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docker-compose.yml
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name: "spark-kafka-cluster"
networks:
spark-kafka:
name: spark-kafka
driver: bridge
ipam:
driver: default
config:
- subnet: "172.18.0.0/16"
services:
spark-master:
image: my-spark-cluster:3.5.0
ports:
- "9090:8080"
- "7077:7077"
- "4040:4040"
volumes:
- ./apps:/opt/spark-apps
- ./data:/opt/spark-data
- ./spark/metrics.properties:/opt/spark/conf/metrics.properties
environment:
- SPARK_LOCAL_IP=172.18.0.10
- SPARK_WORKLOAD=master
networks:
spark-kafka:
ipv4_address: 172.18.0.10
spark-worker-a:
image: my-spark-cluster:3.5.0
ports:
- "9091:8080"
- "7000:7000"
depends_on:
- spark-master
environment:
- SPARK_MASTER=spark://spark-master:7077
- SPARK_WORKER_CORES=1
- SPARK_WORKER_MEMORY=1G
- SPARK_DRIVER_MEMORY=1G
- SPARK_EXECUTOR_MEMORY=1G
- SPARK_WORKLOAD=worker
- SPARK_LOCAL_IP=172.18.0.2
volumes:
- ./apps:/opt/spark-apps
- ./data:/opt/spark-data
- ./spark/metrics.properties:/opt/spark/conf/metrics.properties
networks:
spark-kafka:
ipv4_address: 172.18.0.2
spark-worker-b:
image: my-spark-cluster:3.5.0
ports:
- "9093:8080"
- "7001:7000"
depends_on:
- spark-master
environment:
- SPARK_MASTER=spark://spark-master:7077
- SPARK_WORKER_CORES=1
- SPARK_WORKER_MEMORY=1G
- SPARK_DRIVER_MEMORY=1G
- SPARK_EXECUTOR_MEMORY=1G
- SPARK_WORKLOAD=worker
- SPARK_LOCAL_IP=172.18.0.3
volumes:
- ./apps:/opt/spark-apps
- ./data:/opt/spark-data
- ./spark/metrics.properties:/opt/spark/conf/metrics.properties
networks:
spark-kafka:
ipv4_address: 172.18.0.3
kafka:
image: bitnami/kafka:3.7.0
container_name: kafka
ports:
- "9092:9092"
environment:
KAFKA_CFG_NODE_ID: 0
KAFKA_CFG_PROCESS_ROLES: controller,broker
KAFKA_CFG_LISTENERS: "PLAINTEXT://172.18.0.4:9092,CONTROLLER://0.0.0.0:9093"
KAFKA_CFG_LISTENER_SECURITY_PROTOCOL_MAP: "CONTROLLER:PLAINTEXT,PLAINTEXT:PLAINTEXT"
KAFKA_CFG_CONTROLLER_QUORUM_VOTERS: [email protected]:9093
KAFKA_CFG_CONTROLLER_LISTENER_NAMES: CONTROLLER
networks:
spark-kafka:
ipv4_address: 172.18.0.4
init-kafka:
image: bitnami/kafka:3.7.0
container_name: init-kafka
depends_on:
kafka:
condition: service_started
entrypoint: [ '/usr/bin/bash', '-c' ]
command: |
"
set -ex
# blocks until kafka is reachable
/opt/bitnami/kafka/bin/kafka-topics.sh --bootstrap-server 172.18.0.4:9092 --list
echo -e 'Creating kafka topics'
/opt/bitnami/kafka/bin/kafka-topics.sh --bootstrap-server 172.18.0.4:9092 --create --if-not-exists --topic topic-events --replication-factor 1 --partitions 1
echo -e 'Successfully created the following topics:'
/opt/bitnami/kafka/bin/kafka-topics.sh --bootstrap-server 172.18.0.4:9092 --list
"
networks:
spark-kafka:
ipv4_address: 172.18.0.21
localstack:
container_name: "${LOCALSTACK_DOCKER_NAME:-localstack-main}"
image: localstack/localstack:3.4.0
ports:
- "127.0.0.1:4566:4566"
- "127.0.0.1:4510-4559:4510-4559"
environment:
- SERVICES=events,sqs,s3
- DEBUG=true
- DEFAULT_REGION=eu-west-1
- AWS_ACCESS_KEY_ID=test
- AWS_SECRET_ACCESS_KEY=test
volumes:
- "${LOCALSTACK_VOLUME_DIR:-./volume}:/var/lib/localstack"
