Aleksandar Velinov, Zoran Zdravev
In this paper we consider an analysis of Apache web logs using Cloudera Hadoop distribution and Hive for querying the data in the web logs. We used publicly available web logs from NASA Kennedy Space Center server. HDFS (Hadoop distributed file system) was used as a logs container. The apache web logs were copied to the HDFS from the local file system. We made an analysis for the total number of hits, unique IPs, the most common hosts that made requests to the NASA server in Florida, and the most common types of errors. We also examined the ratio between the number of rows in the logs and the time of execution.
@article{c6cc1649-9f9d-4a57-85e2-adaf4e9be498,
title={Analysis of Apache Logs Using Hadoop and Hive},
author={Aleksandar Velinov and Zoran Zdravev},
year={2018},
language={en}
}TY - JOUR TI - Analysis of Apache Logs Using Hadoop and Hive AU - Aleksandar Velinov AU - Zoran Zdravev PY - 2018 LA - en ER -
Deepak Malhotra
This work discusses the essential components of a rigorous auditing process aimed at enhancing metallurgical plant performance. The objective is to id
Tattwamasi Paltasingh, Jayadev Satapathy
Coal mining and its unfavourable consequences have generated global attention. It has further stimulated the paradoxical debate of development and des
Unknown, Unknown
This chapter discusses metal casting processes, highlighting the diversity and common characteristics among them. The objective is to elucidate the fu
Rajesh Jha, Bimal Kumar Jha
This book describes the application of artificial intelligence (AI) and machine learning (ML) concepts to develop predictive models that can be used t
The Australasian Institute of Mining and Metallurgy
This conference, held in Perth, Western Australia, focuses on the latest advancements in metallurgical processing plant design and operational strateg
David Pollard, Geoff Dunlop
The MetPlant 2008 conference focused on advancements in metallurgical processing of ores, emphasizing plant design, operation strategies, and innovati