[英]Convert Delimiter fille to JSON format using Dataweave in Mule
I need to convert existing delimiter file to json format using dataweave in mule.我需要在 mule 中使用 dataweave 将现有的分隔符文件转换为 json 格式。
Sample Input:样本输入:
Name~#~ID~#~Company~#~Address
SRI~#~1~#~Infy~#~Bangalore
Rahul~#~2~#IBM~#~US
John~#~3~#~SF~#~UK
Sample outPut样品输出
{
Name: Sri
ID: 1
Company: Infy
Adress: Bangalore
},
{
Name: Rahul
ID: 2
Company: IBM
Adress: US
},
{
Name: John
ID: 3
Company: SF
Adress: UK
}
But i am getting below output但我低于输出
Dataweave Transforamtion数据编织转换
Very interesting question you can use readLines
function from dw::core::Binaries
and then split by ~#~
.非常有趣的问题,您可以使用
dw::core::Binaries
readLines
函数,然后按~#~
拆分。 Remember to set your payload to application/octet-stream
mimeType so dw will handle this as a Binary data and later you can use this snippet to parse it.请记住将您的有效负载设置为
application/octet-stream
mimeType,以便 dw 将其作为二进制数据处理,稍后您可以使用此代码段来解析它。
%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
} )
})
}
}
With the following input (input.txt):使用以下输入(input.txt):
Name~#~ID~#~Company~#~Address
SRI~#~1~#~Infy~#~Bangalore
Rahul~#~2~#~IBM~#~US
John~#~3~#~SF~#~UK
And the following DataWeave code: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[$$]): $
})}
The result is: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"
}
]
I recommend an array as an output我推荐一个数组作为输出
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