1.使用Navicat工具,把mysql里面表结构和数据同步到pgsql里面
2.选中mysql中要同步到pgsql的数据库,点击工具选择数据传输

3.数据传输

4.选择目标连接换成pgsql连接,选择数据库(先在pgsql中建好数据库),选择public,点击下一步

5.选择要导入的表,点击下一步

6.可以勾选是否删除原来存在的表,最后点开始

7.执行完出现successfully代表导入成功

8.表和数据成功导入到pgsql中

1.mysql的表结构和数据已经导入到pgsql中了,因为pgsql没有自增,所以还要把mysql的自增换成pgsql的自增方式
2.pgsql可以通过序列的方式实现自增
-- 添加自增序列
CREATE SEQUENCE test_user_id_seq
START WITH 1
INCREMENT BY 1
NO MINVALUE
NO MAXVALUE
CACHE 1;
-- 设置表某个字段自增
alter table test_user alter column id set default nextval('test_user_id_seq');
-- 从当前最大id依次递增
select setval('test_user_id_seq',(select max(id) from test_user));
3.mysql中有自增id的都有改成这样。
1.后端代码切换数据源把mysql换成pgsql
2.引用pgsql驱动包
org.postgresql
postgresql
42.2.18
3.修改配置源
# 数据源配置
spring:
datasource:
type: com.alibaba.druid.pool.DruidDataSource
driverClassName: org.postgresql.Driver
druid:
# 主库数据源
master:
url: jdbc:postgresql://127.0.0.1:5432/ruoyi?currentSchema=public
username: postgres
password: 123456
# 从库数据源
slave:
# 从数据源开关/默认关闭
enabled: false
url:
username:
password:
# 配置检测连接是否有效
validationQuery: select version()
4.把mysql的 validationQuery: SELECT 1 FROM DUAL 换成 validationQuery: select version()
5.PageHelper分页插件换成pgsql的
# PageHelper分页插件 pagehelper: helperDialect: postgresql supportMethodsArguments: true params: count=countSql
6.若依后端mapping.xml代码中有sysdate()的函数,全部换成now(),ifnull(字段,‘’) 函数换成 COALESCE(字段,‘’)函数
7.字段类型必须对应上例如SysMenuMapper.xml中status字段是char类型,查询时必须带上单引号 status = 0 换成 status = ‘0’
可以使用CAST函数将字符串转换为整数。以下是一个例代码,演示如何使用函数将字符串转换为整数:
SELECT CAST('123' AS INTEGER);
这种的也要把mysql关键字转义符去掉 改成 query
最后大功告成启动项目

