This tool provides a solution for automatically converting multiple database SQL into Go struct code, and supports major databases such as MySQL, PostgreSQL, and Oracle. This tool automatically parses annotations and accurately filters fields. It aims to simplify the generation process of Go struct, significantly improve work efficiency, and help developers quickly generate and maintain high-quality data models.
使用说明
feature introduction
- Table creation sql to struct supporting multiple databases, including (pg, oracle, mysql) and other databases; table-building statements, table-building statements, table-building statements(important statements are said 3 times)
- When converting sql, you need to confirm whether you need to switch the processing type. Three processing methods are temporarily supported (normal, postgresql, oracle). Default: normal.
- Support custom filtering of unwanted fields. Multiple fields are separated by ,.
Note: cannot include comments in sql(that is,--xxxor# xxx), because this tool divides statement processing through ;. Therefore, multiple table creation statements can be processed at the same time in normal, postgresql and oracle only support a single table creation statement because they need to parse comments.
example
mysql table statement
CREATE TABLE if not exists user (
id int NOT NULL AUTO_INCREMENT,
name varchar(10) NOT NULL COMMENT 'name ',
gender tinyint NOT NULL DEFAULT 0 COMMENT 'Gender 0 -unknown 1 -male 2 -female ',
age int NOT NULL COMMENT 'age ',
created_date datetime DEFAULT CURRENT_TIMESTAMP,
updated_date datetime DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
PRIMARY KEY (id)
);
After treatment
type UserInfo struct {
Id int32 `json: "id,omitempty"`
Name string `json: "name,omitempty"` // name
Gender int8 `json: "gender,omitempty"` // gender 0-unknown 1-male 2-female
Age int32 `json: "age,omitempty"` // Age
CreatedDate string `json: "created_date,omitempty"`
UpdatedDate string `json: "updated_date,omitempty"`
}
pgsql table statement
CREATE TABLE if not exists user (
id character varying (32) NOT NULL DEFAULT sys_guid ()
name character varying (10) NOT NULL
gender tinyint NOT NULL
age tinyint NOT NULL
created_date timestamp without time zone DEFAULT now ()
updated_date timestamp without time zone DEFAULT now ()
CONSTRAINT user_pkey PRIMARY KEY (id)
);
COMMENT ON TABLE user IS 'user Table'
COMMENT ON COLUMN user.id IS 'primary key'
COMMENT ON COLUMN user.name IS 'name'
COMMENT ON COLUMN user.gender IS 'Sex 0-unknown 1-male 2-female'
COMMENT ON COLUMN user.age IS 'age'
COMMENT ON COLUMN user.created_date IS 'creation time'
COMMENT ON COLUMN user.updated_date IS 'update time'
After treatment
type UserInfo struct {
Id int32 `json: "id,omitempty"`
Name string `json: "name,omitempty"` // name
Gender int8 `json: "gender,omitempty"` // gender 0-unknown 1-male 2-female
Age int32 `json: "age,omitempty"` // Age
CreatedDate string `json: "created_date,omitempty"`
UpdatedDate string `json: "updated_date,omitempty"`
}
oracle table statement
CREATE TABLE if not exists user (
id character varying (32) NOT NULL DEFAULT sys_guid ()
name character varying (10) NOT NULL
gender tinyint NOT NULL
age tinyint NOT NULL
created_date timestamp without time zone DEFAULT now ()
updated_date timestamp without time zone DEFAULT now ()
CONSTRAINT user_pkey PRIMARY KEY (id)
);
COMMENT ON TABLE user IS 'user Table'
COMMENT ON COLUMN user.id IS 'primary key'
COMMENT ON COLUMN user.name IS 'name'
COMMENT ON COLUMN user.gender IS 'Sex 0-unknown 1-male 2-female'
COMMENT ON COLUMN user.age IS 'age'
COMMENT ON COLUMN user.created_date IS 'creation time'
COMMENT ON COLUMN user.updated_date IS 'update time'
After treatment
type UserInfo struct {
Id int32 `json: "id,omitempty"`
Name string `json: "name,omitempty"` // name
Gender int8 `json: "gender,omitempty"` // gender 0-unknown 1-male 2-female
Age int32 `json: "age,omitempty"` // Age
CreatedDate string `json: "created_date,omitempty"`
UpdatedDate string `json: "updated_date,omitempty"`
}