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Batch processing is execution of a series of programs ("jobs") on a computer without manual intervention. Batch jobs are set up so they can be run to completion without manual intervention, so all input data is preselected through scripts or command-line parameters. This is in contrast to "online" or interactive programs which prompt the user for such input. A program takes a set of data files as input, process the data, and produces a set of output data files. This operating environment is termed as "batch processing" because the input data are collected into batches on files and are processed in batches by the program.
[edit] BenefitsBatch processing has these benefits:
[edit] HistoryBatch processing has been associated with mainframe computers since the earliest days of electronic computing in the 1950s. Because such computers were enormously costly, batch processing was the only economically-viable option of their use. In those days, interactive sessions with either text-based computer terminal interfaces or graphical user interfaces were not widespread. Initially, computers were not even capable of having multiple programs loaded into the main memory. Batch processing has grown beyond its mainframe origins, and is now frequently used in UNIX environments and Microsoft Windows too. UNIX systems use shells and other scripting languages. DOS systems use batch files powered by COMMAND.COM, Microsoft Windows has cmd.exe, Windows Script Host and advanced Windows PowerShell. [edit] Modern SystemsDespite their long history, batch applications are still critical in most organizations. While online systems are now used when manual intervention is not desired, they are not well suited to the high-volume, repetitive tasks. Therefore, even new systems usually contain a batch application for cases such as updating information at the end of the day, generating reports, and printing documents. Modern batch applications make use of modern batch frameworks such as Spring Batch, which is written for Java, to provide the fault tolerance and scalability required for high-volume processing. In order to ensure high-speed processing, batch applications are often integrated with grid computing solutions to partition a batch job over a large number of processors. [edit] Common batch processing usage[edit] Data processingA typical batch processing procedure is End of day-reporting (EOD), especially on mainframes. Historically systems were designed to have a batch window where online subsystems were turned off and system capacity was used to run jobs common to all data (accounts, users or customers) on a system. In a bank, for example, EOD jobs include interest calculation, generation of reports and data sets to other systems, print (statements) and payment processing. [edit] PrintingA popular computerized batch processing procedure is printing. This normally involves the operator selecting the documents they need printed and indicating to the batch printing software when, where they should be output and priority of the print job. Then the job is sent to the print queue from where printing daemon sends them to the printer. [edit] DatabasesBatch processing is also used for efficient bulk database updates and automated transaction processing, as contrasted to interactive online transaction processing (OLTP) applications. [edit] ImagesBatch processing is often used to perform various operations with digital images. There exist computer programs that let one resize, convert, watermark, or otherwise edit image files. [edit] ConvertingBatch processing is also used for converting a number of computer files from one format to another. This is to make files portable and versatile especially for proprietary and legacy files where viewers are not easy to come by. [edit] Job schedulingUNIX utilizes cron and at facilities to allow for scheduling of complex job scripts. Windows has a job scheduler. Most high-performance computing clusters use batch processing to maximize cluster usage. [edit] See also
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