由于内存限制,我正在循环运行我的消费者代码,提交我的数据然后加载到表中
以下是循环运行的代码
// here is the main part of the component,
// a piece of code executed in the row
// loop
KafkaConsumer<String, String> consumer = new KafkaConsumer<>(props);
System.out.println("Consumer created");
consumer.subscribe(Arrays.asList(topic));
System.out.println("Subscribed to topic " + topic);
try {
while (pollFlag) {
ConsumerRecords<String, String> records = consumer.poll(context.consumer_polltime);
if (records.isEmpty()) {
globalMap.put("emptyRecordsFlag",false); //Passing the flag value to previous component to end loop
break;
}
for (ConsumerRecord<String, String> record : records) {
listPayload.add(record.value()); // Adding the messages to list
i++;
if(i>=msgbtch)
{
pollFlag = false; // Assigning flag value to end the poll at 5000 messages
break;
}
}
}
globalMap.put("ConsumerObj",consumer);
} catch (Exception e) {
System.out.println("Error Consuming Msg: " + e);
// TODO: handle exception
//consumer.close();
}
row3.payload= String.valueOf(listPayload); // Passing the message data to next component
System.out.println("Committing");
consumer.commitSync();
System.out.println("Closing");
consumer.close();
但由于某种原因,我似乎遗漏了几条消息。我相信这与消费者重新平衡/提交有关。
如何检查我的消费者是否准备好从一开始就消费下一批消息而不会丢失任何消息?
答案 0 :(得分:1)
更新: 我能够自己弄清楚这个问题。消息已经在记录中下载,并且在循环时,因为我已经设置了以下条件
if(i>=msgbtch)
{
pollFlag = false; // Assigning flag value to end the poll at 5000 messages
break;
}
即使在将所有消息放入列表之前,循环也会中断,并且记录中的所有消息都没有插入列表中。我已经删除了中断条件并且它工作正常