我将ccc与kafka流一起使用,它由debezium的postgres连接器填充。
我用的是 docker-compose.yml
:
version: '2'
services:
zookeeper-1:
image: confluentinc/cp-zookeeper:latest
hostname: zookeeper-1
container_name: zookeeper-1
volumes:
- /path/to/something/zk1/zk-data:/var/lib/zookeeper/data
- /path/to/something/zk1/zk-txn-logs:/var/lib/zookeeper/log
ports:
- 22181:22181
environment:
ZOOKEEPER_SERVER_ID: 1
ZOOKEEPER_CLIENT_PORT: 22181
ZOOKEEPER_TICK_TIME: 2000
ZOOKEEPER_INIT_LIMIT: 5
ZOOKEEPER_SYNC_LIMIT: 2
ZOOKEEPER_SERVERS: zookeeper-1:22888:23888;zookeeper-2:32888:33888;zookeeper-3:42888:43888
zookeeper-2:
image: confluentinc/cp-zookeeper:latest
hostname: zookeeper-2
container_name: zookeeper-2
volumes:
- /path/to/something/zk2/zk-data:/var/lib/zookeeper/data
- /path/to/something/zk2/zk-txn-logs:/var/lib/zookeeper/log
ports:
- 32181:32181
environment:
ZOOKEEPER_SERVER_ID: 2
ZOOKEEPER_CLIENT_PORT: 32181
ZOOKEEPER_TICK_TIME: 2000
ZOOKEEPER_INIT_LIMIT: 5
ZOOKEEPER_SYNC_LIMIT: 2
ZOOKEEPER_SERVERS: zookeeper-1:22888:23888;zookeeper-2:32888:33888;zookeeper-3:42888:43888
zookeeper-3:
image: confluentinc/cp-zookeeper:latest
hostname: zookeeper-3
container_name: zookeeper-3
volumes:
- /path/to/something/zk3/zk-data:/var/lib/zookeeper/data
- /path/to/something/zk3/zk-txn-logs:/var/lib/zookeeper/log
ports:
- 42181:42181
environment:
ZOOKEEPER_SERVER_ID: 3
ZOOKEEPER_CLIENT_PORT: 42181
ZOOKEEPER_TICK_TIME: 2000
ZOOKEEPER_INIT_LIMIT: 5
ZOOKEEPER_SYNC_LIMIT: 2
ZOOKEEPER_SERVERS: zookeeper-1:22888:23888;zookeeper-2:32888:33888;zookeeper-3:42888:43888
kafka-1:
image: confluentinc/cp-enterprise-kafka:latest
hostname: kafka-1
container_name: kafka-1
volumes:
- /path/to/something/kafka1/kafka-data:/var/lib/kafka/data
ports:
- 19092:19092
environment:
KAFKA_BROKER_ID: 1
KAFKA_ZOOKEEPER_CONNECT: zookeeper-1:22181,zookeeper-2:32181,zookeeper-3:42181
KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: PLAINTEXT:PLAINTEXT,PLAINTEXT_HOST:PLAINTEXT
KAFKA_INTER_BROKER_LISTENER_NAME: PLAINTEXT
KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://192.168.0.71:19092
KAFKA_AUTO_CREATE_TOPICS_ENABLE: "true"
KAFKA_METRIC_REPORTERS: io.confluent.metrics.reporter.ConfluentMetricsReporter
KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
KAFKA_GROUP_INITIAL_REBALANCE_DELAY_MS: 100
CONFLUENT_METRICS_REPORTER_BOOTSTRAP_SERVERS: kafka-1:19092,kafka-2:19093,kafka-3:19094
CONFLUENT_METRICS_REPORTER_ZOOKEEPER_CONNECT: zookeeper-1:22181,zookeeper-2:32181,zookeeper-3:42181
CONFLUENT_METRICS_REPORTER_TOPIC_REPLICAS: 1
CONFLUENT_METRICS_ENABLE: 'true'
