docker-compose-files/spark_cluster/docker-compose.yml

29 lines
920 B
YAML

# http://github.com/yeasy/docker-compose-files
# This compose file will start spark master node and the worker node.
# All nodes will become a cluster automatically.
# You can run: docker-compose scale worker=2
# After startup, try submit a pi calculation application.
# /urs/local/spark/bin/spark-submit --master spark://master:7077 --class org.apache.spark.examples.SparkPi /usr/local/spark/lib/spark-examples-1.4.0-hadoop2.6.0.jar 1000
master:
image: sequenceiq/spark:1.4.0
hostname: master
ports:
- "4040:4040"
- "8042:8042"
- "7077:7077"
- "8088:8088"
- "8080:8080"
restart: always
#mem_limit: 1024m
command: bash /usr/local/spark/sbin/start-master.sh && ping localhost > /dev/null
worker:
image: sequenceiq/spark:1.4.0
links:
- master:master
expose:
- "8081"
restart: always
command: bash /usr/local/spark/sbin/start-slave.sh spark://master:7077 && ping localhost >/dev/null