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docker-compose.yml
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docker-compose.yml
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version: '3'
x-spark-common: &spark-common
image: bitnami/spark:latest
volumes:
- ./jobs:/opt/bitnami/spark/jobs
command: bin/spark-class org.apache.spark.deploy.worker.Worker spark://spark-master:7077
depends_on:
- spark-master
environment:
SPARK_MODE: Worker
SPARK_WORKER_CORES: 2s
SPARK_WORKER_MEMORY: 1g
SPARK_MASTER_URL: spark://spark-master:7077
networks:
- confluent
services:
zookeeper:
image: confluentinc/cp-zookeeper:7.4.0
hostname: zookeeper
container_name: zookeeper
ports:
- "2181:2181"
environment:
ZOOKEEPER_CLIENT_PORT: 2181
ZOOKEEPER_TICK_TIME: 2000
healthcheck:
test: ['CMD', 'bash', '-c', "echo 'ruok' | nc localhost 2181"]
interval: 10s
timeout: 5s
retries: 5
networks:
- confluent
broker:
image: confluentinc/cp-server:7.4.0
hostname: broker
container_name: broker
depends_on:
zookeeper:
condition: service_healthy
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: 'false'
CONFLUENT_SUPPORT_CUSTOMER_ID: 'anonymous'
networks:
- confluent
healthcheck:
test: [ "CMD", "bash", "-c", 'nc -z localhost 9092' ]
interval: 10s
timeout: 5s
retries: 5
spark-master:
image: bitnami/spark:latest
volumes:
- ./jobs:/opt/bitnami/spark/jobs
command: bin/spark-class org.apache.spark.deploy.master.Master
ports:
- "9090:8080"
- "7077:7077"
networks:
- confluent
spark-worker-1:
<<: *spark-common
spark-worker-2:
<<: *spark-common
# spark-worker-3:
# <<: *spark-common
# spark-worker-4:
# <<: *spark-common
networks:
confluent: