Example Build of an ARC/Condor Cluster
Contents
- 1 Introduction
- 2 Important Documents
- 3 Infrastructure/Fabric
- 4 Software Builds and Configuration
- 4.1 Special Software Control Measures
- 4.2 Yum repos
- 4.3 Head Node
- 4.3.1 Head Standard build
- 4.3.2 Head Extra Directories
- 4.3.3 Head Additional Packages
- 4.3.4 Head Files
- 4.3.5 Head Cron jobs
- 4.3.6 Patch to fix additional text in GLUE2ServiceAdminDomainForeignKey
- 4.3.7 Patch for BDII Job Count Breakdown
- 4.3.8 Patch for Extra BDII Fields
- 4.3.9 Patch for Correct Cores Parsing
- 4.3.10 Patch to turn on SSL in APEL
- 4.3.11 Install the vomsdir LSC Files
- 4.3.12 Yaim to make head user accounts, /etc/vomses file and glexec.conf etc.
- 4.3.13 Head Services
- 4.4 Worker Node
- 5 GOCDB Entries and Registration
- 6 Software Tags
- 7 Notes on Accounting, Scaling and Publishing
- 8 Tests and Testing
- 9 Defragmentation for multicore jobs
- 10 Further Work
- 11 Also see
Introduction
A multicore job is one which needs to use more than one processor on a node. Before 2014, multicore jobs were not been used much on the grid infrastructure. This has changed because Atlas and other large users have asked sites to enable multicore on their clusters.
Unfortunately, it is not just a simple task of setting some parameter on the head node and sitting back while jobs arrive. Different grid systems have varying levels of support for multicore, ranging from non-existent to virtually full support.
This report discusses the multicore configuration at Liverpool. We decided to build a cluster using one of the most capable batch systems currently available, called HTCondor (or CONDOR for short). We also decided to front the system with an ARC CE.
I thank Andrew Lahiff at RAL for the initial configuration and many suggestions and help. Some links to some of Andrew's material are in the “See Also” section.
Important Documents
You'll need a copy of the ARC System Admin Manual.
http://www.nordugrid.org/documents/arc-ce-sysadm-guide.pdf
And a copy of the Condor System Admin Manual (this one is for 8.2.10).
research.cs.wisc.edu/htcondor/manual/v8.2/condor-V8_2_10-Manual.pdf
In addition to that, read these notes on Condor/CGROUPS, here:
https://www.gridpp.ac.uk/wiki/Enable_Cgroups_in_HTCondor
And this JURA document will help with the accounting.
http://www.nordugrid.org/documents/jura-tech-doc.pdf
Infrastructure/Fabric
The multicore cluster consists of an SL6 headnode to run the ARC CE and the Condor batch system. The headnode has a dedicated set of 132 workernodes of various types, providing a total of around 1100 single threads of execution, which I shall call unislots, or slots for short.
Head Node
The headnode is a virtual system running on KVM.
| Host Name | OS | CPUs | RAM | Disk Space (mostly /var)
|
|---|---|---|---|---|
| hepgrid2.ph.liv.ac.uk | SL6.4 | 5 | 10 gig | 55 gig |
Worker nodes
This is the output of our Site Layout Database, showing how ARC/Condor cluster is made up. All the nodes currently run SL6.4.
Workernode types
| Node type name | CPUs per node | Slots per node | HS06 per slot | GB per slot | Scale factor |
| BASELINE | 0 | 0 | 10.0 | 0.0 | 0.0 |
| L5420 | 2 | 8 | 8.9 | 2.0 | 0.89 |
| E5620 | 2 | 12 | 10.6325 | 2.0 | 1.0632 |
| X5650 | 2 | 24 | 8.66 | 2.08 | 0.866 |
| E5-2630 | 2 | 23 | 11.28 | 2.17 | 1.128 |
| E5-2630V3 | 2 | 32 | 11.07 | 4.12 | 1.107 |
Rack layout
| Node Set | Node Type | Node Count | CPUs in Node | Slots per Node | HS06 per Slot | HS06 |
| 21 | E5620 | 4 | 2 | 12 | 10.6325 | 510.36 |
| 21X | X5650 | 16 | 2 | 24 | 8.66 | 3325.4399 |
| 22 | E5620 | 20 | 2 | 12 | 10.6325 | 2551.7999 |
| 23p1 | E5620 | 10 | 2 | 12 | 10.6325 | 1275.9 |
| 26 | E5-2630 | 4 | 2 | 23 | 11.28 | 1037.76 |
| 26L | L5420 | 7 | 2 | 8 | 8.9 | 498.4 |
| 26V | E5-2630V3 | 5 | 2 | 32 | 11.07 | 1771.2 |
General cluster properties
| HS06 | 10970.86 |
| Physical CPUs | 132 |
| Logical CPUs (slots) | 1100 |
| Cores | 8.333 |
| Benchmark | 9.974 |
| CE_SI00 | 2493 |
| CPUScalingReferenceSI00 | 2500 |
Software Builds and Configuration
There are a few particulars of the Liverpool site that I want to get out of the way to start with. For the initial installation of an operating system on our head nodes and worker nodes, we use tools developed at Liverpool (BuildTools) based on Kickstart, NFS, TFTP and DHCP. The source (synctool.pl and linktool.pl) can be obtained from sjones@hep.ph.liv.ac.uk. Alternatively, similar functionality is said to exist in the Cobbler suite, which is released as Open Source and some sites have based their initial install on that. Once the OS is on, the first reboot starts Puppet to give a personality to the node. Puppet is becoming something of a de-facto standard in its own right, so I'll use some puppet terminology within this document where some explanation of a particular feature is needed.
Special Software Control Measures
The software for the installation is all contained in various yum repositories. Here at Liverpool, we maintain two mirrored copies of the yum material. One of them, the online repository, is mirrored daily from the Internet. It is not used for any installation. The other copy, termed the local repository, is used to take a snapshot when necessary of the online repository. Installations are done from the local repository. Thus we maintain precise control of the software we use. There is no need to make any further reference to this set-up.
We'll start with the headnode and "work down" so to speak.
Yum repos
This table shows the origin of the software releases via yum repositories.
Head Node
Head Standard build
The basis for the initial build follows the standard model for any grid server node at Liverpool. I won't explain that in detail – each site is likely to have its own standard, which is general to all the components used to build any grid node (such as a CE, ARGUS, BDII, TORQUE etc.) but prior to any middleware. Such a baseline build might include networking, iptables, nagios scripts, ganglia, ssh etc.
Head Extra Directories
I had to make these specific directories myself:
/etc/arc/runtime/ENV /etc/condor/ral /etc/lcmaps/ /root/glitecfg/services /root/scripts /var/spool/arc/debugging /var/spool/arc/grid /var/spool/arc/jobstatus /var/urs
Head Additional Packages
These packages were needed to add the middleware required, i.e. ARC, Condor and ancillary material.
| Package | Description |
|---|---|
| nordugrid-arc-compute-element | The ARC CE Middleware |
| condor | HT Condor, the main batch server package (we are on 8.2.7) |
| apel-client | Accounting, ARC/Condor bypasses the APEL server and goes direct.
|
| ca_policy_igtf-classic | Certificates |
| lcas-plugins-basic | Security |
| lcas-plugins-voms | Security |
| lcas | Security |
| lcmaps | Security |
| lcmaps-plugins-basic | Security |
| lcmaps-plugins-c-pep | Security |
| lcmaps-plugins-verify-proxy | Security |
| lcmaps-plugins-voms | Security
|
| globus-ftp-control | Extra packages for Globus |
| globus-gsi-callback | Extra packages for Globus
|
| VomsSnooper | VOMS Helper, used to set up the LSC (list of Certificates) files |
| glite-yaim-core | Yaim,just use Yaim to make accounts. |
| yum-plugin-priorities.noarch | Helpers for Yum |
| yum-plugin-protectbase.noarch | Helpers for Yum |
| yum-utils | Helpers for Yum |
Head Files
The following set of files were additionally installed. Some of them are empty. Some of them can be used as they are. Others have to be edited to fit your site. Any that is a script must have executable permissions (e.g. 755).
- File: /etc/arc.conf
- Notes: The main configuration file of the ARC CE. It adds support for scaling factors, APEL reporting, ARGUS Mapping, BDII publishing (power and scaling), multiple VO support, and default limits.
- Customise: Yes. You'll need to edit it it to suit your site.
- Content:
[common] debug="1" x509_user_key="/etc/grid-security/hostkey.pem" x509_user_cert="/etc/grid-security/hostcert.pem" x509_cert_dir="/etc/grid-security/certificates" gridmap="/etc/grid-security/grid-mapfile" lrms="condor" hostname="hepgrid2.ph.liv.ac.uk" [grid-manager] debug="3" logsize=30000000 20 enable_emies_interface="yes" arex_mount_point="https://hepgrid2.ph.liv.ac.uk:443/arex" user="root" controldir="/var/spool/arc/jobstatus" sessiondir="/var/spool/arc/grid" runtimedir="/etc/arc/runtime" logfile="/var/log/arc/grid-manager.log" pidfile="/var/run/grid-manager.pid" joblog="/var/log/arc/gm-jobs.log" shared_filesystem="no" authplugin="PREPARING timeout=60,onfailure=pass,onsuccess=pass /usr/local/bin/default_rte_plugin.py %S %C %I ENV/GLITE" authplugin="FINISHING timeout=60,onfailure=pass,onsuccess=pass /usr/local/bin/scaling_factors_plugin.py %S %C %I" # This copies the files containing useful output from completed jobs into a directory /var/spool/arc/debugging #authplugin="FINISHED timeout=60,onfailure=pass,onsuccess=pass /usr/local/bin/debugging_rte_plugin.py %S %C %I" mail="root@hep.ph.liv.ac.uk" jobreport="APEL:http://mq.cro-ngi.hr:6162" jobreport_options="urbatch:1000,archiving:/var/urs,topic:/queue/global.accounting.cpu.central,gocdb_name:UKI-NORTHGRID-LIV-HEP,use_ssl:true,Network:PROD,benchmark_type:Si2k,benchmark_value:2500.00" jobreport_credentials="/etc/grid-security/hostkey.pem /etc/grid-security/hostcert.pem /etc/grid-security/certificates" jobreport_publisher="jura_dummy" # Disable (1 month !) jobreport_period=2500000 [gridftpd] debug="1" logsize=30000000 20 user="root" logfile="/var/log/arc/gridftpd.log" pidfile="/var/run/gridftpd.pid" port="2811" allowunknown="yes" globus_tcp_port_range="20000,24999" globus_udp_port_range="20000,24999" maxconnections="500" # # Notes: # # The first two args are implicitly given to arc-lcmaps, and are # argv[1] - the subject/DN # argv[2] - the proxy file # # The remain attributes are explicit, after the "lcmaps" field in the examples below. # argv[3] - lcmaps_library # argv[4] - lcmaps_dir # argv[5] - lcmaps_db_file # argv[6 etc.] - policynames # # lcmaps_dir and/or lcmaps_db_file may be '*', in which case they are # fully truncated (placeholders). # # Some logic is applied. If the lcmaps_library is not specified with a # full path, it is given the path of the lcmaps_dir. We have to assume that # the lcmaps_dir is a poor name for that field, as discussed in the following # examples. # # Examples: # In this example, used at RAL, the liblcmaps.so is given no # path, so it is assumes to exist in /usr/lib64 (note the poorly # named field - the lcmaps_dir is populated by a library path.) # # Fieldnames: lcmaps_lib lcmaps_dir lcmaps_db_file policy #unixmap="* lcmaps liblcmaps.so /usr/lib64 /usr/etc/lcmaps/lcmaps.db arc" # # In the next example, used at Liverpool, lcmaps_lib is fully qualified. Thus # the lcmaps_dir is not used (although is does set the LCMAPS_DIR env var). # In this case, the lcmaps_dir really does contain the lcmaps dir location. # # Fieldnames: lcmaps_lib lcmaps_dir lcmaps_db_file policy unixmap="* lcmaps /usr/lib64/liblcmaps.so /etc/lcmaps lcmaps.db arc" unixmap="arcfailnonexistentaccount:arcfailnonexistentaccount all" [gridftpd/jobs] debug="1" path="/jobs" plugin="jobplugin.so" allownew="yes" [infosys] debug="1" user="root" overwrite_config="yes" port="2135" registrationlog="/var/log/arc/inforegistration.log" providerlog="/var/log/arc/infoprovider.log" provider_loglevel="1" infosys_glue12="enable" infosys_glue2_ldap="enable" [infosys/glue12] debug="1" resource_location="Liverpool, UK" resource_longitude="-2.964" resource_latitude="53.4035" glue_site_web="http://www.gridpp.ac.uk/northgrid/liverpool" glue_site_unique_id="UKI-NORTHGRID-LIV-HEP" cpu_scaling_reference_si00="2493" processor_other_description="Cores=8.333,Benchmark=9.974-HEP-SPEC06" provide_glue_site_info="false" [infosys/admindomain] debug="1" name="UKI-NORTHGRID-LIV-HEP" # infosys view of the computing cluster (service) [cluster] debug="1" name="hepgrid2.ph.liv.ac.uk" localse="hepgrid11.ph.liv.ac.uk" cluster_alias="hepgrid2 (UKI-NORTHGRID-LIV-HEP)" comment="UKI-NORTHGRID-LIV-HEP Main Grid Cluster" homogeneity="True" nodecpu="Intel(R) Xeon(R) CPU L5420 @ 2.50GHz" architecture="x86_64" nodeaccess="inbound" nodeaccess="outbound" #opsys="SL64" opsys="ScientificSL : 6.4 : Carbon" nodememory="3000" authorizedvo="alice" authorizedvo="atlas" authorizedvo="biomed" authorizedvo="calice" authorizedvo="camont" authorizedvo="cdf" authorizedvo="cernatschool.org" authorizedvo="cms" authorizedvo="dteam" authorizedvo="dzero" authorizedvo="epic.vo.gridpp.ac.uk" authorizedvo="esr" authorizedvo="fusion" authorizedvo="geant4" authorizedvo="gridpp" authorizedvo="hyperk.org" authorizedvo="ilc" authorizedvo="lhcb" #authorizedvo="lz" authorizedvo="lsst" authorizedvo="magic" authorizedvo="mice" authorizedvo="na62.vo.gridpp.ac.uk" authorizedvo="neiss.org.uk" authorizedvo="ops" authorizedvo="pheno" authorizedvo="planck" authorizedvo="snoplus.snolab.ca" authorizedvo="t2k.org" authorizedvo="vo.northgrid.ac.uk" authorizedvo="zeus" benchmark="SPECINT2000 2493" benchmark="SPECFP2000 2493" totalcpus=1100 [queue/grid] debug="1" name="grid" homogeneity="True" comment="Default queue" nodecpu="adotf" architecture="adotf" defaultmemory=3000 maxrunning=1400 totalcpus=1100 maxuserrun=1400 maxqueuable=2800 #maxcputime=2880 #maxwalltime=2880 MainMemorySize="16384" OSFamily="linux"
- File: /etc/arc/runtime/ENV/GLITE
- Notes: The GLITE runtime environment.
