Kafka的使用和错误解决
Kafka的使用和错误解决
一、下载kafka解压缩:配置环境变量
vim /etc/profileexport KAFKA_HOME=/root/kafka_2.11-1.0.0export PATH=$PATH:$KAFKA_HOME/binsource /etc/profile
二 、kafka中需要使用zookeeper
(一)使用kafka自带的zookeeper
先将zookeeper启动,如果在伪分布式下,kafka已经集成了zk,在kafka中的config目录下。
可以编辑config/zookeeper.properties修改zookeeper的端口号。
后台启动zookeeper:
[root@mail bin]# nohup zookeeper-server-start.sh ../config/zookeeper.properties &
- 启动broker
`[root@mail bin]# nohup kafka-server-start.sh ../config/server.properties &`
3.测试:模拟消息的消费和生产
(1)创建主题
[root@mail bin]# kafka-topics.sh --create --zookeeper localhost:2281 --topic KafkaTestTopic --partitions 1 --replication-factor 1Created topic "KafkaTestTopic".
(2)创建生产者
[root@mail bin]# kafka-console-producer.sh --topic KafkaTestTopic --broker-list localhost:9092
查看server.properties中的#listeners=PLAINTEXT://:9092,获取kafka的端口
(3)创建消费者
[root@mail bin]# kafka-console-consumer.sh --topic KafkaTestTopic --zookeeper localhost:2281
(二)使用非kafka自带的zookeeper
使用zookeeper(非kafka自带)[root@mail zookeeper-3.4.10]# bin/zkServer.sh start conf/zoo.cfg ZooKeeper JMX enabled by defaultUsing config: conf/zoo.cfgStarting zookeeper ... STARTED(1) 创建主题[root@mail kafka_2.11-1.0.0]# bin/kafka-topics.sh --create --zookeeper localhost:2181 --topic secondTopic --partitions 1 --replication-factor 1Created topic "secondTopic".(2)kafka启动[root@mail kafka_2.11-1.0.0]# nohup bin/kafka-server-start.sh config/server.properties &(3)kafka生产者[root@mail kafka_2.11-1.0.0]# kafka-console-producer.sh --topic KafkaTestTopic --broker-list localhost:9092(4)kafka消费者[root@mail kafka_2.11-1.0.0]# bin/kafka-console-consumer.sh --topic KafkaTestTopic --zookeeper localhost:2181Using the ConsoleConsumer with old consumer is deprecated and will be removed in a future major release. Consider using the new consumer by passing [bootstrap-server] instead of [zookeeper].(5)查看kafka中的数据[root@mail kafka_2.11-1.0.0]# lsbin config libs LICENSE logs logs-kafka nohup.out NOTICE site-docs[root@mail kafka_2.11-1.0.0]# cd logs-kafka/ #kafka中的数据存储目录##这个目录是在kafka的config/server.properties文件中进行配置的log.dirs=/root/kafka/kafka_2.11-1.0.0/logs-kafka[root@mail logs-kafka]# ls #查看kafka中的主题cleaner-offset-checkpoint __consumer_offsets-20 __consumer_offsets-33 __consumer_offsets-46 kafka_test-0__consumer_offsets-0 __consumer_offsets-21 __consumer_offsets-34 __consumer_offsets-47 KafkaTestTopic-0__consumer_offsets-1 __consumer_offsets-22 __consumer_offsets-35 __consumer_offsets-48 log-start-offset-checkpoint__consumer_offsets-10 __consumer_offsets-23 __consumer_offsets-36 __consumer_offsets-49 meta.properties__consumer_offsets-11 __consumer_offsets-24 __consumer_offsets-37 __consumer_offsets-5 My_LOVE_TOPIC-0__consumer_offsets-12 __consumer_offsets-25 __consumer_offsets-38 __consumer_offsets-6 mytopic-0__consumer_offsets-13 __consumer_offsets-26 __consumer_offsets-39 __consumer_offsets-7 recovery-point-offset-checkpoint__consumer_offsets-14 __consumer_offsets-27 __consumer_offsets-4 __consumer_offsets-8 replication-offset-checkpoint__consumer_offsets-15 __consumer_offsets-28 __consumer_offsets-40 __consumer_offsets-9 stock-quotation-0__consumer_offsets-16 __consumer_offsets-29 __consumer_offsets-41 hello-0 stock-quotation-avro-0__consumer_offsets-17 __consumer_offsets-3 __consumer_offsets-42 hello-1 stock-quotation-partition-0__consumer_offsets-18 __consumer_offsets-30 __consumer_offsets-43 hello-2 TEST-TOPIC-0__consumer_offsets-19 __consumer_offsets-31 __consumer_offsets-44 hello-3__consumer_offsets-2 __consumer_offsets-32 __consumer_offsets-45 hello-4[root@mail logs-kafka]# cd KafkaTestTopic-0/ #查看kakfa的主题为KafkaTestTopic的0号分区[root@mail KafkaTestTopic-0]# ls00000000000000000000.index 00000000000000000000.timeindex leader-epoch-checkpoint00000000000000000000.log 00000000000000000063.snapshot[root@mail KafkaTestTopic-0]# tail -f 000000000000000000.log #kafka中的数据存储文件(6)修改kafka的分区数,观察kafka的变化## 修改kafka分区数[root@mail kafka_2.11-1.0.0]# bin/kafka-topics.sh --zookeeper localhost:2181 --alter --topic KafkaTestTopic --partitions 3WARNING: If partitions are increased for a topic that has a key, the partition logic or ordering of the messages will be affectedAdding partitions succeeded![root@mail kafka_2.11-1.0.0]# lsbin config libs LICENSE logs logs-kafka nohup.out NOTICE site-docs[root@mail kafka_2.11-1.0.0]# cd logs-kafka/#发现出现kakfa的主题为KafkaTestTopic的0号分区,1号分区,2号分区,总共3个分区[root@mail logs-kafka]# lscleaner-offset-checkpoint __consumer_offsets-20 __consumer_offsets-33 __consumer_offsets-46 kafka_test-0__consumer_offsets-0 __consumer_offsets-21 __consumer_offsets-34 __consumer_offsets-47 KafkaTestTopic-0__consumer_offsets-1 __consumer_offsets-22 __consumer_offsets-35 __consumer_offsets-48 KafkaTestTopic-1__consumer_offsets-10 __consumer_offsets-23 __consumer_offsets-36 __consumer_offsets-49 KafkaTestTopic-2__consumer_offsets-11 __consumer_offsets-24 __consumer_offsets-37 __consumer_offsets-5 log-start-offset-checkpoint__consumer_offsets-12 __consumer_offsets-25 __consumer_offsets-38 __consumer_offsets-6 meta.properties__consumer_offsets-13 __consumer_offsets-26 __consumer_offsets-39 __consumer_offsets-7 My_LOVE_TOPIC-0__consumer_offsets-14 __consumer_offsets-27 __consumer_offsets-4 __consumer_offsets-8 mytopic-0__consumer_offsets-15 __consumer_offsets-28 __consumer_offsets-40 __consumer_offsets-9 recovery-point-offset-checkpoint__consumer_offsets-16 __consumer_offsets-29 __consumer_offsets-41 hello-0 replication-offset-checkpoint__consumer_offsets-17 __consumer_offsets-3 __consumer_offsets-42 hello-1 stock-quotation-0__consumer_offsets-18 __consumer_offsets-30 __consumer_offsets-43 hello-2 stock-quotation-avro-0__consumer_offsets-19 __consumer_offsets-31 __consumer_offsets-44 hello-3 stock-quotation-partition-0__consumer_offsets-2 __consumer_offsets-32 __consumer_offsets-45 hello-4 TEST-TOPIC-0[root@mail KafkaTestTopic-1]# ls #查看kakfa的主题为KafkaTestTopic的1号分区00000000000000000000.index 00000000000000000000.log 00000000000000000000.timeindex leader-epoch-checkpoint[root@mail KafkaTestTopic-1]# tail -f 00000000000000000000.log
三、可能出现的错误:
(1)
[root@mail bin]# kafka-topics.sh --create --zookeeper localhost:2281 --topic KafkaTestTopic --partitions 1 --replication-factor 1
Error while executing topic command : Replication factor: 1 larger than available brokers: 0.
[2018-11-20 16:44:16,269] ERROR org.apache.kafka.common.errors.InvalidReplicationFactorException: Replication factor: 1 larger than available brokers: 0.
(kafka.admin.TopicCommand$)
解决:修改server.properties中的:zookeeper.connect=localhost:2281,让2281端口号和zookeeper.properties中的zookeeper端口号一致,然后重启kafka。**
(2)
kafka.common.KafkaException: fetching topic metadata for topics [Set(KafkaTestTopic)] from broker [ArrayBuffer(BrokerEndPoint(0,123.125.50.7,9092))] failed
at kafka.client.ClientUtils$.fetchTopicMetadata(ClientUtils.scala:77)
at kafka.client.ClientUtils$.fetchTopicMetadata(ClientUtils.scala:98)
at kafka.consumer.ConsumerFetcherManager$LeaderFinderThread.doWork(ConsumerFetcherManager.scala:67)
(3)
[2018-11-20 17:28:53,411] WARN [Producer clientId=console-producer] Error while fetching metadata with correlation id 52 : {KafkaTestTopic=LEADER_NOT_AVAILABLE} (org.apache.kafka.clients.NetworkClient)
[2018-11-20 17:28:53,513] WARN [Producer clientId=console-producer] Error while fetching metadata with correlation id 53 : {KafkaTestTopic=LEADER_NOT_AVAILABLE} (org.apache.kafka.clients.NetworkClient)
[2018-11-20 17:28:53,617] WARN [Producer clientId=console-producer] Error while fetching metadata with correlation id 54 : {KafkaTestTopic=LEADER_NOT_AVAILABLE} (org.apache.kafka.clients.NetworkClient)
[2018-11-20 17:28:53,721] WARN [Producer clientId=console-producer] Error while fetching metadata with correlation id 55 : {KafkaTestTopic=LEADER_NOT_AVAILABLE} (org.apache.kafka.clients.NetworkClient)
解决(2)和(3)的错误:
修改server.properties中的
I、listeners=PLAINTEXT://localhost:9092
II、 advertised.listeners=PLAINTEXT://localhost:9092
(4) [2018-11-29 09:44:35,275] WARN [Producer clientId=console-producer] Connection to node -1 could not be established. Broker may not be available. (org.apache.kafka.clients.NetworkClient)
解决:可能的原因:kafka未启动,重启启动kafka。
kafka中查看zookeeper状态:
bin/zookeeper-shell.sh localhost:2181 <<< "get /brokers/ids/0"
(5)Failed to find leader for Set(KafkaTestTopic-0) (kafka.consumer.ConsumerFetcherManager$LeaderFinderThread)
解决:修改kafka配置文件
[root@mail config]# vim server.properties
修改:advertised.host.name=正确的IP地址
四、Kafka相关操作
(1)查看有哪些主题[root@mail ~]# kafka-topics.sh --describe --zookeeper localhost:2281Topic:KafkaTestTopic PartitionCount:1 ReplicationFactor:1 Configs: Topic: KafkaTestTopic Partition: 0 Leader: 0 Replicas: 0 Isr: 0在kafka中每个分区都有一个编号,从0开始;在kafka中如果有多个副本的话,就会存在leader与follower的关系;Leader表示领导,Leader:0表示当前这个副本为leader所在的broker是哪一个。(2)只看主题名称[root@mail kafka_2.11-1.0.0]# kafka-topics.sh --list --zookeeper localhost:2281KafkaTestTopic(3)查看指定主题的信息[root@mail kafka_2.11-1.0.0]# kafka-topics.sh --describe --zookeeper localhost:2281 --topic KafkaTestTopic(4)查看指定的topic是否存在[root@mail kafka_2.11-1.0.0]# kafka-topics.sh --list --zookeeper localhost:2281 --topic KafkaTestTopic或[root@mail kafka_2.11-1.0.0]# kafka-topics.sh --list --zookeeper localhost:2281 | grep KafkaTestTopic(5) 修改主题的分区数[root@mail kafka_2.11-1.0.0]# kafka-topics.sh --zookeeper localhost:2281 --alter --topic KafkaTestTopic --partitions 3WARNING: If partitions are increased for a topic that