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Chapter 7: Relational Database Design
Chapter 7: Relational Database Design

... leading to better transaction throughput  one transaction can be using the CPU while another is reading from or writing to the disk  reduced average response time for transactions  short transactions need not wait behind long ones ...
ppt
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...  The persistent message system must make sure the messages get delivered eventually if and only if the transaction commits.  The message system needs to resend a message when the site recovers, if the message is not known to have reached its destination.  Messages must be logged in stable storage ...
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... medication and sends the prescription through their ePrescribe vendor. ...
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...  Firm deadline - The task has zero value if it completed after the deadline.  Soft deadline - The task has diminishing value if it is completed after the deadline.  The wide variance of execution times for read and write operations on disks complicates the transaction management problem for timec ...
ppt
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...  The persistent message system must make sure the messages get delivered eventually if and only if the transaction commits.  The message system needs to resend a message when the site recovers, if the message is not known to have reached its destination.  Messages must be logged in stable storage ...
CC2
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... repeating a read should return the same value (so read locks should be retained)  However, the phantom phenomenon need not be prevented – T1 may see some records inserted by T2, but may not see others inserted by T2  Read committed: same as degree two consistency, but most systems implement it as ...
Keywords: Database, Deadlock, Distributed
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... In order to access the data stored at remote location with less message passing cost, data should be distributed accordingly. Distribution of data is done through Fragmentation or Replication. Fragmentation consists of breaking a relation into small relations or fragments and storing the fragments, ...
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... An adapted reference model for networked communication. TvS 2.6 ...
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... The course aims at introducing the basic concepts of database design and manipulations. It is not an overstatement that the market value of an IT professional grows significantly with the expertise in databases, particularly the understanding of database design and SQL programming. This is because a ...
Information Integration - San Jose State University
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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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