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Chapter 10
Chapter 10

... • Lock guarantees unique access to a data item by transaction • Two types of locks: binary locks and shared/exclusive locks Database Systems, 8th Edition ...
Overview of Databases and Transaction Processing
Overview of Databases and Transaction Processing

... does not lose data, controlled concurrency • High Throughput: many users => many transactions/sec • Low Response Time: on-line => users are waiting ...
Transactions
Transactions

... 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. ...
File
File

... BRANCH/YEAR/SEM: CSE/II/III ...
Transaction Processing and Recovery
Transaction Processing and Recovery

... are the same as the results of running them serially —that is, one after the other. It is not important which transaction executes first, only that the result does not reflect any mixing of the transactions. Serializability is the major correctness criterion for the execution of concurrent transacti ...
ppt
ppt

...  Cascadeless schedules — cascading rollbacks cannot occur; for ...
- EdShare
- EdShare

... – Emulating with Savepoints needs 'subtransactions' to be run in strict sequence ...
LM9 PowerPoints Slides
LM9 PowerPoints Slides

... • A single logical database spread physically across computers in multiple locations that are connected by a data communications link • Decentralized Database - A collection of independent databases on non-networked computers ...
Database Systems: Design, Implementation, and Management
Database Systems: Design, Implementation, and Management

... – Still possible to use “roll back – see SQL note for more details” as a recovery mechanism. – Roll back: go back to the previous state ...
Multi-user DB lecture
Multi-user DB lecture

... two or more transactions have locked a common resource and must wait for the other to unlock that resource user 1 has a locked record and needs a lock on another record; user 2 has lock on record user 1 wants and needs lock on user 1’s record see figures 12-13, 12-14 ...
Chapter 2 Notes
Chapter 2 Notes

... Result: Database state no longer corresponds to real-world state, integrity constraint violated. ...
Document
Document

... Concurrency Control with Optimistic Methods • Optimistic approach – Based on the assumption that the majority of database operations do not conflict – Does not require locking or time stamping techniques – Transaction is executed without restrictions until it is committed – Phases are read, validat ...
Transaction Management
Transaction Management

... Keep track of all transactions that update the DB ...
View File - UET Taxila
View File - UET Taxila

... as if they had been processed one after the other. ...
Transactions
Transactions

... • Durability requirement — once the user has been notified that the transaction has completed (i.e., the transfer of the $50 has taken place), the updates to the database by the transaction must persist even if there are software or hardware failures. ...
ppt
ppt

... Result: Database state no longer corresponds to real-world state, integrity constraint violated. ...
Chapter 15
Chapter 15

...  Schedule 8 (from text) given below produces same ...
Transaction manager
Transaction manager

... (a) If two transactions only read a data item, they do not conflict and order is not important. (b) If two transactions either read or write completely separate data items, they do not conflict and order is not important. (c) If one transaction writes a data item and another reads or writes same dat ...
A Closer Look
A Closer Look

... Result: Database state no longer corresponds to real-world state, integrity constraint violated. ...
A Closer Look
A Closer Look

... • Example: course registration (cur_reg is number of current registrants) T1: r(cur_reg : 29) w(cur_reg : 30) T2: r(cur_reg : 29) w(cur_reg : 30) time  ...
Applying Database Replication to Multi
Applying Database Replication to Multi

... • Read-one / Write-All replication only scales if the percentage of reads is very high. • Future work: use partial replication (Write only a few servers) ...
Neo4j - IDEAL
Neo4j - IDEAL

... Neo4j is schema free – Data does not have to adhere to any convention ACID – atomic, consistent, isolated and durable for logical units of work Easy to get started and use Well documented and large developer ...
slides
slides

... • Transaction aborted by system – Execution cannot be made atomic (a site is down) – Execution did not maintain database consistency (integrity constraint is violated) – Execution was not isolated – Resources not available (deadlock) ...
File Systems and Databases Assessment
File Systems and Databases Assessment

... more familiar with the regular pcs and work stations rather than the main frame computers. This is why DDBMS gives the user-friendly and easy interface to users. The three disadvantages of a DDBMS are:1. Complexity of management and control – In DDBMS, transaction management, concurrency control, da ...
Neo4j
Neo4j

... • Domain objects take a node • Jo4neo framework  ...
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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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