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Move all files from /temp_data to /final_data, merge them into a single file final_output.txt in the local filesystem, and then copy this merged file back to the Hadoop directory /reports.Change the group of important_data.txt in /secure_data to finance, display the first 10 lines, and then the last 10 lines of this file.8.Get help information for the mv command, check its usage, and then find the checksum of a file named dataset.csv in the /data directory.Copy a file named data1.txt from /input_data to /process_data, move a file named data2.txt from /input_data to /archive_data, and then merge all files in /process_data into a single local file named merged_data.txt.

Question

Move all files from /temp_data to /final_data, merge them into a single file final_output.txt in the local filesystem, and then copy this merged file back to the Hadoop directory /reports.Change the group of important_data.txt in /secure_data to finance, display the first 10 lines, and then the last 10 lines of this file.8.Get help information for the mv command, check its usage, and then find the checksum of a file named dataset.csv in the /data directory.Copy a file named data1.txt from /input_data to /process_data, move a file named data2.txt from /input_data to /archive_data, and then merge all files in /process_data into a single local file named merged_data.txt.

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Solution

Here are the commands you need to run in a Unix-like system:

  1. Move all files from /temp_data to /final_data:
mv /temp_data/* /final_data/
  1. Merge them into a single file final_output.txt in the local filesystem:
cat /final_data/* > final_output.txt
  1. Copy this merged file back to the Hadoop directory /reports:
hadoop fs -put final_output.txt /reports/
  1. Change the group of important_data.txt in /secure_data to finance:
chgrp finance /secure_data/important_data.txt
  1. Display the first 10 lines of this file:
head -n 10 /secure_data/important_data.txt
  1. Display the last 10 lines of this file:
tail -n 10 /secure_data/important_data.txt
  1. Get help information for the mv command, check its usage:
man mv
  1. Find the checksum of a file named dataset.csv in the /data directory:
sha256sum /data/dataset.csv
  1. Copy a file named data1.txt from /input_data to /process_data:
cp /input_data/data1.txt /process_data/
  1. Move a file named data2.txt from /input_data to /archive_data:
mv /input_data/data2.txt /archive_data/
  1. Merge all files in /process_data into a single local file named merged_data.txt:
cat /process_data/* > merged_data.txt

This problem has been solved

Similar Questions

.Get help information for the mv command, check its usage, and then find the checksum of a file named dataset.csv in the /data directory.Copy a file named data1.txt from /input_data to /process_data, move a file named data2.txt from /input_data to /archive_data, and then merge all files in /process_data into a single local file named merged_data.txt.

Copy a file named data1.txt from /input_data to /process_data, move a file named data2.txt from /input_data to /archive_data, and then merge all files in /process_data into a single local file named merged_data.txt.

What is Hadoop

How is Hadoop Useful to Data Scientists

18. (单选题) Hadoop框架中最核心的设计是什么?(  )A为海量数据提供存储的HDFS和对数据进行计算的MapReduceB提供整个HDFS文件系统的NameSpace(命名空间)管理、块管理等所有服务CHadoop不仅可以运行在企业内部的集群中,也可以运行在云计算环境中DHadoop被视为事实上的大数据处理标准

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