MeridianMERIDIAN

CSV Record

Single CSV record or row stored as a delimited string. Format: value1,value2,value3 (may include quoted values).

CSV Record

container.object.csv

Single CSV record or row stored as a delimited string. Format: value1,value2,value3 (may include quoted values).

Domain
container
Category
object
Casts to
VARCHAR
Scope
Universal

Try it

CLI
$ finetype infer -i "John,30,true"
→ container.object.csv

DuckDB

Detect
SELECT finetype('John,30,true');
-- → 'container.object.csv'
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.object.csv';

Decompose

Expression
RECURSIVE_INFER_ON_CSV_COLUMNS({col})

JSON Schema

finetype schema container.object.csv
{
  "$id": "https://meridian.online/schemas/container.object.csv",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "description": "Single CSV record or row stored as a delimited string. Format: value1,value2,value3 (may include quoted values).\nRECURSIVE INFERENCE: When classified as container.object.csv, FineType requires a schema (column names and types). With schema, parses and types each value. Without schema, returns unparsed CSV string.\nNOTE: CSV classification is rare for individual records. More common to classify at the column level (entire CSV file as one string).",
  "examples": [
    "John,30,true",
    "\"Smith, John\",30,Engineer"
  ],
  "pattern": "^[^,]+(,[^,]+)*$",
  "title": "CSV Record",
  "type": "string",
  "x-finetype-broad-type": "VARCHAR",
  "x-finetype-transform": "CAST({col} AS VARCHAR)"
}

Examples

John,30,true"Smith, John",30,Engineer

Aliases

csv_rowdelimited_record

Type Registry