- Content:
#!/bin/sh
export GLOBUS_LOCATION=/usr
if [ "x$1" = "x0" ]; then
# Set environment variable containing queue name
env_idx=0
env_var="joboption_env_$env_idx"
while [ -n "${!env_var}" ]; do
env_idx=$((env_idx+1))
env_var="joboption_env_$env_idx"
done
eval joboption_env_$env_idx="NORDUGRID_ARC_QUEUE=$joboption_queue"
export RUNTIME_ENABLE_MULTICORE_SCRATCH=1
fi
if [ "x$1" = "x1" ]; then
# Set grid environment
if [ -e /etc/profile.d/env.sh ]; then
source /etc/profile.d/env.sh
fi
if [ -e /etc/profile.d/zz-env.sh ]; then
source /etc/profile.d/zz-env.sh
fi
export LD_LIBRARY_PATH=/opt/xrootd/lib
# Set basic environment variables
export GLOBUS_LOCATION=/usr
HOME=`pwd`
export HOME
USER=`whoami`
export USER
HOSTNAME=`hostname -f`
export HOSTNAME
fi
export DPM_HOST=hepgrid11.ph.liv.ac.uk
export DPNS_HOST=hepgrid11.ph.liv.ac.uk
export GLEXEC_LOCATION=/usr
export RFIO_PORT_RANGE=20000,25000
export SITE_GIIS_URL=hepgrid4.ph.liv.ac.uk
export SITE_NAME=UKI-NORTHGRID-LIV-HEP
export MYPROXY_SERVER=lcgrbp01.gridpp.rl.ac.uk
export VO_ALICE_DEFAULT_SE=hepgrid11.ph.liv.ac.uk
export VO_ALICE_SW_DIR=/opt/exp_soft_sl5/alice
export VO_ATLAS_DEFAULT_SE=hepgrid11.ph.liv.ac.uk
export VO_ATLAS_SW_DIR=/cvmfs/atlas.cern.ch/repo/sw
export VO_BIOMED_DEFAULT_SE=hepgrid11.ph.liv.ac.uk
export VO_BIOMED_SW_DIR=/opt/exp_soft_sl5/biomed
export VO_CALICE_DEFAULT_SE=hepgrid11.ph.liv.ac.uk
export VO_CALICE_SW_DIR=/opt/exp_soft_sl5/calice
export VO_CAMONT_DEFAULT_SE=hepgrid11.ph.liv.ac.uk
export VO_CAMONT_SW_DIR=/opt/exp_soft_sl5/camont
export VO_CDF_DEFAULT_SE=hepgrid11.ph.liv.ac.uk
export VO_CDF_SW_DIR=/opt/exp_soft_sl5/cdf
export VO_CERNATSCHOOL_ORG_DEFAULT_SE=hepgrid11.ph.liv.ac.uk
export VO_CERNATSCHOOL_ORG_SW_DIR=/opt/exp_soft_sl5/cernatschool
export VO_CMS_DEFAULT_SE=hepgrid11.ph.liv.ac.uk
export VO_CMS_SW_DIR=/opt/exp_soft_sl5/cms
export VO_DTEAM_DEFAULT_SE=hepgrid11.ph.liv.ac.uk
export VO_DTEAM_SW_DIR=/opt/exp_soft_sl5/dteam
export VO_DZERO_DEFAULT_SE=hepgrid11.ph.liv.ac.uk
export VO_DZERO_SW_DIR=/opt/exp_soft_sl5/dzero
export VO_EPIC_VO_GRIDPP_AC_UK_DEFAULT_SE=hepgrid11.ph.liv.ac.uk
export VO_EPIC_VO_GRIDPP_AC_UK_SW_DIR=/opt/exp_soft_sl5/epic
export VO_ESR_DEFAULT_SE=hepgrid11.ph.liv.ac.uk
export VO_ESR_SW_DIR=/opt/exp_soft_sl5/esr
export VO_FUSION_DEFAULT_SE=hepgrid11.ph.liv.ac.uk
export VO_FUSION_SW_DIR=/opt/exp_soft_sl5/fusion
export VO_GEANT4_DEFAULT_SE=hepgrid11.ph.liv.ac.uk
export VO_GEANT4_SW_DIR=/opt/exp_soft_sl5/geant4
export VO_GRIDPP_DEFAULT_SE=hepgrid11.ph.liv.ac.uk
export VO_GRIDPP_SW_DIR=/opt/exp_soft_sl5/gridpp
export VO_HYPERK_ORG_DEFAULT_SE=hepgrid11.ph.liv.ac.uk
export VO_HYPERK_ORG_SW_DIR=/cvmfs/hyperk.egi.eu
export VO_ILC_DEFAULT_SE=hepgrid11.ph.liv.ac.uk
export VO_ILC_SW_DIR=/cvmfs/ilc.desy.de
export VO_LHCB_DEFAULT_SE=hepgrid11.ph.liv.ac.uk
export VO_LHCB_SW_DIR=/cvmfs/lhcb.cern.ch
export VO_LZ_DEFAULT_SE=hepgrid11.ph.liv.ac.uk
export VO_LZ_SW_DIR=/opt/exp_soft_sl5/lsst
export VO_LSST_DEFAULT_SE=hepgrid11.ph.liv.ac.uk
export VO_LSST_SW_DIR=/opt/exp_soft_sl5/lsst
export VO_MAGIC_DEFAULT_SE=hepgrid11.ph.liv.ac.uk
export VO_MAGIC_SW_DIR=/opt/exp_soft_sl5/magic
export VO_MICE_DEFAULT_SE=hepgrid11.ph.liv.ac.uk
export VO_MICE_SW_DIR=/cvmfs/mice.egi.eu
export VO_NA62_VO_GRIDPP_AC_UK_DEFAULT_SE=hepgrid11.ph.liv.ac.uk
export VO_NA62_VO_GRIDPP_AC_UK_SW_DIR=/cvmfs/na62.cern.ch
export VO_NEISS_ORG_UK_DEFAULT_SE=hepgrid11.ph.liv.ac.uk
export VO_NEISS_ORG_UK_SW_DIR=/opt/exp_soft_sl5/neiss
export VO_OPS_DEFAULT_SE=hepgrid11.ph.liv.ac.uk
export VO_OPS_SW_DIR=/opt/exp_soft_sl5/ops
export VO_PHENO_DEFAULT_SE=hepgrid11.ph.liv.ac.uk
export VO_PHENO_SW_DIR=/opt/exp_soft_sl5/pheno
export VO_PLANCK_DEFAULT_SE=hepgrid11.ph.liv.ac.uk
export VO_PLANCK_SW_DIR=/opt/exp_soft_sl5/planck
export VO_SNOPLUS_SNOLAB_CA_DEFAULT_SE=hepgrid11.ph.liv.ac.uk
export VO_SNOPLUS_SNOLAB_CA_SW_DIR=/cvmfs/snoplus.egi.eu
export VO_T2K_ORG_DEFAULT_SE=hepgrid11.ph.liv.ac.uk
export VO_T2K_ORG_SW_DIR=/cvmfs/t2k.egi.eu
export VO_VO_NORTHGRID_AC_UK_DEFAULT_SE=hepgrid11.ph.liv.ac.uk
export VO_VO_NORTHGRID_AC_UK_SW_DIR=/opt/exp_soft_sl5/northgrid
export VO_ZEUS_DEFAULT_SE=hepgrid11.ph.liv.ac.uk
export VO_ZEUS_SW_DIR=/opt/exp_soft_sl5/zeus
export RUCIO_HOME=/cvmfs/atlas.cern.ch/repo/sw/ddm/rucio-clients/0.1.12
export RUCIO_AUTH_TYPE=x509_proxy
export LCG_GFAL_INFOSYS="lcg-bdii.gridpp.ac.uk:2170,topbdii.grid.hep.ph.ic.ac.uk:2170"
# Fix to circumvent Condor Globus Libraries
# (i.e. this error: lcg-cr: /usr/lib64/condor/libglobus_common.so.0: no version information available (required by /usr/lib64/libcgsi_plugin.so.1)
export LD_LIBRARY_PATH=/usr/lib64/:$LD_LIBRARY_PATH
- File: /etc/condor/config.d/14accounting-groups-map.config
- Notes: Implements accounting groups, so that fairshares can be used that refer to whole groups of users, instead of individual ones.
- Customise: Yes. You'll need to edit it to suit your site.
- Content:
# Liverpool Tier-2 HTCondor configuration: accounting groups
# Primary group, assign individual test submitters into the HIGHPRIO group,
# else just assign job into primary group of its VO
LivAcctGroup = strcat("group_",toUpper( ifThenElse(regexp("sgmatl34",Owner),"highprio", ifThenElse(regexp("sgmops11",Owner),"highprio", ifThenElse(regexp("^alice", x509UserProxyVOName), "alice", ifThenElse(regexp("^atlas", x509UserProxyVOName), "atlas", ifThenElse(regexp("^biomed", x509UserProxyVOName), "biomed", ifThenElse(regexp("^calice", x509UserProxyVOName), "calice", ifThenElse(regexp("^camont", x509UserProxyVOName), "camont", ifThenElse(regexp("^cdf", x509UserProxyVOName), "cdf", ifThenElse(regexp("^cernatschool.org", x509UserProxyVOName), "cernatschool_org", ifThenElse(regexp("^cms", x509UserProxyVOName), "cms", ifThenElse(regexp("^dteam", x509UserProxyVOName), "dteam", ifThenElse(regexp("^dzero", x509UserProxyVOName), "dzero", ifThenElse(regexp("^epic.vo.gridpp.ac.uk", x509UserProxyVOName), "epic_vo_gridpp_ac_uk", ifThenElse(regexp("^esr", x509UserProxyVOName), "esr", ifThenElse(regexp("^fusion", x509UserProxyVOName), "fusion", ifThenElse(regexp("^geant4", x509UserProxyVOName), "geant4", ifThenElse(regexp("^gridpp", x509UserProxyVOName), "gridpp", ifThenElse(regexp("^hyperk.org", x509UserProxyVOName), "hyperk_org", ifThenElse(regexp("^ilc", x509UserProxyVOName), "ilc", ifThenElse(regexp("^lhcb", x509UserProxyVOName), "lhcb", ifThenElse(regexp("^lsst", x509UserProxyVOName), "lsst", ifThenElse(regexp("^magic", x509UserProxyVOName), "magic", ifThenElse(regexp("^mice", x509UserProxyVOName), "mice", ifThenElse(regexp("^na62.vo.gridpp.ac.uk", x509UserProxyVOName), "na62_vo_gridpp_ac_uk", ifThenElse(regexp("^neiss.org.uk", x509UserProxyVOName), "neiss_org_uk", ifThenElse(regexp("^ops", x509UserProxyVOName), "ops", ifThenElse(regexp("^pheno", x509UserProxyVOName), "pheno", ifThenElse(regexp("^planck", x509UserProxyVOName), "planck", ifThenElse(regexp("^snoplus.snolab.ca", x509UserProxyVOName), "snoplus_snolab_ca", ifThenElse(regexp("^t2k.org", x509UserProxyVOName), "t2k_org", ifThenElse(regexp("^vo.northgrid.ac.uk", x509UserProxyVOName), "vo_northgrid_ac_uk", ifThenElse(regexp("^zeus", x509UserProxyVOName), "zeus","nonefound"))))))))))))))))))))))))))))))))))
# Subgroup
# For the subgroup, just assign job to the group of the owner (i.e. owner name less all those digits at the end).
# Also show whether multi or single core.
LivAcctSubGroup = strcat(regexps("([A-Za-z0-9]+[A-Za-z])\d+", Owner, "\1"),ifThenElse(RequestCpus > 1,"_mcore","_score"))
# Now build up the whole accounting group
AccountingGroup = strcat(LivAcctGroup, ".", LivAcctSubGroup, ".", Owner)
# Add these ClassAd specifications to the submission expressions
SUBMIT_EXPRS = $(SUBMIT_EXPRS) LivAcctGroup, LivAcctSubGroup, AccountingGroup
- File: /etc/condor/config.d/11fairshares.config
- Notes: Implements fair share settings, relying on groups of users.
- Customise: Yes. You'll need to edit it to suit your site.
- Content:
# Liverpool Tier-2 HTCondor configuration: fairshares # use this to stop jobs from starting. # CONCURRENCY_LIMIT_DEFAULT = 0 # Half-life of user priorities PRIORITY_HALFLIFE = 259200 # Handle surplus GROUP_ACCEPT_SURPLUS = True GROUP_AUTOREGROUP = True # Weight slots using CPUs #NEGOTIATOR_USE_SLOT_WEIGHTS = True # See: https://condor-wiki.cs.wisc.edu/index.cgi/tktview?tn=3271 NEGOTIATOR_ALLOW_QUOTA_OVERSUBSCRIPTION = False # Calculate the surplus allocated to each group correctly NEGOTIATOR_USE_WEIGHTED_DEMAND = True GROUP_NAMES = \ group_HIGHPRIO, \ group_ALICE, \ group_ATLAS, \ group_BIOMED, \ group_CALICE, \ group_CAMONT, \ group_CDF, \ group_LSST, \ group_CERNATSCHOOL_ORG, \ group_CMS, \ group_DTEAM, \ group_DZERO, \ group_EPIC_VO_GRIDPP_AC_UK, \ group_ESR, \ group_FUSION, \ group_GEANT4, \ group_GRIDPP, \ group_HYPERK_ORG, \ group_ILC, \ group_LHCB, \ group_MAGIC, \ group_MICE, \ group_NA62_VO_GRIDPP_AC_UK, \ group_NEISS_ORG_UK, \ group_OPS, \ group_PHENO, \ group_PLANCK, \ group_LZ, \ group_SNOPLUS_SNOLAB_CA, \ group_T2K_ORG, \ group_VO_NORTHGRID_AC_UK, \ group_VO_SIXT_CERN_CH, \ group_ZEUS GROUP_QUOTA_DYNAMIC_group_HIGHPRIO = 0.05 GROUP_QUOTA_DYNAMIC_group_ALICE = 0.05 GROUP_QUOTA_DYNAMIC_group_ATLAS = 0.65 GROUP_QUOTA_DYNAMIC_group_BIOMED = 0.00806452 GROUP_QUOTA_DYNAMIC_group_CALICE = 0.00806452 GROUP_QUOTA_DYNAMIC_group_CAMONT = 0.00806452 GROUP_QUOTA_DYNAMIC_group_CDF = 0.00806452 GROUP_QUOTA_DYNAMIC_group_LSST = 0.00806452 GROUP_QUOTA_DYNAMIC_group_CERNATSCHOOL_ORG = 0.00806452 GROUP_QUOTA_DYNAMIC_group_CMS = 0.00806452 GROUP_QUOTA_DYNAMIC_group_DTEAM = 0.00806452 GROUP_QUOTA_DYNAMIC_group_DZERO = 0.00806452 GROUP_QUOTA_DYNAMIC_group_EPIC_VO_GRIDPP_AC_UK = 0.00806452 GROUP_QUOTA_DYNAMIC_group_ESR = 0.00806452 GROUP_QUOTA_DYNAMIC_group_FUSION = 0.00806452 GROUP_QUOTA_DYNAMIC_group_GEANT4 = 0.00806452 GROUP_QUOTA_DYNAMIC_group_GRIDPP = 0.00806452 GROUP_QUOTA_DYNAMIC_group_HYPERK_ORG = 0.00806452 GROUP_QUOTA_DYNAMIC_group_ILC = 0.00806452 GROUP_QUOTA_DYNAMIC_group_LHCB = 0.20 GROUP_QUOTA_DYNAMIC_group_MAGIC = 0.00806452 GROUP_QUOTA_DYNAMIC_group_MICE = 0.00806452 GROUP_QUOTA_DYNAMIC_group_NA62_VO_GRIDPP_AC_UK = 0.00806452 GROUP_QUOTA_DYNAMIC_group_NEISS_ORG_UK = 0.00806452 GROUP_QUOTA_DYNAMIC_group_OPS = 0.00806452 GROUP_QUOTA_DYNAMIC_group_PHENO = 0.00806452 GROUP_QUOTA_DYNAMIC_group_PLANCK = 0.00806452 GROUP_QUOTA_DYNAMIC_group_LZ = 0.01 GROUP_QUOTA_DYNAMIC_group_SNOPLUS_SNOLAB_CA = 0.00806452 GROUP_QUOTA_DYNAMIC_group_T2K_ORG = 0.00806452 GROUP_QUOTA_DYNAMIC_group_VO_NORTHGRID_AC_UK = 0.00806452 GROUP_QUOTA_DYNAMIC_group_VO_SIXT_CERN_CH = 0.00806452 GROUP_QUOTA_DYNAMIC_group_ZEUS = 0.00806452 DEFAULT_PRIO_FACTOR = 5000.00 GROUP_PRIO_FACTOR_group_HIGHPRIO = 1000.0 GROUP_PRIO_FACTOR_group_ALICE = 1000.0 GROUP_PRIO_FACTOR_group_ATLAS = 1000.0 GROUP_PRIO_FACTOR_group_BIOMED = 1000.0 GROUP_PRIO_FACTOR_group_CALICE = 1000.0 GROUP_PRIO_FACTOR_group_CAMONT = 1000.0 GROUP_PRIO_FACTOR_group_CDF = 1000.0 GROUP_PRIO_FACTOR_group_LSST = 1000.0 GROUP_PRIO_FACTOR_group_CERNATSCHOOL_ORG = 1000.0 GROUP_PRIO_FACTOR_group_CMS = 1000.0 GROUP_PRIO_FACTOR_group_DTEAM = 1000.0 GROUP_PRIO_FACTOR_group_DZERO = 1000.0 GROUP_PRIO_FACTOR_group_EPIC_VO_GRIDPP_AC_UK = 1000.0 GROUP_PRIO_FACTOR_group_ESR = 1000.0 GROUP_PRIO_FACTOR_group_FUSION = 1000.0 GROUP_PRIO_FACTOR_group_GEANT4 = 1000.0 GROUP_PRIO_FACTOR_group_GRIDPP = 1000.0 GROUP_PRIO_FACTOR_group_HYPERK_ORG = 1000.0 GROUP_PRIO_FACTOR_group_ILC = 1000.0 GROUP_PRIO_FACTOR_group_LHCB = 1000.0 GROUP_PRIO_FACTOR_group_MAGIC = 1000.0 GROUP_PRIO_FACTOR_group_MICE = 1000.0 GROUP_PRIO_FACTOR_group_NA62_VO_GRIDPP_AC_UK = 1000.0 GROUP_PRIO_FACTOR_group_NEISS_ORG_UK = 1000.0 GROUP_PRIO_FACTOR_group_OPS = 1000.0 GROUP_PRIO_FACTOR_group_PHENO = 1000.0 GROUP_PRIO_FACTOR_group_PLANCK = 1000.0 GROUP_PRIO_FACTOR_group_LZ = 10000.00 GROUP_PRIO_FACTOR_group_SNOPLUS_SNOLAB_CA = 1000.0 GROUP_PRIO_FACTOR_group_T2K_ORG = 1000.0 GROUP_PRIO_FACTOR_group_VO_NORTHGRID_AC_UK = 1000.0 GROUP_PRIO_FACTOR_group_VO_SIXT_CERN_CH = 1000.0 GROUP_PRIO_FACTOR_group_ZEUS = 1000.0 # Change the order in which the negotiator considers groups: (1) high priority groups used for # SUM tests etc, (2) multicore groups ordered by how far below their quota each group is, # (3) single core groups ordered by how far below their quota each group is GROUP_SORT_EXPR = ifThenElse(AccountingGroup=?="<none>", 3.4e+38, \ ifThenElse(AccountingGroup=?="group_HIGHPRIO", -23, \ ifThenElse(AccountingGroup=?="group_DTEAM", -18, \ ifThenElse(AccountingGroup=?="group_OPS", -17, \ ifThenElse(regexp("mcore",AccountingGroup),ifThenElse(GroupQuota > 0,-2+GroupResourcesInUse/GroupQuota,-1), \ ifThenElse(GroupQuota > 0, GroupResourcesInUse/GroupQuota, 3.3e+38))))))
- File: /etc/condor/pool_password
- Notes: Will have its own section (TBD)
- Customise: Yes.
