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@@ -1,10 +1,68 @@
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# 数据服务SDK使用文档
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-## 入门
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+数据服务设计意图是要统一管理各类数据源,数据服务SDK主要用于对接数据服务,目前仅实现了对数据库中PostgresSQL的支持。
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-数据服务SDK主要用于对接数据服务,实现数据的增删改查操作,使用sdk前,需要通过datactl在数据服务中预先创建好对应的Namespace,DataSource和
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+## 数据库操作
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-DataContainer资源
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+### 入门
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+
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+可以通过sql包实现数据库的增删改查操作,使用sdk前,需要通过datactl在数据服务中预先创建好对应的Namespace,DataSource和
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+
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+DataContainer资源,demo使用的资源yaml如下所示:
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+
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+```yaml
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+kind: Namespace
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+spec:
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+ name: ns-sdk-demo
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+
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+---
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+
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+kind: DataSource
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+spec:
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+ type: database
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+ namespace: ns-sdk-demo
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+ name: ds-sdk-demo
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+ spec:
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+ type: postgres
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+ user_name: test
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+ password: "123456"
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+ address: "10.0.0.84"
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+ port: "30432"
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+ database: test
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+ max_connections: 40
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+ max_idle_connections: 10
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+
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+---
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+
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+kind: DataContainer
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+spec:
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+ namespace: ns-sdk-demo
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+ data_source: ds-sdk-demo
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+ name: dc-sdk-demo
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+ spec:
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+ table_name: test.classes
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+ columns:
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+ - name: id
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+ type: varchar(32)
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+ comment: id
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+ primary_key: true
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+ - name: name
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+ type: varchar(128)
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+ comment: 班名
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+ not_null: true
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+ - name: student_num
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+ type: integer
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+ comment: 学生数量
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+ default: 60
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+ - name: created_time
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+ type: "timestamp with time zone"
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+ comment: 创建时间
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+ not_null: true
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+ - name: last_updated_time
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+ type: "timestamp with time zone"
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+ comment: 最近更新时间
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+ not_null: true
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+```
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```go
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package main
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@@ -13,15 +71,16 @@ import (
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"fmt"
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"git.sxidc.com/service-supports/ds-sdk/sdk"
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"git.sxidc.com/service-supports/ds-sdk/sdk/raw_sql_tpl"
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+ "git.sxidc.com/service-supports/ds-sdk/sql"
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"strconv"
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"time"
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)
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const (
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- token = "IpTTwAQweh/BP51fz5CzWKQFaXHvZe6ewvk6yOcAOkU="
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- address = "localhost"
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- httpPort = "10000"
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- grpcPort = "10001"
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+ token = "数据服务管理员分配的token"
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+ address = "数据服务地址"
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+ httpPort = "数据服务http端口"
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+ grpcPort = "数据服务grpc端口"
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namespace = "ns-sdk-demo"
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dataSource = "ds-sdk-demo"
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tableName = "test.classes"
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@@ -61,12 +120,12 @@ func main() {
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StudentNum: 10,
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}
