我有4个不同的表:
table_price_product(包含与产品及其价格有关的信息)
table_price_list(包含与价目表相关的信息)
price_per_client(包含与给定特定产品的不同客户的价格相关的信息)
客户(包含与客户相关的信息)
这是我的SQL FIDDLE:LINK
我懂了:
CUSTOMER_NUMBER | CUSTOMER_CLASS_CODE| PRICE
(null) | A | 29223
(null) | B | 33223
112121 | E | 40340
119435 | E | 40340
现在,我想在一个查询中获得与产品和客户有关的所有数据,分别用CLASS A,CLASS B,CLASS C替换A,B,C等,但是如果customer_class_code是='E',我想从表客户端获取名称,最后转换所有内容,并为每种产品获取JSON。看看这个,以某种方式我需要添加列“ PRICES_FOR_CLIENTS”和“组”,因为我需要这些列来生成JSON。
SKU |PRICE|PRICES_FOR_CLIENTS|groups|CLASS A|CLASS B|WALMART|SUPERMARKET
99342435|9999 | | |29223 |33223 |40340 |40340
我想用该信息生成一个JSON:
{“ sku”:“ 99342435”,“ PRICE”:“ 9999”,PRICES_FOR_CLIENTS:[{“ group”:“ CLASS A”,“ PRICE”:“ 29223”},{“ group”:“ CLASS B”,“ PRICE“:” 33223“},{” group“:” WALMART“,” PRICE“:” 40340“},{” group“:” SUPERMARKET“,” PRICE“:” 40340“}]}};
你能帮助我吗?
编辑:
<Item SKU="99342435" Price="9999">
<PRICES_FOR_CLIENTS>
<CLIENT_PRICE>
<Client>WALMART</Client>
<Price>40340</Price>
<Site>USSITE</Site>
</CLIENT_PRICE>
<CLIENT_PRICE>
<Client>SUPERMARKET</Client>
<Price>48343</Price>
<Site>USSITE</Site>
</CLIENT_PRICE>
<CLIENT_PRICE>
<Client>B</Client>
<Price>33223</Price>
<Site>USSITE</Site>
</CLIENT_PRICE>
<CLIENT_PRICE>
<Client>A</Client>
<Price>29223</Price>
<Site>USSITE</Site>
</CLIENT_PRICE>
</PRICES_FOR_CLIENTS>
</Item>
我认为您可以使用以下查询替换大多数代码。您可能需要调整IN子句,如果要更改很多客户列表,这很麻烦。但这会复制您的结果:
SELECT *
FROM (SELECT DECODE(ppc.customer_class_code, 'E', c.description, ppc.customer_class_code) AS IDENTIFIER, tpp.item_code, tpp.price AS ITEM_PRICE, ppc.price
FROM table_price_list tpl
INNER JOIN table_price_product tpp ON tpp.list_header_id = tpl.list_header_id AND tpp.request_id = tpl.request_id
INNER JOIN prices_per_client ppc ON tpp.item_code = ppc.item_code
LEFT JOIN clients c ON ppc.customer_number = c.account_number
WHERE SYSDATE BETWEEN NVL(tpp.start_date_active, SYSDATE) AND NVL(tpp.end_date_active, SYSDATE+1))
PIVOT (AVG(PRICE) FOR IDENTIFIER IN ('A' AS CLASS_A , 'B' AS CLASS_B, 'SUPERMARKET' AS SUPERMARKET, 'WALMART' AS WALMART));
这是一个更新小提琴。
至于JSON输出,如果您使用的是更高版本,它将变得更加容易,因为它现在已成为核心功能的一部分。
编辑:为注释添加XML功能
您可以查询以下查询:
SELECT XMLSERIALIZE(CONTENT
XMLELEMENT("Item",
XMLATTRIBUTES(sub.item_code AS "SKU", sub.item_price AS "Price"),
XMLELEMENT("PRICES_FOR_CLIENTS",
XMLAGG(XMLELEMENT("CLIENT_PRICE",
XMLFOREST(sub.identifier AS "Client", sub.price AS "Price"))))) AS CLOB INDENT)
FROM (SELECT DECODE(ppc.customer_class_code, 'E', c.description, ppc.customer_class_code) AS IDENTIFIER, tpp.item_code, tpp.price AS ITEM_PRICE, avg(ppc.price) AS PRICE
FROM table_price_list tpl
INNER JOIN table_price_product tpp ON tpp.list_header_id = tpl.list_header_id AND tpp.request_id = tpl.request_id
INNER JOIN prices_per_client ppc ON tpp.item_code = ppc.item_code
LEFT JOIN clients c ON ppc.customer_number = c.account_number
WHERE SYSDATE BETWEEN NVL(tpp.start_date_active, SYSDATE) AND NVL(tpp.end_date_active, SYSDATE+1)
GROUP BY DECODE(ppc.customer_class_code, 'E', c.description, ppc.customer_class_code), tpp.item_code, tpp.price) sub
WHERE sub.identifier IS NOT NULL
GROUP BY sub.item_code, sub.item_price;
这是该查询的更新小提琴(Link)。
产生以下输出:
<Item SKU="99342435" Price="9999">
<PRICES_FOR_CLIENTS>
<CLIENT_PRICE>
<Client>WALMART</Client>
<Price>40340</Price>
</CLIENT_PRICE>
<CLIENT_PRICE>
<Client>SUPERMARKET</Client>
<Price>48343</Price>
</CLIENT_PRICE>
<CLIENT_PRICE>
<Client>B</Client>
<Price>33223</Price>
</CLIENT_PRICE>
<CLIENT_PRICE>
<Client>A</Client>
<Price>29223</Price>
</CLIENT_PRICE>
</PRICES_FOR_CLIENTS>
</Item>
编辑2:通过字符串合并添加JSON
以下将通过直接字符串概括输出JSON:
SELECT '{"sku":"'||sub.item_code||'","PRICE":"'||sub.item_price||'",PRICES_FOR_CLIENTS:['||listagg('{"group":"'||sub.identifier||'","PRICE":"'||sub.price||'"}',',') WITHIN GROUP (ORDER BY sub.identifier)||']};' AS JSON
FROM (SELECT DECODE(ppc.customer_class_code, 'E', c.description, ppc.customer_class_code) AS IDENTIFIER, tpp.item_code, replace(tpp.price, ',', '.') AS ITEM_PRICE, REPLACE(avg(ppc.price), ',', '.') AS PRICE,
tpl.request_id, max(tpl.request_id) over (partition by tpp.item_code) as max_request
FROM table_price_list tpl
INNER JOIN table_price_product tpp ON tpp.list_header_id = tpl.list_header_id AND tpp.request_id = tpl.request_id
INNER JOIN prices_per_client ppc ON tpp.item_code = ppc.item_code
LEFT JOIN clients c ON ppc.customer_number = c.account_number
WHERE SYSDATE BETWEEN NVL(tpp.start_date_active, SYSDATE) AND NVL(tpp.end_date_active, SYSDATE+1)
GROUP BY DECODE(ppc.customer_class_code, 'E', c.description, ppc.customer_class_code), tpp.item_code, tpp.price, tpl.request_id) sub
WHERE sub.identifier IS NOT NULL
and sub.request_id = sub.max_request
GROUP BY sub.item_code, sub.item_price;
和与此查询更新的小提琴(链接)
编辑3:添加了替换**编辑4:添加了分析功能**
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我来说两句