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{
"name": "read_csv",
"pyspark_version": "3.5.0",
"input": {
"schema": [
{
"name": "id",
"type": "int"
},
{
"name": "age",
"type": "int"
},
{
"name": "name",
"type": "string"
}
],
"rows": [
[
1,
25,
"Alice"
],
[
2,
30,
"Bob"
],
[
3,
35,
"Charlie"
]
],
"file_source": {
"format": "csv",
"content": "id,age,name\n1,25,Alice\n2,30,Bob\n3,35,Charlie\n"
}
},
"operations": [
{
"op": "filter",
"expr": "col('age') > 30"
},
{
"op": "select",
"columns": [
"name",
"age"
]
},
{
"op": "orderBy",
"columns": [
"name"
],
"ascending": [
true
]
}
],
"expected": {
"schema": [
{
"name": "name",
"type": "string"
},
{
"name": "age",
"type": "int"
}
],
"rows": [
[
"Charlie",
35
]
]
}
}