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 -
Ian Cameron, Mitren Sukhram
This book delves into the intricate processes involved in blast furnace ironmaking, emphasizing the analysis, control, and optimization of operations.
Deepak Malhotra
This work discusses the essential components of a rigorous auditing process aimed at enhancing metallurgical plant performance. The objective is to id
Robert A. Francis
This document serves as a comprehensive introduction to the metallurgy of steel and its alloys, focusing on various aspects of iron and steel manufact
Hao Cui, Corby G Anderson
This study provides an up-to-date review of recycling of printed circuit boards (PCBs), specifically in hydrometallurgical treatment. Waste printed ci
Santhana Krishnan, Nor Syahidah Zulkapli
Fast industrialization has increased the demand for heavy metals, while high-grade ore natural reserves are diminishing. Therefore, alternative source
C.N. Mpinga, J.J. Eksteen
Platinum Group Metals (PGMs), often with associated gold, have very few occurrences where they are present in an ore deposit at economically extractab