Skip to main content Link Menu Expand (external link) Document Search Copy Copied

“如何在服务器上安装并配置 slurm”

Last modified: February 26, 2024

April 1, 2022, Jingyu Liu (6/17 更新到slurm22.05)

这篇 markdown 主要记录在服务器上安装 slurm 的过程以及 (可能) 遇到的问题. 我们将以在 loginNode, bigMem0 和 bigMem1 安装和配置 slurm 作为例子, 其中 loginNode, bigMem0 作为管理节点和计算节点, bigMem1 作为计算节点.

概括来说, 我们的过程主要分为以下几步.

  • 安装 munge.

  • 安装 slurm.

  • 配置 slurm.

  • 启动服务, 检查.

我们将详细说明这些步骤.

STEP 0 关闭 (已有的) slurm 和 munge

在每个节点运行下面的脚本:

sudo systemctl stop slurmd
sudo systemctl stop slurmdbd
sudo systemctl stop slurmctld
sudo systemctl stop munge

STEP 1 安装 munge

你可以在 munge 的官方文档 https://dun.github.io/munge/ 找到 munge 的安装包和安装的详细步骤. munge 需要安装在每个节点上.

主要的命令是

tar xJf munge-0.5.14.tar.xz
cd munge-0.5.14
./configure --prefix=/usr --sysconfdir=/etc --localstatedir=/var --runstatedir=/run
make                     \
make check               \
sudo make install

然后使用 munge -V 来检查是否安装成功, 若成功, 会显示形如 munge-0.5.14 (2020-01-14) 的信息.

你可能在执行第三行 ./configure 时遇到 configure: error: unable to locate cryptographic library, 此时可以运行

yum -y install openssl openssl-devel

来安装所需要的包，注意 yum 源下的 openssl 版本较低.

或者遇到下面的报错

munge: error while loading shared libraries: libmunge.so.2: cannot open shared object file: No such file or directory

此时, 请运行下面的命令.

ldd /usr/sbin/mungekey | grep libmunge
    libmunge.so.2 => not found
sudo ldconfig
ldd /usr/sbin/mungekey | grep libmunge

请对比第一行和第三行出现的结果. 然后重新 sudo make install 即可.

在安装好了之后, 我们在每个节点运行 add_munge_and_slurm_user.sh:

if id munge; then sudo userdel -r -f munge; fi
if id slurm; then sudo userdel -r -f slurm; fi

sudo groupadd -g 966 munge
sudo useradd  -m -c "MUNGE Uid and Gid Emporium" -d /var/lib/munge -u 966 -g munge -s /sbin/nologin munge
sudo groupadd -g 967 slurm
sudo useradd  -m -c "SLURM workload manager" -d /var/lib/slurm -u 967 -g slurm  -s /bin/bash slurm

id munge
id slurm

它的作用是创建 munge 组 和 slurm 组.

然后, 我们在任何一个管理节点 (这里是 bigMem0) 上运行 generate_munge_key.sh:

sudo rngd -r /dev/urandom
sudo /usr/sbin/create-munge-key -r -f

sudo sh -c  "dd if=/dev/urandom bs=1 count=1024 > /etc/munge/munge.key"
sudo chown munge: /etc/munge/munge.key
sudo chmod 400 /etc/munge/munge.key
sudo cp /etc/munge/munge.key ~
sudo chown munge: ~/munge.key

之后, 我们将 munge.key 用 scp 复制到其他每个节点下, 并运行 sync_munge_key.sh (在管理节点也要运行这个):

sudo cp ~/munge.key /etc/munge
sudo chown -R munge: /etc/munge/ /var/log/munge/ /run/munge /var/lib/munge
sudo chmod 0700 /etc/munge/ /var/log/munge/
sudo systemctl enable munge
sudo systemctl restart munge

特别注意, 在执行这一步前, 我们需要保证时钟是同步的, 这可以通过 sudo ntpdate 10.108.68.100 做到, 这里 10.108.68.100 是复旦的内网 ip.

在做完上面这些后, 我们在所有节点运行 test_munge.sh 以检查是否成功, 脚本如下:

echo "Test munge on $(hostname)"
munge -n
munge -n | unmunge

munge -n -t 10 | ssh bigMem0 unmunge
munge -n -t 10 | ssh bigMem1 unmunge
munge -n -t 10 | ssh -p 10888 loginNode unmunge

这里要注意, 我们的最后几行事实上需要遍历所有节点, 请根据实际情况修改.

