Summary:
In order to make valgrind check test to pass in a day, remove some tests that run prohibitively slow under valgrind.
Closes https://github.com/facebook/rocksdb/pull/3924
Differential Revision: D8210184
Pulled By: siying
fbshipit-source-id: 5b06fb08f3cf57571d422d05a0dbddc9f9376f7a
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:
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:
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
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:
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:
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: 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
Siying Dong