• Study Resource
  • Explore
    • Arts & Humanities
    • Business
    • Engineering & Technology
    • Foreign Language
    • History
    • Math
    • Science
    • Social Science

    Top subcategories

    • Advanced Math
    • Algebra
    • Basic Math
    • Calculus
    • Geometry
    • Linear Algebra
    • Pre-Algebra
    • Pre-Calculus
    • Statistics And Probability
    • Trigonometry
    • other →

    Top subcategories

    • Astronomy
    • Astrophysics
    • Biology
    • Chemistry
    • Earth Science
    • Environmental Science
    • Health Science
    • Physics
    • other →

    Top subcategories

    • Anthropology
    • Law
    • Political Science
    • Psychology
    • Sociology
    • other →

    Top subcategories

    • Accounting
    • Economics
    • Finance
    • Management
    • other →

    Top subcategories

    • Aerospace Engineering
    • Bioengineering
    • Chemical Engineering
    • Civil Engineering
    • Computer Science
    • Electrical Engineering
    • Industrial Engineering
    • Mechanical Engineering
    • Web Design
    • other →

    Top subcategories

    • Architecture
    • Communications
    • English
    • Gender Studies
    • Music
    • Performing Arts
    • Philosophy
    • Religious Studies
    • Writing
    • other →

    Top subcategories

    • Ancient History
    • European History
    • US History
    • World History
    • other →

    Top subcategories

    • Croatian
    • Czech
    • Finnish
    • Greek
    • Hindi
    • Japanese
    • Korean
    • Persian
    • Swedish
    • Turkish
    • other →
 
Profile Documents Logout
Upload
A Methodology of A Database Schema Design Using
A Methodology of A Database Schema Design Using

... the real system constraints and business rules, in the different subschemas. If the collisions between the different subschemas exist, then some of the subschemas are not consistent with the potential database schema in a formal sense. Consequently, the programs made over the inconsistent subschemas ...
Migrating to Azure SQL Database Tips, Tricks and Lessons Learned
Migrating to Azure SQL Database Tips, Tricks and Lessons Learned

... permissions are not available though some are replaced by database-level permissions. Some server-level DMV's are not available though some are replaced by database-level DMVs. ...
Presented by Kaberi Nayak Senior Oracle Apps DBA
Presented by Kaberi Nayak Senior Oracle Apps DBA

... Upgrading an Oracle E-Business Suite Release 11i database server and instance from Oracle9i Release 2 (9.2.0), Oracle 10g Release 1 (10.1.0), Oracle 10g Release 2 (10.2.0), or Oracle Database 11g Release 1 (11.1.0) to Oracle Database 11g Release 2 (11.2.0) Applying the latest certified Oracle Databa ...
Theme: Production Management - Overview
Theme: Production Management - Overview

... Mayang, one of the RCIP staffs, is given the responsibility to keep and maintain the said list. This also means that she would be the point person whenever related information is needed. At about the same time, Mayang just finished the training on Microsoft Word and was impressed with the software s ...
Middleware-based Database Replication: The Gaps
Middleware-based Database Replication: The Gaps

... master without consulting the slave) with an upper-bound time window (e.g., at most all transactions committed in the past 5 minutes have been lost). These guarantees are usually considered weak, but good enough for maintaining uptime in the face of single faults. 2-safe database replication forces ...
Chapter 19: Distributed Databases
Chapter 19: Distributed Databases

... more subsystems that lack any connection between them – Note: a subsystem may consist of a single node ...
X-FTL: Transactional FTL for SQLite Databases
X-FTL: Transactional FTL for SQLite Databases

... txFlash to support atomic writes for file system journaling [20]. In addition to supporting atomicity of mult-page writes, TxFlash provides isolation among multiple atomic write calls by ensuring that no conflicting writes are issued. It relies on a new commit protocol called Simple Cyclic Commit (S ...
Assess Oracle`s Role in the Enterprise Database Strategy
Assess Oracle`s Role in the Enterprise Database Strategy

... Determine Oracle’s fit with your organization’s size & complexity Large organizations, or those with complex database requirements, will benefit most from Oracle over other database options. • An Info-Tech survey found that large organizations are more satisfied with Oracle (performance, availabili ...
The Experimental Study of CODASYL Database Administration at
The Experimental Study of CODASYL Database Administration at

... 39 and the experimental study of its performance presented in Refs 17 and 18. In this research, the performance of CODASYL database is studied by considering storage record placement strategies, the cost of query and update transactions, usage pattern, storage space and statistical variation in data ...
Proceedings
Proceedings

