How to Install and Uninstall rocksdb-tools Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 17,2024

1. Install "rocksdb-tools" package

This tutorial shows how to install rocksdb-tools on Ubuntu 20.10 (Groovy Gorilla)

$ sudo apt update $ sudo apt install rocksdb-tools

2. Uninstall "rocksdb-tools" package

Please follow the guidance below to uninstall rocksdb-tools on Ubuntu 20.10 (Groovy Gorilla):

$ sudo apt remove rocksdb-tools $ sudo apt autoclean && sudo apt autoremove

3. Information about the rocksdb-tools package on Ubuntu 20.10 (Groovy Gorilla)

Package: rocksdb-tools
Architecture: amd64
Version: 5.17.2-3ubuntu1
Priority: optional
Section: universe/database
Source: rocksdb
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Laszlo Boszormenyi (GCS)
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 31888
Depends: libbz2-1.0, libc6 (>= 2.29), libgcc-s1 (>= 3.0), 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/rocksdb-tools_5.17.2-3ubuntu1_amd64.deb
Size: 5046716
MD5sum: dbfcb9566a7c50bd764b005c1ba9ca27
SHA1: d18140ce889ab2ec3661ad3302e6ad4f71b7e993
SHA256: b9b2d200f8b2839f4545d3cc27dce729502e757375580ae085389ac2dcd7f37d
SHA512: 9769ab487174150e88a5f5f7b5af48415bdf2ee643d16b2b1b740901104c605011a4625a1a2cad1d993f16b71381a9effeca9dbf257134b6bf384884421378ed
Homepage: https://rocksdb.org/
Description-en: persistent Key-Value Store for Flash and RAM Storage (tools)
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
.
This package contains administration and data access tools.
Description-md5: 540488c747b111953bb09c54825e34be