- Content:
Password Authentication The password method provides mutual authentication through the use of a shared secret. This is often a good choice when strong security is desired, but an existing Kerberos or X.509 infrastructure is not in place. Password authentication is available on both Unix andWindows. It currently can only be used for daemon -to-daemon authentication. The shared secret in this context is referred to as the pool password. Before a daemon can use password authentication, the pool password must be stored on the daemon's local machine. On Unix, the password will be placed in a file defined by the configuration variable SEC_PASSWORD_FILE. This file will be accessible only by the UID that HTCondor is started as. OnWindows, the same secure password store that is used for user passwords will be used for the pool password (see section 7.2.3). Under Unix, the password file can be generated by using the following command to write directly to the password file: condor_store_cred -f /path/to/password/file
- File: /etc/condor/condor_config.local
- Notes: The main client CONDOR configuration custom file.
- Customise: Yes. You'll need to edit it to suit your site.
- Content:
## What machine is your central manager? CONDOR_HOST = $(FULL_HOSTNAME) ## Pool's short description COLLECTOR_NAME = Condor at $(FULL_HOSTNAME) ## When is this machine willing to start a job? START = FALSE ## When to suspend a job? SUSPEND = FALSE ## When to nicely stop a job? # When a job is running and the PREEMPT expression evaluates to True, the # condor_startd will evict the job. The PREEMPT expression s hould reflect the # requirements under which the machine owner will not permit a job to continue to run. # For example, a policy to evict a currently running job when a key is hit or when # it is the 9:00am work arrival time, would be expressed in the PREEMPT expression # and enforced by the condor_startd. PREEMPT = FALSE # If there is a job from a higher priority user sitting idle, the # condor_negotiator daemon may evict a currently running job submitted # from a lower priority user if PREEMPTION_REQUIREMENTS is True. PREEMPTION_REQUIREMENTS = FALSE # No job has pref over any other #RANK = FALSE ## When to instantaneously kill a preempting job ## (e.g. if a job is in the pre-empting stage for too long) KILL = FALSE ## This macro determines what daemons the condor_master will start and keep its watchful eyes on. ## The list is a comma or space separated list of subsystem names DAEMON_LIST = COLLECTOR, MASTER, NEGOTIATOR, SCHEDD, STARTD ####################################### # Andrew Lahiff's scaling MachineRalScaling = "$$([ifThenElse(isUndefined(RalScaling), 1.00, RalScaling)])" MachineRalNodeLabel = "$$([ifThenElse(isUndefined(RalNodeLabel), 1.00, RalNodeLabel)])" SUBMIT_EXPRS = $(SUBMIT_EXPRS) MachineRalScaling MachineRalNodeLabel ####################################### # Andrew Lahiff's security ALLOW_WRITE = UID_DOMAIN = ph.liv.ac.uk CENTRAL_MANAGER1 = hepgrid2.ph.liv.ac.uk COLLECTOR_HOST = $(CENTRAL_MANAGER1) # Central managers CMS = condor_pool@$(UID_DOMAIN)/hepgrid2.ph.liv.ac.uk # CEs CES = condor_pool@$(UID_DOMAIN)/hepgrid2.ph.liv.ac.uk # Worker nodes WNS = condor_pool@$(UID_DOMAIN)/192.168.* # Users USERS = *@$(UID_DOMAIN) USERS = * # Required for HA HOSTALLOW_NEGOTIATOR = $(COLLECTOR_HOST) HOSTALLOW_ADMINISTRATOR = $(COLLECTOR_HOST) HOSTALLOW_NEGOTIATOR_SCHEDD = $(COLLECTOR_HOST) # Authorization HOSTALLOW_WRITE = ALLOW_READ = */*.ph.liv.ac.uk NEGOTIATOR.ALLOW_WRITE = $(CES), $(CMS) COLLECTOR.ALLOW_ADVERTISE_MASTER = $(CES), $(CMS), $(WNS) COLLECTOR.ALLOW_ADVERTISE_SCHEDD = $(CES) COLLECTOR.ALLOW_ADVERTISE_STARTD = $(WNS) SCHEDD.ALLOW_WRITE = $(USERS) SHADOW.ALLOW_WRITE = $(WNS), $(CES) ALLOW_DAEMON = condor_pool@$(UID_DOMAIN)/*.ph.liv.ac.uk, $(FULL_HOSTNAME) ALLOW_ADMINISTRATOR = root@$(UID_DOMAIN)/$(IP_ADDRESS), condor_pool@$(UID_DOMAIN)/$(IP_ADDRESS), $(CMS) ALLOW_CONFIG = root@$(FULL_HOSTNAME) # Don't allow nobody to run jobs SCHEDD.DENY_WRITE = nobody@$(UID_DOMAIN) # Authentication SEC_PASSWORD_FILE = /etc/condor/pool_password SEC_DEFAULT_AUTHENTICATION = REQUIRED SEC_READ_AUTHENTICATION = OPTIONAL SEC_CLIENT_AUTHENTICATION = REQUIRED SEC_DEFAULT_AUTHENTICATION_METHODS = PASSWORD,FS SCHEDD.SEC_WRITE_AUTHENTICATION_METHODS = FS,PASSWORD SCHEDD.SEC_DAEMON_AUTHENTICATION_METHODS = FS,PASSWORD SEC_CLIENT_AUTHENTICATION_METHODS = FS,PASSWORD,CLAIMTOBE SEC_READ_AUTHENTICATION_METHODS = FS,PASSWORD,CLAIMTOBE # Integrity SEC_DEFAULT_INTEGRITY = REQUIRED SEC_DAEMON_INTEGRITY = REQUIRED SEC_NEGOTIATOR_INTEGRITY = REQUIRED # Multicore # Disable DEFRAG #####DAEMON_LIST = $(DAEMON_LIST) DEFRAG DEFRAG_SCHEDULE = graceful DEFRAG_INTERVAL = 90 DEFRAG_MAX_CONCURRENT_DRAINING = 1 DEFRAG_DRAINING_MACHINES_PER_HOUR = 1.0 DEFRAG_MAX_WHOLE_MACHINES = 4 ## Allow some defrag configuration to be settable DEFRAG.SETTABLE_ATTRS_ADMINISTRATOR = DEFRAG_MAX_CONCURRENT_DRAINING,DEFRAG_DRAINING_MACHINES_PER_HOUR,DEFRAG_MAX_WHOLE_MACHINES ENABLE_RUNTIME_CONFIG = TRUE # The defrag depends on the number of spares already present, biased towards systems with many cpus DEFRAG_RANK = Cpus * pow(TotalCpus,(1.0 / 2.0)) # Definition of a "whole" machine: DEFRAG_WHOLE_MACHINE_EXPR = Cpus >= 8 && StartJobs =?= True && RalNodeOnline =?= True # Cancel once we have 8 DEFRAG_CANCEL_REQUIREMENTS = Cpus >= 8 # Decide which slots can be drained DEFRAG_REQUIREMENTS = PartitionableSlot && StartJobs =?= True && RalNodeOnline =?= True ## Logs MAX_DEFRAG_LOG = 104857600 MAX_NUM_DEFRAG_LOG = 10 #DEFRAG_DEBUG = D_FULLDEBUG #NEGOTIATOR_DEBUG = D_FULLDEBUG # Port limits HIGHPORT = 65000 LOWPORT = 20000 # History HISTORY = $(SPOOL)/history # Longer but better NEGOTIATE_ALL_JOBS_IN_CLUSTER = True ## Allow some negotiator configuration to be settable NEGOTIATOR.PERSISTENT_CONFIG_DIR=/var/lib/condor/persistent_config_dir NEGOTIATOR.ENABLE_PERSISTENT_CONFIG = True NEGOTIATOR.SETTABLE_ATTRS_ADMINISTRATOR = NEGOTIATOR_CYCLE_DELAY # Try to kill hogs SYSTEM_PERIODIC_REMOVE = RemoteWallClockTime > 259200 # Try again with ones that have some vars temporarily undef SYSTEM_PERIODIC_RELEASE = (JobRunCount < 10 && (time() - EnteredCurrentStatus) > 1200 ) && (HoldReasonCode == 5 && HoldReasonSubCode == 0)
- File: /etc/ld.so.conf.d/condor.conf
- Notes: CONDOR needed this to access its libraries. I had to run 'ldconfig' to make it take hold.
- Customise: Maybe not.
- Content:
/usr/lib64/condor/
- File: /usr/local/bin/scaling_factors_plugin.py
- Notes: This implements part of the Notes_on_Accounting.2C_Scaling_and_Publishing scaling factor logic.
- Customise: It should be generic.
- Content:
#!/usr/bin/python # Copyright 2014 Science and Technology Facilities Council # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import re from os.path import isfile import shutil import datetime import time import os """Usage: scaling_factors_plugin.py <status> <control dir> <jobid> Authplugin for FINISHING STATE Example: authplugin="FINISHING timeout=60,onfailure=pass,onsuccess=pass /usr/local/bin/scaling_factors_plugin.py %S %C %I" """ def ExitError(msg,code): """Print error message and exit""" from sys import exit print(msg) exit(code) def GetScalingFactor(control_dir, jobid): errors_file = '%s/job.%s.errors' %(control_dir,jobid) if not isfile(errors_file): ExitError("No such errors file: %s"%errors_file,1) f = open(errors_file) errors = f.read() f.close() scaling = -1 m = re.search('MATCH_EXP_MachineRalScaling = \"([\dE\+\-\.]+)\"', errors) if m: scaling = float(m.group(1)) return scaling def SetScaledTimes(control_dir, jobid): scaling_factor = GetScalingFactor(control_dir, jobid) diag_file = '%s/job.%s.diag' %(control_dir,jobid) if not isfile(diag_file): ExitError("No such errors file: %s"%diag_file,1) f = open(diag_file) lines = f.readlines() f.close() newlines = [] types = ['WallTime=', 'UserTime=', 'KernelTime='] for line in lines: for type in types: if type in line and scaling_factor > 0: m = re.search('=(\d+)s', line) if m: scaled_time = int(float(m.group(1))*scaling_factor) line = type + str(scaled_time) + 's\n' newlines.append(line) fw = open(diag_file, "w") fw.writelines(newlines) fw.close() # Save a copy. Use this for the DAPDUMP analyser. #tstamp = datetime.datetime.fromtimestamp(time.time()).strftime('%Y%m%d%H%M%S') #dest = '/var/log/arc/diagfiles/' + tstamp + '_' + os.path.basename(diag_file) #shutil.copy2(diag_file, dest) return 0 def main(): """Main""" import sys # Parse arguments if len(sys.argv) == 4: (exe, status, control_dir, jobid) = sys.argv else: ExitError("Wrong number of arguments\n"+__doc__,1) if status == "FINISHING": SetScaledTimes(control_dir, jobid) sys.exit(0) sys.exit(1) if __name__ == "__main__": main()
- File: /usr/local/bin/debugging_rte_plugin.py
- Notes: Useful for capturing debug output.
- Customise: It should be generic.
