java使用assign订阅，使用SASL_SSL协议的SCRAM-SHA-256加密方式消费kafka数据

如果不是有要求或者kafka生产者没有消费者群组，就不要用assign方式订阅，还是用subscribe订阅主题，我是被生产者坑了，开始给我说没有消费者群组，所有我只能用assign订阅指定分区，后来才给我说有消费者群组。

import com.alibaba.fastjson2.JSON;
import org.apache.kafka.clients.consumer.*;
import org.apache.kafka.common.PartitionInfo;
import org.apache.kafka.common.TopicPartition;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.boot.CommandLineRunner;
import org.springframework.stereotype.Component;
import java.util.*;
@Component
public class KafkaConsumerAssign implements
        CommandLineRunner {
    @Value("${ss.pubTopic}")
    private String pubTopic = "topic";
    @Value("${ss.kafkaAddress}")
    private String kafkaAddress = "xx.xx.xxx.xx:8093,xx.xxx.xxx.xx:8093,xx.xxx.xxx.xx:8093";
    public void autoCommit() {
        ConsumerDict consumerDict = new ConsumerDict();
        Properties properties = new Properties();
        // 指定key与value的反序列化器
        properties.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
        properties.put("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
        properties.put("enable.auto.commit", false);//手动提交提交
        properties.put("bootstrap.servers", kafkaAddress);//kafka连接地址
        //消费者群组，如果没有群组的话可以写通，若果有消费者组不写会，后面提交偏移量的时候会报错
        properties.put(ConsumerConfig.GROUP_ID_CONFIG, "group_id");//消费者组
//        properties.put("max.poll.records",50);//单次最大记录数
//        properties.put("session.timeout.ms","50000");//消费者连接的超时时间
        properties.put("sasl.jaas.config", "org.apache.kafka.common.security.scram.ScramLoginModule required username='用户名' password='密码';"); 
        properties.put("security.protocol", "SASL_SSL");//安全协议
        properties.put("sasl.mechanism", "SCRAM-SHA-256");//加密方式
        //指定truststore文件
        properties.put("ssl.truststore.location", "D:/xxx/xx/xxx/xxxxxx.jks");
        //truststore文件密码
        properties.put("ssl.truststore.password", "aaaaaa");
        KafkaConsumer<String, String> consumer = new KafkaConsumer<String, String>(properties);
        ArrayList<TopicPartition> topicPartitions = new ArrayList<>();
        //使用partitionsFor获取该topic下所有的分区
        List<PartitionInfo> partitionInfos = consumer.partitionsFor(pubTopic);
        for (PartitionInfo partitionInfo : partitionInfos) {
            topicPartitions.add(new TopicPartition(partitionInfo.topic(), partitionInfo.partition()));
        }
        //使用assign方式订阅kafka
        consumer.assign(topicPartitions);
        operationKafkaMessage(consumer);
    }
    //启动程序后自动启动此kafka客户端
    @Override
    public void run(String... args) {
        new KafkaConsumerAssign().autoCommit();
    }
    private void operationKafkaMessage(KafkaConsumer<String, String> consumer) {
        while (true) {
            ConsumerRecords<String, String> records = consumer.poll(100);//100ms 自动获取一次数据,消费者主动发起请求
            //循环所有的分区
            for (TopicPartition partition : records.partitions()) {
                List<ConsumerRecord<String, String>> partitionRecords = records.records(partition);
                //获取每个分区中的所有数据
                for (ConsumerRecord<String, String> record : partitionRecords) {
                    System.out.println(record.offset() + ": " + record.value());                
                }
                //当前的消费到的位置
                long lastOffset = partitionRecords.get(partitionRecords.size() - 1).offset();
                //处理完每个分区中的消息后，提交偏移量。
                consumer.commitSync(Collections.singletonMap(partition, new OffsetAndMetadata(lastOffset + 1)));
            }
        }
    }
    public static void main(String[] args) {
        //new KafkaConsumerAssign().autoCommit();
    }
}