SELECT b.CallerNum, b.Duration duration, min(b.CRT_TIME_) abnormalTime, count(b.CallerNum) abnormalCallNumber, count(b.CallerNum) abnormalCallTotal FROM basebill b left join billdetails b2 on b.base_bill_id =b2.base_bill_id where b2.area_code_ != 86 and b.billType = 1 and b.IS_DELETE_ = 0 and b.CRT_TIME_ >= '2023-06-06 13:00:00' and b.CRT_TIME_ <= '2023-06-06 15:00:00' and ( (b.Duration >=900) or (b.CallerNum in (SELECT b.CallerNum FROM basebill b left join billdetails b2 on b.base_bill_id =b2.base_bill_id where b2.area_code_ != 86 and b.billType = 1 and b.IS_DELETE_ = 0 and b.CRT_TIME_ >= '2023-06-06 13:00:00' and b.CRT_TIME_ <= '2023-06-06 15:00:00' GROUP BY b.CallerNum HAVING COUNT(b.CallerNum) >= 5)) or ((SELECT COUNT(*) FROM basebill b1 left join billdetails b2 on b1.base_bill_id =b2.base_bill_id where b2.area_code_ != 86 and b1.billType = 1 and b1.IS_DELETE_ = 0 and b1.CRT_TIME_ >= '2023-06-06 13:00:00' and b1.CRT_TIME_ <= '2023-06-06 15:00:00' and b1.CallerNum = b.CallerNum ) >= 10) ) group by b.CallerNum优化这条sql的查询速度

针对这条SQL语句，可以考虑以下几个优化方案：

1. 对where条件中的字段建立索引：对于b2.area_code_、b.billType、b.IS_DELETE_、b.CRT_TIME_、b.Duration、b.CallerNum等字段，建立相应的索引，可以提高查询效率。

2. 避免使用子查询：子查询会增加查询的复杂度，影响查询速度。可以将子查询改写为join操作，或者使用临时表来存储查询结果。

3. 避免重复查询：在where条件和select语句中都有重复查询的情况，可以将重复查询的部分提取出来，减少查询次数。

4. 分批查询：将查询时间段分成多个小段，避免一次查询过多数据，导致查询速度变慢。

5. 对于大表使用分区表：如果表中数据量较大，可以将表进行分区，以提高查询效率。

6. 定期清理无用数据：定期清理已经无用的数据，可以减少查询时的数据量，提高查询速度。

综上所述，以上优化方案可以针对不同的情况进行选择，以提高SQL语句的查询速度。

相关问题

SELECT b.CallerNum, b.Duration duration, min(b.CRT_TIME_) abnormalTime, count(b.CallerNum) abnormalCallNumber, count(b.CallerNum) abnormalCallTotal FROM basebill b left join billdetails b2 on b.base_bill_id =b2.base_bill_id where b2.area_code_ != 86 and b.billType = 1 and b.IS_DELETE_ = 0 and b.CRT_TIME_ >= '2023-06-06 13:00:00' and b.CRT_TIME_ <= '2023-06-06 15:00:00' and ( (b.Duration >=900) or (b.CallerNum in (SELECT b.CallerNum FROM basebill b left join billdetails b2 on b.base_bill_id =b2.base_bill_id where b2.area_code_ != 86 and b.billType = 1 and b.IS_DELETE_ = 0 and b.CRT_TIME_ >= '2023-06-06 13:00:00' and b.CRT_TIME_ <= '2023-06-06 15:00:00' GROUP BY b.CallerNum HAVING COUNT(b.CallerNum) >= 5)) or ((SELECT COUNT(*) FROM basebill b1 left join billdetails b2 on b1.base_bill_id =b2.base_bill_id where b2.area_code_ != 86 and b1.billType = 1 and b1.IS_DELETE_ = 0 and b1.CRT_TIME_ >= '2023-06-06 13:00:00' and b1.CRT_TIME_ <= '2023-06-06 15:00:00' and b1.CallerNum = b.CallerNum ) >= 10) ) group by b.CallerNum优化这条sql的查询速度，具体做法

