Strimzi Kafka Bridge(桥接)实战之二:生产和发送消息

欢迎访问我的GitHub

这里分类和汇总了欣宸的全部原创(含配套源码):https://github.com/zq2599/blog_demos

本篇概览

  • 本文是《Strimzi Kafka Bridge(桥接)实战之》系列的第二篇,咱们直奔bridge的重点:常用接口,用实际操作体验如何用bridge完成常用的消息收发业务

  • 官方的openapi接口文档地址 : https://strimzi.io/docs/bridge/in-development/#_openapi

  • 整篇文章由以下内容构成:

  1. 准备工作:创建topic
  2. 生产消息
  3. 消费消息,strimzi bridge消费消息的逻辑略有些特殊,就是要提前创建strimzi bridge consumer,再通过consumer来调用拉取消息的接口
  • 完成本篇实战后,相信您已经可以数量的通过http来使用kafka的服务了

准备工作:创建topic

  • 遗憾的是,bridge未提供创建topic的API,所以咱们还是用命令来创建吧
  • ssh登录kubernetes的宿主机
  • 执行创建名为bridge-quickstart-topic的topic,共四个分区
kubectl -n aabbcc  run kafka-producer  -ti  --image=quay.io/strimzi/kafka:0.32.0-kafka-3.3.1  --rm=true  --restart=Never  -- bin/kafka-topics.sh  --bootstrap-server my-cluster-kafka-bootstrap:9092  --create  --topic bridge-quickstart-topic  --partitions 4  --replication-factor 1 
  • 检查topic创建是否成功
kubectl -n aabbcc  run kafka-producer  -ti  --image=quay.io/strimzi/kafka:0.32.0-kafka-3.3.1  --rm=true  --restart=Never  -- bin/kafka-topics.sh  --bootstrap-server my-cluster-kafka-bootstrap:9092  --describe  --topic bridge-quickstart-topic 
  • 如下图,可见topic的创建符合预期
    Strimzi Kafka Bridge(桥接)实战之二:生产和发送消息
  • 接下来的操作都是向bridge发送http请求完成的,我这边宿主机的IP地址是192.168.0.1,bridge的NodePort端口号31331

查看指定topic的详情

  • 如下请求,可以取得topicbridge-quickstart-topic的详情
curl -X GET    http://192.168.0.1:31331/topics/bridge-quickstart-topic 
  • 收到响应如下,是这个topic的详细信息
{ 	"name": "bridge-quickstart-topic", 	"configs": { 		"compression.type": "producer", 		"leader.replication.throttled.replicas": "", 		"message.downconversion.enable": "true", 		"min.insync.replicas": "1", 		"segment.jitter.ms": "0", 		"cleanup.policy": "delete", 		"flush.ms": "9223372036854775807", 		"follower.replication.throttled.replicas": "", 		"segment.bytes": "1073741824", 		"retention.ms": "604800000", 		"flush.messages": "9223372036854775807", 		"message.format.version": "3.0-IV1", 		"max.compaction.lag.ms": "9223372036854775807", 		"file.delete.delay.ms": "60000", 		"max.message.bytes": "1048588", 		"min.compaction.lag.ms": "0", 		"message.timestamp.type": "CreateTime", 		"preallocate": "false", 		"min.cleanable.dirty.ratio": "0.5", 		"index.interval.bytes": "4096", 		"unclean.leader.election.enable": "false", 		"retention.bytes": "-1", 		"delete.retention.ms": "86400000", 		"segment.ms": "604800000", 		"message.timestamp.difference.max.ms": "9223372036854775807", 		"segment.index.bytes": "10485760" 	}, 	"partitions": [ 		{ 			"partition": 0, 			"leader": 0, 			"replicas": [ 				{ 					"broker": 0, 					"leader": true, 					"in_sync": true 				} 			] 		}, 		{ 			"partition": 1, 			"leader": 0, 			"replicas": [ 				{ 					"broker": 0, 					"leader": true, 					"in_sync": true 				} 			] 		}, 		{ 			"partition": 2, 			"leader": 0, 			"replicas": [ 				{ 					"broker": 0, 					"leader": true, 					"in_sync": true 				} 			] 		}, 		{ 			"partition": 3, 			"leader": 0, 			"replicas": [ 				{ 					"broker": 0, 					"leader": true, 					"in_sync": true 				} 			] 		} 	] } 

批量生产消息(同步)

