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CarbonData在网络安全日志分析场景下的性能评估

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本文针对企业网络安全日志分析场景,采用实际网络安全日志数据,设计建表和测试方法,使用大数据引擎Spark SQL和Presto对索引行列混合式数据格式CarbonData进行了性能评估.通过测试得出,基于Spark SQL+CarbonData方案的数据查询和统计效率较高,能满足多种数据处理和分析要求,适用于网络安全日志分析应用.本文为企业网络安全日志分析方案的技术选型和设计提供参考.
Evaluation of the Performance of CarbonData in the Network Security Log Analysis Scenario
This article focuses on the analysis scenario of enterprise network security logs,using actual network security log data,designing table building and testing methods,and using big data engines Spark SQL and Presto to evaluate the performance of the indexed columnar data format CarbonData.Through test-ing,it has been found that the data query and statistical efficiency based on Spark SQL+CarbonData scheme is high,which can meet various data processing and analysis requirements and is suitable for network securi-ty log analysis applications.This article provides a reference for the technical selection and design of enter-prise network security log analysis solutions.

CarbonDataSpark SQLperformance evaluationsecurity log analysis

黄必栋

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南京铁道职业技术学院智能工程学院,江苏南京

CarbonData Spark SQL 性能评估 安全日志分析

2024

科学技术创新
黑龙江省科普事业中心

科学技术创新

影响因子:0.842
ISSN:1673-1328
年,卷(期):2024.(5)
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