具体做法如下：

1. 对where条件中的字段建立索引：针对b2.area_code_、b.billType、b.IS_DELETE_、b.CRT_TIME_、b.Duration、b.CallerNum等字段建立相应的索引，可以提高查询效率。

2. 避免使用子查询：将子查询改写成join操作，可以提高查询速度。例如：

SELECT b.CallerNum, b.Duration duration, min(b.CRT_TIME_) abnormalTime, count(b.CallerNum) abnormalCallNumber, count(b.CallerNum) abnormalCallTotal 
FROM basebill b 
LEFT JOIN billdetails b2 ON b.base_bill_id = b2.base_bill_id 
LEFT JOIN (SELECT CallerNum, COUNT(*) AS cnt FROM basebill WHERE IS_DELETE_ = 0 AND CRT_TIME_ >= '2023-06-06 13:00:00' AND CRT_TIME_ <= '2023-06-06 15:00:00' GROUP BY CallerNum HAVING COUNT(*) >= 5) AS t1 ON b.CallerNum = t1.CallerNum 
LEFT JOIN (SELECT CallerNum, COUNT(*) AS cnt FROM basebill WHERE IS_DELETE_ = 0 AND CRT_TIME_ >= '2023-06-06 13:00:00' AND CRT_TIME_ <= '2023-06-06 15:00:00' GROUP BY CallerNum HAVING COUNT(*) >= 10) AS t2 ON b.CallerNum = t2.CallerNum 
WHERE b2.area_code_ != 86 AND b.billType = 1 AND b.IS_DELETE_ = 0 AND b.CRT_TIME_ >= '2023-06-06 13:00:00' AND b.CRT_TIME_ <= '2023-06-06 15:00:00' AND (b.Duration >= 900 OR t1.CallerNum IS NOT NULL OR t2.CallerNum IS NOT NULL) 
GROUP BY b.CallerNum

3. 避免重复查询：在where条件和select语句中都有重复查询的情况，可以将重复查询的部分提取出来，减少查询次数。例如：

SELECT b.CallerNum, b.Duration duration, min(b.CRT_TIME_) abnormalTime, count(b.CallerNum) abnormalCallNumber, count(b.CallerNum) abnormalCallTotal 
FROM basebill b 
LEFT JOIN billdetails b2 ON b.base_bill_id = b2.base_bill_id 
LEFT JOIN (SELECT CallerNum, COUNT(*) AS cnt FROM basebill WHERE IS_DELETE_ = 0 AND CRT_TIME_ >= '2023-06-06 13:00:00' AND CRT_TIME_ <= '2023-06-06 15:00:00' GROUP BY CallerNum HAVING COUNT(*) >= 5) AS t1 ON b.CallerNum = t1.CallerNum 
LEFT JOIN (SELECT CallerNum, COUNT(*) AS cnt FROM basebill WHERE IS_DELETE_ = 0 AND CRT_TIME_ >= '2023-06-06 13:00:00' AND CRT_TIME_ <= '2023-06-06 15:00:00' GROUP BY CallerNum HAVING COUNT(*) >= 10) AS t2 ON b.CallerNum = t2.CallerNum 
WHERE b2.area_code_ != 86 AND b.billType = 1 AND b.IS_DELETE_ = 0 AND b.CRT_TIME_ BETWEEN '2023-06-06 13:00:00' AND '2023-06-06 15:00:00' AND (b.Duration >= 900 OR t1.CallerNum IS NOT NULL OR t2.CallerNum IS NOT NULL) 
GROUP BY b.CallerNum, b.Duration, abnormalTime

