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
krad