1. 28 12月, 2013 1 次提交
  2. 27 12月, 2013 7 次提交
    • S
      TableCache.FindTable() to avoid the mem copy of file number · a094f3b3
      Siying Dong 提交于
      Summary: I'm not sure what's the purpose of encoding file number to a new buffer for looking up the table cache. It seems to be unnecessary to me. With this patch, we point the lookup key to the address of the int64 of the file number.
      
      Test Plan: make all check
      
      Reviewers: dhruba, haobo, igor, kailiu
      
      Reviewed By: dhruba
      
      CC: leveldb
      
      Differential Revision: https://reviews.facebook.net/D14811
      a094f3b3
    • S
      Avoid malloc in NotFound key status if no message is given. · 18df47b7
      Siying Dong 提交于
      Summary:
      In some places we have NotFound status created with empty message, but it doesn't avoid a malloc. With this patch, the malloc is avoided for that case.
      
      The motivation of it is that I found in db_bench readrandom test when all keys are not existing, about 4% of the total running time is spent on malloc of Status, plus a similar amount of CPU spent on free of them, which is not necessary.
      
      Test Plan: make all check
      
      Reviewers: dhruba, haobo, igor
      
      Reviewed By: haobo
      
      CC: leveldb
      
      Differential Revision: https://reviews.facebook.net/D14691
      18df47b7
    • K
      Fix all the comparison issue in fb dev servers · b40c052b
      Kai Liu 提交于
      b40c052b
    • K
      Fix [-Werror=sign-compare] in autovector_test · 113a08c9
      kailiu 提交于
      113a08c9
    • K
      Fix the unused variable warning message in mac os · 079a21ba
      kailiu 提交于
      079a21ba
    • K
      Implement autovector · c01676e4
      kailiu 提交于
      Summary:
      A vector that leverages pre-allocated stack-based array to achieve better
      performance for array with small amount of items.
      
      Test Plan:
      Added tests for both correctness and performance
      
      Here is the performance benchmark between vector and autovector
      
      Please note that in the test "Creation and Insertion Test", the test case were designed with the motivation described below:
      
      * no element inserted: internal array of std::vector may not really get
        initialize.
      * one element inserted: internal array of std::vector must have
        initialized.
      * kSize elements inserted. This shows the most time we'll spend if we
        keep everything in stack.
      * 2 * kSize elements inserted. The internal vector of
        autovector must have been initialized.
      
      Note: kSize is the capacity of autovector
      
        =====================================================
        Creation and Insertion Test
        =====================================================
        created 100000 vectors:
        	each was inserted with 0 elements
        	total time elapsed: 128000 (ns)
        created 100000 autovectors:
        	each was inserted with 0 elements
        	total time elapsed: 3641000 (ns)
        created 100000 VectorWithReserveSizes:
        	each was inserted with 0 elements
        	total time elapsed: 9896000 (ns)
        -----------------------------------
        created 100000 vectors:
        	each was inserted with 1 elements
        	total time elapsed: 11089000 (ns)
        created 100000 autovectors:
        	each was inserted with 1 elements
        	total time elapsed: 5008000 (ns)
        created 100000 VectorWithReserveSizes:
        	each was inserted with 1 elements
        	total time elapsed: 24271000 (ns)
        -----------------------------------
        created 100000 vectors:
        	each was inserted with 4 elements
        	total time elapsed: 39369000 (ns)
        created 100000 autovectors:
        	each was inserted with 4 elements
        	total time elapsed: 10121000 (ns)
        created 100000 VectorWithReserveSizes:
        	each was inserted with 4 elements
        	total time elapsed: 28473000 (ns)
        -----------------------------------
        created 100000 vectors:
        	each was inserted with 8 elements
        	total time elapsed: 75013000 (ns)
        created 100000 autovectors:
        	each was inserted with 8 elements
        	total time elapsed: 18237000 (ns)
        created 100000 VectorWithReserveSizes:
        	each was inserted with 8 elements
        	total time elapsed: 42464000 (ns)
        -----------------------------------
        created 100000 vectors:
        	each was inserted with 16 elements
        	total time elapsed: 102319000 (ns)
        created 100000 autovectors:
        	each was inserted with 16 elements
        	total time elapsed: 76724000 (ns)
        created 100000 VectorWithReserveSizes:
        	each was inserted with 16 elements
        	total time elapsed: 68285000 (ns)
        -----------------------------------
        =====================================================
        Sequence Access Test
        =====================================================
        performed 100000 sequence access against vector
        	size: 4
        	total time elapsed: 198000 (ns)
        performed 100000 sequence access against autovector
        	size: 4
        	total time elapsed: 306000 (ns)
        -----------------------------------
        performed 100000 sequence access against vector
        	size: 8
        	total time elapsed: 565000 (ns)
        performed 100000 sequence access against autovector
        	size: 8
        	total time elapsed: 512000 (ns)
        -----------------------------------
        performed 100000 sequence access against vector
        	size: 16
        	total time elapsed: 1076000 (ns)
        performed 100000 sequence access against autovector
        	size: 16
        	total time elapsed: 1070000 (ns)
        -----------------------------------
      
