{
"test_id": "conditional_when_otherwise",
"pyspark_version": "3.5",
"generated_at": "2025-10-27T14:13:13.589022",
"input_data": [
{
"id": 1,
"age": 25,
"salary": 50000,
"col1": null,
"col2": "backup",
"col3": "default"
},
{
"id": 2,
"age": 35,
"salary": null,
"col1": "primary",
"col2": null,
"col3": "default"
},
{
"id": 3,
"age": 45,
"salary": 70000,
"col1": "primary",
"col2": "backup",
"col3": null
}
],
"operation": "DataFrame operation: conditional_when_otherwise",
"expected_output": {
"schema": {
"field_count": 1,
"field_names": [
"level"
],
"field_types": [
"string"
],
"fields": [
{
"name": "level",
"type": "string",
"nullable": false
}
]
},
"data": [
{
"level": "Junior"
},
{
"level": "Senior"
},
{
"level": "Senior"
}
],
"row_count": 3
}
}