{
"test_id": "transform_values",
"pyspark_version": "3.5",
"generated_at": "2025-10-27T14:13:24.914404",
"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_values",
"expected_output": {
"schema": {
"field_count": 1,
"field_names": [
"transform_values(map1, lambdafunction((namedlambdavariable() * 2), namedlambdavariable(), namedlambdavariable()))"
],
"field_types": [
"map"
],
"fields": [
{
"name": "transform_values(map1, lambdafunction((namedlambdavariable() * 2), namedlambdavariable(), namedlambdavariable()))",
"type": "map",
"nullable": true
}
]
},
"data": [
{
"transform_values(map1, lambdafunction((namedlambdavariable() * 2), namedlambdavariable(), namedlambdavariable()))": {
"a": 2,
"b": 4
}
},
{
"transform_values(map1, lambdafunction((namedlambdavariable() * 2), namedlambdavariable(), namedlambdavariable()))": {
"x": 20,
"y": 40
}
},
{
"transform_values(map1, lambdafunction((namedlambdavariable() * 2), namedlambdavariable(), namedlambdavariable()))": {
"p": 200,
"q": 400
}
}
],
"row_count": 3
}
}