LedisDB is a NoSQL database written in Go. It is similar to Redis and implements redis protocol. It can be used as a replacement of Redis. However, it uses RocksDB, LevelDB or goleveldb as storage engine. Therefore, unlike Redis, the storage is not limited by memory. The name LedisDB comes from Level-Redis-DB.
In 2014, Chinese programmer Siddon Tang was developing an application which depended on Redis heavily. He noticed that as the number of users of the application increases, the memory size is not enough for Redis. He found that SSDB could solve the problem. However, because of the three reasons below, he wanted to develop a database similar to SSDB using Go:
Now, Siddon Tang is the Chief Engineer of PingCAP. He works on TiDB and TiKV. But LedisDB is still under his maintenance.
Custom API HTTP / REST Command-line / Shell
LedisDB can be embedded in Go programs and programs can use its API to perform queries. LedisDB also provides a query interface in redis protocol called RESP(REdis Serialization Protocol), and can be queried via redis-cli. LedisDB has HTTP API support, too.
There is no concurrency control protocol in LedisDB because it does not support transactions. Like Redis, LedisDB processes requests as command sequences. Each command is treated as a single atomic operation. However, LedisDB does not provide any mechanism to combine commands into transactions.
LedisDB uses RocksDB, LevelDB or goleveldb as storage engine and thus inherits their logging mechanisms. They log all
As a key/value store, no join feature is provided in LedisDB.
N-ary Storage Model (Row/Record)
LedisDB uses RocksDB, LevelDB or goleveldb as storage engine and thus inherits their storage model. Data are stored in the form of ordered key-value pairs.
LedisDB uses iterators in query processing.
LedisDB does not support stored procedures, but like Redis, it provides the capability to evaluate scripts using the bulit-in Lua interpreter. Scripts will be cached by LedisDB and can be invoked from the cache later. However, they are just cached rather than stored.
Skip List Log-Structured Merge Tree
LedisDB does not make its own indexes, it just uses underlying storage engines' index data structure, which is the Log-Structured Merge Tree. They also use Skip List in the MemTable part.
Disk-oriented In-Memory Hybrid
LedisDB uses RocksDB, LevelDB or goleveldb as storage engine and thus inherits their storage architecture. It also provides an option to use memory-backed storage (via goleveldb).
Non-Blocking Consistent Blocking
LedisDB provides two command line tool: ledis-dump and ledis-load, for taking a checkpoint and restoring from a checkpoint, which depends on storage engine's mechanism. LedisDB also uses that internally for synchronization between master and replica. No other ways to access the checkpoint mechanism found.
LedisDB is a key/value store but has rich data structures. In addition to simple key/value pair, it provides Hash, List, Set, ZSet. ZSets are sorted sets in Redis, every element in a sorted set is also associated with a floating point value, called the score. They are ordered by score and use their own value to break the tie.
LedisDB can be embedded in Go programs.
It can also be used as an independent server.
Multiple LedisDB nodes and coordinator nodes can form a cluster with partition and Master-Replica replication.
Each server does not share anything with others and only communicates with each other through the network connection.
LedisDB provides a
SLAVEOF command thus a LedisDB server can be configured as a master node or a replica of some master node on the fly.
It also provides a
PING command for checking whether a server is alive. LedisDB cluster needs a group of dedicated coordinators (redis-failover)
that use this two commands to monitor and manage the Master-Replica groups.
To support partition, another group of coordinators (xcodis) is needed, which serve as proxies that dispatch requests to different Master-Replica groups based on partition.
Unfortunately, in GitHub issue, the developer states that he will not maintain this part anymore, because he does not have enough time.
For more detail, you can see this article about LedisDB cluster written by the developer.
Dictionary Encoding Naïve (Page-Level)
Compression is disabled by default. The compression feature of the storage engine can be enabled via configuration. Data and index blocks are compressed individually. User can choose from a list of supported compression algorithms, like LZ4 and Snappy. User can choose to use Dictionary Compression, too. Data are decompressed when LedisDB retrieves them from the underlying storage engine.
LedisDB uses RocksDB, LevelDB or goleveldb as storage engine. Therefore, it inherits their Log-structured storage organization.