1. 26 2月, 2014 9 次提交
  2. 25 2月, 2014 6 次提交
  3. 24 2月, 2014 2 次提交
  4. 21 2月, 2014 2 次提交
  5. 20 2月, 2014 4 次提交
  6. 19 2月, 2014 2 次提交
  7. 15 2月, 2014 6 次提交
    • K
      Fix the lint issues in dev box · 78ce24a7
      Kai Liu 提交于
      Summary:
      Owing to the difference between platforms (my macbook and dev server), arc lint throws fatal error in dev box.
      To fix the problem (quickly), I removed all incompatible function calls.
      
      Test Plan: ran `arc lint` in dev box and passed.
      
      Reviewers: igor, yhchiang
      
      CC: leveldb
      
      Differential Revision: https://reviews.facebook.net/D16173
      78ce24a7
    • I
      some improvements to CompressedCache test · 6aef6612
      Igor Canadi 提交于
      6aef6612
    • I
      Fix table properties · 422bb09c
      Igor Canadi 提交于
      Summary: Adapt table properties to column family world
      
      Test Plan: make check
      
      Reviewers: kailiu
      
      CC: leveldb
      
      Differential Revision: https://reviews.facebook.net/D16161
      422bb09c
    • I
      Merge branch 'master' into columnfamilies · 76c04818
      Igor Canadi 提交于
      Conflicts:
      	db/db_impl.cc
      	db/db_test.cc
      	include/rocksdb/db.h
      76c04818
    • I
      fix u/s comparison #83 · be7e273d
      Igor Canadi 提交于
      be7e273d
    • I
      [CF] DB test to run on non-default column family · c67d48c8
      Igor Canadi 提交于
      Summary:
      This is a huge diff and it was hectic, but the idea is actually quite simple. Every operation (Put, Get, etc.) done on default column family in DBTest is now forwarded to non-default ("pikachu"). The good news is that we had zero test failures! Column families look stable so far.
      
      One interesting test that I adapted for column families is MultiThreadedTest. I replaced every Put() with a WriteBatch writing to all column families concurrently. Every Put in the write batch contains unique_id. Instead of Get() I do a multiget across all column families with the same key. If atomicity holds, I expect to see the same unique_id in all column families.
      
      Test Plan: This is a test!
      
      Reviewers: dhruba, haobo, kailiu, sdong
      
      CC: leveldb
      
      Differential Revision: https://reviews.facebook.net/D16149
      c67d48c8
  8. 14 2月, 2014 5 次提交
    • K
      Improve/fix bugs for the cpp linter · 46812f68
      kailiu 提交于
      Summary:
      Previous our new `arc lint` has two annoying bugs:
      
      * Keeping sending false alarm that we'd put c++ system files first -- even though we've already done that.
        - this problem is caused by our linter, which doesn't give the underlying cpplint.py right file path (it gives "-" as file name), making cpplint.py work incorrectly.
      * Only works in rocksdb's root dir; Otherwise it'll throw exception saying "cannot find cpplint.py".
      
      I copied open source ArcanistCpplintLinter and modifiy it for our use.
      
      Test Plan: Ran arc lint and made sure the above-mentioned problem won't occur.
      
      Reviewers: haobo, sdong, igor, ljin, yhchiang, dhruba
      
      CC: leveldb
      
      Differential Revision: https://reviews.facebook.net/D16137
      46812f68
    • K
      Expose the table properties to application · 63690625
      kailiu 提交于
      Summary: Provide a public API for users to access the table properties for each SSTable.
      
      Test Plan: Added a unit tests to test the function correctness under differnet conditions.
      
      Reviewers: haobo, dhruba, sdong
      
      Reviewed By: haobo
      
      CC: leveldb
      
      Differential Revision: https://reviews.facebook.net/D16083
      63690625
    • K
      Followup code refactor on plain table · b2e7ee8b
      Kai Liu 提交于
      Summary:
      Fixed most comments in https://reviews.facebook.net/D15429.
      Still have some remaining comments left.
      
