WITH a1 as( SELECT c_id, max(score) as score FROM sc GROUP BY c_id ) SELECT sc.s_id,sc.c_id,sc.score from sc INNER JOIN a1 on sc.score = a1.score and a1.c_id = sc.c_id ORDER BY sc.score , sc.c_id GROUP BY sc.c_id,sc.score,sc.s_id HAVING MIN(sc.s_id) = sc.s_id 这个sql有什么语法错误
时间: 2024-04-11 19:26:34 浏览: 85
这个 SQL 查询有一个语法错误。错误出现在最后的 `GROUP BY` 子句之前,`ORDER BY` 子句之后。根据 SQL 标准,`GROUP BY` 子句应该在 `ORDER BY` 之前。你可以尝试将 `GROUP BY` 子句移动到 `ORDER BY` 子句之前,以修复这个错误。修正后的 SQL 查询如下所示:
```sql
WITH a1 AS (
SELECT c_id, MAX(score) AS score
FROM sc
GROUP BY c_id
)
SELECT sc.s_id, sc.c_id, sc.score
FROM sc
INNER JOIN a1 ON sc.score = a1.score AND a1.c_id = sc.c_id
GROUP BY sc.c_id, sc.score, sc.s_id
HAVING MIN(sc.s_id) = sc.s_id
ORDER BY sc.score, sc.c_id;
```
请注意,我对 SQL 查询进行了格式化,以使其更加可读。希望对你有帮助!如果你还有其他问题,请随时提问。
相关问题
select '2023-07-14' as sjrq, a1.s_id as s_id, a2.a1_bqnr shengao, a2.a1_bqnrmc shengao_tag_desc_ from ( select a1.s_id as s_id from biaoqian.student_class a1 ) a1 left join (select t.zj, s1.bqnr as a1_bqnr, s1.bqnrmc as a1_bqnrmc from (select t.zj from( select zj from default.lab_t10_df where yjfq = '2023-07-14' and ejfq = '1010' and sjfq = '10101007') t GROUP BY t.zj) t left join (select sjrq,cjsj,zj,bqbs,bqbslx,bqnr,bqnrmc,ylzd1,ylzd2 from default.lab_t10_df where yjfq = '2023-07-14' and ejfq = '1010' and sjfq = '10101007') s1 on t.zj= s1.zj distribute by t.zj) a2 on a1.s_id= a2.zj是什么中文意思
该 SQL 查询语句的中文意思是:从多个子查询和表连接的结果中选择了四个列,分别是:`'2023-07-14'`(作为别名 `sjrq`)、`a1.s_id`(作为别名 `s_id`)、`a2.a1_bqnr`(作为别名 `shengao`)和 `a2.a1_bqnrmc`(作为别名 `shengao_tag_desc_`)。
具体操作如下:
1. 在子查询 `a1` 中,从表 `biaoqian.student_class` 中选择了 `a1.s_id` 列(作为别名 `s_id`)。
2. 在子查询 `a2` 中,进行了一系列操作:
a. 从子查询 `t` 中选择了 `t.zj` 列。这个子查询是从表 `default.lab_t10_df` 中选择了满足条件 `yjfq = '2023-07-14' and ejfq = '1010' and sjfq = '10101007'` 的 `zj` 列,并按照 `zj` 进行分组。
b. 将子查询 `t` 的结果与表 `default.lab_t10_df` 进行左连接,连接条件是 `t.zj = s1.zj`,并选择了一些列作为结果集。这些列包括了 `sjrq, cjsj, zj, bqbs, bqbslx, bqnr, bqnrmc, ylzd1, ylzd2`。同样,这些数据也需要满足条件 `yjfq = '2023-07-14' and ejfq = '1010' and sjfq = '10101007'。
3. 最后,将子查询 `a1` 和 `a2` 进行左连接,连接条件是 `a1.s_id = a2.zj`。
请注意,我只是一个 AI 模型,无法直接执行该查询操作。您需要使用相应的数据库管理工具或编程语言来执行该查询。
explain select count(0) from ( select distinct RES.ID_, RES.NAME_, ART.ASSIGNEE_, A0.TEXT_ as 'status', RES.START_TIME_, RES.END_TIME_, RES.BUSINESS_KEY_ from ACT_HI_PROCINST RES left outer join ACT_RE_PROCDEF DEF on RES.PROC_DEF_ID_ = DEF.ID_ inner join ACT_HI_VARINST A0 on RES.PROC_INST_ID_ = A0.PROC_INST_ID_ and a0.TASK_ID_ is null and A0.NAME_ = '@global_process_status' and A0.VAR_TYPE_ = 'integer' inner join ACT_HI_VARINST A1 on RES.PROC_INST_ID_ = A0.PROC_INST_ID_ and a0.TASK_ID_ is null and A1.NAME_ = '@process_form_structure' and A1.VAR_TYPE_ = 'string' left join ACT_RU_TASK ART on RES.ID_ = art.PROC_INST_ID_ where (exists ( select LINK.USER_ID_ from ACT_HI_IDENTITYLINK LINK where USER_ID_ in ("1") and LINK.PROC_INST_ID_ = RES.ID_))) table_count 怎么加索引
首先需要确认哪些列在查询中使用频繁,可以使用 EXPLAIN 分析查询语句,找到慢查询的具体原因。
在这个查询中,以下列被使用了:
- ACT_HI_PROCINST.START_TIME_
- ACT_HI_PROCINST.END_TIME_
- ACT_HI_PROCINST.BUSINESS_KEY_
- ACT_RU_TASK.ASSIGNEE_
因此,可以考虑在这些列上创建索引来优化查询性能。具体如下:
```
CREATE INDEX idx_act_hi_procinst_start_end_time ON ACT_HI_PROCINST (START_TIME_, END_TIME_);
CREATE INDEX idx_act_hi_procinst_business_key ON ACT_HI_PROCINST (BUSINESS_KEY_);
CREATE INDEX idx_act_ru_task_assignee ON ACT_RU_TASK (ASSIGNEE_);
```
注意,索引并不是万能的,需要根据实际情况进行优化和调整。
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