Installation tool of big database system

Abstract

The present invention discloses an installation tool of a big database system. The installation tool comprises an installation panel of the big database system; all option name label controls required to be set by the big database system, a text box control for allowing a user to enter parameter values of the big database system, a text box control, a combo box control, a list box control, a check box control and a radio button control which are used for allowing the user to select the parameter values of the big database system, and a command button control for operating installation program of the big database system are distributed on the installation panel; and the parameter values of each option of the big database system are associated with the installation program. According to the installation tool, all options and parameters can be completely set before the big database system is installed, most options and parameters can be set only through a mouse, the probability of keyboard input is largely decreased, the possibility that the options and parameters are incorrectly set is largely decreased, and setting efficiency is improved.

Description

technical field [0001] The invention relates to a database system installation tool, in particular to a large database system installation tool. Background technique [0002] With the development of computer technology, the stand-alone version of the database system came into being and has been continuously developed and improved. However, with the development of the Internet, mobile Internet, and the Internet of Things, we have ushered in an era of massive data, and the analysis of these massive data has become a very important and urgent need. The traditional stand-alone database system can no longer meet the massive big data management requirements in the Internet era, and its storage capacity, access speed, and query speed are all severely limited. A pythonweb-based Apache large database system provides a distributed, scalable, large-capacity, high-speed access, and high-speed query database platform for massive big data in the Internet age. Users can develop distribut...

AI Technical Summary

Problems solved by technology

The operating system needs to be configured before starting the cluster, and the steps are cumbersome, which is not conducive to maintenance

[0016] 1) The existing open source deployment software architecture is complex, and each component must be installed independently by typing in the command line input options. The installation of the deployment tool itself cannot be automated, so that users cannot quickly and unattended the installation of the big data platform

[0017] 2) The configuration file management is scattered and needs to be filled in manually

Each component of the big data platform has 2 to 3 configuration files that need to be configured, and the management complexity of the configuration files increases with the increase of components in the big data platform

[0018] 3) The big data platform uses xml as a standard configuration file. When the user manually rewrites the configuration, it is easy to cause a file format error, which will cause the process to fail to read the file and cause an error to start.

[0019] 4) There is no graphical interface, users need to learn to use linuxshell programming to complete the deployment work

[0020] 5) The traditional shell deployment script executes all commands in the installation process sequentially. When a command fails to execute, it cannot exit immediately and report an error, which is not conducive to timely exposure of faults, prolongs the time consumed by the installation process, and reduces installation efficiency.

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