CONFLUENT_SUPPORT_CUSTOMER_ID: 'anonymous'
KAFKA_REPLICA_FETCH_MAX_BYTES: 3145728
KAFKA_MESSAGE_MAX_BYTES: 3145728
KAFKA_PRODUCER_MAX_REQUEST_SIZE: 3145728
KAFKA_CONSUMER_MAX_PARTITION_FETCH_BYTES: 3145728
depends_on:
- zookeeper-1
- zookeeper-2
- zookeeper-3
kafka-2:
image: confluentinc/cp-enterprise-kafka:latest
hostname: kafka-2
container_name: kafka-2
volumes:
- /path/to/something/kafka2/kafka-data:/var/lib/kafka/data
ports:
- 19093:19093
environment:
KAFKA_BROKER_ID: 2
KAFKA_ZOOKEEPER_CONNECT: zookeeper-1:22181,zookeeper-2:32181,zookeeper-3:42181
KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: PLAINTEXT:PLAINTEXT,PLAINTEXT_HOST:PLAINTEXT
KAFKA_INTER_BROKER_LISTENER_NAME: PLAINTEXT
KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://192.168.0.71:19093
KAFKA_AUTO_CREATE_TOPICS_ENABLE: "true"
KAFKA_METRIC_REPORTERS: io.confluent.metrics.reporter.ConfluentMetricsReporter
KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
KAFKA_GROUP_INITIAL_REBALANCE_DELAY_MS: 100
CONFLUENT_METRICS_REPORTER_BOOTSTRAP_SERVERS: kafka-1:19092,kafka-2:19093,kafka-3:19094
CONFLUENT_METRICS_REPORTER_ZOOKEEPER_CONNECT: zookeeper-1:22181,zookeeper-2:32181,zookeeper-3:42181
CONFLUENT_METRICS_REPORTER_TOPIC_REPLICAS: 1
CONFLUENT_METRICS_ENABLE: 'true'
CONFLUENT_SUPPORT_CUSTOMER_ID: 'anonymous'
KAFKA_REPLICA_FETCH_MAX_BYTES: 3145728
KAFKA_MESSAGE_MAX_BYTES: 3145728
KAFKA_PRODUCER_MAX_REQUEST_SIZE: 3145728
KAFKA_CONSUMER_MAX_PARTITION_FETCH_BYTES: 3145728
depends_on:
- zookeeper-1
- zookeeper-2
- zookeeper-3
kafka-3:
image: confluentinc/cp-enterprise-kafka:latest
hostname: kafka-3
container_name: kafka-3
volumes:
- /path/to/something/kafka3/kafka-data:/var/lib/kafka/data
ports:
- 19094:19094
environment:
KAFKA_BROKER_ID: 3
KAFKA_ZOOKEEPER_CONNECT: zookeeper-1:22181,zookeeper-2:32181,zookeeper-3:42181
KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: PLAINTEXT:PLAINTEXT,PLAINTEXT_HOST:PLAINTEXT
KAFKA_INTER_BROKER_LISTENER_NAME: PLAINTEXT
KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://192.168.0.71:19094
KAFKA_AUTO_CREATE_TOPICS_ENABLE: "true"
KAFKA_METRIC_REPORTERS: io.confluent.metrics.reporter.ConfluentMetricsReporter
KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
KAFKA_GROUP_INITIAL_REBALANCE_DELAY_MS: 100
CONFLUENT_METRICS_REPORTER_BOOTSTRAP_SERVERS: kafka-1:19092,kafka-2:19093,kafka-3:19094
CONFLUENT_METRICS_REPORTER_ZOOKEEPER_CONNECT: zookeeper-1:22181,zookeeper-2:32181,zookeeper-3:42181
CONFLUENT_METRICS_REPORTER_TOPIC_REPLICAS: 1
CONFLUENT_METRICS_ENABLE: 'true'
