Scala
添加到你的 build.sbt:
libraryDependencies += "io.github.edadma" %%% "petradb-engine" % "1.5.0"PetraDB 分为两个包:
io.github.edadma.petradb— 共享类型(Result、Value、Row、TableValue、Sessiontrait)io.github.edadma.petradb.engine— 数据库引擎(MemoryDB、PersistentDB、TextDB、Session、executeSQL)
导入两者以直接使用引擎:
import io.github.edadma.petradb.*import io.github.edadma.petradb.engine.*import io.github.edadma.petradb.*import io.github.edadma.petradb.engine.*
given Session = new MemoryDB().connect()持久化数据库
Section titled “持久化数据库”import io.github.edadma.petradb.*import io.github.edadma.petradb.engine.*
// 创建新数据库val db = PersistentDB.create("path/to/db", pageSize = 4096)given Session = db.connect()
// 重新打开已有数据库val db = PersistentDB.open("path/to/db")given Session = db.connect()
// 完成后关闭db.close()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()人类可读的 .ptxt 文件。打开时加载到内存,每次更改后重写。适用于 JVM 和 Native。
执行 SQL
Section titled “执行 SQL”executeSQL(sql: String)(using Session): Seq[Result]
Section titled “executeSQL(sql: String)(using Session): Seq[Result]”执行一个或多个以分号分隔的 SQL 语句,返回结果序列。
val results: Seq[Result] = executeSQL("SELECT * FROM users")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 Result访问查询数据
Section titled “访问查询数据”val QueryResult(table) = executeQuery("SELECT * FROM users")
// 访问行val 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")}用户自定义函数
Section titled “用户自定义函数”注册可从 SQL、触发器和存储过程中调用的原生 Scala 函数:
db.registerScalarFunction("my_double", { case Seq(v) => NumberValue(v.intValue * 2)}, NumberType)
// 现在可以在 SQL 中使用:// SELECT my_double(age) FROM users;以这种方式注册的函数可在所有位置使用:SELECT、WHERE、DO 块、存储函数和触发器。
val row: Row = table.data.head
// 类型安全提取val 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")
// 直接访问val value: Value = row("column_name")