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go-zero/tools/goctl/model/sql/README.MD

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<div style="text-align: center;"><h1>Sql生成工具说明文档</h1></div>
<h2>前言</h2>
在当前Sql代码生成工具是基于sqlc生成的逻辑。
<h2>关键字</h2>
+ 查询类型(前暂不支持同一字段多种类型混合生成如按照campus_id查询单结果又查询All或者Limit)
- 单结果查询
- FindOne(主键特有)
- FindOneByXxx
- 多结果查询
- FindAllByXxx
- FindLimitByXxx
- withCache
- withoutCache
<h2>准备工作</h2>
- table
```
CREATE TABLE `user_info` (
`id` bigint(20) NOT NULL COMMENT '主键',
`campus_id` bigint(20) DEFAULT NULL COMMENT '整校id',
`name` varchar(255) DEFAULT NULL COMMENT '用户姓名',
`id_number` varchar(255) DEFAULT NULL COMMENT '身份证',
`age` int(10) DEFAULT NULL COMMENT '年龄',
`gender` tinyint(1) DEFAULT NULL COMMENT '性别0-男1-女2-不限',
`mobile` varchar(20) DEFAULT NULL COMMENT '手机号',
`create_time` timestamp NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
`update_time` timestamp NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '更新时间',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
```
<h2>imports生成</h2>
imports代码生成对应model中包的引入管理仅使用于晓黑板项目中非相对路径动态生成目前受`withCache`参数的影响,除此之外其实为固定代码。
- withCache
```
import (
"database/sql""fmt"
"strings"
"time"
"github.com/tal-tech/go-zero/core/stores/sqlc"
"github.com/tal-tech/go-zero/core/stores/sqlx"
"github.com/tal-tech/go-zero/core/stringx"
"xiao/service/shared/builderx"
)
```
- withoutCache
```
import (
"database/sql""fmt"
"strings"
"time"
"github.com/tal-tech/go-zero/core/stores/sqlx"
"github.com/tal-tech/go-zero/core/stringx"
"xiao/service/shared/builderx"
)
```
<h2>vars生成</h2>
vars部分对应model中var声明的包含的代码块,由`table`名和`withCache`来决定其中的代码生成内容,`withCache`决定是否要生成缓存key变量的声明。
- withCache
```
var (
UserInfoFieldNames = builderx.FieldNames(&UserInfo{})
UserInfoRows = strings.Join(UserInfoFieldNames, ",")
UserInfoRowsExpectAutoSet = strings.Join(stringx.Remove(UserInfoFieldNames, "id", "create_time", "update_time"), ",")
UserInfoRowsWithPlaceHolder = strings.Join(stringx.Remove(UserInfoFieldNames, "id", "create_time", "update_time"), "=?,") + "=?"
cacheUserInfoIdPrefix = "cache#userInfo#id#"
cacheUserInfoCampusIdPrefix = "cache#userInfo#campusId#"
cacheUserInfoNamePrefix = "cache#userInfo#name#"
cacheUserInfoMobilePrefix = "cache#userInfo#mobile#"
)
```
- withoutCache
```
var (
UserInfoFieldNames = builderx.FieldNames(&UserInfo{})
UserInfoRows = strings.Join(UserInfoFieldNames, ",")
UserInfoRowsExpectAutoSet = strings.Join(stringx.Remove(UserInfoFieldNames, "id", "create_time", "update_time"), ",")
UserInfoRowsWithPlaceHolder = strings.Join(stringx.Remove(UserInfoFieldNames, "id", "create_time", "update_time"), "=?,") + "=?"