CONFLUENT_SUPPORT_CUSTOMER_ID: 'anonymous'
KAFKA_REPLICA_FETCH_MAX_BYTES: 3145728
KAFKA_MESSAGE_MAX_BYTES: 3145728
KAFKA_PRODUCER_MAX_REQUEST_SIZE: 3145728
KAFKA_CONSUMER_MAX_PARTITION_FETCH_BYTES: 3145728
depends_on:
- zookeeper-1
- zookeeper-2
- zookeeper-3
schema-registry:
image: confluentinc/cp-schema-registry:latest
hostname: schema-registry
container_name: schema-registry
ports:
- "8081:8081"
environment:
SCHEMA_REGISTRY_HOST_NAME: schema-registry
SCHEMA_REGISTRY_KAFKASTORE_CONNECTION_URL: zookeeper-1:22181,zookeeper-2:32181,zookeeper-3:42181
connect:
image: confluentinc/cp-kafka-connect:latest
hostname: connect
container_name: connect
depends_on:
- schema-registry
- zookeeper-1
- zookeeper-2
- zookeeper-3
- kafka-1
- kafka-2
- kafka-3
ports:
- "8083:8083"
volumes:
- /path/to/something/postgres-source-connector:/usr/share/java/postgres-source-connector
- /path/to/something/mongodb-sink-connector:/usr/share/java/mongodb-sink-connector
environment:
CONNECT_BOOTSTRAP_SERVERS: kafka-1:19092,kafka-2:19093,kafka-3:19094
CONNECT_REST_ADVERTISED_HOST_NAME: connect
CONNECT_REST_PORT: 8083
CONNECT_GROUP_ID: compose-connect-group
CONNECT_CONFIG_STORAGE_TOPIC: docker-connect-configs
CONNECT_OFFSET_STORAGE_TOPIC: docker-connect-offsets
CONNECT_STATUS_STORAGE_TOPIC: docker-connect-status
CONNECT_KEY_CONVERTER: io.confluent.connect.avro.AvroConverter
CONNECT_KEY_CONVERTER_SCHEMA_REGISTRY_URL: 'http://schema-registry:8081'
CONNECT_VALUE_CONVERTER: io.confluent.connect.avro.AvroConverter
CONNECT_VALUE_CONVERTER_SCHEMA_REGISTRY_URL: 'http://schema-registry:8081'
CONNECT_INTERNAL_KEY_CONVERTER: "org.apache.kafka.connect.json.JsonConverter"
CONNECT_INTERNAL_VALUE_CONVERTER: "org.apache.kafka.connect.json.JsonConverter"
CONNECT_REST_ADVERTISED_HOST_NAME: "kafka-connect"
CONNECT_LOG4J_ROOT_LOGLEVEL: "INFO"
CONNECT_LOG4J_LOGGERS: "org.apache.kafka.connect.runtime.rest=WARN,org.reflections=ERROR"
CONNECT_CONFIG_STORAGE_REPLICATION_FACTOR: "1"
CONNECT_OFFSET_STORAGE_REPLICATION_FACTOR: "1"
CONNECT_STATUS_STORAGE_REPLICATION_FACTOR: "1"
CONNECT_PLUGIN_PATH: '/usr/share/java'
CLASSPATH: /usr/share/java/monitoring-interceptors/monitoring-interceptors-5.0.0.jar
CONNECT_PRODUCER_INTERCEPTOR_CLASSES: "io.confluent.monitoring.clients.interceptor.MonitoringProducerInterceptor"
CONNECT_CONSUMER_INTERCEPTOR_CLASSES: "io.confluent.monitoring.clients.interceptor.MonitoringConsumerInterceptor"
CONNECT_PRODUCER_MAX_REQUEST_SIZE: 3145728
CONNECT_CONSUMER_MAX_PARTITION_FETCH_BYTES: 3145728
control-center:
image: confluentinc/cp-enterprise-control-center:latest
