6 Commits

Author SHA1 Message Date
Moshow郑锴
bc123b8f27 | 2023.01.01 | 新增GCP BigQuery/Dataflow JJS/QlikSense BI模板。 2023-01-01 16:26:10 +08:00
Moshow郑锴
107c1035e5 Merge pull request #136 from jadelike-wine/master
MySQL to Java type conversion @jadelike-wine
2022-10-29 10:28:17 +08:00
jadelike
37e83ef76c jadelike
MySQL to Java type conversion
2022-09-28 18:40:59 +08:00
Moshow郑锴
781a7ff4ca script to install and run 2022-07-02 17:54:12 +08:00
Moshow郑锴
a658ff5a0b Merge pull request #135 from moshowgame/dependabot/maven/com.alibaba-fastjson-1.2.83
Bump fastjson from 1.2.79 to 1.2.83
2022-07-02 10:21:40 +08:00
dependabot[bot]
aac82f2109 Bump fastjson from 1.2.79 to 1.2.83
Bumps [fastjson](https://github.com/alibaba/fastjson) from 1.2.79 to 1.2.83.
- [Release notes](https://github.com/alibaba/fastjson/releases)
- [Commits](https://github.com/alibaba/fastjson/compare/1.2.79...1.2.83)

---
updated-dependencies:
- dependency-name: com.alibaba:fastjson
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
2022-06-17 03:37:13 +00:00
13 changed files with 314 additions and 131 deletions

5
@install.cmd Normal file
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@@ -0,0 +1,5 @@
REM JDK must equal or more than : 11
java -version
REM maven installing libraries
mvn clean compile
pause

4
@run.cmd Normal file
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@@ -0,0 +1,4 @@
java -jar "./generator-web/target/generator-web-3.0.jar"
pause
mvn clean compile package
pause

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@@ -29,7 +29,7 @@
> 愿大家可以维持生活和工作平衡,保持健康和安全,祝大家工作顺利! > 愿大家可以维持生活和工作平衡,保持健康和安全,祝大家工作顺利!
# Tips or Features # Tips or Features
- 支持DDL SQL/INSERT SQL/SIMPLE JSON三种生成模式 - 支持`DDL SQL`/`INSERT SQL`/`SIMPLE JSON`三种生成模式
- `自动记忆`最近生成的内容最多保留9个 - `自动记忆`最近生成的内容最多保留9个
- 提供众多`通用模板`易于使用复制粘贴加简单修改即可完成CRUD操作 - 提供众多`通用模板`易于使用复制粘贴加简单修改即可完成CRUD操作
- 支持`特殊字符`模板(`#`请用`井`代替;`$`请用`¥`代替) - 支持`特殊字符`模板(`#`请用`井`代替;`$`请用`¥`代替)
@@ -59,7 +59,10 @@ Thanks for `JetBrains` providing us the `Licenses for Open Source Development`
# Update Logs # Update Logs
| 更新日期 | 更新内容 | | 更新日期 | 更新内容 |
|:------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| |:-----------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 2023.01.01 | 新增GCP BigQuery/Dataflow JJS/QlikSense BI模板。 |
| 2022.09.28 | MySQL to Java type conversion 数据库类型转换优化(感谢@jadelike得贡献 |
| 2022.07.02 | add the script to install and run添加批处理以便直接构建或运行项目。 |
| 2022.02.10 | 更新springboot、fastjson、lombok依赖感谢@Abbykawai的建议)。 | | 2022.02.10 | 更新springboot、fastjson、lombok依赖感谢@Abbykawai的建议)。 |
| 2022.02.09 | 新增JPA-STARP模板感谢@starplatinum3的贡献)。 | | 2022.02.09 | 新增JPA-STARP模板感谢@starplatinum3的贡献)。 |
| 2022.01.11 | 优化mybatis的mapper文件生成感谢@chendong的贡献)。 | | 2022.01.11 | 优化mybatis的mapper文件生成感谢@chendong的贡献)。 |

