Summary:
Right now, when the option migration tool migrates to FIFO compaction, it compacts all the data into one single SST file and move to L0. Although it creates a valid LSM-tree for FIFO, for any data to be deleted for FIFO, the giant file will be deleted, which might make the DB almost empty. There is not good solution for it, because usually we don't have enough information to reconstruct the FIFO LSM-tree. This change changes to a solution that compromises the FIFO condition. We hope the solution is more useable.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10600
Test Plan: Add unit tests for that.
Reviewed By: jay-zhuang
Differential Revision: D39106424
fbshipit-source-id: bdfd852c3b343373765b8d9716fefc08fd27145c
* Revert to using the default metadata charge policy when creating an LRU cache via the Java API.
### Behavior Change
* Right now, when the option migration tool (OptionChangeMigration()) migrates to FIFO compaction, it compacts all the data into one single SST file and move to L0. This might create a problem for some users: the giant file may be soon deleted to satisfy max_table_files_size, and might cayse the DB to be almost empty. We change the behavior so that the files are cut to be smaller, but these files might not follow the data insertion order. With the change, after the migration, migrated data might not be dropped by insertion order by FIFO compaction.
## 7.6.0 (08/19/2022)
### New Features
* Added `prepopulate_blob_cache` to ColumnFamilyOptions. If enabled, prepopulate warm/hot blobs which are already in memory into blob cache at the time of flush. On a flush, the blob that is in memory (in memtables) get flushed to the device. If using Direct IO, additional IO is incurred to read this blob back into memory again, which is avoided by enabling this option. This further helps if the workload exhibits high temporal locality, where most of the reads go to recently written data. This also helps in case of the remote file system since it involves network traffic and higher latencies.