{
"test_id": "transform_keys",
"pyspark_version": "3.5",
"generated_at": "2025-10-27T14:13:24.889818",
"input_data": [
{
"id": 1,
"map1": {
"a": 1,
"b": 2
},
"map2": {
"c": 3,
"d": 4
},
"key": "a"
},
{
"id": 2,
"map1": {
"x": 10,
"y": 20
},
"map2": {
"z": 30
},
"key": "x"
},
{
"id": 3,
"map1": {
"p": 100,
"q": 200
},
"map2": {
"r": 300
},
"key": "p"
}
],
"operation": "DataFrame operation: transform_keys",
"expected_output": {
"schema": {
"field_count": 1,
"field_names": [
"transform_keys(map1, lambdafunction(upper(namedlambdavariable()), namedlambdavariable(), namedlambdavariable()))"
],
"field_types": [
"map"
],
"fields": [
{
"name": "transform_keys(map1, lambdafunction(upper(namedlambdavariable()), namedlambdavariable(), namedlambdavariable()))",
"type": "map",
"nullable": true
}
]
},
"data": [
{
"transform_keys(map1, lambdafunction(upper(namedlambdavariable()), namedlambdavariable(), namedlambdavariable()))": {
"A": 1,
"B": 2
}
},
{
"transform_keys(map1, lambdafunction(upper(namedlambdavariable()), namedlambdavariable(), namedlambdavariable()))": {
"X": 10,
"Y": 20
}
},
{
"transform_keys(map1, lambdafunction(upper(namedlambdavariable()), namedlambdavariable(), namedlambdavariable()))": {
"P": 100,
"Q": 200
}
}
],
"row_count": 3
}
}