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@@ -1,6 +1,6 @@
package com.softdev.system.generator.util; package com.softdev.system.generator.util;
import com.softdev.system.generator.util.mysqlJavaTypeUtil;
import com.alibaba.fastjson.JSON; import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.JSONArray; import com.alibaba.fastjson.JSONArray;
import com.alibaba.fastjson.JSONObject; import com.alibaba.fastjson.JSONObject;
@@ -196,84 +196,25 @@ public class TableParseUtil {
fieldName = columnName; fieldName = columnName;
} }
columnLine = columnLine.substring(columnLine.indexOf("`") + 1).trim(); columnLine = columnLine.substring(columnLine.indexOf("`") + 1).trim();
String mysqlType = columnLine.split("\\s+")[1];
if(mysqlType.contains("(")){
mysqlType = mysqlType.substring(0, mysqlType.indexOf("("));
}
//swagger class //swagger class
String swaggerClass = "string" ; String swaggerClass = "string" ;
if (columnLine.contains(" tinyint")) { if(mysqlJavaTypeUtil.getMysqlSwaggerTypeMap().containsKey(mysqlType)){
swaggerClass = "integer"; swaggerClass = mysqlJavaTypeUtil.getMysqlSwaggerTypeMap().get(mysqlType);
} else if (columnLine.contains(" int") || columnLine.contains(" smallint")) {
swaggerClass = "integer";
} else if (columnLine.contains(" bigint")) {
swaggerClass = "integer";
} else if (columnLine.contains(" float")) {
swaggerClass = "number";
} else if (columnLine.contains(" double")) {
swaggerClass = "number";
} else if (columnLine.contains(" boolean")) {
swaggerClass = "boolean";
} }
// field class // field class
// int(11) NOT NULL AUTO_INCREMENT COMMENT '用户ID', // int(11) NOT NULL AUTO_INCREMENT COMMENT '用户ID',
String fieldClass = Object.class.getSimpleName(); String fieldClass = "String";
//2018-9-16 zhengk 补充char/clob/blob/json等类型如果类型未知默认为String //2018-9-16 zhengk 补充char/clob/blob/json等类型如果类型未知默认为String
//2018-11-22 lshz0088 处理字段类型的时候不严谨columnLine.contains(" int") 类似这种的,可在前后适当加一些空格之类的加以区分,否则当我的字段包含这些字符的时候,产生类型判断问题。 //2018-11-22 lshz0088 处理字段类型的时候不严谨columnLine.contains(" int") 类似这种的,可在前后适当加一些空格之类的加以区分,否则当我的字段包含这些字符的时候,产生类型判断问题。
//2020-05-03 MOSHOW.K.ZHENG 优化对所有类型的处理 //2020-05-03 MOSHOW.K.ZHENG 优化对所有类型的处理
//2020-10-20 zhengkai 新增包装类型的转换选择 //2020-10-20 zhengkai 新增包装类型的转换选择
if (columnLine.contains(" tinyint")) { if(mysqlJavaTypeUtil.getMysqlJavaTypeMap().containsKey(mysqlType)){
//20191115 MOSHOW.K.ZHENG 支持对tinyint的特殊处理 fieldClass = mysqlJavaTypeUtil.getMysqlJavaTypeMap().get(mysqlType);
fieldClass = MapUtil.getString(paramInfo.getOptions(),"tinyintTransType");;
} else if (columnLine.contains(" int") || columnLine.contains(" smallint")) {
fieldClass = (isPackageType)?Integer.class.getSimpleName():"int";
} else if (columnLine.contains(" bigint")) {
fieldClass = (isPackageType)?Long.class.getSimpleName():"long";
} else if (columnLine.contains(" float")) {
fieldClass = (isPackageType)?Float.class.getSimpleName():"float";
} else if (columnLine.contains(" double")) {
fieldClass = (isPackageType)?Double.class.getSimpleName():"double";
} else if (columnLine.contains(" time") || columnLine.contains(" date") || columnLine.contains(" datetime") || columnLine.contains(" timestamp")) {
fieldClass = MapUtil.getString(paramInfo.getOptions(),"timeTransType");
} else if (columnLine.contains(" varchar") || columnLine.contains(" text") || columnLine.contains(" char")
|| columnLine.contains(" clob") || columnLine.contains(" blob") || columnLine.contains(" json")) {
fieldClass = String.class.getSimpleName();
} else if (columnLine.contains(" decimal") || columnLine.contains(" number")) {
//2018-11-22 lshz0088 建议对number类型增加intlongBigDecimal的区分判断
//如果startKh大于等于0则表示有设置取值范围
int startKh = columnLine.indexOf("(");
if (startKh >= 0) {
int endKh = columnLine.indexOf(")", startKh);
String[] fanwei = columnLine.substring(startKh + 1, endKh).split("");
//2019-1-5 zhengk 修复@arthaschan反馈的超出范围错误
//System.out.println("fanwei"+ JSON.toJSONString(fanwei));
// //number(20,6) fanwei["20","6"]
// //number(0,6) fanwei["0","6"]
// //number(20,0) fanwei["20","0"]
// //number(20) fanwei["20"]
//如果括号里是1位或者2位且第二位为0则进行特殊处理。只有有小数位都设置为BigDecimal。
if ((fanwei.length > 1 && "0".equals(fanwei[1])) || fanwei.length == 1) {
int length = Integer.parseInt(fanwei[0]);
if (fanwei.length > 1) {
length = Integer.valueOf(fanwei[1]);
} }
//数字范围9位及一下用Integer大的用Long
if (length <= 9) {
fieldClass = (isPackageType)?Integer.class.getSimpleName():"int";
} else {
fieldClass = (isPackageType)?Long.class.getSimpleName():"long";
}
} else {
//有小数位数一律使用BigDecimal
fieldClass = BigDecimal.class.getSimpleName();
}
} else {
fieldClass = BigDecimal.class.getSimpleName();
}
} else if (columnLine.contains(" boolean")) {
//20190910 MOSHOW.K.ZHENG 新增对boolean的处理感谢@violinxsc的反馈以及修复tinyint类型字段无法生成boolean类型问题感谢@hahaYhui的反馈
fieldClass = (isPackageType)?Boolean.class.getSimpleName():"boolean";
} else {
fieldClass = String.class.getSimpleName();
}
// field commentMySQL的一般位于field行而pgsql和oralce多位于后面。 // field commentMySQL的一般位于field行而pgsql和oralce多位于后面。
String fieldComment = null; String fieldComment = null;
if (tableSql.contains("comment on column") && (tableSql.contains("." + columnName + " is ") || tableSql.contains(".`" + columnName + "` is"))) { if (tableSql.contains("comment on column") && (tableSql.contains("." + columnName + " is ") || tableSql.contains(".`" + columnName + "` is"))) {

