MongoDB Driver
DataCap MongoDB Driver 主要要用于在 DataCap 中连接和操作 MongoDB 数据库。该驱动支持以下语法:
SHOW ...
语法SELECT ...
语法
DataCap MongoDB Driver 适用于所有 DataCap 版本。
使用方式¶
<dependency>
<groupId>io.edurt.datacap</groupId>
<artifactId>datacap-driver-mongodb</artifactId>
<version>${VERSION}</version>
<scope>test</scope>
</dependency>
VERSION
可以在 Maven 中央仓库中找到。
驱动名称:io.edurt.datacap.driver.MongoJdbcDriver
支持的连接语法:
jdbc:mongodb:
jdbc:mongo:
jdbc:mongodb+srv:
使用示例¶
- 授权用户
Class.forName("io.edurt.datacap.driver.MongoJdbcDriver");
Properties props = new Properties();
props.setProperty("database", "xxxx");
props.setProperty("user", "xxxx");
props.setProperty("password", "xxxx");
String jdbcUrl = String.format("jdbc:mongodb://%s:%d", "127.0.0.1", 27017);
connection = DriverManager.getConnection(jdbcUrl, props);
- 非授权用户
Class.forName("io.edurt.datacap.driver.MongoJdbcDriver");
String jdbcUrl = String.format("jdbc:mongodb://%s:%d", "127.0.0.1", 27017);
connection = DriverManager.getConnection(jdbcUrl);
SHOW 语法¶
DataCap MongoDB Driver 支持以下 SHOW 语法:
SHOW DATABASES
SHOW DATABASES LIKE ...
SHOW TABLES
SHOW TABLES FROM ...
SHOW TABLES LIKE ...
SHOW COLUMNS
SHOW COLUMNS FROM ...
SHOW COLUMNS FROM ... FROM ...
SHOW COLUMNS FROM ... LIKE ...
SELECT 语法¶
DataCap MongoDB Driver 支持以下 SELECT 语法:
SELECT * FROM ...
SELECT ... FROM ...
SELECT column_name AS alias_name FROM ...
SELECT column_name AS alias_name, ... FROM ...
SELECT column_name AS alias_name, ... FROM ... WHERE ...
SELECT column_name AS alias_name, ... FROM ... WHERE ... ORDER BY ...
SELECT column_name AS alias_name, ... FROM ... WHERE ... ORDER BY ... LIMIT ...
SELECT column_name AS alias_name, ... FROM ... WHERE ... GROUP BY ...
SELECT column_name AS alias_name, ... FROM ... WHERE ... GROUP BY ... LIMIT ... OFFSET ...
SELECT column_name AS alias_name, SUM(columnName) ... FROM ... WHERE ... GROUP BY ...
聚合函数¶
DataCap MongoDB Driver 支持以下聚合函数:
COUNT(*)
COUNT(columnName)
SUM(columnName)
AVG(columnName)
MIN(columnName)
MAX(columnName)
最后更新:
December 4, 2024
创建日期: December 4, 2024
创建日期: December 4, 2024