{
"test_id": "column_expr",
"pyspark_version": "3.5",
"generated_at": "2025-10-27T14:25:48.665755",
"input_data": [
{
"id": 1,
"name": "Alice",
"age": 25,
"salary": 50000.0
},
{
"id": 2,
"name": "Bob",
"age": 30,
"salary": 60000.0
},
{
"id": 3,
"name": "Charlie",
"age": 35,
"salary": 70000.0
}
],
"operation": "DataFrame operation: column_expr",
"expected_output": {
"schema": {
"field_count": 1,
"field_names": [
"(age + 1)"
],
"field_types": [
"long"
],
"fields": [
{
"name": "(age + 1)",
"type": "long",
"nullable": true
}
]
},
"data": [
{
"(age + 1)": 26
},
{
"(age + 1)": 31
},
{
"(age + 1)": 36
}
],
"row_count": 3
}
}