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{
"name": "conditional_when_otherwise",
"pyspark_version": "3.5",
"input": {
"schema": [
{
"name": "id",
"type": "string"
},
{
"name": "age",
"type": "string"
},
{
"name": "salary",
"type": "string"
},
{
"name": "col1",
"type": "string"
},
{
"name": "col2",
"type": "string"
},
{
"name": "col3",
"type": "string"
}
],
"rows": [
[
1,
25,
50000,
null,
"backup",
"default"
],
[
2,
35,
null,
"primary",
null,
"default"
],
[
3,
45,
70000,
"primary",
"backup",
null
]
]
},
"operations": [],
"expected": {
"schema": [
{
"name": "id",
"type": "string"
},
{
"name": "age",
"type": "string"
},
{
"name": "salary",
"type": "string"
},
{
"name": "col1",
"type": "string"
},
{
"name": "col2",
"type": "string"
},
{
"name": "col3",
"type": "string"
}
],
"rows": [
[
"1",
"25",
"50000",
null,
"backup",
"default"
],
[
"2",
"35",
null,
"primary",
null,
"default"
],
[
"3",
"45",
"70000",
"primary",
"backup",
null
]
]
}
}