ldb

persistent Key-Value Store for Flash and RAM Storage (tools)

Install

All systems
curl cmd.cat/ldb.sh
Debian Debian
apt-get install rocksdb-tools
Ubuntu
apt-get install rocksdb-tools
Arch Arch Linux
pacman -S percona-server
image/svg+xml Kali Linux
apt-get install rocksdb-tools
Fedora
dnf install rocksdb
Windows (WSL2)
sudo apt-get update sudo apt-get install rocksdb-tools
OS X
brew install rocksdb
Dockerfile
dockerfile.run/ldb

rocksdb-tools

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.

percona-server

Drop-in replacement for MySQL that provides improved performance, diagnostics, instrumentation and MyRocks storage engine

rocksdb

Rocksdb is a library that forms the core building block for a

fast key value server, especially suited for storing data on flash drives. It has a Log-Structured-Merge-Database (LSM) design with flexible trade offs between Write-Amplification-Factor (WAF), Read-Amplification-Factor (RAF) and Space-Amplification-Factor (SAF). It has multithreaded compaction, making it specially suitable for storing multiple terabytes of data in a single database.