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- err = sdk.InsertEntity(sdk.GetInstance(), tableName, class)
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+ err = sql.InsertEntity(sdk.GetInstance(), tableName, class)
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if err != nil {
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panic(err)
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}
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- tableRow, err := sdk.QueryOne(sdk.GetInstance(), &raw_sql_tpl.QueryOneExecuteParams{
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+ tableRow, err := sql.QueryOne(sdk.GetInstance(), &raw_sql_tpl.QueryOneExecuteParams{
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TableName: tableName,
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SelectColumns: []string{"id", "name", "created_time", "last_updated_time"},
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Conditions: raw_sql_tpl.NewConditions().Equal("id", class.ID),
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@@ -78,16 +137,488 @@ func main() {
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fmt.Println(tableRow)
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classInfo := new(ClassInfo)
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- err = sdk.ParseSqlResults(tableRow, classInfo)
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+ err = sql.ParseSqlResults(tableRow, classInfo)
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if err != nil {
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panic(err)
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}
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fmt.Println(classInfo)
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- err = sdk.DeleteEntity(sdk.GetInstance(), tableName, class)
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+ err = sql.DeleteEntity(sdk.GetInstance(), tableName, class)
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+ if err != nil {
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+ panic(err)
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+ }
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+}
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+```
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+
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+代码中定义了需要用到的各类常量以及结构,Class结构作为数据库持久化的实体使用,ClassInfo则是作为查询结果的接受实体使用。
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+
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+sdk会利用Class字段,将Class字段名称变为蛇形后作为表的列名使用,如果字段名称转换后是id(字段名称是ID,Id等),就会被作为主键使用,还可以通过sdk的
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+sqlmapping Tag对字段含义进行扩充,稍后会对sqlmapping Tag进行说明。对命名为CreatedTime和LastUpdatedTime的字段,在没有赋值的情况下,sdk会自动添加创建时间和更新时间。
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+
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+Demo中的ClassInfo并不是必须的,sdk所有数据查询命令返回的是map[string]any或者[]map[string]any类型的数据,其中map的key是列名,value是列值,
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+sdk对mapstructure包进行了封装,如果程序需要,可以将查询结果转到一个添加了mapstructure Tag的结构上。mapstructure Tag的使用可以查看文档:
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+
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+https://pkg.go.dev/github.com/mitchellh/mapstructure
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+
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+Demo的main函数中,首先初始化了sdk实例,然后执行了插入操作,单查询操作和删除操作。
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+
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+### 事务的使用
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+
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+sdk提供了事务操作,可以参考下面的代码:
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+
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+```go
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+package main
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+
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+import (
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+ "git.sxidc.com/service-supports/ds-sdk/sdk"
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+ "git.sxidc.com/service-supports/ds-sdk/sql"
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+ "strconv"
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+ "time"
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+)
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+
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+const (
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+ token = "IpTTwAQweh/BP51fz5CzWKQFaXHvZe6ewvk6yOcAOkU="
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+ address = "localhost"
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+ httpPort = "10000"
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+ grpcPort = "10001"
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+ namespace = "ns-sdk-demo"
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+ dataSource = "ds-sdk-demo"
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+ tableName = "test.classes"
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+)
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+
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+type Class struct {
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+ ID string
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+ Name string
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+ StudentNum int
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+ CreatedTime time.Time
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+ LastUpdatedTime time.Time
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+}
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+
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+func main() {
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+ err := sdk.InitInstance(token, address, httpPort, grpcPort, namespace, dataSource)
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+ if err != nil {
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+ panic(err)
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+ }
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+
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+ defer func() {
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+ err := sdk.DestroyInstance()
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+ if err != nil {
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+ panic(err)
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+ }
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+ }()
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+
