如何加入2个table,其中一个table中的数据有JSON个数据需要解析?
How to join 2 tables, where data in one table has JSON data that needs to be parsed?
我正在努力处理一些 SQL,它们应该将来自两个 table 的数据连接在一起,但我还需要将 JSON 数组解析为行输出 table...
以下是我想加入的 2 个 table 示例:
订单
Order_Number
Delivery_Date
1
2020-05-18 07:00:00.000
2
2020-08-31 07:30:00.000
和历史:
Order_Number
History_Details
1
[{"FieldName":"OrderStatusType.Description","FieldType":"String","ValueBefore":"Delivered","ValueAfter":"Undelivered","Action":2}]
1
[{"FieldName":"VoucherCode","FieldType":"String","ValueBefore":"","ValueAfter":"64646456","Action":1},{"FieldName":"PricingType.Description","FieldType":"String","ValueBefore":"Standard","ValueAfter":"Discount","Action":2}]
2
[{"FieldName":"InitialComment","FieldType":"String","ValueBefore":"","ValueAfter":"Test Comment","Action":2},{"FieldName":"Appointment.Date","FieldType":"DateTime","ValueBefore":"2020-08-06T07:30:00.000","ValueAfter":"2020-08-31T07:30:00.000","Action":0}]
2
null
(不幸的是,这是一个字符串“null”,而不是 NULL - 我们在加入数据时必须处理)
我想要的是这样的输出:
Order Number
Delivery Date
FieldName
ValueBefore
ValueAfter
1
2020-05-18 07:00:00.000
OrderStatusType.Description
Delivered
Undelivered
1
2020-05-18 07:00:00.000
VoucherCode
64646456
1
2020-05-18 07:00:00.000
PricingType.Description
Standard
Discount
2
2020-08-31 07:30:00.000
InitialComment
Test Comment
2
2020-08-31 07:30:00.000
Appointment.Date
2020-08-06T07:30:00.000
2020-08-31T07:30:00.000
我可以自己做这 2 个查询,我只是在努力加入他们...
即这给了我没有 JSON 分解的一切:
SELECT
o.order_number as [Order Number],
o.delivery_date as [Delivery Date],
oh.history_details as [History]
FROM [dbo].[Order] o
JOIN [dbo].[History] oh on oh.order_number = o.order_number
WHERE oh.history_details != 'null'
虽然我可以做 JSON 映射,例如:
DECLARE @json NVARCHAR(MAX)
SET @json='[{"FieldName":"VoucherCode","FieldType":"String","ValueBefore":"","ValueAfter":"64646456","Action":1},{"FieldName":"PricingType.Description","FieldType":"String","ValueBefore":"Standard","ValueAfter":"Discount","Action":2}]';
SELECT *
FROM OPENJSON(@json)
WITH (
FieldName varchar(200) '$.FieldName' ,
ValueBefore varchar(200) '$.ValueBefore',
ValueAfter varchar(200) '$.ValueAfter'
)
我真的很想知道如何将这两者结合起来并得到我想要的结果,很多 OPENJSON 例子都像我上面的例子,它们看起来期待一个 column/datatype.
你这里的问题有点问题,因为你想要的输出与你问题的其余部分相矛盾。同一列中不能有不同的数据类型,因此在为每个值保留适当的数据类型的同时无法获得所需的输出。
您的选择是要么将数据保留为文本字符串,因为它显示在 JSON 中,要么为可以捕获的每种可能的数据类型设置多个列。
如果这只是一个日志 table 来捕获您不会定期查询的更改历史记录,您可能只需将值保留为文本字符串即可。
查询
declare @Order table(Order_Number int,Delivery_Date datetime);
insert into @Order values
(1,'2020-05-18 07:00:00.000')
,(2,'2020-08-31 07:30:00.000')
;
declare @History table(Order_Number int, History_Details varchar(max));
insert into @History values
(1,'[{"FieldName":"OrderStatusType.Description","FieldType":"String","ValueBefore":"Delivered","ValueAfter":"Undelivered","Action":2}]')
,(1,'[{"FieldName":"VoucherCode","FieldType":"String","ValueBefore":"","ValueAfter":"64646456","Action":1},{"FieldName":"PricingType.Description","FieldType":"String","ValueBefore":"Standard","ValueAfter":"Discount","Action":2}]')
,(2,'[{"FieldName":"InitialComment","FieldType":"String","ValueBefore":"","ValueAfter":"Test Comment","Action":2},{"FieldName":"Appointment.Date","FieldType":"DateTime","ValueBefore":"2020-08-06T07:30:00.000","ValueAfter":"2020-08-31T07:30:00.000","Action":0}]')
,(2,'null')
;
select o.Order_Number
,o.Delivery_Date
,j.FieldName
