我为什么无法使用SQL访问我的JSON的子节点?

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英文:

Why am I unable to access subnodes of my JSON using SQL?

问题

我对这个问题感到有点疯狂,我确信对于不是一直盯着它看了一个小时的人来说,这个问题应该很容易发现...

我有以下的JSON('Details' 还有更多的示例,但两个应该足够解决这个问题):

[
    {
        "MonthDetails": [
            {
                "Month": 1,
                "MonthName": "January 2020",
                "Details": [
                    {
                        "ServiceUserName": "Resident 1",
                        "ServiceUserLastName": "Resident",
                        "SUID": "b5259252-2018-43ee-a7a9-842fa7c80473",
                        "InfectionType": "Urinary tract",
                        "DateStarted": "2019-11-05T13:53:01.9392086+00:00",
                        "DateCleared": "Open",
                        "NextReviewDate": "2019-11-06T13:53:01.9392086+00:00",
                        "AntibioticsStartDate": "2019-11-05T00:00:00+00:00",
                        "AntibioticsEndDate": "2019-11-07T00:00:00+00:00",
                        "AcquiredOnAdmission": false,
                        "NeedsBarrierNursing": false,
                        "IsOpen": true,
                        "DaysToClear": 0,
                        "SURecordOpen": true
                    },
                    {
                        "ServiceUserName": "Resident 2",
                        "ServiceUserLastName": "Resident",
                        "SUID": "376cffba-52ce-4de0-855d-dd9e24f466e0",
                        "InfectionType": "Chest",
                        "DateStarted": "2019-12-04T12:11:30.7777465+00:00",
                        "DateCleared": "Open",
                        "NextReviewDate": "2019-12-05T12:11:30.7777465+00:00",
                        "AntibioticsStartDate": "2019-12-01T00:00:00+00:00",
                        "AntibioticsEndDate": "2019-12-08T00:00:00+00:00",
                        "AcquiredOnAdmission": true,
                        "NeedsBarrierNursing": false,
                        "IsOpen": true,
                        "DaysToClear": 0,
                        "SURecordOpen": true
                    }
                ],
                "criteria": null,
                "Errors": {},
                "DateFrom": "0001-01-01T00:00:00",
                "SelectedDateRange": null,
                "NumberOfDays": 0
            }
        ]
    }
]

我的理解是,如果我想获取例如 MonthDetails.Details >> ServiceUserName、SUID 等信息,我可以使用以下代码:

SELECT * INTO Residents FROM OPENJSON(@JSON, '$.MonthDetails.Details') 
	WITH
	(	
		ServiceUserName nvarchar(100) '$.ServiceUserName',
		ServiceUserLastName nvarchar(100) '$.ServiceUserName',
		SUID nvarchar(150) '$.SUID',
		InfectionType nvarchar(30) '$.InfectionType',
		DateStarted nvarchar(10) '$.DateStarted',
		DateCleared nvarchar(10) '$.DateCleared',
		NextReviewDate nvarchar(10) '$.NextReviewDate',
		AntibioticsStartDate nvarchar(10) '$.AntibioticsStartDate',
		AntibioticsEndDate nvarchar(10) '$.AntibioticsEndDate',
		AcquiredOnAdmission nvarchar(5) '$.AcquiredOnAdmission',
		NeedsBarrierNursing nvarchar(5) '$.NeedsBarrierNursing',
		IsOpen nvarchar(5) '$.IsOpen',
		DaysToClear nvarchar(5) '$.DaysToClear',
		SURecordOpen nvarchar(5) '$.SURecordOpen'
	)

然而,发生的情况是,一个记录只创建了一个每列都是NULL的条目。我知道我可以只做 $.MonthDetails,然后将 Details 作为 JSON 传递并交叉应用它,但我认为上面的首选方法也应该起作用?

谢谢
Ant

英文:

I'm going a bit mad with this one, and I'm sure it'll be something easily spotted by someone not staring at it for the last hour...

