Examples with DataAccessException org.sagacity.sqltoy.exception.DataAccessException used on opensource projects

Example 21 with DataAccessException

use of org.sagacity.sqltoy.exception.DataAccessException in project sagacity-sqltoy by chenrenfei.

the class DialectFactory method isUnique.

/**
 * @todo 判定数据是否重复 true 表示唯一不重复；false 表示不唯一，即数据库中已经存在
 * @param sqlToyContext
 * @param uniqueExecutor
 * @param dataSource
 * @return
 */
public boolean isUnique(final SqlToyContext sqlToyContext, final UniqueExecutor uniqueExecutor, final DataSource dataSource) {
    if (uniqueExecutor.getEntity() == null) {
        throw new IllegalArgumentException("unique judge entity object is null,please check!");
    }
    try {
        SqlExecuteStat.start(BeanUtil.getEntityClass(uniqueExecutor.getEntity().getClass()).getName(), "isUnique", null);
        final ShardingModel shardingModel = ShardingUtils.getSharding(sqlToyContext, uniqueExecutor.getEntity(), false, dataSource);
        Boolean isUnique = (Boolean) DataSourceUtils.processDataSource(sqlToyContext, shardingModel.getDataSource(), new DataSourceCallbackHandler() {

            @Override
            public void doConnection(Connection conn, Integer dbType, String dialect) throws Exception {
                this.setResult(getDialectSqlWrapper(dbType).isUnique(sqlToyContext, uniqueExecutor.getEntity(), uniqueExecutor.getUniqueFields(), conn, dbType, shardingModel.getTableName()));
            }
        });
        SqlExecuteStat.debug("查询结果", "唯一性验证返回结果={}!", isUnique);
        return isUnique;
    } catch (Exception e) {
        SqlExecuteStat.error(e);
        throw new DataAccessException(e);
    } finally {
        SqlExecuteStat.destroy();
    }
}

Example 22 with DataAccessException

use of org.sagacity.sqltoy.exception.DataAccessException in project sagacity-sqltoy by chenrenfei.

the class DialectFactory method batchUpdate.

/**
 * @todo 批量执行sql修改或删除操作
 * @param sqlToyContext
 * @param sqlToyConfig
 * @param dataSet             支持List<List>、List<Object[]>(sql中?传参)
 *                            ;List<VO>、List<Map> 形式(sql中:paramName传参)
 * @param batchSize
 * @param reflectPropsHandler
 * @param insertCallhandler   使用反调方式自己对rs进行处理
 * @param autoCommit
 * @param dataSource
 * @return
 */
public Long batchUpdate(final SqlToyContext sqlToyContext, final SqlToyConfig sqlToyConfig, final List dataSet, final int batchSize, final ReflectPropsHandler reflectPropsHandler, final InsertRowCallbackHandler insertCallhandler, final Boolean autoCommit, final DataSource dataSource) {
    // 首先合法性校验
    if (dataSet == null || dataSet.isEmpty()) {
        logger.warn("batchUpdate dataSet is null or empty,please check!");
        return 0L;
    }
    try {
        // 启动执行日志(会在threadlocal中创建一个当前执行信息,并建立一个唯一跟踪id)
        SqlExecuteStat.start(sqlToyConfig.getId(), "batchUpdate:[" + dataSet.size() + "]条记录!", sqlToyConfig.isShowSql());
        Long updateTotalCnt = (Long) DataSourceUtils.processDataSource(sqlToyContext, dataSource, new DataSourceCallbackHandler() {

            @Override
            public void doConnection(Connection conn, Integer dbType, String dialect) throws Exception {
                String realSql = sqlToyConfig.getSql(dialect);
                Integer[] fieldTypes = null;
                List values = dataSet;
                // sql中存在:named参数模式，通过sql提取参数名称
                if (sqlToyConfig.getParamsName() != null) {
                    // 替换sql中:name为?并提取参数名称归集成数组
                    SqlParamsModel sqlParamsModel = SqlConfigParseUtils.processNamedParamsQuery(realSql);
                    realSql = sqlParamsModel.getSql();
                    // update 2021-10-28 增加统一授权传参、根据insert、update 判断自动补充创建人、创建时间、修改人、修改时间等属性值的填充
                    ReflectPropsHandler realPropsHandler = DialectUtils.wrapReflectWithUnifyFields(realSql, reflectPropsHandler, sqlToyContext.getUnifyFieldsHandler());
                    values = BeanUtil.reflectBeansToList(dataSet, sqlParamsModel.getParamsName(), realPropsHandler);
                    fieldTypes = BeanUtil.matchMethodsType(dataSet.get(0).getClass(), sqlParamsModel.getParamsName());
                }
                // 做sql签名
                realSql = SqlUtilsExt.signSql(realSql, dbType, sqlToyConfig);
                SqlExecuteStat.showSql("批量sql执行", realSql, null);
                this.setResult(SqlUtil.batchUpdateByJdbc(sqlToyContext.getTypeHandler(), realSql, values, batchSize, insertCallhandler, fieldTypes, autoCommit, conn, dbType));
            }
        });
        // 输出执行结果更新记录量日志
        SqlExecuteStat.debug("执行结果", "批量更新记录数量:{} 条!", updateTotalCnt);
        return updateTotalCnt;
    } catch (Exception e) {
        SqlExecuteStat.error(e);
        throw new DataAccessException(e);
    } finally {
        // 输出执行效率和超时、错误日志
        SqlExecuteStat.destroy();
    }
}

Example 23 with DataAccessException

use of org.sagacity.sqltoy.exception.DataAccessException in project sagacity-sqltoy by chenrenfei.

the class DialectFactory method getRandomResult.

