装置配置

软件装置

下载地址:https://www.dameng.com/view_6...

本文以x86 win64 DM8为例

装置结束后关上DM数据库配置助手创立数据库,设置字符集utf8,去除字符大小写敏感

创立表空间及用户,最好是一个库对应一个用户一个表空间,创立用户时须要指定对应表空间

须要对用户调配DBA操作权限

数据表迁徙

针对现有我的项目或框架库须要同步迁徙达到梦数据库,本文以mysql5.7为例,关上DM数据迁徙工具,留神放弃对象名大小写,抉择表时全副取出再全选,迁徙的表名和字段名就与原数据库保持一致

maven援用

        <dependency>            <groupId>com.dameng</groupId>            <artifactId>DmJdbcDriver18</artifactId>            <version>8.1.1.193</version>        </dependency>        <dependency>            <groupId>com.alibaba</groupId>            <artifactId>druid</artifactId>            <version>1.2.0</version>        </dependency>        

数据库配置

应用druid治理连接池,去除wall的配置否则会报错

spring:  datasource:    type: com.alibaba.druid.pool.DruidDataSource      driverClassName: dm.jdbc.driver.DmDriver      url: jdbc:dm://localhost:5236/ROOT?zeroDateTimeBehavior=convertToNull&useUnicode=true&characterEncoding=utf-8      username: ROOT      password: abcd@1234    filters: stat,slf4j

兼容代码

映射成LinkHashMap

数据会在达梦的数据库驱动中强制大写,这对某些接口的数据返回给前端数据大小写呈现问题,影响范畴较大

JdbcTemplate解决

咱们能够通过混合应用jdbcTemplate进行查问的通用操作,调用query办法,传入自定义的ResultSetExtractor,失去jdbc原生的ResultSet对象,取出ResultSetMetaData转换成DmdbResultSetMetaData,其中的columns对象为公有对象且无办法拜访,通过反射取出即可,通过columns获取到数据库理论的列名

    public List<LinkedHashMap<String, Object>> findListByParam(String sqlText, Map<String, Object> map) {        List<LinkedHashMap<String, Object>> result = new ArrayList<>();        List<Object> paramList = new ArrayList<>();        //解析sqlText中的占位符#{xxxx}        String regex = "\\#\\{(?<RegxName>[\\w.]*)\\}";        String sqlTextCopy = sqlText;        Pattern pattern = Pattern.compile(regex);        Matcher matcher = pattern.matcher(sqlTextCopy);        while (matcher.find()) {            String paramNameSymbol = matcher.group(0);            sqlText = sqlText.replace(paramNameSymbol, " ? ");        }        logger.debug("【sqlText】:" + sqlText);        //参数赋值        matcher = pattern.matcher(sqlTextCopy);        while (matcher.find()) {            String paramNameSymbol = matcher.group(0);            String paramName = paramNameSymbol.replace("#", "").replace("{", "").replace("}", "");            Object paramValue = map.get(paramName);            logger.debug("【paramName】:" + paramName);            logger.debug("【paramValue】:" + paramValue);            paramList.add(paramValue);        }        jdbcTemplate.query(sqlText, paramList.toArray(), new ResultSetExtractor<Object>() {            @Override            public Object extractData(ResultSet rs) throws SQLException, DataAccessException {                try {                    ResultSetMetaData rsMetaData = rs.getMetaData();                    Column[] dm_columns = null;                    if (dataBaseInfoUtil.getUsingDataBaseType() == GlobalEnum.DataBaseType.DM) {                        ResultSetMetaDataProxyImpl resultSetMetaDataProxy = (ResultSetMetaDataProxyImpl) rsMetaData;                        DmdbResultSetMetaData dmdbResultSetMetaData = (DmdbResultSetMetaData) resultSetMetaDataProxy.getRawObject();                        Class dataClass = DmdbResultSetMetaData.class;                        Field field = dataClass.getDeclaredField("columns");                        field.setAccessible(true);                        dm_columns = (Column[]) field.get(dmdbResultSetMetaData);                    }                    while (rs.next()) {                        LinkedHashMap<String, Object> resultitem = new LinkedHashMap<>();                        for (int i = 1; i <= rsMetaData.getColumnCount(); i++) {                            String columnName = "";                            if (dataBaseInfoUtil.getUsingDataBaseType() == GlobalEnum.DataBaseType.DM) {                                columnName = dm_columns[i - 1].name;                            } else {                                columnName = rsMetaData.getColumnName(i);                                ;                            }                            Object columnValue = rs.getObject(columnName);                            resultitem.put(columnName, columnValue);                        }                        result.add(resultitem);                    }                } catch (Exception e) {                    e.printStackTrace();                } finally {                    return null;                }            }        });        return result;    }

与mybaits对立数据源

在应用事务时,因为查问操作通过jdbcTemplate,更新操作通过myabtis,在某些隔离级别下会查问不到未提交的数据,所以须要对立数据源都为druid治理的datasource,这里的dynamicDataSource为我自定义的数据源解决对象,继承自spring的AbstractRoutingDataSource,为了解决多数据源状况

    @Bean    public SqlSessionFactory sqlSessionFactory() throws Exception {        //SpringBootExecutableJarVFS.addImplClass(SpringBootVFS.class);        final PackagesSqlSessionFactoryBean sessionFactory = new PackagesSqlSessionFactoryBean();        sessionFactory.setDataSource(dynamicDataSource());        sessionFactory.setMapperLocations(new PathMatchingResourcePatternResolver()                .getResources("classpath*:mybatis/**/*Mapper.xml"));        //敞开驼峰转换,避免带下划线的字段无奈映射        sessionFactory.getObject().getConfiguration().setMapUnderscoreToCamelCase(false);        return sessionFactory.getObject();    }    @Bean    public JdbcTemplate jdbcTemplate(){        JdbcTemplate jdbcTemplate = null;        try{            jdbcTemplate = new JdbcTemplate(dynamicDataSource());        }catch (Exception e){            e.printStackTrace();        }        return jdbcTemplate;    }

映射成实体类

对立将查问操作后果转换成LinkHashMap键值对,再通过BeanMap映射成对应的实体类

clob长文本处理

                    Object value = map.get(resultkey);                    if(value instanceof ClobProxyImpl){                        try {                            value =  ((ClobProxyImpl) value).getSubString(1,(int)((ClobProxyImpl) value).length());                        } catch (Exception e) {                            e.printStackTrace();                        }                    }

blob二进制解决

                    Object value = map.get(resultkey);                    if(value instanceof DmdbBlob){                        try {                            DmdbBlob dmdbBlob = (DmdbBlob)value;                            value = FileUtil.convertStreamToByte(dmdbBlob.getBinaryStream());                        } catch (Exception e) {                            e.printStackTrace();                        }                    }