I have the following JSON (there are more examples of 'Details' but two should suffice for this question:

[
    {
        "MonthDetails": [
            {
                "Month": 1,
                "MonthName": "January 2020",
                "Details": [
                    {
                        "ServiceUserName": "Resident 1",
                        "ServiceUserLastName": "Resident",
                        "SUID": "b5259252-2018-43ee-a7a9-842fa7c80473",
                        "InfectionType": "Urinary tract",
                        "DateStarted": "2019-11-05T13:53:01.9392086+00:00",
                        "DateCleared": "Open",
                        "NextReviewDate": "2019-11-06T13:53:01.9392086+00:00",
                        "AntibioticsStartDate": "2019-11-05T00:00:00+00:00",
                        "AntibioticsEndDate": "2019-11-07T00:00:00+00:00",
                        "AcquiredOnAdmission": false,
                        "NeedsBarrierNursing": false,
                        "IsOpen": true,
                        "DaysToClear": 0,
                        "SURecordOpen": true
                    },
                    {
                        "ServiceUserName": "Resident 2",
                        "ServiceUserLastName": "Resident",
                        "SUID": "376cffba-52ce-4de0-855d-dd9e24f466e0",
                        "InfectionType": "Chest",
                        "DateStarted": "2019-12-04T12:11:30.7777465+00:00",
                        "DateCleared": "Open",
                        "NextReviewDate": "2019-12-05T12:11:30.7777465+00:00",
                        "AntibioticsStartDate": "2019-12-01T00:00:00+00:00",
                        "AntibioticsEndDate": "2019-12-08T00:00:00+00:00",
                        "AcquiredOnAdmission": true,
                        "NeedsBarrierNursing": false,
                        "IsOpen": true,
                        "DaysToClear": 0,
                        "SURecordOpen": true
                    }
                ],
                "criteria": null,
                "Errors": {},
                "DateFrom": "0001-01-01T00:00:00",
                "SelectedDateRange": null,
                "NumberOfDays": 0
            }
        ]
    }
]

My understanding was that if I wanted to get eg. MonthDetails.Details >> ServiceUserName, SUID, etc, I could use the following code:

SELECT * INTO Residents FROM OPENJSON(@JSON, '$.MonthDetails.Details') 
	WITH
	(	
		ServiceUserName nvarchar(100) '$.ServiceUserName',
		ServiceUserLastName nvarchar(100) '$.ServiceUserName',
		SUID nvarchar(150) '$.SUID',
		InfectionType nvarchar(30) '$.InfectionType',
		DateStarted nvarchar(10) '$.DateStarted',
		DateCleared nvarchar(10) '$.DateCleared',
		NextReviewDate nvarchar(10) '$.NextReviewDate',
		AntibioticsStartDate nvarchar(10) '$.AntibioticsStartDate',
		AntibioticsEndDate nvarchar(10) '$.AntibioticsEndDate',
		AcquiredOnAdmission nvarchar(5) '$.AcquiredOnAdmission',
		NeedsBarrierNursing nvarchar(5) '$.NeedsBarrierNursing',
		IsOpen nvarchar(5) '$.IsOpen',
		DaysToClear nvarchar(5) '$.DaysToClear',
		SURecordOpen nvarchar(5) '$.SURecordOpen'
	)

However, all that happens is that one record is creating one entry with NULL in every column. I'm aware that I can just do $.MonthDetails and then pass the Details as JSON through and cross apply it, but I thought the preferred method above should work too?

Thanks
Ant

答案1

得分: 1

以下是您要翻译的内容:

-- 对于数组中的单个对象和多个详细信息

    select *
    from openjson(@json, '$[0].MonthDetails[0].Details')
    with
    (
    	ServiceUserName varchar(50),
    	ServiceUserLastName varchar(50),
    	SUID uniqueidentifier,
    	InfectionType varchar(50),
    	DateStarted datetimeoffset(7),
    	DaysToClear int
    );


-- 对于数组中的任意数量的对象(根据其余元素/对象进行调整)

    select *
    from openjson(@json) AS t
    cross apply openjson(t.value)
    with 
    (
    	MonthDetails nvarchar(max) as json
    ) AS md
    cross apply openjson(md.MonthDetails)
    with
    (
    	[Month] tinyint,
    	MonthName varchar(20),
    	criteria varchar(50),
    	DateFrom datetime2(0),
    	SelectedDateRange varchar(10),
    	NumberOfDays int,
    	Details nvarchar(max) as json
    ) as mdd
    cross apply openjson (mdd.Details)
    with
    (
    	ServiceUserName varchar(50),
    	ServiceUserLastName varchar(50),
    	SUID uniqueidentifier,
    	InfectionType varchar(50),
    	DateStarted datetimeoffset(7),
    	DaysToClear int
    	--,...............
    ) as det; 

