duckdb-simple

duckdb-simple provides a high-level Haskell interface to DuckDB inspired by the ergonomics of sqlite-simple. It builds on the low-level bindings exposed by duckdb-ffi and provides a focused API for opening connections, running queries, binding parameters, and decoding typed results—including the full set of DuckDB scalar types (signed/unsigned integers, decimals, hugeints, intervals, precise and timezone-aware temporals, blobs, enums, bit strings, and bignums).

Getting Started

{-# LANGUAGE OverloadedStrings #-}

import Database.DuckDB.Simple
import Database.DuckDB.Simple.Types (Only (..))

main :: IO ()
main =
  withConnection ":memory:" \conn -> do
    _ <- execute_ conn "CREATE TABLE items (id INTEGER, name TEXT)"
    _ <- execute conn "INSERT INTO items VALUES (?, ?)" (1 :: Int, "banana" :: String)
    rows <- query_ conn "SELECT id, name FROM items ORDER BY id"
    mapM_ print (rows :: [(Int, String)])

Key Modules

• Database.DuckDB.Simple – connections, prepared statements, execution, queries, metadata, and error handling.
• Database.DuckDB.Simple.ToField / ToRow – typeclasses and helpers for preparing positional or named parameters.
• Database.DuckDB.Simple.FromField / FromRow – typeclasses for decoding query results, with generic deriving support for product types.
• Database.DuckDB.Simple.Types – shared types (Query, Null, Only, (:.), SQLError).
• Database.DuckDB.Simple.Function – register scalar Haskell functions that can be invoked directly from SQL.

Querying Data

import Database.DuckDB.Simple
import Database.DuckDB.Simple.Types (Only (..))

fetchNames :: Connection -> IO [Maybe String]
fetchNames conn = do
  _ <- execute_ conn "CREATE TABLE names (value TEXT)"
  _ <- executeMany conn "INSERT INTO names VALUES (?)"
    [Only (Just "Alice"), Only (Nothing :: Maybe String)]
  fmap fromOnly <$> query_ conn "SELECT value FROM names ORDER BY value IS NULL, value"

The execution helpers return the number of affected rows (Int) so callers can assert on data changes when needed.

Named Parameters

duckdb-simple supports both positional (?) and named parameters. Named parameters are bound with the (:=) helper exported from Database.DuckDB.Simple.ToField.

import Database.DuckDB.Simple
import Database.DuckDB.Simple (NamedParam ((:=)))

insertNamed :: Connection -> IO Int
insertNamed conn =
  executeNamed conn
    "INSERT INTO events VALUES ($kind, $payload)"
    ["$kind" := ("metric" :: String), "$payload" := ("ok" :: String)]

DuckDB does not allow mixing positional and named placeholders within the same SQL statement; the library preserves DuckDB’s error message in that situation. Savepoints are currently rejected by DuckDB, so withSavepoint raises an SQLError describing the limitation.

If the number of supplied parameters does not match the statement’s declared placeholders—or if you attempt to bind named arguments to a positional-only statement—duckdb-simple raises a FormatError before executing the query.

Decoding rows

FromRow is powered by a RowParser, which means instances can be written in a monadic/Applicative style and even derived generically for product types:

{-# LANGUAGE DeriveAnyClass #-}
{-# LANGUAGE DeriveGeneric #-}

import Database.DuckDB.Simple
import GHC.Generics (Generic)

data Person = Person
  { personId :: Int
  , personName :: Text
  }
  deriving stock (Show, Generic)
  deriving anyclass (FromRow)

fetchPeople :: Connection -> IO [Person]
fetchPeople conn = query_ conn "SELECT id, name FROM person ORDER BY id"

Helper combinators such as field, fieldWith, and numFieldsRemaining are available when a custom instance needs fine-grained control.

Resource Management

• withConnection and withStatement wrap the open/close lifecycle and guard against exceptions; use them whenever possible to avoid leaking C handles.
• All intermediate DuckDB objects (results, prepared statements, values) are released immediately after use. Long queries still materialise their result sets when using the eager helpers; reach for fold/fold_/foldNamed (or the lower-level nextRow) to stream results in constant space.
• execute/query variants reset statement bindings each run so prepared statements can be reused safely.

Metadata helpers

• columnCount and columnName expose prepared-statement metadata so you can inspect result shapes before executing a query.
• rowsChanged tracks the number of rows affected by the most recent mutation on a connection. DuckDB does not offer a lastInsertRowId; prefer SQL RETURNING clauses when you need generated identifiers.

Streaming Results

fold, fold_, and foldNamed expose DuckDB’s chunked result API, letting you aggregate or stream rows without materialising the entire result set:

import Database.DuckDB.Simple.Types (Only (..))

sumValues :: Connection -> IO Int
sumValues conn =
  fold_ conn "SELECT n FROM stream_fold ORDER BY n" 0 $ \acc (Only n) ->
    pure (acc + n)

For manual cursor-style iteration, use nextRow/nextRowWith on an open Statement to pull rows one at a time and decide when to stop.

Feature Coverage

• Connections, prepared statements, positional/named parameter binding.
• High-level execution (execute*) and eager queries (query*, queryNamed).
• Streaming helpers (fold, foldNamed, fold_, nextRow) for constant-space result processing.
• Comprehensive scalar type support: signed/unsigned integers, HUGEINT/UHUGEINT, decimals (with width/scale), intervals, precise and timezone-aware temporals, enums, bit strings, blobs, and bignums.
• Row decoding via FromField/FromRow, with generic deriving for product types.
• User-defined scalar functions backed by Haskell functions.
• Transaction helpers (withTransaction, withSavepoint fallback) and metadata accessors (columnCount, columnName, rowsChanged).

User-Defined Functions

Scalar Haskell functions can be registered with DuckDB connections and used in SQL expressions. Argument and result types reuse the existing FromField and FunctionResult machinery, so Maybe values and IO actions work out of the box.

import Data.Int (Int64)
import Database.DuckDB.Simple
import Database.DuckDB.Simple.Function (createFunction, deleteFunction)
import Database.DuckDB.Simple.Types (Only (..))

registerAndUse :: Connection -> IO [Only Int64]
registerAndUse conn = do
  createFunction conn "hs_times_two" (\(x :: Int64) -> x * 2)
  result <- query_ conn "SELECT hs_times_two(21)" :: IO [Only Int64]
  deleteFunction conn "hs_times_two"
  pure result

Exceptions raised while the function executes are propagated back to DuckDB as SQLError values, and deleteFunction issues a DROP FUNCTION IF EXISTS statement to remove the registration. DuckDB registers C API scalar functions as internal entries; attempting to drop them this way will yield an error, which the library surfaces as an SQLError.

Tests

The test suite is built with tasty and covers connection management, statement lifecycle, parameter binding, and query execution.

cabal test duckdb-simple-test --test-show-details=direct