0a019d74a0
Summary: Currently, when we insert something into block cache, we say that the block cache capacity decreased by the size of the block. However, size of the block might be less than the actual memory used by this object. For example, 4.5KB block will actually use 8KB of memory. So even if we configure block cache to 10GB, our actually memory usage of block cache will be 20GB! This problem showed up a lot in testing and just recently also showed up in MongoRocks production where we were using 30GB more memory than expected. This diff will fix the problem. Instead of counting the block size, we will count memory used by the block. That way, a block cache configured to be 10GB will actually use only 10GB of memory. I'm using non-portable function and I couldn't find info on portability on Google. However, it seems to work on Linux, which will cover majority of our use-cases. Test Plan: 1. fill up mongo instance with 80GB of data 2. restart mongo with block cache size configured to 10GB 3. do a table scan in mongo 4. memory usage before the diff: 12GB. memory usage after the diff: 10.5GB Reviewers: sdong, MarkCallaghan, rven, yhchiang Reviewed By: yhchiang Subscribers: dhruba, leveldb Differential Revision: https://reviews.facebook.net/D40635 |
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arcanist_util | ||
build_tools | ||
coverage | ||
db | ||
doc | ||
examples | ||
hdfs | ||
include | ||
java | ||
port | ||
table | ||
third-party | ||
tools | ||
util | ||
utilities | ||
.arcconfig | ||
.clang-format | ||
.gitignore | ||
.travis.yml | ||
AUTHORS | ||
CONTRIBUTING.md | ||
DUMP_FORMAT.md | ||
HISTORY.md | ||
INSTALL.md | ||
LICENSE | ||
Makefile | ||
PATENTS | ||
README.md | ||
ROCKSDB_LITE.md | ||
src.mk | ||
USERS.md | ||
Vagrantfile |
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/