请注意,我已将SQL代码中的HTML实体编码进行了还原。

英文:

for single objects in arrays and multiple Details

select *
from openjson(@json, '$[0].MonthDetails[0].Details')
with
(
	ServiceUserName varchar(50),
	ServiceUserLastName varchar(50),
	SUID uniqueidentifier,
	InfectionType varchar(50),
	DateStarted datetimeoffset(7),
	DaysToClear int
);

for any number of objects in the arrays (adjust for the rest of the elements/objects)

select *
from openjson(@json) AS t
cross apply openjson(t.value)
with 
(
	MonthDetails nvarchar(max) as json
) AS md
cross apply openjson(md.MonthDetails)
with
(
	[Month] tinyint,
	MonthName varchar(20),
	criteria varchar(50),
	DateFrom datetime2(0),
	SelectedDateRange varchar(10),
	NumberOfDays int,
	Details nvarchar(max) as json
) as mdd
cross apply openjson (mdd.Details)
with
(
	ServiceUserName varchar(50),
	ServiceUserLastName varchar(50),
	SUID uniqueidentifier,
	InfectionType varchar(50),
	DateStarted datetimeoffset(7),
	DaysToClear int
	--,...............
) as det; 

答案2

得分: 1

以下是您要翻译的部分:

在您的示例中出现意外结果的原因是您有一个JSON结构,其中包含嵌套的JSON数组,而您没有一个可以使用OPENJSON()和路径'$.MonthDetails.Details'进行解析的对象或数组。在这种情况下,您需要使用附加的APPLY操作符和OPENJSON()调用来解析嵌套的JSON数组。

如果您有以下格式的JSON(整个JSON和“MonthDetails”键都是JSON对象,而不是JSON数组),则问题中的语句将起作用:

DECLARE @json nvarchar(max)
SELECT @json = N'{
        "MonthDetails": {
                "Month": 1,
                "MonthName": "January 2020",
                "Details": [
                    {
                        "ServiceUserName": "Resident 1"
                    },
                    {
                        "ServiceUserName": "Resident 2"
                    }
                ],
                "NumberOfDays": 0
            }
}'
SELECT *
FROM OPENJSON(@json, '$.MonthDetails.Details') WITH (
   ServiceUserName nvarchar(100) '$.ServiceUserName' 
   /*, ... other columns */
)

要正确解析JSON,您应该使用以下语句:

DECLARE @json nvarchar(max)
SELECT @json = N'[
    {
        "MonthDetails": [
            {
                "Month": 1,
                "MonthName": "January 2020",
                "Details": [
                    {
                        "ServiceUserName": "Resident 1"
                    },
                    {
                        "ServiceUserName": "Resident 2"
                    }
                ],
                "NumberOfDays": 0
            }
        ]
    }
]'
SELECT j2.*
FROM OPENJSON(@json, '$[0].MonthDetails') WITH (
   Details nvarchar(max) '$.Details' AS JSON
) j1
CROSS APPLY OPENJSON(j1.Details, '$') WITH (
   ServiceUserName nvarchar(100) '$.ServiceUserName' 
   /*, ... other columns */
) j2
英文:

The reason for this unexpected result in your example is the fact, that you have a JSON structure, that includes nested JSON arrays and you don't have an object or array, that can be parsed with OPENJSON() and path like '$.MonthDetails.Details'. In this case, you need to use an additional APPLY operator and OPENJSON() call to parse the nested JSON arrays.

The statement in the question will work, if you have a JSON with the following format ( the whole JSON and the "MonthDetails" key are JSON objects, not JSON arrays):

DECLARE @json nvarchar(max)
SELECT @json = N'{
        "MonthDetails": {
                "Month": 1,
                "MonthName": "January 2020",
                "Details": [
                    {
                        "ServiceUserName": "Resident 1"
                    },
                    {
                        "ServiceUserName": "Resident 2"
                    }
                ],
                "NumberOfDays": 0
            }
}'
SELECT *
FROM OPENJSON(@json, '$.MonthDetails.Details') WITH (
   ServiceUserName nvarchar(100) '$.ServiceUserName' 
   /*, ... other columns */
)

To parse the JSON correctly, you should use the following statement:

DECLARE @json nvarchar(max)
SELECT @json = N'[
    {
        "MonthDetails": [
            {
                "Month": 1,
                "MonthName": "January 2020",
                "Details": [
                    {
                        "ServiceUserName": "Resident 1"
                    },
                    {
                        "ServiceUserName": "Resident 2"
                    }
                ],
                "NumberOfDays": 0
            }
        ]
    }
]'
SELECT j2.*
FROM OPENJSON(@json, '$[0].MonthDetails') WITH (
   Details nvarchar(max) '$.Details' AS JSON
) j1
CROSS APPLY OPENJSON(j1.Details, '$') WITH (
   ServiceUserName nvarchar(100) '$.ServiceUserName' 
   /*, ... other columns */
) j2

