Monday, May 22, 2023

How to download file using wget and curl command in linux ?

Download file using wget and curl command in linux 




[root@0.0.0.0 ~]# rpm -qa | grep -i wget

wget-1.19.5-11.el8.x86_64

[root@0.0.0.0 ~]#


Using wget commnad :


[root@0.0.0.0 ~]#

[root@0.0.0.0 ~]# wget https://the.earth.li/~sgtatham/putty/latest/putty-0.78.tar.gz

--2023-05-22 15:44:09--  https://the.earth.li/~sgtatham/putty/latest/putty-0.78.tar.gz

Resolving the.earth.li (the.earth.li)... 93.93.131.124, 2a00:1098:86:4d:c0ff:ee:15:900d

Connecting to the.earth.li (the.earth.li)|93.93.131.124|:443... connected.

HTTP request sent, awaiting response... 302 Found

Location: https://the.earth.li/~sgtatham/putty/0.78/putty-0.78.tar.gz [following]

--2023-05-22 15:44:10--  https://the.earth.li/~sgtatham/putty/0.78/putty-0.78.tar.gz

Reusing existing connection to the.earth.li:443.

HTTP request sent, awaiting response... 200 OK

Length: 2811628 (2.7M) [application/x-gzip]

Saving to: ‘putty-0.78.tar.gz’


putty-0.78.tar.gz               100%[=====================================================>]   2.68M  4.71MB/s    in 0.6s


2023-05-22 15:44:10 (4.71 MB/s) - ‘putty-0.78.tar.gz’ saved [2811628/2811628]


[root@0.0.0.0 ~]#



Using curl command :


[root@0.0.0.0 tmp]# curl -O https://the.earth.li/~sgtatham/putty/latest/putty-0.78.tar.gz

  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current

                                 Dload  Upload   Total   Spent    Left  Speed

100   306  100   306    0     0   1066      0 --:--:-- --:--:-- --:--:--  1066

[root@0.0.0.0 tmp]#

[root@0.0.0.0 tmp]#


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About the Author : Anurag Pandey | Database cloud Architect | Oracle | SQL Server | PostgreSQL | AI and Data Platform Enthusiast

Anurag Pandey is a Database Architect with expertise in Oracle, PostgreSQL, SQL Server, Linux, and enterprise database platforms and specializes in database architecture, performance tuning, high availability, disaster recovery, cloud modernization, and operational excellence. With extensive experience in enterprise-scale environments, Anurag is passionate about leveraging AI, automation, and modern data platforms to improve reliability, scalability, and business outcomes. He actively contributes to technical communities through knowledge sharing, architecture guidance, and thought leadership in database and data engineering domains.

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