4. 分批查询：将查询时间段分成多个小段，避免一次查询过多数据，导致查询速度变慢。

5. 对于大表使用分区表：如果表中数据量较大，可以将表进行分区，以提高查询效率。

6. 定期清理无用数据：定期清理已经无用的数据，可以减少查询时的数据量，提高查询速度。

综上所述，以上优化方案可以针对不同的情况进行选择，以提高SQL语句的查询速度。

SELECT K.LOG_TIME ,COUNT(K.USER_ID) AS 当天的新增用户数 ,COUNT(B.USER_ID) AS 1 日留存率 ,COUNT(C.USER_ID) AS 7 日留存率 ,COUNT(D.USER_ID) AS 30 日留存率 FROM ( SELECT A.USER_ID ,A.LOG_TIME FROM TAB1 A GROUP BY A.USER_ID,A.LOG_TIME ) K LEFT JOIN (SELECT A.USER_ID ,A.LOG_TIME FROM TAB1 A GROUP BY A.USER_ID,A.LOG_TIME ) B ON B.USER_ID = K.USER_ID AND B.LOG_TIME = K.LOG_TIME + 1 LEFT JOIN (SELECT A.USER_ID ,A.LOG_TIME FROM TAB1 A GROUP BY A.USER_ID,A.LOG_TIME) C ON C.USER_ID = K.USER_ID AND C.LOG_TIME = K.LOG_TIME + 6 LEFT JOIN (SELECT A.USER_ID ,A.LOG_TIME FROM TAB1 A GROUP BY A.USER_ID,A.LOG_TIME ) D ON D.USER_ID = K.USER_ID AND D.LOG_TIME = K.LOG_TIME + 29 WHERE K.LOG_TIME = DATE'2019-05-01' GROUP BY K.LOG_TIME ORDER BY K.LOG_TIME ; 这句sql是什么意思

这个 SQL 查询语句用于计算某一天的新增用户数和该天新增用户在接下来的 1、7、30 天内的留存率。具体的 SQL 语句如下：

SELECT 
    K.LOG_TIME,
    COUNT(K.USER_ID) AS 当天的新增用户数,
    COUNT(B.USER_ID) AS 1 日留存率,
    COUNT(C.USER_ID) AS 7 日留存率,
    COUNT(D.USER_ID) AS 30 日留存率
FROM 
    (SELECT 
        A.USER_ID,
        A.LOG_TIME
    FROM 
        TAB1 A
    GROUP BY 
        A.USER_ID, A.LOG_TIME) K
    LEFT JOIN 
        (SELECT 
            A.USER_ID,
            A.LOG_TIME
        FROM 
            TAB1 A
        GROUP BY 
            A.USER_ID, A.LOG_TIME) B
        ON B.USER_ID = K.USER_ID 
        AND B.LOG_TIME = K.LOG_TIME + 1
    LEFT JOIN 
        (SELECT 
            A.USER_ID,
            A.LOG_TIME
        FROM 
            TAB1 A
        GROUP BY 
            A.USER_ID, A.LOG_TIME) C
        ON C.USER_ID = K.USER_ID 
        AND C.LOG_TIME = K.LOG_TIME + 6
    LEFT JOIN 
        (SELECT 
            A.USER_ID,
            A.LOG_TIME
        FROM 
            TAB1 A
        GROUP BY 
            A.USER_ID, A.LOG_TIME) D
        ON D.USER_ID = K.USER_ID 
        AND D.LOG_TIME = K.LOG_TIME + 29
WHERE 
    K.LOG_TIME = DATE'2019-05-01'
GROUP BY 
    K.LOG_TIME
ORDER BY 
    K.LOG_TIME;

这个查询语句使用了多个 SQL 关键字和函数，下面对每个部分进行解释：

- `SELECT`：用于指定需要查询的列，可以使用别名来改变列名。
- `COUNT`：用于计算每个留存时间段内的用户数。
- `FROM`：用于指定查询的表以及表之间的连接方式。
- `LEFT JOIN`：用于指定表之间的连接方式，左连接会返回左表中的所有记录和右表中匹配的记录。
- `GROUP BY`：用于指定分组的列，需要与聚合函数一起使用。
- `ORDER BY`：用于指定查询结果的排序方式。

这个查询语句中使用了多个表之间的连接，并且使用了 LEFT JOIN 进行左连接，这个语法在 SQL 中也是支持的。同时，需要注意在 Hive 中分组查询和聚合函数的使用方式与传统的 SQL 有些不同，需要仔细阅读 Hive 的文档和教程。