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송민준의 개발노트
[local] kafka 세팅 본문
https://kafka.apache.org/downloads
1. 카프카 공식 사이트 들어가서 원하는 버전의 kafka 다운
2. 다운 받은 tgz 파일을 원하는 경로에 zip 풀기
- 세팅 관련 파일들은 config 폴더
- 실행 파일들은 bin 폴더, window는 bin/windows
3. 아래는 기본적인 실행 명령어 예시
cd C:\Work\kafka_2.12-3.4.0\bin\windows
// 쥬키퍼 서버
zookeeper-server-start.bat ../../config/zookeeper.properties
// 카프카 서버(프로듀서)
kafka-server-start.bat ../../config/server.properties
// 카프카 토픽 리스트 확인
kafka-topics.bat --bootstrap-server localhost:9092 --list
// 카프카 토픽 상세 확인
kafka-topics.bat --bootstrap-server localhost:9092 --describe --topic quickstart-events
// 카프카 토픽 생성(quickstart-events 이름)
kafka-topics.bat --bootstrap-server localhost:9092 --create --topic quickstart-events --partitions 1
// 프로듀서 실행
kafka-console-producer.bat --broker-list localhost:9092 --topic quickstart-events
// 컨슈머 실행
kafka-console-consumer.bat --bootstrap-server localhost:9092 --topic quickstart-events --from-beginning
* docker-compose.yml 예시
version: '2'
services:
zookeeper:
image: confluentinc/cp-zookeeper:7.2.1
hostname: zookeeper
container_name: zookeeper
ports:
- "2181:2181"
environment:
ZOOKEEPER_CLIENT_PORT: 2181
ZOOKEEPER_TICK_TIME: 2000
broker:
image: confluentinc/cp-server:7.2.1
hostname: broker
container_name: broker
depends_on:
- zookeeper
ports:
- "9092:9092"
- "9101:9101"
environment:
KAFKA_BROKER_ID: 1
KAFKA_ZOOKEEPER_CONNECT: 'zookeeper:2181'
KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: PLAINTEXT:PLAINTEXT,PLAINTEXT_HOST:PLAINTEXT
KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://broker:29092,PLAINTEXT_HOST://localhost:9092
KAFKA_METRIC_REPORTERS: io.confluent.metrics.reporter.ConfluentMetricsReporter
KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
KAFKA_GROUP_INITIAL_REBALANCE_DELAY_MS: 0
KAFKA_CONFLUENT_LICENSE_TOPIC_REPLICATION_FACTOR: 1
KAFKA_CONFLUENT_BALANCER_TOPIC_REPLICATION_FACTOR: 1
KAFKA_TRANSACTION_STATE_LOG_MIN_ISR: 1
KAFKA_TRANSACTION_STATE_LOG_REPLICATION_FACTOR: 1
KAFKA_JMX_PORT: 9101
KAFKA_JMX_HOSTNAME: localhost
KAFKA_CONFLUENT_SCHEMA_REGISTRY_URL: http://schema-registry:8081
CONFLUENT_METRICS_REPORTER_BOOTSTRAP_SERVERS: broker:29092
CONFLUENT_METRICS_REPORTER_TOPIC_REPLICAS: 1
CONFLUENT_METRICS_ENABLE: 'true'
CONFLUENT_SUPPORT_CUSTOMER_ID: 'anonymous'
schema-registry:
image: confluentinc/cp-schema-registry:7.2.1
hostname: schema-registry
container_name: schema-registry
depends_on:
- broker
ports:
- "8081:8081"
environment:
SCHEMA_REGISTRY_HOST_NAME: schema-registry
SCHEMA_REGISTRY_KAFKASTORE_BOOTSTRAP_SERVERS: 'broker:29092'
SCHEMA_REGISTRY_LISTENERS: http://0.0.0.0:8081
connect:
image: cnfldemos/cp-server-connect-datagen:0.5.3-7.1.0
hostname: connect
container_name: connect
depends_on:
- broker
- schema-registry
ports:
- "8083:8083"
volumes:
- ./jdbc jar가 들어있는 로컬 디렉토리:/etc/kafka-connect/jars #jdbc 연결시 필요
environment:
CONNECT_BOOTSTRAP_SERVERS: 'broker:29092'
CONNECT_REST_ADVERTISED_HOST_NAME: connect
CONNECT_GROUP_ID: compose-connect-group
CONNECT_CONFIG_STORAGE_TOPIC: docker-connect-configs
CONNECT_CONFIG_STORAGE_REPLICATION_FACTOR: 1
CONNECT_OFFSET_FLUSH_INTERVAL_MS: 10000
CONNECT_OFFSET_STORAGE_TOPIC: docker-connect-offsets
CONNECT_OFFSET_STORAGE_REPLICATION_FACTOR: 1
CONNECT_STATUS_STORAGE_TOPIC: docker-connect-status
CONNECT_STATUS_STORAGE_REPLICATION_FACTOR: 1
