Summary:
Replacement of #2147
The change was squashed due to a lot of conflicts.
Closes https://github.com/facebook/rocksdb/pull/2194
Differential Revision: D4929799
Pulled By: siying
fbshipit-source-id: 5cd49c254737a1d5ac13f3c035f128e86524c581
Summary:
Move some files under util/ to new directories env/, monitoring/ options/ and cache/
Closes https://github.com/facebook/rocksdb/pull/2090
Differential Revision: D4833681
Pulled By: siying
fbshipit-source-id: 2fd8bef
Summary:
There still are many warnings (most of them about invalid printf format
for long long), but it builds if FAIL_ON_WARNINGS is disabled.
Closes https://github.com/facebook/rocksdb/pull/2052
Differential Revision: D4807355
Pulled By: siying
fbshipit-source-id: ef03786
Summary:
introduce new methods into a public threadpool interface,
- allow submission of std::functions as they allow greater flexibility.
- add Joining methods to the implementation to join scheduled and submitted jobs with
an option to cancel jobs that did not start executing.
- Remove ugly `#ifdefs` between pthread and std implementation, make it uniform.
- introduce pimpl for a drop in replacement of the implementation
- Introduce rocksdb::port::Thread typedef which is a replacement for std::thread. On Posix Thread defaults as before std::thread.
- Implement WindowsThread that allocates memory in a more controllable manner than windows std::thread with a replaceable implementation.
- should be no functionality changes.
Closes https://github.com/facebook/rocksdb/pull/1823
Differential Revision: D4492902
Pulled By: siying
fbshipit-source-id: c74cb11
Summary:
In persistent_cache/block_cache_tier.cc, timers are never restarted, so the latency measured is not correct.
Closes https://github.com/facebook/rocksdb/pull/1707
Differential Revision: D4355828
Pulled By: siying
fbshipit-source-id: cd5f9e1
Summary:
Fixes compile error:
In file included from ./util/statistics.h:17:0,
from ./util/stop_watch.h:8,
from ./util/perf_step_timer.h:9,
from ./util/iostats_context_imp.h:8,
from ./util/posix_logger.h:27,
from ./port/util_logger.h:18,
from ./db/auto_roll_logger.h:15,
from db/auto_roll_logger.cc:6:
./util/thread_local.h:65:16: error: 'function' in namespace 'std' does not name a template type
typedef std::function<void(void*, void*)> FoldFunc;
Closes https://github.com/facebook/rocksdb/pull/1656
Differential Revision: D4318702
Pulled By: yiwu-arbug
fbshipit-source-id: 8c5d17a
Summary:
The two tests keep failing in travis. Disable them and will fix later.
Closes https://github.com/facebook/rocksdb/pull/1648
Differential Revision: D4316389
Pulled By: yiwu-arbug
fbshipit-source-id: 0a370e7
Summary:
The persistent cache is designed to hop over errors and return key not found. So far, it has shown resilience to write errors, encoding errors, data corruption etc. It is not resilient against disappearing files/directories. This was exposed during testing when multiple instances of persistence cache was started sharing the same directory simulating an unpredictable filesystem environment.
This patch
- makes the write code path more resilient to errors while creating files
- makes the read code path more resilient to handle situation where files are not found
- added a test that does negative write/read testing by removing the directory while writes are in progress
Closes https://github.com/facebook/rocksdb/pull/1472
Differential Revision: D4143413
Pulled By: kradhakrishnan
fbshipit-source-id: fd25e9b
Summary:
Exposing persistent cache stats (counters) to the user via public API.
Closes https://github.com/facebook/rocksdb/pull/1485
Differential Revision: D4155274
Pulled By: siying
fbshipit-source-id: 30a9f50
Summary:
The general convention in RocksDB is to use GFLAGS instead of google. Fixing the anomaly.
Closes https://github.com/facebook/rocksdb/pull/1470
Differential Revision: D4149213
Pulled By: kradhakrishnan
fbshipit-source-id: 2dafa53
Summary:
Currently there is no mechanism to create persistent cache from
headers. Adding a simple factory method to create a simple persistent cache with
default or NVM optimized settings.
note: Any idea to test this factory is appreciated.
