selectCASEWHEN subquery.sum = 0 or subquery.sum is null THENSUBSTR (JNL. FIELD522, 1, 2)endfrom FCM_BDPVIEWX$ (version_num} . FCM_ABR_F_TBFTJNL_S JNLleft Join (SELECT SUM (INSTR (concat (JNL. FIELD522, "\n", JNL. FIELD523, "\n', JNL. FIELD524, "\n', JNL, FIELD525) ,UPPER (PRM. NATIONALITY) ) ) sumFROM BDSP_FHTS60015 (version_num) . PARA_ NATIONALITY PRM ）subquery on 1=1 改成hive写法

下面是将该查询转换为 Hive SQL 语法的示例：

SELECT 
  CASE 
    WHEN subquery.sum = 0 OR subquery.sum IS NULL 
    THEN SUBSTR(JNL.FIELD522, 1, 2) 
  END 
FROM 
  FCM_ABR_F_TBFTJNL_S JNL 
  LEFT JOIN (
    SELECT 
      SUM(INSTR(CONCAT(JNL.FIELD522, "\n", JNL.FIELD523, "\n", JNL.FIELD524, "\n", JNL.FIELD525), UPPER(PRM.NATIONALITY))) sum 
    FROM 
      BDSP_FHTS60015.PARA_NATIONALITY PRM 
  ) subquery ON 1 = 1;

在 Hive 中，字符串拼接使用`CONCAT`函数，字符串换行可以使用`\n`，字符串转换成大写可以使用`UPPER`函数。此外，Hive 中的表名需要包含数据库名称，因此需要将`version_num`替换为实际的数据库名称。

相关问题

SUM(subquery.total_number_before) AS total_number

如果你想要将子查询中的total_number_before列的值进行合计，可以在主查询中使用SUM函数，并将子查询结果作为表进行处理。

以下是修改后的示例查询语句：

SELECT
    subquery.week,
    SUM(subquery.total_number_before) AS total_number
FROM (
    SELECT
        CONCAT(YEAR(e.tb_time), '年第', WEEK(e.tb_time, 1), '周') AS week,
        SUM(e.number) AS total_number_before
    FROM 
        fa_tianchuang e
    GROUP BY
        YEAR(e.tb_time),
        WEEK(e.tb_time, 1)
) subquery
GROUP BY
    subquery.week

在这个查询中，我们将原始的子查询作为表subquery进行处理。然后，使用SUM函数对subquery中的total_number_before列进行合计，并将结果命名为total_number。

最后，使用GROUP BY子句对week列进行分组，以便按周数合并工程量的总和。

请根据你的实际数据表结构和需求进行适当的修改。

select a.id,SUM(CASE WHEN d.shoukuan_month = '2023-05' and d.is_del = 0 then d.netincome ELSE 0 end) as one_shoukuan,SUM(CASE WHEN d.shoukuan_month = '2023-04' AND d.is_del = 0 THEN d.netincome ELSE 0 END) as two_shoukuan,(CASE WHEN b.month = '2023-05' THEN b.create_income ELSE 30000 END) as one_income,(CASE WHEN b.month = '2023-04' THEN b.create_income ELSE 30000 END) as two_income from a left join b on b.kefuid = a.id left join d on d.kefuid = a.id where a.brand = '1' and a.is_del = 0 and a.is_lizhi = 0 group by a.id这个sql如何让select 中的d.one_shoukuan >= b.one_income and d.two_shoukuan >= b.two_income

你可以将该 SQL 作为一个子查询，在外部 SELECT 语句中添加一个 WHERE 子句来实现该要求：

SELECT *
FROM (
    SELECT a.id,
        SUM(CASE WHEN d.shoukuan_month = '2023-05' AND d.is_del = 0 THEN d.netincome ELSE 0 END) AS one_shoukuan,
        SUM(CASE WHEN d.shoukuan_month = '2023-04' AND d.is_del = 0 THEN d.netincome ELSE 0 END) AS two_shoukuan,
        (CASE WHEN b.month = '2023-05' THEN b.create_income ELSE 30000 END) AS one_income,
        (CASE WHEN b.month = '2023-04' THEN b.create_income ELSE 30000 END) AS two_income
    FROM a
    LEFT JOIN b ON b.kefuid = a.id
    LEFT JOIN d ON d.kefuid = a.id
    WHERE a.brand = '1' AND a.is_del = 0 AND a.is_lizhi = 0
    GROUP BY a.id
) AS subquery
WHERE subquery.one_shoukuan >= subquery.one_income AND subquery.two_shoukuan >= subquery.two_income;

这样，子查询将返回每个客服的 `one_shoukuan`，`two_shoukuan`，`one_income` 和 `two_income` 值，而外部查询将筛选出满足 `one_shoukuan >= one_income` 和 `two_shoukuan >= two_income` 的记录。