Pros of go-mysql-elasticsearch

• Specialized for MySQL to Elasticsearch synchronization
• Supports real-time data replication
• Offers flexible configuration options for mapping MySQL data to Elasticsearch

Cons of go-mysql-elasticsearch

• Limited to MySQL and Elasticsearch integration
• May require additional setup for complex data transformations
• Less suitable for general-purpose database proxy use cases

Code Comparison

kingshard:

type Schema struct {
    db    string
    table string
    nodes []string
}

go-mysql-elasticsearch:

type Config struct {
    MyAddr     string `toml:"my_addr"`
    MyUser     string `toml:"my_user"`
    MyPassword string `toml:"my_pass"`
    MyCharset  string `toml:"my_charset"`

    ESAddr string `toml:"es_addr"`

    ServerID uint32 `toml:"server_id"`
    Flavor   string `toml:"flavor"`
    DataDir  string `toml:"data_dir"`
}

Key Differences

• kingshard is a MySQL proxy for sharding and read/write splitting
• go-mysql-elasticsearch focuses on MySQL to Elasticsearch data synchronization
• kingshard offers more general database management features
• go-mysql-elasticsearch provides specialized Elasticsearch integration

Both projects are written in Go and cater to MySQL-related use cases, but they serve different primary purposes within database ecosystems.

Pros of ledisdb

• Multi-model database supporting Redis, LevelDB, and RocksDB backends
• Supports advanced data structures like ZSet, Hash, and List
• Offers persistence and replication features

Cons of ledisdb

• Limited sharding capabilities compared to kingshard
• May have higher memory usage due to supporting multiple data models
• Less focused on MySQL-specific optimizations

Code Comparison

ledisdb:

db, err := ledis.Open(cfg)
if err != nil {
    panic(err)
}
defer db.Close()

kingshard:

cfg, err := config.ParseConfigFile(*configFile)
if err != nil {
    panic(err)
}
proxy := server.NewServer(cfg)

Key Differences

1. Purpose: ledisdb is a multi-model database, while kingshard is a MySQL proxy and sharding solution.
2. Data Models: ledisdb supports various data structures, kingshard focuses on relational data.
3. Sharding: kingshard provides more advanced sharding capabilities for MySQL.
4. Language: Both are written in Go, but have different focuses and use cases.
5. Performance: kingshard may offer better performance for MySQL-specific operations, while ledisdb provides flexibility across different data models.

Pros of go-mysql-org/go-mysql

• Comprehensive MySQL Client Library: go-mysql-org/go-mysql provides a comprehensive MySQL client library, allowing developers to interact with MySQL databases using idiomatic Go code.
• Replication Support: The library includes support for MySQL replication, enabling developers to build applications that can consume and process data from MySQL replicas.
• Flexible API: The API of go-mysql-org/go-mysql is designed to be flexible and easy to use, making it a suitable choice for a wide range of MySQL-related projects.

Cons of go-mysql-org/go-mysql

• Limited Documentation: Compared to flike/kingshard, the documentation for go-mysql-org/go-mysql may be less comprehensive, making it more challenging for new users to get started.
• Fewer Features: While go-mysql-org/go-mysql is a powerful MySQL client library, it may not offer the same level of advanced features and functionality as flike/kingshard, which is designed as a MySQL proxy.
• Potential Performance Overhead: As a client library, go-mysql-org/go-mysql may have slightly higher performance overhead compared to a proxy-based solution like flike/kingshard, especially for high-throughput applications.

Code Comparison

Here's a brief code comparison between go-mysql-org/go-mysql and flike/kingshard:

go-mysql-org/go-mysql (establishing a connection):

db, err := sql.Open("mysql", "user:password@tcp(127.0.0.1:3306)/database")
if err != nil {
    // handle error
}
defer db.Close()

flike/kingshard (configuring a proxy):

# kingshard.yml
name: test
addr: 0.0.0.0:3306
user: root
password: root
nodes:
  - name: node1
    address: 127.0.0.1:3306
    user: root
    password: root
    database: test