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# orville-sqlite # orville-sqlite
This library is intended to be a SQLite Haskell API similar in spirit to https://github.com/flipstone/orville/ A type-safe SQLite API for Haskell, modeled after the [Flipstone Orville](https://github.com/flipstone/orville/) PostgreSQL library.
The goal of this library is to provide a type safe approach to mapping Haskell types to SQLite data. We aim for type-safe queries and migrations. Maps Haskell data types to SQLite tables with compile-time schema guarantees.
The Flipstone orville library is robust and deep. This library aspires to the same but realizes it's unlikely to get there anytime soon. ## Status — MVP
## Goal The MVP provides the core pipeline: define columns and record marshallers, auto-migrate schemas, and execute basic CRUD queries.
This library intends to provide a similar API for describing the database schema and executing queries as the Flipstone Orville library. ## Usage
We will not port the PostgreSQL implementation directly but instead target a similar API.
The APIs that concern us the most are:
- Orville.PostgreSQL.Marshall.SqlMarshaller
- Orville.PostgreSQL.AutoMigration as AutoMigration
- Orville.PostgreSQL.Execution
and even for those, we only what's strictly necessary to define a way to take a Haskell data type like
```haskell ```haskell
{-# LANGUAGE DataKinds #-}
data Person = import Orville.SQLite
data Person = Person
{ personId :: Int64
, firstName :: Text
, lastName :: Text
, age :: Int64
}
deriving (Show, Eq)
-- Column definitions (type-safe, parameterized by nullability)
personIdField :: FieldDefinition 'NotNull Int64
personIdField = integerField "id"
firstNameField :: FieldDefinition 'NotNull Text
firstNameField = textField "first_name"
lastNameField :: FieldDefinition 'NotNull Text
lastNameField = textField "last_name"
ageField :: FieldDefinition 'NotNull Int64
ageField = integerField "age"
-- SqlMarshaller: maps the record to/from SQL columns
personMarshaller :: SqlMarshaller Person Person
personMarshaller =
Person Person
{ firstName :: Text <$> marshallReadOnlyField personIdField -- auto-increment PK
, lastName :: Text <*> marshallField firstName firstNameField
, age :: Int <*> marshallField lastName lastNameField
} <*> marshallField age ageField
-- TableDefinition ties a table name, primary key, and marshaller together
personTable :: TableDefinition Int64 Person Person
personTable =
mkTableDefinition "person" (primaryKey personId personIdField) personMarshaller
main :: IO ()
main = do
db <- openConnection "people.db"
withConnection db $ do
-- Auto-migrate: creates the table if it doesn't exist
autoMigrateSchema defaultOptions [schemaTable personTable []]
-- Insert
insertEntity personTable (Person 0 "Alice" "Smith" 30)
insertEntity personTable (Person 0 "Bob" "Jones" 25)
-- Query by primary key
mAlice <- findEntity personTable 1
-- mAlice = Just (Person 1 "Alice" "Smith" 30)
-- Find all
all <- findAll personTable
-- all = [Person 1 "Alice" "Smith" 30, Person 2 "Bob" "Jones" 25]
-- Update
updateEntity personTable (Person 1 "Alice" "Jones" 31)
-- Delete
deleteEntity personTable 2
pure ()
closeConnection db
``` ```
and map it to a table of schema The above creates this table:
```sql ```sql
CREATE TABLE person ( CREATE TABLE IF NOT EXISTS person (
first_name VARCHAR(100) NOT NULL, age INTEGER NOT NULL,
last_name VARCHAR(100) NOT NULL, last_name TEXT NOT NULL,
age INT first_name TEXT NOT NULL,
id INTEGER PRIMARY KEY
); );
``` ```
and then give us an API for marshalling that Haskell type to that table definition ## Modules
then using that marshaller we should have APIs that can; | Module | Purpose |
|--------|---------|
| `Orville.SQLite` | Top-level re-exports |
| `Orville.SQLite.Monad` | `OrvilleM` reader monad and connection management |
| `Orville.SQLite.SqlType` | Type encoding/decoding for SQLite storage classes |
| `Orville.SQLite.FieldDefinition` | GADT column definitions with `NotNull`/`Nullable` |
| `Orville.SQLite.SqlMarshaller` | GADT record-to-table mapping (applicative syntax) |
| `Orville.SQLite.TableDefinition` | `PrimaryKey` and `mkTableDefinition` |
| `Orville.SQLite.AutoMigration` | Schema introspection via `PRAGMA table_info`, DDL generation |
| `Orville.SQLite.Execution` | `insertEntity`, `findEntity`, `findAll`, `updateEntity`, `deleteEntity` |
- create the table if it does not exist ## Feature Coverage
- alter the table to match the schema if the table does exist but its columns don't match
- query the table and retrieve Person values
- insert Person values into the table
- update the table from Person values.
## Development environment ### Included (MVP)
The development environment should be entirely inside of Docker - no local - `FieldDefinition` with `NotNull`/`Nullable` type parameters
tools should be installed on the machine directly. use the `hs` wrapper script - `SqlMarshaller` GADT with `marshallField`, `marshallReadOnlyField`, `marshallMaybe`
to execute Haskell tooling inside of Docker. - `TableDefinition` with single-column primary keys
- `AutoMigration`: create tables, add nullable columns, drop columns (explicit opt-in), dry-run
- `Execution`: insert, find-by-PK, find-all, update, delete
- In-memory databases (`:memory:`) and file-based databases
## Base SQLite library ### Not yet implemented
Our base library for interacting with SQLite should be direct-sqlite - https://github.com/IreneKnapp/direct-sqlite - Foreign keys and composite primary keys
- Table indexes
- Plans (N+1 query prevention via `Plan`)
- Batch operations
- Upsert (`upsertEntity`)
- `findEntitiesBy` (filtering on non-PK columns)
- `updateFields` (partial update)
- Raw SQL execution (`executeAndDecode`)
- Nested record marshalling and `prefixMarshaller`
- `AnnotatedSqlMarshaller`
- `SyntheticField`
- Connection pooling
## Development
All tooling runs inside Docker via the `./hs` wrapper. No local Haskell installation needed.
```bash
./hs stack build # build
./hs stack test # run tests (53 tests)
./hs stack ghci # REPL
./hs fourmolu -i src/ # format
```
Or use the convenience scripts:
```bash
./scripts/build # build with pedantic
./scripts/test # run tests
```
### Dependencies
- GHC 9.10.3
- [direct-sqlite](https://github.com/IreneKnapp/direct-sqlite) — low-level FFI binding to SQLite
- `text`, `bytestring`, `mtl`