9c332aa11a
Summary: In this patch, we enhance HashLinkList memtable to reduce performance outliers when a bucket contains too many entries. We switch to skip list for this case to enable binary search. Add threshold_use_skiplist parameter to determine when a bucket needs to switch to skip list. The new data structure is documented in comments in the codes. Test Plan: make all check set threshold_use_skiplist in several tests Reviewers: yhchiang, haobo, ljin Reviewed By: yhchiang, ljin Subscribers: nkg-, xjin, dhruba, yhchiang, leveldb Differential Revision: https://reviews.facebook.net/D19299 |
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build_tools | ||
coverage | ||
db | ||
doc | ||
examples | ||
hdfs | ||
helpers/memenv | ||
include | ||
java | ||
linters | ||
port | ||
table | ||
third-party/rapidjson | ||
tools | ||
util | ||
utilities | ||
.arcconfig | ||
.clang-format | ||
.gitignore | ||
.travis.yml | ||
CONTRIBUTING.md | ||
HISTORY.md | ||
INSTALL.md | ||
LICENSE | ||
Makefile | ||
PATENTS | ||
README.md | ||
ROCKSDB_LITE.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 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/