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+ class := &Class{
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+ ID: "id" + strconv.Itoa(time.Now().Nanosecond()),
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+ Name: "test",
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+ StudentNum: 10,
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+ }
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+
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+ err = sdk.GetInstance().Transaction(func(tx *sdk.Transaction) error {
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+ err = sql.InsertEntity(tx, tableName, class)
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+ if err != nil {
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+ panic(err)
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+ }
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+
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+ err = sql.DeleteEntity(tx, tableName, class)
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+ if err != nil {
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+ panic(err)
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+ }
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+
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+ return nil
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+ })
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if err != nil {
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panic(err)
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}
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}
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-```
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+```
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+
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+使用事务仅需要调用sdk实例的Transaction函数即可,在事务函数中,将sql包函数的第一个参数(Executor接口)替换为tx即可,这样也方便于实现非事务操作向事务操作的转换,
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+如果在事务函数中需要查询,则可以继续使用sdk实例进行查询当前数据库中的数据(不过查询不到事务前面步骤的结果,这里为了防止不必要错误的发生,tx没有提供查询的方法)。
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+
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+### sqlmapping Tag
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+
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+可以使用sqlmapping Tag对实体字段进行更多扩展,下面的例子使用了sqlmapping Tag:
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+
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+```go
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+type Class struct {
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+ ID string
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+ Name string `sqlmapping:"updateClear;"`
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+ StudentNum int `sqlmapping:"column:student_num;notUpdate;"`
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+ CreatedTime *time.Time
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+ LastUpdatedTime time.Time
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+ Ignored string `sqlmapping:"-"`
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+}
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+```
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+
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+对Name字段添加了updateClear,这里允许将数据库的name列更新为零值(默认如果该字段是零值,则不执行更新),对StudentNum字段添加了
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+column和notUpdate两个sqlmapping Tag,column指定了该字段对应的数据库列,notUpdate则禁止了对student_num列的更新。Ignored字段则通过sqlmapping的
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+'-' Tag标定为不进行持久化的字段。
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+
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+下面是sqlmapping Tag支持的所有Tag:
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+
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+| Tag | 说明 |
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+|-------------|-------------------------------------------------------------------------------|
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+| - | 忽略该字段,不进行持久化(不对应任何数据库表列) |
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+| column | 显式指定该字段对应的数据库表列,如column:foo |
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+| key | 该列是否作为逻辑键(实际到底哪个字段为键,是由DataContainer定义确定的)使用,如果一个结构的多个字段使用了key,这几个字段将被作为联合键使用 |
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+| notUpdate | 不对该列进行更新操作 |
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+| updateClear | 允许将该列清空为零值 |
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+
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+### SQL语句执行
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+
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+sdk还提供了直接执行SQL语句的函数和方法,主要有两个:ExecuteRawSql和ExecuteSql。
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+
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+ExecuteRawSql执行一条SQL语句,该语句可以用Golang的模板编写,执行时可以通过传递执行参数渲染模板;
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+ExecuteSql则执行一个SQL资源(提前在数据服务中创建),也可以传递模板参数,还可以使用每一步SQL执行语句后的结果。
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+
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+### sql包说明
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+
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+```go
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+type SqlExecutor interface {
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+ ExecuteRawSql(sql string, executeParams map[string]any) ([]map[string]any, error)
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+ ExecuteSql(name string, executeParams map[string]any) ([]map[string]any, error)
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+}
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+```
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+
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+SQL执行器接口定义,在sdk中,SDK和事务都实现了该接口
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+
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+```go
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+func InsertEntity[T any](executor SqlExecutor, tableName string, e T) error
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+```
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+
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+通过实体插入数据
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+
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+参数:
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+
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+1. executor: 执行器
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+2. tableName: 要操作的表名
