[英]sql declare select calcuation as variable for further use in query
I want to change a specific calculation inside a select query to a variable in order to re-process the result for other calculations inside the query. 我想将选择查询内的特定计算更改为变量,以便为查询内的其他计算重新处理结果。 In this example the value I need as variable is
dt_raw
. 在此示例中,我需要作为变量的值为
dt_raw
。 So far I wasn't successful with implementing a solution. 到目前为止,我并没有成功实施解决方案。
SELECT
cpe.entity_id AS product_id,
cpe.sku,
CASE
WHEN (csi.qty - csi.stock_ordered_qty) >= cped2.value AND csi.stock_id = 3 /* on stock burgsdorgstrasse */
THEN 3
WHEN (csi.qty - csi.stock_ordered_qty) >= cped2.value AND csi.stock_id = 4 /* on stock hoppegarten */
THEN 7
WHEN sum(sm_qty) > 2 AND csi.stock_id = 3 /* history burgsdorfstrasse */
THEN round(avg(DATEDIFF(sm.sm_date, po.po_date)) + 3)
WHEN sum(sm_qty) > 2 AND csi.stock_id = 4 /* history hoppegarten */
THEN round(avg(DATEDIFF(sm.sm_date, po.po_date)) + 4)
ELSE cped.value /* default_delivery_time */
END AS dt_raw
FROM `test_live`.`catalog_product_entity` cpe
LEFT JOIN `test_live`.`cataloginventory_stock_item` csi
ON cpe.entity_id = csi.product_id
LEFT JOIN `test_live`.`catalog_product_entity_decimal` cped /* default_delivery_time */
ON cpe.entity_id = cped.entity_id
AND cped.attribute_id = 392
LEFT JOIN `test_live`.`catalog_product_entity_decimal` cped2 /* min_qty_delivery_time */
ON cpe.entity_id = cped2.entity_id
AND cped2.attribute_id = 393
LEFT JOIN `test_live`.`stock_movement` sm
ON cpe.entity_id = sm.sm_product_id
AND sm.sm_type = "supply"
AND sm.sm_date > NOW() - Interval 90 DAY
LEFT JOIN `test_live`.`purchase_order` po
ON po.po_num = sm.sm_po_num
WHERE
csi.is_favorite_warehouse = 1
AND (csi.stock_id = 3 OR csi.stock_id = 4)
GROUP BY cpe.entity_id
I want to use the results of dt_raw
in further calcuations. 我想在进一步的计算中使用
dt_raw
的结果。
eg: 例如:
concat ("ca. ", round(dt_raw), " weeks") as delivery_time
CASE
WHEN dt_raw <= 30
THEN 50
ELSE 0
END AS amazon_qty
If you want to use your query result without restictions you should save it in a table. 如果要使用查询结果而没有限制,则应将其保存在表中。 After that use a select to get the data you want.
之后,使用选择获取所需的数据。
CREATE 创造
CREATE TABLE your_schema.dt_raw_temp
SELECT
cpe.entity_id AS product_id,
cpe.sku,
CASE
WHEN (csi.qty - csi.stock_ordered_qty) >= cped2.value AND csi.stock_id = 3 /* on stock burgsdorgstrasse */
THEN 3
WHEN (csi.qty - csi.stock_ordered_qty) >= cped2.value AND csi.stock_id = 4 /* on stock hoppegarten */
THEN 7
WHEN sum(sm_qty) > 2 AND csi.stock_id = 3 /* history burgsdorfstrasse */
THEN round(avg(DATEDIFF(sm.sm_date, po.po_date)) + 3)
WHEN sum(sm_qty) > 2 AND csi.stock_id = 4 /* history hoppegarten */
THEN round(avg(DATEDIFF(sm.sm_date, po.po_date)) + 4)
ELSE cped.value /* default_delivery_time */
END AS dt_raw
FROM `test_live`.`catalog_product_entity` cpe
LEFT JOIN `test_live`.`cataloginventory_stock_item` csi
ON cpe.entity_id = csi.product_id
LEFT JOIN `test_live`.`catalog_product_entity_decimal` cped /* default_delivery_time */
ON cpe.entity_id = cped.entity_id
AND cped.attribute_id = 392
LEFT JOIN `test_live`.`catalog_product_entity_decimal` cped2 /* min_qty_delivery_time */
ON cpe.entity_id = cped2.entity_id
AND cped2.attribute_id = 393
LEFT JOIN `test_live`.`stock_movement` sm
ON cpe.entity_id = sm.sm_product_id
AND sm.sm_type = "supply"
AND sm.sm_date > NOW() - Interval 90 DAY
LEFT JOIN `test_live`.`purchase_order` po
ON po.po_num = sm.sm_po_num
WHERE
csi.is_favorite_warehouse = 1
AND (csi.stock_id = 3 OR csi.stock_id = 4)
GROUP BY cpe.entity_id;
SELECT 选择
SELECT CONCAT('ca. ', round(dt_raw), ' weeks') AS delivery_time,
IF(dt_raw <= 30, 50, 0) AS amazon_qty
FROM your_schema.dt_raw_temp;
The advantage of using tables is that you can reproduce your calculations at any given moment as long as you keep your tables.
使用表格的好处是,只要保留表格,就可以在任何给定的时刻重现计算结果。
Simply select from your query: 只需从查询中选择:
select
product_id,
sku,
dt_raw,
concat ("ca. ", round(dt_raw), " weeks") as delivery_time,
case when dt_raw <= 30 then 50 else 0 end as amazon_qty
from
(
SELECT
cpe.entity_id AS product_id,
cpe.sku,
CASE
WHEN (csi.qty - csi.stock_ordered_qty) >= cped2.value AND csi.stock_id = 3 /* on stock burgsdorgstrasse */
THEN 3
WHEN (csi.qty - csi.stock_ordered_qty) >= cped2.value AND csi.stock_id = 4 /* on stock hoppegarten */
THEN 7
WHEN sum(sm.sm_qty) > 2 AND csi.stock_id = 3 /* history burgsdorfstrasse */
THEN round(avg(DATEDIFF(sm.sm_date, po.po_date)) + 3)
WHEN sum(sm.sm_qty) > 2 AND csi.stock_id = 4 /* history hoppegarten */
THEN round(avg(DATEDIFF(sm.sm_date, po.po_date)) + 4)
ELSE cped.value /* default_delivery_time */
END AS dt_raw
FROM test_live.catalog_product_entity cpe
LEFT JOIN test_live.cataloginventory_stock_item csi ON cpe.entity_id = csi.product_id AND csi.is_favorite_warehouse = 1 AND csi.stock_id in (3,4)
LEFT JOIN test_live.catalog_product_entity_decimal cped /* default_delivery_time */ ON cpe.entity_id = cped.entity_id AND cped.attribute_id = 392
LEFT JOIN test_live.catalog_product_entity_decimal cped2 /* min_qty_delivery_time */ ON cpe.entity_id = cped2.entity_id AND cped2.attribute_id = 393
LEFT JOIN test_live.stock_movement sm ON cpe.entity_id = sm.sm_product_id AND sm.sm_type = 'supply' AND sm.sm_date > NOW() - Interval 90 DAY
LEFT JOIN test_live.purchase_order po ON po.po_num = sm.sm_po_num
GROUP BY cpe.entity_id
) prod;
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