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Authentication
Authentication

... transactions that run concurrently and generate results that are consistent with the results that would have occurred if they had run separately  Two-phased locking is one of the techniques used to achieve serializability ...
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... DDBMS: - no performance degradation due to distributed architecture. - determine most cost-effective strategy to execute a request. Distributed Query Processor (DQP) maps data request into ordered sequence of operations on local databases. - Must consider fragmentation, replication, and allocation s ...
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... Intuitively, the effect of a set of transactions should be the same as if they ran independently. ...
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... Internet Movie Database: http://sqlzoo.net/3.htm ...
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userhome.brooklyn.cuny.edu
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... – Entire diskpage (or page) is locked • Page is the equivalent of a diskblock - a directly addressable section of disk (e.g., 4K, 8K or 16K) • If you want to write 73 bytes to a 4K page, the entire page must be read from disk, updated in memory and written back to disk – A table can span multiple pa ...
Database Lock SOP - Global Health Data Management
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... f) Permission to lock the database will be agreed by Study Statistician, Data Manager and Clinical Project Manager and the insert trial title Database Lock Approval Form completed. g) If identification of significant errors should occur after database lock but prior to final analysis and publication ...
Databases for Robotics Applications
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PENGANTAR MANAJEMEN BASIS DATA
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... relatively slow, it is important to keep the cpu humming by working on several user programs concurrently. •  Interleaving actions of different user programs can lead to inconsistency: e.g., check is cleared while account balance is being computed. •  DBMS ensures such problems don’t arise: users ca ...
Dynamic Inference Control
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... bottleneck through which all queries must pass. Similarly, the survivability benefit of distribution is not lost. The potential single point of failure represented by a centralized Rational Downgrader is avoided. The compartmentalization provided by a distributed scheme is preserved. Databases can p ...
Comdb2 Bloomberg`s Highly Available Relational Database System
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... In an OCC system, transactions are executed concurrently without having to wait for each other to access the rows. Read operations, in particular, will have no restrictions as they cannot compromise the integrity of the data. Write operations will operate on temporary copies of rows. Since persistin ...
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... Question: Conflict Serializablity is good, but could we know whether a schedule is conflict serializable? Testing based on precedence graph ...
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T - VUB STAR lab

... hence no waits. Instead there are rollbacks.  In order to ensure such behavior, the protocol maintains for each data item Q two timestamp values:  W-timestamp(Q) is the latest (youngest, largest) time-stamp of any transaction that executed write(Q) successfully.  R-timestamp(Q) is the latest time ...
Physical Design
Physical Design

... relation by specifying a primary or clustering index.  In this case, choose the attribute for ordering or clustering the tuples as: – attribute that is used most often for join operations - this makes join operation more efficient, or – attribute that is used most often to access the tuples in a re ...
database management systems
database management systems

... can be used: • alone, or • combined / related to other data to provide answers to the user’s question. N. Fenmen - CAA292 Database Applications for Business - 2003 - 2004 Spring ...
Theme: Database Transactions in theory and in practice
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... distribution) and the COTS software can choose to use the distributed transaction management facility of the DBMS product by bracketing the business transaction with transaction begin and commit. The assumption clearly is that the databases are now aware of each other and function as one distributed ...
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... Java Certified Associate – Oracle University , United States Oracle SQL Expert – Oracle University , United States OCA PL/SQL Developer – Oracle University OCA DBA – Oracle University , United States OCP Oracle Developer – Oracle University, United States PHP & HTML Developer – W3Schools, US Assista ...
Database Systems
Database Systems

... Relational DBMS A DBMS in which the data items and the relationships among them are organized into tables Tables A collection of records Records (object, entity) A collection of related fields that make up a single database entry Fields (attributes) A single value in a database record ...
The Java Crypto API
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... What is Metadata Data about the structure of the database What tables are in the database? How many columns are in a table? What columns are in the tables? What are the data types of the columns? ...
Database management system
Database management system

... Relational DBMS A DBMS in which the data items and the relationships among them are organized into tables Tables A collection of records Records (object, entity) A collection of related fields that make up a single database entry Fields (attributes) A single value in a database record ...
MCS21416 - File Storage
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... – times during the day/week when there will be a high demand made on the database (called the peak load). ...
Introduction to Database Systems
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... All log related activities (and in fact, all CC related activities such as lock/unlock, dealing with deadlocks etc.) are handled transparently by the DBMS. ...
Document
Document

... • Results of a transaction’s execution are either all committed or all rolled back—all changes take effect, or none do • The database is transformed from one valid state to another valid state • This defines a transaction as legal only if it obeys user-defined integrity constraints—illegal transacti ...
Replikacja_en
Replikacja_en

... their size may be evaluated experimentally due to the efficiency of the system. The encapsulation and sending of transaction take place on a record level, which means that after modification of 100 records of replicated table, a master node will receive 100 messages of record changing. The transacti ...
I Hate Your Database
I Hate Your Database

... Can only fetch objects by key Batch/map-reduce queries Transactions not possible ...
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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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