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You can exclude columns from the output by defining a destination schema that omits unwanted columns. No special configuration is needed — simply remove the columns from the destination schema that you don’t want in the output.

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How It Works

When a destination schema (destination.schemaProperties) is defined, only the columns listed in it are written to the destination. Columns present in the source but absent from the destination schema are dropped.

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Example

Given source data with columns id, name, email, internal_code, created_at: 
{
  "name": "employees",
  "source": {
    "schemaProperties": {
      "fields": [
        {"name": "id", "type": "int"},
        {"name": "name", "type": "string"},
        {"name": "email", "type": "string"},
        {"name": "internal_code", "type": "string"},
        {"name": "created_at", "type": "timestamp"}
      ]
    },
    "fileAttributes": {
      "csvAttributes": {"delimiter": ",", "header": true, "encoding": "UTF-8"}
    }
  },
  "destination": {
    "schemaProperties": {
      "fields": [
        {"name": "id", "type": "int"},
        {"name": "name", "type": "string"},
        {"name": "email", "type": "string"}
      ]
    },
    "database": {
      "dbName": "mydb",
      "schema": "public",
      "table": "employees",
      "usePostgres": true
    }
  }
}
In this example, internal_code and created_at are present in the source but excluded from the destination schema, so they are dropped from the output.

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Notes

  • This feature works with delimited data only
  • The destination schema field names must match source schema field names (case-insensitive)
  • Column order in the destination schema determines the output column order