Question

我有一个excel电子表格，它从SQL中提取记录。我想结合重复记录并总结匹配记录的数量字段。我尝试将select（sum）和group by命令添加到我现有的查询中，但由于没有真正的SQL经验，因此我没有达到目标。我的表看起来像这样：

item no.| item description | qty   | date 
1         red onion          5       20110405 
2         yellow onion       5       20110406 
1         red onion          10      20110405

我希望它看起来像这样：

item no.| item description | qty   | date
1         red onion          15      20110405
2         yellow onion       5       20110406

这是我使用的查询：

SELECT 
     OELINHST_SQL.item_no, OELINHST_SQL.item_desc_1, OELINHST_SQL.qty_ordered, oelinhst_sql.unit_weight,  OEHDRHST_SQL.shipping_dt, OEHDRHST_SQL.inv_dt
FROM
    OEHDRHST_SQL OEHDRHST_SQL,
    OELINHST_SQL OELINHST_SQL
WHERE
    OEHDRHST_SQL.ord_type *= OELINHST_SQL.ord_type AND
    OEHDRHST_SQL.ord_no *= OELINHST_SQL.ord_no AND
    (OELINHST_SQL.prod_cat <> '26' AND
    OELINHST_SQL.prod_cat <> '25') AND
    OELINHST_SQL.loc = 'fs2' AND 
    OELINHST_SQL.item_desc_1 IS NOT NULL AND 
    OEHDRHST_SQL.shipping_dt >= 20110101 AND
    OELINHST_SQL.item_no NOT IN ('800-505-00', '800-083-00', '800-506-00', '400-511-39')  AND (OELINHST_SQL.item_no NOT BETWEEN '800-000-00' AND '999-999-99')
ORDER BY
    OELINHST_SQL.item_no ASC,
    OEHDRHST_SQL.inv_dt DESC

Answer 1

您需要使用GROUP BY子句和SUM相关列。

这是一个可以根据您的情况调整的简化示例。

select t1.name, t2.name, t2.date, sum(t2.orders)
from table1 t1
inner join table2 t2 on t1.id = t2.t1_id
group by t1.name, t2.name, t2.date

Answer 2

看起来你需要添加group by子句，并添加SUM（Qty）和MIN（date）

对列名称不太确定，但可能是这样的：

SELECT 
     OELINHST_SQL.item_no, OELINHST_SQL.item_desc_1, SUM(OELINHST_SQL.qty_ordered), oelinhst_sql.unit_weight,  MIN(OEHDRHST_SQL.shipping_dt), MIN(OEHDRHST_SQL.inv_dt)
FROM
    OEHDRHST_SQL OEHDRHST_SQL,
    OELINHST_SQL OELINHST_SQL
WHERE
    OEHDRHST_SQL.ord_type *= OELINHST_SQL.ord_type AND
    OEHDRHST_SQL.ord_no *= OELINHST_SQL.ord_no AND
    (OELINHST_SQL.prod_cat <> '26' AND
    OELINHST_SQL.prod_cat <> '25') AND
    OELINHST_SQL.loc = 'fs2' AND 
    OELINHST_SQL.item_desc_1 IS NOT NULL AND 
    OEHDRHST_SQL.shipping_dt >= 20110101 AND
    OELINHST_SQL.item_no NOT IN ('800-505-00', '800-083-00', '800-506-00', '400-511-39')  AND (OELINHST_SQL.item_no NOT BETWEEN '800-000-00' AND '999-999-99')
GROUP BY OELINHST_SQL.item_no, OELINHST_SQL.item_desc_1, oelinhst_sql.unit_weight
ORDER BY
    OELINHST_SQL.item_no ASC,
    OEHDRHST_SQL.inv_dt DESC

Answer 3

我想你想要这样的东西：

SELECT 
       OELINHST_SQL.item_no, 
       OELINHST_SQL.item_desc_1, 
       SUM(OELINHST_SQL.qty_ordered),
       SUM(oelinhst_sql.unit_weight),  
       MIN(OEHDRHST_SQL.shipping_dt), 
       MIN(OEHDRHST_SQL.inv_dt)
    FROM
        OEHDRHST_SQL OEHDRHST_SQL,
        OELINHST_SQL OELINHST_SQL
    WHERE
        OEHDRHST_SQL.ord_type *= OELINHST_SQL.ord_type AND
        OEHDRHST_SQL.ord_no *= OELINHST_SQL.ord_no AND
        (OELINHST_SQL.prod_cat <> '26' AND
        OELINHST_SQL.prod_cat <> '25') AND
        OELINHST_SQL.loc = 'fs2' AND 
        OELINHST_SQL.item_desc_1 IS NOT NULL AND 
        OEHDRHST_SQL.shipping_dt >= 20110101 AND
        OELINHST_SQL.item_no NOT IN ('800-505-00', '800-083-00', '800-506-00', '400-511-39')  AND (OELINHST_SQL.item_no NOT BETWEEN '800-000-00' AND '999-999-99')
    GROUP BY
       OELINHST_SQL.item_no, 
       OELINHST_SQL.item_desc_1
    ORDER BY
        OELINHST_SQL.item_no ASC,
        OEHDRHST_SQL.inv_dt DESC

但是，这假设发货日期和int_date将始终相同或者您希望在两种情况下都是最早的日期。

Answer 4

我添加了更简单的表别名，以便于阅读。基本上，您需要GROUP BY所有未包含在聚合函数中的列。

SELECT 
  l.item_no
 ,l.item_desc_1
 ,SUM(l.qty_ordered) AS qty_ordered
 ,l.unit_weight
 ,h.shipping_dt
 ,h.inv_dt
FROM OEHDRHST_SQL h
  LEFT OUTER JOIN OELINHST_SQL l ON h.ord_type = l.ord_type AND h.ord_no = l.ord_no
WHERE l.prod_cat <> '26'
  AND l.prod_cat <> '25'
  AND l.loc = 'fs2'
  AND l.item_desc_1 IS NOT NULL
  AND h.shipping_dt >= 20110101
  AND l.item_no NOT IN ('800-505-00', '800-083-00', '800-506-00', '400-511-39')
  AND l.item_no NOT BETWEEN '800-000-00' AND '999-999-99'
GROUP BY l.item_no, l.item_desc_1, l.unit_weight, h.shipping_dt, h.inv_dt
ORDER BY l.item_no ASC, h.inv_dt DESC

用于组合重复记录和求和数量的SQL查询

4 个答案: