SqlServer解析XML，解析JSON数据格式
一：解析XML(SQL2005版本开始支持)
declare @pro_xml varchar(max)=
'
3
10
10.00
0.00
4
20
20.00
30.00
7
30
30.00
40.00
'
declare @xml xml=@pro_xml
select * from (
select t.c.value('(pro_id/text())[1]','int') as pro_id,
t.c.value('(pro_sale_num/text())[1]','int') as pro_sale_num,
t.c.value('(server_amount/text())[1]','decimal(18,2)') as server_amount,
t.c.value('(express_amount/text())[1]','decimal(18,2)') as express_amount
from @xml.nodes('/reg/node') as t(c)
) as T
二.解析JSON（SQL2016版本开始支持）
SqlServer对json的功能主要包含 IsJson, Json_Value, Json_Modify, Json_Query
1: IsJson 解析该字符串是否是合法的json格式
格式：IsJson(@express)
declare @pro_json varchar(max)
set @pro_json='[
{"pro_id":3,"pro_sale_num":10,"server_amount":"10.00","express_amount":"5"},
{"pro_id":4,"pro_sale_num":15,"server_amount":"15.00","express_amount":"10"},
{"pro_id":7,"pro_sale_num":20,"server_amount":"20.00","express_amount":"15"}
]'
select IsJson(@pro_json)
合法返回1，不合法返回0, 如果表达式为 NULL，则返回NULL
2: Json_Value 从Json字符串中提出标量值
格式：Json_Value (value,'$.column') from openjson(@express)
注：include_null_values 表示表达式中为NULL,输出NULL
declare @pro_json varchar(max)
set @pro_json='[
{"pro_id":3,"pro_sale_num":10,"server_amount":"10.00","express_amount":"5"},
{"pro_id":4,"pro_sale_num":15,"server_amount":"15.00","express_amount":"10"},
{"pro_id":7,"pro_sale_num":20,"server_amount":"20.00","express_amount":"15"}
]'
select
JSON_VALUE(value,'$.pro_id') as pro_id,
JSON_VALUE(value,'$.pro_sale_num') as pro_sale_num,
JSON_VALUE(value,'$.server_amount') as server_amount,
JSON_VALUE(value,'$.express_amount') as express_amount
from openjson(@pro_json) include_null_values3: Json_Query从Json字符串中提取对象或数组
格式：Json_Query(value,'$.object') from openjson(@express)
declare @pro_json varchar(max)
set @pro_json='[
{"pro_id":3,"pro_sale_num":[{"sale_id":13,"sale_num":103}],"server_amount":"10.00","express_amount":"5"},
{"pro_id":4,"pro_sale_num":[{"sale_id":14,"sale_num":104}],"server_amount":"15.00","express_amount":"10"}
]'
select JSON_VALUE(value,'$.pro_id'),JSON_QUERY(VALUE,'$.pro_sale_num') from openjson(@pro_json)
4: json_Modify 更新Json字符串中的属性值，并返回更新的Json字符串
格式：json_Modify(value,'$.column',newValue) from openjson(@express)
declare @pro_json varchar(max)
set @pro_json=
'[
{"pro_id":3,"pro_sale_num":[{"sale_id":13,"sale_num":103}],"server_amount":"10.00","express_amount":"5"},
{"pro_id":4,"pro_sale_num":[{"sale_id":14,"sale_num":104}],"server_amount":"15.00","express_amount":"10"}
]'
select JSON_MODIFY(value,'$.pro_id','2') from openjson(@pro_json)
5:多层复杂的Json解析
declare @pro_json varchar(max)
set @pro_json=
'[
{"pro_id":3,"pro_sale_num":[{"sale_id":13,"sale_num":103}],"server_amount":"10.00","express_amount":"5"},
{"pro_id":4,"pro_sale_num":[{"sale_id":14,"sale_num":104}],"server_amount":"15.00","express_amount":"10"}
]'
select JSON_VALUE(value,'$.pro_id')as pro_id,
JSON_VALUE(value,'$.server_amount') as server_amount,
JSON_VALUE(value,'$.express_amount') as express_amount,
t.sale_id,t.sale_num
from openJson(@pro_json) as a
cross apply
(select JSON_VALUE(value,'$.sale_id')as sale_id,JSON_VALUE(value,'$.sale_num')as sale_num from openJson(Json_Query(value,'$.pro_sale_num')) as b)
as t
6:将Json字符串解析为表对象
DECLARE @JsonStr VARCHAR(max)=
'{
"shidu": "33%",
"pm25": 80.0,
"pm10": 127.0,
"quality": "轻度污染",
"wendu": "7",
"ganmao": "儿童、老年人及心脏、呼吸系统疾病患者人群应减少长时间或高强度户外锻炼",
"yesterday": {
"date": "21",
"sunrise": "07:49",
"high": "高温 7.0℃",
"low": "低温 -5.0℃",
"sunset": "18:02",
"aqi": 77.0,
"ymd": "2019-01-21",
"week": "星期一",
"fx": "西风",
"fl": "<3级",
"type": "晴",
"notice": "愿你拥有比阳光明媚的心情"
},
"forecast": [
{
"date": "22",
"sunrise": "07:49",
"high": "高温 10.0℃",
"low": "低温 -5.0℃",
"sunset": "18:03",
"aqi": 104.0,
"ymd": "2019-01-22",
"week": "星期二",
"fx": "西南风",
"fl": "<3级",
"type": "晴",
"notice": "愿你拥有比阳光明媚的心情"
},
{
"date": "23",
"sunrise": "07:48",
"high": "高温 9.0℃",
"low": "低温 -4.0℃",
"sunset": "18:04",
"aqi": 184.0,
"ymd": "2019-01-23",
"week": "星期三",
"fx": "东北风",
"fl": "3-4级",
"type": "晴",
"notice": "愿你拥有比阳光明媚的心情"
},
{
"date": "24",
"sunrise": "07:48",
"high": "高温 5.0℃",
"low": "低温 -3.0℃",
"sunset": "18:05",
"aqi": 262.0,
"ymd": "2019-01-24",
"week": "星期四",
"fx": "南风",
"fl": "<3级",
"type": "多云",
"notice": "阴晴之间，谨防紫外线侵扰"
},
{
"date": "25",
"sunrise": "07:48",
"high": "高温 4.0℃",
"low": "低温 -3.0℃",
"sunset": "18:06",
"aqi": 258.0,
"ymd": "2019-01-25",
"week": "星期五",
"fx": "西风",
"fl": "<3级",
"type": "晴",
"notice": "愿你拥有比阳光明媚的心情"
},
{
"date": "26",
"sunrise": "07:47",
"high": "高温 5.0℃",
"low": "低温 -1.0℃",
"sunset": "18:07",
"aqi": 195.0,
"ymd": "2019-01-26",
"week": "星期六",
"fx": "东北风",
"fl": "<3级",
"type": "多云",
"notice": "阴晴之间，谨防紫外线侵扰"
}
]
}'
SELECT * FROM OPENJSON(@JsonStr) 