)
```
<h2>types生成</h2>
ypes部分对应model中type声明的包含的代码块,由`table`名和`withCache`来决定其中的代码生成内容,`withCache`决定引入sqlc还是sqlx。
- withCache
```
type (
UserInfoModel struct {
conn sqlc.CachedConn
table string
}
UserInfo struct {
Id int64 `db:"id"` // 主键id
CampusId int64 `db:"campus_id"` // 整校id
Name string `db:"name"` // 用户姓名
IdNumber string `db:"id_number"` // 身份证
Age int64 `db:"age"` // 年龄
Gender int64 `db:"gender"` // 性别0-男1-女2-不限
Mobile string `db:"mobile"` // 手机号
CreateTime time.Time `db:"create_time"` // 创建时间
UpdateTime time.Time `db:"update_time"` // 更新时间
}
)
```
- withoutCache
```
type (
UserInfoModel struct {
conn sqlx.SqlConn
table string
}
UserInfo struct {
Id int64 `db:"id"` // 主键id
CampusId int64 `db:"campus_id"` // 整校id
Name string `db:"name"` // 用户姓名
IdNumber string `db:"id_number"` // 身份证
Age int64 `db:"age"` // 年龄
Gender int64 `db:"gender"` // 性别0-男1-女2-不限
Mobile string `db:"mobile"` // 手机号
CreateTime time.Time `db:"create_time"` // 创建时间
UpdateTime time.Time `db:"update_time"` // 更新时间
}
)
```
<h2>New生成</h2>
new生成对应model中struct的New函数受`withCache`影响决定是否要引入cacheRedis
- withCache
```
func NewUserInfoModel(conn sqlx.SqlConn, c cache.CacheConf, table string) *UserInfoModel {
return &UserInfoModel{
CachedConn: sqlc.NewConn(conn, c),
table: table,
}
}
```
- withoutCache
```
func NewUserInfoModel(conn sqlx.SqlConn, table string) *UserInfoModel {
return &UserInfoModel{conn: conn, table: table}
}
```
<h2>FindOne查询生成</h2>
FindOne查询代码生成仅对主键有效。如`user_info`中生成的FindOne如下
- withCache
```
func (m *UserInfoModel) FindOne(id int64) (*UserInfo, error) {
idKey := fmt.Sprintf("%s%v", cacheUserInfoIdPrefix, id)
var resp UserInfo
err := m.QueryRow(&resp, idKey, func(conn sqlx.SqlConn, v interface{}) error {
query := `select ` + userInfoRows + ` from ` + m.table + `where id = ? limit 1`
return conn.QueryRow(v, query, id)
})
switch err {
case nil:
return &resp, nil
case sqlc.ErrNotFound:
return nil, ErrNotFound
default:
return nil, err
}
}
```
- withoutCache
```
func (m *UserInfoModel) FindOne(id int64) (*UserInfo, error) {
query := `select ` + userInfoRows + ` from ` + m.table + `where id = ? limit 1`
var resp UserInfo
err := m.conn.QueryRow(&resp, query, id)
switch err {
case nil:
return &resp, nil
case sqlx.ErrNotFound:
return nil, ErrNotFound
default:
return nil, err
}
```
<h2>FindOneByXxx查询生成</h2>
FindOneByXxx查询生成可以按照单个字段查询、多个字段以AND关系且表达式符号为`=`的查询(下称:组合查询),对除主键之外的字段有效,对于单个字段可以用`withCache`来控制是否需要缓存这里的缓存只缓存主键并不缓存整个struct注意这里有一个隐藏的规则如果单个字段查询需要cache那么主键一定有cache多个字段组成的`组合查询`一律没有缓存处理,<strong><i>且组合查询不能相互嵌套</i></strong>,否则会报`circle query with other fields`错误,下面我们按场景来依次查看对应代码生成后的示例。
>注目前暂不支持除equals之外的条件查询。
+ 单字段查询
以name查询为例
- withCache
```
func (m *UserInfoModel) FindOneByName(name string) (*UserInfo, error) {
nameKey := fmt.Sprintf("%s%v", cacheUserInfoNamePrefix, name)
var id string
err := m.GetCache(key, &id)
if err != nil {
return nil, err
}
if id != "" {
return m.FindOne(id)
}
var resp UserInfo
query := `select ` + userInfoRows + ` from ` + m.table + `where name = ? limit 1`
err = m.QueryRowNoCache(&resp, query, name)
switch err {
case nil:
err = m.SetCache(nameKey, resp.Id)
if err != nil {
logx.Error(err)
}
return &resp, nil
case sqlc.ErrNotFound:
return nil, ErrNotFound
default:
return nil, err
}
}
```
- withoutCache
```
func (m *UserInfoModel) FindOneByName(name string) (*UserInfo, error) {
var resp UserInfo
query := `select ` + userInfoRows + ` from ` + m.table + `where name = ? limit 1`
err = m.conn.QueryRow(&resp, query, name)
switch err {
case nil:
return &resp, nil
case sqlx.ErrNotFound:
return nil, ErrNotFound
default:
return nil, err
}
}
```
- 组合查询
以`campus_id`和`id_number`查询为例。
```
func (m *UserInfoModel) FindOneByCampusIdAndIdNumber(campusId int64,idNumber string) (*UserInfo, error) {
var resp UserInfo
query := `select ` + userInfoRows + ` from ` + m.table + `where campus_id = ? AND id_number = ? limit 1`
err = m.QueryRowNoCache(&resp, query, campusId, idNumber)
// err = m.conn.QueryRows(&resp, query, campusId, idNumber)
switch err {
case nil:
return &resp, nil
case sqlx.ErrNotFound:
return nil, ErrNotFound
default:
return nil, err
}
}
```
<h2>FindAllByXxx生成</h2>
FindAllByXxx查询和FindOneByXxx功能相似只是FindOneByXxx限制了limit等于1而FindAllByXxx是查询所有,以两个例子来说明
- 查询单个字段`name`等于某值的所有数据
```
func (m *UserInfoModel) FindAllByName(name string) ([]*UserInfo, error) {
