JDBC
PetraDB 包含一个适用于 JVM 应用程序的 JDBC 4 驱动。该驱动通过 Java ServiceLoader 机制自动注册。它以单个 fat jar 发布,没有传递依赖。
Maven:
<dependency> <groupId>io.github.edadma</groupId> <artifactId>petradb-jdbc</artifactId> <version>1.5.0</version></dependency>Gradle:
implementation 'io.github.edadma:petradb-jdbc:1.5.0'sbt:
libraryDependencies += "io.github.edadma" % "petradb-jdbc" % "1.5.0"或直接从 Maven Central 下载 jar 文件。
Connection conn = DriverManager.getConnection("jdbc:petradb:memory");每个连接创建一个隔离的内存数据库。
Connection conn = DriverManager.getConnection("jdbc:petradb:file:/path/to/database.petra");打开现有数据库或创建新数据库。支持的文件扩展名:
| 扩展名 | 后端 |
|---|---|
.petra | 持久化页面存储 |
.ptxt | 文本存储 |
| 其他 | 持久化页面存储(默认) |
Properties props = new Properties();props.setProperty("user", "username");props.setProperty("password", "password");
Connection conn = DriverManager.getConnection("jdbc:petradb://localhost:5480", props);Statement
Section titled “Statement”Statement stmt = conn.createStatement();
// 查询ResultSet rs = stmt.executeQuery("SELECT * FROM users");
// 更新int rowCount = stmt.executeUpdate("INSERT INTO users (name) VALUES ('Alice')");
// 通用执行boolean hasResults = stmt.execute("SELECT 1");PreparedStatement
Section titled “PreparedStatement”使用 ? 参数占位符:
PreparedStatement ps = conn.prepareStatement( "SELECT * FROM users WHERE id = ? AND active = ?");ps.setInt(1, 42);ps.setBoolean(2, true);ResultSet rs = ps.executeQuery();支持的设置方法:
| 方法 | SQL 类型 |
|---|---|
setInt(index, value) | INT |
setLong(index, value) | BIGINT |
setFloat(index, value) | FLOAT |
setDouble(index, value) | DOUBLE |
setBigDecimal(index, value) | NUMERIC |
setString(index, value) | TEXT |
setBoolean(index, value) | BOOLEAN |
setDate(index, value) | DATE |
setTimestamp(index, value) | TIMESTAMP |
setNull(index, sqlType) | NULL |
setObject(index, value) | 自动检测 |
Statement 批量
Section titled “Statement 批量”Statement stmt = conn.createStatement();stmt.addBatch("INSERT INTO users (name) VALUES ('Alice')");stmt.addBatch("INSERT INTO users (name) VALUES ('Bob')");int[] counts = stmt.executeBatch();PreparedStatement 批量
Section titled “PreparedStatement 批量”PreparedStatement ps = conn.prepareStatement( "INSERT INTO users (name, email) VALUES (?, ?)");
ps.setString(1, "Alice");ps.setString(2, "alice@example.com");ps.addBatch();
ps.setString(1, "Bob");ps.setString(2, "bob@example.com");ps.addBatch();
int[] counts = ps.executeBatch();ResultSet
Section titled “ResultSet”只向前、只读的结果集:
ResultSet rs = stmt.executeQuery("SELECT id, name FROM users");while (rs.next()) { int id = rs.getInt("id"); String name = rs.getString("name"); // rs.wasNull() 检查最后读取的值是否为 NULL}rs.close();按索引(从 1 开始)或名称访问列:
rs.getInt(1); // 按位置rs.getString("name"); // 按标签默认启用自动提交。禁用它以进行显式事务控制:
conn.setAutoCommit(false);try { stmt.executeUpdate("UPDATE accounts SET balance = balance - 100 WHERE id = 1"); stmt.executeUpdate("UPDATE accounts SET balance = balance + 100 WHERE id = 2"); conn.commit();} catch (SQLException e) { conn.rollback();}DatabaseMetaData
Section titled “DatabaseMetaData”DatabaseMetaData meta = conn.getMetaData();
// 列出表ResultSet tables = meta.getTables(null, null, null, null);while (tables.next()) { String tableName = tables.getString("TABLE_NAME");}
// 列出列ResultSet cols = meta.getColumns(null, null, "users", null);while (cols.next()) { String name = cols.getString("COLUMN_NAME"); String type = cols.getString("TYPE_NAME"); boolean nullable = cols.getInt("NULLABLE") == DatabaseMetaData.columnNullable;}
// 主键ResultSet pks = meta.getPrimaryKeys(null, null, "users");
// 外键ResultSet fks = meta.getImportedKeys(null, null, "orders");
// 索引ResultSet idxs = meta.getIndexInfo(null, null, "users", false, false);getColumns() 根据每列的类型和精度/标度返回 COLUMN_SIZE、DECIMAL_DIGITS 和 CHAR_OCTET_LENGTH:
| 列类型 | COLUMN_SIZE | DECIMAL_DIGITS | CHAR_OCTET_LENGTH |
|---|---|---|---|
VARCHAR(n) / CHAR(n) | n | null | n * 4 |
TEXT | 2147483647 | null | 2147483647 |
INT / SERIAL | 10 | 0 | null |
BIGINT / BIGSERIAL | 19 | 0 | null |
NUMERIC(p,s) | p | s | null |
BOOLEAN | 1 | null | null |
| PetraDB 类型 | JDBC 类型 | Java 类型 |
|---|---|---|
| INT / SERIAL | Types.INTEGER | Integer |
| BIGINT / BIGSERIAL | Types.BIGINT | Long |
| DOUBLE | Types.DOUBLE | Double |
| NUMERIC | Types.NUMERIC | BigDecimal |
| TEXT / VARCHAR / CHAR | Types.VARCHAR | String |
| BOOLEAN | Types.BOOLEAN | Boolean |
| DATE | Types.DATE | java.sql.Date |
| TIMESTAMP | Types.TIMESTAMP | java.sql.Timestamp |
| UUID / ENUM | Types.VARCHAR | String |