Json行（.jsonl文件）和SQL Server 2016

Question

I've been going backwards and forwards over this but stumped. 我一直在向前和向后前进，但是很沮丧。 I have a file that has multiple JSON lines in it across multiple objects. 我有一个文件，其中有多个跨多个对象的JSON行。

I've put two lines below. 我在下面放了两行。

{
    "mental_health_act_legal_status": 
    [
        {"legal_status_classification": "16", "start_time": "16:32", "expiry_date": "20171014", "expiry_time": "20:28", "start_date": "20170912"}, 
        {"legal_status_classification": "07", "start_time": "01:31", "expiry_date": "20170922", "expiry_time": "17:53", "start_date": "20170820"}, 
        {"legal_status_classification": "36", "start_time": "00:25", "expiry_date": "20170909", "expiry_time": "18:08", "start_date": "20170801"}, 
        {"legal_status_classification": "18", "start_time": "18:26", "expiry_date": "20170801", "expiry_time": "12:40", "start_date": "20170724"}, 
        {"legal_status_classification": "18", "start_time": "10:26", "expiry_date": "20170801", "expiry_time": "03:07", "start_date": "20170623"}, 
        {"legal_status_classification": "18", "start_time": "04:11", "expiry_date": "20170621", "expiry_time": "12:51", "start_date": "20170601"}, 
        {"legal_status_classification": "17", "start_time": "07:54", "expiry_date": "20170605", "expiry_time": "05:04", "start_date": "20170512"}, 
        {"legal_status_classification": "31", "start_time": "02:41", "expiry_date": "20170520", "expiry_time": "11:14", "start_date": "20170920"}, 
        {"legal_status_classification": "03", "start_time": "23:17", "expiry_date": "20170504", "expiry_time": "06:29", "start_date": "20170925"}, 
        {"legal_status_classification": "05", "start_time": "17:41", "expiry_date": "20170403", "expiry_time": "01:23", "start_date": "20170331"}, 
        {"legal_status_classification": "36", "start_time": "05:05", "expiry_date": "20170322", "expiry_time": "14:30", "start_date": "20170312"}, 
        {"legal_status_classification": "03", "start_time": "03:45", "expiry_date": "20170310", "expiry_time": "11:56", "start_date": "20170213"}, 
        {"legal_status_classification": "01", "start_time": "14:03", "expiry_date": "20170201", "expiry_time": "06:02", "start_date": "20170118"}, 
        {"legal_status_classification": "09", "start_time": "07:07", "expiry_date": "20170121", "expiry_time": "22:15", "start_date": "20170111"}
    ], 
    "system": {"record_id": "1484925971009999954", "provider_record_id": "RTD           0167983       0000046", "sus_version": "20170927072844117", "spell_id": "1484925971009999954"}
} 
{
    "mental_health_act_legal_status": 
    [
        {"legal_status_classification": "15", "start_time": "18:51", "expiry_date": "20170919", "expiry_time": "23:04", "start_date": "20170904"}, 
        {"legal_status_classification": "19", "start_time": "06:11", "expiry_date": "20170908", "expiry_time": "09:17", "start_date": "20170818"},
        {"legal_status_classification": "15", "start_time": "20:36", "expiry_date": "20170818", "expiry_time": "07:44", "start_date": "20170723"},
        {"legal_status_classification": "01", "start_time": "16:12", "expiry_date": "20170809", "expiry_time": "21:25", "start_date": "20170718"},
        {"legal_status_classification": "09", "start_time": "06:06", "expiry_date": "20170707", "expiry_time": "18:10", "start_date": "20170615"},
        {"legal_status_classification": "07", "start_time": "11:53", "expiry_date": "20170625", "expiry_time": "14:09", "start_date": "20170527"},
        {"legal_status_classification": "19", "start_time": "07:13", "expiry_date": "20170529", "expiry_time": "00:39", "start_date": "20170503"},
        {"legal_status_classification": "35", "start_time": "16:01", "expiry_date": "20170521", "expiry_time": "07:18", "start_date": "20170912"},
        {"legal_status_classification": "35", "start_time": "02:45", "expiry_date": "20170430", "expiry_time": "06:47", "start_date": "20170902"},
        {"legal_status_classification": "03", "start_time": "19:51", "expiry_date": "20170410", "expiry_time": "18:46", "start_date": "20170319"},
        {"legal_status_classification": "13", "start_time": "20:58", "expiry_date": "20170310", "expiry_time": "10:52", "start_date": "20170220"},
        {"legal_status_classification": "02", "start_time": "13:11", "expiry_date": "20170217", "expiry_time": "00:42", "start_date": "20170127"},
        {"legal_status_classification": "15", "start_time": "18:23", "expiry_date": "20170209", "expiry_time": "20:03", "start_date": "20170120"},
        {"legal_status_classification": "07", "start_time": "00:59", "expiry_date": "20170119", "expiry_time": "12:33", "start_date": "20161231"}
    ], 
    "system": {"record_id": "1484925971009999916", "provider_record_id": "RTD           0167983       0000084", "sus_version": "20170927072844117", "spell_id": "1484925971009999916"}
}

If I use the openjson syntax, I can get it to load a section I want to one of the tables but only one line in the file is loaded; 如果我使用openjson语法，则可以将其加载到想要向其中一个表加载的节中，但仅加载文件中的一行； but I need to go through the entire file. 但我需要浏览整个文件。

I then looked at a .fmt file from a post here but from what I can tell from using this so far is that the JSON lines all have to be going to the same table. 然后，我从此处的帖子中查看了.fmt文件，但是从到目前为止的使用情况我可以看出，所有JSON行都必须转到同一张表。 You can't have multiple objects going to multiple tables in the line or it doesn't know where to split them. 您不能有多个对象去一行中的多个表，或者它不知道在哪里拆分它们。

My code for getting this into SQL, for just two tables covering the system and mental health act legal status is: 我的将代码导入SQL的代码，仅涉及系统和心理健康行为法律地位的两个表格是：

DECLARE @JSON NVARCHAR(MAX)

SET @JSON = (SELECT J.*
             FROM OPENROWSET
             (BULK 'C:\Users\report.jsonl', SINGLE_CLOB)
             AS j)

SELECT * FROM OPENJSON (@JSON, '$.system')
    WITH ([SUS_VERSION] VARCHAR (255) '$.sus_verion',
        [SPELL_ID] VARCHAR (255) '$.spell_id',
        [RECORD_ID] VARCHAR (255)'$.record_id',
        [PROVIDER_RECORD_ID] VARCHAR (255) '$.provider_record_id'
    )

SELECT [record_id], [legal_status_classification], [start_date], [start_time], [expiry_date], [expiry_time]
FROM OPENROWSET (BULK 'C:\Users\report.jsonl', SINGLE_CLOB) AS j
CROSS APPLY OPENJSON (BulkColumn, '$.mental_health_act_legal_status')
WITH (
    [legal_status_classification] VARCHAR (255),
    [start_time] VARCHAR (255),
    [expiry_date] VARCHAR (255),
    [expiry_time] VARCHAR (255),
    [start_date] VARCHAR (255)
    )
CROSS APPLY OPENJSON (BulkColumn, '$.system')
WITH (
    [record_id] VARCHAR (255)
    )

Is any one able to provide advice or help or what route to look at please. 有没有人能提供建议或帮助，或者请问看哪条路？

Thanks 谢谢

Answer 1

I don't think this is 'well formed JSON' - shouldn't there be a comma at the end if the first line? 我不认为这是“格式正确的JSON”-如果第一行不应该在结尾加上逗号？ and shouldn't it be surrounded by square brackets? 它不应该被方括号包围吗？ Did something generate this JSON? 产生了此JSON吗？

If you take a look at the sample lifted from here: https://docs.microsoft.com/en-us/sql/t-sql/functions/openjson-transact-sql you can see that multiple order records contained in curly braces are seperated by commas and surrounded by square brackets 如果您看一下从此处提取的示例： https : //docs.microsoft.com/zh-cn/sql/t-sql/functions/openjson-transact-sql，您会看到花括号中包含多个订单记录用逗号分隔，并用方括号括起来

DECLARE @json NVARCHAR(MAX) = N'[  
  {  
    "Order": {  
      "Number":"SO43659",  
      "Date":"2011-05-31T00:00:00"  
    },  
    "AccountNumber":"AW29825",  
    "Item": {  
      "Price":2024.9940,  
      "Quantity":1  
    }  
  },  
  {  
    "Order": {  
      "Number":"SO43661",  
      "Date":"2011-06-01T00:00:00"  
    },  
    "AccountNumber":"AW73565",  
    "Item": {  
      "Price":2024.9940,  
      "Quantity":3  
    }  
  }
]'  

SELECT *
FROM OPENJSON ( @json )  
WITH (   
              Number   varchar(200)   '$.Order.Number',  
              Date     datetime       '$.Order.Date',  
              Customer varchar(200)   '$.AccountNumber',  
              Quantity int            '$.Item.Quantity',  
              [Order]  nvarchar(MAX)  AS JSON  
 )

You can push data off to different tables. 您可以将数据推送到其他表。 It's not a limitation of OpenJSON , you just need to use staging tables etc to work out how to split it off. 这不是OpenJSON的限制，您只需要使用登台表等即可确定如何将其拆分。 I realise this is not really an answer but I will add more detail if you're interested. 我意识到这并不是真正的答案，但如果您有兴趣，我会添加更多详细信息。

I can get multiple rows with this syntax, but only because I added square brackets for an array, and put a comma between the elements: 我可以使用这种语法获取多行，但这仅仅是因为我为数组添加了方括号，并在元素之间添加了逗号：

DECLARE @JSON VARCHAR(MAX);