  • 试试bridge提供的批量生产消息的API,以下命令会生产了三条消息,第一条通过key的hash值确定分区,第二条用partition参数明确指定了分区是2,第三条的分区是按照轮询策略更新的
curl -X POST    http://42.193.162.141:31331/topics/bridge-quickstart-topic    -H 'content-type: application/vnd.kafka.json.v2+json'    -d '{     "records": [         {             "key": "my-key",             "value": "sales-lead-0001"         },         {             "value": "sales-lead-0002",             "partition": 2         },         {             "value": "sales-lead-0003"         }     ] }' 
  • bridge响应如下,会返回每一条消息的partition和offset,这就是同步消息的特点,等到meta信息更新完毕后才会返回
{ 	"offsets": [{ 		"partition": 0, 		"offset": 0 	}, { 		"partition": 2, 		"offset": 0 	}, { 		"partition": 3, 		"offset": 0 	}] } 

批量生产消息(异步)

  • 有的场景下,例如追求高QPS并且对返回的meta信息不关注,可以考虑异步的方式发送消息,也就是说bridge收到响应后立即返回200,这种异步模式和前面的同步模式只有一个参数的差别:在请求url中增加async=true即可
curl -X POST    http://42.193.162.141:31331/topics/bridge-quickstart-topic?async=true    -H 'content-type: application/vnd.kafka.json.v2+json'    -d '{     "records": [         {             "key": "my-key",             "value": "sales-lead-0001"         },         {             "value": "sales-lead-0002",             "partition": 2         },         {             "value": "sales-lead-0003"         }     ] }' 
  • 没有响应body,请您自行请求感受一下,响应明显比同步模式快

查看partition

  • 查看tipic的parition情况
curl -X GET    http://42.193.162.141:31331/topics/bridge-quickstart-topic/partitions 
  • 响应
[{ 	"partition": 0, 	"leader": 0, 	"replicas": [{ 		"broker": 0, 		"leader": true, 		"in_sync": true 	}] }, { 	"partition": 1, 	"leader": 0, 	"replicas": [{ 		"broker": 0, 		"leader": true, 		"in_sync": true 	}] }, { 	"partition": 2, 	"leader": 0, 	"replicas": [{ 		"broker": 0, 		"leader": true, 		"in_sync": true 	}] }, { 	"partition": 3, 	"leader": 0, 	"replicas": [{ 		"broker": 0, 		"leader": true, 		"in_sync": true 	}] }] 
  • 查看指定partition
curl -X GET    http://42.193.162.141:31331/topics/bridge-quickstart-topic/partitions/0 
  • 响应
{ 	"partition": 0, 	"leader": 0, 	"replicas": [{ 		"broker": 0, 		"leader": true, 		"in_sync": true 	}] } 
  • 查看指定partition的offset情况
curl -X GET    http://42.193.162.141:31331/topics/bridge-quickstart-topic/partitions/0/offsets 
  • 响应
{ 	"beginning_offset": 0, 	"end_offset": 5 } 

创建bridge consumer

  • 通过bridge消费消息,有个特别且重要的前提:创建bridge consumer,只有先创建了bridge consumer,才能顺利从kafka的broker取到消息
  • 以下命令创建了一个bridge consumer,各参数的含义稍后会说明
curl -X POST http://42.193.162.141:31331/consumers/bridge-quickstart-consumer-group    -H 'content-type: application/vnd.kafka.v2+json'    -d '{     "name": "bridge-quickstart-consumer",     "auto.offset.reset": "earliest",     "format": "json",     "enable.auto.commit": false,     "fetch.min.bytes": 16,     "consumer.request.timeout.ms": 300000   }' 
  • 上述请求的参数解释:
  1. 对应kafka的group为bridge-quickstart-consumer-group
  2. 此bridge consumer的name等于bridge-quickstart-consumer
  3. 参数enable.auto.commit表示是否自动提交offset,这里设置成false,表示无需自动提交,后面的操作中会调用API请求来更新offset
  4. 参数fetch.min.bytes要特别注意,其值等于16,表示唯有消息内容攒够了16字节,拉取消息的请求才能获取到消息,如果消息内容长度不到16字节,收到的响应body就是空
  5. 参数consumer.request.timeout.ms也要注意,这里我设置了300秒,如果超过300秒没有去拉取消息,这个消费者就会被kafka移除(被移除后如果再去拉取消息,kafka会报错:Offset commit cannot be completed since the consumer is not part of an active group for auto partition assignment; it is likely that the consumer was kicked out of the grou)
  • 收到响应如下,instance_id表示这个bridge consumer的身份id,base_uri则是订阅消息时必须使用的请求地址
{ 	"instance_id": "bridge-quickstart-consumer", 	"base_uri": "http://42.193.162.141:31331/consumers/bridge-quickstart-consumer-group/instances/bridge-quickstart-consumer" } 