STEP 2: 安装 MYSQL

为了记录任务所用资源需要一个数据库. 在loginNode上安装MySQL.

wget -c https://dev.mysql.com/get/mysql80-community-release-el7-6.noarch.rpm
sudo yum -y install mysql80-community-release-el7-6.noarch.rpm
sudo rpm --import https://repo.mysql.com/RPM-GPG-KEY-mysql-2022
sudo yum -y install mysql-community-server
sudo systemctl start mysqld.service

使用

sudo grep "password" /var/log/mysqld.log

查看root的初始密码, 然后登录

mysql -u root -p

在mySQL里

CREATE USER 'slurm'@'%' IDENTIFIED WITH mysql_native_password BY 'da4jia1deTeXshi4ti3yu4lao3shi1jiao1de?';
GRANT ALL ON slurm_acct_db.* TO 'slurm'@'%';
CREATE DATABASE slurm_acct_db;
GRANT ALL ON job_comp_db.* TO 'slurm'@'%';
CREATE DATABASE job_comp_db;
SHOW ENGINES;
SHOW VARIABLES LIKE 'innodb_buffer_pool_size';

接下来sudo vim /etc/my.cnf 加入这四行

[mysqld]
innodb_buffer_pool_size=4096M
innodb_log_file_size=64M
innodb_lock_wait_timeout=900

然后 sudo systemctl restart mysqld. 再次打开MySQL看 SHOW VARIABLES LIKE 'innodb_buffer_pool_size'; 会发现这个变量增大了.

STEP 3: 安装dependencies(JSON, HTTP Parser, YAML, JWT)+配置JWT

在所有机器上运行. 其中可能需要预装包, 另外记录. (就装在默认目录下了)

JSON:

module load CMake
git clone --depth 1 --single-branch -b json-c-0.15-20200726 https://github.com/json-c/json-c.git json-c
mkdir json-c-build
cd json-c-build
cmake ../json-c
make -j24
sudo make install
cd ..

HTTP Parser:

git clone --depth 1 --single-branch -b v2.9.4 https://github.com/nodejs/http-parser.git http_parser-c
cd http_parser-c
make -j24
sudo make install
cd ..

YAML Parser:

git clone --depth 1 --single-branch -b 0.2.5 https://github.com/yaml/libyaml libyaml
cd libyaml
./bootstrap
./configure
make -j24
sudo make install
cd ..

JWT:

git clone --depth 1 --single-branch -b v1.12.0 https://github.com/benmcollins/libjwt.git libjwt
cd libjwt
autoreconf --force --install
./configure --prefix=/usr/local
make -j24
sudo make install
sudo ldconfig -v
cd ..

如果configure过程遇到需要jansson的问题, 则应该 sudo yum install jansson jansson-devel.

JWT配置: 在loginNode上

sudo dd if=/dev/random of=/var/spool/slurmctld/jwt_hs256.key bs=32 count=1
sudo chown slurm:slurm /var/spool/slurmctld/jwt_hs256.key
sudo chmod 0600 /var/spool/slurmctld/jwt_hs256.key

并把这个key也复制到计算节点的对应位置并更改权限.

安装其他依赖

sudo yum install mysql-devel pam-devel hdf5 hdf5-devel hwloc hwloc-devel

安装 slurm

下载slurm最新版本22.05.2.

wget https://download.schedmd.com/slurm/slurm-22.05.2.tar.bz2
tmp=$(md5sum slurm-22.05.2.tar.bz2)
if [[ $tmp != a56f520b022dcd7610de4082fcb4ac7a* ]]; then exit 1;  fi
tar --bzip -x -f slurm-22.05.2.tar.bz2
unset tmp
cd slurm-22.05.2

修改src/salloc/salloc.c, 1135行把i>1改成i>=0.

编译安装slurm.

export PKG_CONFIG_PATH=/usr/local/lib/pkgconfig/:$PKG_CONFIG_PATH
./configure --prefix=/usr --sysconfdir=/etc/slurm --enable-pam --with-pam_dir=/lib/slurm/pam --with-http-parser=/usr/local/ --with-yaml=/usr/local/  --with-jwt=/usr/local/ --enable-slurmrestd
make -j24
sudo make install
slurmd -V

注意看./configure的结果, 留意MySQL test program built properly之类的字眼.

