运行 Mesos 集群中的核心转储 docker

Core dumped in running Mesos cluster on docker

我有一张名为 ubuntu_mesos_spark 的 docker 图片。我在上面安装了动物园管理员。我像这样更改“zoo.cfg”文件: 这是 node1(150.20.11.157)

中的“zoo.cfg”
tickTime=2000
initLimit=10
syncLimit=5
clientPort=2187
dataDir=/var/lib/zookeeper
server.1=0.0.0.0:2888:3888
server.2=150.20.11.157:2888:3888
server.3=150.20.11.137:2888:3888

这是node1(150.20.11.134)

中的“zoo.cfg”
tickTime=2000
initLimit=10
syncLimit=5
clientPort=2187
dataDir=/var/lib/zookeeper
server.1=150.20.11.157:2888:3888
server.2=0.0.0.0:2888:3888
server.3=150.20.11.137:2888:3888

这是node1(150.20.11.137)

中的“zoo.cfg”
 tickTime=2000
 initLimit=10
 syncLimit=5
 clientPort=2187
 dataDir=/var/lib/zookeeper
 server.1=150.20.11.157:2888:3888
 server.2=150.20.11.134:2888:3888
 server.3=0.0.0.0:2888:3888

我还在每个节点的“/var/lib/zookeeper”做了一个“myid”文件。例如对于“150.20.11.157”,其在 myid 文件中的 ID 为“1”。 我也在 docker 上安装了 Mesos 和 Spark。我也有这三个节点的 Mesos 集群。我在这个文件上定义了从节点的 IP 地址:“spark/conf/slaves”

150.20.11.134
150.20.11.137

我在“spark/conf/spark-env.sh”中添加了这些行:

export MESOS_NATIVE_JAVA_LIBRARY=/usr/local/lib/libmesos.so
export SPARK_EXECUTOR_URI=/home/spark/program_file/spark-2.3.2-bin- 
hadoop2.7.tgz

此外,我在“~/.bashrc”文件中添加了这些行:

export SPARK_HOME="/home/spark"
PYTHONPATH=$SPARK_HOME/python:$SPARK_HOME/python/lib/py4j-0.10.7- 
src.zip:$PYTHO$
export PYSPARK_HOME=/usr/bin/python3.6
export PYSPARK_DRIVER_PYTHON=python3.6
export ZOO_LOG_DIR=/var/log/zookeeper

我想在“150.20.11.157”中 运行 主密码。我的 docker-compose 是:

 version: '3.7'
 services:
  zookeeper:
  image: ubuntu_mesos_spark
  command: /zookeeper-3.4.12/bin/zkServer.sh start
  environment:
   ZOOKEEPER_SERVER_ID: 1
   ZOOKEEPER_CLIENT_PORT: 2187
   ZOOKEEPER_TICK_TIME: 2000
   ZOOKEEPER_INIT_LIMIT: 10
   ZOOKEEPER_SYNC_LIMIT: 5
   ZOOKEEPER_SERVERS: 
   0.0.0.0:2888:3888;150.20.11.134:2888:3888;150.20.11.137:2888:3888
 network_mode: host
 expose:
  - 2187 
  - 2888
  - 3888
 ports:
  - 2187:2187
  - 2888:2888
  - 3888:3888

master:
image: ubuntu_mesos_spark
command: bash -c "sleep 20; /home/mesos-1.7.0/build/bin/mesos- 
master.sh --ip=150.20.11.157 --work_dir=/var/run/mesos"
restart: always
depends_on:
 - zookeeper
environment:
 - MESOS_HOSTNAME="150.20.11.157,150.20.11.134,150.20.11.137"
 - MESOS_QUORUM=1
 - MESOS_LOG_DIR=/var/log/mesos
expose:
 - 5050
 - 4040
 - 7077
 - 8080
ports:
  - 5050:5050
  - 4040:4040
  - 7077:7077
  - 8080:8080

此外,我 运行 在从属节点上编写此文件:“150.20.11.134,150.20.11.137”:

 version: '3.7'
 services:
  zookeeper:
  image: ubuntu_mesos_spark
  command: /zookeeper-3.4.12/bin/zkServer.sh start
  environment:
   ZOOKEEPER_SERVER_ID: 2
   ZOOKEEPER_CLIENT_PORT: 2187
   ZOOKEEPER_TICK_TIME: 2000
   ZOOKEEPER_INIT_LIMIT: 10
   ZOOKEEPER_SYNC_LIMIT: 5
   ZOOKEEPER_SERVERS: 
   0.0.0.0:2888:3888;150.20.11.134:2888:3888;150.20.11.137:2888:3888
 network_mode: host
 expose:
  - 2187 
  - 2888
  - 3888
 ports:
  - 2187:2187
  - 2888:2888
  - 3888:3888

