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Big data statistical method and system used for big data statistics

A technology of statistical system and statistical method, applied in the field of big data processing, can solve problems such as fast response time

Inactive Publication Date: 2015-09-30
NUBIA TECHNOLOGY CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The advantage of this method is that the response time of statistical analysis is fast, but the disadvantage is also obvious. The archived data is processed offline, and the results obtained by querying statistical analysis on this basis are not current real and accurate data.

Method used

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  • Big data statistical method and system used for big data statistics
  • Big data statistical method and system used for big data statistics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0026] see figure 1 , figure 1 It is a schematic flow chart of a big data statistical method of the present invention.

[0027] A big data statistics method, including: timing statistics and dynamic idle time statistics, the timing statistics and the dynamic idle time statistics are executed synchronously.

[0028] The present invention combines dynamic idle time statistics with timing statistics, and the mechanism of double insurance provides a stable and reliable data basis for fast and accurate statistical analysis of massive data.

[0029] Further, the dynamic idle time statistics include:

[0030] The middleware system judges whether the current database is in an idle state, and if so, sends the information of calling the idle time statistics interface to the big data statistics system;

[0031] The big data statistics system receives the information of calling the idle time statistics interface, and judges whether the current idle time statistics interface can be lega...

Embodiment 2

[0038] join figure 2 , figure 2 It is a flowchart of a preferred embodiment of dynamic idle time statistics in a big data statistics method of the present invention.

[0039] A dynamic idle time statistical method includes:

[0040] S101. Dynamically preset a trigger time interval and a trigger threshold.

[0041] In step S101, the trigger time interval and trigger threshold can be dynamically preset directly on the middleware system; or, the trigger time interval and trigger threshold can be dynamically preset on the big data statistics system, and the dynamically preset trigger time interval and trigger thresholds are sent to the middleware system.

[0042] There are many ways to dynamically preset the trigger time interval and trigger threshold on the big data statistics system. As an example, the trigger time interval and trigger threshold are dynamically preset on the control page of the big data statistics system, and the big data statistics system will The dynamic...

Embodiment 3

[0054] A system for big data statistics, comprising a middleware system and a big data statistics system, the big data statistics system performs timing statistics, the middleware system and the big data statistics system jointly perform dynamic idle time statistics, the The timing statistics and the dynamic idle time statistics are executed synchronously.

[0055] The big data statistics system performs both timing statistics and dynamic idle time statistics, and the timing statistics and the dynamic idle time statistics are executed synchronously; therefore, the big data statistics system has two simultaneous threads, which are used to perform timing statistics and dynamic idle time statistics respectively. Perform dynamic idle time statistics.

[0056] Use below image 3 Let me describe in detail the process of the middleware system and the big data statistics system jointly performing dynamic idle time statistics. It should be noted that at the same time, the big data sta...

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Abstract

The invention relates to the technical field of big data processing, in particular to a big data statistical method and a system used for big data statistics. The method comprises the steps of timing statistics and dynamic idle time statistics. The timing statistics and the dynamic idle time statistics are executed at the same time. According to the method, the timing statistics and the dynamic idle time statistics are combined, statistics is carried out on archived data during dynamic idle time, the needed statistic data can be obtained fast and accurately when statistic analysis is carried out on the mass data, when statistic faults occur during the dynamic idle time, statistics is carried out on the archived data in a timing mode so that the statistic foundation can be provided for carrying out statistic analysis on the mass data, and it is ensured that the needed statistic data can be obtained fast.

Description

technical field [0001] The invention relates to the technical field of big data processing, in particular to a big data statistics method and a system for big data statistics. Background technique [0002] Entering 2012, the term big data (big data) is mentioned more and more, and people use it to describe and define the massive data generated in the era of information explosion. As of 2012, the amount of data has jumped from TB (1024GB=1TB) level to PB (1024TB=1PB), EB (1024PB=1EB) and even ZB (1024EB=1ZB) level. According to the research results of the International Data Corporation (IDC), the amount of data generated globally in 2008 was 0.49ZB, the amount of data in 2009 was 0.8ZB, the amount of data in 2010 increased to 1.2ZB, and the amount of data in 2011 was as high as 1.82ZB, which is quite Each person in the world generates more than 200GB of data. [0003] Statistical analysis of massive data is a very time-consuming task, especially when faced with ZB-level dat...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/24565G06F16/2462
Inventor 邹炜
Owner NUBIA TECHNOLOGY CO LTD
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