select '#{time yyyyMMdd}0000' TIME_ID, a.IMSI, a.GJ, a.YYS, count(case when substr(b.IMSI,1,5)<>46000 and b.operate_code=2 then a.IMSI else null end) as MRWZGXQQCS, count(case when substr(b.IMSI,1,5)<>46000 and b.operate_code=2 and b.result<>1 then a.IMSI else null end) as MRWZGXCGCS, case when count(case when substr(b.IMSI,1,5)<>46000 and b.operate_code=2 then a.IMSI else null end)=0 then 0 else count(case when substr(b.IMSI,1,5)<>46000 and b.operate_code=2 and b.result<>1 then a.IMSI else null)/count(case when substr(b.IMSI,1,5)<>46000 and b.operate_code=2 then a.IMSI else null end) as MRWZGXCGL, sum(c.MRZJCS) as MRZJCS, sum(c.MRZJHJCGCS) as MRZJHJCGCS, sum(d.MRBJCS) as MRBJCS, sum(d.MRBJHJCGCS) as MRBJHJCGCS, case when sum(c.MRZJCS)=0 then 0 else sum(c.MRZJHJCGCS)/sum(c.MRZJCS) end as MRZJWLJTL, case when sum(c.MRZJCS)=0 then 0 else sum(d.MRBJHJCGCS)/sum(d.MRBJCS) end as MRBJWLJTL, count(case when substr(b.msc,1,2)<>86 and a.GJ is not null and b.operate_code=2 then a.IMSI else null end) as MCWZGXQQCS, count(case when substr(b.msc,1,2)<>86 and a.GJ is not null and b.operate_code=2 and b.result<>1 then a.IMSI else null end) as MCWZGXCGCS, case when count(case when substr(b.msc,1,2)<>86 and a.GJ is not null and b.operate_code=2 then a.IMSI else null end)=0 then 0 else count(case when substr(b.msc,1,2)<>86 and a.GJ is not null and b.operate_code=2 and b.result<>1 then a.IMSI else null end)/ count(case when substr(b.msc,1,2)<>86 and a.GJ is not null and b.operate_code=2 then a.IMSI else null end) as MCWZGXCGL, now() LOAD_TIME from (select * from TAB_A union select * from TAB_B union select * from TAB_C)a left join (select * from spark_odc_dwd.D_ENS_GMAP_MM where p_hour='#{time yyyyMMddHH}') b on a.IMSI=b.IMSI left join TAB_D c on a.IMSI=c.calling_imsi left join TAB_E d on a.IMSI=d.called_imsi group by a.IMSI, a.GJ, a.YYS

这段 SQL 查询语句看起来是对多个数据表进行联合查询，并进行一些聚合操作，得出一些业务指标。其中包括了一些计数、求和和分组等操作，主要目的是对不同条件下的数据进行统计和分析，以便于业务决策。需要注意的是，这里的 SQL 查询语句中含有一些参数，如 `#{time yyyyMMdd}` 和 `#{time yyyyMMddHH}`，需要在使用时进行替换。同时，这段代码中所用到的数据表和字段名称也需要根据实际场景进行调整。

相关问题

select a.dt,count(b.account_id)/count(a.account_id) from ( select distinct account_id from src_loginrole_day where dt <=20180606 and dt>= 20180604 )a left JOIN ( select distinct account_id from src_loginrole_day where dt <=20180607 and dt>= 20180605 )b on a.account_id = b.account_id and datediff(from_unixtime(unix_timestamp(b.dt,'yyyyMMdd')),from_unixtime(unix_timestamp(a.dt,'yyyyMMdd'))) = 1 group by a.dt;哪里有错

这个 SQL 查询语句中存在语法错误。经过查看，发现在子查询中的 `src_loginrole_day` 表缺少别名。

以下是修正后的 SQL 查询语句：

SELECT a.dt, COUNT(b.account_id) / COUNT(a.account_id)
FROM (
    SELECT DISTINCT account_id, dt
    FROM src_loginrole_day
    WHERE dt <= 20180606 AND dt >= 20180604
) a
LEFT JOIN (
    SELECT DISTINCT account_id, dt
    FROM src_loginrole_day
    WHERE dt <= 20180607 AND dt >= 20180605
) b ON a.account_id = b.account_id AND DATEDIFF(FROM_UNIXTIME(UNIX_TIMESTAMP(b.dt,'yyyyMMdd')),FROM_UNIXTIME(UNIX_TIMESTAMP(a.dt,'yyyyMMdd'))) = 1
GROUP BY a.dt;

在这个修正后的查询语句中，我为子查询中的 `src_loginrole_day` 表添加了别名 `a` 和 `b`，并且在 SELECT 子句中添加了 `dt` 字段，以便在后面的 JOIN 操作中使用。

select a.dt, count(distinct a.account_id) role, count(distinct b.account_id) ret2 from ( select 'involve' as type,account_id,dt from src_loginrole_day where dt between 20180604 and 20180606 )a left join ( select 'involve' as type,account_id,dt from src_loginrole_day where dt between 20180605 and 20180607 )b on a.account_id = b.account_id and datediff(from_unixtime(unix_timestamp(b.dt,'yyyyMMdd')),from_unixtime(unix_timestamp(a.dt,'yyyyMMdd'))) = 1 group by a.dt order by a.dt;哪里有错

这个 SQL 语句中存在一个错误，因为 `from src_loginrole_day` 后面缺少表的别名。正确的语句如下：

select a.dt, count(distinct a.account_id) role, count(distinct b.account_id) ret2  
from (
    select 'involve' as type, account_id, dt  
    from src_loginrole_day  
    where dt between 20180604 and 20180606 
) a  
left join (
    select 'involve' as type, account_id, dt  
    from src_loginrole_day  
    where dt between 20180605 and 20180607  
) b  
on a.account_id = b.account_id and datediff(from_unixtime(unix_timestamp(b.dt,'yyyyMMdd')), from_unixtime(unix_timestamp(a.dt,'yyyyMMdd'))) = 1 
group by a.dt  
order by a.dt;

在子查询中，给 `src_loginrole_day` 表起一个别名，例如 `s`，然后在 `select` 子句中使用这个别名来指代该表。