问题1的报错信息显示pyflink.datastream.connectors中没有KafkaSink模块，因此导入失败。可能是在pyflink1.17版本中，KafkaSink模块被移除了。可以尝试使用新的Kafka相关模块，比如FlinkKafkaProducer等。

问题2中需要导入KafkaRecordSerializationSchema、SimpleStringSchema、DeliveryGuarantee这三个模块。完整示例代码如下：

from pyflink.common.serialization import SimpleStringSchema
from pyflink.datastream import StreamExecutionEnvironment
from pyflink.datastream.connectors import FlinkKafkaProducer
from pyflink.datastream import KafkaRecordSerializationSchema
from pyflink.datastream import DeliveryGuarantee

env = StreamExecutionEnvironment.get_execution_environment()

# 创建数据流
stream = env.from_collection([(1, 'hello'), (2, 'world')])

# 设置Kafka相关配置
kafka_props = {"bootstrap.servers": "localhost:9092",
               "key.serializer": "org.apache.kafka.common.serialization.StringSerializer",
               "value.serializer": "org.apache.kafka.common.serialization.StringSerializer"}

# 创建KafkaProducer
producer = FlinkKafkaProducer("test-topic", 
                              KafkaRecordSerializationSchema.builder()
                                .set_topic("test-topic")
                                .set_value_serializer(SimpleStringSchema())
                                .build(), 
                              kafka_props, 
                              FlinkKafkaProducer.Semantic.EXACTLY_ONCE, 
                              delivery_guarantee=DeliveryGuarantee.AT_LEAST_ONCE)

# 输出到Kafka
stream.add_sink(producer)

# 执行任务
env.execute("write to kafka")

在这个示例中，我们使用FlinkKafkaProducer模块代替了KafkaSink模块，使用KafkaRecordSerializationSchema模块来序列化数据，使用SimpleStringSchema模块来设置数据类型。在创建KafkaProducer时，我们使用了AT_LEAST_ONCE模式来保证数据至少被处理一次。最后，我们将数据流输出到Kafka主题中。

对于问题1，您需要从pyflink.datastream.connectors.kafka导入KafkaSink，而不是从pyflink.datastream.connectors导入。可以使用以下代码：

python from pyflink.datastream.connectors.kafka import KafkaSink 对于问题2，您需要导入KafkaRecordSerializationSchema和SimpleStringSchema。可以使用以下代码：

python from pyflink.common.serialization import SimpleStringSchema from pyflink.datastream.connectors.kafka import KafkaRecordSerializationSchema 然后，您可以使用以下代码实例化KafkaSink：

python sink = KafkaSink.builder() .set_bootstrap_servers(brokers) .set_record_serializer( KafkaRecordSerializationSchema.builder() .set_topic("topic-name") .set_value_serialization_schema(SimpleStringSchema()) .build() ) .set_delivery_guarantee(DeliveryGuarantee.AT_LEAST_ONCE) .build() 以下是一个完整的示例代码：

python from pyflink.common.serialization import SimpleStringSchema from pyflink.datastream.connectors.kafka import KafkaRecordSerializationSchema, KafkaSink from pyflink.datastream import StreamExecutionEnvironment

env = StreamExecutionEnvironment.get_execution_environment()

configure Kafka producer

brokers = "localhost:9092" topic = "test-topic"

create a stream

stream = env.from_collection([(1, "Hello"), (2, "World")])

create Kafka sink

sink = KafkaSink.builder() .set_bootstrap_servers(brokers) .set_record_serializer( KafkaRecordSerializationSchema.builder() .set_topic(topic) .set_value_serialization_schema(SimpleStringSchema()) .build() ) .set_delivery_guarantee(DeliveryGuarantee.AT_LEAST_ONCE) .build()

add Kafka sink to stream

stream.add_sink(sink)

execute the program

env.execute("Kafka Sink Example")