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transaction - Dalhousie University
... REDO writes the after-images in the transaction log to the database in the order in which they appear in the log Any transaction with a start transaction and no commit transaction entry in the log must be undone by writing the before images of to the database in the reverse order in which they were ...
... REDO writes the after-images in the transaction log to the database in the order in which they appear in the log Any transaction with a start transaction and no commit transaction entry in the log must be undone by writing the before images of to the database in the reverse order in which they were ...
IOSR Journal of Computer Engineering (IOSR-JCE)
... Abstract: The use of databases has for long been for the computer elites in the society as well as multinationals that can pay for their services, and these has inhibited the scope and wide use of database applications. The aim of this paper is to develop yet another flexible query interface for rel ...
... Abstract: The use of databases has for long been for the computer elites in the society as well as multinationals that can pay for their services, and these has inhibited the scope and wide use of database applications. The aim of this paper is to develop yet another flexible query interface for rel ...
Large Object Support in POSTGRES
... This paper presents four implementations for support of large objects in POSTGRES. The four implementations offer varying levels of support for security, transactions, compression, and time travel. All are implemented using the POSTGRES abstract data type paradigm, support userdefined operators and ...
... This paper presents four implementations for support of large objects in POSTGRES. The four implementations offer varying levels of support for security, transactions, compression, and time travel. All are implemented using the POSTGRES abstract data type paradigm, support userdefined operators and ...
Answering the Call of Virtualization for Databases
... table that logs all the activity generated by its customers. This means that there are multiple rows in this table for each customer. Now, if a customer updates her address, you may need to update many rows in this table if she had several transactions attributable to her in the given time frame for ...
... table that logs all the activity generated by its customers. This means that there are multiple rows in this table for each customer. Now, if a customer updates her address, you may need to update many rows in this table if she had several transactions attributable to her in the given time frame for ...
transaction
... • time stamps: concurrency control is done on the affected object, and hence is a very nice strategy in distributed systems and in the case of few conflicts • optimistic methods: efficient if there are few conflicts, also preferable if there are real time requirements – optimistic locking is widely ...
... • time stamps: concurrency control is done on the affected object, and hence is a very nice strategy in distributed systems and in the case of few conflicts • optimistic methods: efficient if there are few conflicts, also preferable if there are real time requirements – optimistic locking is widely ...
CH02
... If PRIMARY KEY is used, then attributes in S are not allowed to have NULL as a value for their components. (See Fig. 2.9, Fig. 2.10, and Fig. 2.11) ...
... If PRIMARY KEY is used, then attributes in S are not allowed to have NULL as a value for their components. (See Fig. 2.9, Fig. 2.10, and Fig. 2.11) ...
document
... – getColumnCount(): gets the number of columns in the ResultSet – getColumnName(int col): gets the name of column – int getColumnType(int col): gets the JDBC type (java.sql.Types) for the value stored in col; eg. Value 12 = JDBC VARCHAR, etc. – getPrecision(int col): for numbers, gets the mantissa l ...
... – getColumnCount(): gets the number of columns in the ResultSet – getColumnName(int col): gets the name of column – int getColumnType(int col): gets the JDBC type (java.sql.Types) for the value stored in col; eg. Value 12 = JDBC VARCHAR, etc. – getPrecision(int col): for numbers, gets the mantissa l ...
ERP (enterprise resource planning)
... Client/server describes the relationship between two computer programs in which one program, the client, makes a service request from another program, the server, which fulfills the request. Although the client/server idea can be used by programs within a single computer, it is a more important idea ...
... Client/server describes the relationship between two computer programs in which one program, the client, makes a service request from another program, the server, which fulfills the request. Although the client/server idea can be used by programs within a single computer, it is a more important idea ...
Recommended Solutions for SCR745
... This option will provide a fully clustered and fault tolerant solution; opportunity to consolidate the current 18 production proxy servers including the servers identified in Option 2 This option virtually eliminates the potential for NAESB proxy outages, unplanned or planned. This option will provi ...
... This option will provide a fully clustered and fault tolerant solution; opportunity to consolidate the current 18 production proxy servers including the servers identified in Option 2 This option virtually eliminates the potential for NAESB proxy outages, unplanned or planned. This option will provi ...
An approach to successful online transaction processing applications
... process, the Synapse system guarantees that no committed data is lost due to a system failure. 2 ,3 It is important that· the application restart point and committed updates to the database be synchronized; otherwise, following a system recovery, an already committed update may be incorrectly reappl ...
... process, the Synapse system guarantees that no committed data is lost due to a system failure. 2 ,3 It is important that· the application restart point and committed updates to the database be synchronized; otherwise, following a system recovery, an already committed update may be incorrectly reappl ...
PDF - This Chapter
... This appendix contains the files that you will need to create a Java program that uses Java Database Connectivity (JDBC) to connect to an SQL database, creates and executes an SQL statement, and then retrieves the results. The sample files are described in Table A-1. Table A-1 ...
... This appendix contains the files that you will need to create a Java program that uses Java Database Connectivity (JDBC) to connect to an SQL database, creates and executes an SQL statement, and then retrieves the results. The sample files are described in Table A-1. Table A-1 ...
File - Ghulam Hassan
... Field: Group of characters Record: Group of related fields File: Group of records of same type Database: Group of related files ...
... Field: Group of characters Record: Group of related fields File: Group of records of same type Database: Group of related files ...
1411_Lecture3
... and LastName from each Employee object. You can select portions of matching objects by specifying the properties to select in a comma-separated list. Only the selected instance can be accessed when iterating over the query results. When you select a portion of an object’s instance, the compiler crea ...