... The goal of this workshop was to bring software engineers and database experts together to discuss about technologies for developing tailor-made data management solutions. The workshop was a full day meeting with four paper sessions. It was introduced by a presentation of the FAME-DBMS project that ...
Database Management
Database Management

... loosely-coupled clusters of commodity hardware. ...
ADVANCED SQL AND PL/SQL TOPICS
ADVANCED SQL AND PL/SQL TOPICS

... connections, but allows current users to finish their transactions and log off normally • Transactional - instance does not accept any new connections, and allows users to finish their current transaction • Immediate - instance does not accept any new user connections, and immediately terminates cur ...
Unit 3- Database Connectivity A database is an organized collection
Unit 3- Database Connectivity A database is an organized collection

... You access the data in a ResultSet object through a cursor. Note that this cursor is not a database cursor. This cursor is a pointer that points to one row of data in the ResultSet. Initially, the cursor is positioned before the first row. The method ResultSet.next moves the cursor to the next row. ...
ONLINE-EXTRA CONTENT Optimizing Disaster Recovery Using
ONLINE-EXTRA CONTENT Optimizing Disaster Recovery Using

... On the standby database, this query shows the maximum sequence number recovered for each thread. This should match the output from the previous query. For further details, refer to “Monitoring Log Apply Services for Physical Standby Databases” in the Oracle9i Data Guard Concepts and Administration m ...
Replica Refresh Strategies in a Database Cluster
Replica Refresh Strategies in a Database Cluster

... for an incoming query, it first sends refresh transactions to that node before sending the query. Such routing-dependent refresh strategy is locally optimal since the freshness level of some nodes may get lower and lower, thus increasing the cost of refreshment. For instance, when all nodes are busy ...
relational database
relational database

... In our relational database, we broke our list into several tables. Somehow the tables must be joined back together. In a relational database, tables are joined together using the value of the data. If a PROJECT has a CUSTOMER, the Customer_ID is stored as a column in the PROJECT table. The value sto ...
Database Mirroring
Database Mirroring

... Witness Only required for automatic failover; Just another instance of SQL Server 2005 Can serve multiple sessions ...
Chapter 19: Distributed Databases
Chapter 19: Distributed Databases

... replica of r.  Disadvantages of Replication  Increased cost of updates: each replica of relation r must be updated.  Increased complexity of concurrency control: concurrent updates to distinct replicas may lead to inconsistent data unless special concurrency control mechanisms are implemented.  ...
Continuous integration for databases using Redgate tools
Continuous integration for databases using Redgate tools

... deployment therefore rely on creating upgrade scripts specifically for that purpose. The lack of database source code makes it more complicated to maintain a current stable version in source control. Creation and migration scripts can be checked into the source control repository, but despite its im ...
adbms tutorial 2 lahore leads university
adbms tutorial 2 lahore leads university

... and use AUTO_INCREMENT for the rest of records by inserting a NULL, or with a missing column value. Take note that strings must be enclosed with a pair of single quotes (or double quotes). -- Insert a row with all the column values mysql> INSERT INTO products VALUES (1001, 'PEN', 'Pen Red', 5000, 1. ...
MDBS Schema Integration: The Relational Integration Model
MDBS Schema Integration: The Relational Integration Model

...  multidatabase system (MDBS) - a collection of autonomous, local databases participating in a global database system to share data ...
Transactional Consistency and Automatic Management
Transactional Consistency and Automatic Management

... Unlike a simple hash table, our cache is versioned. In addition to its key, each entry in the cache is tagged with its validity interval, as shown in Figure 3. This interval is the range of time at which the cached value was current. Its lower bound is the commit time of the transaction that caused ...
CS 46B: Introduction to Data Structures
CS 46B: Introduction to Data Structures

... Replicated vs. Backup ...
Oracle 10g Database Administrator: Implementation and
Oracle 10g Database Administrator: Implementation and

... partial access allowed to data by other sessions • An exclusive lock completely prohibits changes to data, but still allows read access • Locking of transactions and tables (using transactional control commands or LOCK TABLE) create locking situations manually • In this chapter you examine how locks ...
Super database computers : hardware and software
Super database computers : hardware and software

... the notion and characteristics of very large databases for online storage and processing are motivated. The database computer requirements The limitations and bottlenecks of the for very large databases are given. conventional database computer (i.e., the database management system, DBMS, utilizing ...
< 1 ... 8 9 10 11 12 13 14 15 16 ... 64 >

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.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report