has a key, the partition logic or ordering of the messages will be affectedAdding partitions succeeded![root@mail kafka_2.11-1.0.0]# kafka-topics.sh --describe --zookeeper localhost:2281 --topic KafkaTestTopicTopic:KafkaTestTopic PartitionCount:3 ReplicationFactor:1 Configs: Topic: KafkaTestTopic Partition: 0 Leader: 0 Replicas: 0 Isr: 0 Topic: KafkaTestTopic Partition: 1 Leader: 0 Replicas: 0 Isr: 0 Topic: KafkaTestTopic Partition: 2 Leader: 0 Replicas: 0 Isr: 0(6)修改配置项[root@mail kafka_2.11-1.0.0]# kafka-topics.sh --zookeeper localhost:2281 --alter --topic KafkaTestTopic --config flush.messages=1WARNING: Altering topic configuration from this script has been deprecated and may be removed in future releases. Going forward, please use kafka-configs.sh for this functionalityUpdated config for topic "KafkaTestTopic".[root@mail kafka_2.11-1.0.0]# kafka-topics.sh --describe --zookeeper localhost:2281 --topic KafkaTestTopicTopic:KafkaTestTopic PartitionCount:3 ReplicationFactor:1 Configs:flush.messages=1 Topic: KafkaTestTopic Partition: 0 Leader: 0 Replicas: 0 Isr: 0 Topic: KafkaTestTopic Partition: 1 Leader: 0 Replicas: 0 Isr: 0 Topic: KafkaTestTopic Partition: 2 Leader: 0 Replicas: 0 Isr: 0(7)删除配置项[root@mail kafka_2.11-1.0.0]# kafka-topics.sh --zookeeper localhost:2281 --alter --topic KafkaTestTopic --delete-config flush.messagesWARNING: Altering topic configuration from this script has been deprecated and may be removed in future releases. Going forward, please use kafka-configs.sh for this functionalityUpdated config for topic "KafkaTestTopic".[root@mail kafka_2.11-1.0.0]# kafka-topics.sh --describe --zookeeper localhost:2281 --topic KafkaTestTopicTopic:KafkaTestTopic PartitionCount:3 ReplicationFactor:1 Configs: Topic: KafkaTestTopic Partition: 0 Leader: 0 Replicas: 0 Isr: 0 Topic: KafkaTestTopic Partition: 1 Leader: 0 Replicas: 0 Isr: 0 Topic: KafkaTestTopic Partition: 2 Leader: 0 Replicas: 0 Isr: 0(8)删除主题[root@mail kafka_2.11-1.0.0]# kafka-topics.sh --zookeeper localhost:2281 --delete --topic KafkaTestTopic注意:删除只是标记删除;当服务器重启就会删除已标记的topic,这个和kafka的版本有关。
五、Java中Kakfa配置(1).Java中使用kafka的Producer端配置 Properties props=new Properties(); // Kafka服务端的主机名和端口号,多个的话,使用逗号分隔 props.put("bootstrap.servers","ip:9092"); // 等待所有副本节点的应答 props.put("acks", "all"); // 消息发送最大尝试次数 props.put("retries",0); // 一批消息处理大小 props.put("batch.size","16384"); // 请求延时 props.put("linger.ms",1); // 发送缓存区内存大小 props.put("buffer.memory", 33554430); // key序列化 props.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer"); // value序列化 props.put("value.serializer","org.apache.kafka.common.serialization.StringSerializer");(2).Java中使用kafka的Consumer端配置 Properties props=new Properties(); // 定义kakfa 服务的地址,不需要将所有broker指定上 props.put("bootstrap.servers","ip:9092"); // 制定consumer group props.put("group.id","test1"); // 是否自动确认offset props.put("enable.auto.commit", "true"); // 自动确认offset的时间间隔 props.put("auto.commit.interval.ms", "1000"); // key的序列化类 props.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer"); // value的序列化类 props.put("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");