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Comma-Separated Values (Simple)

Type Registry

Comma-Separated Values (Simple)

container.array.comma_separated

Simple list of comma-separated values (not JSON array, plain CSV). Example: "apple,banana,cherry" RECURSIVE INFERENCE: Samples elements and infers common type, returns LIST<inferred_type>. If all elements parse as integers, returns LIST<BIGINT>. If mixed types, returns LIST<VARCHAR>.

Domain container›array
Casts to VARCHAR
Scope Universal

Try it

CLI 
$ finetype infer -i "apple,banana,cherry"
→ container.array.comma_separated

DuckDB

Detect 
SELECT finetype('apple,banana,cherry');
-- → 'container.array.comma_separated'
Cast expression 
CAST({col} AS VARCHAR)
Safe cast pipeline 
-- Normalise and cast in one step
SELECT TRY_CAST(finetype_cast(my_column) AS VARCHAR) AS clean_value
FROM my_table
WHERE finetype(my_column) = 'container.array.comma_separated';

Decompose

STRING_SPLIT({col}, ',')

JSON Schema

finetype schema container.array.comma_separated 
{
  "$id": "https://noon.sh/schemas/container.array.comma_separated",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "description": "Simple list of comma-separated values (not JSON array, plain CSV). Example: \"apple,banana,cherry\"\nRECURSIVE INFERENCE: Samples elements and infers common type, returns LIST<inferred_type>. If all elements parse as integers, returns LIST<BIGINT>. If mixed types, returns LIST<VARCHAR>.",
  "examples": [
    "apple,banana,cherry",
    "1,2,3,4,5",
    "red,green,blue"
  ],
  "pattern": "^[^,]+(,[^,]+)*$",
  "title": "Comma-Separated Values (Simple)",
  "type": "string"
}

Examples

apple,banana,cherry1,2,3,4,5red,green,blue

Also known as

csv_simplecomma_list

Types in container