Apache Drill目前不支持在Kudu表上执行范围和哈希多级分区查询。但是，您可以通过编写自定义函数来实现此功能。下面是一个示例代码，展示了如何在Apache Drill中执行范围查询和哈希多级分区：

1. 首先，您需要在Drill中注册自定义函数。创建一个Java类，例如KuduFunctions.java：

import org.apache.drill.exec.expr.holders.VarCharHolder;
import org.apache.drill.exec.expr.holders.NullableVarCharHolder;
import io.netty.buffer.DrillBuf;
import org.apache.drill.exec.expr.annotations.Param;
import org.apache.drill.exec.expr.annotations.FunctionTemplate;
import org.apache.drill.exec.expr.annotations.Output;
import org.apache.drill.exec.expr.annotations.Workspace;
import org.apache.drill.exec.expr.annotations.FunctionTemplate.FunctionScope;
import org.apache.drill.exec.expr.annotations.FunctionTemplate.NullHandling;

import javax.inject.Inject;

@FunctionTemplate(name = "kudu_range_query", scope = FunctionScope.SIMPLE, nulls = NullHandling.NULL_IF_NULL)
public class KuduRangeQueryFunction {

    @Inject
    DrillBuf buffer;

    @Param
    VarCharHolder startKey;

    @Param
    VarCharHolder endKey;

    @Output
    NullableVarCharHolder out;

    public void setup() {}

    public void eval() {
        byte[] start = new byte[startKey.end - startKey.start];
        buffer.getBytes(startKey.start, start, 0, startKey.end - startKey.start);

        byte[] end = new byte[endKey.end - endKey.start];
        buffer.getBytes(endKey.start, end, 0, endKey.end - endKey.start);

        // TODO: Implement the logic to perform range query on Kudu table
        // ...

        // Set the output value
        out.isSet = 1;
        byte[] result = "Range query result".getBytes();
        out.buffer = buffer;
        out.start = 0;
        out.end = result.length;
        buffer.setBytes(0, result);
    }
}

2. 编译Java类：

$ javac -cp  KuduFunctions.java

3. 创建一个新的Drill函数定义文件，例如kudu_functions.json：

{
  "name": "kudu_functions",
  "functions": [
    {
      "name": "kudu_range_query",
      "params": [
        {
          "name": "startKey",
          "type": "VARCHAR"
        },
        {
          "name": "endKey",
          "type": "VARCHAR"
        }
      ],
      "return": {
        "type": "VARCHAR"
      },
      "deterministic": true,
      "class": "com.example.KuduRangeQueryFunction"
    }
  ]
}

4. 在Drill中注册自定义函数：

0: jdbc:drill:zk=local> ALTER SESSION SET `planner.enable_decimal_data_type` = true;
0: jdbc:drill:zk=local> CREATE FUNCTION kudu_range_query(VARCHAR, VARCHAR) RETURNS VARCHAR
    -> CLASSPATH 'path_to_compiled_class/KuduFunctions.jar' USING JAR;
0: jdbc:drill:zk=local> ALTER SESSION SET `store.hive.plugin.kudu.partitioning.deprecated` = true;

5. 使用自定义函数执行范围查询：

0: jdbc:drill:zk=local> SELECT kudu_range_query('start_key', 'end_key') FROM my_kudu_table;

请注意，这只是一个示例代码，您需要根据您的实际业务逻辑来实现自定义函数。同时，您还可以根据需要添加其他函数和逻辑。