d9cfaa2b16
Summary: Persistent cache tier is the tier abstraction that can work for any block device based device mounted on a file system. The design/implementation can handle any generic block device. Any generic block support is achieved by generalizing the access patten as {io-size, q-depth, direct-io/buffered}. We have specifically tested and adapted the IO path for NVM and SSD. Persistent cache tier consists of there parts : 1) File layout Provides the implementation for handling IO path for reading and writing data (key/value pair). 2) Meta-data Provides the implementation for handling the index for persistent read cache. 3) Implementation It binds (1) and (2) and flushed out the PersistentCacheTier interface This patch provides implementation for (1)(2). Follow up patch will provide (3) and tests. Test Plan: Compile and run check Subscribers: andrewkr, dhruba, leveldb Differential Revision: https://reviews.facebook.net/D57117 |
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arcanist_util | ||
build_tools | ||
coverage | ||
db | ||
doc | ||
examples | ||
hdfs | ||
include/rocksdb | ||
java | ||
memtable | ||
port | ||
table | ||
third-party | ||
tools | ||
util | ||
utilities | ||
.arcconfig | ||
.clang-format | ||
.gitignore | ||
.travis.yml | ||
appveyor.yml | ||
AUTHORS | ||
CMakeLists.txt | ||
CONTRIBUTING.md | ||
DEFAULT_OPTIONS_HISTORY.md | ||
DUMP_FORMAT.md | ||
HISTORY.md | ||
INSTALL.md | ||
LANGUAGE-BINDINGS.md | ||
LICENSE | ||
Makefile | ||
PATENTS | ||
README.md | ||
ROCKSDB_LITE.md | ||
src.mk | ||
thirdparty.inc | ||
USERS.md | ||
Vagrantfile | ||
WINDOWS_PORT.md |
RocksDB: A Persistent Key-Value Store for Flash and RAM Storage
RocksDB is developed and maintained by Facebook Database Engineering Team. It is built on earlier work on LevelDB by Sanjay Ghemawat (sanjay@google.com) and Jeff Dean (jeff@google.com)
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 specially 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/