安装成功的标志是, 输入 slurmd -V 显示类似于 slurm 22.05.02 的结果.

STEP 3 配置 slurm

slurm.conf (lscpu):

# slurm.conf file generated by configurator.html.
# Put this file on all nodes of your cluster.
# See the slurm.conf man page for more information.
#
ClusterName=clusterHPC
SlurmctldHost=loginNode
SlurmctldHost=bigMem0
#SlurmctldHost=
#
#DisableRootJobs=NO
#EnforcePartLimits=NO
#Epilog=
#EpilogSlurmctld=
#FirstJobId=1
#MaxJobId=67043328
GresTypes=gpu
#GroupUpdateForce=0
#GroupUpdateTime=600
#JobFileAppend=0
#JobRequeue=1
#JobSubmitPlugins=lua
#KillOnBadExit=0
#LaunchType=launch/slurm
#Licenses=foo*4,bar
#MailProg=/bin/mail
#MaxJobCount=10000
#MaxStepCount=40000
#MaxTasksPerNode=512
MpiDefault=none
#MpiParams=ports=#-#
#PluginDir=
#PlugStackConfig=
#PrivateData=jobs
ProctrackType=proctrack/cgroup
#Prolog=/etc/slurm/slurm.prolog
PrologFlags=contain
#PrologSlurmctld=
#PropagatePrioProcess=0
#PropagateResourceLimits=
#PropagateResourceLimitsExcept=
#RebootProgram=
ReturnToService=1
SlurmctldPidFile=/var/run/slurmctld.pid
SlurmctldPort=6817
SlurmdPidFile=/var/run/slurmd.pid
SlurmdPort=6818
SlurmdSpoolDir=/var/spool/slurmd
SlurmUser=slurm
#SlurmdUser=root
#SrunEpilog=
#SrunProlog=
StateSaveLocation=/var/spool/slurmctld
SwitchType=switch/none
#TaskEpilog=
TaskPlugin=task/cgroup,task/affinity
#TaskProlog=/etc/slurm/slurm.prolog
#TopologyPlugin=topology/tree
#TmpFS=/tmp
#TrackWCKey=no
#TreeWidth=
#UnkillableStepProgram=
#UsePAM=0
#
#
# TIMERS
#BatchStartTimeout=10
#CompleteWait=0
#EpilogMsgTime=2000
#GetEnvTimeout=2
#HealthCheckInterval=0
#HealthCheckProgram=
InactiveLimit=300
KillWait=300
#MessageTimeout=10
#ResvOverRun=0
MinJobAge=300
#OverTimeLimit=0
SlurmctldTimeout=300
SlurmdTimeout=300
#UnkillableStepTimeout=60
#VSizeFactor=0
Waittime=300
#
#
# SCHEDULING
#DefMemPerCPU=0
#MaxMemPerCPU=0
#SchedulerTimeSlice=30
SchedulerType=sched/backfill
SelectType=select/cons_tres
SelectTypeParameters=CR_Core
#
#
# JOB PRIORITY
#PriorityFlags=
#PriorityType=priority/basic
#PriorityDecayHalfLife=
#PriorityCalcPeriod=
#PriorityFavorSmall=
#PriorityMaxAge=
#PriorityUsageResetPeriod=
#PriorityWeightAge=
#PriorityWeightFairshare=
#PriorityWeightJobSize=
#PriorityWeightPartition=
#PriorityWeightQOS=
#
# LOGGING AND ACCOUNTING
#AccountingStorageEnforce=0
AccountingStorageHost=loginNode
AccountingStoragePass=/var/run/munge/munge.socket.2
AccountingStoragePort=6819
AccountingStorageType=accounting_storage/slurmdbd
AccountingStorageUser=slurm
# AccountingStoreFlags=job_comment
JobCompHost=loginNode
JobCompLoc=job_comp_db
JobCompPass=da4jia1deTeXshi4ti3yu4lao3shi1jiao1de?
JobCompPort=3306
JobCompType=jobcomp/mysql
JobCompUser=slurm
#JobContainerType=job_container/none
JobAcctGatherFrequency=30
JobAcctGatherType=jobacct_gather/cgroup
SlurmctldDebug=info
SlurmctldLogFile=/var/log/slurmctld.log
SlurmdDebug=info
SlurmdLogFile=/var/log/slurmd.log
#SlurmSchedLogFile=
#SlurmSchedLogLevel=
#DebugFlags=
#
# POWER SAVE SUPPORT FOR IDLE NODES (optional)
#SuspendProgram=
#ResumeProgram=
#SuspendTimeout=
#ResumeTimeout=
#ResumeRate=
#SuspendExcNodes=
#SuspendExcParts=
#SuspendRate=
#SuspendTime=
#
#
# COMPUTE NODES
NodeName=loginNode CPUs=24 RealMemory=128546 Sockets=2 CoresPerSocket=12 ThreadsPerCore=1 State=UNKNOWN Gres=gpu:nvidia_geforce_gtx_1080_ti:2
NodeName=bigMem0 CPUs=64 RealMemory=1030499 Sockets=2 CoresPerSocket=16 ThreadsPerCore=2 State=UNKNOWN Gres=gpu:tesla_t4:4
NodeName=bigMem1 CPUs=64 RealMemory=1030499 Sockets=2 CoresPerSocket=16 ThreadsPerCore=2 State=UNKNOWN Gres=gpu:nvidia_a30:4
NodeName=bigMem2 CPUs=256 RealMemory=1030499 Sockets=2 CoresPerSocket=64 ThreadsPerCore=2 State=UNKNOWN
PartitionName=partition Nodes=bigMem[0-2] MaxTime=7-0 DefaultTime=1-0 Default=YES State=UP

之后, 我们将 slurm.conf 复制到其他每个节点.

cgroup.conf:

###
#
# Slurm cgroup support configuration file
#
# See man slurm.conf and man cgroup.conf for further
# information on cgroup configuration parameters
#--
#CgroupAutomount=yes
CgroupAutomount=yes
CgroupMountpoint=/sys/fs/cgroup
ConstrainCores=yes
ConstrainDevices=yes
ConstrainKmemSpace=no        #avoid known Kernel issues
ConstrainRAMSpace=yes
ConstrainSwapSpace=yes
#ConstrainCores=no
#ConstrainRAMSpace=no

然后再每个节点运行 configure_slurm.sh:

for dir in /var/spool/slurm /var/spool/slurmd /var/spool/slurmctld /var/spool/slurm/slurmctld /etc/slurm
do
    sudo mkdir -p $dir
    sudo chown slurm: $dir
    sudo chmod 755 $dir
done

for file in /var/log/slurmctld.log /var/log/slurmd.log /var/run/slurmctld.pid /var/run/slurmd.pid /var/log/slurmacct.log
do
    sudo touch $file
    sudo chown slurm: $file
done

sudo ldconfig -n /usr/lib/slurm
sudo cp slurm-22.05.2/etc/*.service /etc/systemd/system

在loginNode上/etc/slurm/slurmdbd.conf:

#
# Sample /etc/slurm/slurmdbd.conf
#
ArchiveEvents=yes
ArchiveJobs=yes
ArchiveResvs=yes
ArchiveSteps=no
ArchiveSuspend=no
ArchiveTXN=no
ArchiveUsage=no
#ArchiveScript=/usr/sbin/slurm.dbd.archive
AuthInfo=/var/run/munge/munge.socket.2
AuthType=auth/munge
AuthAltTypes=auth/jwt
AuthAltParameters=jwt_key=/var/spool/slurmctld/jwt_hs256.key
DbdHost=loginNode
DebugLevel=info
PurgeEventAfter=1month
PurgeJobAfter=12month
PurgeResvAfter=1month
PurgeStepAfter=1month
PurgeSuspendAfter=1month
PurgeTXNAfter=12month
PurgeUsageAfter=24month
LogFile=/var/log/slurmdbd.log
PidFile=/var/run/slurmdbd.pid
SlurmUser=slurm
StoragePass=da4jia1deTeXshi4ti3yu4lao3shi1jiao1de?
StorageType=accounting_storage/mysql
StorageUser=slurm

并且

sudo chown slurm: /etc/slurm/slurmdbd.conf
sudo chmod 600 /etc/slurm/slurmdbd.conf

STEP 4 启动服务, 检查

注册cluster:

sacctmgr create cluster clusterHPC

先启动 slurmdbd, 再启动 slurmctld, 最后 slurmd.

