How to Install and Uninstall protobuf.x86_64 Package on Amazon Linux 2
Last updated: February 06,2025
1. Install "protobuf.x86_64" package
Please follow the steps below to install protobuf.x86_64 on Amazon Linux 2
$
sudo yum makecache
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$
sudo yum install
protobuf.x86_64
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2. Uninstall "protobuf.x86_64" package
Please follow the guidance below to uninstall protobuf.x86_64 on Amazon Linux 2:
$
sudo yum remove
protobuf.x86_64
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$
sudo yum autoremove
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3. Information about the protobuf.x86_64 package on Amazon Linux 2
Loaded plugins: ovl, priorities
Available Packages
Name : protobuf
Arch : x86_64
Version : 2.5.0
Release : 8.amzn2.0.2
Size : 322 k
Repo : amzn2-core/2/x86_64
Summary : Protocol Buffers - Google's data interchange format
URL : http://code.google.com/p/protobuf/
License : BSD
Description : Protocol Buffers are a way of encoding structured data in an
: efficient yet extensible format. Google uses Protocol Buffers for
: almost all of its internal RPC protocols and file formats.
:
: Protocol buffers are a flexible, efficient, automated mechanism
: for serializing structured data ? think XML, but smaller, faster,
: and simpler. You define how you want your data to be structured
: once, then you can use special generated source code to easily
: write and read your structured data to and from a variety of data
: streams and using a variety of languages. You can even update your
: data structure without breaking deployed programs that are
: compiled against the "old" format.
Available Packages
Name : protobuf
Arch : x86_64
Version : 2.5.0
Release : 8.amzn2.0.2
Size : 322 k
Repo : amzn2-core/2/x86_64
Summary : Protocol Buffers - Google's data interchange format
URL : http://code.google.com/p/protobuf/
License : BSD
Description : Protocol Buffers are a way of encoding structured data in an
: efficient yet extensible format. Google uses Protocol Buffers for
: almost all of its internal RPC protocols and file formats.
:
: Protocol buffers are a flexible, efficient, automated mechanism
: for serializing structured data ? think XML, but smaller, faster,
: and simpler. You define how you want your data to be structured
: once, then you can use special generated source code to easily
: write and read your structured data to and from a variety of data
: streams and using a variety of languages. You can even update your
: data structure without breaking deployed programs that are
: compiled against the "old" format.