- Content:
#!/usr/bin/python
# This copies the files containing useful output from completed jobs into a directory
import shutil
"""Usage: debugging_rte_plugin.py <status> <control dir> <jobid>
Authplugin for FINISHED STATE
Example:
authplugin="FINISHED timeout=60,onfailure=pass,onsuccess=pass /usr/local/bin/debugging_rte_plugin.py %S %C %I"
"""
def ExitError(msg,code):
"""Print error message and exit"""
from sys import exit
print(msg)
exit(code)
def ArcDebuggingL(control_dir, jobid):
from os.path import isfile
try:
m = open("/var/spool/arc/debugging/msgs", 'a')
except IOError , err:
print err.errno
print err.strerror
local_file = '%s/job.%s.local' %(control_dir,jobid)
grami_file = '%s/job.%s.grami' %(control_dir,jobid)
if not isfile(local_file):
ExitError("No such description file: %s"%local_file,1)
if not isfile(grami_file):
ExitError("No such description file: %s"%grami_file,1)
lf = open(local_file)
local = lf.read()
lf.close()
if 'Organic Units' in local or 'stephen jones' in local:
shutil.copy2(grami_file, '/var/spool/arc/debugging')
f = open(grami_file)
grami = f.readlines()
f.close()
for line in grami:
m.write(line)
if 'joboption_directory' in line:
comment = line[line.find("'")+1:line.find("'",line.find("'")+1)]+'.comment'
shutil.copy2(comment, '/var/spool/arc/debugging')
if 'joboption_stdout' in line:
mystdout = line[line.find("'")+1:line.find("'",line.find("'")+1)]
m.write("Try Copy mystdout - " + mystdout + "\n")
if isfile(mystdout):
m.write("Copy mystdout - " + mystdout + "\n")
shutil.copy2(mystdout, '/var/spool/arc/debugging')
else:
m.write("mystdout gone - " + mystdout + "\n")
if 'joboption_stderr' in line:
mystderr = line[line.find("'")+1:line.find("'",line.find("'")+1)]
m.write("Try Copy mystderr - " + mystderr + "\n")
if isfile(mystderr):
m.write("Copy mystderr - " + mystderr + "\n")
shutil.copy2(mystderr, '/var/spool/arc/debugging')
else:
m.write("mystderr gone - " + mystderr + "\n")
close(m)
return 0
def main():
"""Main"""
import sys
# Parse arguments
if len(sys.argv) == 4:
(exe, status, control_dir, jobid) = sys.argv
else:
ExitError("Wrong number of arguments\n",1)
if status == "FINISHED":
ArcDebuggingL(control_dir, jobid)
sys.exit(0)
sys.exit(1)
if __name__ == "__main__":
main()
- File: /usr/local/bin/default_rte_plugin.py
- Notes: Sets up the default run time environment. Patched (25 Jul 2016) to work with xRSL and EMI-ES job file inputs.
- Customise: It should be generic.
- Content:
#!/usr/bin/python # Copyright 2014 Science and Technology Facilities Council # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Usage: default_rte_plugin.py <status> <control dir> <jobid> <runtime environment> Authplugin for PREPARING STATE Example: authplugin="PREPARING timeout=60,onfailure=pass,onsuccess=pass /usr/local/bin/default_rte_plugin.py %S %C %I <rte>" """ def ExitError(msg,code): """Print error message and exit""" from sys import exit print(msg) exit(code) def SetDefaultRTE(control_dir, jobid, default_rte): from os.path import isfile desc_file = '%s/job.%s.description' %(control_dir,jobid) if not isfile(desc_file): ExitError("No such description file: %s"%desc_file,1) f = open(desc_file) desc = f.read() f.close() if default_rte not in desc: if '<esadl:ActivityDescription' in desc: lines = desc.split('\n') with open(desc_file, "w") as myfile: for line in lines: myfile.write( line + '\n') if '<Resources>' in line: myfile.write( ' <RuntimeEnvironment>\n') myfile.write( ' <Name>' + default_rte + '</Name>\n') myfile.write( ' </RuntimeEnvironment>\n') else: if '<jsdl:JobDefinition' not in desc: with open(desc_file, "a") as myfile: myfile.write("( runtimeenvironment = \"" + default_rte + "\" )") return 0 def main(): """Main""" import sys # Parse arguments if len(sys.argv) == 5: (exe, status, control_dir, jobid, default_rte) = sys.argv else: ExitError("Wrong number of arguments\n"+__doc__,1) if status == "PREPARING": SetDefaultRTE(control_dir, jobid, default_rte) sys.exit(0) sys.exit(1) if __name__ == "__main__": main()
- File: /etc/lcmaps/lcmaps.db
- Notes: Connects the authentication layer to an ARGUS server
- Customise: Yes. It must be changed to suit your site.
- Content:
path = /usr/lib64/lcmaps
verify_proxy = "lcmaps_verify_proxy.mod"
"-certdir /etc/grid-security/certificates"
"--discard_private_key_absence"
"--allow-limited-proxy"
pepc = "lcmaps_c_pep.mod"
"--pep-daemon-endpoint-url https://hepgrid9.ph.liv.ac.uk:8154/authz"
"--resourceid http://authz-interop.org/xacml/resource/resource-type/arc"
"--actionid http://glite.org/xacml/action/execute"
"--capath /etc/grid-security/certificates/"
"--certificate /etc/grid-security/hostcert.pem"
"--key /etc/grid-security/hostkey.pem"
# Policies:
arc:
verify_proxy -> pepc
- File: /etc/profile.d/env.sh
- Notes: Sets up environment variables for specific VO jobs.
- Customise: Yes. It must be changed to suit your site.
- Content:
if [ "X${GLITE_ENV_SET+X}" = "X" ]; then
. /usr/libexec/grid-env-funcs.sh
if [ "x${GLITE_UI_ARCH:-$1}" = "x32BIT" ]; then arch_dir=lib; else arch_dir=lib64; fi
gridpath_prepend "PATH" "/bin"
gridpath_prepend "MANPATH" "/opt/glite/share/man"
gridenv_set "DPM_HOST" "hepgrid11.ph.liv.ac.uk"
gridenv_set "DPNS_HOST" "hepgrid11.ph.liv.ac.uk"
gridenv_set "GLEXEC_LOCATION" "/usr"
gridenv_set "RFIO_PORT_RANGE" "20000,25000"
gridenv_set "SITE_GIIS_URL" "hepgrid4.ph.liv.ac.uk"
gridenv_set "SITE_NAME" "UKI-NORTHGRID-LIV-HEP"
gridenv_set "MYPROXY_SERVER" "lcgrbp01.gridpp.rl.ac.uk"
gridenv_set "VO_ZEUS_SW_DIR" "/opt/exp_soft_sl5/zeus"
gridenv_set "VO_ZEUS_DEFAULT_SE" "hepgrid11.ph.liv.ac.uk"
gridenv_set "VO_VO_NORTHGRID_AC_UK_SW_DIR" "/opt/exp_soft_sl5/northgrid"
gridenv_set "VO_VO_NORTHGRID_AC_UK_DEFAULT_SE" "hepgrid11.ph.liv.ac.uk"
gridenv_set "VO_T2K_ORG_SW_DIR" "/cvmfs/t2k.gridpp.ac.uk"
gridenv_set "VO_T2K_ORG_DEFAULT_SE" "hepgrid11.ph.liv.ac.uk"
gridenv_set "VO_SNOPLUS_SNOLAB_CA_SW_DIR" "/cvmfs/snoplus.gridpp.ac.uk"
gridenv_set "VO_SNOPLUS_SNOLAB_CA_DEFAULT_SE" "hepgrid11.ph.liv.ac.uk"
gridenv_set "VO_PLANCK_SW_DIR" "/opt/exp_soft_sl5/planck"
gridenv_set "VO_PLANCK_DEFAULT_SE" "hepgrid11.ph.liv.ac.uk"
gridenv_set "VO_PHENO_SW_DIR" "/opt/exp_soft_sl5/pheno"
gridenv_set "VO_PHENO_DEFAULT_SE" "hepgrid11.ph.liv.ac.uk"
gridenv_set "VO_OPS_SW_DIR" "/opt/exp_soft_sl5/ops"
gridenv_set "VO_OPS_DEFAULT_SE" "hepgrid11.ph.liv.ac.uk"
gridenv_set "VO_NEISS_ORG_UK_SW_DIR" "/opt/exp_soft_sl5/neiss"
gridenv_set "VO_NEISS_ORG_UK_DEFAULT_SE" "hepgrid11.ph.liv.ac.uk"
gridenv_set "VO_NA62_VO_GRIDPP_AC_UK_SW_DIR" "/cvmfs/na62.cern.ch"
gridenv_set "VO_NA62_VO_GRIDPP_AC_UK_DEFAULT_SE" "hepgrid11.ph.liv.ac.uk"
gridenv_set "VO_MICE_SW_DIR" "/cvmfs/mice.gridpp.ac.uk"
gridenv_set "VO_MICE_DEFAULT_SE" "hepgrid11.ph.liv.ac.uk"
gridenv_set "VO_MAGIC_SW_DIR" "/opt/exp_soft_sl5/magic"
gridenv_set "VO_MAGIC_DEFAULT_SE" "hepgrid11.ph.liv.ac.uk"
gridenv_set "VO_LHCB_SW_DIR" "/cvmfs/lhcb.cern.ch"
gridenv_set "VO_LHCB_DEFAULT_SE" "hepgrid11.ph.liv.ac.uk"
gridenv_set "VO_LZ_SW_DIR" "/opt/exp_soft_sl5/lz"
gridenv_set "VO_LZ_DEFAULT_SE" "hepgrid11.ph.liv.ac.uk"
gridenv_set "VO_LSST_SW_DIR" "/opt/exp_soft_sl5/lsst"
gridenv_set "VO_LSST_DEFAULT_SE" "hepgrid11.ph.liv.ac.uk"
gridenv_set "VO_ILC_SW_DIR" "/cvmfs/ilc.desy.de"
gridenv_set "VO_ILC_DEFAULT_SE" "hepgrid11.ph.liv.ac.uk"
gridenv_set "VO_GRIDPP_SW_DIR" "/opt/exp_soft_sl5/gridpp"
gridenv_set "VO_GRIDPP_DEFAULT_SE" "hepgrid11.ph.liv.ac.uk"
gridenv_set "VO_GEANT4_SW_DIR" "/opt/exp_soft_sl5/geant4"
gridenv_set "VO_GEANT4_DEFAULT_SE" "hepgrid11.ph.liv.ac.uk"
gridenv_set "VO_FUSION_SW_DIR" "/opt/exp_soft_sl5/fusion"
gridenv_set "VO_FUSION_DEFAULT_SE" "hepgrid11.ph.liv.ac.uk"
gridenv_set "VO_ESR_SW_DIR" "/opt/exp_soft_sl5/esr"
gridenv_set "VO_ESR_DEFAULT_SE" "hepgrid11.ph.liv.ac.uk"
gridenv_set "VO_EPIC_VO_GRIDPP_AC_UK_SW_DIR" "/opt/exp_soft_sl5/epic"
gridenv_set "VO_EPIC_VO_GRIDPP_AC_UK_DEFAULT_SE" "hepgrid11.ph.liv.ac.uk"
gridenv_set "VO_DZERO_SW_DIR" "/opt/exp_soft_sl5/dzero"
gridenv_set "VO_DZERO_DEFAULT_SE" "hepgrid11.ph.liv.ac.uk"
gridenv_set "VO_DTEAM_SW_DIR" "/opt/exp_soft_sl5/dteam"
gridenv_set "VO_DTEAM_DEFAULT_SE" "hepgrid11.ph.liv.ac.uk"
gridenv_set "VO_CMS_SW_DIR" "/opt/exp_soft_sl5/cms"
gridenv_set "VO_CMS_DEFAULT_SE" "hepgrid11.ph.liv.ac.uk"
gridenv_set "VO_CERNATSCHOOL_ORG_SW_DIR" "/cvmfs/cernatschool.gridpp.ac.uk"
gridenv_set "VO_CERNATSCHOOL_ORG_DEFAULT_SE" "hepgrid11.ph.liv.ac.uk"
gridenv_set "VO_CDF_SW_DIR" "/opt/exp_soft_sl5/cdf"
gridenv_set "VO_CDF_DEFAULT_SE" "hepgrid11.ph.liv.ac.uk"
gridenv_set "VO_CAMONT_SW_DIR" "/opt/exp_soft_sl5/camont"
gridenv_set "VO_CAMONT_DEFAULT_SE" "hepgrid11.ph.liv.ac.uk"
gridenv_set "VO_CALICE_SW_DIR" "/opt/exp_soft_sl5/calice"
gridenv_set "VO_CALICE_DEFAULT_SE" "hepgrid11.ph.liv.ac.uk"
gridenv_set "VO_BIOMED_SW_DIR" "/opt/exp_soft_sl5/biomed"
gridenv_set "VO_BIOMED_DEFAULT_SE" "hepgrid11.ph.liv.ac.uk"
gridenv_set "VO_ATLAS_SW_DIR" "/cvmfs/atlas.cern.ch/repo/sw"
gridenv_set "VO_ATLAS_DEFAULT_SE" "hepgrid11.ph.liv.ac.uk"
gridenv_set "VO_ALICE_SW_DIR" "/opt/exp_soft_sl5/alice"
gridenv_set "VO_ALICE_DEFAULT_SE" "hepgrid11.ph.liv.ac.uk"
gridenv_set "SITE_NAME" "UKI-NORTHGRID-LIV-HEP"
gridenv_set "SITE_GIIS_URL" "hepgrid4.ph.liv.ac.uk"
gridenv_set "RFIO_PORT_RANGE" ""20000,25000""
gridenv_set "MYPROXY_SERVER" "lcgrbp01.gridpp.rl.ac.uk"
gridenv_set "LCG_LOCATION" "/usr"
gridenv_set "LCG_GFAL_INFOSYS" "lcg-bdii.gridpp.ac.uk:2170,topbdii.grid.hep.ph.ic.ac.uk:2170"
gridenv_set "GT_PROXY_MODE" "old"
gridenv_set "GRID_ENV_LOCATION" "/usr/libexec"
gridenv_set "GRIDMAPDIR" "/etc/grid-security/gridmapdir"
gridenv_set "GLITE_LOCATION_VAR" "/var"
gridenv_set "GLITE_LOCATION" "/usr"
gridenv_set "GLITE_ENV_SET" "TRUE"
gridenv_set "GLEXEC_LOCATION" "/usr"
gridenv_set "DPNS_HOST" "hepgrid11.ph.liv.ac.uk"
gridenv_set "DPM_HOST" "hepgrid11.ph.liv.ac.uk"
. /usr/libexec/clean-grid-env-funcs.sh
fi
- File: /etc/grid-security/grid-mapfile
- Notes: Useful for directly mapping a user for testing. Superseded by ARGUS now, so optional.
- Customise: Yes. It must be changed to suit your site.
- Content:
"/C=UK/O=eScience/OU=Liverpool/L=CSD/CN=stephen jones" dteam184
- File: /root/glitecfg/site-info.def
- Notes: Just a copy of the site standard SID file. Used to make the accounts with YAIM.
- Content: as per site standard
- File: /root/glitecfg/vo.d
- Notes: Just a copy of the site standard vo.d dir. Used to make the VOMS config with YAIM.
- Content: as per site standard
- File: /opt/glite/yaim/etc/users.conf
- Notes: Just a copy of the site standard users.conf file. Used to make the accounts with YAIM.
- Content: as per site standard
- File: /opt/glite/yaim/etc/groups.conf
- Notes: Just a copy of the site standard groups.conf file. Used to make the accounts with YAIM.
- Content: as per site standard
- File: /etc/arc/runtime/ENV/PROXY
- Notes: Stops error messages of one kind or another
- Content: empty
* File: /etc/init.d/nordugrid-arc-egiis
- Notes: Stops error messages of one kind or another
- Content: empty
Head Cron jobs
I had to add these cron jobs, illustrated with puppet stanzas.
- Cron: jura
- Purpose: Run the jura APEL reporter now and again
- Content:
16 6 * * * /usr/libexec/arc/jura /var/spool/arc/jobstatus &>> /var/log/arc/jura.log
- Cron: fetch-crl
- Purpose: Run fetch-crl
- Content:
# Cron job running by default every 6 hours, at 45 minutes +/- 3 minutes # The lock file can be enabled or disabled via a # service fetch-crl-cron start # chkconfig fetch-crl-cron on # Note the lock file not existing is success (and over-all success is needed # in order to prevent error messages from cron. "-q" makes it really # quiet, but beware that the "-q" overrides any verbosity settings 42 */6 * * * root [ ! -f /var/lock/subsys/fetch-crl-cron ] || ( [ -f /etc/sysconfig/fetch-crl ] && . /etc/sysconfig/fetch-crl ; /usr/sbin/fetch-crl -q -r 360 $FETCHCRL_OPTIONS $FETCHCRL_CRON_OPTIONS )
Patch to fix additional text in GLUE2ServiceAdminDomainForeignKey
Edit the /usr/share/arc/glue-generator.pl file.
