发布于 2017-03-26 00:47:49 | 162 次阅读 | 评论: 0 | 来源: 网友投递
RocksDB key-value存储系统
RocksDB 是一个来自 facebook 的可嵌入式的支持持久化的 key-value 存储系统，也可作为 C/S 模式下的存储数据库，但主要目的还是嵌入式。RocksDB 基于 LevelDB 构建。
RocksDB 5.2.1 发布了，
NewLRUCache() will determine number of shard bits automatically based on capacity, if the user doesn't pass one. This also impacts the default block cache when the user doesn't explict provide one.
Change the default of delayed slowdown value to 16MB/s and further increase the L0 stop condition to 36 files.
(Experimental) Two-level indexing that partition the index and creates a 2nd level index on the partitions. The feature can be enabled by setting kTwoLevelIndexSearch as IndexType and configuring index_per_partition.
Added new overloaded function GetApproximateSizes that allows to specify if memtable stats should be computed only without computing SST files' stats approximations.
Added new function GetApproximateMemTableStats that approximates both number of records and size of memtables.
RangeSync() should work if ROCKSDB_FALLOCATE_PRESENT is not set
Fix wrong results in a data race case in Get()
Some fixes related to 2PC.
Fix several bugs in Direct I/O supports.
Fix a regression bug which can cause Seek() to miss some keys if the return key has been updated many times after the snapshot which is used by the iterator.