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Repeatability analyzing method and device

An analysis method and repetitive technology, applied in the field of data processing, can solve problems such as waste of resources, and achieve the effect of improving utilization, high accuracy, and high repeatability of analysis

Inactive Publication Date: 2016-09-07
LETV HLDG BEIJING CO LTD +1
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  • Description
  • Claims
  • Application Information

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[0006] Embodiments of the present invention provide a repeatability analysis method and device, which are used to solve th

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  • Repeatability analyzing method and device

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Abstract

The embodiment of the invention provides a repeatability analyzing method and device. The method comprises following steps of splitting a first SQL (Structured Query Language) and a second SQL according to preset keywords, thus obtaining a first set corresponding to the first SQL and a second set corresponding to the second SQL; splitting the value of each element in the first set and the second set, thus obtaining a first parse tree corresponding to the first set and a second parse tree corresponding to the second set; and judging that the first SQL and the second SQL have repeatability when it is judged that the elements in the first set are all contained in the second set and the elements in the second set are all contained in the first set according to the first parse tree and the second parse tree. High efficiency repeatability analysis is realized, and the utilization rate of distributed resources is improved.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of data processing, and in particular to a repeatability analysis method and device. Background technique [0002] Hive is a data warehouse tool based on Hadoop, which can map structured data files into a database table, and provides simple SQL (Structured Query Language) query function, which can convert SQL statements into MapReduce tasks for execution. Hive has a low learning cost and can quickly implement simple MapReduce statistics through SQL-like statements without developing a dedicated MapReduce application. It is very suitable for statistical analysis of data warehouses. [0003] In the big data cloud computing system, tens of thousands of hive tasks are run every day, and some of these tasks are repetitive, that is, tasks with exactly the same function. Repeated tasks can cause a lot of waste of resources, so it is necessary to find out which tasks are repeated. [0004...

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Application Information

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IPC IPC(8): G06F17/30G06F17/27
CPCG06F16/2433G06F40/211
Inventor 侯志贞
Owner LETV HLDG BEIJING CO LTD