Summary:
When dynamically linking two binaries together, different builds of RocksDB from two sources might cause errors. To provide a tool for user to solve the problem, the RocksDB namespace is changed to a flag which can be overridden in build time.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/6433
Test Plan: Build release, all and jtest. Try to build with ROCKSDB_NAMESPACE with another flag.
Differential Revision: D19977691
fbshipit-source-id: aa7f2d0972e1c31d75339ac48478f34f6cfcfb3e
Summary:
```
In file included from /usr/include/c++/4.8.2/algorithm:62:0,
from ./db/merge_context.h:7,
from ./db/dbformat.h:16,
from ./tools/block_cache_analyzer/block_cache_trace_analyzer.h:12,
from tools/block_cache_analyzer/block_cache_trace_analyzer.cc:8:
/usr/include/c++/4.8.2/bits/stl_algo.h: In instantiation of ‘_RandomAccessIterator std::__unguarded_partition(_RandomAccessIterator, _RandomAccessIterator, const _Tp&, _Compare) [with _RandomAccessIterator = __gnu_cxx::__normal_iterator<std::pair<std::basic_string<char>, long unsigned int>*, std::vector<std::pair<std::basic_string<char>, long unsigned int> > >; _Tp = std::pair<std::basic_string<char>, long unsigned int>; _Compare = rocksdb::BlockCacheTraceAnalyzer::WriteSkewness(const string&, const std::vector<long unsigned int>&, rocksdb::TraceType) const::__lambda1]’:
/usr/include/c++/4.8.2/bits/stl_algo.h:2296:78: required from ‘_RandomAccessIterator std::__unguarded_partition_pivot(_RandomAccessIterator, _RandomAccessIterator, _Compare) [with _RandomAccessIterator = __gnu_cxx::__normal_iterator<std::pair<std::basic_string<char>, long unsigned int>*, std::vector<std::pair<std::basic_string<char>, long unsigned int> > >; _Compare = rocksdb::BlockCacheTraceAnalyzer::WriteSkewness(const string&, const std::vector<long unsigned int>&, rocksdb::TraceType) const::__lambda1]’
/usr/include/c++/4.8.2/bits/stl_algo.h:2337:62: required from ‘void std::__introsort_loop(_RandomAccessIterator, _RandomAccessIterator, _Size, _Compare) [with _RandomAccessIterator = __gnu_cxx::__normal_iterator<std::pair<std::basic_string<char>, long unsigned int>*, std::vector<std::pair<std::basic_string<char>, long unsigned int> > >; _Size = long int; _Compare = rocksdb::BlockCacheTraceAnalyzer::WriteSkewness(const string&, const std::vector<long unsigned int>&, rocksdb::TraceType) const::__lambda1]’
/usr/include/c++/4.8.2/bits/stl_algo.h:5499:44: required from ‘void std::sort(_RAIter, _RAIter, _Compare) [with _RAIter = __gnu_cxx::__normal_iterator<std::pair<std::basic_string<char>, long unsigned int>*, std::vector<std::pair<std::basic_string<char>, long unsigned int> > >; _Compare = rocksdb::BlockCacheTraceAnalyzer::WriteSkewness(const string&, const std::vector<long unsigned int>&, rocksdb::TraceType) const::__lambda1’
tools/block_cache_analyzer/block_cache_trace_analyzer.cc:583:79: required from here
/usr/include/c++/4.8.2/bits/stl_algo.h:2263:35: error: no match for call to ‘(rocksdb::BlockCacheTraceAnalyzer::WriteSkewness(const string&, const std::vector<long unsigned int>&, rocksdb::TraceType) const::__lambda1) (std::pair<std::basic_string<char>, long unsigned int>&, const std::pair<std::basic_string<char>, long unsigned int>&)’
while (__comp(*__first, __pivot))
^
tools/block_cache_analyzer/block_cache_trace_analyzer.cc:582:9: note: candidates are:
[=](std::pair<std::string, uint64_t>& a,
^
In file included from /usr/include/c++/4.8.2/algorithm:62:0,
from ./db/merge_context.h:7,
from ./db/dbformat.h:16,
