Kafka Connect使用入门-Mysql数据导入到ElasticSearch

1.Kafka Connect

Connect是Kafka的一部分，它为在Kafka和外部存储系统之间移动数据提供了一种可靠且伸缩的方式，它为连接器插件提供了一组API和一个运行时-Connect负责运行这些插件，它们负责移动数据。Connect以worker进程集群的方式运行，基于work进程安装连接器插件，然后使用REST API管理和配置connector，这些work进程都是长时间运行的作业。connector启动额外的task，利用work节点的资源以并行的方式移动大量的数据。SourceConnector负责从源系统读取数据，并把数据对象提供给work进程，SinkConnector负责从work进程获取数据，并把它们写入目标系统。

2.Connect中一些概念

连接器：实现了Connect API，决定需要运行多少个任务，按照任务来进行数据复制，从work进程获取任务配置并将其传递下去

任务：负责将数据移入或移出Kafka

work进程：相当与connector和任务的容器，用于负责管理连接器的配置、启动连接器和连接器任务，提供REST API

转换器：kafka connect和其他存储系统直接发送或者接受数据之间转换数据

3.运行Connect

//分布模式
cd kafka/bin
sh connect-distributed.sh ../config/connect-distributed.properties

connect-distributed.properties中有一些配置：

bootstrap.servers:kafka集群信息
#相同id的connect worker属于一个Connect集群
group.id:group.id=connect-cluster
#定义数据在Kafka中存储形式
key.converter=org.apache.kafka.connect.json.JsonConverter
value.converter=org.apache.kafka.connect.json.JsonConverter

REST API查看、管理connectors

查看kafka支持的connector
curl -X GET http://ip:8083/connector-plugins
GET /connectors – 返回所有正在运行的connector名。 
POST /connectors – 新建一个connector; 请求体必须是json格式并且需要包含name字段和config字段,name是connector的名字,config是json格式,必须包含你的connector的配置信息。 
GET /connectors/{name} – 获取指定connetor的信息。 
GET /connectors/{name}/config – 获取指定connector的配置信息。 
PUT /connectors/{name}/config – 更新指定connector的配置信息。 
GET /connectors/{name}/status – 获取指定connector的状态,包括它是否在运行、停止、或者失败,如果发生错误,还会列出错误的具体信息。 
GET /connectors/{name}/tasks – 获取指定connector正在运行的task。 
GET /connectors/{name}/tasks/{taskid}/status – 获取指定connector的task的状态信息。 
PUT /connectors/{name}/pause – 暂停connector和它的task,停止数据处理知道它被恢复。 
PUT /connectors/{name}/resume – 恢复一个被暂停的connector。 
POST /connectors/{name}/restart – 重启一个connector,尤其是在一个connector运行失败的情况下比较常用 
POST /connectors/{name}/tasks/{taskId}/restart – 重启一个task,一般是因为它运行失败才这样做。 
DELETE /connectors/{name} – 删除一个connector,停止它的所有task并删除配置。 

apache kafka默认支持FileStreamSinkConnector、FileStreamSourceConnector。Confluent实现很多开源的connector，也可以自己根据Connect API实现自定义的connector。

4. 连接器示例-从MySQL到ElasticSearch

4.1 下载连接器

confluentinc-kafka-connect-elasticsearch-5.0.0、confluentinc-kafka-connect-jdbc-5.0.0，将两个文件中lib中jar包放在运行connect worker节点中kafka安装路径下的lib目录，另外mysql-connector-java-5.1.22.jar也要放进去

confluent 中的连接器使用说明 https://docs.confluent.io/2.0.0/connect/connect-jdbc/docs/index.html

4.2 重启Connect

 验证插件是否加载成功

curl -X GET http://ip:8083/connector-plugins
[{"class":"io.confluent.connect.elasticsearch.ElasticsearchSinkConnector","type":"sink","version":"5.0.0"},{"class":"io.confluent.connect.jdbc.JdbcSinkConnector","type":"sink","version":"5.0.0"},{"class":"io.confluent.connect.jdbc.JdbcSourceConnector","type":"source","version":"5.0.0"},{"class":"org.apache.kafka.connect.file.FileStreamSinkConnector","type":"sink","version":"1.0"},{"class":"org.apache.kafka.connect.file.FileStreamSourceConnector","type":"source","version":"1.0"}]