做法是, 现在每个节点运行 sudo systemctl daemon-reload, 然后在存储节点运行 sudo systemctl start slurmdbd, 在管理节点运行 sudo systemctl start slurmctld, 最后, 在所有节点运行 sudo systemctl start slurmd. 你可以通过脚本来做这件事.

做完这些后, 如果幸运的话, 我们已经成功了. 下面要做的就是测试是否成功, 你可以通过 sinfo, srun, salloc 来进行检查, 你还可能用到 systemctl status, squeue, scancel. 这些命令的使用方法可以参考 https://docs.hpc.sjtu.edu.cn/job/slurm.html, 事实上, 这是一篇很好的用户手册, 对于管理员, 你可以参考相应的 http://hmli.ustc.edu.cn/doc/linux/slurm-install/index.html.

如果还有预料之外的问题, 你可以前往 /var/log/ 目录下访问相应的日志, 如 slurmd.log 来查看问题.

新机器别忘开防火墙和开机自启（见下）

DEBUG 记录

你可以在 https://slurm.schedmd.com/troubleshoot.html 获得大部分问题的解决方法.

运行 sinfo 提示 slurm_load_partitions: Unable to contact slurm controller (connect failure)

查看 slurmctld.log, 提示

error: Possible corrupt pidfile `/var/run/slurmctld.pid'

因此我们在每个节点手动运行

sudo touch /var/run/slurmctld.pid
sudo chown slurm: /var/run/slurmctld.pid

然后启动服务, 发现仍出现相同错误. 查看 slurmd.log 提示

error: Unable to register: Unable to contact slurm controller (connect failure)

输入 slurmctld -Dvvvvvv 发现错误

(null): _log_init: Unable to open logfile `/var/log/slurmctld.log': Permission denied
slurmctld: error: Unable to open pidfile `/var/run/slurmctld.pid': Permission denied
slurmctld: Not running as root. Can't drop supplementary groups
slurmctld: fatal: Failed to set GID to 967

最后发现是 configure_slurm.sh 写错, 我们已经改正 (你现在看到的是改正后的版本).

SLURMD running but not responding

在 bigMem1 上使用 srun hostname 时一直无法成功, 查看 log 文件发现提示 error: connect io: No route to host, 此时在 bigMem0 上运行 telent bigMem1 6817 发现无法连接.

随后发现是防火墙的问题, 我们在 bigMem0 和 bigMem1 上打开对内网的防火墙, 操作如下 (我们以在 bigMem1 上为例, 对其它节点类似)

sudo systemctl status firewalld
sudo firewall-cmd --get-active-zones
sudo firewall-cmd --list-all --zone=trusted
sudo firewall-cmd --zone=trusted --add-source=192.168.2.0/24 --permanent
sudo systemctl restart firewalld

这样问题就得到了解决.

运行 srun hostname 无反应

输入 slurmd -Dvvvvvv 提示

(null): _log_init: Unable to open logfile `/var/log/slurmd.log': Permission denied
slurmd: error: chmod(/var/spool/slurmd, 0755): Operation not permitted
slurmd: error: Unable to initialize slurmd spooldir
slurmd: error: slurmd initialization failed

还是防火墙的问题.

开机自启

Yuejia Zhang, Apr 12, 2022

sudo systemctl enable slurmd

on three machines.

ubuntu上的slurm安装

步骤基本一致, 但需要注意的是Ubuntu用的是cgroup/v2而我们的slurm用的是cgroup/v1, 所以需要修改kernel的boot参数：

sudo vim /etc/default/grub
GRUB_CMDLINE_LINUX="cgroup_enable=memory swapaccount=1 systemd.unified_cgroup_hierarchy=false systemd.legacy_systemd_cgroup_controller=false"
sudo update-grub
sudo reboot

参考资料(从Debian玩家那里找来的):

  • https://groups.google.com/g/slurm-users/c/EJWn7nC6z7g?pli=1
  • https://www.debian.org/releases/stable/amd64/release-notes/ch-information.en.html#openstack-cgroups

Copyright © 2020-2024 Advancedsolver Admin Team.