1.mysql的默认值切换成pgsql没有了,需要一个一个添加
2.字段类型必须对应上,数字类型不能有引号,字符类型必须有引号
3.mysql关键字转义符去掉
4.pgsql不支持sysdate()函数,要换成now(),pgsql不支持ifnull(字段,‘’) 函数,要换成 COALESCE(字段,‘’)函数
5.pgsql不支持mysql自增,需要换成pgsql自增,可以通过序列方式实现,参考目录二
6.上面数据库迁移只能迁移表结构和数据,函数,视图需要自己添加
-- 创建函数 CREATE OR REPLACE FUNCTION "public"."find_in_set"(int8, varchar) RETURNS "pg_catalog"."bool" AS $BODY$ DECLARE STR ALIAS FOR $1; STRS ALIAS FOR $2; POS INTEGER; STATUS BOOLEAN; BEGIN SELECT POSITION( ','||STR||',' IN ','||STRS||',') INTO POS; IF POS > 0 THEN STATUS = TRUE; ELSE STATUS = FALSE; END IF; RETURN STATUS; END; $BODY$ LANGUAGE plpgsql VOLATILE COST 100
7.通过navicat中的数据传输将表从mysql转到PostgreSQL时,mysql中的tinyint类型会转为int2类型,即smallint类型,而mysql中可以使用tinyint表示boolean类型,但PostgreSQL不可以,只可以把类型改成bool
– 修改int2为bool
ALTER TABLE sys_role ALTER COLUMN menu_check_strictly TYPE VARCHAR USING menu_check_strictly ::VARCHAR; ALTER TABLE sys_role ALTER COLUMN menu_check_strictly TYPE bool USING menu_check_strictly ::bool;
8、函数 date_format(character varying, unknown) 不存在,日期转换语法跟oracle类似,使用to_char,to_date,to_timestamp
9、若依生成代码的坑,创建视图,修改GenTableMapper.xml和GenTableColumnMapper.xml文件
-- 创建视图
---用户处理自动生成时的差异
CREATE OR REPLACE view view_self_table_columns
as select
table_catalog ,
table_schema ,
table_name ,
ordinal_position as sort,
column_name ,
data_type as TypeName,
(case
when (is_nullable = 'no' and contype !='p' ) then '1'
else null
end) as is_required,
(case
when contype = 'p' then '1'
else '0'
end) as is_pk,
coalesce(character_maximum_length, numeric_precision,-1) as Length,
numeric_scale as scale,
case
is_nullable when 'NO' then 0
else 1
end as canNull,
column_default as defaultval,
case
when position('nextval' in column_default)>0 then 1
else 0
end as IsIdentity,
(case
when position('nextval' in column_default)>0 then 1
else 0
end) as is_increment,
c.DeText as column_comment,
c.typname as column_type,
c.contype,
ordinal_position
from
information_schema.columns
left join (select
datname,pg_get_userbyid(relowner) AS tableowner,nspname,relname,attname, description as DeText,typname,pg_cons.contype
from
pg_class
left join pg_attribute pg_attr on
pg_attr.attrelid = pg_class.oid
left join pg_description pg_desc on
pg_desc.objoid = pg_attr.attrelid
and pg_desc.objsubid = pg_attr.attnum
left join pg_namespace pg_ns on
pg_ns."oid" = pg_class.relnamespace
left join pg_database on relowner = datdba
left join pg_type on pg_attr.atttypid = pg_type."oid"
left join (select pg_con.*,unnest(conkey) conkey_new from pg_constraint pg_con) pg_cons on
pg_attr.attrelid = pg_class.oid
and pg_attr.attnum = pg_cons.conkey_new and pg_cons.conrelid = pg_class.oid
where
pg_attr.attnum>0
and pg_attr.attrelid = pg_class.oid
) c
on table_catalog = datname and table_schema = nspname and table_name = relname and column_name = attname;
--where
-- table_schema = 'public'
-- and table_name = 'sys_user_role'
--order by ordinal_position asc
CREATE OR REPLACE view view_self_table
as select
datname as table_catalog,
pg_get_userbyid(relowner) AS tableowner,
nspname as table_schema,
relname as table_name,
cast(obj_description(relfilenode,'pg_class') as varchar) as table_comment ,
now() create_time,
now() update_time
from pg_class c
left join pg_namespace pg_ns on
pg_ns."oid" = c.relnamespace
left join pg_database on relowner = datdba
where relname in (select tablename from pg_tables);
修改GenTableMapper.xml
select table_id, table_name, table_comment, sub_table_name, sub_table_fk_name, class_name, tpl_category, package_name, module_name, business_name, function_name, function_author, gen_type, gen_path, options, create_by, create_time, update_by, update_time, remark from gen_table insert into gen_table ( table_name, table_comment, class_name, tpl_category, package_name, module_name, business_name, function_name, function_author, gen_type, gen_path, remark, create_by, create_time )values(#{tableName}, #{tableComment}, #{className}, #{tplCategory}, #{packageName}, #{moduleName}, #{businessName}, #{functionName}, #{functionAuthor}, #{genType}, #{genPath}, #{remark}, #{createBy}, now() )${sql} update gen_table where table_id = #{tableId} table_name = #{tableName}, table_comment = #{tableComment}, sub_table_name = #{subTableName}, sub_table_fk_name = #{subTableFkName}, class_name = #{className}, function_author = #{functionAuthor}, gen_type = #{genType}, gen_path = #{genPath}, tpl_category = #{tplCategory}, package_name = #{packageName}, module_name = #{moduleName}, business_name = #{businessName}, function_name = #{functionName}, options = #{options}, update_by = #{updateBy}, remark = #{remark}, update_time = now()delete from gen_table where table_id::bigint in #{tableId}
修改GenTableColumnMapper.xml
select column_id, table_id, column_name, column_comment, column_type, java_type, java_field, is_pk, is_increment, is_required, is_insert, is_edit, is_list, is_query, query_type, html_type, dict_type, sort, create_by, create_time, update_by, update_time from gen_table_column insert into gen_table_column ( table_id, column_name, column_comment, column_type, java_type, java_field, is_pk, is_increment, is_required, is_insert, is_edit, is_list, is_query, query_type, html_type, dict_type, sort, create_by, create_time )values(#{tableId}, #{columnName}, #{columnComment}, #{columnType}, #{javaType}, #{javaField}, #{isPk}, #{isIncrement}, #{isRequired}, #{isInsert}, #{isEdit}, #{isList}, #{isQuery}, #{queryType}, #{htmlType}, #{dictType}, #{sort}, #{createBy}, now() )update gen_table_column column_comment = #{columnComment}, java_type = #{javaType}, java_field = #{javaField}, is_insert = #{isInsert}, is_edit = #{isEdit}, is_list = #{isList}, is_query = #{isQuery}, is_required = #{isRequired}, query_type = #{queryType}, html_type = #{htmlType}, dict_type = #{dictType}, sort = #{sort}, update_by = #{updateBy}, update_time = now() where column_id = #{columnId}delete from gen_table_column where table_id::bigint in #{tableId} delete from gen_table_column where column_id in #{item.columnId}