CONNECT_KEY_CONVERTER: org.apache.kafka.connect.storage.StringConverter
CONNECT_VALUE_CONVERTER: org.apache.kafka.connect.json.JsonConverter
CONNECT_VALUE_CONVERTER_SCHEMA_REGISTRY_URL: http://schema-registry:8081
# CLASSPATH required due to CC-2422
CLASSPATH: /usr/share/java/monitoring-interceptors/monitoring-interceptors-7.2.1.jar
CONNECT_PRODUCER_INTERCEPTOR_CLASSES: "io.confluent.monitoring.clients.interceptor.MonitoringProducerInterceptor"
CONNECT_CONSUMER_INTERCEPTOR_CLASSES: "io.confluent.monitoring.clients.interceptor.MonitoringConsumerInterceptor"
CONNECT_PLUGIN_PATH: "/usr/share/java,/usr/share/confluent-hub-components"
CONNECT_LOG4J_LOGGERS: org.apache.zookeeper=ERROR,org.I0Itec.zkclient=ERROR,org.reflections=ERROR
control-center:
image: confluentinc/cp-enterprise-control-center:7.2.1
hostname: control-center
container_name: control-center
depends_on:
- broker
- schema-registry
- connect
- ksqldb-server
ports:
- "9021:9021"
environment:
CONTROL_CENTER_BOOTSTRAP_SERVERS: 'broker:29092'
CONTROL_CENTER_CONNECT_CONNECT-DEFAULT_CLUSTER: 'connect:8083'
CONTROL_CENTER_KSQL_KSQLDB1_URL: "http://ksqldb-server:8088"
CONTROL_CENTER_KSQL_KSQLDB1_ADVERTISED_URL: "http://localhost:8088"
CONTROL_CENTER_SCHEMA_REGISTRY_URL: "http://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
PORT: 9021
ksqldb-server:
image: confluentinc/cp-ksqldb-server:7.2.1
hostname: ksqldb-server
container_name: ksqldb-server
depends_on:
- broker
- connect
ports:
- "8088:8088"
environment:
KSQL_CONFIG_DIR: "/etc/ksql"
KSQL_BOOTSTRAP_SERVERS: "broker:29092"
KSQL_HOST_NAME: ksqldb-server
KSQL_LISTENERS: "http://0.0.0.0:8088"
KSQL_CACHE_MAX_BYTES_BUFFERING: 0
KSQL_KSQL_SCHEMA_REGISTRY_URL: "http://schema-registry:8081"
KSQL_PRODUCER_INTERCEPTOR_CLASSES: "io.confluent.monitoring.clients.interceptor.MonitoringProducerInterceptor"
KSQL_CONSUMER_INTERCEPTOR_CLASSES: "io.confluent.monitoring.clients.interceptor.MonitoringConsumerInterceptor"
KSQL_KSQL_CONNECT_URL: "http://connect:8083"
KSQL_KSQL_LOGGING_PROCESSING_TOPIC_REPLICATION_FACTOR: 1
KSQL_KSQL_LOGGING_PROCESSING_TOPIC_AUTO_CREATE: 'true'
KSQL_KSQL_LOGGING_PROCESSING_STREAM_AUTO_CREATE: 'true'
ksqldb-cli:
image: confluentinc/cp-ksqldb-cli:7.2.1
container_name: ksqldb-cli
depends_on:
- broker
- connect
- ksqldb-server
entrypoint: /bin/sh
tty: true
ksql-datagen:
image: confluentinc/ksqldb-examples:7.2.1
hostname: ksql-datagen
container_name: ksql-datagen
depends_on:
- ksqldb-server
- broker
- schema-registry
- connect
command: "bash -c 'echo Waiting for Kafka to be ready... && \
cub kafka-ready -b broker:29092 1 40 && \
echo Waiting for Confluent Schema Registry to be ready... && \
cub sr-ready schema-registry 8081 40 && \
echo Waiting a few seconds for topic creation to finish... && \
sleep 11 && \
tail -f /dev/null'"
environment:
KSQL_CONFIG_DIR: "/etc/ksql"
STREAMS_BOOTSTRAP_SERVERS: broker:29092
STREAMS_SCHEMA_REGISTRY_HOST: schema-registry
STREAMS_SCHEMA_REGISTRY_PORT: 8081
rest-proxy:
image: confluentinc/cp-kafka-rest:7.2.1
depends_on:
- broker
- schema-registry
ports:
- 8082:8082
hostname: rest-proxy
container_name: rest-proxy
environment:
KAFKA_REST_HOST_NAME: rest-proxy
KAFKA_REST_BOOTSTRAP_SERVERS: 'broker:29092'
KAFKA_REST_LISTENERS: "http://0.0.0.0:8082"
KAFKA_REST_SCHEMA_REGISTRY_URL: 'http://schema-registry:8081'
kafka connect 설치
1. 패키지 다운
curl -O https://packages.confluent.io/archive/7.3/confluent-community-7.3.3.tar.gz