slave:
image: ubuntu_mesos_spark
command: bash -c "/home/mesos-1.7.0/build/bin/mesos-slave.sh -- 
master=150.20.11.157:5050 --work_dir=/var/run/mesos  
--systemd_enable_support=false"
restart: always
privileged: true
network_mode: host
depends_on:
- zookeeper
environment:
 - MESOS_HOSTNAME="150.20.11.157,150.20.11.134,150.20.11.137"
 - MESOS_MASTER=150.20.11.157
 - MESOS_EXECUTOR_REGISTRATION_TIMEOUT=5mins #also in Dockerfile
 - MESOS_CONTAINERIZERS=docker,mesos
 - MESOS_LOG_DIR=/var/log/mesos
 - MESOS_LOGGING_LEVEL=INFO
expose:
  - 5051
ports:
  - 5051:5051

首先我在Master节点上运行"sudo docker-compose up"。然后我 运行 它在从属节点上。但是我得到这个错误:

在主节点上,错误是:

Starting marzieh-compose_zookeeper_1 ... done

Recreating marzieh-compose_master_1 ... done

Attaching to marzieh-compose_zookeeper_1, marzieh-compose_master_1

zookeeper_1 | ZooKeeper JMX enabled by default

zookeeper_1 | Using config: /zookeeper-3.4.12/bin/../conf/zoo.cfg

zookeeper_1 | Starting zookeeper ... STARTED

marzieh-compose_zookeeper_1 exited with code 0

master_1 | I0123 11:46:59.585522 7 logging.cpp:201] INFO level logging started!

master_1 | I0123 11:46:59.586066 7 main.cpp:242] Build: 2019-01-21 05:16:39 by master_1 | I0123 11:46:59.586097 7 main.cpp:243] Version: 1.7.0

master_1 | F0123 11:46:59.587368 7 process.cpp:1115] Failed to initialize: Failed to bind on 150.20.11.157:5050: Cannot assign requested address

master_1 | * Check failure stack trace: *

master_1 | @ 0x7f505ce54b9c google::LogMessage::Fail()

master_1 | @ 0x7f505ce54ae0 google::LogMessage::SendToLog()

master_1 | @ 0x7f505ce544b2 google::LogMessage::Flush()

master_1 | @ 0x7f505ce57770
google::LogMessageFatal::~LogMessageFatal()

master_1 | @ 0x7f505cd19ed1 process::initialize()

master_1 | @ 0x55fb7b12981a main

master_1 | @ 0x7f504f0d0830 (unknown)

master_1 | @ 0x55fb7b1288b9 _start

master_1 | bash: line 1: 7 Aborted (core dumped) /home/mesos-1.7.0/build/bin/mesos-master.sh --ip=150.20.11.157 --work_dir=/var/run/mesos

此外,当我 运行 "sudo docker-compose up" 在从属节点上时。我收到此错误:

slave_1 | F0123 11:40:06.878793 1 process.cpp:1115] Failed to initialize: Failed to bind on 0.0.0.0:5051: Address already in use

slave_1 | * Check failure stack trace: *

slave_1 | @ 0x7fee9d319b9c google::LogMessage::Fail()

slave_1 | @ 0x7fee9d319ae0 google::LogMessage::SendToLog()

slave_1 | @ 0x7fee9d3194b2 google::LogMessage::Flush()

slave_1 | @ 0x7fee9d31c770
google::LogMessageFatal::~LogMessageFatal()

slave_1 | @ 0x7fee9d1deed1 process::initialize()

slave_1 | @ 0x55e99f661784 main

slave_1 | @ 0x7fee8f595830 (unknown)

slave_1 | @ 0x55e99f65f139 _start

slave_1 | * Aborted at 1548243606 (unix time) try "date -d @1548243606" if you are using GNU date *

slave_1 | PC: @ 0x7fee8f5ac196 (unknown)

slave_1 | * SIGSEGV (@0x0) received by PID 1 (TID 0x7fee9f9f38c0) from PID 0; stack trace: *

slave_1 | @ 0x7fee8fee8390 (unknown)

slave_1 | @ 0x7fee8f5ac196 (unknown)

slave_1 | @ 0x7fee9d32055b google::DumpStackTraceAndExit()

slave_1 | @ 0x7fee9d319b9c google::LogMessage::Fail()

slave_1 | @ 0x7fee9d319ae0 google::LogMessage::SendToLog()

slave_1 | @ 0x7fee9d3194b2 google::LogMessage::Flush()

slave_1 | @ 0x7fee9d31c770 google::LogMessageFatal::~LogMessageFatal()

slave_1 | @ 0x7fee9d1deed1 process::initialize()

slave_1 | @ 0x55e99f661784 main

slave_1 | @ 0x7fee8f595830 (unknown)

slave_1 | @ 0x55e99f65f139 _start

slave_1 | I0123 11:41:07.818897 1 logging.cpp:201] INFO level logging started!

