问题描述
我需要使用m子中的dataweave将现有的分隔符文件转换为json格式。
样本输入:
Name~#~ID~#~Company~#~Address
SRI~#~1~#~Infy~#~Bangalore
Rahul~#~2~#IBM~#~US
John~#~3~#~SF~#~UK
样本输出
{
Name: Sri
ID: 1
Company: Infy
Adress: Bangalore
},{
Name: Rahul
ID: 2
Company: IBM
Adress: US
},{
Name: John
ID: 3
Company: SF
Adress: UK
}
Dataweave转换
解决方法
一个非常有趣的问题,您可以使用readLines
中的dw::core::Binaries
函数,然后将其除以~#~
。请记住,将有效负载设置为application/octet-stream
mimeType,以便dw将其作为二进制数据进行处理,以后您可以使用此代码段对其进行解析。
%dw 2.0
output application/json
import dw::core::Binaries
var lines = Binaries::readLinesWith(payload,"UTF-8")
---
lines match {
case [x ~ xs] -> do {
var header = x splitBy "~#~"
---
xs map ((item,index) -> {
(item splitBy "~#~" map (column,index) -> {
(header[index]): column
} )
})
}
}
,
使用以下输入(input.txt):
Name~#~ID~#~Company~#~Address
SRI~#~1~#~Infy~#~Bangalore
Rahul~#~2~#~IBM~#~US
John~#~3~#~SF~#~UK
以及以下DataWeave代码:
%dw 2.0
output application/json
var payload = readUrl("classpath://input.txt","text/plain") splitBy(/\r\n/)
var header= payload[0] splitBy(/~#~/)
var data = payload[1 to -1]
---
data map (item,index) ->
{(item splitBy(/~#~/) map
{
(header[$$]): $
})}
结果是:
[
{
"Name": "SRI","ID": "1","Company": "Infy","Address": "Bangalore"
},{
"Name": "Rahul","ID": "2","Company": "IBM","Address": "US"
},{
"Name": "John","ID": "3","Company": "SF","Address": "UK"
}
]
我建议将数组作为输出