hostname: control-center
container_name: control-center
depends_on:
- schema-registry
- connect
- ksql-server
- zookeeper-1
- zookeeper-2
- zookeeper-3
- kafka-1
- kafka-2
- kafka-3
ports:
- "9021:9021"
environment:
CONTROL_CENTER_BOOTSTRAP_SERVERS: kafka-1:19092,kafka-2:19093,kafka-3:19094
CONTROL_CENTER_ZOOKEEPER_CONNECT: zookeeper-1:22181,zookeeper-2:32181,zookeeper-3:42181
CONTROL_CENTER_CONNECT_CLUSTER: 'http://connect:8083'
CONTTROL_CENTER_PRODUCER_INTERCEPTOR_CLASSES: "io.confluent.monitoring.clients.interceptor.MonitoringProducerInterceptor"
CONTROL_CENTER_CONSUMER_INTERCEPTOR_CLASSES: "io.confluent.monitoring.clients.interceptor.MonitoringConsumerInterceptor"
CONTROL_CENTER_KSQL_URL: "http://ksql-server:8088"
CONTROL_CENTER_CONNECT_CLUSTER: "http://connect:8083"
CONTROL_CENTER_KSQL_ADVERTISED_URL: "http://localhost:8088"
CONTROL_CENTER_SCHEMA_REGISTRY_URL: "https://schema-registry:8081"
CONTROL_CENTER_REPLICATION_FACTOR: 1
CONTROL_CENTER_INTERNAL_TOPICS_PARTITIONS: 1
CONTROL_CENTER_MONITORING_INTERCEPTOR_TOPIC_PARTITIONS: 1
CONFLUENT_METRICS_TOPIC_REPLICATION: 1
CONTROL_CENTER_CUB_KAFKA_TIMEOUT: 300
PORT: 9021
ksql-server:
image: confluentinc/cp-ksql-server:latest
hostname: ksql-server
container_name: ksql-server
depends_on:
- connect
ports:
- "8088:8088"
environment:
KSQL_CUB_KAFKA_TIMEOUT: 300
KSQL_BOOTSTRAP_SERVERS: kafka-1:19092,kafka-2:19093,kafka-3:19094
KSQL_LISTENERS: http://0.0.0.0:8088
KSQL_KSQL_SCHEMA_REGISTRY_URL: http://schema-registry:8081
KSQL_KSQL_SERVICE_ID: confluent_rmoff_01
KSQL_PRODUCER_INTERCEPTOR_CLASSES: "io.confluent.monitoring.clients.interceptor.MonitoringProducerInterceptor"
KSQL_CONSUMER_INTERCEPTOR_CLASSES: "io.confluent.monitoring.clients.interceptor.MonitoringConsumerInterceptor"
KSQL_KSQL_COMMIT_INTERVAL_MS: 2000
KSQL_KSQL_CACHE_MAX_BYTES_BUFFERING: 10000000
KSQL_KSQL_AUTO_OFFSET_RESET: earliest
ksql-cli:
image: confluentinc/cp-ksql-cli:latest
hostname: ksql-cli
container_name: ksql-cli
depends_on:
- connect
- ksql-server
entrypoint: /bin/sh
tty: true
rest-proxy:
image: confluentinc/cp-kafka-rest:latest
hostname: rest-proxy
container_name: rest-proxy
depends_on:
- schema-registry
ports:
- 8082:8082
environment:
KAFKA_REST_HOST_NAME: rest-proxy
KAFKA_REST_BOOTSTRAP_SERVERS: kafka-1:19092,kafka-2:19093,kafka-3:19094
KAFKA_REST_LISTENERS: "http://0.0.0.0:8082"
KAFKA_REST_SCHEMA_REGISTRY_URL: 'http://schema-registry:8081'
KAFKA_REST_ACCESS_CONTROL_ALLOW_METHODS: 'GET,POST,PUT,DELETE,OPTIONS'
KAFKA_REST_ACCESS_CONTROL_ALLOW_ORIGIN: '*'