var resp []*UserInfo
query := `select ` + userInfoRows + ` from ` + m.table + `where name = ?`
err := m.QueryRowsNoCache(&resp, query, name)
// err := m.conn.QueryRows(&resp, query, name)
if err != nil {
return nil, err
}
return resp, nil
}
```
- 查询多个组合字段`campus_id`等于某值且`gender`等于某值的所有数据
```
func (m *UserInfoModel) FindAllByCampusIdAndGender(campusId int64,gender int64) ([]*UserInfo, error) {
var resp []*UserInfo
query := `select ` + userInfoRows + ` from ` + m.table + `where campus_id = ? AND gender = ?`
err := m.QueryRowsNoCache(&resp, query, campusId, gender)
// err := m.conn.QueryRows(&resp, query, campusId, gender)
if err != nil {
return nil, err
}
return resp, nil
}
```
<h2>FindLimitByXxx生成</h2>
FindLimitByXxx查询和FindAllByXxx功能相似只是FindAllByXxx限制了limit除此之外还会生成查询对应Count总数的代码而FindAllByXxx是查询所有数据,以几个例子来说明
- 查询`gender`等于某值的分页数据,按照`create_time`降序
```
func (m *UserInfoModel) FindLimitByGender(gender int64, page, limit int) ([]*UserInfo, error) {
var resp []*UserInfo
query := `select ` + userInfoRows + `from ` + m.table + `where gender = ? order by create_time DESC limit ?,?`
err := m.QueryRowsNoCache(&resp, query, gender, (page-1)*limit, limit)
// err := m.conn.QueryRows(&resp, query, gender, (page-1)*limit, limit)
if err != nil {
return nil, err
}
return resp, nil
}
func (m *UserInfoModel) FindAllCountByGender(gender int64) (int64, error) {
var count int64
query := `select count(1) from ` + m.table + `where gender = ? `
err := m.QueryRowsNoCache(&count, query, gender)
// err := m.conn.QueryRow(&count, query, gender)
if err != nil {
return 0, err
}
return count, nil
}
```
- 查询`gender`等于某值的分页数据,按照`create_time`降序、`update_time`生序排序
```
func (m *UserInfoModel) FindLimitByGender(gender int64, page, limit int) ([]*UserInfo, error) {
var resp []*UserInfo
query := `select ` + userInfoRows + `from ` + m.table + `where gender = ? order by create_time DESC,update_time ASC limit ?,?`
err := m.QueryRowsNoCache(&resp, query, gender, (page-1)*limit, limit)
// err := m.conn.QueryRows(&resp, query, gender, (page-1)*limit, limit)
if err != nil {
return nil, err
}
return resp, nil
}
func (m *UserInfoModel) FindAllCountByGender(gender int64) (int64, error) {
var count int64
query := `select count(1) from ` + m.table + `where gender = ? `
err := m.QueryRowNoCache(&count, query, gender)
// err := m.conn.QueryRow(&count, query, gender)
if err != nil {
return 0, err
}
return count, nil
}
```
- 查询`gender`等于某值且`campus_id`为某值按照`create_time`降序的分页数据
```
func (m *UserInfoModel) FindLimitByGenderAndCampusId(gender int64,campusId int64, page, limit int) ([]*UserInfo, error) {
var resp []*UserInfo
query := `select ` + userInfoRows + `from ` + m.table + `where gender = ? AND campus_id = ? order by create_time DESC limit ?,?`
err := m.QueryRowsNoCache(&resp, query, gender, campusId, (page-1)*limit, limit)
// err := m.conn.QueryRows(&resp, query, gender, campusId, (page-1)*limit, limit)
if err != nil {
return nil, err
}
return resp, nil
}
func (m *UserInfoModel) FindAllCountByGenderAndCampusId(gender int64,campusId int64) (int64, error) {
var count int64
query := `select count(1) from ` + m.table + `where gender = ? AND campus_id = ? `
err := m.QueryRowsNoCache(&count, query, gender, campusId)
// err := m.conn.QueryRow(&count, query, gender, campusId)
if err != nil {
return 0, err
}
return count, nil
}
```
<h2>Delete生成</h2>
Delete代码根据`withCache`的不同可以生成带缓存逻辑代码和不带缓存逻辑代码,<strong><i>Delete代码生成仅按照主键删除</i></strong>。从FindOneByXxx方法描述得知非主键`withCache`了那么主键会强制被cache因此在delete时也会删除主键cache。
- withCache
根据`mobile`查询用户信息
```
func (m *UserInfoModel) Delete(userId int64) error {
userIdKey := fmt.Sprintf("%s%v", cacheUserInfoUserIdPrefix, userId)
mobileKey := fmt.Sprintf("%s%v", cacheUserInfoMobilePrefix, mobile)
_, err := m.Exec(func(conn sqlx.SqlConn) (result sql.Result, err error) {
query := `delete from ` + m.table + + `where user_id = ?`
return conn.Exec(query, userId)
}, userIdKey, mobileKey)
return err
}
```
- withoutCache
```
func (m *UserInfoModel) Delete(userId int64) error {
_, err := m.Exec(func(conn sqlx.SqlConn) (result sql.Result, err error) {
query := `delete from ` + m.table + + `where user_id = ?`
return conn.Exec(query, userId)
}, )
return err
}
```
<h2>Insert生成</h2>
<h2>Update生成</h2>
<h2>待完善TODO</h2>
- 同一字段多种查询方式代码生成(优先级较高)
- 条件查询
- 范围查询
- ...
<h2>反馈与建议</h2>
- 无