... and LastName from each Employee object. You can select portions of matching objects by specifying the properties to select in a comma-separated list. Only the selected instance can be accessed when iterating over the query results. When you select a portion of an object’s instance, the compiler crea ...
Access Control on XML Data
... querying and updating xml data. In Proceedings of the Nineteenth Australasian Database Conference (ADC), volume 75 of CRPIT, pages 7583. Australian Computer ...
... querying and updating xml data. In Proceedings of the Nineteenth Australasian Database Conference (ADC), volume 75 of CRPIT, pages 7583. Australian Computer ...
Remote Batch Invocation for SQL Databases
... (OR) mapping, where a relational database is described by a package of Java classes with annotations to specify tables, attributes, and relationships. Batch2SQL mapping is a simplified version of the mappings used in the Java Persistence Architecture (JPA) [18]. Figure 1 gives the classes that descr ...
... (OR) mapping, where a relational database is described by a package of Java classes with annotations to specify tables, attributes, and relationships. Batch2SQL mapping is a simplified version of the mappings used in the Java Persistence Architecture (JPA) [18]. Figure 1 gives the classes that descr ...
Main challenges in XML/Relational mapping
... We can alter the database schema by adding an extra column to table mapped from addressbook element to support the the new information – This solution can’t be however applied if we don’t know the relation between person and summercottage is 1:1. We might get documents containing persons that have m ...
... We can alter the database schema by adding an extra column to table mapped from addressbook element to support the the new information – This solution can’t be however applied if we don’t know the relation between person and summercottage is 1:1. We might get documents containing persons that have m ...
Chapter 14 - Emunix Documentation on the Web
... Deadlock is prevented by allowing, at most, one lock statement to be open at a time Dirty reads are possible if some applications roll back their own work and do not surround their activity with table locks Copyright © 2004 Database Processing: Fundamentals, Design, and Implementation, 9/e by Da ...
... Deadlock is prevented by allowing, at most, one lock statement to be open at a time Dirty reads are possible if some applications roll back their own work and do not surround their activity with table locks Copyright © 2004 Database Processing: Fundamentals, Design, and Implementation, 9/e by Da ...
ResultSet - Jaeki Song
... • Structured Query Language (SQL, "sequel") – Queries relational databases – Can write Java programs to use SQL queries JAVA ...
... • Structured Query Language (SQL, "sequel") – Queries relational databases – Can write Java programs to use SQL queries JAVA ...
API Exposure for Integration
... integration using web services API exposure. Virtuoso provides a unified interface for external RDBMS connections, and a mechanism to inspect the stored procedures that make up the lion-share of capital LOB functions. Virtually all contemporary applications, custom and ready-made, sit atop a popular ...
... integration using web services API exposure. Virtuoso provides a unified interface for external RDBMS connections, and a mechanism to inspect the stored procedures that make up the lion-share of capital LOB functions. Virtually all contemporary applications, custom and ready-made, sit atop a popular ...
Using ISAM-based Programs with SQL Databases
... Server using Magic’s gateways for each of these databases. Although Magic developers are able to choose a specific database to develop and deploy with, supporting multiple databases poses a special challenge, especially for ISVs who want to support multiple databases in their market segment. To supp ...
... Server using Magic’s gateways for each of these databases. Although Magic developers are able to choose a specific database to develop and deploy with, supporting multiple databases poses a special challenge, especially for ISVs who want to support multiple databases in their market segment. To supp ...
Physical Database Design
... Database Management Systems, 2nd Edition. R. Ramakrishnan and J. Gehrke ...
... Database Management Systems, 2nd Edition. R. Ramakrishnan and J. Gehrke ...
Slide Template - Emunix Documentation on the Web
... DBMS into COM objects, making it easier for vendors to implement portions of functionality – This characteristic overcomes a major disadvantage of ODBC – With ODBC, a vendor must create an ODBC driver for almost all DBMS features and functions in order to participate in ODBC at all Copyright © 2004 ...
... DBMS into COM objects, making it easier for vendors to implement portions of functionality – This characteristic overcomes a major disadvantage of ODBC – With ODBC, a vendor must create an ODBC driver for almost all DBMS features and functions in order to participate in ODBC at all Copyright © 2004 ...
Storing XML Documents in Databases
... edit-scripts for propagating changes of source data to the warehouse, and, second, the deletion and insertion of complete versions of documents which may have become stale or need to be added to the warehouse. The concept of edit scripts to update hierarchically structured data is both intuitive and ...
... edit-scripts for propagating changes of source data to the warehouse, and, second, the deletion and insertion of complete versions of documents which may have become stale or need to be added to the warehouse. The concept of edit scripts to update hierarchically structured data is both intuitive and ...
hoffer_mdm10e_pp_ch14-overview
... Chapter 14 © 2011 Pearson Education, Inc. Publishing as Prentice Hall ...
... Chapter 14 © 2011 Pearson Education, Inc. Publishing as Prentice Hall ...
Versant Object Database
![](https://commons.wikimedia.org/wiki/Special:FilePath/Versant_logo_2007.png?width=300)
Versant Object Database (VOD) is an object database software product developed by Versant Corporation.The Versant Object Database enables developers using object oriented languages to transactionally store their information by allowing the respective language to act as the Data Definition Language (DDL) for the database. In other words, the memory model is the database schema model.In general, persistence in VOD in implemented by declaring a list of classes, then providing a transaction demarcation application programming interface to use cases. Respective language integrations adhere to the constructs of that language, including syntactic and directive sugars.Additional APIs exist, beyond simple transaction demarcation, providing for the more advanced capabilities necessary to address practical issues found when dealing with performance optimization and scalability for systems with large amounts of data, many concurrent users, network latency, disk bottlenecks, etc.