robin-sparkless 4.4.0

PySpark-like DataFrame API in Rust on Polars; no JVM.
Documentation 
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{
  "test_id": "first",
  "pyspark_version": "3.5",
  "generated_at": "2025-10-27T14:13:19.638146",
  "input_data": [
    {
      "id": 1,
      "name": "Alice",
      "department": "IT",
      "salary": 50000,
      "hire_date": "2020-01-15"
    },
    {
      "id": 2,
      "name": "Bob",
      "department": "HR",
      "salary": 60000,
      "hire_date": "2019-03-10"
    },
    {
      "id": 3,
      "name": "Charlie",
      "department": "IT",
      "salary": 70000,
      "hire_date": "2021-07-22"
    },
    {
      "id": 4,
      "name": "David",
      "department": "IT",
      "salary": 55000,
      "hire_date": "2020-11-05"
    }
  ],
  "operation": "DataFrame operation: first",
  "expected_output": {
    "schema": {
      "field_count": 6,
      "field_names": [
        "department",
        "hire_date",
        "id",
        "name",
        "salary",
        "first_salary"
      ],
      "field_types": [
        "string",
        "string",
        "long",
        "string",
        "long",
        "long"
      ],
      "fields": [
        {
          "name": "department",
          "type": "string",
          "nullable": true
        },
        {
          "name": "hire_date",
          "type": "string",
          "nullable": true
        },
        {
          "name": "id",
          "type": "long",
          "nullable": true
        },
        {
          "name": "name",
          "type": "string",
          "nullable": true
        },
        {
          "name": "salary",
          "type": "long",
          "nullable": true
        },
        {
          "name": "first_salary",
          "type": "long",
          "nullable": true
        }
      ]
    },
    "data": [
      {
        "department": "HR",
        "hire_date": "2019-03-10",
        "id": 2,
        "name": "Bob",
        "salary": 60000,
        "first_salary": 60000
      },
      {
        "department": "IT",
        "hire_date": "2020-01-15",
        "id": 1,
        "name": "Alice",
        "salary": 50000,
        "first_salary": 50000
      },
      {
        "department": "IT",
        "hire_date": "2021-07-22",
        "id": 3,
        "name": "Charlie",
        "salary": 70000,
        "first_salary": 50000
      },
      {
        "department": "IT",
        "hire_date": "2020-11-05",
        "id": 4,
        "name": "David",
        "salary": 55000,
        "first_salary": 50000
      }
    ],
    "row_count": 4
  }
}