tar xvf confluent-community-7.3.3.tar.gz
2. jdbc connecter 다운로드
3. mysql-driver 다운로드
- zip으로 풀어서 jar파일 챙김
https://downloads.mysql.com/archives/c-j/
4. connect-distributed.properties에 plugin 추가
confluent-7.3.3 밑에 confluent-7.3.3\etc\kafka 경로에 connect-distributed.properties에 마지막 줄 추가(jdbc 라이브러리)
plugin.path=\C:\\Work\\confluentinc-kafka-connect-jdbc-10.6.3\\lib
5. C:\Work\confluent-7.3.3\share\java\kafka 경로에 mysql driver추가
mysql-connector-j-8.0.32.jar
6. connect-distributed.bat 에 log 세팅 수정
rem Log4j settings
IF ["%KAFKA_LOG4J_OPTS%"] EQU [""] (
set KAFKA_LOG4J_OPTS=-Dlog4j.configuration=file:%BASE_DIR%/etc/kafka/connect-log4j.properties
)
7. kafka-run-class.bat에 Classpath addition for LSB style path 수정
rem Classpath addition for LSB style path
if exist %BASE_DIR%\share\java\kafka\* (
call:concat %BASE_DIR%\share\java\kafka\*
)
8. 명령어 실행으로 확인
cd C:\Work\confluent-7.3.1
.\bin\windows\connect-distributed.bat .\etc\kafka\connect-distributed.properties
* kafka Source Connect *
9. kafka Source Connect 추가(기본 포트가 8083인듯)
echo '
{
"name" : "my-source-connect",
"config" : {
"connector.class" : "io.confluent.connect.jdbc.JdbcSourceConnector",
"connection.url":"jdbc:mysql://localhost:3306/msa",
"connection.user":"msa",
"connection.password":"1234",
"mode": "incrementing",
"incrementing.column.name" : "id",
"table.whitelist":"users",
"topic.prefix" : "my_topic_",
"tasks.max" : "1"
}
}
' | curl -X POST -d @- http://localhost:8083/connectors --header "content-Type:application/json"
### kafka connect 리스트
GET http://localhost:8083/connectors
### kafka connect 리스트 상세
GET http://localhost:8083/connectors/my-source-connect
### kafka connect 생성
POST http://localhost:8083/connectors
Content-Type: application/json
{
"name" : "my-source-connect",
"config" : {
"connector.class" : "io.confluent.connect.jdbc.JdbcSourceConnector",
"connection.url":"jdbc:mysql://localhost:3306/msa",
"connection.user":"msa",
"connection.password":"1234",
"mode": "incrementing",
"incrementing.column.name" : "id",
"table.whitelist":"users",
"topic.prefix" : "my_topic_",
"tasks.max" : "1"
}
}
### kafka connect connect2
POST http://localhost:8083/connectors
Content-Type: application/json
{
"name" : "my-source-connect-2",
"config" : {
"connector.class" : "io.confluent.connect.jdbc.JdbcSourceConnector",
"connection.url":"jdbc:mysql://localhost:3306/msa",
"connection.user":"msa",
"connection.password":"1234",
"mode": "timestamp+incrementing",
"timestamp.column.name" : "modified_at",
"incremental.column.name" : "id",
"validate.non.null": false,
"table.whitelist":"users",
"topic.prefix" : "my_topic_2_",
"tasks.max" : "1"
}
}
10. 9)번 연결 작업 후 연결된 db의 로그를 보고싶다면 해당 토픽을 기준으로 컨슈머 실행
kafka-console-consumer.bat --bootstrap-server localhost:9092 --topic my-source-connect --from-beginning
* kafka Sink Connect *
11. kafka sink connect 추가
### kafka sink connect
POST http://localhost:8083/connectors
Content-Type: application/json
{
"name":"my-sink-connect",
"config":{
"connector.class":"io.confluent.connect.jdbc.JdbcSinkConnector",
"connection.url":"jdbc:mysql://localhost:3306/msa",
"connection.user":"msa",
"connection.password":"1234",
"auto.create":"true",
"auto.evolve":"true",
"delete.enabled":"false",
"tasks.max":"1",
"topics":"my_topic_users"
}
}
* 윈도우에서 '현재 연결은 원격 호스트에 의해 강제로 끊겼습니다' 에러 시 *
* sink tasks status failed 일 때 질문 남긴 것 *
참고