1、Kafka的Consumer手动提交offset
/**
* 手动提交offset
*/
private
static void commitedOffset() {
Properties
props = new Properties();
props.setProperty("bootstrap.servers", "localhost:9092");
props.setProperty("group.id", "test");
props.setProperty("enable.auto.commit", "false");
props.setProperty("auto.commit.interval.ms", "1000");
props.setProperty("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
props.setProperty("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
KafkaConsumer<String, String> consumer = new KafkaConsumer(props);
// 消费订阅哪一个Topic或者几个Topic
consumer.subscribe(Arrays.asList(TOPIC_NAME));
while (true) {
ConsumerRecords<String, String> records =
consumer.poll(Duration.ofMillis(10000));
for (ConsumerRecord<String, String> record :
records) {
// 想把数据保存到数据库,成功就成功,不成功...
// TODO record 2 db
System.out.printf("patition = %d , offset = %d, key = %s,
value = %s%n",
record.partition(), record.offset(), record.key(), record.value());
// 如果失败,则回滚, 不要提交offset
}
// 如果成功,手动通知offset提交
consumer.commitAsync();
}
}
2、Kafka的Consumer手动提交offset,并且手动控制partition
/**
* 手动提交offset,并且手动控制partition
*/
private
static void commitedOffsetWithPartition() {
Properties
props = new Properties();
props.setProperty("bootstrap.servers", "localhost:9092");
props.setProperty("group.id", "test");
props.setProperty("enable.auto.commit", "false");
props.setProperty("auto.commit.interval.ms", "1000");
props.setProperty("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
props.setProperty("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
KafkaConsumer<String, String> consumer = new KafkaConsumer(props);
// 消费订阅哪一个Topic或者几个Topic
consumer.subscribe(Arrays.asList(TOPIC_NAME));
while (true) {
ConsumerRecords<String, String> records =
consumer.poll(Duration.ofMillis(10000));
// 每个partition单独处理
for (TopicPartition
partition : records.partitions()) {
List<ConsumerRecord<String, String>> pRecord =
records.records(partition);
for (ConsumerRecord<String, String> record :
pRecord) {
System.out.printf("patition = %d , offset = %d, key = %s,
value = %s%n",
record.partition(), record.offset(), record.key(), record.value());
}
long lastOffset =
pRecord.get(pRecord.size() - 1).offset();
// 单个partition中的offset,并且进行提交
Map<TopicPartition, OffsetAndMetadata> offset = new HashMap<>();
offset.put(partition, new OffsetAndMetadata(lastOffset + 1));
// 提交offset
consumer.commitSync(offset);
System.out.println("=============partition - " + partition + "
end================");
}
}
}
3、Kafka的Consumer手动指定offset的起始位置,及手动提交offset
/**
* 手动指定offset的起始位置,及手动提交offset
*/
private
static void controlOffset() {
Properties
props = new Properties();
props.setProperty("bootstrap.servers", "localhost:9092");
props.setProperty("group.id", "test");
props.setProperty("enable.auto.commit", "false");
props.setProperty("auto.commit.interval.ms", "1000");
props.setProperty("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
props.setProperty("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
KafkaConsumer<String, String> consumer = new KafkaConsumer(props);
// test- 0,1两个partition
TopicPartition
p0 = new TopicPartition(TOPIC_NAME, 0);
// 消费订阅某个Topic的某个分区
consumer.assign(Arrays.asList(p0));
while (true) {
// 手动指定offset起始位置
/*
1、人为控制offset起始位置
2、如果出现程序错误,重复消费一次
*/
/*
1、第一次从0消费【一般情况】
2、比如一次消费了100条, offset置为101并且存入Redis
3、每次poll之前,从redis中获取最新的offset位置
4、每次从这个位置开始消费
*/
consumer.seek(p0, 700);
ConsumerRecords<String, String> records =
consumer.poll(Duration.ofMillis(10000));
// 每个partition单独处理
for (TopicPartition
partition : records.partitions()) {
List<ConsumerRecord<String, String>> pRecord =
records.records(partition);
for (ConsumerRecord<String, String> record :
pRecord) {
System.err.printf("patition = %d , offset = %d, key = %s,
value = %s%n",
record.partition(), record.offset(), record.key(), record.value());
}
long lastOffset =
pRecord.get(pRecord.size() - 1).offset();
// 单个partition中的offset,并且进行提交
Map<TopicPartition, OffsetAndMetadata> offset = new HashMap<>();
offset.put(partition, new OffsetAndMetadata(lastOffset + 1));
// 提交offset
consumer.commitSync(offset);
System.out.println("=============partition - " + partition + "
end================");
}
}
}
kafka
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