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@@ -0,0 +1,59 @@
package com.softdev.system.generator.util;
import java.util.Collections;
import java.util.HashMap;
import java.util.Map;
/**
* @author lvyanpu
*/
public final class mysqlJavaTypeUtil {
public static final HashMap<String, String> mysqlJavaTypeMap = new HashMap<String, String>();
public static final HashMap<String, String> mysqlSwaggerTypeMap =new HashMap<String, String>();
static{
mysqlJavaTypeMap.put("bigint","Long");
mysqlJavaTypeMap.put("int","Integer");
mysqlJavaTypeMap.put("tinyint","Integer");
mysqlJavaTypeMap.put("smallint","Integer");
mysqlJavaTypeMap.put("mediumint","Integer");
mysqlJavaTypeMap.put("integer","Integer");
//小数
mysqlJavaTypeMap.put("float","Float");
mysqlJavaTypeMap.put("double","Double");
mysqlJavaTypeMap.put("decimal","Double");
//bool
mysqlJavaTypeMap.put("bit","Boolean");
//字符串
mysqlJavaTypeMap.put("char","String");
mysqlJavaTypeMap.put("varchar","String");
mysqlJavaTypeMap.put("tinytext","String");
mysqlJavaTypeMap.put("text","String");
mysqlJavaTypeMap.put("mediumtext","String");
mysqlJavaTypeMap.put("longtext","String");
//日期
mysqlJavaTypeMap.put("date","Date");
mysqlJavaTypeMap.put("datetime","Date");
mysqlJavaTypeMap.put("timestamp","Date");
mysqlSwaggerTypeMap.put("bigint","integer");
mysqlSwaggerTypeMap.put("int","integer");
mysqlSwaggerTypeMap.put("tinyint","integer");
mysqlSwaggerTypeMap.put("smallint","integer");
mysqlSwaggerTypeMap.put("mediumint","integer");
mysqlSwaggerTypeMap.put("integer","integer");
mysqlSwaggerTypeMap.put("boolean","boolean");
mysqlSwaggerTypeMap.put("float","number");
mysqlSwaggerTypeMap.put("double","number");
mysqlSwaggerTypeMap.put("decimal","Double");
}
public static HashMap<String, String> getMysqlJavaTypeMap() {
return mysqlJavaTypeMap;
}
public static HashMap<String, String> getMysqlSwaggerTypeMap() {
return mysqlSwaggerTypeMap;
}
}