      Reviewers: dhruba, haobo, sdong, chip
      
      Reviewed By: dhruba
      
      CC: leveldb
      
      Differential Revision: https://reviews.facebook.net/D14655
      c01676e4
    • K
      Merge pull request #32 from jamesgolick/master · 5643ae1a
      Kai Liu 提交于
      Only try to use fallocate if it's actually present on the system.
      5643ae1a
  3. 24 12月, 2013 1 次提交
  4. 21 12月, 2013 5 次提交
    • H
      [RocksDB] [Performance Branch] Revert previous patch. · bf4a48cc
      Haobo Xu 提交于
      Summary: The previous patch is wrong. rep_.resize(kHeader) just resets the header portion to zero, and should not cause a re-allocation if g++ does it right. I will go ahead and revert it.
      
      Test Plan: make check
      
      Reviewers: dhruba, sdong
      
      CC: leveldb
      
      Differential Revision: https://reviews.facebook.net/D14793
      bf4a48cc
    • H
      [RocksDB] [Performance Branch] Minor fix, Remove string resize from WriteBatch::Clear · e94eea45
      Haobo Xu 提交于
      Summary: tmp_batch_ will get re-allocated for every merged write batch because of the existing resize in WriteBatch::Clear. Note that in DBImpl::BuildBatchGroup, we have a hard coded upper limit of batch size 1<<20 = 1MB already.
      
      Test Plan: make check
      
      Reviewers: dhruba, sdong
      
      CC: leveldb
      
      Differential Revision: https://reviews.facebook.net/D14787
      e94eea45
    • S
      [RocksDB] [Performance Branch] Some Changes to PlainTable format · abaf2626
      Siying Dong 提交于
      Summary:
      Some changes to PlainTable format:
      (1) support variable key length
      (2) use user defined slice transformer to extract prefixes
      (3) Run some test cases against PlainTable in db_test and table_test
      
      Test Plan: test db_test
      
      Reviewers: haobo, kailiu
      
      CC: dhruba, igor, leveldb, nkg-
      
      Differential Revision: https://reviews.facebook.net/D14457
      abaf2626
    • I
      Initialize sequence number in BatchResult - issue #39 · b26dc956
      Igor Canadi 提交于
      b26dc956
    • I
      [RocksDB] Optimize locking for Get · 1fdb3f7d
      Igor Canadi 提交于
      Summary:
      Instead of locking and saving a DB state, we can cache a DB state and update it only when it changes. This change reduces lock contention and speeds up read operations on the DB.
      