如何删除bridge consumer

  • 以下命令可以删除consumer,重点是将身份id放入path中
curl -X DELETE http://42.193.162.141:31331/consumers/bridge-quickstart-consumer-group/instances/bridge-quickstart-consumer 

订阅指定topic的消息

  • 创建bridge consumer成功后,接下来就能以这个consumer的身份去订阅kafka消息了
  • 执行以下命令可以订阅topic为bridge-quickstart-topic的kafka消息,注意请求地址就是前面创建bridge consumer时返回的base_uri字段
curl -X POST http://42.193.162.141:31331/consumers/bridge-quickstart-consumer-group/instances/bridge-quickstart-consumer/subscription    -H 'content-type: application/vnd.kafka.v2+json'    -d '{     "topics": [         "bridge-quickstart-topic"     ] }' 
  • 从上述请求body可以看出,此请求可以一次订阅多个topic,而且还可以使用topic_pattern(正则表达式)的形式来一次订阅多个topic
  • 订阅完成后,接下来就能主动拉取消息了

拉取消息

  • 在拉取消息之前,请确保已经提前生产了消息
  • 执行以下命令拉取一条消息
curl -X GET http://42.193.162.141:31331/consumers/bridge-quickstart-consumer-group/instances/bridge-quickstart-consumer/records    -H 'accept: application/vnd.kafka.json.v2+json' 
  • 然而,当您执行了上述命令后,会发现返回body为空,别担心,这是正常的现象,按照官方的说法,拉取到的第一条消息就是空的,这是因为拉取操作出触发了rebalancing逻辑(rebalancing是kafka的概览,是处理多个partition消费的操作),再次执行上述命令去拉取消息,这下正常了,body如下
[ 	{ 		"topic": "bridge-quickstart-topic", 		"key": "my-key", 		"value": "sales-lead-0001", 		"partition": 0, 		"offset": 0 	}, { 		"topic": "bridge-quickstart-topic", 		"key": "my-key", 		"value": "sales-lead-0001", 		"partition": 0, 		"offset": 1 	} ] 

提交offset

  • 前面在创建bridge consumer的时候,参数enable.auto.commit的值等于fasle,表示由调用方主动提交offset到kafka,因此在拉取到消息之后,需要手动更新kafka consumer的offset
curl -X POST http://42.193.162.141:31331/consumers/bridge-quickstart-consumer-group/instances/bridge-quickstart-consumer/offsets 
  • 该请求无返回body,只要返回码是204就表示成功

设定offset

  • 试想这样的场景:共生产了100条消息,消费者也已经将这100条全部消费完毕,现在由于某种原因,需要从91条开始,重新消费91-100这10条消息(例如需要重新计算),此时可以主动设定offset
  • 先执行以下命令,生产一条消息
curl -X POST    http://42.193.162.141:31331/topics/bridge-quickstart-topic    -H 'content-type: application/vnd.kafka.json.v2+json'    -d '{     "records": [         {             "value": "sales-lead-a002-01234567890123456789",             "partition": 2         }     ] }' 
  • 如下图红色箭头,可见当前partition已经生产了75条消息了
    Strimzi Kafka Bridge(桥接)实战之二:生产和发送消息
  • 咱们先拉取消息,将消息都消费掉
    Strimzi Kafka Bridge(桥接)实战之二:生产和发送消息
  • 由于没有新生产消息,此时再拉去应该拉取不到了
  • 现在执行以下请求,就可以将offset设置到74
curl -X POST http://42.193.162.141:31331/consumers/bridge-quickstart-consumer-group/instances/bridge-quickstart-consumer/positions    -H 'content-type: application/vnd.kafka.v2+json'    -d '{     "offsets": [         {             "topic": "bridge-quickstart-topic",             "partition": 2,             "offset": 74         }     ] }' 
  • 再次拉取消息,发现74和之后的所有消息都可以拉去到了(注意,包含了74)
    Strimzi Kafka Bridge(桥接)实战之二:生产和发送消息
  • 至此,咱们对生产和发送消息的常用接口都已经操作了一遍,对于常规的业务场景已经够用,接下来的文章,咱们以此为基础,玩出更多花样来

欢迎关注博客园:程序员欣宸

学习路上,你不孤单,欣宸原创一路相伴...

发表评论

评论已关闭。

相关文章