答案3

得分: 0

由于MonthDetails内有两个数组,我假设您想要两行数据。因此,您实际上可能想要的是这样的查询:

SELECT D.*
-- 获取第一个数组,使用[0],如AlwaysLearning所指出的
FROM OPENJSON(@JSON, '$[0].MonthDetails')
        WITH (Details nvarchar(MAX) AS JSON) OJ
    -- 现在解析内部数据
    CROSS APPLY OPENJSON(OJ.Details)
        WITH (ServiceUserName nvarchar(100) '$.ServiceUserName',
              ServiceUserLastName nvarchar(100) '$.ServiceUserName',
              SUID nvarchar(150) '$.SUID', -- 这不应该是uniqueidentifier吗?
                                           -- 为什么使用nvarchar(150),而uniqueidentifer只有36个字符,可以使用varchar来显示?
              InfectionType nvarchar(30) '$.InfectionType',
              DateStarted nvarchar(10) '$.DateStarted', -- 这不应该是日期吗?
              DateCleared nvarchar(10) '$.DateCleared', -- 这不应该是日期吗?
              NextReviewDate nvarchar(10) '$.NextReviewDate', -- 这不应该是日期吗?
              AntibioticsStartDate nvarchar(10) '$.AntibioticsStartDate', -- 这不应该是日期吗?
              AntibioticsEndDate nvarchar(10) '$.AntibioticsEndDate', -- 这不应该是日期吗?
              AcquiredOnAdmission nvarchar(5) '$.AcquiredOnAdmission', -- 为什么使用nvarchar,当它只能是true或false?
              NeedsBarrierNursing nvarchar(5) '$.NeedsBarrierNursing',-- 为什么使用nvarchar,当它只能是true或false?
              IsOpen nvarchar(5) '$.IsOpen',
              DaysToClear nvarchar(5) '$.DaysToClear', -- 这不应该是整数吗?
              SURecordOpen nvarchar(5) '$.SURecordOpen') D; -- 为什么使用nvarchar,当它只能是true或false?

请注意,我强烈建议更改为正确的数据类型,我已经在评论中提到了这一点。

<details>
<summary>英文:</summary>

As you have 2 arrays inside `MonthDetails`, I assume you want 2 rows. Therefore it seems like what you are actually after might be this:

    SELECT D.*
    --Get first array, using [0], as pointed out by AlwaysLearning
    FROM OPENJSON(@JSON, &#39;$[0].MonthDetails&#39;)
            WITH (Details nvarchar(MAX) AS JSON) OJ
        --Now parse the inner data
        CROSS APPLY OPENJSON(OJ.Details)
            WITH (ServiceUserName nvarchar(100) &#39;$.ServiceUserName&#39;,
                  ServiceUserLastName nvarchar(100) &#39;$.ServiceUserName&#39;,
                  SUID nvarchar(150) &#39;$.SUID&#39;, --Should this not be a uniqueidentifier?
                                               --Why an nvarchar(150) when a uniqueidentifer is a 36 characters which all can be displayed with a varchar?
                  InfectionType nvarchar(30) &#39;$.InfectionType&#39;,
                  DateStarted nvarchar(10) &#39;$.DateStarted&#39;, --Should this not be a date?
                  DateCleared nvarchar(10) &#39;$.DateCleared&#39;, --Should this not be a date?
                  NextReviewDate nvarchar(10) &#39;$.NextReviewDate&#39;, --Should this not be a date?
                  AntibioticsStartDate nvarchar(10) &#39;$.AntibioticsStartDate&#39;, --Should this not be a date?
                  AntibioticsEndDate nvarchar(10) &#39;$.AntibioticsEndDate&#39;, --Should this not be a date?
                  AcquiredOnAdmission nvarchar(5) &#39;$.AcquiredOnAdmission&#39;, --Why an nvarchar when it can only be true or false?
                  NeedsBarrierNursing nvarchar(5) &#39;$.NeedsBarrierNursing&#39;,--Why an nvarchar when it can only be true or false?
                  IsOpen nvarchar(5) &#39;$.IsOpen&#39;,
                  DaysToClear nvarchar(5) &#39;$.DaysToClear&#39;, --Should this not be an int?
                  SURecordOpen nvarchar(5) &#39;$.SURecordOpen&#39;) D; --Why an nvarchar when it can only be true or false?

Note I strongly recommend changing to the correct data type, which i have commented on.

</details>



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  • 本文由 发表于 2020年1月6日 18:24:01
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