,j.ValueBefore
,j.ValueAfter
,case when j.FieldType = 'String' then j.ValueBefore end as ValueBeforeString
,case when j.FieldType = 'DateTime' then try_convert(datetime,j.ValueBefore,127) end as ValueBeforeDateTime
,case when j.FieldType = 'String' then j.ValueAfter end as ValueAfterString
,case when j.FieldType = 'DateTime' then try_convert(datetime,j.ValueAfter,127) end as ValueAfterDateTime
from @Order as o
join @History as h
on o.Order_Number = h.Order_Number
outer apply openjson(h.History_Details)
with (FieldName varchar(200) '$.FieldName'
,FieldType varchar(200) '$.FieldType'
,ValueBefore varchar(200) '$.ValueBefore'
,ValueAfter varchar(200) '$.ValueAfter'
) as j
where h.History_Details <> 'null'
order by o.Order_Number
,o.Delivery_Date;
输出
Order_Number
Delivery_Date
FieldName
ValueBefore
ValueAfter
ValueBeforeString
ValueBeforeDateTime
ValueAfterString
ValueAfterDateTime
1
2020-05-18 07:00:00.000
OrderStatusType.Description
Delivered
Undelivered
Delivered
NULL
Undelivered
NULL
1
2020-05-18 07:00:00.000
VoucherCode
64646456
NULL
64646456
NULL
1
2020-05-18 07:00:00.000
PricingType.Description
Standard
Discount
Standard
NULL
Discount
NULL
2
2020-08-31 07:30:00.000
InitialComment
Test Comment
NULL
Test Comment
NULL
2
2020-08-31 07:30:00.000
Appointment.Date
2020-08-06T07:30:00.000
2020-08-31T07:30:00.000
NULL
2020-08-06 07:30:00.000
NULL
2020-08-31 07:30:00.000
您可以使用 OUTER APPLY
将数据从 History
table 推送到 OPENJSON
.
我们可以使用 NULLIF
来消除任何表示字符串 'null'
的 JSON
SELECT
o.order_number as [Order Number],
o.delivery_date as [Delivery Date],
j.FieldName,
j.ValueBefore,
j.ValueAfter
FROM [dbo].[Order] o
JOIN [dbo].[History] oh on oh.order_number = o.order_number
OUTER APPLY OPENJSON(NULLIF(oh.history_details, 'null'))
WITH (
FieldName varchar(200) '$.FieldName' ,
ValueBefore varchar(200) '$.ValueBefore',
ValueAfter varchar(200) '$.ValueAfter'
) j
正如其他人所提到的,同一列中不能有不同的数据类型,因此它必须保持 varchar
。
我正在努力处理一些 SQL,它们应该将来自两个 table 的数据连接在一起,但我还需要将 JSON 数组解析为行输出 table...
以下是我想加入的 2 个 table 示例:
订单
Order_Number | Delivery_Date |
---|---|
1 | 2020-05-18 07:00:00.000 |
2 | 2020-08-31 07:30:00.000 |
和历史:
Order_Number | History_Details |
---|---|
1 | [{"FieldName":"OrderStatusType.Description","FieldType":"String","ValueBefore":"Delivered","ValueAfter":"Undelivered","Action":2}] |
1 | [{"FieldName":"VoucherCode","FieldType":"String","ValueBefore":"","ValueAfter":"64646456","Action":1},{"FieldName":"PricingType.Description","FieldType":"String","ValueBefore":"Standard","ValueAfter":"Discount","Action":2}] |
2 | [{"FieldName":"InitialComment","FieldType":"String","ValueBefore":"","ValueAfter":"Test Comment","Action":2},{"FieldName":"Appointment.Date","FieldType":"DateTime","ValueBefore":"2020-08-06T07:30:00.000","ValueAfter":"2020-08-31T07:30:00.000","Action":0}] |
2 | null |
(不幸的是,这是一个字符串“null”,而不是 NULL - 我们在加入数据时必须处理)
我想要的是这样的输出:
Order Number | Delivery Date | FieldName | ValueBefore | ValueAfter |
---|---|---|---|---|
1 | 2020-05-18 07:00:00.000 | OrderStatusType.Description | Delivered | Undelivered |
1 | 2020-05-18 07:00:00.000 | VoucherCode | 64646456 | |
1 | 2020-05-18 07:00:00.000 | PricingType.Description | Standard | Discount |
2 | 2020-08-31 07:30:00.000 | InitialComment | Test Comment | |
2 | 2020-08-31 07:30:00.000 | Appointment.Date | 2020-08-06T07:30:00.000 | 2020-08-31T07:30:00.000 |
我可以自己做这 2 个查询,我只是在努力加入他们...
