请优化以下代码dd = [] sql = '''select distinct data_z from luzhi_jilu_all where id_ts='{}' '''.format(id) co.to_sql(sql) jg = cs.fetchall() for j in jg: sql = '''select count(*) from luzhi_jilu_all where id_ts='{0}' and date_z='{1}' and isDelete='完成' '''.format(id,j[0]) co.to_sql(sql) n1 = cs.fetchone() sql = '''select count(*) from luzhi_jilu_all where id_ts='{0}' and date_z='{1}' and isDelete!='完成' '''.format(id,j[0]) co.to_sql(sql) n2 = cs.fetchone() dd.append([j[0],n1[0],n2[0]])

可以将代码中的多次 SQL 查询优化为一次查询，将查询结果存储到字典中，再遍历列表进行统计。以下是优化后的代码：

sql = '''select date_z, count(case when isDelete='完成' then 1 else null end) as n1, count(case when isDelete!='完成' then 1 else null end) as n2 from luzhi_jilu_all where id_ts='{}' group by date_z'''.format(id)
co.to_sql(sql)
jg = cs.fetchall()
dd = [[j[0], j[1], j[2]] for j in jg]

这样做可以减少 SQL 查询的次数，提高代码的效率。

相关问题

SELECT DISTINCT ( A.DATA_TYPE ) AS DATA_TYPE, A.DATA_VALUE AS TSL, IFNULL(( SELECT B.DATA_VALUE FROM YXDDZH_MIDDLE.GZ_SCREEN_JGSY_SDHJ_SPFW_CITY_AREA_DATA B WHERE B.IS_DELETED = 0 AND B.DATA_DIMENSION = '期末' AND B.LEVEL = 2 AND B.DATA_NAME = '举报' AND B.DATA_AREA = '市级' AND B.DATA_TYPE = A.DATA_TYPE AND B.DATA_TIME = ( SELECT MAX( DATA_TIME ) FROM YXDDZH_MIDDLE.GZ_SCREEN_JGSY_SDHJ_SPFW_CITY_AREA_DATA WHERE IS_DELETED = 0 AND DATA_DIMENSION = '期末' AND DATA_NAME = '举报' AND LEVEL = 2 AND DATA_AREA = '市级' ) ), 0 ) AS JBL, CURRENT_ID FROM YXDDZH_MIDDLE.GZ_SCREEN_JGSY_SDHJ_SPFW_CITY_AREA_DATA A WHERE A.IS_DELETED = 0 AND A.DATA_DIMENSION = '期末' AND A.LEVEL = 2 AND A.DATA_NAME = '投诉' AND A.DATA_AREA = '市级' AND A.DATA_TIME = ( SELECT MAX( DATA_TIME ) FROM YXDDZH_MIDDLE.GZ_SCREEN_JGSY_SDHJ_SPFW_CITY_AREA_DATA WHERE IS_DELETED = 0 AND DATA_DIMENSION = '期末' AND DATA_NAME = '投诉' AND LEVEL = 2 AND DATA_AREA = '市级')这个sql 优化

