16 unstable releases (3 breaking)
0.4.6 | Apr 21, 2022 |
---|---|
0.4.5 | Dec 21, 2021 |
0.3.1 | Dec 20, 2021 |
0.2.4 | Dec 6, 2021 |
0.1.4 | Dec 1, 2021 |
#364 in Compression
35 downloads per month
42KB
891 lines
tiny-lsm
Super simple in-memory blocking LSM for constant-size keys and values.
Despite being single-threaded and blocking, this is still capable of outperforming a wide range of other storage systems.
This is a great choice when you:
- want to fit the whole data set in-memory
- can model your keys and values in a bounded number of bytes
Tested with fuzzcheck, and the API and internals are intentionally being kept minimal to reduce bugs and improve performance for the use cases that this works well for.
Pairs extremely well with the zerocopy crate for viewing the fixed size byte arrays as typed data without paying expensive deserialization costs.
lib.rs
:
tiny-lsm
is a dead-simple in-memory LSM for managing
fixed-size metadata in more complex systems.
Uses crc32fast to checksum all key-value pairs in the log and sstables. Uses zstd to compress all sstables. Performs sstable compaction in the background.
Because the data is in-memory, there is no need to put bloom filters on the sstables, and read operations cannot fail due to IO issues.
Lsm
implements Deref<Target=BTreeMap<[u8; K], [u8; V]>>
to immutably access the data directly without any IO or
blocking.
Lsm::insert
writes all data into a 32-kb BufWriter
in front of a log file, so it will block for very
short periods of time here and there. SST compaction
is handled completely in the background.
This is a bad choice for large data sets if you require quick recovery time because it needs to read all of the sstables and the write ahead log when starting up.
The benefit to using tiered sstables at all, despite being in-memory, is that they act as an effective log-deduplication mechanism, keeping space amplification very low.
Maximum throughput is not the goal of this project. Low space amplification and very simple code is the goal, because this is intended to maintain metadata in more complex systems.
There is currently no compaction throttling. You can play
with the Config
options around compaction to change compaction
characteristics.
Never change the constant size of keys or values for an existing database.
Examples
// open up the LSM
let mut lsm = tiny_lsm::Lsm::recover("path/to/base/dir").expect("recover lsm");
// store some things
let key: [u8; 8] = 8_u64.to_le_bytes();
let value: [u8; 1] = 255_u8.to_le_bytes();
lsm.insert(key, value);
assert_eq!(lsm.get(&key), Some(&value));
Dependencies
~3.5MB
~59K SLoC