/**
 * @todo 取随机记录
 * @param sqlToyContext
 * @param queryExecutor
 * @param sqlToyConfig
 * @param randomCount
 * @param dataSource
 * @return
 */
public QueryResult getRandomResult(final SqlToyContext sqlToyContext, final QueryExecutor queryExecutor, final SqlToyConfig sqlToyConfig, final Double randomCount, final DataSource dataSource) {
    final QueryExecutorExtend extend = queryExecutor.getInnerModel();
    if (extend.sql == null) {
        throw new IllegalArgumentException("getRandomResult operate sql is null!");
    }
    try {
        Long startTime = System.currentTimeMillis();
        // 规整查询参数名称和参数名称对应的值
        QueryExecutorBuilder.initQueryExecutor(sqlToyContext, extend, sqlToyConfig, (randomCount < 1) ? true : false);
        SqlExecuteStat.start(sqlToyConfig.getId(), "getRandomResult", sqlToyConfig.isShowSql());
        QueryResult result = (QueryResult) DataSourceUtils.processDataSource(sqlToyContext, ShardingUtils.getShardingDataSource(sqlToyContext, sqlToyConfig, queryExecutor, dataSource), new DataSourceCallbackHandler() {

            @Override
            public void doConnection(Connection conn, Integer dbType, String dialect) throws Exception {
                // 处理sql中的?为统一的:named形式，并进行sharding table替换
                SqlToyConfig realSqlToyConfig = DialectUtils.getUnifyParamsNamedConfig(sqlToyContext, sqlToyConfig, queryExecutor, dialect, (randomCount < 1) ? true : false);
                // 判断数据库是否支持取随机记录(只有informix和sybase不支持)
                Long totalCount = null;
                Long randomCnt;
                // 记录数量大于1表示取随机记录数量
                if (randomCount >= 1) {
                    randomCnt = randomCount.longValue();
                } else // 按比例提取
                {
                    // 提取总记录数
                    if (totalCount == null) {
                        totalCount = getCountBySql(sqlToyContext, realSqlToyConfig, queryExecutor, conn, dbType, dialect);
                    }
                    randomCnt = Double.valueOf(totalCount * randomCount.doubleValue()).longValue();
                    SqlExecuteStat.debug("过程提示", "按比例提取总记录数:{}条,需取随机记录:{}条!", totalCount, randomCnt);
                    // 如果总记录数不为零，randomCnt最小为1
                    if (totalCount >= 1 && randomCnt < 1) {
                        randomCnt = 1L;
                    }
                }
                QueryResult queryResult;
                // 总记录数为零
                if (totalCount != null && totalCount == 0) {
                    queryResult = new QueryResult();
                    queryResult.setRows(new ArrayList());
                    this.setResult(queryResult);
                    logger.warn("getRandom,total Records is zero,please check sql!sqlId={}", sqlToyConfig.getIdOrSql());
                    return;
                }
                queryResult = getDialectSqlWrapper(dbType).getRandomResult(sqlToyContext, realSqlToyConfig, queryExecutor, wrapDecryptHandler(sqlToyContext, extend.resultType), totalCount, randomCnt, conn, dbType, dialect, getFetchSize(extend.fetchSize), extend.maxRows);
                if (queryResult.getRows() != null && !queryResult.getRows().isEmpty()) {
                    // 存在计算和旋转的数据不能映射到对象(数据类型不一致，如汇总平均以及数据旋转)
                    List pivotCategorySet = ResultUtils.getPivotCategory(sqlToyContext, realSqlToyConfig, queryExecutor, conn, dbType, dialect);
                    // 对查询结果进行计算处理:字段脱敏、格式化、数据旋转、同步环比、分组汇总等
                    boolean changedCols = ResultUtils.calculate(sqlToyContext.getDesensitizeProvider(), realSqlToyConfig, queryResult, pivotCategorySet, extend);
                    // 将结果映射对象单独出来为了解耦，性能影响其实可以忽略，上万条也是1毫秒级
                    if (extend.resultType != null) {
                        queryResult.setRows(ResultUtils.wrapQueryResult(sqlToyContext, queryResult.getRows(), queryResult.getLabelNames(), (Class) extend.resultType, changedCols, extend.humpMapLabel, extend.hiberarchy, extend.hiberarchyClasses, extend.fieldsMap));
                    }
                }
                SqlExecuteStat.debug("查询结果", "取得随机记录数:{}条!", queryResult.getRecordCount());
                this.setResult(queryResult);
            }
        });
        result.setExecuteTime(System.currentTimeMillis() - startTime);
        return result;
    } catch (Exception e) {
        SqlExecuteStat.error(e);
        throw new DataAccessException(e);
    } finally {
        SqlExecuteStat.destroy();
    }
}

Example 24 with DataAccessException

use of org.sagacity.sqltoy.exception.DataAccessException in project sagacity-sqltoy by chenrenfei.

the class DialectFactory method update.