对于这个SQL查询语句的优化，可以考虑以下几点：

1. 使用JOIN语句代替子查询：将子查询转换为JOIN语句，可以提高查询性能。

2. 添加适当的索引：根据查询条件和连接条件，为相关表添加合适的索引，以加快查询速度。

3. 减少重复的条件判断：在子查询和主查询中，有一些条件判断是重复的，可以将它们提取出来，避免重复计算。

4. 使用表别名：为表和字段使用简短的别名，提高查询语句的可读性。

下面是对原始SQL查询语句进行优化的示例：

SELECT DISTINCT
A.DATA_TYPE AS DATA_TYPE,
A.DATA_VALUE AS TSL,
IFNULL(B.DATA_VALUE, 0) AS JBL,
A.CURRENT_ID
FROM
YXDDZH_MIDDLE.GZ_SCREEN_JGSY_SDHJ_SPFW_CITY_AREA_DATA A
LEFT JOIN
(
SELECT
DATA_TYPE, DATA_VALUE
FROM
YXDDZH_MIDDLE.GZ_SCREEN_JGSY_SDHJ_SPFW_CITY_AREA_DATA
WHERE
IS_DELETED = 0
AND DATA_DIMENSION = '期末'
AND DATA_NAME = '举报'
AND LEVEL = 2
AND DATA_AREA = '市级'
AND DATA_TIME = (
SELECT MAX(DATA_TIME)
FROM YXDDZH_MIDDLE.GZ_SCREEN_JGSY_SDHJ_SPFW_CITY_AREA_DATA
WHERE
IS_DELETED = 0
AND DATA_DIMENSION = '期末'
AND DATA_NAME = '举报'
AND LEVEL = 2
AND DATA_AREA = '市级'
)
) B ON A.DATA_TYPE = B.DATA_TYPE
WHERE
A.IS_DELETED = 0
AND A.DATA_DIMENSION = '期末'
AND A.LEVEL = 2
AND A.DATA_NAME = '投诉'
AND A.DATA_AREA = '市级'
AND A.DATA_TIME = (
SELECT MAX(DATA_TIME)
FROM YXDDZH_MIDDLE.GZ_SCREEN_JGSY_SDHJ_SPFW_CITY_AREA_DATA
WHERE
IS_DELETED = 0
AND DATA_DIMENSION = '期末'
AND DATA_NAME = '投诉'
AND LEVEL = 2
AND DATA_AREA = '市级'
);

请注意，具体的优化策略可能需要根据实际情况进行调整和测试，以达到最佳的查询性能。

SELECT DISTINCT(A.DATA_TYPE)as DATA_TYPE, A.DATA_VALUE as TSL,IFNULL((SELECT B.DATA_VALUE FROM YXDDZH_MIDDLE.GZ_SCREEN_JGSY_SDHJ_SPFW_CITY_AREA_DATA B WHERE B.IS_DELETED = 0 AND B.DATA_DIMENSION = '期末'and B.level=2 and B.DATA_NAME='举报' AND B.DATA_AREA = '市级' AND B.DATA_TYPE=A.DATA_TYPE AND B.DATA_TIME = ( SELECT MAX(DATA_TIME) FROM YXDDZH_MIDDLE.GZ_SCREEN_JGSY_SDHJ_SPFW_CITY_AREA_DATA WHERE IS_DELETED = 0 AND DATA_DIMENSION = '期末'and DATA_NAME='举报'and level=2 AND DATA_AREA = '市级' ) ),0)AS JBL,CURRENT_ID FROM YXDDZH_MIDDLE.GZ_SCREEN_JGSY_SDHJ_SPFW_CITY_AREA_DATA A WHERE A.IS_DELETED = 0 AND A.DATA_DIMENSION = '期末'and A.level=2 and A.DATA_NAME='投诉' AND A.DATA_AREA = '市级' AND A.DATA_TIME = ( SELECT MAX(DATA_TIME) FROM YXDDZH_MIDDLE.GZ_SCREEN_JGSY_SDHJ_SPFW_CITY_AREA_DATA WHERE IS_DELETED = 0 AND DATA_DIMENSION = '期末'and DATA_NAME='投诉'and level=2 AND DATA_AREA = '市级' ) 这是SQL 要查询什么

根据你提供的SQL查询语句，它的目标是从表 `YXDDZH_MIDDLE.GZ_SCREEN_JGSY_SDHJ_SPFW_CITY_AREA_DATA` 中查询符合条件的数据，并返回以下字段：

- `DATA_TYPE`：作为去重后的数据类型
- `TSL`：数据值
- `JBL`：如果存在满足条件的举报数据，则返回该数据值，否则返回0
- `CURRENT_ID`

该查询语句的条件如下：

- `IS_DELETED = 0`：筛选未被删除的记录
- `DATA_DIMENSION = '期末'`：筛选数据维度为期末的记录
- `level = 2`：筛选级别为2的记录
- `DATA_NAME = '投诉'`：筛选数据名称为投诉的记录
- `DATA_AREA = '市级'`：筛选数据区域为市级的记录
- 通过子查询获取满足条件的最大 `DATA_TIME`

请注意，这只是根据你提供的查询语句进行的分析，具体的查询结果会根据你的数据库中实际数据而有所不同。如果你有其他要求或需要更详细的解释，请提供更多信息。