Code Monkey home page Code Monkey logo

pmem-rocksdb's Introduction

RocksDB: A Persistent Key-Value Store for Flash and RAM Storage

Intel optimized features for pmem

These are experimental features, don't use them in production environment.

Build

make ROCKSDB_ON_DCPMM=1 install-static -j

Reuse obsoleted sst files

To avoid page-fault and page-zeroing overhead on pmem

usage:

options.recycle_dcpmm_sst = true;

Write wal with nt-store

usage:

options.env = rocksdb::NewDCPMMEnv(rocksdb::DCPMMEnvOptions());

Key-value separation

allocate values with libpmemobj

usage:

options.env = rocksdb::NewDCPMMEnv(rocksdb::DCPMMEnvOptions());

options.dcpmm_kvs_enable = true;

options.dcpmm_kvs_mmapped_file_fullpath = {path to libpmemobj file};

options.dcpmm_kvs_mmapped_file_size = {libpmemobj file size};

options.dcpmm_kvs_value_thres = 64; // minimal size to do kv sep

options.dcpmm_compress_value = false;

Optimized mmap read for pmem

usage:

options.use_mmap_read = true;

options.cache_index_and_filter_blocks_for_mmap_read = true;

rocksdb::BlockBasedTableOptions bbto;

bbto.block_size = 256 (512,1024, ... etc);

options.table_factory.reset(rocksdb::NewBlockBasedTableFactory(bbto));

Linux/Mac Build Status Windows Build status PPC64le Build Status

RocksDB is developed and maintained by Facebook Database Engineering Team. It is built on earlier work on LevelDB by Sanjay Ghemawat ([email protected]) and Jeff Dean ([email protected])

This code 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 tradeoffs between Write-Amplification-Factor (WAF), Read-Amplification-Factor (RAF) and Space-Amplification-Factor (SAF). It has multi-threaded compactions, making it especially suitable for storing multiple terabytes of data in a single database.

Start with example usage here: https://github.com/facebook/rocksdb/tree/master/examples

See the github wiki for more explanation.

The public interface is in include/. Callers should not include or rely on the details of any other header files in this package. Those internal APIs may be changed without warning.

Design discussions are conducted in https://www.facebook.com/groups/rocksdb.dev/ and https://rocksdb.slack.com/

License

RocksDB is dual-licensed under both the GPLv2 (found in the COPYING file in the root directory) and Apache 2.0 License (found in the LICENSE.Apache file in the root directory). You may select, at your option, one of the above-listed licenses.

pmem-rocksdb's People

Contributors

igorcanadi avatar siying avatar yhchiang avatar ajkr avatar islamabdelrahman avatar dhruba avatar fyrz avatar adamretter avatar yuslepukhin avatar sagar0 avatar lightmark avatar riversand963 avatar liukai avatar emayanke avatar haoboxu avatar miasantreble avatar agiardullo avatar rven1 avatar mdcallag avatar joelmarcey avatar dalgaaf avatar grooverdan avatar al13n321 avatar 4txj7f avatar meyering avatar reidhoruff avatar abhimadan avatar sherlocknomad avatar jsteemann avatar praveensinghrao avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.