Batch processing

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Batch processing is execution of a series of programs ("jobs") on a computer without human interaction.

Batch jobs are set up so they can be run to completion without human interaction, 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.

Contents 1 Benefits 2 History 3 Modern Systems 4 Common batch processing usage 4.1 Printing 4.2 Databases 4.3 Images 4.4 Converting 5 Job scheduling 6 See also

[edit] Benefits

Batch processing has these benefits:

• It allows sharing of computer resources among many users and programs,
• It shifts the time of job processing to when the computing resources are less busy,
• It avoids idling the computing resources with minute-by-minute human interaction and supervision,
• By keeping high overall rate of utilization, it better amortizes the cost of a computer, especially an expensive one.

[edit] History

Batch processing has been associated with mainframe computers since the earliest days of electronic computing in 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 uses shells and other scripting languages. DOS systems uses batch files powered by COMMAND.COM, Microsoft Windows has cmd.exe, Windows Script Host and advanced Windows PowerShell.

[edit] Modern Systems

Despite their long history, batch applications are still critical in most organizations. While online systems are now used when human interaction is required, 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] Printing

A 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] Databases

Batch processing is also used for efficient bulk database updates and automated transaction processing, as contrasted to interactive online transaction processing (OLTP) applications.

[edit] Images

Batch processing is often used to perform various operations with digital images. There exist computer programs like Batch Image Processor that let one resize, convert, watermark, or otherwise edit image files.

[edit] Converting

Batch 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 scheduling

UNIX 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

• Batch-queuing system for schedulers that plan the execution of batch jobs
• Job Processing Cycle for detailed description of batch processing in the mainframe field
• BatchPipes for utility that increases batch performance