      Performance improvements are substantial, although there is some cost in no-read workloads. I ran the regression tests on my devserver and here are the numbers:
      
        overwrite                    56345  ->   63001
        fillseq                      193730 ->  185296
        readrandom                   771301 -> 1219803 (58% improvement!)
        readrandom_smallblockcache   677609 ->  862850
        readrandom_memtable_sst      710440 -> 1109223
        readrandom_fillunique_random 221589 ->  247869
        memtablefillrandom           105286 ->   92643
        memtablereadrandom           763033 -> 1288862
      
      Test Plan:
      make asan_check
      I am also running db_stress
      
      Reviewers: dhruba, haobo, sdong, kailiu
      
      Reviewed By: haobo
      
      CC: leveldb
      
      Differential Revision: https://reviews.facebook.net/D14679
      1fdb3f7d
  5. 20 12月, 2013 1 次提交
  6. 19 12月, 2013 4 次提交
    • M
      Add 'readtocache' test · ca92068b
      Mark Callaghan 提交于
      Summary:
      For some tests I want to cache the database prior to running other tests on the same invocation
      of db_bench. The readtocache test ignores --threads and --reads so those can be used by other tests
      and it will still do a full read of --num rows with one thread. It might be invoked like:
        db_bench --benchmarks=readtocache,readrandom --reads 100 --num 10000 --threads 8
      
      Task ID: #
      
      Blame Rev:
      
      Test Plan:
      run db_bench
      
      Revert Plan:
      
      Database Impact:
      
      Memcache Impact:
      
      Other Notes:
      
      EImportant:
      
      - begin *PUBLIC* platform impact section -
      Bugzilla: #
      - end platform impact -
      
      Reviewers: dhruba
      
      CC: leveldb
      
      Differential Revision: https://reviews.facebook.net/D14739
      ca92068b
    • I
      Reorder tests · e914b649
      Igor Canadi 提交于
      Summary:
      db_test should be the first to execute because it finds the most bugs.
      
      Also, when third parties report issues, we don't want ldb error message, we prefer to have db_test error message. For example, see thread: https://github.com/facebook/rocksdb/issues/25
      
      Test Plan: make check
      
      Reviewers: dhruba, haobo, kailiu
      
      Reviewed By: dhruba
      
      CC: leveldb
      
      Differential Revision: https://reviews.facebook.net/D14715
      e914b649
    • I
      Merge pull request #35 from zizkovrb/rm-ds_store · cbb8da6f
      Igor Canadi 提交于
      Remove utilities/.DS_Store file.
      cbb8da6f
    • I
      Merge pull request #37 from mlin/more-c-bindings · 3b50b621
      Igor Canadi 提交于
      C bindings: add a bunch of the newer options
      3b50b621
  7. 18 12月, 2013 2 次提交
  8. 17 12月, 2013 1 次提交
  9. 16 12月, 2013 1 次提交
  10. 14 12月, 2013 5 次提交
  11. 13 12月, 2013 8 次提交
    • S
      [Performance Branch] Fix a bug of PlainTable when building indexes · 9718c790
      Siying Dong 提交于
      Summary:
      PlainTable now has a bug of the ordering of indexes for the prefixes in the same bucket. I thought std::map guaranteed key order but it didn't, probably because I didn't use it properly. But seems to me that we don't need to make extra sorting as input prefixes are already sorted. Found by problem by running leaf4 against plain table. Replace the map with a vector. It should performs better too.
      
      After the fix, leaf4 unit tests are passing.
      
      Test Plan:
      run plain_table_db_test
      Also going to run db_test with plain table in the uncommitted branch.
      
      Reviewers: haobo, kailiu
      
      Reviewed By: haobo
      
      CC: nkg-, leveldb
      
      Differential Revision: https://reviews.facebook.net/D14649
      9718c790
    • K
      Completely remove argv_ since no one use it · 0cd1521a
      kailiu 提交于
      There are still warning in some other environment, just move that useless variable `argv_`
      0cd1521a
    • K
      0e24f97b
    • K
      fix a warning in db_test when running `make release` · bc9b488e
      kailiu 提交于
      bc9b488e
    • I
      [backupable db] Delete db_dir children when restoring backup · 417b453f
      Igor Canadi 提交于
      Summary:
      I realized that manifest will get deleted by PurgeObsoleteFiles in DBImpl, but it is sill cleaner to delete
      files before we restore the backup
      
