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{
"name": "first_value_window",
"pyspark_version": "3.5.0",
"input": {
"schema": [
{
"name": "id",
"type": "bigint"
},
{
"name": "name",
"type": "string"
},
{
"name": "dept",
"type": "string"
},
{
"name": "salary",
"type": "bigint"
}
],
"rows": [
[
1,
"Alice",
"Sales",
1000
],
[
2,
"Bob",
"Sales",
1500
],
[
3,
"Charlie",
"Engineering",
2000
],
[
4,
"David",
"Engineering",
2500
],
[
5,
"Eve",
"Sales",
1200
]
]
},
"operations": [
{
"op": "orderBy",
"columns": [
"dept",
"salary"
],
"ascending": [
true,
false
]
},
{
"op": "window",
"column": "first_sal",
"func": "first_value",
"partition_by": [
"dept"
],
"order_by": [
{
"col": "salary",
"asc": false
}
],
"value_column": "salary"
},
{
"op": "orderBy",
"columns": [
"dept",
"salary"
],
"ascending": [
true,
false
]
}
],
"expected": {
"schema": [
{
"name": "id",
"type": "bigint"
},
{
"name": "name",
"type": "string"
},
{
"name": "dept",
"type": "string"
},
{
"name": "salary",
"type": "bigint"
},
{
"name": "first_sal",
"type": "bigint"
}
],
"rows": [
[
4,
"David",
"Engineering",
2500,
2500
],
[
3,
"Charlie",
"Engineering",
2000,
2500
],
[
2,
"Bob",
"Sales",
1500,
1500
],
[
5,
"Eve",
"Sales",
1200,
1500
],
[
1,
"Alice",
"Sales",
1000,
1500
]
]
}
}