Test Plan: None
Reviewers: sdong
Subscribers: andrewkr, dhruba, leveldb
Differential Revision: https://reviews.facebook.net/D64527
* enable cmake to work on linux and osx also
* port part of build_detect_platform not covered by thirdparty.inc
to cmake.
- detect fallocate()
- detect malloc_usable_size()
- detect JeMalloc
- detect snappy
* check for asan,tsan,ubsan
* create 'build_version.cc' in build directory.
* add `check` target to support 'make check'.
* add `tools` target to match its counterpart in Makefile.
* use `date` on non-win32 platforms.
* pass different cflags on non-win32 platforms
* detect pthead library using FindThread cmake module.
* enable CMP0042 to silence the cmake warning on osx
* reorder the linked libraries. because testutillib references gtest, to
enable the linker to find the referenced symbols, we need to put gtest
after testutillib.
Signed-off-by: Marcus Watts <mwatts@redhat.com>
Signed-off-by: Kefu Chai <kchai@redhat.com>
* hash_table_bench.cc: fix build without gflags
Signed-off-by: Kefu Chai <kchai@redhat.com>
* remove gtest from librocksdb linkage
testharness.cc is included in librocksdb sources, and it uses gtest. but
gtest is not supposed to be part of the public API of librocksdb. so, in
this change, the testharness.cc is moved out out librocksdb, and is
built as an object target, then linked with the tools and tests instead.
Signed-off-by: Marcus Watts <mwatts@redhat.com>
Signed-off-by: Kefu Chai <kchai@redhat.com>
Summary:
Travis times out with persistent_cache_test, there is no way to increase the
timeout, so lower the test case for Travis
Test Plan: Run on travis and sandcastle
Subscribers: leveldb, dhruba, andrewkr
Differential Revision: https://reviews.facebook.net/D61863
Summary:
Travis provides a very low capability resource for testing and the
persistent cache tests are too aggressive. It causes the kernel to not have
enough time to do file-system meta data sync operation, causing open file
descriptors to increase and available space to decrease.
This change skips certain tests
Test Plan: Run on travis
Subscribers: leveldb, dhruba, andrewkr
Differential Revision: https://reviews.facebook.net/D61755
Summary: Fix failed persistent cache test introduced by recent PR to support cross-platform build.
Test Plan: Run persistent_cache_test (on multiple platforms)
Reviewers: sdong
Reviewed By: sdong
Subscribers: andrewkr, dhruba, leveldb
Differential Revision: https://reviews.facebook.net/D61467
Summary: Regex support for c++ is very inconsistent across compilers, converting
the logic to simple string manipulation.
Test Plan: Local test
Subscribers: andrewkr, dhruba, leveldb
Differential Revision: https://reviews.facebook.net/D61377
Summary:
Fixing build break on Mac
(1) uint64_t fix
(2) O_DIRECT works only for Linux
Test Plan: Build and test on Mac and Unix
Subscribers: andrewkr, dhruba, leveldb
Differential Revision: https://reviews.facebook.net/D61353
Summary:
The patch is a continuation of part 5. It glues the abstraction for
file layout and metadata, and flush out the implementation of the API. It
adds unit tests for the implementation.
Test Plan: Run unit tests
Subscribers: andrewkr, dhruba, leveldb
Differential Revision: https://reviews.facebook.net/D57549
Summary:
(1) Integer size correction (mac build break)
(2) snprint usage in Windows (windows build break)
Test Plan: Build in windows and mac
Reviewers: sdong
Subscribers: andrewkr, dhruba
Differential Revision: https://reviews.facebook.net/D60927
Summary:
Persistent cache tier is the tier abstraction that can work for any block
device based device mounted on a file system. The design/implementation can
handle any generic block device.
Any generic block support is achieved by generalizing the access patten as
{io-size, q-depth, direct-io/buffered}.
We have specifically tested and adapted the IO path for NVM and SSD.
Persistent cache tier consists of there parts :
1) File layout
Provides the implementation for handling IO path for reading and writing data
(key/value pair).
2) Meta-data
Provides the implementation for handling the index for persistent read cache.
3) Implementation
It binds (1) and (2) and flushed out the PersistentCacheTier interface
This patch provides implementation for (1)(2). Follow up patch will provide (3)
and tests.
