代码编译
gradle
gradle releaseTarGzAll
安装包在./core/build/distributions/
安装
安装zookeeper，然后修改"config/server.properties"设置zookeeper
zookeeper.connect=localhost:2181
在"bin/kafka-run-class.sh"中修改日志路径（否则日志将写到安装路径的"logs"目录）
LOG_DIR="/data/hadoop/kafka/log4j/logs"
快速指南
# 启动
kafka-server-start –daemon config/server.properties &
# 停止
kafka-server-stop config/server.properties
# 新建主题
kafka-topics --create --zookeeper 192.168.11.82:2181 --replication-factor 2 --partitions 18 --topic test
# 显示主题
kafka-topics --list --zookeeper 192.168.11.82:2181
# 查看主题
kafka-topics --describe --zookeeper 192.168.11.82:2181 --topic test
# 修改数据保存时间
kafka-configs --zookeeper 192.168.11.82:2181 --alter --entity-type topics --entity-name test --add-config retention.ms=86400000
# 发送消息
kafka-console-producer --broker-list 192.168.11.82:9092 --topic test
# 接收消息
kafka-console-consumer --bootstrap-server 192.168.11.81:9092,192.168.11.82:9092 --topic test --from-beginning
kafka-avro-console-consumer --bootstrap-server localhost:9092 --property schema.registry.url=http://localhost:8091 --topic test --from-beginning
# 删除消息(修改过期时间)
kafka-topics --zookeeper localhost:2181 --alter --topic connect-test --config retention.ms=1000
# 删除消息(各分区到指定offset数据, -1为所有)
kafka-delete-records --bootstrap-server localhost:9092 --offset-json-file ./delete.json
# delete.json格式如下
{"partitions": [{"topic": “test", "partition": 0, "offset": -1}, ...], "version":1 }
# 修改replication-factor
kafka-topics --zookeeper 192.168.11.82:2181 --alter --topic dsp39 --config replication-factor=2
# 修改partitions
kafka-reassign-partitions.sh --zookeeper 192.168.11.82:2181 --reassignment-json-file rep.json --execute
# rep.json格式如下
{"partitions": [{"topic": “dsp39", "partition": 0, "replicas":[0,1]}, ...], "version":1 }
# consumer group
kafka-consumer-groups --bootstrap-server 192.168.11.82:9092 --list
kafka-consumer-groups --bootstrap-server 192.168.11.82:9092 --group groupid --describe
kafka-consumer-groups --bootstrap-server 192.168.11.82:9092 --group groupid --delete
# 重置offset(不实际修改offset)
kafka-consumer-groups --bootstrap-server 192.168.11.82:9092 --group csv-group --topic dsps --reset-offsets --to-earliest
# 重置offset(修改offset)
kafka-consumer-groups --bootstrap-server 192.168.11.82:9092 --group csv-group --topic dsps --reset-offsets --to-earliest --execute
kafka-run-class kafka.admin.ConsumerGroupCommand --group onlineKafka --zookeeper node3:2181 --describe
# 启动schema-registry,需要confluent
schema-registry-start ./etc/schema-registry/schema-registry.properties
# Start Connect in distributed mode. Run this command in its own terminal.
$ connect-distributed ./etc/schema-registry/connect-avro-distributed.properties
# start ksql
$ ksql-server-start ./etc/ksql/ksql-server.properties
kafka和spark整合
cd $SPARK_HOME
bin/run-example org.apache.spark.examples.streaming.KafkaWordCountProducer localhost:9092 test 3 5
bin/run-example org.apache.spark.examples.streaming.KafkaWordCount localhost:2181 test-consumer-group test 1
bin/run-example org.apache.spark.examples.streaming.DirectKafkaWordCount localhost:9092 test
idea开发环境设置
kafka, spark streaming相关例子，只需启动kafka，然后在运行环境里做如下设置
VM options: -Dspark.master=local[2]
Environment variables: MASTER=localh[2]
scala2.10使用jkd7，gradle需做以下设置兼容jdk7
sourceCompatibility = "1.7"
targetCompatibility = "1.7"
删除主题内容
设置server.properties
用以下命令删除内容
kafka-topics --zookeeper localhost:2181 --delete --topic test
# 从zookeeper删除
zookeeper-shell # and delete the topics using
rmr /brokers/topics/<<topic>> and rmr /admin/delete_topics/<<topic>>
新版本"kafka-console-consumer"不能用"--bootstrap-server"
需要删除zookeeper上老版本的"/brokers"目录，然后让新版本重建目录
-
Delete all topics and stop kafka brokers
-
Connect to zookeeper cluster and remove "/brokers" z node
-
Restart kafka brokers
复制错误处理
报"Number of alive brokers '1' does not meet the required replication factor"，需要设置"server.properties"
offsets.topic.replication.factor=1
跨集群复制
低版本集群数据复制到高版本集群，低版本应用能读写高版本集群，反之不行
消费低版本集群的配置"consumer.properties"
zookeeper.connect=node3:2181,node6:2181,node7:2181
group.id=onlineKafka
auto.offset.reset=smallest
partition.assignment.strategy=roundrobin
往高版本集群产生数据的配置"producer.properties"
bootstrap.servers=192.168.11.81:9092,192.168.11.82:9092,192.168.11.83:9092
复制主题内容的命令
$KAFKA_HOME/bin/kafka-mirror-maker.sh --consumer.config consumer.properties --producer.config producer.properties --num.streams=2 --whitelist "test"
kafka升级
kafka upgrade from 1.0.0 to 1.1.0
- add follow content to config/server.properties
# for upgrade
inter.broker.protocol.version=1.0
message.format.version=1.0
-
stop broker from 1 to n and upgrade
-
Once the entire cluster is upgraded, bump the protocol version by editing inter.broker.protocol.version and setting it to 1.1.
-
restart the brokers one by one for the new protocol version to take effect.
-
Once the entire client is upgraded, bump the protocol version by editing message.format.version and setting it to 1.1.
-
restart the brokers one by one.
参考