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Block oriented processing of relational database
Block oriented processing of relational database

... sort using radix techniques that tries to take advantage of superscalar processor features and cache memory. The above papers have tended to focus on specific operations while studying techniques for performance improvement. However, there has been no effort so far towards a general purpose techniqu ...
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EFFICIENCY ISN’T ENOUGH: DATA CENTERS LEAD THE DRIVE TO INNOVATION
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... new projects thrown at us and management does not understand the need to maintain the systems that they have us put in until they crash.” (Data on how many of the “leaders” in low-cost maintenance believe this has created a risky situation is not available from this study, beyond this anecdotal stat ...
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... dataset provides two key functions that make using SQL databases in Python a breeze: • A simple abstraction layer removes most direct SQL statements without the necessity for a full ORM model essentially, databases can be used like a JSON file or NoSQL store. • Database contents can be exported (fro ...
Molecular Biology Databases: An Overview
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... In spite of the recent surge of interest in Molecular Biology databases, these databases are rather unknown outside Computational Biology and Molecular Biology. Computer scientists and database experts are rarely knowledgeable about these databases and their uses. This is regrettable because there i ...
Practical Relational Database Design
Practical Relational Database Design

... relational schema of one relation ƒ We want to define a structure for some table 1. We give it a name (we had S) 2. We chose the number of columns (we had 2) and give them distinct names (we had A and B) 3. We decide on the domains of elements in the columns (we had letters for A and integers for B) ...
Extreme Database programming with MUMPS Globals
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... Extreme Database programming with MUMPS Globals Chapter 1 Globals: An alternative to the relational view The really important heart of MUMPS is its data storage mechanism. This is based on what are known as Global Variables, more commonly known simply as Globals. Globals are an incredibly simple con ...
accessing databases with jdbc - Core Servlets and JavaServer Pages
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Access 2013 - The School District of Palm Beach County
Access 2013 - The School District of Palm Beach County

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Getting Oracle Data into SAS® Datasets
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Relationship Sets
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Physical Database Design
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... are stored in 1000 blocks (100 tuples fit into one block) using heap file organization. Additionally, an index on the age attribute (which is an integer field) has been created that takes 80 blocks of storage, and an index on gpa (which is a real number) has been created that takes 150 blocks of sto ...
Database Operations
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... and release date. County of conviction, docket number, offense and felony or misdemeanor status is provided. Search is performed by offender name or various offender identification numbers including offender number, SID number, docket number, driver’s license number and jail transport number. EFN Nu ...
The Java Database Connectivity (JDBC) API
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Connecting an ArcIMS Site to an External Database
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mumps - M/Gateway Developments Ltd.
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... Extreme Database programming with MUMPS Globals Chapter 1 Globals: An alternative to the relational view The really important heart of MUMPS is its data storage mechanism. This is based on what are known as Global Variables, more commonly known simply as Globals. Globals are an incredibly simple con ...
Database tool CPPsite: a curated database of cell
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Get Oracle 8i Running on Your Linux Server Straight Away!
Get Oracle 8i Running on Your Linux Server Straight Away!

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Concurrency control

In information technology and computer science, especially in the fields of computer programming, operating systems, multiprocessors, and databases, concurrency control ensures that correct results for concurrent operations are generated, while getting those results as quickly as possible.Computer systems, both software and hardware, consist of modules, or components. Each component is designed to operate correctly, i.e., to obey or to meet certain consistency rules. When components that operate concurrently interact by messaging or by sharing accessed data (in memory or storage), a certain component's consistency may be violated by another component. The general area of concurrency control provides rules, methods, design methodologies, and theories to maintain the consistency of components operating concurrently while interacting, and thus the consistency and correctness of the whole system. Introducing concurrency control into a system means applying operation constraints which typically result in some performance reduction. Operation consistency and correctness should be achieved with as good as possible efficiency, without reducing performance below reasonable levels. Concurrency control can require significant additional complexity and overhead in a concurrent algorithm compared to the simpler sequential algorithm.For example, a failure in concurrency control can result in data corruption from torn read or write operations.
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