      Test Plan: backupable_db_test
      
      Reviewers: dhruba
      
      Reviewed By: dhruba
      
      CC: leveldb
      
      Differential Revision: https://reviews.facebook.net/D14619
      417b453f
    • M
      Add monitoring for universal compaction and add counters for compaction IO · e9e6b00d
      Mark Callaghan 提交于
      Summary:
      Adds these counters
      { WAL_FILE_SYNCED, "rocksdb.wal.synced" }
        number of writes that request a WAL sync
      { WAL_FILE_BYTES, "rocksdb.wal.bytes" },
        number of bytes written to the WAL
      { WRITE_DONE_BY_SELF, "rocksdb.write.self" },
        number of writes processed by the calling thread
      { WRITE_DONE_BY_OTHER, "rocksdb.write.other" },
        number of writes not processed by the calling thread. Instead these were
        processed by the current holder of the write lock
      { WRITE_WITH_WAL, "rocksdb.write.wal" },
        number of writes that request WAL logging
      { COMPACT_READ_BYTES, "rocksdb.compact.read.bytes" },
        number of bytes read during compaction
      { COMPACT_WRITE_BYTES, "rocksdb.compact.write.bytes" },
        number of bytes written during compaction
      
      Per-interval stats output was updated with WAL stats and correct stats for universal compaction
      including a correct value for write-amplification. It now looks like:
                                     Compactions
      Level  Files Size(MB) Score Time(sec)  Read(MB) Write(MB)    Rn(MB)  Rnp1(MB)  Wnew(MB) RW-Amplify Read(MB/s) Write(MB/s)      Rn     Rnp1     Wnp1     NewW    Count  Ln-stall Stall-cnt
      --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
        0        7      464  46.4       281      3411      3875      3411         0      3875        2.1      12.1        13.8      621        0      240      240      628       0.0         0
      Uptime(secs): 310.8 total, 2.0 interval
      Writes cumulative: 9999999 total, 9999999 batches, 1.0 per batch, 1.22 ingest GB
      WAL cumulative: 9999999 WAL writes, 9999999 WAL syncs, 1.00 writes per sync, 1.22 GB written
      Compaction IO cumulative (GB): 1.22 new, 3.33 read, 3.78 write, 7.12 read+write
      Compaction IO cumulative (MB/sec): 4.0 new, 11.0 read, 12.5 write, 23.4 read+write
      Amplification cumulative: 4.1 write, 6.8 compaction
      Writes interval: 100000 total, 100000 batches, 1.0 per batch, 12.5 ingest MB
      WAL interval: 100000 WAL writes, 100000 WAL syncs, 1.00 writes per sync, 0.01 MB written
      Compaction IO interval (MB): 12.49 new, 14.98 read, 21.50 write, 36.48 read+write
      Compaction IO interval (MB/sec): 6.4 new, 7.6 read, 11.0 write, 18.6 read+write
      Amplification interval: 101.7 write, 102.9 compaction
      Stalls(secs): 142.924 level0_slowdown, 0.000 level0_numfiles, 0.805 memtable_compaction, 0.000 leveln_slowdown
      Stalls(count): 132461 level0_slowdown, 0 level0_numfiles, 3 memtable_compaction, 0 leveln_slowdown
      
      Task ID: #3329644, #3301695
      
      Blame Rev:
      
      Test Plan:
      Revert Plan:
      
      Database Impact:
      
      Memcache Impact:
      
      Other Notes:
      
      EImportant:
      
      - begin *PUBLIC* platform impact section -
      Bugzilla: #
      - end platform impact -
      
      Reviewers: dhruba
      
      CC: leveldb
      
      Differential Revision: https://reviews.facebook.net/D14583
      e9e6b00d
    • S
      [RocksDB Performance Branch] DBImpl.NewInternalIterator() to reduce works inside mutex · e8ab1934
      Siying Dong 提交于
      Summary: To reduce mutex contention caused by DBImpl.NewInternalIterator(), in this function, move all the iteration creation works out of mutex, only leaving object ref and get.
      
      Test Plan:
      make all check
      will run db_stress for a while too to make sure no problem.
      
      Reviewers: haobo, dhruba, kailiu
      
      Reviewed By: haobo
      
      CC: igor, leveldb
      
      Differential Revision: https://reviews.facebook.net/D14589
      e8ab1934
    • I
      portable %lu printing · 249e736b
      Igor Canadi 提交于
      249e736b
  12. 12 12月, 2013 4 次提交