postgres:
image: debezium/postgres
hostname: postgres
container_name: postgres
volumes:
- /path/to/something/postgres:/var/lib/postgresql/data
environment:
POSTGRES_USER: admin
POSTGRES_PASSWORD: admin
POSTGRES_DB: some-db
ports:
- 5432:5432
我已经将postgres连接器Map到kafka connect(通过 volumes
在compose中),并且在创建新的源连接器时可以在ccc中看到它。
当我创建一个源连接器时,我可以看到一条日志消息,指示这个连接器的主题已经创建。我在ccc的connect区域也看到了这个主题。我还可以看到connect能够通过这个连接器对postgres进行身份验证。
当我对连接器中指定的表进行更改时,我看到kafka(我有一个3人的集群)正在计算谁将存储此消息。也就是说,postgres tx日志创建了一个相应主题的消息来响应我的更改,因此db、connector和kafka都正常工作。
但是,无论我做什么,我都不能让这个事件在 Data Streams
或者 System Health
(无论是 > Topics
也不是 > Brokers
区域)(编辑:现在可以工作了。数据流仍然没有。
我不知道发生了什么事。我得到的唯一迹象是最初的信息
仔细检查是否已为向群集controlcenter.cluster生产或使用群集controlcenter.cluster的任何客户端正确配置了监视侦听器
我的印象是,这基本上意味着我的控制中心容器配置了 *_INTERCEPTOR_CLASSES
,我贴在上面。我跟踪了这条消息上的链接,它把你带到他们的文档站点,上面说要检查提供Kafka数据的web服务的响应。正如他们的文件所显示的,我得到的答复只是 {}
,表明Kafka说它没有数据。但确实如此。
是不是想说我也需要在连接器中配置这些拦截器?我不知道为任何消费者/生产者监视拦截器意味着什么——我还没有任何原始的java消费者/生产者。。。目前仅限源连接器。
我的连接器配置如下(通过ccc ui创建),如果有关系的话:
{
"database.server.name": "my-namespace",
"database.dbname": "my-database",
"database.hostname": "my-hostname",
"database.port": "5432",
"database.user": "admin",
"schema.whitelist": "public",
"table.whitelist": "my-database.my-table",
"connector.class": "io.debezium.connector.postgresql.PostgresConnector",
"name": "my-connector",
"database.password": "its correct"
}
在启动所有服务时,我在相应的日志中看到以下我怀疑可能感兴趣的内容(以下没有特定顺序):
control-center | 2018-09-17T20:45:02.748463792Z interceptor.classes = []
kafka-2 | 2018-09-17T20:44:56.293701931Z interceptor.classes = []
schema-registry | 2018-09-17T20:45:34.658065846Z interceptor.classes = []
connect | 2018-09-17T20:48:52.628218936Z [2018-09-17 20:48:52,628] WARN The configuration 'producer.interceptor.classes' was supplied but isn't a known config. (org.apache.kafka.clients.admin.AdminClientConfig)
connect | 2018-09-17T20:48:52.628472218Z [2018-09-17 20:48:52,628] WARN The configuration 'consumer.interceptor.classes' was supplied but isn't a known config. (org.apache.kafka.clients.admin.AdminClientConfig)
感谢您的帮助。谢谢!
1条答案
按热度按时间a14dhokn1#
您正在引用
5.1.0
拦截器的jar,在latest
形象。如果你docker-compose exec connect bash
然后转到定义的路径,您将看到哪个版本(当前5.0.0
在latest
). 所以把你的作文改成阅读看一看https://github.com/rmoff/ksql/blob/clickstream-c3/ksql-clickstream-demo/docker-compose.yml 例如,docker使用confluent control center和使用kafka connect(如果您感兴趣,还可以使用ksql)的拦截器组合。
要进一步调试,请检查:
Kafka连接日志文件-如果拦截器工作,你应该看到
有关故障诊断的详细信息,请参阅confluent control center故障诊断文档
control-center-console-consumer
您可以使用检查正在接收的实际拦截器数据(如果设置不正确,也可以不检查)。