• RocksDB is an embeddable persistent key-value store for fast storage. ... RocksDB exploits the full potential of high read/write rates offered by flash or RAM.
  • Dynamic Level Size for Level-Based Compaction. RocksDB is now available in Windows Platform. Spatial indexing in RocksDB. RocksDB 2015 H2 roadmap.
  • In this post, I am discussing RocksDB basic usage irrespective of a certain use case and how you can use it in your Python applications. Installation and Setup.
  • RocksDB, like LevelDB, stores keys and values in arbitrary byte arrays, and data is sorted byte-wise by key or by providing a custom comparator.
  • RocksDB: A Persistent Key-Value Store for Flash and RAM Storage. ... RocksDB is developed and maintained by Facebook Database Engineering Team.
    • Issues:
      635
    • Last commit:
      12 July 2024
  • Rocksdb is an embeddable persistent key-value store for fast storage. ... log-structured storage engines (Leveldb, Rocksdb, and Cassandra).
  • Similar to records in the WAL, blocks contain checksums to detect data corruptions. RocksDB verifies these checksums every time it reads from the disk.
  • RocksDB stores all data as uninterpreted byte strings. pyrocksdb behaves the same and uses nearly everywhere byte strings too. In python2 this is the str type.
  • For a Get() query, RocksDB scans through mutable memtable, list of immutable memtables, and SST files to find the target key.
  • Developers often use RocksDB in applications that demand low-latency storage, such as key-value stores, storage engines for databases, and caching systems.