请给我一个calcite的demo
时间: 2023-12-06 07:44:12 浏览: 232
avatica-core-1.17.0-API文档-中文版.zip
下面是一个使用Calcite进行SQL查询的简单示例:
```java
import org.apache.calcite.jdbc.CalciteConnection;
import org.apache.calcite.schema.SchemaPlus;
import org.apache.calcite.sql.SqlNode;
import org.apache.calcite.tools.Frameworks;
import org.apache.calcite.tools.Planner;
import org.apache.calcite.tools.PlannerFactory;
import org.apache.calcite.tools.RuleSets;
import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.ResultSet;
import java.sql.Statement;
public class CalciteDemo {
public static void main(String[] args) throws Exception {
Class.forName("org.apache.calcite.jdbc.Driver");
Connection connection = DriverManager.getConnection("jdbc:calcite:");
CalciteConnection calciteConnection = connection.unwrap(CalciteConnection.class);
SchemaPlus rootSchema = calciteConnection.getRootSchema();
// Add a custom schema to the root schema
MySchema mySchema = new MySchema();
rootSchema.add("myschema", mySchema);
// Prepare a SQL statement
String sql = "SELECT name FROM myschema.mytable WHERE id = 1";
SqlNode sqlNode = calciteConnection.parseQuery(sql);
// Create a planner and plan the query
PlannerFactory plannerFactory = Frameworks.getPlannerFactory();
Planner planner = plannerFactory.createPlanner(calciteConnection);
SqlNode validatedNode = planner.validate(sqlNode);
SqlNode optimizedNode = planner.optimize(validatedNode);
String plan = planner.getBestPhysicalPlan(optimizedNode).get().explain();
// Execute the query and print the results
Statement statement = calciteConnection.createStatement();
ResultSet resultSet = statement.executeQuery(sql);
while (resultSet.next()) {
String name = resultSet.getString(1);
System.out.println(name);
}
resultSet.close();
statement.close();
connection.close();
}
}
// A custom schema implementation
class MySchema {
public MyTable mytable = new MyTable();
public static class MyTable {
public String[] names = {"Alice", "Bob", "Charlie"};
public String getName(int id) {
return names[id - 1];
}
}
}
```
在这个示例中,我们创建了一个自定义模式并将其添加到Calcite的根模式中。然后,我们准备了一个SQL查询,并使用Calcite执行它。最后,我们输出了查询结果。
请注意,在实际应用中,您需要将自己的数据源包装成一个Calcite的Schema实现,并将其添加到Calcite的根模式中。然后,您可以使用Calcite解析和优化用户的SQL查询,并使用您的数据源执行查询。
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