即这给了我没有 JSON 分解的一切:
SELECT
o.order_number as [Order Number],
o.delivery_date as [Delivery Date],
oh.history_details as [History]
FROM [dbo].[Order] o
JOIN [dbo].[History] oh on oh.order_number = o.order_number
WHERE oh.history_details != 'null'
虽然我可以做 JSON 映射,例如:
DECLARE @json NVARCHAR(MAX)
SET @json='[{"FieldName":"VoucherCode","FieldType":"String","ValueBefore":"","ValueAfter":"64646456","Action":1},{"FieldName":"PricingType.Description","FieldType":"String","ValueBefore":"Standard","ValueAfter":"Discount","Action":2}]';
SELECT *
FROM OPENJSON(@json)
WITH (
FieldName varchar(200) '$.FieldName' ,
ValueBefore varchar(200) '$.ValueBefore',
ValueAfter varchar(200) '$.ValueAfter'
)
我真的很想知道如何将这两者结合起来并得到我想要的结果,很多 OPENJSON 例子都像我上面的例子,它们看起来期待一个 column/datatype.
你这里的问题有点问题,因为你想要的输出与你问题的其余部分相矛盾。同一列中不能有不同的数据类型,因此在为每个值保留适当的数据类型的同时无法获得所需的输出。
您的选择是要么将数据保留为文本字符串,因为它显示在 JSON 中,要么为可以捕获的每种可能的数据类型设置多个列。
如果这只是一个日志 table 来捕获您不会定期查询的更改历史记录,您可能只需将值保留为文本字符串即可。
查询
declare @Order table(Order_Number int,Delivery_Date datetime);
insert into @Order values
(1,'2020-05-18 07:00:00.000')
,(2,'2020-08-31 07:30:00.000')
;
declare @History table(Order_Number int, History_Details varchar(max));
insert into @History values
(1,'[{"FieldName":"OrderStatusType.Description","FieldType":"String","ValueBefore":"Delivered","ValueAfter":"Undelivered","Action":2}]')
,(1,'[{"FieldName":"VoucherCode","FieldType":"String","ValueBefore":"","ValueAfter":"64646456","Action":1},{"FieldName":"PricingType.Description","FieldType":"String","ValueBefore":"Standard","ValueAfter":"Discount","Action":2}]')
,(2,'[{"FieldName":"InitialComment","FieldType":"String","ValueBefore":"","ValueAfter":"Test Comment","Action":2},{"FieldName":"Appointment.Date","FieldType":"DateTime","ValueBefore":"2020-08-06T07:30:00.000","ValueAfter":"2020-08-31T07:30:00.000","Action":0}]')
,(2,'null')
;
select o.Order_Number
,o.Delivery_Date
,j.FieldName
,j.ValueBefore
,j.ValueAfter
,case when j.FieldType = 'String' then j.ValueBefore end as ValueBeforeString
,case when j.FieldType = 'DateTime' then try_convert(datetime,j.ValueBefore,127) end as ValueBeforeDateTime
,case when j.FieldType = 'String' then j.ValueAfter end as ValueAfterString
,case when j.FieldType = 'DateTime' then try_convert(datetime,j.ValueAfter,127) end as ValueAfterDateTime
from @Order as o
join @History as h
on o.Order_Number = h.Order_Number
outer apply openjson(h.History_Details)
with (FieldName varchar(200) '$.FieldName'
,FieldType varchar(200) '$.FieldType'
,ValueBefore varchar(200) '$.ValueBefore'
,ValueAfter varchar(200) '$.ValueAfter'
) as j
where h.History_Details <> 'null'
order by o.Order_Number
,o.Delivery_Date;
输出
Order_Number | Delivery_Date | FieldName | ValueBefore | ValueAfter | ValueBeforeString | ValueBeforeDateTime | ValueAfterString | ValueAfterDateTime |
---|---|---|---|---|---|---|---|---|
1 | 2020-05-18 07:00:00.000 | OrderStatusType.Description | Delivered | Undelivered | Delivered | NULL | Undelivered | NULL |
1 | 2020-05-18 07:00:00.000 | VoucherCode | 64646456 | NULL | 64646456 | NULL | ||
1 | 2020-05-18 07:00:00.000 | PricingType.Description | Standard | Discount | Standard | NULL | Discount | NULL |
2 | 2020-08-31 07:30:00.000 | InitialComment | Test Comment | NULL | Test Comment | NULL | ||
2 | 2020-08-31 07:30:00.000 | Appointment.Date | 2020-08-06T07:30:00.000 | 2020-08-31T07:30:00.000 | NULL | 2020-08-06 07:30:00.000 | NULL | 2020-08-31 07:30:00.000 |
您可以使用 OUTER APPLY
将数据从 History
table 推送到 OPENJSON
.
我们可以使用 NULLIF
来消除任何表示字符串 'null'
SELECT
o.order_number as [Order Number],
o.delivery_date as [Delivery Date],
j.FieldName,
j.ValueBefore,
j.ValueAfter
FROM [dbo].[Order] o
JOIN [dbo].[History] oh on oh.order_number = o.order_number
OUTER APPLY OPENJSON(NULLIF(oh.history_details, 'null'))
WITH (
FieldName varchar(200) '$.FieldName' ,
ValueBefore varchar(200) '$.ValueBefore',
ValueAfter varchar(200) '$.ValueAfter'
) j
正如其他人所提到的,同一列中不能有不同的数据类型,因此它必须保持 varchar
。