from ./tools/block_cache_analyzer/block_cache_trace_analyzer.h:12,
from tools/block_cache_analyzer/block_cache_trace_analyzer.cc:8:
/usr/include/c++/4.8.2/bits/stl_algo.h:2263:35: note: bool (*)(std::pair<std::basic_string<char>, long unsigned int>&, std::pair<std::basic_string<char>, long unsigned int>&) <conversion>
while (__comp(*__first, __pivot))
^
/usr/include/c++/4.8.2/bits/stl_algo.h:2263:35: note: candidate expects 3 arguments, 3 provided
tools/block_cache_analyzer/block_cache_trace_analyzer.cc:583:46: note: rocksdb::BlockCacheTraceAnalyzer::WriteSkewness(const string&, const std::vector<long unsigned int>&, rocksdb::TraceType) const::__lambda1
std::pair<std::string, uint64_t>& b) { return b.second < a.second; });
^
tools/block_cache_analyzer/block_cache_trace_analyzer.cc:583:46: note: no known conversion for argument 2 from ‘const std::pair<std::basic_string<char>, long unsigned int>’ to ‘std::pair<std::basic_string<char>, long unsigned int>&’
In file included from /usr/include/c++/4.8.2/algorithm:62:0,
from ./db/merge_context.h:7,
from ./db/dbformat.h:16,
from ./tools/block_cache_analyzer/block_cache_trace_analyzer.h:12,
from tools/block_cache_analyzer/block_cache_trace_analyzer.cc:8:
/usr/include/c++/4.8.2/bits/stl_algo.h:2266:34: error: no match for call to ‘(rocksdb::BlockCacheTraceAnalyzer::WriteSkewness(const string&, const std::vector<long unsigned int>&, rocksdb::TraceType) const::__lambda1) (const std::pair<std::basic_string<char>, long unsigned int>&, std::pair<std::basic_string<char>, long unsigned int>&)’
while (__comp(__pivot, *__last))
^
tools/block_cache_analyzer/block_cache_trace_analyzer.cc:582:9: note: candidates are:
[=](std::pair<std::string, uint64_t>& a,
^
In file included from /usr/include/c++/4.8.2/algorithm:62:0,
from ./db/merge_context.h:7,
from ./db/dbformat.h:16,
from ./tools/block_cache_analyzer/block_cache_trace_analyzer.h:12,
from tools/block_cache_analyzer/block_cache_trace_analyzer.cc:8:
/usr/include/c++/4.8.2/bits/stl_algo.h:2266:34: note: bool (*)(std::pair<std::basic_string<char>, long unsigned int>&, std::pair<std::basic_string<char>, long unsigned int>&) <conversion>
while (__comp(__pivot, *__last))
^
/usr/include/c++/4.8.2/bits/stl_algo.h:2266:34: note: candidate expects 3 arguments, 3 provided
tools/block_cache_analyzer/block_cache_trace_analyzer.cc:583:46: note: rocksdb::BlockCacheTraceAnalyzer::WriteSkewness(const string&, const std::vector<long unsigned int>&, rocksdb::TraceType) const::__lambda1
std::pair<std::string, uint64_t>& b) { return b.second < a.second; });
^
tools/block_cache_analyzer/block_cache_trace_analyzer.cc:583:46: note: no known conversion for argument 1 from ‘const std::pair<std::basic_string<char>, long unsigned int>’ to ‘std::pair<std::basic_string<char>, long unsigned int>&’
```
Pull Request resolved: https://github.com/facebook/rocksdb/pull/6106
Differential Revision: D18783943
Pulled By: riversand963
fbshipit-source-id: cc7fc10565f0210b9eebf46b95cb4950ec0b15fa
Summary:
**NOTE**: this also needs to be back-ported to 6.4.6 and possibly older branches if further releases from them is envisaged.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/6081
Differential Revision: D18710107
Pulled By: zhichao-cao
fbshipit-source-id: 03260f9316566e2bfc12c7d702d6338bb7941e01
Summary:
Some recent commits might not have passed through the formatter. I formatted recent 45 commits. The script hangs for more commits so I stopped there.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/5827
Test Plan: Run all existing tests.
