Summary: Report elapsed time of a thread operation in micros in ThreadStatus instead of start time of a thread operation in seconds since the Epoch, 1970-01-01 00:00:00 (UTC). Test Plan: ./db_bench --benchmarks=fillrandom --num=100000 --threads=40 \ --max_background_compactions=10 --max_background_flushes=3 \ --thread_status_per_interval=1000 --key_size=16 --value_size=1000 \ --num_column_families=10 Sample Output: ThreadID ThreadType cfName Operation ElapsedTime Stage State 140667724562496 High Pri column_family_name_000002 Flush 772.419 ms FlushJob::WriteLevel0Table 140667728756800 High Pri default Flush 617.845 ms FlushJob::WriteLevel0Table 140667732951104 High Pri column_family_name_000005 Flush 772.078 ms FlushJob::WriteLevel0Table 140667875557440 Low Pri column_family_name_000008 Compaction 1409.216 ms CompactionJob::Install 140667737145408 Low Pri 140667749728320 Low Pri 140667816837184 Low Pri column_family_name_000007 Compaction 1071.815 ms CompactionJob::ProcessKeyValueCompaction 140667787477056 Low Pri column_family_name_000009 Compaction 772.516 ms CompactionJob::ProcessKeyValueCompaction 140667741339712 Low Pri 140667758116928 Low Pri column_family_name_000004 Compaction 620.739 ms CompactionJob::ProcessKeyValueCompaction 140667753922624 Low Pri 140667842003008 Low Pri column_family_name_000006 Compaction 1260.079 ms CompactionJob::ProcessKeyValueCompaction 140667745534016 Low Pri Reviewers: sdong, igor, rven Subscribers: dhruba, leveldb Differential Revision: https://reviews.facebook.net/D35769 |
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build_tools | ||
coverage | ||
db | ||
doc | ||
examples | ||
hdfs | ||
include | ||
java | ||
linters | ||
port | ||
table | ||
third-party | ||
tools | ||
util | ||
utilities | ||
.arcconfig | ||
.clang-format | ||
.gitignore | ||
.travis.yml | ||
AUTHORS | ||
CONTRIBUTING.md | ||
HISTORY.md | ||
INSTALL.md | ||
LICENSE | ||
Makefile | ||
PATENTS | ||
README.md | ||
ROCKSDB_LITE.md | ||
src.mk | ||
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/