1、單獨獲取失敗或成功的數據，並根據areaCode分組很好寫：

SELECT p2.areaCode,COUNT(1) FROM vrv_paw_rulestatus p2 WHERE executeResult=1 GROUP BY p2.areaCode

2、如果要根據areaCode分組獲取失敗的和成功的統計，在一條數據裏，就需要一定的技巧在裏面：

SELECT a.code,
(SELECT COUNT(1) FROM vrv_paw_rulestatus p2 WHERE executeResult=1 and p2.areaCode = p.areaCode ) AS count_0,
(SELECT COUNT(1) FROM vrv_paw_rulestatus p2 WHERE executeResult=0 and p2.areaCode =
 
 p.areaCode ) AS count_1 
FROM vrv_paw_area a LEFT JOIN vrv_paw_rulestatus p ON p.areaCode=a.code 
where 1=1 
GROUP BY a.code

　　public List<Object[]> queryBaseLineGroup(String areaCode, String startIP, String endIP) {
        StringBuffer hql = new StringBuffer("SELECT a.code,"
                + "
 
(SELECT COUNT(1)  FROM vrv_paw_rulestatus p2 WHERE executeResult=1 and p2.areaCode = p.areaCode ) AS count_0  "
                + "FROM vrv_paw_area a LEFT JOIN vrv_paw_rulestatus p ON p.areaCode=a.code  where 1=1 ");
        if (StringUtils.isNotBlank(areaCode)) {
            hql.append(" AND a.code =‘
 
"+areaCode+"‘");
        }
        hql.append("GROUP BY a.code ");
                
        List<Object[]> list = getSession().createSQLQuery(hql.toString()).list();
        return list;
    }

根據某字段分組，獲取當前數據成功或失敗各自的統計數