After the assignment to $ldif_input (around line 84) add a line of perl to delete extra text (i.e. urn:ad:).
my $ldif_input=`$LDIF_GENERATOR_FILE_NG`; # ADD THE NEXT LINE AFTER HERE ... $ldif_input =~ s/GLUE2ServiceAdminDomainForeignKey: urn:ad:/GLUE2ServiceAdminDomainForeignKey: /;
Patch for BDII Job Count Breakdown
I put in a set of patches (provided by Andrew Lahiff) to make corrections to the BDII output such that it gave individual breakdowns of job counts in glue1. This consisted of various parts. First, I added to some cron jobs to create job count statistics every 10 minutes.
*/10 * * * * /usr/bin/condor_q -constraint 'JobStatus==2' -autoformat x509UserProxyVOName | sort | uniq -c > /var/local/condor_jobs_running */10 * * * * /usr/bin/condor_q -constraint 'JobStatus==1' -autoformat x509UserProxyVOName | sort | uniq -c > /var/local/condor_jobs_idle
I made additional changes to /usr/share/arc/glue-generator.pl to convert the data to BDII output. I added two subroutines near the top of the file:
sub getCondorJobsRunning
{
my ($vo) = @_;
my $file = "/var/local/condor_jobs_running";
if (-e $file)
{
open(FILE, "<$file");
foreach my $line (<FILE>)
{
if ($line =~ /$vo/)
{
my @pieces = split(" ", $line);
return $pieces[0];
}
}
close(FILE);
}
return 0;
}
sub getCondorJobsIdle
{
my ($vo) = @_;
my $file = "/var/local/condor_jobs_idle";
if (-e $file)
{
open(FILE, "<$file");
foreach my $line (<FILE>)
{
if ($line =~ /$vo/)
{
my @pieces = split(" ", $line);
return $pieces[0];
}
}
close(FILE);
}
return 0;
}
And I used the following section of code lower in the file to build the new readings into the output. To insert this patch, delete all lines from the second "foreach (@vos){" down to the corresponsing close bracked, then add this code:
foreach (@vos){
chomp;
$vo = $_;
$vo =~ s/VO:// ;
my $vob;
if ($vo =~ /(\w+)/ || $vo =~ /(\w+)\./) { $vob = $1; }
my @pieces = split(/\s+/, $cluster_attributes{'nordugrid-cluster-localse'});
my $useLocalSE = "";
foreach my $piece (@pieces)
{
if ($piece =~ /$vob/) { $useLocalSE = $piece; }
}
if ($vo =~ /superb/) { $useLocalSE = "srm-superb.gridpp.rl.ac.uk"; }
if ($useLocalSE eq "") { $useLocalSE = "srm-dteam.gridpp.rl.ac.uk"; }
my $myVoRunning = getCondorJobsRunning($vo);
my $myVoIdle = getCondorJobsIdle($vo);
my $myVoTotal = $myVoRunning + $myVoIdle;
print "
dn: GlueVOViewLocalID=$vo,GlueCEUniqueID=$ce_unique_id,Mds-Vo-name=resource,o=grid
objectClass: GlueCETop
objectClass: GlueVOView
objectClass: GlueCEInfo
objectClass: GlueCEState
objectClass: GlueCEAccessControlBase
objectClass: GlueCEPolicy
objectClass: GlueKey
objectClass: GlueSchemaVersion
GlueSchemaVersionMajor: 1
GlueSchemaVersionMinor: 2
GlueCEInfoDefaultSE: $cluster_attributes{'nordugrid-cluster-localse'}
GlueCEStateTotalJobs: $myVoTotal
GlueCEInfoDataDir: unset
GlueCEAccessControlBaseRule: VO:$vo
GlueCEStateRunningJobs: $myVoRunning
GlueChunkKey: GlueCEUniqueID=$ce_unique_id
GlueVOViewLocalID: $vo
GlueCEInfoApplicationDir: unset
GlueCEStateWaitingJobs: $myVoIdle
GlueCEStateEstimatedResponseTime: $estRespTime
GlueCEStateWorstResponseTime: $worstRespTime
GlueCEStateFreeJobSlots: $freeSlots
GlueCEStateFreeCPUs: $freeSlots
";
}
Patch for Extra BDII Fields
To set the GlueCEPolicyMaxCPUTime and GlueCEPolicyMaxWallClockTime bdii publishing values, you need to change the lines involving GlueCEPolicyMaxCPUTime and GlueCEPolicyMaxWallClockTime in /usr/share/arc/glue-generator.pl. For example:
GlueCEPolicyMaxCPUTime: 4320 GlueCEPolicyMaxWallClockTime: 4320
Patch for Correct Cores Parsing
There is a fault with ARC which causes an error in the publishing.
The error lies in two spots in /usr/share/arc/glue-generator.pl. A regex is supposed to pull out the Cores=XXX.XXX value, but only matches integers. Since we set Cores to an average value (Cores=5.93,Benchmark...) it rounds down to 5, setting glueSubClusterPhysicalCPUs to 724/5 = 144. The true value should be 724/5.93 = 122.
I put in the patch below to "fix" it.
# svn diff ./modules/emi-server/files/condor/glue-generator.pl
Index: modules/emi-server/files/condor/glue-generator.pl
===================================================================
--- modules/emi-server/files/condor/glue-generator.pl (revision 2817)
+++ modules/emi-server/files/condor/glue-generator.pl (working copy)
@@ -217,7 +217,7 @@
$glueHostArchitecturePlatformType=$cluster_attributes{'nordugrid-cluster-architecture'};
$glueSubClusterUniqueID=$cluster_attributes{'nordugrid-cluster-name'};
$glueSubClusterName=$glue_site_unique_id;
- if ( $processorOtherDesc =~ m/Cores=(\d+)/ ){
+ if ( $processorOtherDesc =~ m/Cores=([0-9]*\.?[0-9]+)/ ){
$smpSize=$1;
$glueSubClusterPhysicalCPUs=int($cluster_attributes{'nordugrid-cluster-totalcpus'}/$smpSize);
}
@@ -227,6 +227,7 @@
}
$glueSubClusterLogicalCPUs=$cluster_attributes{'nordugrid-cluster-totalcpus'};
$glueClusterUniqueID=$cluster_attributes{'nordugrid-cluster-name'};
+ $smpSize = int($smpSize);
WriteSubCluster();
}
@@ -438,7 +439,7 @@
$glueHostArchitecturePlatformType=$queue_attributes{'nordugrid-queue-architecture'};
##XX
$glueSubClusterUniqueID=$queue_attributes{'nordugrid-queue-name'}; ##XX
$glueSubClusterName=$queue_attributes{'nordugrid-queue-name'}; ##XX
- if ( $processorOtherDesc =~ m/Cores=(\d+)/ ){
+ if ( $processorOtherDesc =~ m/Cores=([0-9]*\.?[0-9]+)/ ){
$smpSize=$1;
$glueSubClusterPhysicalCPUs=int($queue_attributes{'nordugrid-queue-totalcpus'}/$smpSize);
}
@@ -448,6 +449,7 @@
}
$glueSubClusterLogicalCPUs=$queue_attributes{'nordugrid-queue-totalcpus'};
##XX
$glueClusterUniqueID=$cluster_attributes{'nordugrid-cluster-name'}; ##XX
+ $smpSize = int($smpSize);
WriteSubCluster();
}
Patch to turn on SSL in APEL
After installing the Apel package, I had to make this changes by hand. On line 136 of the /usr/libexec/arc/ssmsend file, I had to add a parameter ; use_ssl = _use_ssl.
Install the vomsdir LSC Files
I used VomsSnooper to do this as follows.
# cd /opt/GridDevel/vomssnooper/usecases/getLSCRecords # sed -i -e \"s/ vomsdir/ \/etc\/grid-security\/vomsdir/g\" getLSCRecords.sh # ./getLSCRecords.sh
Yaim to make head user accounts, /etc/vomses file and glexec.conf etc.
I used Yaim to do this as follows.
# yaim -r -s /root/glitecfg/site-info.def -n ABC -f config_users # yaim -r -s /root/glitecfg/site-info.def -n ABC -f config_vomses # yaim -c -s /root/glitecfg/site-info.def -n GLEXEC_wn
For this to work, ap priori, the site-info.def file must be present. A users.conf file and a groups.conf file must exist in the /opt/glite/yaim/etc/ directory. This is usually a part of any grid system CE install, but advice on how to prepare these is given in this Yaim guide (that I hope will be maintained for a little while longer.)
https://twiki.cern.ch/twiki/bin/view/LCG/YaimGuide400
Head Services
I had to set some services running.
A-rex - the ARC CE service condor - the CONDOR batch system service nordugrid-arc-ldap-infosys – part of the bdii nordugrid-arc-slapd – part of the bdii nordugrid-arc-bdii – part of the bdii gridftpd – the gridftp service
And that was it. That's all I did to get the server working, as far as I can recall.
Worker Node
Worker Standard build
As for the headnode, the basis for the initial worker node build follows the standard model for any workernode at Liverpool, prior to the installation of any middleware. Such a baseline build might include networking, cvmfs, iptables, nagios scripts, ganglia, ssh etc.
Aside: After an installation mistake, it was discovered that an ordinary TORQUE workernode could be used as the basis of the build, and it would then be possible to use the same worker node on both ARC/CONDOR and CREAM/TORQUE systems, but not simultaneously. This idea was not persued, however.
Worker Extra Directories
I needed to make these directories:
/root/glitecfg /opt/exp_soft_sl5/ /etc/arc/runtime/ENV /etc/condor/config.d /etc/grid-security/gridmapdir /etc/arc/runtime/ENV
On the liverpool cluster, we have VO software areas under:
/opt/exp_soft_sl5
On our system, this is actually a mount point to a central location. CVMFS takes over this role now, but it might be necessary to set up a shared mount system such as this and point the VO software directories to it, as shown in the head node file /etc/profile.d/env.sh (see above.)
Worker Additional Packages
We had to install the main CONDOR package:
condor
We also had to install some various bits of extra middleware:
emi-wn # for glite-brokerinfo (at least) lcg-util lcg-util-libs lcg-util-python lfc-devel lfc lfc-perl lfc-python uberftp voms-clients3 voms gfal2-plugin-lfc HEP_OSlibs_SL6
These libraries were also needed:
libXft-devel libxml2-devel libXpm-devel
We also installed some things, mostly for various VOs, I think:
bzip2-devel compat-gcc-34-c++ compat-gcc-34-g77 gcc-c++ gcc-gfortran git gmp-devel imake ipmitool libgfortran liblockfile-devel ncurses-devel python
Worker Files
- File: /root/scripts/set_node_parameters.pl
- Notes: This script senses the type of the system and sets it up according to how many slots it has etc.You'll also have to make arrangements to run this script once when you setup the machine. On the liverpool system, this is done with the following puppet stanza.
exec { "set_node_parameters.pl": command => "/root/scripts/set_node_parameters.pl > /etc/condor/config.d/00-node_parameters; \
/bin/touch /root/scripts/done-set_node_parameters.pl", require => [ File["/root/scripts/set_node_parameters.pl"],
File["/etc/condor/config.d"] ], onlyif => "/usr/bin/test ! -f /root/scripts/done-set_node_parameters.pl", timeout => "86400" }
- Customise: Yes. You'll need to edit it it to suit your site.
- Content:
#!/usr/bin/perl
use strict;
my $foundType = 0;
my @outputLines;
#processor : 3
#physical id : 0
my $processors = 0;
my %physicalIds;
open(CPUINFO,"/proc/cpuinfo") or die("Can't open /proc/cpuinfo, $?");
while(<CPUINFO>) {
if (/processor/) {
$processors++;
}
if (/physical id\s*:\s*(\d+)/) {
$physicalIds{$1} = 1;
}
if (/model name/) {
if (! $foundType) {
s/.*CPU\s*//;s/\s.*//;
if (/E5620/){
$foundType=1;
push (@outputLines, "RalNodeLabel = E5620\n");
push (@outputLines, "RalScaling = 1.205\n");
push (@outputLines, "NUM_SLOTS = 1\n");
push (@outputLines, "SLOT_TYPE_1 = cpus=10,mem=auto,disk=auto\n");
push (@outputLines, "NUM_SLOTS_TYPE_1 = 1\n");
push (@outputLines, "SLOT_TYPE_1_PARTITIONABLE = TRUE\n");
}
elsif (/L5420/){
$foundType=1;
push (@outputLines, "RalNodeLabel = L5420\n");
push (@outputLines, "RalScaling = 0.896\n");
push (@outputLines, "NUM_SLOTS = 1\n");
push (@outputLines, "SLOT_TYPE_1 = cpus=8,mem=auto,disk=auto\n");
push (@outputLines, "NUM_SLOTS_TYPE_1 = 1\n");
push (@outputLines, "SLOT_TYPE_1_PARTITIONABLE = TRUE\n");
}
elsif (/X5650/){
$foundType=1;
push (@outputLines, "RalNodeLabel = X5650\n");
push (@outputLines, "RalScaling = 1.229\n");
push (@outputLines, "NUM_SLOTS = 1\n");
push (@outputLines, "SLOT_TYPE_1 = cpus=16,mem=auto,disk=auto\n");
push (@outputLines, "NUM_SLOTS_TYPE_1 = 1\n");
push (@outputLines, "SLOT_TYPE_1_PARTITIONABLE = TRUE\n");
}
elsif (/E5-2630/){
$foundType=1;
push (@outputLines, "RalNodeLabel = E5-2630\n");
push (@outputLines, "RalScaling = 1.386\n");
push (@outputLines, "NUM_SLOTS = 1\n");
push (@outputLines, "SLOT_TYPE_1 = cpus=18,mem=auto,disk=auto\n");
push (@outputLines, "NUM_SLOTS_TYPE_1 = 1\n");
push (@outputLines, "SLOT_TYPE_1_PARTITIONABLE = TRUE\n");
}
else {
$foundType=1;
push (@outputLines, "RalNodeLabel = BASELINE\n");
push (@outputLines, "RalScaling = 1.0\n");
push (@outputLines, "NUM_SLOTS = 1\n");
push (@outputLines, "SLOT_TYPE_1 = cpus=8,mem=auto,disk=auto\n");
push (@outputLines, "NUM_SLOTS_TYPE_1 = 1\n");
push (@outputLines, "SLOT_TYPE_1_PARTITIONABLE = TRUE\n");
}
}
}
}
close(CPUINFO);
foreach my $line(@outputLines) {
print $line;
}
my @keys = keys(%physicalIds);
my $numberOfCpus = $#keys+1;
print ("# processors : $processors\n");
print ("# numberOfCpus : $numberOfCpus\n");
exit(0);
- File: /etc/condor/condor_config.local
- Notes: The main client condor configuration custom file.
- Customise: Yes. You'll need to edit it to suit your site.