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+3. e: 实体,需要持久化的字段应该都赋值
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+
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+返回值:
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+
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+是否出现错误
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+
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+```go
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+func DeleteEntity[T any](executor SqlExecutor, tableName string, e T) error
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+```
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+
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+通过实体删除数据
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+
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+参数:
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+
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+1. executor: 执行器
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+2. tableName: 要操作的表名
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+3. e: 实体,仅赋值key字段即可
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+
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+返回值:
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+
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+是否出现错误
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+
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+```go
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+func UpdateEntity[T any](executor SqlExecutor, tableName string, e T) error
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+```
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+
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+通过实体更新数据
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+
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+参数:
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+
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+1. executor: 执行器
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+2. tableName: 要操作的表名
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+3. e: 实体,仅赋值key字段和需要更新的字段即可
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+
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+返回值:
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+
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+是否出现错误
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+
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+```go
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+func Insert(executor SqlExecutor, executeParams *raw_sql_tpl.InsertExecuteParams) error
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+```
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+
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+通过简化的INSERT语句插入数据,简化的INSERT语句:
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+
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+```go
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+const InsertTpl = `
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+INSERT INTO
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+ {{ .table_name }} ({{ .columns | join "," }})
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+VALUES
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+ ({{ .values | join "," }})
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+`
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+```
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+
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+参数:
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+
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+1. executor: 执行器
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+2. executeParams: 插入操作需要的参数,如下所示
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+
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+```go
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+type InsertExecuteParams struct {
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+ TableName string
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+ *TableRows
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+}
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+```
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+
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+TableRows可以通过rat_sql_tpl中的NewTableRows()函数创建,其中Add方法可以用来添加列
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+
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+返回值:
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+
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+是否出现错误
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+
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+```go
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+func Delete(executor SqlExecutor, executeParams *raw_sql_tpl.DeleteExecuteParams) error
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+```
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+
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+通过简化的DELETE语句删除数据,简化的DELETE语句:
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+
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+```go
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+const DeleteTpl = `
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+DELETE FROM
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+ {{ .table_name }}
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+WHERE
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+ {{ range .conditions }} {{ . }} AND {{ end }} 1 = 1
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+`
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+```
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+
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+参数:
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+
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+1. executor: 执行器
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+2. executeParams: 删除操作需要的参数,如下所示
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+
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+```go
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+type DeleteExecuteParams struct {
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+ TableName string
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+ *Conditions
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+}
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+```
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+
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+Conditions可以通过rat_sql_tpl中的NewConditions()函数创建,其中有各种条件可供使用,如Equal,Like等
