Commit Graph

8 Commits

Author SHA1 Message Date
Adam Retter
6d58ea901d Fix compilation under MSVC VS2015 (#6081)
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
2019-11-26 18:24:09 -08:00
Jay Zhuang
51413e0a85 Fix a compile error (#5864)
Summary:
```
tools/block_cache_analyzer/block_cache_trace_analyzer.cc:653:48: error: implicit conversion loses integer precision: 'uint64_t' (aka 'unsigned long long') to 'std::__1::linear_congruential_engine<unsigned int, 48271, 0, 2147483647>::result_type' (aka 'unsigned int') [-Werror,-Wshorten-64-to-32]
  std::default_random_engine rand_engine(env_->NowMicros());
```
Pull Request resolved: https://github.com/facebook/rocksdb/pull/5864

Differential Revision: D17668962

fbshipit-source-id: e08fa58b2a78a8dd8b334862b5714208f696b8ab
2019-09-30 14:02:19 -07:00
sdong
c06b54d0c6 Apply formatter on recent 45 commits. (#5827)
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
2019-09-19 12:34:17 -07:00
Adam Retter
e8c2e68b4e Fix RocksDB bug in block_cache_trace_analyzer.cc on Windows (#5786)
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
2019-09-11 18:36:41 -07:00
haoyuhuang
3da225716c Block cache analyzer: Support reading from human readable trace file. (#5679)
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
2019-08-09 13:13:54 -07:00
haoyuhuang
6e78fe3c8d Pysim more algorithms (#5644)
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
2019-08-06 18:50:59 -07:00
haoyuhuang
f4a616ebf9 Block cache analyzer: python script to plot graphs (#5673)
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
2019-08-05 18:35:52 -07:00
haoyuhuang
70c7302fb5 Block cache simulator: Add pysim to simulate caches using reinforcement learning. (#5610)
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
2019-07-26 14:41:13 -07:00