4.3 mysql建立测试表

mysql> create table login(username varchar(50),login_time datetime);
Query OK, 0 rows affected (0.73 sec)

mysql> insert into login values('przhang',now());
Query OK, 1 row affected (0.03 sec)

mysql> insert into login values('peter',now());
Query OK, 1 row affected (0.00 sec)

4.4 启动jdbc-connector

echo '{"name":"mysql-login-connector","config":{"connector.class":"JdbcSourceConnector","connection.url":"jdbc:mysql://localhost:3306/dwwspdb?user=dw_wspdb&password=dw_wspdb","mode":"timestamp","table.whitelist":"login","validate.non.null":false,"timestamp.column.name":"login_time","topic.prefix":"mysql."}}' | curl -X POST -d @- http://ip:8083/connectors --header "Content-Type:application/json"

JdbcSourceConnector一些配置说明

connection.url，mysql数据库连接

mode:timestamp  && "timestamp.column.name":"login_time"，表示识别根据login_time时间列来识别增量数据，一旦这一列值发生变化，就会有一天新的记录写到kafka主题

mode:incrementing && "incrementing.column.id":"id"，适合还有自增列的表，一旦有新的记录入mysq，就会有新的记录写到kafka主题

topic.prefix:mysql.，表示写到kafka的主题为mysql.表名

查看kafka主题中的消息

sh kafka-console-consumer.sh --bootstrap-server=kafkaip:9092 --topic mysql.login --from-beginning
{"schema":{"type":"struct","fields":[{"type":"string","optional":true,"field":"username"},{"type":"int64","optional":true,"name":"org.apache.kafka.connect.data.Timestamp","version":1,"field":"login_time"}],"optional":false,"name":"login"},"payload":{"username":"przhang","login_time":1540453531000}}
{"schema":{"type":"struct","fields":[{"type":"string","optional":true,"field":"username"},{"type":"int64","optional":true,"name":"org.apache.kafka.connect.data.Timestamp","version":1,"field":"login_time"}],"optional":false,"name":"login"},"payload":{"username":"peter","login_time":1540453540000}}

mysql数据更新：
update login set login_time=now() where username='przhang';
kafka实时输出：
{"schema":{"type":"struct","fields":[{"type":"string","optional":true,"field":"username"},{"type":"int64","optional":true,"name":"org.apache.kafka.connect.data.Timestamp","version":1,"field":"login_time"}],"optional":false,"name":"login"},"payload":{"username":"przhang","login_time":1540454254000}}

4.5 启动ElasticsearchSinkConnector

echo '{"name":"elastic-login-connector","config":{"connector.class":"ElasticsearchSinkConnector","connection.url":"http://ESIP:9200","type.name":"mysql-data","topics":"mysql.login","key.ignore":true}}' | curl -X POST -d @- http://ip:8083/connectors --header "Content-Type:application/json"

ElasticsearchSinkConnector一些配置：

connection.url，es连接

type.name，写入ES的索引类别

key.ignore=true，表示写入ES的每条记录的键为kafka主题名字+分区id+偏移量

从ES中查看数据：

curl -X GET http://ESIP:9200/mysql.login/_search?pretty=true
{
  "took" : 1,
  "timed_out" : false,
  "_shards" : {
    "total" : 5,
    "successful" : 5,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : 5,
    "max_score" : 1.0,
    "hits" : [
      {
        "_index" : "mysqllogin",
        "_type" : "mysql-data",
        "_id" : "mysqllogin+3+0",
        "_score" : 1.0,
        "_source" : {
          "username" : "przhang",
          "login_time" : 1540453531000
        }
      },
      {
        "_index" : "mysqllogin",
        "_type" : "mysql-data",
        "_id" : "mysqllogin+3+3",
        "_score" : 1.0,
        "_source" : {
          "username" : "mayun",
          "login_time" : 1540454531000
        }
      },
      {
        "_index" : "mysqllogin",
        "_type" : "mysql-data",
        "_id" : "mysqllogin+3+2",
        "_score" : 1.0,
        "_source" : {
          "username" : "przhang",
          "login_time" : 1540454254000
        }
      },
      {
        "_index" : "mysqllogin",
        "_type" : "mysql-data",
        "_id" : "mysqllogin+3+4",
        "_score" : 1.0,
        "_source" : {
          "username" : "pony",
          "login_time" : 1540473988000
        }
      },
      {
        "_index" : "mysqllogin",
        "_type" : "mysql-data",
        "_id" : "mysqllogin+3+1",
        "_score" : 1.0,
        "_source" : {
          "username" : "peter",
          "login_time" : 1540453540000
        }
      }
    ]
  }
}