feat: 达梦DM8

This commit is contained in:
dhb52 2024-05-03 23:22:53 +08:00
parent 6d19690bea
commit 774082509b
5 changed files with 4434 additions and 5734 deletions

File diff suppressed because it is too large Load Diff

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@ -42,7 +42,24 @@ docker compose exec sqlserver bash /tmp/create_schema.sh
### 1.5 DM 达梦 ### 1.5 DM 达梦
TODO 暂未支持 下载达梦docker镜像 https://download.dameng.com/eco/dm8/dm8_20230808_rev197096_x86_rh6_64_single.tar
加载镜像文件在镜像tar文件所在目录运行
```Bash
docker load -i dm8_20230808_rev197096_x86_rh6_64_single.tar
````
在项目`sql/tools`目录下运行:
```Bash
docker compose up -d dm8
# 注意:启动完 sqlserver 后,需要手动再执行如下命令,因为 SQL Server 不支持初始化脚本
docker compose exec -i dm8 /bin/bash -c "exec /opt/dmdbms/bin/disql SYSDBA/SYSDBA001 \`/tmp/schema.sql"
```
**注意**: `sql/dm/ruoyi-vue-pro-dm8.sql`文件编码必须为`GBK`或者`GBK`超集
暂不支持 MacBook Apple Silicon因为 达梦 官方没有提供 Apple Silicon 版本的 Docker 镜像。
## 2. MySQL 转换其它数据库 ## 2. MySQL 转换其它数据库

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@ -571,7 +571,7 @@ GO
return "\n".join(f"{script}\nGO" for script in self.index(ddl)) return "\n".join(f"{script}\nGO" for script in self.index(ddl))
def gen_insert(self, table_name: str) -> str: def gen_insert(self, table_name: str) -> str:
"""生成 insert 语句,以及根据最后的 insert id+1 生成 Sequence""" """生成 insert 语句"""
# 收集 `table_name` 对应的 insert 语句 # 收集 `table_name` 对应的 insert 语句
inserts = [] inserts = []
@ -606,13 +606,117 @@ GO
return script return script
class DM8Convertor(Convertor):
def __init__(self, src):
super().__init__(src, "DM8")
def translate_type(self, type: str, size: Optional[Union[int, Tuple[int]]]):
"""类型转换"""
type = type.lower()
if type == "varchar":
return f"varchar({size})"
if type == "int":
return "int"
if type == "bigint" or type == "bigint unsigned":
return "bigint"
if type == "datetime":
return "datetime"
if type == "bit":
return "bit"
if type in ("tinyint", "smallint"):
return "smallint"
if type == "text":
return "text"
if type == "blob":
return "blob"
if type == "mediumblob":
return "varchar(10240)"
if type == "decimal":
return (
f"decimal({','.join(str(s) for s in size)})" if len(size) else "decimal"
)
def gen_create(self, ddl) -> str:
"""生成 CREATE 语句"""
def generate_column(col):
name = col["name"].lower()
if name == "id":
return "id bigint NOT NULL PRIMARY KEY IDENTITY"
type = col["type"].lower()
full_type = self.translate_type(type, col["size"])
nullable = "NULL" if col["nullable"] else "NOT NULL"
default = f"DEFAULT {col['default']}" if col["default"] is not None else ""
return f"{name} {full_type} {default} {nullable}"
table_name = ddl["table_name"].lower()
columns = [f"{generate_column(col).strip()}" for col in ddl["columns"]]
field_def_list = ",\n ".join(columns)
script = f"""-- ----------------------------
-- Table structure for {table_name}
-- ----------------------------
CREATE TABLE {table_name} (
{field_def_list}
);"""
# oracle INSERT '' 不能通过 NOT NULL 校验
script = script.replace("DEFAULT '' NOT NULL", "DEFAULT '' NULL")
return script
def gen_index(self, ddl: Dict) -> str:
return "\n".join(f"{script};" for script in self.index(ddl))
def gen_comment(self, table_sql: str, table_name: str) -> str:
script = ""
for field, comment_string in self.filed_comments(table_sql):
script += (
f"COMMENT ON COLUMN {table_name}.{field} IS '{comment_string}';" + "\n"
)
table_comment = self.table_comment(table_sql)
if table_comment:
script += f"COMMENT ON TABLE {table_name} IS '{table_comment}';\n"
return script
def gen_pk(self, table_name: str) -> str:
"""生成主键定义"""
return ""
def gen_index(self, ddl: Dict) -> str:
return "\n".join(f"{script};" for script in self.index(ddl))
def gen_insert(self, table_name: str) -> str:
"""拷贝 INSERT 语句"""
inserts = list(Convertor.inserts(table_name, self.content))
## 生成 insert 脚本
script = ""
if inserts:
inserts_lines = "\n".join(inserts)
script += f"""\n\n-- ----------------------------
-- Records of {table_name.lower()}
-- ----------------------------
-- @formatter:off
SET IDENTITY_INSERT {table_name.lower()} ON;
{inserts_lines}
COMMIT;
SET IDENTITY_INSERT {table_name.lower()} OFF;
-- @formatter:on"""
return script
def main(): def main():
parser = argparse.ArgumentParser(description="芋道系统数据库转换工具") parser = argparse.ArgumentParser(description="芋道系统数据库转换工具")
parser.add_argument( parser.add_argument(
"type", "type",
type=str, type=str,
help="目标数据库类型", help="目标数据库类型",
choices=["postgres", "oracle", "sqlserver"], choices=["postgres", "oracle", "sqlserver", "dm8"],
) )
args = parser.parse_args() args = parser.parse_args()
@ -624,6 +728,8 @@ def main():
convertor = OracleConvertor(sql_file) convertor = OracleConvertor(sql_file)
elif args.type == "sqlserver": elif args.type == "sqlserver":
convertor = SQLServerConvertor(sql_file) convertor = SQLServerConvertor(sql_file)
elif args.type == "dm8":
convertor = DM8Convertor(sql_file)
else: else:
raise NotImplementedError(f"不支持目标数据库类型: {args.type}") raise NotImplementedError(f"不支持目标数据库类型: {args.type}")

