updates

src/main/java/com/example/zxweb/controller/KafkaController.java

@@ -16,8 +16,12 @@ import org.apache.kafka.clients.consumer.Consumer;
 import org.apache.kafka.clients.consumer.ConsumerRecord;
 import org.apache.kafka.clients.consumer.ConsumerRecords;
 import org.apache.kafka.clients.consumer.KafkaConsumer;
+import org.apache.kafka.clients.producer.Callback;
 import org.apache.kafka.clients.producer.KafkaProducer;
 import org.apache.kafka.clients.producer.ProducerRecord;
+import org.apache.kafka.clients.producer.RecordMetadata;
+import org.apache.kafka.common.KafkaException;
+import org.apache.kafka.common.errors.RetriableException;
 import org.springframework.util.StringUtils;
 import org.springframework.web.bind.annotation.*;
 
@@ -171,7 +175,27 @@ public class KafkaController {
         KafkaProducer<String, String> producer = new KafkaProducer<>(kafkaUtil.getSafeProducerPro());
         // 发送消息
         ProducerRecord<String, String> record = new ProducerRecord<>(topic,requestBody.toJSONString());
-        producer.send(record);
+        producer.send(record, new Callback() {
+            @Override
+            public void onCompletion(RecordMetadata recordMetadata, Exception e) {
+                if (e == null) {
+                    log.info("kafka send successful");
+                } else {
+                    if (e instanceof RetriableException) {
+                        //处理可重试异常
+                        try {
+                            log.error("kafka send fail Retry sending.");
+                            Thread.sleep(3000);
+                            //MyProducer.getInstance().send();
+                        } catch (InterruptedException e1) {
+                            log.error("kafka error :", e1);
+                        }
+                    } else {
+                        throw new KafkaException("kafka server message error.");
+                    }
+                }
+            }
+        });
         log.info("-------------------");
         log.info(record.value());
         // 关闭 KafkaProducer