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Welcome [mll.csie.ntu.edu.tw]
Welcome [mll.csie.ntu.edu.tw]

... • Suppose that you want to build an university database. It must store the following information: – Entities: Students, Professors, Classes, Classrooms – Relationships: Who teaches what? Who teaches where? Who teaches whom? ...
การเขียนโปรแกรมและการประ
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...  The Database Management System (DBMS) is software provided by the database vendor.  Software products Microsoft Access, Oracle, Microsoft SQL Server, Sybase, DB2, INGRES. The DBMS provides all the basic services required to organize and maintain the database, including the following: ...
transaction - Dalhousie University
transaction - Dalhousie University

... Write a transaction start record when the transaction starts When a write operation occurs, store the before-image and after-image in the log file Once the log file is written, write the changes to the database buffers Updates to the database are written when the database buffers are flushed to the ...
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... – When some system components fail (hard drive, network, etc.), database can be restored to a good state. ...
Database Administration Presentation
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... The Oracle server provides discretionary access control, which is a means of restricting access to information based on privileges. ...
Mom, I so wish Hibernate for my NoSQL database
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... ● Java Persistence (JPA) support for NoSQL solutions ● JP-QL queries are converted in native backend queries ● Hibernate Search as indexing engine and use full-text queries ● You can call flush(), commit() and demarcate transactions ● It supports only MongoDB, Neo4j, Infinispan, Ehcache ...
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... – Students cannot change their course grades. ...
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... Close to zero maintenance. Create database in seconds. Code near data. Guaranteed predictable performance. Easily scalable. Lower price. Built-in HA, backup and restore ...
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... replaced with a prior, consistent version of the database before forward recovery can begin. – After-images are applied to a past version of the database. Does not require that all transactions are applied - just takes the most recent after-images. ...
Chapter 15
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... 1. For each data item Q, if transaction Ti reads the initial value of Q in schedule S, then transaction Ti must, in schedule S´, also read the initial value of Q. 2. For each data item Q if transaction Ti executes read(Q) in schedule S, and that value was produced by transaction Tj (if any), then tr ...
Database Modeling and Implementation
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... Brief description of the content of the course (Catalog Description) - This is an advanced course that covers the design of distributed databases, data modeling, normalization rules, query languages, layout and design of forms, transaction management, and implementation of the database design. Exten ...
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... databases into their software products. Major vendors such as Siebel and PeopleSoft build applications around the database. SAP uses a database as a central repository for ERP data. Drugstore.com has a database that grows at the rate of 20 million rows per day. Extraction, summaries, and consolidati ...
Welcome [mll.csie.ntu.edu.tw]
Welcome [mll.csie.ntu.edu.tw]

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... Sequences that indicate the chronological order in which instructions of concurrent transactions are executed: a schedule for a set of transactions must consist of all instructions of those transactions  must preserve the order in which the instructions appear in each individual transaction. ...
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... by DBMS while isolation (the “I” property) is not controlled. Transactions, which execute operations in parallel however, would have correct behavior only if they do not access shared data at the same time (case 1 and 2). If they share some data, like in cases 3 and 4 (the same credit amount) isolat ...
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... In the world of data warehouses utilities, great emphasis is placed on the contrasts between one vendor’s performance benchmark and another’s performance benchmark. But, benchmarks no longer tell the whole story. Recovery became among the very important characteristics of any product. Everybody know ...
Transactions and Concurrency Control
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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.  If Ti writes an object, Tj can read this only aft ...
AL-ISRA UNIVERSITY Faculty of Administrative and Financial
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... PC database (e.g., microsoft access® for the PC) 10. Be able to create databases and pose complex SQL queries of relational databases. 11. Develop an appreciation for several DBMS's (ACCESS, SQL Server and ORACLE) 12. Be familiar with a broad range of data management issues including data integrity ...
EI010 606 L02 Database Managemnet System
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... SUPPLIER CUSTOMER SUPPLIER partitioned on SUPPKEY, CUSTOMER on CUSTKEY. Join required on *_NATION. Repartition both tables on *_NATION to localise and minimise the join effort ...
Introduction to Database Systems
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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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