新产品的体系架构包含多个模块，模块集特点是数量多、模块间交互复杂。那么统一接口是一个很好的解决方案，为了实现统一接口打算采用微服务的核心思想，设计了采用restful service的数据交互方式技术架构。这里记录一下kafka资源访问的服务化搭建，后续记录api和实战。
restful api的出现在很大程度上降低了模块/系统数据交互的难度（开发和使用），特别是对前后端数据访问上。于是基于此，找到了confluent。confluent是kafka的创始团队离开Linkin后研发出来的产品，所以是一个很强大的产品级工具平台。confluent开源版本中包含了kafka rest proxy，具体如下：
下载confluent:
https://www.confluent.io/download/
备注：下载包过程中需要填写email信息，尽管填就行。
zk集群、kafka集群启动，这里就不介绍，具体请参考kafka集群搭建
由于confluent中包含了zk和kafka，这里就不用去处理。直接配置kafka rest proxy, 配置文件位置：
/Users/xnchall/Software/confluent/confluent-4.1.2/etc/kafka-rest/kafka-rest.properties
配置如下：
id=kafka-rest-test-server
schema.registry.url=http://192.168.X.100:8081
zookeeper.connect=192.168.X.100:2181,192.168.X.100:2182
bootstrap.servers=PLAINTEXT://192.168.X.100:9092
schema.registry.url这个参数是为数据序列化avor服务的，建议配置上，说不定将来就用上了呢。其余两个分别是zookeeper和kafka集群配置。
配置schema-registry:
路径：/Users/xnchall/Software/confluent/confluent-4.1.2/etc/schema-registry
配置如下：
# The address the socket server listens on.
# FORMAT:
# listeners = listener_name://host_name:port
# EXAMPLE:
# listeners = PLAINTEXT://your.host.name:9092
listeners=http://0.0.0.0:8088
# Zookeeper connection string for the Zookeeper cluster used by your Kafka cluster
# (see zookeeper docs for details).
# This is a comma separated host:port pairs, each corresponding to a zk
# server. e.g. "127.0.0.1:3000,127.0.0.1:3001,127.0.0.1:3002".
kafkastore.connection.url=192.168.x.100:2181,192.168.x.100:2182
# Alternatively, Schema Registry can now operate without Zookeeper, handling all coordination via
# Kafka brokers. Use this setting to specify the bootstrap servers for your Kafka cluster and it
# will be used both for selecting the master schema registry instance and for storing the data for
# registered schemas.
# (Note that you cannot mix the two modes; use this mode only on new deployments or by shutting down
# all instances, switching to the new configuration, and then starting the schema registry
# instances again.)
#kafkastore.bootstrap.servers=PLAINTEXT://localhost:9092
# The name of the topic to store schemas in
kafkastore.topic=_schemas
# If true, API requests that fail will include extra debugging information, including stack traces
debug=True
启动kafka rest服务
路径：/Users/xnchall/Software/confluent/confluent-4.1.2/bin
启动命令：
./kafka-rest-start ../etc/kafka-rest/kafka-rest.properties
注意：前提是kafka和zk已经全部正常启动
启动schema-registry(可以不启动)
路径：同kafka-rest
启动命令：
./schema-registry-start ../etc/schema-registry/schema-registry.properties
检查kafka-rest否正常启动
方式一：jps
方式二：http://192.168.X.100:8082/topics
建议使用方式二直观明了
至此，kafka-restful service算是搭建和启动完成，接下来就是具体通过kafka rest proxy访问kafka资源了，核心包括生产消息、各类消费消息、资源释放与本身负载均衡、以及存在问题等，请见待更新 kafka rest api介绍与实战
参考：https://www.confluent.io
