自定义Mybatis-plus插件(限制最大查询数量)

需求背景

一次查询如果结果返回太多（1万或更多），往往会导致系统性能下降，有时更会内存不足，影响系统稳定性，故需要做限制。

解决思路

1.经分析最后决定，应限制一次查询返回的最大结果数量不应该超出1万，对于一次返回结果大于限制的时候应该抛出异常，而不应该截取(limit 10000)最大结果(结果需求不匹配)。

2.利用mybatis拦截器技术，统一拦截sql,并真对大结果的查询先做一次count查询。

步骤一

1.1 定义拦截器PreCheckBigQueryInnerInterceptor

public class PreCheckBigQueryInnerInterceptor implements InnerInterceptor {}

1.2 重写willDoQuery方法

 public boolean willDoQuery(Executor executor, MappedStatement ms, Object parameter, RowBounds rowBounds, ResultHandler resultHandler, BoundSql boundSql) throws SQLException {
        // 解析sql
        Statement stmt = CCJSqlParserUtil.parse(boundSql.getSql());
        if (stmt instanceof Select) {
            PlainSelect selectStmt = (PlainSelect) ((Select) stmt).getSelectBody();
            if (Objects.nonNull(selectStmt.getLimit())) {
                //包含limit查询
                return true;
            }
            for (SelectItem selectItem : selectStmt.getSelectItems()) {
                //计数查询 count();
                SelectExpressionItem selectExpressionItem = (SelectExpressionItem) selectItem;
                if (selectExpressionItem.getExpression() instanceof Function) {
                    //包含function查询
                    return true;
                }
            }
            Long aLong = doQueryCount(executor, ms, parameter, rowBounds, resultHandler, boundSql);
            if (aLong == 0L) {
                return false;
            }
            if (aLong > 20) {
                throw new RuntimeException("单个查询结果大于20条!!!");
            }
        }
        return true;
    }

1.3 代码解析

1.3.1 利用CCJSqlParserUtil解析sql，并判断sql类型，只对Select的SQL拦击.

1.3.2 对于已有limit的sql查询,直接放行.

1.3.3 对于包含function查询（例如count（1）计算，max（）…）,直接放行.

1.3.4 否则判断为大结果查询，执行（doQueryCount）与查询数量.

1.3.5 对于大于指定数量的结果，抛出异常.

1.4 定义doQueryCount方法

private Long doQueryCount(Executor executor, MappedStatement ms, Object parameter, RowBounds rowBounds, ResultHandler resultHandler, BoundSql boundSql) throws SQLException {
        MappedStatement countMs = buildAutoCountMappedStatement(ms);
        String countSqlStr = autoCountSql(true, boundSql.getSql());
        PluginUtils.MPBoundSql mpBoundSql = PluginUtils.mpBoundSql(boundSql);
        BoundSql countSql = new BoundSql(countMs.getConfiguration(), countSqlStr, mpBoundSql.parameterMappings(), parameter);
        PluginUtils.setAdditionalParameter(countSql, mpBoundSql.additionalParameters());
        CacheKey cacheKey = executor.createCacheKey(countMs, parameter, rowBounds, countSql);
        Object result = executor.query(countMs, parameter, rowBounds, resultHandler, cacheKey, countSql).get(0);
        System.out.println(result);
        return (result == null ? 0L : Long.parseLong(result.toString()));
    }

代码解读：参考PaginationInnerInterceptor（mybatis-plus）分页插件

1.4.1：构造MappedStatement对象buildAutoCountMappedStatement(ms)，MappedStatement相当于一个存储 SQL 语句、输入参数和输出结果映射等信息的封装体，它对应一条 SQL 语句，并包含了该 SQL 语句执行所需的所有信息。如下代码

注意：必须重新构造，不能直接使用入参中的ms

1.4.2：autoCountSql(true, boundSql.getSql()) 定义并优化计数查询语句

String.format("SELECT COUNT(1) FROM (%s) TOTAL", originalSql);

1.4.3: 执行查询executor.query

步骤二

1.1 注册拦截器PreCheckBigQueryInnerInterceptor

@Bean
public MybatisPlusInterceptor mybatisPlusInterceptor() {
    MybatisPlusInterceptor interceptor = new MybatisPlusInterceptor();
    interceptor.addInnerInterceptor(new PaginationInnerInterceptor(DbType.MYSQL));//分页插件(Mybatis-plus)
    interceptor.addInnerInterceptor(new BlockAttackInnerInterceptor());//防止全表更新(Mybatis-plus)
    interceptor.addInnerInterceptor(new PreCheckBigQueryInnerInterceptor());//防止全表查询(自定义插件)
    return interceptor;
}

知识小结:

MybatisPlusInterceptor

public class MybatisPlusInterceptor implements Interceptor {
    @Setter
    private List interceptors = new ArrayList();
}

他是基于mybatis的Interceptor接口做的拦截器,上文中我们注册拦截器PreCheckBigQueryInnerInterceptor的拦截器其实添加到MybatisPlusInterceptor.interceptors集合中。

为啥重写willDoQuery见代码而不是beforeQuery

 public Object intercept(Invocation invocation) throws Throwable {
       ......
                for (InnerInterceptor query : interceptors) {
                    if (!query.willDoQuery(executor, ms, parameter, rowBounds, resultHandler, boundSql)) {
                        return Collections.emptyList();
                    }
                    query.beforeQuery(executor, ms, parameter, rowBounds, resultHandler, boundSql);
                }
     ......
        return invocation.proceed();
 }

2.1 willDoQuery先于beforeQuery方法，且一定会执行

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