- "/var/run/docker.sock:/var/run/docker.sock"
networks:
spark-kafka:
ipv4_address: 172.18.0.6
init-s3-storage:
container_name: init-s3-storage
image: localstack/localstack:3.4.0
entrypoint: [ "bash", "-c", "awslocal --endpoint-url http://172.18.0.6:4566 s3 mb s3://my-bucket" ]
depends_on:
localstack:
condition: service_healthy
networks:
spark-kafka:
ipv4_address: 172.18.0.7
rabbitmq:
image: 'rabbitmq:3.12-management'
restart: unless-stopped
ports:
- "5672:5672"
- "15672:15672"
environment:
- RABBITMQ_DEFAULT_USER=codely
- RABBITMQ_DEFAULT_PASS=codely
networks:
spark-kafka:
ipv4_address: 172.18.0.20
postgres:
image: postgres:14-alpine
container_name: postgres
environment:
- POSTGRES_USER
- POSTGRES_PASSWORD
- POSTGRES_DB
healthcheck:
test: [ "CMD", "psql", "-U", "${POSTGRES_USER}", "${POSTGRES_DB}" ]
ports:
- '5432:5432'
networks:
spark-kafka:
ipv4_address: 172.18.0.8
hive-metastore:
image: apache/hive:4.0.0-alpha-2
container_name: hive-metastore
environment:
- SERVICE_NAME=metastore
- DB_DRIVER=postgres
- HIVE_CUSTOM_CONF_DIR=/hive_custom_conf
ports:
- "9083:9083"
volumes:
- ./data/delta/osdp/spark-warehouse:/opt/spark/work-dir/data/delta/osdp/spark-warehouse
- ./hive/conf/hive-site.xml:/opt/hive/conf/hive-site.xml
- ./hive/conf/jars/hadoop-aws-3.2.2.jar:/opt/hive/lib/hadoop-aws-3.2.2.jar
- ./hive/conf/jars/aws-java-sdk-bundle-1.11.375.jar:/opt/hive/lib/aws-java-sdk-bundle-1.11.375.jar
- ./hive/conf/.hiverc:/opt/hive/conf/.hiverc
depends_on:
postgres:
condition: service_healthy
networks:
spark-kafka:
ipv4_address: 172.18.0.9
spark-thrift-server:
image: my-spark-cluster:3.5.0
container_name: spark-thrift-server
depends_on:
spark-master:
condition: service_started
hive-metastore:
condition: service_started
environment:
- SPARK_WORKLOAD=thrift-server
- HIVE_METASTORE_URI=thrift://172.18.0.8:9083
- SPARK_MASTER=spark://172.18.0.10:7077
- SPARK_SQL_HIVE_METASTORE_URIS=thrift://172.18.0.8:9083
ports:
- "10000:10000"
entrypoint: >
/opt/spark/bin/spark-submit
--class org.apache.spark.sql.hive.thriftserver.HiveThriftServer2
--master spark://spark-master:7077
--deploy-mode client
--executor-memory 1G
--driver-memory 1G
--conf spark.sql.hive.metastore.version=2.3.9
--conf spark.sql.uris=thrift://172.18.0.9:9083
--conf spark.sql.hive.metastore.jars=maven
--conf spark.hadoop.hive.metastore.uris=thrift://172.18.0.9:9083
--conf spark.hadoop.fs.s3a.endpoint=http://172.18.0.6:4566
--conf spark.hadoop.fs.s3a.access.key=test
--conf spark.hadoop.fs.s3a.secret.key=test
--conf spark.hadoop.fs.s3a.path.style.access=true
--packages org.apache.hadoop:hadoop-aws:3.3.1,com.amazonaws:aws-java-sdk-bundle:1.11.375
local://opt/spark/jars/spark-hive-thriftserver_2.12-3.5.0.jar
networks:
spark-kafka:
ipv4_address: 172.18.0.11
grafana:
image: grafana/grafana:latest
container_name: grafana
ports:
- "3000:3000"
networks:
spark-kafka:
ipv4_address: 172.18.0.13
prometheus:
image: prom/prometheus:latest
container_name: prometheus
ports:
- "19090:9090"
networks:
spark-kafka:
ipv4_address: 172.18.0.12
volumes:
- ./prometheus/prometheus.yml:/etc/prometheus/prometheus.yml
volumes:
warehouse: