我想从SQL Server表的一列中的JSON中删除重复的节点。
JSON列:
{
"Categories": [
{
"Type": "Type1",
"GDS": [
{
"GDSName": "Type1_test1",
"IsEnable": true,
"Priority": 2
},
{
"GDSName": "Type1_test2",
"IsEnable": false,
"Priority": 0
}
]
},
{
"Type": "Type2",
"GDS": [
{
"GDSName": "Type2_test1",
"IsEnable": false,
"Priority": 0
},
{
"GDSName": "Type2_test2",
"IsEnable": true,
"Priority": 0
},
{
"GDSName": "Type2_test3",//this is duplicate,keep this
"IsEnable": true,
"Priority": 0
},
{
"GDSName": "Type2_test3",//this is duplicate ,delete this
"IsEnable": true,
"Priority": 0
}
]
},
{
"Type": "Type3",
"GDS": [
{
"GDSName": "Type3_test3",
"IsEnable": true,
"Priority": 0
}
]
}
]
}
中的此处
"Type": "Type2",
"GDS [2] & [3] of GDSName": "Type2_test3"
是重复的。
我需要确保如果Type2_test3存在,并且它是多个,那么通过每列保持Type2_test三单个条目来删除重复条目。
删除重复项的一种可能方法是以下步骤:
- 使用带有显式模式的
OPENJSON()
将输入JSON中的Categories
JSON数组解析为表 - 使用
FOR JSON AUTO
将不同的行输出为JSON - 使用
JSON_MODIFY()
用新的JSON修改Categories
JSON数组:
当然,您至少需要SQL Server 2016才能使用内置JSON支持。
JSON:
DECLARE @json nvarchar(max) = N'{
"Categories": [
{
"Type": "Type1",
"GDS": [
{
"GDSName": "Type1_test1",
"IsEnable": true,
"Priority": 2
},
{
"GDSName": "Type1_test2",
"IsEnable": false,
"Priority": 0
}
]
},
{
"Type": "Type2",
"GDS": [
{
"GDSName": "Type2_test1",
"IsEnable": false,
"Priority": 0
},
{
"GDSName": "Type2_test2",
"IsEnable": true,
"Priority": 0
},
{
"GDSName": "Type2_test3",
"IsEnable": true,
"Priority": 0
},
{
"GDSName": "Type2_test3",
"IsEnable": true,
"Priority": 0
}
]
},
{
"Type": "Type3",
"GDS": [
{
"GDSName": "Type3_test3",
"IsEnable": true,
"Priority": 0
}
]
}
]
}'
声明:
CREATE TABLE Data (JsonColumn nvarchar(max))
INSERT INTO Data (JsonColumn) VALUES (@json)
UPDATE Data
SET JsonColumn = JSON_MODIFY(
JsonColumn,
'$.Categories',
(
SELECT j.[Type], a.GDS
FROM OPENJSON(JsonColumn, '$.Categories') WITH (
[Type] varchar(10) '$.Type',
[GDS] nvarchar(max) '$.GDS' AS JSON
) j
CROSS APPLY (
SELECT DISTINCT GDSName, IsEnable, Priority
FROM OPENJSON(j.GDS) WITH (
GDSName varchar(50) '$.GDSName',
IsEnable bit '$.IsEnable',
Priority int '$.Priority'
)
FOR JSON PATH
) a (GDS)
FOR JSON AUTO
)
)
SELECT *
FROM Data