How to Install and Uninstall librocksdb6.11 Package on Ubuntu 21.04 (Hirsute Hippo)
Last updated: February 03,2025
1. Install "librocksdb6.11" package
Here is a brief guide to show you how to install librocksdb6.11 on Ubuntu 21.04 (Hirsute Hippo)
$
sudo apt update
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$
sudo apt install
librocksdb6.11
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2. Uninstall "librocksdb6.11" package
This tutorial shows how to uninstall librocksdb6.11 on Ubuntu 21.04 (Hirsute Hippo):
$
sudo apt remove
librocksdb6.11
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the librocksdb6.11 package on Ubuntu 21.04 (Hirsute Hippo)
Package: librocksdb6.11
Architecture: amd64
Version: 6.11.4-3
Priority: optional
Section: universe/libs
Source: rocksdb
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Laszlo Boszormenyi (GCS)
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 6326
Depends: libbz2-1.0, libc6 (>= 2.30), libgcc-s1 (>= 3.4), libgflags2.2, liblz4-1 (>= 0.0~r130), libsnappy1v5 (>= 1.1.8), libstdc++6 (>= 9), libzstd1 (>= 1.3.2), zlib1g (>= 1:1.1.4)
Filename: pool/universe/r/rocksdb/librocksdb6.11_6.11.4-3_amd64.deb
Size: 1844996
MD5sum: fdb19f0563b2179b829cd8741481a84c
SHA1: ed91ee7180d3e610e6fd9a342fe28d97f0a586ff
SHA256: fc395288239ca80c9c7be0f36212d4643cfbdeb53b813cfdb41abc4d4b8edffa
SHA512: dee159ca17e0b81b3cbcce053faf50f2839a2f0447832939ceefef0fd8598babd248a5618f9c5b555140abe3be866195f878402b7cbf985fe4be513d21f6b738
Homepage: https://rocksdb.org/
Description-en: persistent Key-Value Store for Flash and RAM Storage
C++ library providing an embedded key-value store, where keys and values are
arbitrary byte streams. It was developed at Facebook based on LevelDB and
provides backwards-compatible support for LevelDB APIs.
.
RocksDB is optimized for Flash with extremely low latencies. RocksDB uses a
Log Structured Database Engine for storage, written entirely in C++.
.
RocksDB features highly flexible configuration settings that may be tuned to
run on a variety of production environments, including pure memory, Flash,
hard disks or HDFS. It supports various compression algorithms and good tools
for production support and debugging.
.
Features:
- Designed for application servers wanting to store up to a few terabytes
of data on locally attached Flash drives or in RAM
- Optimized for storing small to medium size key-values on fast storage --
flash devices or in-memory
- Scales linearly with number of CPUs so that it works well on ARM
processors
Description-md5: d178a472e7f7b49538d13b54a710cbdb
Architecture: amd64
Version: 6.11.4-3
Priority: optional
Section: universe/libs
Source: rocksdb
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Laszlo Boszormenyi (GCS)
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 6326
Depends: libbz2-1.0, libc6 (>= 2.30), libgcc-s1 (>= 3.4), libgflags2.2, liblz4-1 (>= 0.0~r130), libsnappy1v5 (>= 1.1.8), libstdc++6 (>= 9), libzstd1 (>= 1.3.2), zlib1g (>= 1:1.1.4)
Filename: pool/universe/r/rocksdb/librocksdb6.11_6.11.4-3_amd64.deb
Size: 1844996
MD5sum: fdb19f0563b2179b829cd8741481a84c
SHA1: ed91ee7180d3e610e6fd9a342fe28d97f0a586ff
SHA256: fc395288239ca80c9c7be0f36212d4643cfbdeb53b813cfdb41abc4d4b8edffa
SHA512: dee159ca17e0b81b3cbcce053faf50f2839a2f0447832939ceefef0fd8598babd248a5618f9c5b555140abe3be866195f878402b7cbf985fe4be513d21f6b738
Homepage: https://rocksdb.org/
Description-en: persistent Key-Value Store for Flash and RAM Storage
C++ library providing an embedded key-value store, where keys and values are
arbitrary byte streams. It was developed at Facebook based on LevelDB and
provides backwards-compatible support for LevelDB APIs.
.
RocksDB is optimized for Flash with extremely low latencies. RocksDB uses a
Log Structured Database Engine for storage, written entirely in C++.
.
RocksDB features highly flexible configuration settings that may be tuned to
run on a variety of production environments, including pure memory, Flash,
hard disks or HDFS. It supports various compression algorithms and good tools
for production support and debugging.
.
Features:
- Designed for application servers wanting to store up to a few terabytes
of data on locally attached Flash drives or in RAM
- Optimized for storing small to medium size key-values on fast storage --
flash devices or in-memory
- Scales linearly with number of CPUs so that it works well on ARM
processors
Description-md5: d178a472e7f7b49538d13b54a710cbdb