Differential Revision: D17483727
fbshipit-source-id: af23113ee63015d8a43d89a3bc2c1056189afe8f
Summary:
This is required to compile on Windows with Visual Studio 2015.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/5786
Differential Revision: D17335994
fbshipit-source-id: 8f9568310bc6f697e312b5e24ad465e9084f0011
Summary:
This PR adds support in block cache trace analyzer to read from human readable trace file. This is needed when a user does not have access to the binary trace file.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/5679
Test Plan: USE_CLANG=1 make check -j32
Differential Revision: D16697239
Pulled By: HaoyuHuang
fbshipit-source-id: f2e29d7995816c389b41458f234ec8e184a924db
Summary:
This PR adds four more eviction policies.
- OPT [1]
- Hyperbolic caching [2]
- ARC [3]
- GreedyDualSize [4]
[1] L. A. Belady. 1966. A Study of Replacement Algorithms for a Virtual-storage Computer. IBM Syst. J. 5, 2 (June 1966), 78-101. DOI=http://dx.doi.org/10.1147/sj.52.0078
[2] Aaron Blankstein, Siddhartha Sen, and Michael J. Freedman. 2017. Hyperbolic caching: flexible caching for web applications. In Proceedings of the 2017 USENIX Conference on Usenix Annual Technical Conference (USENIX ATC '17). USENIX Association, Berkeley, CA, USA, 499-511.
[3] Nimrod Megiddo and Dharmendra S. Modha. 2003. ARC: A Self-Tuning, Low Overhead Replacement Cache. In Proceedings of the 2nd USENIX Conference on File and Storage Technologies (FAST '03). USENIX Association, Berkeley, CA, USA, 115-130.
[4] N. Young. The k-server dual and loose competitiveness for paging. Algorithmica, June 1994, vol. 11,(no.6):525-41. Rewritten version of ''On-line caching as cache size varies'', in The 2nd Annual ACM-SIAM Symposium on Discrete Algorithms, 241-250, 1991.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/5644
Differential Revision: D16548817
Pulled By: HaoyuHuang
fbshipit-source-id: 838f76db9179f07911abaab46c97e1c929cfcd63
Summary:
This PR updated the python script to plot graphs for stats output from block cache analyzer.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/5673
Test Plan: Manually run the script to generate graphs.
Differential Revision: D16657145
Pulled By: HaoyuHuang
fbshipit-source-id: fd510b5fd4307835f9a986fac545734dbe003d28
Summary:
This PR implements cache eviction using reinforcement learning. It includes two implementations:
1. An implementation of Thompson Sampling for the Bernoulli Bandit [1].
2. An implementation of LinUCB with disjoint linear models [2].
The idea is that a cache uses multiple eviction policies, e.g., MRU, LRU, and LFU. The cache learns which eviction policy is the best and uses it upon a cache miss.
Thompson Sampling is contextless and does not include any features.
LinUCB includes features such as level, block type, caller, column family id to decide which eviction policy to use.
[1] Daniel J. Russo, Benjamin Van Roy, Abbas Kazerouni, Ian Osband, and Zheng Wen. 2018. A Tutorial on Thompson Sampling. Found. Trends Mach. Learn. 11, 1 (July 2018), 1-96. DOI: https://doi.org/10.1561/2200000070
[2] Lihong Li, Wei Chu, John Langford, and Robert E. Schapire. 2010. A contextual-bandit approach to personalized news article recommendation. In Proceedings of the 19th international conference on World wide web (WWW '10). ACM, New York, NY, USA, 661-670. DOI=http://dx.doi.org/10.1145/1772690.1772758
Pull Request resolved: https://github.com/facebook/rocksdb/pull/5610
Differential Revision: D16435067
Pulled By: HaoyuHuang
fbshipit-source-id: 6549239ae14115c01cb1e70548af9e46d8dc21bb
Michael R. Crusoe