SET @JSON = '
[{
    "mental_health_act_legal_status": 
    [
        {"legal_status_classification": "16", "start_time": "16:32", "expiry_date": "20171014", "expiry_time": "20:28", "start_date": "20170912"}, 
        {"legal_status_classification": "07", "start_time": "01:31", "expiry_date": "20170922", "expiry_time": "17:53", "start_date": "20170820"}, 
        {"legal_status_classification": "36", "start_time": "00:25", "expiry_date": "20170909", "expiry_time": "18:08", "start_date": "20170801"}, 
        {"legal_status_classification": "18", "start_time": "18:26", "expiry_date": "20170801", "expiry_time": "12:40", "start_date": "20170724"}, 
        {"legal_status_classification": "18", "start_time": "10:26", "expiry_date": "20170801", "expiry_time": "03:07", "start_date": "20170623"}, 
        {"legal_status_classification": "18", "start_time": "04:11", "expiry_date": "20170621", "expiry_time": "12:51", "start_date": "20170601"}, 
        {"legal_status_classification": "17", "start_time": "07:54", "expiry_date": "20170605", "expiry_time": "05:04", "start_date": "20170512"}, 
        {"legal_status_classification": "31", "start_time": "02:41", "expiry_date": "20170520", "expiry_time": "11:14", "start_date": "20170920"}, 
        {"legal_status_classification": "03", "start_time": "23:17", "expiry_date": "20170504", "expiry_time": "06:29", "start_date": "20170925"}, 
        {"legal_status_classification": "05", "start_time": "17:41", "expiry_date": "20170403", "expiry_time": "01:23", "start_date": "20170331"}, 
        {"legal_status_classification": "36", "start_time": "05:05", "expiry_date": "20170322", "expiry_time": "14:30", "start_date": "20170312"}, 
        {"legal_status_classification": "03", "start_time": "03:45", "expiry_date": "20170310", "expiry_time": "11:56", "start_date": "20170213"}, 
        {"legal_status_classification": "01", "start_time": "14:03", "expiry_date": "20170201", "expiry_time": "06:02", "start_date": "20170118"}, 
        {"legal_status_classification": "09", "start_time": "07:07", "expiry_date": "20170121", "expiry_time": "22:15", "start_date": "20170111"}
    ], 
    "system": {"record_id": "1484925971009999954", "provider_record_id": "RTD           0167983       0000046", "sus_version": "20170927072844117", "spell_id": "1484925971009999954"}
},{
    "mental_health_act_legal_status": 
    [
        {"legal_status_classification": "15", "start_time": "18:51", "expiry_date": "20170919", "expiry_time": "23:04", "start_date": "20170904"}, 
        {"legal_status_classification": "19", "start_time": "06:11", "expiry_date": "20170908", "expiry_time": "09:17", "start_date": "20170818"},
        {"legal_status_classification": "15", "start_time": "20:36", "expiry_date": "20170818", "expiry_time": "07:44", "start_date": "20170723"},
        {"legal_status_classification": "01", "start_time": "16:12", "expiry_date": "20170809", "expiry_time": "21:25", "start_date": "20170718"},
        {"legal_status_classification": "09", "start_time": "06:06", "expiry_date": "20170707", "expiry_time": "18:10", "start_date": "20170615"},
        {"legal_status_classification": "07", "start_time": "11:53", "expiry_date": "20170625", "expiry_time": "14:09", "start_date": "20170527"},
        {"legal_status_classification": "19", "start_time": "07:13", "expiry_date": "20170529", "expiry_time": "00:39", "start_date": "20170503"},
        {"legal_status_classification": "35", "start_time": "16:01", "expiry_date": "20170521", "expiry_time": "07:18", "start_date": "20170912"},
        {"legal_status_classification": "35", "start_time": "02:45", "expiry_date": "20170430", "expiry_time": "06:47", "start_date": "20170902"},
        {"legal_status_classification": "03", "start_time": "19:51", "expiry_date": "20170410", "expiry_time": "18:46", "start_date": "20170319"},
        {"legal_status_classification": "13", "start_time": "20:58", "expiry_date": "20170310", "expiry_time": "10:52", "start_date": "20170220"},
        {"legal_status_classification": "02", "start_time": "13:11", "expiry_date": "20170217", "expiry_time": "00:42", "start_date": "20170127"},
        {"legal_status_classification": "15", "start_time": "18:23", "expiry_date": "20170209", "expiry_time": "20:03", "start_date": "20170120"},
        {"legal_status_classification": "07", "start_time": "00:59", "expiry_date": "20170119", "expiry_time": "12:33", "start_date": "20161231"}
    ], 
    "system": {"record_id": "1484925971009999916", "provider_record_id": "RTD           0167983       0000084", "sus_version": "20170927072844117", "spell_id": "1484925971009999916"}
}]';


SELECT * FROM OPENJSON (@JSON)
    WITH ([SUS_VERSION] VARCHAR (255) '$.system.sus_verion',
        [SPELL_ID] VARCHAR (255) '$.system.spell_id',
        [RECORD_ID] VARCHAR (255)'$.system.record_id',
        [PROVIDER_RECORD_ID] VARCHAR (255) '$.system.provider_record_id'
    );

Json行（.jsonl文件）和SQL Server 2016

问题描述

1 个解决方案

解决方案1
0 2017-10-09 23:20:25

Json行（.jsonl文件）和SQL Server 2016

问题描述

1 个解决方案

解决方案1 0 2017-10-09 23:20:25

解决方案1
0 2017-10-09 23:20:25