      Test Plan: make all check
      
      Reviewers: sdong, haobo
      
      Reviewed By: haobo
      
      CC: leveldb
      
      Differential Revision: https://reviews.facebook.net/D15885
      b2e7ee8b
    • K
      Put *.out to the ignore list (for MacOS) · 85c0545f
      Kai Liu 提交于
      85c0545f
    • K
      Benchmark table reader wiht nanoseconds · 59cffe02
      Kai Liu 提交于
      Summary: nanosecnods gave us better view of the performance, especially when some operations are fast so that micro seconds may only reveal less informative results.
      
      Test Plan:
      sample output:
      
          ./table_reader_bench --plain_table --time_unit=nanosecond
          =======================================================================================================
          InMemoryTableSimpleBenchmark:           PlainTable   num_key1:   4096   num_key2:   512   non_empty
          =======================================================================================================
          Histogram (unit: nanosecond):
          Count: 6291456  Average: 475.3867  StdDev: 556.05
          Min: 135.0000  Median: 400.1817  Max: 33370.0000
          Percentiles: P50: 400.18 P75: 530.02 P99: 887.73 P99.9: 8843.26 P99.99: 9941.21
          ------------------------------------------------------
          [     120,     140 )        2   0.000%   0.000%
          [     140,     160 )      452   0.007%   0.007%
          [     160,     180 )    13683   0.217%   0.225%
          [     180,     200 )    54353   0.864%   1.089%
          [     200,     250 )   101004   1.605%   2.694%
          [     250,     300 )   729791  11.600%  14.294% ##
          [     300,     350 )   616070   9.792%  24.086% ##
          [     350,     400 )  1628021  25.877%  49.963% #####
          [     400,     450 )   647220  10.287%  60.250% ##
          [     450,     500 )   577206   9.174%  69.424% ##
          [     500,     600 )  1168585  18.574%  87.999% ####
          [     600,     700 )   506875   8.057%  96.055% ##
          [     700,     800 )   147878   2.350%  98.406%
          [     800,     900 )    42633   0.678%  99.083%
          [     900,    1000 )    16304   0.259%  99.342%
          [    1000,    1200 )     7811   0.124%  99.466%
          [    1200,    1400 )     1453   0.023%  99.490%
          [    1400,    1600 )      307   0.005%  99.494%
          [    1600,    1800 )       81   0.001%  99.496%
          [    1800,    2000 )       18   0.000%  99.496%
          [    2000,    2500 )        8   0.000%  99.496%
          [    2500,    3000 )        6   0.000%  99.496%
          [    3500,    4000 )        3   0.000%  99.496%
          [    4000,    4500 )      116   0.002%  99.498%
          [    4500,    5000 )     1144   0.018%  99.516%
          [    5000,    6000 )     1087   0.017%  99.534%
          [    6000,    7000 )     2403   0.038%  99.572%
          [    7000,    8000 )     9840   0.156%  99.728%
          [    8000,    9000 )    12820   0.204%  99.932%
          [    9000,   10000 )     3881   0.062%  99.994%
          [   10000,   12000 )      135   0.002%  99.996%
          [   12000,   14000 )      159   0.003%  99.998%
          [   14000,   16000 )       58   0.001%  99.999%
          [   16000,   18000 )       30   0.000% 100.000%
          [   18000,   20000 )       14   0.000% 100.000%
          [   20000,   25000 )        2   0.000% 100.000%
          [   25000,   30000 )        2   0.000% 100.000%
          [   30000,   35000 )        1   0.000% 100.000%
      
      Reviewers: haobo, dhruba, sdong
      
      CC: leveldb
      
      Differential Revision: https://reviews.facebook.net/D16113
      59cffe02
  9. 13 2月, 2014 4 次提交