slave_1 | I0123 11:41:07.819437 1 main.cpp:349] Build: 2019-01-21 05:16:39 by

slave_1 | I0123 11:41:07.819470 1 main.cpp:350] Version: 1.7.0

slave_1 | I0123 11:41:07.823354 1 resolver.cpp:69] Creating default secret resolver

slave_1 | E0123 11:41:07.927773 1 main.cpp:483] EXIT with status 1: Failed to create a containerizer: Could not create DockerContainerizer: Failed to create docker: Failed to get docker version: Failed to execute 'docker -H unix:///var/run/docker.sock -- version': exited with status 127

我对此进行了很多搜索,但我无法弄清楚。你能指导我在 docker 上为 运行ning Mesos 和 Spark 集群编写 docker compose 的正确方法吗?

如有任何帮助,我们将不胜感激。

提前致谢。

问题已解决。我改变了 docker 像这样组成和主从 运行 没有问题:

主节点中的

"docker-compose.yaml"如下:

version: '3.7'
services:
zookeeper:
 image: ubuntu_mesos_spark_python3.6_client
 command: /home/zookeeper-3.4.12/bin/zkServer.sh start
 environment:
  ZOOKEEPER_SERVER_ID: 1
  ZOOKEEPER_CLIENT_PORT: 2188
  ZOOKEEPER_TICK_TIME: 2000
  ZOOKEEPER_INIT_LIMIT: 10
  ZOOKEEPER_SYNC_LIMIT: 5
  ZOOKEEPER_SERVERS: 0.0.0.0:2888:3888;150.20.11.157:2888:3888
 network_mode: host
 expose:
  - 2188
  - 2888
  - 3888
 ports:
  - 2188:2188
  - 2888:2888
  - 3888:3888

master:
image: ubuntu_mesos_spark_python3.6_client
command: bash -c "sleep 30; /home/mesos-1.7.0/build/bin/mesos-master.sh 
--ip=150.20.10.136 --work_dir=/var/run/mesos --hostname=x.x.x.x"  ##hostname : 
IP of the master node
restart: always
network_mode: host
depends_on:
 - zookeeper
environment:
- MESOS_HOSTNAME="150.20.11.136"
- MESOS_QUORUM=1
- MESOS_LOG_DIR=/var/log/mesos
expose:
 - 5050
 - 4040
 - 7077
 - 8080
ports:
 - 5050:5050
 - 4040:4040
 - 7077:7077
 - 8080:8080

另外,"docker-compose.yaml"slave节点中的文件是这样的:

 version: '3.7'
 services:
  zookeeper:
   image: ubuntu_mesos_spark_python3.6_client
   command: /home/zookeeper-3.4.12/bin/zkServer.sh start
   environment:
     ZOOKEEPER_SERVER_ID: 2
     ZOOKEEPER_CLIENT_PORT: 2188
     ZOOKEEPER_TICK_TIME: 2000
     ZOOKEEPER_INIT_LIMIT: 10
     ZOOKEEPER_SYNC_LIMIT: 5
     ZOOKEEPER_SERVERS: 150.20.11.136:2888:3888;0.0.0.0:2888:3888
   network_mode: host
   expose:
   - 2188 
   - 2888
   - 3888
   ports:
   - 2188:2188
   - 2888:2888
   - 3888:3888

 slave:
 image: ubuntu_mesos_spark_python3.6_client
 command: bash -c "sleep 30; /home/mesos-1.7.0/build/bin/mesos-slave.sh 
 --master=150.20.11.136:5050 --work_dir=/var/run/mesos  
 --systemd_enable_support=false"
 restart: always
 privileged: true
 network_mode: host
 depends_on:
 - zookeeper
 environment:
 - MESOS_HOSTNAME="150.20.11.157"
 #- MESOS_MASTER=172.28.10.136
 #- MESOS_EXECUTOR_REGISTRATION_TIMEOUT=5mins #also in Dockerfile
 #- MESOS_CONTAINERIZERS=docker,mesos
 - MESOS_LOG_DIR=/var/log/mesos
 - MESOS_LOGGING_LEVEL=INFO
expose:
 - 5051
ports:
 - 5051:5051

然后我运行"docker-compose up"在每个节点和他们运行没有任何问题。