How to Install and Uninstall libJudy1 Package on openSuSE Tumbleweed
Last updated: December 24,2024
1. Install "libJudy1" package
This is a short guide on how to install libJudy1 on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
libJudy1
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2. Uninstall "libJudy1" package
This guide covers the steps necessary to uninstall libJudy1 on openSuSE Tumbleweed:
$
sudo zypper remove
libJudy1
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3. Information about the libJudy1 package on openSuSE Tumbleweed
Information for package libJudy1:
---------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : libJudy1
Version : 1.0.5-11.1
Arch : x86_64
Vendor : openSUSE
Installed Size : 306.0 KiB
Installed : No
Status : not installed
Source package : judy-1.0.5-11.1.src
Upstream URL : http://judy.sourceforge.net/
Summary : Dynamic libraries for Judy
Description :
Judy is a C library that provides a state-of-the-art core technology that implements
a sparse dynamic array. Judy arrays are declared simply with a null pointer. A Judy
array consumes memory only when it is populated, yet can grow to take advantage
of all available memory if desired.
Judy's key benefits are scalability, high performance, and memory efficiency. A Judy
array is extensible and can scale up to a very large number of elements, bounded
only by machine memory. Since Judy is designed as an unbounded array, the size of
a Judy array is not pre-allocated but grows and shrinks dynamically
with the array population.
---------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : libJudy1
Version : 1.0.5-11.1
Arch : x86_64
Vendor : openSUSE
Installed Size : 306.0 KiB
Installed : No
Status : not installed
Source package : judy-1.0.5-11.1.src
Upstream URL : http://judy.sourceforge.net/
Summary : Dynamic libraries for Judy
Description :
Judy is a C library that provides a state-of-the-art core technology that implements
a sparse dynamic array. Judy arrays are declared simply with a null pointer. A Judy
array consumes memory only when it is populated, yet can grow to take advantage
of all available memory if desired.
Judy's key benefits are scalability, high performance, and memory efficiency. A Judy
array is extensible and can scale up to a very large number of elements, bounded
only by machine memory. Since Judy is designed as an unbounded array, the size of
a Judy array is not pre-allocated but grows and shrinks dynamically
with the array population.