database systems (LDBS). Applications can transmit global queries to the GTM, which distributes them to the appropiate LDBSs, organizes the results and returns those to the appl ...
(4) RDBMS: Relational Data Base Management System
(4) RDBMS: Relational Data Base Management System

... 4. Creation of forms for the case study assigned. 5. Creation of reports based on different queries 6. Creation password and security features of applications 7. Usage of locking table locking, facilities in applications NOTE: (i) Use Case Studies such as Library Information System, Pay roll system, ...
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Introduction to Persistent Storage, Concurrency Control and
Introduction to Persistent Storage, Concurrency Control and

... Note: Aborts can be transaction generated or imposed by the Database System. ABORT wipes out all transaction effects (on the database or users) Causes? System failure in the middle of a transaction, The Database System discovers it has returned an incorrect value to the transaction. Execution of a t ...
Detecting Intrusions in Databases
Detecting Intrusions in Databases

... intrusions with the feedback mechanism. There is no damage containment or recovery. This allows user to formulate a proper security perimeter with all possible transactions listed in the user access graph while also been aware of the security. 2. Medium In the medium level we provide the low level o ...
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OODB

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Orphaned MSDTC transactions (-2 spids).
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... only option was to restart SQL Server to clear those locks. Spids with a value of -2 are orphaned distributed transactions. What’s an orphaned distributed transaction? In a nutshell, it’s a distributed transaction for which the transactional state is unknown. A distributed transaction is a database ...
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Transaction Processing and Management in Distributed Database
Transaction Processing and Management in Distributed Database

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Recovery - Dr Gordon Russell
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... with ‘COMMIT’ apply the data part of the log to the database. 4. If a log entry for a transaction ends with anything other than COMMIT, do nothing for that transaction. 5. flush the data to the disk, and then truncate the log to zero. 6. the process or reapplying transaction from the log is sometime ...
Transactions
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... If the user is informed about the commit he/she can be sure that all changes performed by T are installed in the DB.  A transaction might abort (or be aborted by the DBMS) after executing some actions. In this case the DBMS undoes all modifications so far. After the abort the DB state is as if the ...
Transactions
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... copy only after the transaction reaches partial commit and all updated pages have been flushed to disk.  in case transaction fails, old consistent copy pointed to by db_pointer can be used, and the shadow copy can be deleted. ...
Chap.10
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... If a transaction Ti is aborted, all its actions have to be undone. Not only that, if Tj reads an object last written by Ti, Tj must be aborted as well!  Most systems avoid such cascading aborts by releasing a transaction’s locks only at commit time. ...
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...  Must provide the following transparencies : – Transaction transparency? – Distribution transparency? – Failure transparency? – Performance transparency? – Heterogeneity transparency? ...
CSc-340 10a
CSc-340 10a

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Overview of Transaction Management
Overview of Transaction Management

... Each transaction must leave the database in a consistent state if the DB is consistent when the transaction begins. • DBMS will enforce some ICs, depending on the ICs declared in ...
CUSTOMER_CODE SMUDE DIVISION_CODE SMUDE
CUSTOMER_CODE SMUDE DIVISION_CODE SMUDE

... Describe the transaction processing concepts. A transaction is an atomic unit comprising one or more SQL statements. A transaction begins with the first executable statement and ends when it is committed or rolled back. Single user versus multiuser systems – A DBMS is used if at most one user can us ...
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Commitment ordering

Commitment ordering (CO) is a class of interoperable serializability techniques in concurrency control of databases, transaction processing, and related applications. It allows optimistic (non-blocking) implementations. With the proliferation of multi-core processors, CO has been also increasingly utilized in concurrent programming, transactional memory, and especially in software transactional memory (STM) for achieving serializability optimistically. CO is also the name of the resulting transaction schedule (history) property, which was originally defined in 1988 with the name dynamic atomicity. In a CO compliant schedule the chronological order of commitment events of transactions is compatible with the precedence order of the respective transactions. CO is a broad special case of conflict serializability, and effective means (reliable, high-performance, distributed, and scalable) to achieve global serializability (modular serializability) across any collection of database systems that possibly use different concurrency control mechanisms (CO also makes each system serializability compliant, if not already).Each not-CO-compliant database system is augmented with a CO component (the commitment order coordinator—COCO) which orders the commitment events for CO compliance, with neither data-access nor any other transaction operation interference. As such CO provides a low overhead, general solution for global serializability (and distributed serializability), instrumental for global concurrency control (and distributed concurrency control) of multi database systems and other transactional objects, possibly highly distributed (e.g., within cloud computing, grid computing, and networks of smartphones). An atomic commitment protocol (ACP; of any type) is a fundamental part of the solution, utilized to break global cycles in the conflict (precedence, serializability) graph. CO is the most general property (a necessary condition) that guarantees global serializability, if the database systems involved do not share concurrency control information beyond atomic commitment protocol (unmodified) messages, and have no knowledge whether transactions are global or local (the database systems are autonomous). Thus CO (with its variants) is the only general technique that does not require the typically costly distribution of local concurrency control information (e.g., local precedence relations, locks, timestamps, or tickets). It generalizes the popular strong strict two-phase locking (SS2PL) property, which in conjunction with the two-phase commit protocol (2PC) is the de facto standard to achieve global serializability across (SS2PL based) database systems. As a result CO compliant database systems (with any, different concurrency control types) can transparently join such SS2PL based solutions for global serializability.In addition, locking based global deadlocks are resolved automatically in a CO based multi-database environment, an important side-benefit (including the special case of a completely SS2PL based environment; a previously unnoticed fact for SS2PL).Furthermore, strict commitment ordering (SCO; Raz 1991c), the intersection of Strictness and CO, provides better performance (shorter average transaction completion time and resulting better transaction throughput) than SS2PL whenever read-write conflicts are present (identical blocking behavior for write-read and write-write conflicts; comparable locking overhead). The advantage of SCO is especially significant during lock contention. Strictness allows both SS2PL and SCO to use the same effective database recovery mechanisms.Two major generalizing variants of CO exist, extended CO (ECO; Raz 1993a) and multi-version CO (MVCO; Raz 1993b). They as well provide global serializability without local concurrency control information distribution, can be combined with any relevant concurrency control, and allow optimistic (non-blocking) implementations. Both use additional information for relaxing CO constraints and achieving better concurrency and performance. Vote ordering (VO or Generalized CO (GCO); Raz 2009) is a container schedule set (property) and technique for CO and all its variants. Local VO is a necessary condition for guaranteeing global serializability, if the atomic commitment protocol (ACP) participants do not share concurrency control information (have the generalized autonomy property). CO and its variants inter-operate transparently, guaranteeing global serializability and automatic global deadlock resolution also together in a mixed, heterogeneous environment with different variants.
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