Test Plan: Compile and run check
Subscribers: andrewkr, dhruba, leveldb
Differential Revision: https://reviews.facebook.net/D57117
Summary:
The tsan error was because the random implementation we have is not
thread safe, using Random::GetTLSInstance
Test Plan: Run tests in Linux
Reviewers: sdong
Subscribers: andrewkr, dhruba, leveldb
Differential Revision: https://reviews.facebook.net/D59559
Summary: Enabled build in Windows and corresponding fixes
Test Plan:
Compile and run persistent_cache_test in Windows and make check in
Linux
Reviewers: sdong
Subscribers: andrewkr, dhruba, leveldb
Differential Revision: https://reviews.facebook.net/D59307
Summary:
PersistentCacheOptions class in persistent_cache_tier.h is not used any where yet in the code base
but it break the unity build because it have the same name as PersistentCacheOptions in table/persistent_cache_helper.h
Remove it temporarily, and the @krad can add it again with a different name when we start using it
Test Plan:
make unity_test -j64
make check -j64
Reviewers: kradhakrishnan, sdong
Reviewed By: sdong
Subscribers: andrewkr, dhruba
Differential Revision: https://reviews.facebook.net/D59349
Summary: Disable the test under TSAN temporary to temporarily the build
Test Plan: run the test under TSAN
Reviewers: kradhakrishnan, andrewkr, sdong
Reviewed By: sdong
Subscribers: andrewkr, dhruba
Differential Revision: https://reviews.facebook.net/D59337
Summary:
This provides provides an implementation of PersistentCacheTier that is
specialized for RAM. This tier does not persist data though.
Why do we need this tier ?
This is ideal as tier 0. This tier can host data that is too hot.
Why can't we use Cache variants ?
Yes you can use them instead. This tier can potentially outperform BlockCache
in RAW mode by virtue of compression and compressed cache in block cache doesn't
seem very popular. Potentially this tier can be modified to under stand the
disadvantage of the tier below and retain data that the tier below is bad at
handling (for example index and bloom data that is huge in size)
Test Plan: Run unit tests added
Subscribers: andrewkr, dhruba, leveldb
Differential Revision: https://reviews.facebook.net/D57069
Summary:
Fix 2 issues that was breaking Windows build
1) double to size_t potential downcast warning
2) port_posix is not ready for windows, avoiding building hash_table_bench to
avoid build break
Test Plan: compile in Windoes and make check
Reviewers: sdong, andrewkr
Subscribers: andrewkr, dhruba, leveldb
Differential Revision: https://reviews.facebook.net/D59265
Summary:
This diff provides the basic interface definitions of persistent read
cache system
PersistentCacheOptions captures the persistent read cache options used to
configure and control the system
PersistentCacheTier provides the basic building block for constructing tiered
cache
PersistentTieredCache provides a logical abstraction of tiers of cache layered
over one another
Test Plan: Compile
Reviewers: sdong
Subscribers: andrewkr, dhruba, leveldb
Differential Revision: https://reviews.facebook.net/D57051
Summary: Add hash table (under persistent cache) to CMake list
Test Plan: Run hash_test in windows and make check in Linux
Reviewers: sdong
Subscribers: andrewkr, dhruba, leveldb
Differential Revision: https://reviews.facebook.net/D59151
Summary:
Persistent read cache isn't very applicable for lite builds. Wrapping
the code with #ifndef ROCKSDB_LITE .. #endif
Test Plan: Run unit, lite, lite_test
Reviewers: sdong
Subscribers: andrewkr, dhruba, leveldb
Differential Revision: https://reviews.facebook.net/D58563
Summary:
We expect the persistent read cache to perform at speeds upto 8 GB/s. In order
to accomplish that, we need build a index mechanism which operate in the order
of multiple millions per sec rate.
This patch provide the basic data structure to accomplish that:
(1) Hash table implementation with lock contention spread
It is based on the StripedHashSet<T> implementation in
The Art of multiprocessor programming by Maurice Henry & Nir Shavit
(2) LRU implementation
Place holder algorithm for further optimizing
(3) Evictable Hash Table implementation
Building block for building index data structure that evicts data like files
etc
TODO:
(1) Figure if the sharded hash table and LRU can be used instead
(2) Figure if we need to support configurable eviction algorithm for
EvictableHashTable
Test Plan: Run unit tests
Subscribers: andrewkr, dhruba, leveldb
Differential Revision: https://reviews.facebook.net/D55785
