下面是一个使用Apache Samza的示例代码，该代码可以将表格刷新更新到更改日志：

import org.apache.samza.application.StreamApplication;
import org.apache.samza.application.descriptors.StreamApplicationDescriptor;
import org.apache.samza.serializers.JsonSerde;
import org.apache.samza.storage.kv.KeyValueStore;
import org.apache.samza.storage.kv.inmemory.InMemoryKeyValueStore;
import org.apache.samza.table.ReadWriteTable;
import org.apache.samza.table.Table;
import org.apache.samza.table.TableReadFunction;
import org.apache.samza.table.TableWriteFunction;
import org.apache.samza.table.descriptors.TableDescriptor;
import org.apache.samza.table.descriptors.TableDescriptorBuilder;
import org.apache.samza.task.StreamTask;
import org.apache.samza.task.TaskContext;
import org.apache.samza.task.TaskCoordinator;
import org.apache.samza.task.TaskCoordinator.RequestScope;
import org.apache.samza.task.TaskCoordinator.RequestType;
import org.apache.samza.task.WindowableTask;
import org.apache.samza.task.sql.SimpleMessage;

public class TableRefreshExample implements StreamApplication {

  private static final String INPUT_TOPIC = "input-topic";
  private static final String OUTPUT_TOPIC = "output-topic";
  private static final String STATE_STORE_NAME = "state-store";

  @Override
  public void describe(StreamApplicationDescriptor appDescriptor) {
    // 定义输入流和输出流
    appDescriptor.getInputStream(INPUT_TOPIC)
        .map(this::processRecord)
        .sendTo(appDescriptor.getOutputStream(OUTPUT_TOPIC));

    // 定义状态存储和表
    TableDescriptor tableDescriptor = new TableDescriptorBuilder<>(STATE_STORE_NAME)
        .withKeySerde(JsonSerde.of(String.class))
        .withValueSerde(JsonSerde.of(String.class))
        .withTableReadFunction(StateReadFunction.class)
        .withTableWriteFunction(StateWriteFunction.class)
        .build();
    appDescriptor.getTable(tableDescriptor);
  }

  private SimpleMessage processRecord(SimpleMessage message) {
    // 从表中读取数据
    KeyValueStore stateStore = getContext().getStore(STATE_STORE_NAME);
    String value = stateStore.get(message.getKey());

    // 更新数据
    if (value != null) {
      value = value + " " + message.getValue();
    } else {
      value = message.getValue();
    }

    // 将更新后的数据写回表中
    stateStore.put(message.getKey(), value);

    return new SimpleMessage(message.getKey(), value);
  }

  public static class StateReadFunction implements TableReadFunction {
    @Override
    public String get(String key) {
      // 从状态存储中读取数据
      KeyValueStore stateStore = getContext().getStore(STATE_STORE_NAME);
      return stateStore.get(key);
    }
  }

  public static class StateWriteFunction implements TableWriteFunction {
    @Override
    public void put(String key, String value) {
      // 将数据写入状态存储
      KeyValueStore stateStore = getContext().getStore(STATE_STORE_NAME);
      stateStore.put(key, value);

      // 立即将表格刷新更新到更改日志
      TaskCoordinator taskCoordinator = getContext().getTaskCoordinator();
      taskCoordinator.commit(RequestScope.ALL_TASKS_IN_CONTAINER, RequestType.ALL);
    }

    @Override
    public void delete(String key) {
      // 从状态存储中删除数据
      KeyValueStore stateStore = getContext().getStore(STATE_STORE_NAME);
      stateStore.delete(key);

      // 立即将表格刷新更新到更改日志
      TaskCoordinator taskCoordinator = getContext().getTaskCoordinator();
      taskCoordinator.commit(RequestScope.ALL_TASKS_IN_CONTAINER, RequestType.ALL);
    }
  }
}

这个示例代码中，我们定义了一个TableRefreshExample类，实现了StreamApplication接口。在describe方法中，我们定义了输入流和输出流，并且定义了一个名为state-store的状态存储和表。

在processRecord方法中，我们从表中读取数据，并根据具体业务逻辑进行数据处理和更新。然后，我们将更新后的数据写回表中。

在StateWriteFunction中，我们实现了TableWriteFunction接口的put和delete方法，用于将数据写入状态存储和删除数据。在这两个方法中，我们通过TaskCoordinator的commit方法将表格刷新更新到更改日志。