/**
 * @todo 修改单个对象
 * @param sqlToyContext
 * @param entity
 * @param uniqueFields             唯一性索引字段
 * @param forceUpdateFields
 * @param cascade
 * @param forceCascadeClass
 * @param subTableForceUpdateProps
 * @param dataSource
 * @return
 */
public Long update(final SqlToyContext sqlToyContext, final Serializable entity, final String[] forceUpdateFields, final boolean cascade, final Class[] forceCascadeClass, final HashMap<Class, String[]> subTableForceUpdateProps, final DataSource dataSource) {
    if (entity == null) {
        logger.warn("update entity is null,please check!");
        return 0L;
    }
    try {
        SqlExecuteStat.start(BeanUtil.getEntityClass(entity.getClass()).getName(), "update", null);
        final ShardingModel shardingModel = ShardingUtils.getSharding(sqlToyContext, entity, false, dataSource);
        Long updateTotalCnt = (Long) DataSourceUtils.processDataSource(sqlToyContext, shardingModel.getDataSource(), new DataSourceCallbackHandler() {

            @Override
            public void doConnection(Connection conn, Integer dbType, String dialect) throws Exception {
                this.setResult(getDialectSqlWrapper(dbType).update(sqlToyContext, entity, forceUpdateFields, cascade, forceCascadeClass, subTableForceUpdateProps, conn, dbType, dialect, shardingModel.getTableName()));
            }
        });
        SqlExecuteStat.debug("执行结果", "update操作影响记录量:{} 条!", updateTotalCnt);
        return updateTotalCnt;
    } catch (Exception e) {
        SqlExecuteStat.error(e);
        throw new DataAccessException(e);
    } finally {
        SqlExecuteStat.destroy();
    }
}

Example 25 with DataAccessException

use of org.sagacity.sqltoy.exception.DataAccessException in project sagacity-sqltoy by chenrenfei.

the class DialectFactory method executeSql.

/**
 * @todo 执行sql修改性质的操作语句
 * @param sqlToyContext
 * @param sqlToyConfig
 * @param queryExecutor
 * @param paramsTypes
 * @param autoCommit
 * @param dataSource
 * @return
 */
public Long executeSql(final SqlToyContext sqlToyContext, final SqlToyConfig sqlToyConfig, final QueryExecutor queryExecutor, final Integer[] paramsTypes, final Boolean autoCommit, final DataSource dataSource) {
    try {
        SqlExecuteStat.start(sqlToyConfig.getId(), "executeSql", sqlToyConfig.isShowSql());
        // 将修改语句当做特殊的查询，其处理过程在交jdbc执行前完全一致
        final QueryExecutorExtend extend = queryExecutor.getInnerModel();
        // 组织参数和参数校验，但忽视数据权限数据的传参和校验
        QueryExecutorBuilder.initQueryExecutor(sqlToyContext, extend, sqlToyConfig, false);
        Long updateTotalCnt = (Long) DataSourceUtils.processDataSource(sqlToyContext, ShardingUtils.getShardingDataSource(sqlToyContext, sqlToyConfig, queryExecutor, dataSource), new DataSourceCallbackHandler() {

            @Override
            public void doConnection(Connection conn, Integer dbType, String dialect) throws Exception {
                // 进行sharding table替换
                SqlToyConfig realSqlToyConfig = DialectUtils.getUnifyParamsNamedConfig(sqlToyContext, sqlToyConfig, queryExecutor, dialect, false);
                SqlToyResult queryParam = SqlConfigParseUtils.processSql(realSqlToyConfig.getSql(dialect), extend.getParamsName(sqlToyConfig), extend.getParamsValue(sqlToyContext, realSqlToyConfig), dialect);
                // 做sql签名
                String executeSql = SqlUtilsExt.signSql(queryParam.getSql(), dbType, realSqlToyConfig);
                this.setResult(SqlUtil.executeSql(sqlToyContext.getTypeHandler(), executeSql, queryParam.getParamsValue(), paramsTypes, conn, dbType, autoCommit, false));
            }
        });
        SqlExecuteStat.debug("执行结果", "受影响记录数量:{} 条!", updateTotalCnt);
        return updateTotalCnt;
    } catch (Exception e) {
        SqlExecuteStat.error(e);
        throw new DataAccessException(e);
    } finally {
        SqlExecuteStat.destroy();
    }
}