Summary:
The way DBImpl::TEST_CompactRange() throttles down the number of bg compactions
can cause it to deadlock when CompactRange() is called concurrently from
multiple threads. Imagine a following scenario with only two threads
(max_background_compactions is 10 and bg_compaction_scheduled_ is initially 0):

   1. Thread #1 increments bg_compaction_scheduled_ (to LargeNumber), sets
      bg_compaction_scheduled_ to 9 (newvalue), schedules the compaction
      (bg_compaction_scheduled_ is now 10) and waits for it to complete.
   2. Thread #2 calls TEST_CompactRange(), increments bg_compaction_scheduled_
      (now LargeNumber + 10) and waits on a cv for bg_compaction_scheduled_ to
      drop to LargeNumber.
   3. BG thread completes the first manual compaction, decrements
      bg_compaction_scheduled_ and wakes up all threads waiting on bg_cv_.
      Thread #1 runs, increments bg_compaction_scheduled_ by LargeNumber again
      (now 2*LargeNumber + 9). Since that's more than LargeNumber + newvalue,
      thread #2 also goes to sleep (waiting on bg_cv_), without resetting
      bg_compaction_scheduled_.

This diff attempts to address the problem by introducing a new counter
bg_manual_only_ (when positive, MaybeScheduleFlushOrCompaction() will only
schedule manual compactions).

Test Plan:
I could pretty much consistently reproduce the deadlock with a program that
calls CompactRange(nullptr, nullptr) immediately after Write() from multiple
threads. This no longer happens with this patch.

Tests (make check) pass.

Reviewers: dhruba, igor, sdong, haobo

Reviewed By: igor

CC: leveldb

Differential Revision: https://reviews.facebook.net/D14799

Refactor build_tools/build_detect_version

Summary:
The rule file is forked from that in Facebook's repo.

I'll add format file for now and team members can tune the rules later.

In this patch, I made only two changes in order to be consistent with existing coding style

`SpacesBeforeTrailingComments: 2`

`ColumnLimit:     80`

Test Plan: N/A

Reviewers: igor

CC: leveldb

Differential Revision: https://reviews.facebook.net/D15015

Summary: Added a script that prepares the repo for facebook's new rocksdb release, which will automatically do some necessary work to make sure this repo is ready for 3rdparty release.

Test Plan:
Run this script and observed:

* new version was created (both in local and remote repo) as a git tag.
* build_version.cc was updated
* build_detect_platform was changed so that it won't create any new change.

Reviewers: haobo, dhruba, sdong, igor

CC: leveldb

Differential Revision: https://reviews.facebook.net/D15003

Forgot to fix this problem in master branch. Already fixed it in performance branch.

Summary:
We don't want two threads to clash if they concurrently call DisableFileDeletions() and EnableFileDeletions(). I'm adding a counter that will enable file deletions only after all DisableFileDeletions() calls have been negated with EnableFileDeletions().

However, we also don't want to break the old behavior, so I added a parameter force to EnableFileDeletions(). If force is true, we will still enable file deletions after every call to EnableFileDeletions(), which is what is happening now.

Test Plan: make check

Reviewers: dhruba, haobo, sanketh

Reviewed By: dhruba

CC: leveldb

Differential Revision: https://reviews.facebook.net/D14781

fix build bug

Update the latest version number.

fix build bug from recent commit:https://github.com/facebook/rocksdb/commit/43c386b72ee834c88a1a22500ce1fc36a8208277

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

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

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

Only try to use fallocate if it's actually present on the system.

Summary:
Add a pointer to the engineering design discussion forum.

Test Plan:

Reviewers:

CC:

Task ID: #

Blame Rev:

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

fix missing gflags library

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

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

Remove utilities/.DS_Store file.

C bindings: add a bunch of the newer options

Summary: I realized that "D14409 Avoid sorting in Version::Get() by presorting them in VersionSet::Builder::SaveTo()" is not done in an optimized place. SaveTo() is usually inside mutex. Move it to Finalize(), which is called out of mutex.

Test Plan: make all check

Reviewers: dhruba, haobo, kailiu

Reviewed By: dhruba

CC: igor, leveldb

Differential Revision: https://reviews.facebook.net/D14607

Summary: It seems to be a decision tradeoff in current codes: we make a malloc for every Get() to reduce one malloc for a flush inside mutex. It takes about 5% of CPU time in readrandom tests. We might consider the tradeoff to be the other way around.

Test Plan: make all check

Reviewers: dhruba, haobo, igor

Reviewed By: dhruba

CC: leveldb

Differential Revision: https://reviews.facebook.net/D14697

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

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