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DATA MODEL SELECTION AND APPLICATION BASED ON DATA SOURCES

机译:基于数据源的数据模型选择与应用

摘要

Embodiments include generating data models that may give semantic meaning for unstructured or structured data that may include data generated and/or received by search engines, including a time series engine. A method includes generating a data model for data stored in a repository. Generating the data model includes generating an initial query string, executing the initial query string on the data, generating an initial result set based on the initial query string being executed on the data, determining one or more candidate fields from one or results of the initial result set, generating a candidate data model based on the one or more candidate fields, iteratively modifying the candidate data model until the candidate data model models the data, and using the candidate data model as the data model.
机译:实施例包括生成可以为非结构化或结构化数据提供语义含义的数据模型,该结构化或结构化数据可以包括由搜索引擎(包括时间序列引擎)生成和/或接收的数据。一种方法包括为存储在存储库中的数据生成数据模型。生成数据模型包括生成初始查询字符串,对数据执行初始查询字符串,基于对数据执行的初始查询字符串生成初始结果集,从一个或多个初始字段中确定一个或多个候选字段结果集,基于一个或多个候选字段生成候选数据模型,迭代地修改候选数据模型,直到候选数据模型对数据建模为止,并使用候选数据模型作为数据模型。

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