Scala
Installation
Section titled “Installation”Add to your build.sbt:
libraryDependencies += "io.github.edadma" %%% "petradb-engine" % "1.5.0"Package Structure
Section titled “Package Structure”PetraDB is split across two packages:
io.github.edadma.petradb— shared types (Result,Value,Row,TableValue,Sessiontrait)io.github.edadma.petradb.engine— the database engine (MemoryDB,PersistentDB,TextDB,Session,executeSQL)
Import both to use the engine directly:
import io.github.edadma.petradb.*import io.github.edadma.petradb.engine.*In-Memory Database
Section titled “In-Memory Database”import io.github.edadma.petradb.*import io.github.edadma.petradb.engine.*
given Session = new MemoryDB().connect()Persistent Database
Section titled “Persistent Database”import io.github.edadma.petradb.*import io.github.edadma.petradb.engine.*
// Create newval db = PersistentDB.create("path/to/db", pageSize = 4096)given Session = db.connect()
// Reopen existingval db = PersistentDB.open("path/to/db")given Session = db.connect()
// Close when donedb.close()Text Database
Section titled “Text Database”import io.github.edadma.petradb.*import io.github.edadma.petradb.engine.*
val db = TextDB.open("path/to/data.ptxt")given Session = db.connect()
db.close()Human-readable .ptxt file. Loads into memory on open, rewrites after every change. Works on JVM and Native.
Executing SQL
Section titled “Executing SQL”executeSQL(sql: String)(using Session): Seq[Result]
Section titled “executeSQL(sql: String)(using Session): Seq[Result]”Executes one or more semicolon-separated SQL statements and returns a sequence of results.
val results: Seq[Result] = executeSQL("SELECT * FROM users")Result Types
Section titled “Result Types”sealed trait Resultcase class QueryResult(table: TableValue) extends Resultcase class InsertResult(obj: Map[String, Value], table: TableValue) extends Resultcase class CreateTableResult(table: String) extends Resultcase class DropTableResult(table: String) extends Resultcase class CreateIndexResult(name: String) extends Resultcase class DropIndexResult(name: String) extends Resultcase class CreateTypeResult(typ: String) extends Resultcase class DropTypeResult(name: String) extends Resultcase class CreateViewResult(name: String) extends Resultcase class DropViewResult(name: String) extends Resultcase class CreateSequenceResult(name: String) extends Resultcase class DropSequenceResult(name: String) extends Resultcase class UpdateResult(rows: Int) extends Resultcase class DeleteResult(rows: Int) extends Resultcase class TruncateResult(table: String) extends Resultcase class AlterTableResult() extends Resultcase class ExplainResult(plan: String) extends Resultcase class PrepareResult(name: String) extends Resultcase class DeallocateResult(name: String) extends Resultcase class CopyResult(rows: Int) extends Resultcase class CreateSchemaResult(name: String) extends Resultcase object BeginResult extends Resultcase object CommitResult extends Resultcase object RollbackResult extends Resultcase object DoBlockResult extends Resultcase class CreateFunctionResult(name: String) extends Resultcase class DropFunctionResult(name: String) extends Resultcase class CreateProcedureResult(name: String) extends Resultcase class DropProcedureResult(name: String) extends Resultcase class CreateTriggerResult(name: String) extends Resultcase class DropTriggerResult(name: String) extends Resultcase object CallResult extends ResultAccessing Query Data
Section titled “Accessing Query Data”val QueryResult(table) = executeQuery("SELECT * FROM users")
// Access rowsval rows: IndexedSeq[Row] = table.data
for (row <- table.data) { val id: Int = row.getInt("id") val name: String = row.getString("name") val email: Option[String] = row.getStringOption("email")}User-Defined Functions
Section titled “User-Defined Functions”Register native Scala functions callable from SQL, triggers, and stored procedures:
db.registerScalarFunction("my_double", { case Seq(v) => NumberValue(v.intValue * 2)}, NumberType)
// Now usable in SQL:// SELECT my_double(age) FROM users;Functions registered this way work everywhere: SELECT, WHERE, DO blocks, stored functions, and triggers.
Value Extraction
Section titled “Value Extraction”val row: Row = table.data.head
// Type-safe extractionval id: Int = row.getInt("id")val name: String = row.getString("name")val email: Option[String] = row.getStringOption("email")val isActive: Boolean = row.getBoolean("is_active")
// Direct accessval value: Value = row("column_name")