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+
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+返回值:
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+
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+是否出现错误
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+
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+```go
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+func Update(executor SqlExecutor, executeParams *raw_sql_tpl.UpdateExecuteParams) error
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+```
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+
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+通过简化的UPDATE语句更新数据,简化的DELETE语句:
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+
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+```go
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+const UpdateTpl = `
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+UPDATE
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+ {{ .table_name }}
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+SET
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+ {{ .set_list | join "," }}
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+WHERE
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+ {{ range .conditions }} {{ . }} AND {{ end }} 1 = 1
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+`
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+```
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+
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+参数:
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+
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+1. executor: 执行器
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+2. executeParams: 更新操作需要的参数,如下所示
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+
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+```go
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+type UpdateExecuteParams struct {
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+ TableName string
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+ *TableRows
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+ *Conditions
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+}
|
|
|
+```
|
|
|
+
|
|
|
+TableRows可以通过rat_sql_tpl中的NewTableRows()函数创建,其中Add方法可以用来添加列
|
|
|
+
|
|
|
+Conditions可以通过rat_sql_tpl中的NewConditions()函数创建,其中有各种条件可供使用,如Equal,Like等
|
|
|
+
|
|
|
+返回值:
|
|
|
+
|
|
|
+是否出现错误
|
|
|
+
|
|
|
+```go
|
|
|
+func Query(executor SqlExecutor, executeParams *raw_sql_tpl.QueryExecuteParams) ([]map[string]any, int64, error)
|
|
|
+```
|
|
|
+
|
|
|
+通过简化的SELETE语句查询数据,简化的SELETE语句:
|
|
|
+
|
|
|
+```go
|
|
|
+const QueryTpl = `
|
|
|
+SELECT
|
|
|
+ {{ if .select_columns }}{{ .select_columns | join "," }}{{ else }}*{{ end }}
|
|
|
+FROM
|
|
|
+ {{ .table_name }}
|
|
|
+WHERE
|
|
|
+ {{ range .conditions }} {{ . }} AND {{ end }} 1 = 1
|
|
|
+{{ if .limit }}LIMIT {{ .limit }}{{ end }}
|
|
|
+{{ if .offset }}OFFSET {{ .offset }}{{ end }}
|
|
|
+`
|
|
|
+```
|
|
|
+
|
|
|
+参数:
|
|
|
+
|
|
|
+1. executor: 执行器
|
|
|
+2. executeParams: 查询操作需要的参数,如下所示
|
|
|
+
|
|
|
+```go
|
|
|
+type QueryExecuteParams struct {
|
|
|
+ TableName string
|
|
|
+ SelectColumns []string
|
|
|
+ *Conditions
|
|
|
+ PageNo int
|
|
|
+ PageSize int
|
|
|
+}
|
|
|
+```
|
|
|
+
|
|
|
+Conditions可以通过rat_sql_tpl中的NewConditions()函数创建,其中有各种条件可供使用,如Equal,Like等
|
|
|
+
|
|
|
+返回值:
|
|
|
+
|
|
|
+1. 查询结果
|
|
|
+2. 总数
|
|
|
+3. 是否出现错误
|
|
|
+
|
|
|
+```go
|
|
|
+func QueryOne(executor SqlExecutor, executeParams *raw_sql_tpl.QueryOneExecuteParams) (map[string]any, error)
|
|
|
+```
|
|
|
+
|
|
|
+通过简化的SELETE语句执行单查询
|
|
|
+
|
|
|
+参数:
|
|
|
+
|
|
|
+1. executor: 执行器
|
|
|
+2. executeParams: 查询操作需要的参数,如下所示
|
|
|
+
|
|
|
+```go
|
|
|
+type QueryOneExecuteParams struct {
|
|
|
+ TableName string
|
|
|
+ SelectColumns []string
|
|
|
+ *Conditions
|
|
|
+}
|
|
|
+```
|
|
|
+
|
|
|
+Conditions可以通过rat_sql_tpl中的NewConditions()函数创建,其中有各种条件可供使用,如Equal,Like等
|
|
|
+
|
|
|
+返回值:
|
|
|
+
|
|
|
+1. 查询结果
|
|
|
+2. 是否出现错误
|
|
|
+
|
|
|
+```go
|
|
|
+func Count(executor SqlExecutor, executeParams *raw_sql_tpl.CountExecuteParams) (int64, error)
|
|
|
+```
|
|
|
+
|
|
|
+通过简化的COUNT语句执行计数,简化的COUNT语句
|
|
|
+
|
|
|
+```go
|
|
|
+const CountTpl = `
|
|
|
+SELECT
|
|
|
+ COUNT(*)
|
|
|
+FROM
|
|
|
+ {{ .table_name }}
|
|
|
+WHERE
|
|
|
+ {{ range .conditions }} {{ . }} AND {{ end }} 1 = 1
|
|
|
+`
|
|
|
+```
|
|
|
+
|
|
|
+参数:
|
|
|
+
|
|
|
+1. executor: 执行器
|
|
|
+2. executeParams: 计数操作需要的参数,如下所示
|
|
|
+
|
|
|
+```go
|
|
|
+type CountExecuteParams struct {
|
|
|
+ TableName string
|
|
|
+ *Conditions
|
|
|
+}
|
|
|
+```
|
|
|
+
|
|
|
+Conditions可以通过rat_sql_tpl中的NewConditions()函数创建,其中有各种条件可供使用,如Equal,Like等
|
|
|
+
|
|
|
+返回值:
|
|
|
+
|
|
|
+1. 计数结果
|
|
|
+2. 是否出现错误
|
|
|
+
|
|
|
+```go
|
|
|
+func CheckExist(executor SqlExecutor, executeParams *raw_sql_tpl.CheckExistExecuteParams) (bool, error)
|
|
|
+```
|
|
|
+
|
|
|
+通过简化的COUNT语句执行存在性检查
|
|
|
+
|
|
|
+参数:
|
|
|
+
|
|
|
+1. executor: 执行器
|
|
|
+2. executeParams: 检查操作需要的参数,如下所示
|
|
|
+
|
|
|
+```go
|
|
|
+type CheckExistExecuteParams struct {
|
|
|
+ TableName string
|
|
|
+ *Conditions
|
|
|
+}
|
|
|
+```
|
|
|
+
|
|
|
+Conditions可以通过rat_sql_tpl中的NewConditions()函数创建,其中有各种条件可供使用,如Equal,Like等
|
|
|
+
|
|
|
+返回值:
|
|
|
+
|
|
|
+1. 是否存在的结果
|
|
|
+2. 是否出现错误
|
|
|
+
|
|
|
+```go
|
|
|
+func CheckHasOnlyOne(executor SqlExecutor, executeParams *raw_sql_tpl.CheckHasOnlyOneExecuteParams) (bool, error)
|
|
|
+```
|
|
|
+
|
|
|
+通过简化的COUNT语句执行唯一性检查
|
|
|
+
|
|
|
+参数:
|
|
|
+
|
|
|
+1. executor: 执行器
|
|
|
+2. executeParams: 检查操作需要的参数,如下所示
|
|
|
+
|
|
|
+```go
|
|
|
+type CheckHasOnlyOneExecuteParams struct {
|
|
|
+ TableName string
|
|
|
+ *Conditions
|
|
|
+}
|
|
|
+```
|
|
|
+
|
|
|
+Conditions可以通过rat_sql_tpl中的NewConditions()函数创建,其中有各种条件可供使用,如Equal,Like等
|
|
|
+
|
|
|
+返回值:
|
|
|
+
|
|
|
+1. 是否唯一的结果
|
|
|
+2. 是否出现错误
|
|
|
+
|
|
|
+```go
|
|
|
+func ExecuteRawSql(executor SqlExecutor, sql string, executeParams map[string]any) ([]map[string]any, error)
|
|
|
+```
|
|
|
+
|
|
|
+执行SQL语句
|
|
|
+
|
|
|
+参数:
|
|
|
+
|
|
|
+1. executor: 执行器
|
|
|
+2. sql: SQL语句,可以使用Golang模板语法编写
|
|
|
+2. executeParams: 检查操作需要的参数,如下所示
|
|
|
+
|
|
|
+返回值:
|
|
|
+
|
|
|
+1. 执行结果,对于写操作,结果为空,对于读操作,为读出的数据
|
|
|
+2. 是否出现错误
|
|
|
+
|
|
|
+```go
|
|
|
+func ExecuteSql(executor SqlExecutor, name string, executeParams map[string]any) ([]map[string]any, error)
|
|
|
+```
|
|
|
+
|
|
|
+执行SQL语句
|
|
|
+
|
|
|
+参数:
|
|
|
+
|
|
|
+1. executor: 执行器
|
|
|
+2. name: 数据服务的SQL资源名称
|
|
|
+2. executeParams: 检查操作需要的参数,如下所示
|
|
|
+
|
|
|
+返回值:
|
|
|
+
|
|
|
+1. 执行结果,对于写操作,结果为空,对于读操作,为读出的数据
|
|
|
+2. 是否出现错误
|