【原创】大数据基础之Mesos（1）简介、安装、使用

Mesos 1.7.1

官方：http://mesos.apache.org/

 

一 简介

Program against your datacenter like it’s a single pool of resources

mesos使数据中心（庞大的服务器集群）看起来像是一个资源（CPU、内存、存储、网络带宽、端口等）池；

Apache Mesos abstracts CPU, memory, storage, and other compute resources away from machines (physical or virtual), enabling fault-tolerant and elastic distributed systems to easily be built and run effectively.

mesos对服务器（物理机或者虚拟机）的资源（CPU、内存、存储、网络带宽、端口等）进行抽象；

What is Mesos? A distributed systems kernel

Mesos is built using the same principles as the Linux kernel, only at a different level of abstraction. The Mesos kernel runs on every machine and provides applications (e.g., Hadoop, Spark, Kafka, Elasticsearch) with API’s for resource management and scheduling across entire datacenter and cloud environments.

mesos使用linux内核相同的原则进行设计和构建，mesos运行在每台服务器上，使得各种应用（hadoop、spark、kafka、es等）可以通过api的方式进行资源管理和调度，无论是在数据中心或者云上；

The above figure shows the main components of Mesos. Mesos consists of a master daemon that manages agent daemons running on each cluster node, and Mesos frameworks that run tasks on these agents.

mesos由master和agent组成，其中agent运行在集群中的每台服务器上；mesos framework（应用，比如hadoop、spark等）会在agent上运行task；

角色

master & agent

The master enables fine-grained sharing of resources (CPU, RAM, …) across frameworks by making them resource offers. Each resource offer contains a list of . The master decides how many resources to offer to each framework according to a given organizational policy, such as fair sharing or strict priority. To support a diverse set of policies, the master employs a modular architecture that makes it easy to add new allocation modules via a plugin mechanism.

master通过resouce offer的方式来实现细粒度的框架间资源共享；每一个resource offer包含一个列表，每个元素看起来是，即某个agent的各项资源的剩余情况；master根据给定的分组策略（比如fair sharing或strict priority）来决定为每个framework提供多少资源；master还提供插件机制来满足定制化需求；

概念

1 framework（scheduler & executor）

A framework running on top of Mesos consists of two components: a scheduler that registers with the master to be offered resources, and an executor process that is launched on agent nodes to run the framework’s tasks. While the master determines how many resources are offered to each framework, the frameworks' schedulers select which of the offered resources to use. When a framework accepts offered resources, it passes to Mesos a description of the tasks it wants to run on them. In turn, Mesos launches the tasks on the corresponding agents.

一个framework运行在mesos之上，有两部分组成：1）scheduler向mesos master注册并接收resource offer；2）executor在mesos agent上启动来运行task；
当scheduler收到resource offer后可以选择使用其中哪些资源（也可以拒绝），如果一些资源被确认使用，scheduler会给mesos发送希望在这些资源上运行的task描述，然后mesos就会在对应的agent上启动task；

2 resource offer

 

To ensure that such failures are handled appropriately, production deployments of Mesos typically use a process supervisor (such as systemd or supervisord) to detect when Mesos processes exit. The supervisor can be configured to restart the failed process automatically and/or to notify the cluster operator to investigate the situation.

二 安装

rpm安装

# yum install libevent libevent-devel cyrus-sasl cyrus-sasl-devel cyrus-sasl-md5 subversion-devel

$ wget http://repos.mesosphere.com/el/7/x86_64/RPMS/mesos-1.7.1-2.0.1.el7.x86_64.rpm
$ rpm -ivh mesos-1.7.1-2.0.1.el7.x86_64.rpm

手工编译安装

1 环境准备

$ wget http://repos.fedorapeople.org/repos/dchen/apache-maven/epel-apache-maven.repo -O /etc/yum.repos.d/epel-apache-maven.repo
$ yum install -y epel-release
$ bash -c 'cat > /etc/yum.repos.d/wandisco-svn.repo <[WANdiscoSVN]
name=WANdisco SVN Repo 1.9
enabled=1
baseurl=http://opensource.wandisco.com/centos/7/svn-1.9/RPMS/\$basearch/
gpgcheck=1
gpgkey=http://opensource.wandisco.com/RPM-GPG-KEY-WANdisco
EOF'
$ yum update systemd
$ yum groupinstall -y "Development Tools"
$ yum install -y apache-maven python-devel python-six python-virtualenv java-1.8.0-openjdk-devel zlib-devel libcurl-devel openssl-devel cyrus-sasl-devel cyrus-sasl-md5 apr-devel subversion-devel apr-util-devel

以上为centos7的准备过程，其他系统详见编译过程参考

2 下载编译安装

$ wget http://www.apache.org/dist/mesos/1.7.1/mesos-1.7.1.tar.gz
$ tar -zxf mesos-1.7.1.tar.gz
$ cd mesos-1.7.1
$ mkdir build
$ cd build
$ ../configure
$ make
$ make check
$ make install

启动

1 单机启动

$ ./bin/mesos-master.sh --ip=127.0.0.1 --work_dir=/var/lib/mesos
$ ./bin/mesos-agent.sh --master=127.0.0.1:5050 --work_dir=/var/lib/mesos

访问 http://127.0.0.1:5050

 

2 集群启动

$ ./bin/mesos-master.sh --work_dir=/var/lib/mesos --zk=zk://host1:port1,host2:port2,.../path
$ ./bin/mesos-agent.sh --work_dir=/var/lib/mesos --master=zk://host1:port1,host2:port2,.../path

如果是rpm安装，可以修改配置文件

$ vi /etc/mesos/zk 

然后通过service启动

# service mesos-master start
# service mesos-slave start

or

# systemctl start mesos-master
# systemctl start mesos-slave

其他配置修改

$ vi /etc/mesos-master/quorum
$ vi /etc/mesos-master/work_dir
$ vi /etc/mesos-slave/work_dir

3 开机启动

$ systemctl enable mesos-master
$ systemctl enable mesos-slave

 

编译过程参考：
http://mesos.apache.org/documentation/latest/building/

启动参数参考：
http://mesos.apache.org/documentation/latest/configuration/master-and-agent/
http://mesos.apache.org/documentation/latest/configuration/master/
http://mesos.apache.org/documentation/latest/configuration/agent/

附：mesos编译过程中 ../configure 这一步有可能报错

checking for python... /data/anaconda2/bin/python
checking for python version... 2.7
checking for python platform... linux2
checking for python script directory... ${prefix}/lib/python2.7/site-packages
checking for python extension module directory... ${exec_prefix}/lib/python2.7/site-packages
checking for python2.7... (cached) /data/anaconda2/bin/python
checking for a version of Python >= '2.1.0'... yes
checking for a version of Python >= '2.6'... yes
checking for the distutils Python package... yes
checking for Python include path... -I/data/anaconda2/include/python2.7
checking for Python library path... -L/data/anaconda2/lib -lpython2.7
checking for Python site-packages path... /data/anaconda2/lib/python2.7/site-packages
checking python extra libraries... -lpthread -ldl -lutil -lm
checking python extra linking flags... -Xlinker -export-dynamic
checking consistency of all components of python development environment... no
configure: error: in `/data/mesos-1.7.0/build':
configure: error:
Could not link test program to Python. Maybe the main Python library has been
installed in some non-standard library path. If so, pass it to configure,
via the LDFLAGS environment variable.
Example: ./configure LDFLAGS="-L/usr/non-standard-path/python/lib"
============================================================================
ERROR!
You probably have to install the development version of the Python package
for your distribution. The exact name of this package varies among them.
============================================================================

See `config.log' for more details

这时优先看有没有安装python-devel，安装之后重试configure

$ yum install python-devel

如果已经安装过python-devel还是报相同的错，极有可能是存在多个python版本导致的（比如系统自带一个python，anaconda自带一个python），这时通过conda安装python-devel后还是报相同的错

$ conda create --name dev python=[version here]

可以通过恢复系统默认python来暂时解决

$ vi ~/.bashrc

安装anaconda后默认会修改当前用户的.bashrc，将以下部分注释即可

# added by Anaconda2 2018.12 installer
# >>> conda init >>>
...
# <<< conda init <<<

三 使用

配置文件

~/.mesos/config.toml

命令

$ mesos help

查看mesos上运行的framework

# mesos ps --master=localhost:5050

停止framework

# curl http://localhost:5050/master/teardown -H 'Content-Type: application/json' -d "frameworkId=2a0fb98b-f8df-44e8-965c-54ad7203fa45-0010" -v

 

转载于:https://www.cnblogs.com/barneywill/p/10324348.html