- Content:
## What machine is your central manager? CONDOR_HOST = hepgrid2.ph.liv.ac.uk ## Pool's short description COLLECTOR_NAME = Condor at $(FULL_HOSTNAME) ## Put the output in a huge dir EXECUTE = /data/condor_pool/ ## Make it switchable when this machine is willing to start a job ENABLE_PERSISTENT_CONFIG = TRUE PERSISTENT_CONFIG_DIR = /etc/condor/ral STARTD_ATTRS = $(STARTD_ATTRS) StartJobs, RalNodeOnline, OnlyMulticore STARTD.SETTABLE_ATTRS_ADMINISTRATOR = StartJobs , OnlyMulticore StartJobs = False RalNodeOnline = False OnlyMulticore = False #START = ((StartJobs =?= True) && (RalNodeOnline =?= True) && (ifThenElse(OnlyMulticore =?= True,ifThenElse(RequestCpus =?= 8, True, False) ,True ) )) START = ((StartJobs == True) && (RalNodeOnline == True) && (ifThenElse(OnlyMulticore == True,ifThenElse(RequestCpus == 8, True, False) ,True ) )) ## When to suspend a job? SUSPEND = FALSE ## When to nicely stop a job? # When a job is running and the PREEMPT expression evaluates to True, the # condor_startd will evict the job. The PREEMPT expression s hould reflect the # requirements under which the machine owner will not permit a job to continue to run. # For example, a policy to evict a currently running job when a key is hit or when # it is the 9:00am work arrival time, would be expressed in the PREEMPT expression # and enforced by the condor_startd. PREEMPT = FALSE # If there is a job from a higher priority user sitting idle, the # condor_negotiator daemon may evict a currently running job submitted # from a lower priority user if PREEMPTION_REQUIREMENTS is True. PREEMPTION_REQUIREMENTS = FALSE # No job has pref over any other #RANK = FALSE ## When to instantaneously kill a preempting job ## (e.g. if a job is in the pre-empting stage for too long) KILL = FALSE ## This macro determines what daemons the condor_master will start and keep its watchful eyes on. ## The list is a comma or space separated list of subsystem names DAEMON_LIST = MASTER, STARTD ALLOW_WRITE = * ####################################### # scaling # STARTD_ATTRS = $(STARTD_ATTRS) RalScaling RalNodeLabel ####################################### # Andrew Lahiff's tip for over committing memory #MEMORY = 1.35 * quantize( $(DETECTED_MEMORY), 1000 ) MEMORY = 2.2 * quantize( $(DETECTED_MEMORY), 1000 ) ####################################### # Andrew Lahiff's security ALLOW_WRITE = UID_DOMAIN = ph.liv.ac.uk CENTRAL_MANAGER1 = hepgrid2.ph.liv.ac.uk COLLECTOR_HOST = $(CENTRAL_MANAGER1) # Central managers CMS = condor_pool@$(UID_DOMAIN)/hepgrid2.ph.liv.ac.uk # CEs CES = condor_pool@$(UID_DOMAIN)/hepgrid2.ph.liv.ac.uk # Worker nodes WNS = condor_pool@$(UID_DOMAIN)/192.168.* # Users USERS = *@$(UID_DOMAIN) USERS = * # Required for HA HOSTALLOW_NEGOTIATOR = $(COLLECTOR_HOST) HOSTALLOW_ADMINISTRATOR = $(COLLECTOR_HOST) HOSTALLOW_NEGOTIATOR_SCHEDD = $(COLLECTOR_HOST) # Authorization HOSTALLOW_WRITE = ALLOW_READ = */*.ph.liv.ac.uk NEGOTIATOR.ALLOW_WRITE = $(CES), $(CMS) COLLECTOR.ALLOW_ADVERTISE_MASTER = $(CES), $(CMS), $(WNS) COLLECTOR.ALLOW_ADVERTISE_SCHEDD = $(CES) COLLECTOR.ALLOW_ADVERTISE_STARTD = $(WNS) SCHEDD.ALLOW_WRITE = $(USERS) SHADOW.ALLOW_WRITE = $(WNS), $(CES) ALLOW_DAEMON = condor_pool@$(UID_DOMAIN)/*.ph.liv.ac.uk, $(FULL_HOSTNAME) ALLOW_ADMINISTRATOR = root@$(UID_DOMAIN)/$(IP_ADDRESS), condor_pool@$(UID_DOMAIN)/$(IP_ADDRESS), $(CMS) ALLOW_CONFIG = root@$(FULL_HOSTNAME) # Temp debug #ALLOW_WRITE = $(FULL_HOSTNAME), $(IP_ADDRESS), $(CONDOR_HOST) # Don't allow nobody to run jobs SCHEDD.DENY_WRITE = nobody@$(UID_DOMAIN) # Authentication SEC_PASSWORD_FILE = /etc/condor/pool_password SEC_DEFAULT_AUTHENTICATION = REQUIRED SEC_READ_AUTHENTICATION = OPTIONAL SEC_CLIENT_AUTHENTICATION = REQUIRED SEC_DEFAULT_AUTHENTICATION_METHODS = PASSWORD,FS SCHEDD.SEC_WRITE_AUTHENTICATION_METHODS = FS,PASSWORD SCHEDD.SEC_DAEMON_AUTHENTICATION_METHODS = FS,PASSWORD SEC_CLIENT_AUTHENTICATION_METHODS = FS,PASSWORD,CLAIMTOBE SEC_READ_AUTHENTICATION_METHODS = FS,PASSWORD,CLAIMTOBE # Integrity SEC_DEFAULT_INTEGRITY = REQUIRED SEC_DAEMON_INTEGRITY = REQUIRED SEC_NEGOTIATOR_INTEGRITY = REQUIRED # Separation USE_PID_NAMESPACES = False # Smooth updates MASTER_NEW_BINARY_RESTART = PEACEFUL # Give jobs 3 days MAXJOBRETIREMENTTIME = 3600 * 24 * 3 # Port limits HIGHPORT = 65000 LOWPORT = 20000 # Startd Crons STARTD_CRON_JOBLIST=TESTNODE STARTD_CRON_TESTNODE_EXECUTABLE=/usr/libexec/condor/scripts/testnodeWrapper.sh STARTD_CRON_TESTNODE_PERIOD=300s # Make sure values get over STARTD_CRON_AUTOPUBLISH = If_Changed # One job per claim CLAIM_WORKLIFE = 0 # Enable CGROUP control BASE_CGROUP = htcondor # hard: job can't access more physical memory than allocated # soft: job can access more physical memory than allocated when there is free memory CGROUP_MEMORY_LIMIT_POLICY = soft
- File: /etc/profile.d/liv-lcg-env.sh
- Notes: Some environment script needed by the system.
- Customise: Yes. You'll need to edit it it to suit your site.
- Content:
export ATLAS_RECOVERDIR=/data/atlas EDG_WL_SCRATCH=$TMPDIR ID=`id -u` if [ $ID -gt 19999 ]; then ulimit -v 10000000 fi
- File: /etc/profile.d/liv-lcg-env.csh
- Notes: Some other environment script needed by the system.
- Customise: Yes. You'll need to edit it it to suit your site.
- Content:
setenv ATLAS_RECOVERDIR /data/atlas if ( "$?TMPDIR" == "1" ) then setenv EDG_WL_SCRATCH $TMPDIR else setenv EDG_WL_SCRATCH "" endif
- File: /etc/condor/pool_password
- Notes: Will have its own section (TBD)
- Customise: Yes.
- Content: The content is the same as the one on the head node (see above).
- File: /root/glitecfg/site-info.def
- Notes: Just a copy of the site standard SID file. Used to make the accounts.
- Content: as per site standard
- File: /root/glitecfg/vo.d
- Notes: Just a copy of the site standard vo.d dir. Used to make the accounts.
- Content: as per site standard
- File: /opt/glite/yaim/etc/users.conf
- Notes: Just a copy of the site standard users.conf file. Used to make the accounts.
- Content: as per site standard
- File: /opt/glite/yaim/etc/groups.conf
- Notes: Just a copy of the site standard groups.conf file. Used to make the accounts.
- Content: as per site standard
- File: /etc/lcas/lcas-glexec.db
- Notes: Stops yaim from complaining about missing file
- Content: empty
- File: /etc/arc/runtime/ENV/GLITE
- Notes: Same as the head node version; see above. The GLITE runtime environment.
- Content: See above
- File: /etc/arc/runtime/ENV/PROXY
- Notes: Same as the head node version; see above. Stops error messages of one kind or another
- Content: empty
- File: /usr/etc/globus-user-env.sh
- Notes: Jobs just need it to be there.
- Content: empty
Worker Cron jobs
We run a cronjob to keep cvmfs clean:
0 5 */3 * * /root/bin/cvmfs_fsck.sh >> /var/log/cvmfs_fsck.log 2>&1
Worker Special notes
None to speak of (yet).
Worker user accounts
As with the head node, I used Yaim to do this as follows.
# yaim -r -s /root/glitecfg/site-info.def -n ABC -f config_users
For this to work, ap priori, a users.conf file and a groups.conf file must exist in the /opt/glite/yaim/etc/ directory. This is usually a part of any grid system CE install, but advice on how to prepare these is given in this Yaim guide (that I hope will be maintained for a little while longer.)
https://twiki.cern.ch/twiki/bin/view/LCG/YaimGuide400
Worker Services
You have to set this service running:
condor
Workernode Health Check Script
This is a script that makes some checks on the worker node and "turns it off" if it fails any of them. To implement this, use a CONDOR feature; startd_cron jobs.
This config in the /etc/condor_config.local file on my worker nodes defines a some new configuration variables.
ENABLE_PERSISTENT_CONFIG = TRUE PERSISTENT_CONFIG_DIR = /etc/condor/ral STARTD_ATTRS = $(STARTD_ATTRS) StartJobs, RalNodeOnline STARTD.SETTABLE_ATTRS_ADMINISTRATOR = StartJobs StartJobs = False RalNodeOnline = False
The prefix "Ral" is used here because some of this material is inherited from Andrew Lahiff at RAL. It's just to de-conflict names.
Anyway, the first section says to keep a persistent record of configuration settings; it adds new configuration settings called "StartJobs" and “RalNodeOnline”; it sets them initially to False; and it makes the START configuration setting dependant upon them both being set. Note: the START setting is very important because the node won't start jobs unless it is True.
Next, this config also in the /etc/condor/condor_config.local file tells the system (startd) to run a cron script every five minutes.
STARTD_CRON_JOBLIST=TESTNODE STARTD_CRON_TESTNODE_EXECUTABLE=/usr/libexec/condor/scripts/testnodeWrapper.sh STARTD_CRON_TESTNODE_PERIOD=300s # Make sure values get over STARTD_CRON_AUTOPUBLISH = If_Changed
The testnodeWrapper.sh script looks like this:
#!/bin/bash MESSAGE=OK /usr/libexec/condor/scripts/testnode.sh > /dev/null 2>&1 STATUS=$? if [ $STATUS != 0 ]; then MESSAGE=`grep ^[A-Z0-9_][A-Z0-9_]*=$STATUS\$ /usr/libexec/condor/scripts/testnode.sh | head -n 1 | sed -e "s/=.*//"` if -z "$MESSAGE" ; then MESSAGE=ERROR fi fi if $MESSAGE =~ ^OK$ ; then echo "RalNodeOnline = True" else echo "RalNodeOnline = False" fi echo "RalNodeOnlineMessage = $MESSAGE" echo `date`, message $MESSAGE >> /tmp/testnode.status exit 0
This just wraps an existing script which I reuse from our TORQUE/MAUI cluster. The existing script just returns a non-zero code if any error happens. To add a bit of extra info, it also looks up the meaning of the code. The important thing to notice is that it echoes out a line to set the RalNodeOnline setting to false. This is then used in the setting of START. Note: on TORQUE/MAUI, the script ran as “root”; here it runs as “condor”. It uses sudo for some of the sections which (e.g.) check disks etc. because condor could not get smartctl settings etc.
When a node fails the test, START goes to False and the node won't run more jobs.
Note that we use two settings to control START. As well as RalNodeOnline, we have the StartJobs setting. We can control this independently, so we can turn a node offline whether or not it has an error. This is useful for stopping the node to (say) rebuild it. It's done on the server, like this.
condor_config_val -verbose -name r21-n01 -startd -set "StartJobs = false" condor_reconfig r21-n01 condor_reconfig -daemon startd r21-n01
GOCDB Entries and Registration
Add new service entries for the head node in GOCDB for the following service types.
- gLite-APEL
- gLExec
- ARC-CE
It is safe to monitor all these services, once they are marked in production.
Also contact representatives of the big experiments and tell them about the new CE. Ask Atlas to add the new CE in its analysis, production and multicore job queues.
Software Tags
The use of software tags has almost disappeared since we started using CVMFS. We expect that to continue.
An ARC CE, unlike CREAM, does not support software tags in the same way. ARC has a different but broadly equivalent mechanism of its own, called ARC runtime environments. These get published in the same way as software tags in the information system. The site admin has to put files into the runtimedir directory (e.g. /etc/arc/runtime). For example, at Liverpool, I've put in this tag for biomed:
# ls /etc/arc/runtime/ /etc/arc/runtime/VO-biomed-CVMFS
These are managed by our configuration management system - VOs can't make changes themselves. Users can query for the tag as so:
# ldapsearch -LLL -x -h lcg-bdii.gridpp.ac.uk:2170 -b o=grid 'GlueSubClusterUniqueID=hepgrid2.ph.liv.ac.uk' GlueHostApplicationSoftwareRunTimeEnvironment ... GlueHostApplicationSoftwareRunTimeEnvironment: VO-biomed-CVMFS ...
Notes on Accounting, Scaling and Publishing
Background
Various notes on Jura accounting are available on the nordugrid wiki. I gave a presentation on Accounting, Scaling and Publishing for ARC/Condor and other systems at GridPP37 in Ambleside, UK, which forms the basis for the Benchmarking procedure. The material in this section is all based off the CREAM/Torque publishing tutorial written some time ago: Publishing_tutorial)
The salient points in this document explain (A) how to apply scaling factors to individual nodes in a mixed cluster and (B) how total power of a site is transmitted. I'll first lay out how it was done in CREAM/TORQUE and then explain the changes required to make it relates to ARC/CONDOR.
Historical Set-up with CREAM/TORQUE/MAUI
Application of Scaling Factors
At Liverpool, we introduced an abstract node-type, called BASELINE, with a reference value of 10 HEPSPEC. This is transmitted to the information system on a per CE basis, and can be seen as follows.
$ ldapsearch -LLL -x -h hepgrid4:2170 -b o=grid GlueCEUniqueID=hepgrid5.ph.liv.ac.uk:8443/cream-pbs-long GlueCECapability | perl -p0e 's/\n //g' GlueCECapability: CPUScalingReferenceSI00=2500
All CE's share the same value. Note: The value of 2500 corresponds to 10 HEPSPEC expressed in “bogoSpecInt2k” (which is equal to 1/250th of a HEPSPEC).
All real nodes receive a TORQUE scaling factor that describes how powerful their slots are relative to the abstract reference. For example, a machine with slightly less powerful slots than BASELINE might have a factor of 0.896. TORQUE then automatically normalises cpu durations with the scaling factor. Thus the accounting system merely needs to know the CPUScalingReferenceSI00 value to be able to compute work done.
Transmit Total Power of a Site
The total power of a site is conveyed to the information system by sending out values for Total Logical Cpus (or unislots) and Benchmark (average power of a single slot) and multiplying them together. It is done on a per CE basis, and the calculation at Liverpool (which then had 4 CREAM CEs) looks like this:
$ ldapsearch -LLL -x -h hepgrid4:2170 -b o=grid GlueSubClusterUniqueID=hepgrid5.ph.liv.ac.uk GlueSubClusterLogicalCPUs GlueHostProcessorOtherDescription | perl -p0e 's/\n //g' GlueSubClusterLogicalCPUs: 1 GlueHostProcessorOtherDescription: Cores=6.23,Benchmark=12.53-HEP-SPEC06
$ ldapsearch -LLL -x -h hepgrid4:2170 -b o=grid GlueSubClusterUniqueID=hepgrid6.ph.liv.ac.uk GlueSubClusterLogicalCPUs GlueHostProcessorOtherDescription | perl -p0e 's/\n //g' GlueSubClusterLogicalCPUs: 1 GlueHostProcessorOtherDescription: Cores=6.23,Benchmark=12.53-HEP-SPEC06
$ ldapsearch -LLL -x -h hepgrid4:2170 -b o=grid GlueSubClusterUniqueID=hepgrid10.ph.liv.ac.uk GlueSubClusterLogicalCPUs GlueHostProcessorOtherDescription | perl -p0e 's/\n //g' GlueSubClusterLogicalCPUs: 1 GlueHostProcessorOtherDescription: Cores=6.23,Benchmark=12.53-HEP-SPEC06
$ ldapsearch -LLL -x -h hepgrid4:2170 -b o=grid GlueSubClusterUniqueID=hepgrid97.ph.liv.ac.uk GlueSubClusterLogicalCPUs GlueHostProcessorOtherDescription | perl -p0e 's/\n //g' GlueSubClusterLogicalCPUs: 1381 GlueHostProcessorOtherDescription: Cores=6.23,Benchmark=12.53-HEP-SPEC06
$ bc -l (1 + 1 + 1 + 1381) * 12.53
Giving 17341.52 HEPSPEC
Note: All 1384 nodes are/were available to each CE to submit to, but the bulk is allocated for hepgrid97 for the purposes of power publishing only.