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@@ -47,7 +47,7 @@ spring:
#mvc: #mvc:
# static-path-pattern: /statics/** # static-path-pattern: /statics/**
OEM: OEM:
version: 3.2 version: 2023.1
header: SQL转Java JPA、MYBATIS实现类代码生成平台 header: SQL转Java JPA、MYBATIS实现类代码生成平台
keywords: sql转实体类,sql转DAO,SQL转service,SQL转JPA实现,SQL转MYBATIS实现 keywords: sql转实体类,sql转DAO,SQL转service,SQL转JPA实现,SQL转MYBATIS实现
title: JAVA在线代码生成 title: JAVA在线代码生成

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@@ -47,7 +47,7 @@ spring:
#mvc: #mvc:
# static-path-pattern: /statics/** # static-path-pattern: /statics/**
OEM: OEM:
version: 3.2 version: 2023.1
header: SQL转Java JPA、MYBATIS实现类代码生成平台 header: SQL转Java JPA、MYBATIS实现类代码生成平台
keywords: sql转实体类,sql转DAO,SQL转service,SQL转JPA实现,SQL转MYBATIS实现 keywords: sql转实体类,sql转DAO,SQL转service,SQL转JPA实现,SQL转MYBATIS实现
title: JAVA代码生成平台 title: JAVA代码生成平台

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@@ -47,7 +47,7 @@ spring:
#mvc: #mvc:
# static-path-pattern: /statics/** # static-path-pattern: /statics/**
OEM: OEM:
version: 3.2 version: 2023.1
header: SQL转Java JPA、MYBATIS实现类代码生成平台 header: SQL转Java JPA、MYBATIS实现类代码生成平台
keywords: sql转实体类,sql转DAO,SQL转service,SQL转JPA实现,SQL转MYBATIS实现 keywords: sql转实体类,sql转DAO,SQL转service,SQL转JPA实现,SQL转MYBATIS实现
title: JAVA在线代码生成 title: JAVA在线代码生成

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@@ -230,7 +230,6 @@
} }
] ]
}, },
{ {
"group": "jpa-starp", "group": "jpa-starp",
"templates": [{ "templates": [{
@@ -249,5 +248,28 @@
"description": "jpacontroller" "description": "jpacontroller"
} }
] ]
},
{
"group": "bi",
"templates": [{
"id": "201",
"name": "qliksense",
"description": "qlik sense"
}]
},
{
"group": "cloud",
"templates": [
{
"id": "301",
"name": "bigquery",
"description": "GCP BigQuery"
},
{
"id": "302",
"name": "dataflowjjs",
"description": "GCP Dataflow JJS"
}
]
} }
] ]

