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{
"name": "aggregation",
"pyspark_version": "3.5",
"input": {
"schema": [
{
"name": "id",
"type": "string"
},
{
"name": "name",
"type": "string"
},
{
"name": "age",
"type": "string"
},
{
"name": "salary",
"type": "double"
}
],
"rows": [
[
1,
"Alice",
25,
50000.0
],
[
2,
"Bob",
30,
60000.0
],
[
3,
"Charlie",
35,
70000.0
]
]
},
"operations": [
{
"op": "agg",
"aggregations": [
{
"func": "avg",
"alias": "avg_salary",
"column": "salary"
}
]
}
],
"expected": {
"schema": [
{
"name": "avg_salary",
"type": "double"
}
],
"rows": [
[
60000.0
]
]
}
}