The Setup with ARC/CONDOR
Application of Scaling Factors
There's an ARC “authplugin” script called scaling_factors_plugin.py, that gets run when a job finishes. It normalises the accounting. It gets a MachineRalScaling (that has been buried in an “errors” file. See “RalScaling” below) then parses the diag file, multiplying the run-times by the factor.
Also in ARC is a “jobreport_options” parameter that contains (e.g.) “benchmark_value:2500.00". I assume this is the equivalent of the “GlueCECapability: CPUScalingReferenceSI00=2500 ” in the “Application of Scaling Factors” section above, i.e. it is in bogospecint2k (250 * HEPSPEC). I assume that it represents the power of the reference node type, i.e. the power to which all the other nodes relate by way of their individual scaling factor.
The next thing considered is this RalScaling / MachineRalScaling mechanism. This is set in one of the config files on the WNs:
RalScaling = 2.14 STARTD_ATTRS = $(STARTD_ATTRS) RalScaling
It tells the node how powerful it is by setting a new variable with some arbitrary name. This goes on the ARC CE:
MachineRalScaling = "$$([ifThenElse(isUndefined(RalScaling), 1.00, RalScaling)])" SUBMIT_EXPRS = $(SUBMIT_EXPRS) MachineRalScaling
This gets hold of the RalScaling variable on the WN, then passes it through via the SUBMIT_EXPRS parameter. It winds up in the “errors” file, which is then used in a normalisation script. Note that the scaling factor is applied to the workernode at build time by the set_node_parameters.pl script described in the Files section above.
Notes on HEPSPEC Publishing Parameters
The Publishing_tutorial describes a situation where Yaim is used to convert and transfer the information. In this case, the same data has to be transposed into the arc.conf configuration file so that the ARC BDII can access and publish the values. The following table shows how to map the YAIM values references in the tutorial to the relevant configuration settings in the ARC system.
| Description | Yaim variable | ARC Conf Section | Example ARC Variable | Notes |
|---|---|---|---|---|
| Total physical cpus in cluster | CE_PHYSCPU=114 | N/A | N/A | No equivalent in ARC |
| Total cores/logical-cpus/unislots/threads... in cluster | CE_LOGCPU=652 | [cluster] and [queue/grid] | totalcpus=652 | Only 1 queue; same in both sections |
| Accounting Scaling | CE_CAPABILITY="CPUScalingReferenceSI00=2500 ... | [grid-manager] | jobreport_options="... benchmark_value:2500.00" | Provides the reference for accounting |
| Power of 1 logical cpu, in HEPSPEC * 250 (bogoSI00) | CE_SI00 | [infosys/glue12] | cpu_scaling_reference_si00="2970" | See Yaim Manual; equivalent to benchmark * 250
|
| Cores: the average unislots in a physical cpu | CE_OTHERDESCR=Cores=n.n, ... | [infosys/glue12] | processor_other_description="Cores=5.72 ..." | Yaim var was shared with Benchmark (below) |
| Benchmark: The scaled power of a single core/logical-cpu/unislot/thread ... | CE_OTHERDESCR=....,Benchmark=11.88-HEP-SPEC06 | [infosys/glue12] | processor_other_description="...,Benchmark=11.88-HEP-SPEC06" | Yaim var was shared with Cores (above)
|
Once the system is operating, the following script can be used to test the published power of your site.
#!/usr/bin/perl
my @glasgow = qw ( svr010.gla.scotgrid.ac.uk svr011.gla.scotgrid.ac.uk svr014.gla.scotgrid.ac.uk svr026.gla.scotgrid.ac.uk);
my @liverpoolCE = qw (hepgrid5.ph.liv.ac.uk hepgrid6.ph.liv.ac.uk hepgrid10.ph.liv.ac.uk hepgrid97.ph.liv.ac.uk );
my @liverpoolCE = qw (hepgrid2.ph.liv.ac.uk );
my $power = 0;
for my $server (@liverpoolCE ) {
my $p = getPower($server);
$power = $power + $p;
}
print("Total power is $power\n");
sub getPower() {
$bdii = "hepgrid2.ph.liv.ac.uk:2135";
my $server = shift;
open(CMD,"ldapsearch -LLL -x -h $bdii -b o=grid 'GlueSubClusterUniqueID=$server' |") or die("No get $server stuff");
my $buf = ;
my @lines;
while (<CMD>) {
chomp();
if (/^ /) {
s/^ //; $buf .= $_;
}
else {
push(@lines,$buf); $buf = $_;
}
}
close(CMD);
push(@lines,$buf);
my $avgHepspec = -1;
my $slots = -1;
foreach my $l (@lines) {
if ($l =~ /^GlueHostProcessorOtherDescription: Cores=([0-9\.]+),Benchmark=([0-9\.]+)-HEP-SPEC06/) {
$avgHepspec = $2;
print("avgHepspec -- $avgHepspec, $l\n");
}
if ($l =~ /^GlueSubClusterLogicalCPUs: ([0-9]+)/) {
$slots = $1;
print("slots -- $slots\n");
}
}
die("Reqd val not found $avgHepspec $slots \n") if (($avgHepspec == -1) or ($slots == -1));
my $power = $avgHepspec * $slots;
print("power avgHepspec slots, $power, $avgHepspec, $slots\n");
return $power;
}
Transmit Total Power of a Site
At present, there is no mechanism for that as far as I know.
Republishing Accounting Records
Republishing records from ARC is only possible for APEL if archiving option was set up in the arc.conf (see above for the settings). If this was set for the period covered, you can use the script below (called merge-and-create-publish.sh, and written by Jernej Porenta) for collecting the relevant archived records and putting them in the republishing directory. After doing this, you can run jura publishing in the normal manner, or wait for the cron job to kick off. You must set the following attributes in the script before running it.
- archiving directory
- required data gap
- output directory for a new file
#!/bin/bash
# Script to create republish data for JURA from archive dir
# JURA archive dir, where all the old accounting records from ARC are saved (archiving setting from jobreport_options in arc.conf)
ARCHIVEDIR="/var/run/arc/urs/"
# Time frame of republish data
FROM="28-Feb-2015"
TO="02-Apr-2015"
# Output directory for new files, which should go into JURA outgoing dir (usually: /var/spool/arc/ssm/<APEL server>/outgoing/00000000
OUTPUT="/var/spool/arc/ssm/mq.cro-ngi.hr/outgoing/00000000/"
#####
TMPFILE="file.$$"
if [ ! -d $OUTPUT ] || [ ! -d $ARCHIVEDIR ]; then
echo "Output or Archive dir is missing"
exit 0
fi
# find all accounting records from archive dir with modifiation time in the specified timeframe and paste the records into temporary file
find $ARCHIVEDIR -type f -name 'usagerecordCAR.*' -newermt "$FROM -1 sec" -and -not -newermt "$TO -1 sec" -printf "%C@ %p\n" | sort | awk '{ print $2 }' | xargs -L1 -- grep -h UsageRecord >> $TMPFILE
# fix issues with missing CpuDuration
perl -p -i -e 's|WallDuration><ServiceLevel|WallDuration><CpuDuration urf:usageType="all">PT0S</CpuDuration><ServiceLevel|' $TMPFILE
# split the temporary file into smaller files with only 999 accounting records each
split -a 4 -l 999 -d $TMPFILE $OUTPUT/
# rename the files into format that JURA publisher will understand
for F in `find $OUTPUT -type f`; do
FILE=`basename $F`
NEWFILE=`date -d "$FROM + $FILE second" +%Y%m%d%H%M%S`
mv -v $OUTPUT/$FILE $OUTPUT/$NEWFILE
done
# prepend XML tags for accounting files
find $OUTPUT -type f -print0 | xargs -0 -L1 -- sed -i '1s/^/<?xml version="1.0"?>\n<UsageRecords xmlns="http:\/\/eu-emi.eu\/namespaces\/2012\/11\/computerecord">\n/'
# attach XML tags for accounting files
for file in `find $OUTPUT -type f`; do
echo "</UsageRecords>" >> $file
done
rm -f $TMPFILE
echo "Publish files are in $OUTPUT directory"
Tests and Testing
The following URL lists some critical tests for ATLAS, and the Liverpool site. You'll have to modify the site name.
http://dashb-atlas-sum.cern.ch/dashboard/request.py/historicalsmryview-sum#view=serviceavl&time[]=last48&granularity[]=default&profile=ATLAS_CRITICAL&group=All+sites&site[]=UKI-NORTHGRID-LIV-HEP&flavour[]=All+Service+Flavours&flavour[]=ARC-CE&disabledFlavours=true
To check the UK job submission status:
http://bigpanda.cern.ch/dash/production/?cloudview=region&computingsite=*MCORE*#cloud_UK
Defragmentation for multicore jobs
In this section, I discuss various approaches to defragmenting a cluster to make room for multi-core jobs.
Fallow
I currently recommend Fallow over the other methods I have tried.
Introduction to Fallow
Fallow is a tool based on the older idea, DrainBoss (see below). Fallow is smaller, simpler and more precise. The integral term (which was complex) has been dropped and the proportional controller has been simplified.
Config Settings
To use Fallow, some new config is required on the workernodes. The reason for this is described below in the Principles of Operation section.
Lines in the /etc/condor/condor_config.local file need to be amended to hold the OnlyMulticore attribute, as show here.
ENABLE_PERSISTENT_CONFIG = TRUE PERSISTENT_CONFIG_DIR = /etc/condor/ral STARTD_ATTRS = $(STARTD_ATTRS) StartJobs, RalNodeOnline, OnlyMulticore STARTD.SETTABLE_ATTRS_ADMINISTRATOR = StartJobs , OnlyMulticore OnlyMulticore = False
And the START classad, in the same file, has to be modified to use the OnlyMulticore attribute, as follows.
START = ((StartJobs =?= True) && (RalNodeOnline =?= True) && (ifThenElse(OnlyMulticore =?= True,ifThenElse(RequestCpus =?= 8, True, False) ,True ) ))
The OnlyMulticore attribute is a persistent, settable attribute that can be altered by (say) an admin user or a script. The START classad, which is consulted before a job is started, will only yield True for a specific job if (as well as certain other conditions) OnlyMulticore is False, or OnlyMulticore is True and the job needs 8 cpus. Thus the node can be controlled to bar it from running single-core jobs by making OnlyMulticore true.
Principles of Operation
Fallow takes a parameter that tells it how many unislots (single cores) should be used ideally by multi-core jobs. This is called the setpoint.
Fallow detects how many multi-core and single-core jobs are running and queued, and uses the OnlyMulticore attribute (see below) to control whether nodes are allowed or not to run single-core jobs. A node that is not allowed to run single-core jobs is, effectively, draining.
It does nothing if there are no jobs or if there are only multi-core jobs. This is OK because the cluster is already effectively draining if there are no single-core jobs in the queue, and it's pointless doing anything if there are no jobs at all in the queue.
If there are only single-cores in the queue, Fallow sets OnlyMulticore on all nodes to False, allowing all nodes to any type of job. This is OK because there are no multi-core jobs waiting, so no reservations are wanted.
If there are multi-core and single-core jobs in the queue, Fallow uses the following algorithm.
Fallow works out how many multi-core (8 core) slots are needed to achieve the setpoint. Fallow exits if there are already enough running (Fallow never stops a running job to achieve the setpoint.)
Fallow then subtracts the running jobs from the desired to find how many newly drained nodes would be needed to reach the desired state. It then discounts nodes that are already OnlyMulticore but not yet with an 8 core slot; these are in progress. This gives the number of new nodes to set OnlyMulticore. Fallow then tries to find a set of nodes that are not OnlyMulticore , and sets them OnlyMulticore, starting the drain. Following this algorithm, the system should eventually converge on the correct number of multi-core jobs as desired.
To avoid confusion, I haven't yet mentioned how newly drained nodes are put back online. This is actually done as the first thing in Fallow. It scans all the nodes, finding ones that are OnlyMulticore but which have already got an 8 core slot. It turns OnlyMulticore off for those nodes, putting them back into service.
Preferring Multicore Jobs
Algorithmic
For this system to work, it is necessary for it to prefer the start multi-core jobs over single-core jobs. This is because the drain process described above is futile if single-core jobs grab the newly prepared nodes. The system at Liverpool ensures this through various measures. The first and most effective measure is inherent in the Fallow algorithm. As a node drains in OnlyMulticore mode, single-core jobs are not allowed. At some point, 8 or more slots will become free. The system will schedule a multicore job in those slots, because single-core jobs are barred. The next run of Fallow will put the node back in service by allowing single-core jobs, but it is too late - a multicore job is (usually) already running, assuming any were queued.
The only exception to this is a race condition. Say the condor scheduler considers a draining (OnlyMulticore) node and finds that it has too few free cores to schedule a multi-core job. Then say that between then, and the next run of Fallow, enough cores become free. Fallow will then run and turn off OnlyMulticore. The first run of the scheduler after Fallow can then start a single-core job, which spoils the plan.
Fallow has logic to counter this. After Fallow discovers a node has enough cores to turn OnlyMulticore off, it waits for a period exceeding one scheduling cycle to ensure that the scheduler has a chance to put a multi-core job on it. Only then does fallow turn OnlyMulticore off. The scheduling cycle period is given to Fallow as a command line parameter.
It is recommended anyway that the scheduler should run much more frequently than Fallow, to minimise the chance that this window will be available. There are also other measures that can be used to give more certainly over this aspect, described next for the sake of completeness.
User Priorities
On our cluster, we define accounting groups and any job is assigned to some user that belongs to an accounting group (with reference to his proxy certificate and via an authentication and mapping system called lcmaps and Argus). The rules that do this are described in the main document, and look something like this:
LivAcctGroup = strcat("group_",toUpper(
ifThenElse(regexp("sgmatl34",Owner),"highprio",
ifThenElse(regexp("sgmops11",Owner),"highprio",
ifThenElse(regexp("^alice", x509UserProxyVOName), "alice",
ifThenElse(regexp("^atlas", x509UserProxyVOName), "atlas",
ifThenElse(regexp("^biomed", x509UserProxyVOName), <…. and so on …>
"nonefound")))))))))))))))))))))))))))))))) )) ))
LivAcctSubGroup = strcat(regexps("([A-Za-z0-9]+[A-Za-z])\d+", Owner,
"\1"),ifThenElse(RequestCpus > 1,"_mcore","_score"))
AccountingGroup = strcat(LivAcctGroup, ".", LivAcctSubGroup, ".", Owner)
SUBMIT_EXPRS = $(SUBMIT_EXPRS) LivAcctGroup, LivAcctSubGroup, AccountingGroup
The idea is that we have a major accounting group and a sub accounting group for each job, which is put in the SUBMIT_EXPRS as a parameter. The sub accounting group is always _mcore or _score for reasons that will be obvious in a minute. When I run condor_userprio, I see this for e.g. ATLAS (some cols omitted). Note the priority factor, last col.
group_ATLAS 0.65 Regroup 1000.00 pilatl_score.pilatl08@ph.liv.ac.uk 500.00 1000.00 atlas_score.atlas006@ph.liv.ac.uk 500.33 1000.00 prdatl_mcore.prdatl28@ph.liv.ac.uk 49993.42 1.00 pilatl_score.pilatl24@ph.liv.ac.uk 96069.21 1000.00 prdatl_score.prdatl28@ph.liv.ac.uk 202372.86 1000.00
The priority factor for the _mcore subgroup has been set to 1 , using
condor_userprio -setfactor prdatl_mcore.prdatl28@ph.liv.ac.uk 1
If the default priority factor is (say) 1000, then this makes mcore jobs much more likely to be selected to run than score jobs. Thus if a wide slot is asking for jobs, they it should get a wide job. This seems to be borne out in experience.
