I'm trying to convert below input json to flatten necessary column names and its values while retaining all metadata.
Below is the input json that I've for my CDC use-case.
{
"type": "update",
"timestamp": 1558346256000,
"binlog_filename": "mysql-bin-changelog.000889",
"binlog_position": 635,
"database": "books",
"table_name": "publishers",
"table_id": 111,
"columns": [
{
"id": 1,
"name": "id",
"column_type": 4,
"last_value": 2,
"value": 2
},
{
"id": 2,
"name": "name",
"column_type": 12,
"last_value": "Suresh",
"value": "Suresh123"
},
{
"id": 3,
"name": "email",
"column_type": 12,
"last_value": "Suresh@yahoo.com",
"value": "Suresh@yahoo.com"
}
]
}
Below is the expected output json
[
{
"type": "update",
"timestamp": 1558346256000,
"binlog_filename": "mysql-bin-changelog.000889",
"binlog_position": 635,
"database": "books",
"table_name": "publishers",
"table_id": 111,
"columns": {
"id": "2",
"name": "Suresh123",
"email": "Suresh@yahoo.com"
}
}
]
I tried the below spec from which I'm able to retrieve columns object but not the rest of the metadata.
[
{
"operation": "shift",
"spec": {
"columns": {
"*": {
"@(value)": "[#1].@(1,name)"
}
}
}
}
]
Any leads would be very much appreciated.
I got the JOLT spec for above transformation. I'm posting it here incase if anyone stumbles upon the something like this.
[
{
"operation": "shift",
"spec": {
"columns": {
"*": {
"@(value)": "columns.@(1,name)"
}
},
"*": "&"
}
}
]
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