kafka 常用命令

启动kafka bin/kafka-server-start.sh config/server.properties &

停止kafka bin/kafka-server-stop.sh

查看kafka状态是否运行 jps

检查kafka （在集群3台服务器上分别执行）

bin/kafka-topics.sh --list --zookeeper 118.190.87.33:2181,118.190.139.83:2181,118.190.88.157:2181/kafka

 

查看已经创建的topic列表

bin./kafka-topics.sh --list --zookeeper

192.168.15.186:2181,192.168.15.187:2181,192.168.15.188:2181/kafka

 

创建topic

bin/kafka-topics.sh —create —zookeeper 10.27.17.67:2181,10.27.17.151:2181,10.27.16.204:2181/kafka —replication-factor 3 —partitions 6 —topic bizcar_creditlock_response

bin/kafka-topics.sh --create --zookeeper 172.31.103.224:2181,172.31.103.221:2181,172.31.103.222:2181/kafka --replication-factor 3 --partitions 12 --topic bizcar_position_report

 

 

1、查看是否收到故障码

bin/kafka-console-consumer.sh --zookeeper 10.27.17.67:2181,10.27.17.151:2181,10.27.16.204:2181/kafka  --topic bizcar_fault_report

bin/kafka-console-consumer.sh --zookeeper 172.31.103.224:2181,172.31.103.221:2181,172.31.103.222:2181/kafka  --topic sendOtherAlarm

bin/kafka-console-consumer.sh --zookeeper 172.31.103.224:2181,172.31.103.221:2181,172.31.103.222:2181/kafka  --topic bizcar_raw_report
2、查看多少未消费

 

./kafka-run-class.sh kafka.tools.ConsumerOffsetChecker --zookeeper 172.31.103.224:2181,172.31.103.221:2181,172.31.103.222:2181/kafka --group test_consumer

./kafka-run-class.sh kafka.tools.ConsumerOffsetChecker --zookeeper 172.31.103.224:2181,172.31.103.221:2181,172.31.103.222:2181/kafka --group=test_consumer

 

bin/kafka-run-class.sh kafka.tools.ConsumerOffsetChecker --zookeeper 172.31.103.224:2181,172.31.103.221:2181,172.31.103.222:2181/kafka --group test_consumer

3.消费消息

./kafka-console-consumer.sh --zookeeper 172.31.103.224:2181,172.31.103.221:2181,172.31.103.222:2181/kafka --from-beginning --topic orderCancel

查看 bizcar_position_report未消费的

bin/kafka-run-class.sh kafka.tools.ConsumerOffsetChecker --zookeeper 172.31.103.224:2181,172.31.103.221:2181,172.31.103.222:2181/kafka --group test_consumer --topic bizcar_position_report

4.真正有数据存在的分区是由生产发送端来决定，即使你的kafka设置了10个分区，消费端在消费的时候，消费线程虽然会根据zookeeper的某种机制来声明它所消费的分区，但实际消费过程中，还是会消费真正存在数据的分区。（本例中，你只往6个分区push了数据，所以即使你声明了10个分区，你也只能消费6个分区的数据）。
5.启动kafka

bin/kafka-server-start.sh config/server.properties

6.kafka若有未消费的数据

若消费组为none,,dse一直重启

5. 启动zookeeper

cd /app/zookeeper-3.4.10/bin

./zkServer.sh start

./zkServer.sh status  查看集群状态

 

 

2. dse重新锁车

tail -100f info.log|grep bizcar_gps_lock_response

 

tail -100f info.log|grep bizcar_position_report

 

3. 查看dse日志是否调用ws的

tail -100f info.log |grep "notify saas build All data"

cat info.log |grep bizcar_position_report

4，gw 语音播报

tail -10f kajiagw.log|grep this.ResponseMessageHexStr

tail -10f kajiagw.log|grep "this.ResponseMessageHexStr---8300"

 

5，故障码

spn，fmi