GROUP_SORT_EXPR
Andrew Lahiffe has had good results from the GROUP_SORT_EXPR, but I haven't tried it out yet.
Download, Install, Configure
The Fallow controller is available as an RPM in this Yum repository:
www.sysadmin.hep.ac.uk
It's an RPM so it can be installed on the ARC/Condor headnode with rpm or yum. Once installed, open
/root/scripts/runFallow.sh
script and you can modify the line that runs the script, i.e.
./fallow.py -s 350 -n 61
The -s parameter is the number of unislots (single-cores) to be reserved for multicore jobs. The -n parameter is the negotiator interval + 1. Change this to your site specific value. You can then start the fallow service, i.e.
service fallow start
It will write a log file to
/root/scripts/fallow.log
DrainBoss
DrainBoss has been superceded by Fallow, above.
Introduction to DrainBoss
If all jobs on a cluster require the same number of CPUs, e.g. all need one, or all need two etc., then you can simple load up each node with jobs until it is full and no more. When one jobs ends, another can use its slot. But a problem occurs when you try to run jobs which vary in the number of cpus they require. Consider when a node has (say) eight cores, and it running eight single core jobs. One is the first to end, and a slot becomes free. But let us say that the highest priority job in the queue is an eight core job. The newly freed slot is not wide enough to take it, so it has to wait. Should the scheduler use the slot for a waiting single core job, or hold it back for the other seven jobs to end? It it holds jobs back, then resources are wasted. If it pops another single core job into running, then the multicore job has no prospect of ever running. The solution that Condor provides to the problem has two rules: start multicore jobs in preference to single core jobs, and periodically drain down nodes so that a multicore job can fit on them. The is implemented using the Condor DEFRAG daemon. This has parameters, described in the section below, which control the way nodes are selected and drained for multicore jobs. DrainBoss provides functionality for a similar approach but has a the additional features of a process controller that is used to sense the condition of the cluster and adjust the way nodes are drained and put back into service in a way that provides a certain amount of predictability.
Process controller principles
A process controller provides a feedback control system. It measures some variable, and compares this to some ideal value, called a setpoint, finding the error. It corrects the process to try to bring the error to the setpoint, eliminating the error. There are a large number of algorithms used to compute the correction, but DrainBoss makes use of the first two terms of the well-known Proportional Integral Derivative (PID) control algorithm, i.e. it's a PI controller. The proportional term sets the correction proportionally to the size of the error. This is sometimes called the gain of the controller. This is sufficient for many fast acting processes, but any process involving the draining of compute nodes is likely to have a period of some hours or days. In this application, pure proportional control is too sensitive to time lags and the control would be very poor. This, in this application, the proportional is used but it has a very low gain to damp down its sensitivity. The second term, integral action, is more important in this application. Integral actions sums (i.e. integrates, hence the name) the size of the error over time and feeds that in to the controller output as well. Thus, as the area under the error build over time, the control output grows to offset it. This eventually overcomes the offset and returns the measured variable to the set point.
Application
There are a few particulars to this application that affect the design of the controller.
First, the prime objectives of the system are to maximise the usage of the cluster and get good throughput of both single-core and multicore jobs. A good controller might be able to achieve this but there are a few problems to deal with.
- Minimal negative corrections: To achieve control, the controller usually only puts more nodes into drain state. It never stops nodes draining, with one exception - once a drain starts, it usually completes. The purpose of this policy is that drains represent a cost to the system, and cancelling throws away ant achievement made from the draining. Just because there are few multicore jobs ion the queue at present doesn't mean some might not crop up at any time. It appears that cancelling drains, and throwing away the achievement made from the draining, could easily be premature. Instead, the nodes are left to drain out and put back into service, just in case a multicore jobs comes along and needs the slot. The only exception to this rules is when there are no multicore or single core jobs in the queue. In this case, the single core jobs are potentially being held back for now reason., It thins unique case, all draining is immediately cancelled to allow the single core nodes to be run.
- Traffic problems: on a cluster, there is no guarantee that a constant supply of multicore jobs and single core jobs is available. There could be periods when the queue is depleted of one or both types of work. The controller will deal with these issues in the best way it can using these rules. If there are no multicore jobs queued, then it's pointless to start draining any systems because there are no jobs to fill the resulting wide slots. Also, if there are no multicore jobs but some single core jobs are queued, then the controller cancels the on-going drains to let the single core jobs run, otherwise the jobs would be held back for no valid reason. The truth table below shows the simple picture.
| Queue state | ||||
| mc jobs queued | no | yes | no | yes |
| sc jobs queued | no | no | yes | yes |
| Actions | ||||
| start drain if nec. | no | yes | no | yes |
| cancel on-going drains | no | no | yes | no |
Tuning
Tuning was done entirely by hand although there are technical ways to tune the system more accurately that I hope to research in future.
Current status
blah
Download
The DrainBoss controller is available as an RPM in this Yum repository:
www.sysadmin.hep.ac.uk
The DEFRAG daemon
This is the traditional approach to defragmentation used in the the initial version of the example build of an ARC/Condor cluster. It uses the DEFRAG daemon that comes with condor. To configure this set-up, you need to edit on the server the condor_config.local on the server, and create a script, set_defrag_parameters.sh, to control the amount of defragging. The script is operated by a cron job. Full details on this configuration are given ihte section of server files, above. The meaning of some important fragmentation parameters used to control the DEFRAG daemon is discussed next.
- DEFRAG_INTERVAL – How often the daemon evaluates defrag status and sets systems draining.
- DEFRAG_REQUIREMENTS – Only machines that fit these requirements will start to drain.
- DEFRAG_DRAINING_MACHINES_PER_HOUR – Only this many machines will be set off draining each hour.
- DEFRAG_MAX_WHOLE_MACHINES – Don't start any draining if you already have this many whole machines.
- DEFRAG_MAX_CONCURRENT_DRAINING – Never drain more than this many machines at once.
- DEFRAG_RANK – This allows you to prefer some machines over others to drain.
- DEFRAG_WHOLE_MACHINE_EXPR – This defines whether a certain machine is whole or not.
- DEFRAG_CANCEL_REQUIREMENTS – Draining will be stopped when a draining machine matches these requirements.
Note: The meaning of the ClassAds and parameters used to judge the fragmentation state of a machine is Byzantine in its complexity. The following definitions have been learned from experience.
The multicore set-up in CONDOR makes use of the idea of a abstract Partitonable Slot (PSlot) that can't run jobs but contains real slots of various sizes that can. In our set-up, every node has a single PSlot on it. Smaller "real" slots are made from it, each with either 1 single simultaneous thread of execution (a unislot) or 8 unislots for multicore jobs. The table below shows the meaning of some ClassAds used to express the usage of a node that is currently runing seven single core jobs (I think it's taken from an E5620 CPU).
The ClassAds in the first columns (Pslot) have the following meanings. DetectedCpus shows that the node has 16 hyper-threads in total - this is the hardware limit for simultaneous truly concurrent threads. The next row, TotalSlots, shows the size of the PSlot on this node. In this case, only 10 unislots can ever be used for jobs, unusing 6 unislots (note: it has been found that total throughput does not increase even if all the unislots are used so it is not inefficient to unuse 6 unislots.) Next, TotalSlots is equal to 8 in this case, which represents the total of all the used unislots in the sub slots, plus 1 to represent the PSlot. A value of 8 shows that this PSlot currently has seven of its unislots used by sub slots, and three unused. These could be used to make new sub slots to run jobs in. The last ClassAd, Cpus, represents the usable unislots in the PSlot that are left over (i.e. 3).
With respect to the sub slot columns, the DetectedCpus and TotalSlots values can be ignored as they are always the same. Both TotalSlot and Cpus in the sub slot columns represent how many unislots are in this sub slot.
It's as clear as mud, isn't it? But my experiments show it is consistent.
| PSlot | Sub slot | Sub Slot | Sub Slot | Sub Slot | Sub Slot | Sub Slot | Sub Slot | Empty 3 unislots |
|---|---|---|---|---|---|---|---|---|
| DetectedCpus: How Many HyperThreads e.g. 16 |
Ignore | Ignore | Ignore | Ignore | Ignore | Ignore | Ignore | Empty |
| TotalSlotCpus: How many CPUs can be used e.g. 10 |
Ignore | Ignore | Ignore | Ignore | Ignore | Ignore | Ignore | Empty |
| TotalSlots: Total of main plus all sub slots e.g. 8 |
TotalSlots: How many unislots in this sub slot. e.g. 1 |
TotalSlots: How many unislots in this sub slot. e.g. 1 |
TotalSlots: How many unislots in this sub slot. e.g. 1 |
TotalSlots: How many unislots in this sub slot. e.g. 1 |
TotalSlots: How many unislots in this sub slot. e.g. 1 |
TotalSlots: How many unislots in this sub slot. e.g. 1 |
TotalSlots: How many unislots in this sub slot. e.g. 1 |
Empty |
| Cpus: Usable unislots left over e.g. 3 |
As above Always the same. |
As above Always the same. |
As above Always the same. |
As above Always the same. |
As above Always the same. |
As above Always the same. |
As above Always the same. |
Empty
|
Setting Defrag Parameters
The script below is for sensing the load condition of the cluster and setting appropriate parameters for defragmentation.
- File: /root/scripts/set_defrag_parameters.sh
- Notes: This script senses changes to the running and queueing job load, and sets parameters related to defragmentation. This allows the cluster to support a load consisting of both multicore and singlecore jobs.
- Customise: Yes. You'll need to edit it it to suit your site. BTW: I'm experimenting with a swanky new version that involves a rate controlller. I'll report on that in due course.
- Content:
#!/bin/bash
#
# Change condor_defrag daemon parameters depending on what's queued
function setDefrag () {
# Get the address of the defrag daemon
defrag_address=$(condor_status -any -autoformat MyAddress -constraint 'MyType =?= "Defrag"')
# Log
echo `date` " Setting DEFRAG_MAX_CONCURRENT_DRAINING=$3, DEFRAG_DRAINING_MACHINES_PER_HOUR=$4, DEFRAG_MAX_WHOLE_MACHINES=$5 (queued multicore=$1, running multicore=$2)"
# Set configuration
/usr/bin/condor_config_val -address "$defrag_address" -rset "DEFRAG_MAX_CONCURRENT_DRAINING = $3" >& /dev/null
/usr/bin/condor_config_val -address "$defrag_address" -rset "DEFRAG_DRAINING_MACHINES_PER_HOUR = $4" >& /dev/null
/usr/bin/condor_config_val -address "$defrag_address" -rset "DEFRAG_MAX_WHOLE_MACHINES = $5" >& /dev/null
/usr/sbin/condor_reconfig -daemon defrag >& /dev/null
}
function cancel_draining_nodes () {
# Get draining nodes
for dn in `condor_status | grep Drained | sed -e "s/.*@//" -e "s/\..*//" `; do
slot1=0
condor_status -long $dn| while read line; do
# Toggle if slot1@ (not slot1_...). slot1@ lists the empty (i.e. drained) total
if $line =~ ^Name.*slot1@.*$ ; then
slot1=1
fi
if $line =~ ^Name.*slot1_.*$ ; then
slot1=0
fi
if [ $slot1 == 1 ]; then
if $line =~ ^Cpus\ \=\ (.*)$ ; then
# We must capture empty/drained total
cpus="${BASH_REMATCH[1]}"
if [ $cpus -ge 8 ]; then
# We have enough already. Pointless waiting longer.
echo Cancel drain of $dn, as we have $cpus free already
condor_drain -cancel $dn
fi
fi
fi
done
done
}
queued_mc_jobs=$(condor_q -global -constraint 'RequestCpus == 8 && JobStatus == 1' -autoformat ClusterId | wc -l)
queued_sc_jobs=$(condor_q -global -constraint 'RequestCpus == 1 && JobStatus == 1' -autoformat ClusterId | wc -l)
running_mc_jobs=$(condor_q -global -constraint 'RequestCpus == 8 && JobStatus == 2' -autoformat ClusterId | wc -l)
running_sc_jobs=$(condor_q -global -constraint 'RequestCpus == 1 && JobStatus == 2' -autoformat ClusterId | wc -l)
queued_mc_slots=`expr $queued_mc_jobs \* 8`
queued_sc_slots=$queued_sc_jobs
# Ratio control
P_SETPOINT=0.5 # When the ratio between multicore and singlecore is more than this, take action
#CONSTANTS
C_MxWM=1000 # At max, pay no heed to how many whole systems
C_MxDH=3 # At max, kick off N per hour to drain
C_MxCD=2 # At max, never more than Xth of cluster should defrag at once (for goodness sake)
C_MnWM=6 # At min, don't bother if n already whole
C_MnDH=1 # At min, only start 1 per hour max
C_MnCD=1 # At min, don't bother if n already going
C_ZWM=0 # At zero, don't bother if 0 already whole
C_ZDH=0 # At zero, only start 0 per hour max
C_ZCD=0 # At zero, don't bother if 0 already going
if [ $queued_sc_slots -le 3 ]; then
# Very few sc jobs. Max defrag.
setDefrag $queued_mc_jobs $running_mc_jobs $C_MxCD $C_MxDH $C_MxWM
else
if [ $queued_mc_slots -le 1 ]; then
# More than a couple of sc jobs, and almost no mc jobs.
# No defraging starts, cancel current defraging
setDefrag $queued_mc_jobs $running_mc_jobs $C_ZCD $C_ZDH $C_ZWM
cancel_draining_nodes
else
# More than a couple of sc jobs, and mc jobs
RATIO=`echo "$queued_mc_slots / $queued_sc_slots" | bc -l`
RESULT=$(echo "${RATIO} > ${P_SETPOINT}" | bc -l )
if [ $RESULT -eq 1 ]; then
# Surplus of MC over SC, lots of defrag.
setDefrag $queued_mc_jobs $running_mc_jobs $C_MxCD $C_MxDH $C_MxWM
else
# Not More MC than SC, little of defrag
setDefrag $queued_mc_jobs $running_mc_jobs $C_MnCD $C_MnDH $C_MnWM
fi
fi
fi
# Raise priority of MC jobs
/root/scripts/condor_q_cores.pl > /tmp/c
# Put all the MC records in one file, with I jobs only
grep ^MC /tmp/c | grep ' I ' > /tmp/mc.c
# Go over those queued multicore jobs and up thier prio
for j in `cat /tmp/mc.c | sed -e "s/\S*\s//" -e "s/ .*//"`; do condor_prio -p 6 $j; done
rm /tmp/c /tmp/mc.c
exit
This cron job runs the script periodically.
- Cron: defrag
- Purpose: Sets the defrag parameters dynamically
- Puppet stanza:
cron { "set_defrag_parameters.sh":
command => "/root/scripts/set_defrag_parameters.sh >> /var/log/set_defrag_parameters.log",
require => File["/root/scripts/set_defrag_parameters.sh"],
user => root,
minute => "*/5",
hour => "*",
monthday => "*",
month => "*",
weekday => "*",
}
Further Work
blah blah blah