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@@ -0,0 +1,94 @@
//***************************
//[${classInfo.classComment} - ${classInfo.tableName}]
//AUTHOR ${authorName}
//HISTORY ${.now?string('yyyy-MM-dd')}
//***************************
//***************************
//load all
[${classInfo.tableName}]:
LOAD * FROM ['LIB://QVD/${classInfo.className}.qvd'](qvd);
//***************************
//load columns
[${classInfo.tableName}]:
LOAD
<#list classInfo.fieldList as fieldItem >
"${fieldItem.columnName}" as "${fieldItem.fieldName}"<#if fieldItem_has_next>,</#if>
</#list>
FROM
['LIB://QVD/${classInfo.className}.qvd'](qvd);
;
//load inline
[${classInfo.tableName}]:
LOAD * INLINE
[
<#list classInfo.fieldList as fieldItem >${fieldItem.columnName} <#if fieldItem_has_next>,</#if></#list>
<#list classInfo.fieldList as fieldItem >${fieldItem.fieldName} <#if fieldItem_has_next>,</#if></#list>
<#list classInfo.fieldList as fieldItem >${fieldItem.fieldComment} <#if fieldItem_has_next>,</#if></#list>
];
//***************************
//load from api data connection (wrap on)
LIB CONNECT TO '${classInfo.tableName}_api';
RestConnectorMasterTable:
SQL SELECT
"__KEY_root",
(SELECT
<#list classInfo.fieldList as fieldItem >
"${fieldItem.columnName}"
</#list>
"__FK_object"
FROM "object" FK "__FK_object")
FROM JSON (wrap on) "root" PK "__KEY_root"
// WITH CONNECTION (
// Url "https://localhost:8080/${classInfo.tableName}_api",
// QUERY "page" "1",
// QUERY "size" "100",
// HTTPHEADER "token" "123456",
// BODY "Post body here")
;
[${classInfo.className}]:
LOAD
<#list classInfo.fieldList as fieldItem >
[${fieldItem.columnName}] as [${fieldItem.fieldName}]
</#list>
[__FK_object] AS [__KEY_root]
RESIDENT RestConnectorMasterTable
WHERE NOT IsNull([__FK_stores]);
DROP TABLE [${classInfo.className}];
DROP TABLE RestConnectorMasterTable;
//***************************
//load from api data connection (wrap off)
LIB CONNECT TO '${classInfo.tableName}_api';
[${classInfo.className}]:
SQL SELECT
<#list classInfo.fieldList as fieldItem >
[${fieldItem.fieldName}] as [${fieldItem.fieldName}]<#if fieldItem_has_next>,</#if>
</#list>
FROM JSON(wrap off) "${classInfo.className}"
// WITH CONNECTION (
// Url "https://localhost:8080/${classInfo.tableName}_api",
// QUERY "page" "1",
// QUERY "size" "100",
// HTTPHEADER "token" "123456",
// BODY "Post body here")
;
//***************************
//load from sql data connection
LIB CONNECT TO '${classInfo.tableName}_db';
SQL SELECT
<#list classInfo.fieldList as fieldItem >
[${fieldItem.columnName}] as [${fieldItem.fieldName}]<#if fieldItem_has_next>,</#if>
</#list>
FROM
${classInfo.tableName}
WHERE
Create_Time > '2023-01-01 00:00:00';

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@@ -0,0 +1,17 @@
SELECT * FROM 'your_project.your_dataset.${tableName}' t
order by t.id desc
LIMIT 100
;
SELECT * FROM 'your_project.your_dataset.${tableName}_error_records' t
order by t.timestamp desc
LIMIT 100
;
bigquery table -> SCHEMA -> Edit as text , then input below text:
[
<#list classInfo.fieldList as fieldItem >
{"name":"${fieldItem.columnName}",type:"STRING","mode":"NULLABLE","description": "${fieldItem.fieldName} - ${fieldItem.fieldComment}"}<#if fieldItem_has_next>,</#if>
</#list>
]

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@@ -0,0 +1,38 @@
/**
* GCP - dataflow job jjs for [${classInfo.classComment} - ${classInfo.tableName}]
* AUTHOR ${authorName}
*
* User-defined function (UDF) to transform events as part of a Dataflow template job.
* upload to GCS and create dataflow job with this js file and method as 'process'
* @param {string} inJson input Pub/Sub JSON message (stringified)
* @return {string} outJson output JSON message (stringified)
*/
function process(inJson) {
//for local js debug
//var obj = JSON.parse(JSON.stringify(inJson));
//for online jjs
var obj = JSON.parse(inJson);
var includePubsubMessage = obj.data && obj.attributes;
var data = includePubsubMessage ? obj.data : obj;
//debug and show error if you need special logic
if(data.hasOwnProperty('show_error')){
throw new ERROR("show_error:"+JSON.stringify(data))
}
// INSERT CUSTOM TRANSFORMATION LOGIC HERE
var tableObj= {};
tableObj.insert_time=new Date().toUTCString()
<#list classInfo.fieldList as fieldItem >
tableObj.${fieldItem.columnName}=data.${fieldItem.fieldName}
</#list>
return JSON.stringify(tableObj);
}
//field name = field name
<#list classInfo.fieldList as fieldItem >
tableObj.${fieldItem.fieldName}=data.${fieldItem.fieldName}
</#list>
//column name = column name
<#list classInfo.fieldList as fieldItem >
tableObj.${fieldItem.columnName}=data.${fieldItem.columnName}
</#list>

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@@ -49,7 +49,7 @@
<dependency> <dependency>
<groupId>com.alibaba</groupId> <groupId>com.alibaba</groupId>
<artifactId>fastjson</artifactId> <artifactId>fastjson</artifactId>
<version>1.2.79</version> <version>1.2.83</version>
</dependency> </dependency>
<!-- 支持 @ConfigurationProperties 注解 --> <!-- 支持 @ConfigurationProperties 注解 -->