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@ -4,6 +4,7 @@ volumes:
mysql: { } mysql: { }
postgres: { } postgres: { }
sqlserver: { } sqlserver: { }
dm8: { }
services: services:
mysql: mysql:
@ -69,3 +70,25 @@ services:
- ../sqlserver/ruoyi-vue-pro.sql:/tmp/schema.sql:ro - ../sqlserver/ruoyi-vue-pro.sql:/tmp/schema.sql:ro
# docker compose exec sqlserver bash /tmp/create_schema.sh # docker compose exec sqlserver bash /tmp/create_schema.sh
- ./sqlserver/create_schema.sh:/tmp/create_schema.sh:ro - ./sqlserver/create_schema.sh:/tmp/create_schema.sh:ro
dm8:
# wget https://download.dameng.com/eco/dm8/dm8_20230808_rev197096_x86_rh6_64_single.tar
# docker load -i dm8_20230808_rev197096_x86_rh6_64_single.tar
image: dm8_single:dm8_20230808_rev197096_x86_rh6_64
restart: unless-stopped
environment:
PAGE_SIZE: 16
LD_LIBRARY_PATH: /opt/dmdbms/bin
EXTENT_SIZE: 32
BLANK_PAD_MODE: 1
LOG_SIZE: 1024
UNICODE_FLAG: 1
LENGTH_IN_CHAR: 1
INSTANCE_NAME: dm8_test
ports:
- "5236:5236"
volumes:
- dm8:/opt/dmdbms/data
- ../dm/ruoyi-vue-pro-dm8.sql:/tmp/schema.sql:ro
# docker compose exec -i dm8 /bin/bash -c "exec /opt/dmdbms/bin/disql SYSDBA/SYSDBA001 \`/tmp/schema.sql"

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@ -50,14 +50,14 @@ spring:
# url: jdbc:mysql://127.0.0.1:3306/ruoyi-vue-pro?useSSL=false&allowPublicKeyRetrieval=true&useUnicode=true&characterEncoding=UTF-8&serverTimezone=CTT # MySQL Connector/J 5.X 连接的示例 # url: jdbc:mysql://127.0.0.1:3306/ruoyi-vue-pro?useSSL=false&allowPublicKeyRetrieval=true&useUnicode=true&characterEncoding=UTF-8&serverTimezone=CTT # MySQL Connector/J 5.X 连接的示例
# url: jdbc:postgresql://127.0.0.1:5432/ruoyi-vue-pro?useUnicode=true&characterEncoding=utf8&useSSL=true&autoReconnect=true&reWriteBatchedInserts=true # PostgreSQL 连接的示例 # url: jdbc:postgresql://127.0.0.1:5432/ruoyi-vue-pro?useUnicode=true&characterEncoding=utf8&useSSL=true&autoReconnect=true&reWriteBatchedInserts=true # PostgreSQL 连接的示例
# url: jdbc:oracle:thin:@//127.0.0.1:1521/XEPDB1 # Oracle 连接的示例 # url: jdbc:oracle:thin:@//127.0.0.1:1521/XEPDB1 # Oracle 连接的示例
url: jdbc:sqlserver://127.0.0.1:1433;DatabaseName=ruoyi-vue-pro;SelectMethod=cursor;encrypt=false;rewriteBatchedStatements=true;useUnicode=true;characterEncoding=utf-8 # SQLServer 连接的示例 # url: jdbc:sqlserver://127.0.0.1:1433;DatabaseName=ruoyi-vue-pro;SelectMethod=cursor;encrypt=false;rewriteBatchedStatements=true;useUnicode=true;characterEncoding=utf-8 # SQLServer 连接的示例
# url: jdbc:dm://10.211.55.4:5236?schema=RUOYI_VUE_PRO # DM 连接的示例 url: jdbc:dm://localhost:5236 # DM 连接的示例
# username: root # username: root
# password: 123456 # password: 123456
username: sa # SQLServer 连接的示例 # username: sa # SQLServer 连接的示例
password: Yudao@2024 # SQLServer 连接的示例 # password: Yudao@2024 # SQLServer 连接的示例
# username: SYSDBA # DM 连接的示例 username: SYSDBA # DM 连接的示例
# password: SYSDBA # DM 连接的示例 password: SYSDBA001 # DM 连接的示例
slave: # 模拟从库,可根据自己需要修改 slave: # 模拟从库,可根据自己需要修改
lazy: true # 开启懒加载,保证启动速度 lazy: true # 开启懒加载,保证启动速度
# url: jdbc:mysql://127.0.0.1:3306/ruoyi-vue-pro?useSSL=false&serverTimezone=Asia/Shanghai&allowPublicKeyRetrieval=true&nullCatalogMeansCurrent=true # MySQL Connector/J 8.X 连接的示例 # url: jdbc:mysql://127.0.0.1:3306/ruoyi-vue-pro?useSSL=false&serverTimezone=Asia/Shanghai&allowPublicKeyRetrieval=true&nullCatalogMeansCurrent=true # MySQL Connector/J 8.X 连接的示例