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java jpa 自动生成_IDEA自动生成JPA实体

idea自动生成jpa实体类

1.连接数据库

view -> Tool Windows -> Database

java jpa 自动生成_IDEA自动生成JPA实体

2.在右侧弹出的Database选项里

+ -> DataSource -> 数据库类型

java jpa 自动生成_IDEA自动生成JPA实体

3.在弹出框配置数据库连接,注意左下角可能会有蓝色提示缺少jar,点击就会自动下载,然后测试连接,应用

java jpa 自动生成_IDEA自动生成JPA实体

4.配置生成策略

回到2的Database,可以看到可以显示第三部连接的数据库以及数据库中的表,选中表(可多选),

右键 Scripted Extensions -> Go to Scripts Directory

java jpa 自动生成_IDEA自动生成JPA实体

生成策略常用的有两种,第一种是普通的get set的方式,讲下面代码复制到Generate POJOS.groovy里

import com.intellij.database.model.DasTable

import com.intellij.database.util.Case

import com.intellij.database.util.DasUtil

packageName = "com.sample;" //这里要换成自己项目 实体的包路径

typeMapping = [

(~/(?i)int/) : "long", //数据库类型和Jave类型映射关系

(~/(?i)float|double|decimal|real/): "double",

(~/(?i)datetime|timestamp/) : "java.sql.Timestamp",

(~/(?i)date/) : "java.sql.Date",

(~/(?i)time/) : "java.sql.Time",

(~/(?i)/) : "String"

]

FILES.chooseDirectoryAndSave("Choose directory", "Choose where to store generated files") { dir ->

SELECTION.filter { it instanceof DasTable }.each { generate(it, dir) }

}

def generate(table, dir) {

def className = javaName(table.getName(), true)

def fields = calcFields(table)

new File(dir, className + ".java").withPrintWriter { out -> generate(out, className, fields) }

}

def generate(out, className, fields) {

out.println "package $packageName"

out.println ""

out.println ""

out.println "public class $className {"

out.println ""

fields.each() {

if (it.annos != "") out.println " ${it.annos}"

out.println " private ${it.type} ${it.name};"

}

out.println ""

fields.each() {

out.println ""

out.println " public ${it.type} get${it.name.capitalize()}() {"

out.println " return ${it.name};"

out.println " }"

out.println ""

out.println " public void set${it.name.capitalize()}(${it.type} ${it.name}) {"

out.println " this.${it.name} = ${it.name};"

out.println " }"

out.println ""

}

out.println "}"

}

def calcFields(table) {

DasUtil.getColumns(table).reduce([]) { fields, col ->

def spec = Case.LOWER.apply(col.getDataType().getSpecification())

def typeStr = typeMapping.find { p, t -> p.matcher(spec).find() }.value

fields += [[

name : javaName(col.getName(), false),

type : typeStr,

annos: ""]]

}

}

def javaName(str, capitalize) {

def s = com.intellij.psi.codeStyle.NameUtil.splitNameIntoWords(str)

.collect { Case.LOWER.apply(it).capitalize() }

.join("")

.replaceAll(/[^\p{javaJavaIdentifierPart}[_]]/, "_")

capitalize || s.length() == 1? s : Case.LOWER.apply(s[0]) + s[1..-1]

}

第二种策略是 lombok提供的注解方式的实体,并且可以映射字段和属性对应关系,这种比较实用一些。

import com.intellij.database.model.DasTable

import com.intellij.database.model.ObjectKind

import com.intellij.database.util.Case

import com.intellij.database.util.DasUtil

packageName = "com.sample;" //这里要换成自己项目 实体的包路径

typeMapping = [

(~/(?i)int/) : "Integer", //数据库类型和Jave类型映射关系

(~/(?i)float|double|decimal|real/): "Double",

(~/(?i)bool|boolean/) : "Boolean",

(~/(?i)datetime|timestamp/) : "java.util.Date",

(~/(?i)date/) : "java.sql.Date",

(~/(?i)time/) : "java.sql.Time",

(~/(?i)/) : "String"

]

FILES.chooseDirectoryAndSave("Choose directory", "Choose where to store generated files") { dir ->

SELECTION.filter { it instanceof DasTable && it.getKind() == ObjectKind.TABLE }.each { generate(it, dir) }

}

def generate(table, dir) {

def className = javaName(table.getName(), true)

def fields = calcFields(table)

new File(dir, className + ".java").withPrintWriter { out -> generate(out, table, className, fields) }

}

def generate(out, table, className, fields) {

def tableName = table.getName()

out.println "package $packageName"

out.println ""

out.println "import lombok.Data;"

out.println ""

out.println "import javax.persistence.*;"

out.println "import java.io.Serializable;"

out.println ""

out.println "@Data"

out.println "@Entity"

out.println "@Table(name = \"$tableName\")"

out.println "public class $className implements Serializable {"

out.println ""

if ((tableName + "_id").equalsIgnoreCase(fields[0].colum) || "id".equalsIgnoreCase(fields[0].colum)) {

out.println "\[email protected]"

out.println "\[email protected](strategy=GenerationType.IDENTITY)"

}

fields.each() {

if (it.annos != "") out.println " ${it.annos}"

if (it.colum != it.name) {

out.println "\[email protected](name = \"${it.colum}\")"

}

out.println "\tprivate ${it.type} ${it.name};"

out.println ""

}

out.println "}"

}

def calcFields(table) {

DasUtil.getColumns(table).reduce([]) { fields, col ->

def spec = Case.LOWER.apply(col.getDataType().getSpecification())

def typeStr = typeMapping.find { p, t -> p.matcher(spec).find() }.value

fields += [[

name : javaName(col.getName(), false),

colum: col.getName(),

type : typeStr,

annos: ""]]

}

}

def javaName(str, capitalize) {

def s = str.split(/(?<=[^\p{IsLetter}])/).collect { Case.LOWER.apply(it).capitalize() }

.join("").replaceAll(/[^\p{javaJavaIdentifierPart}]/, "_").replaceAll(/_/, "")

capitalize || s.length() == 1 ? s : Case.LOWER.apply(s[0]) + s[1..-1]

}

5.生成实体类

在DataBase属性那里Scripted -> Extensions -> Generate POJOS.groovy -> 弹出框选择实体类保存位置。

java jpa 自动生成_IDEA自动生成JPA实体

右下角看到提示,成功。

java jpa 自动生成_IDEA自动生成JPA实体

然后在对应目录下就可以看到生成的实体类

java jpa 自动生成_IDEA自动生成JPA实体