Provided by: ganeti-htools-2.15_2.15.2-3_amd64 bug

NAME

       hspace - Cluster space analyzer for Ganeti

SYNOPSIS

       hspace {backend options...} [algorithm options...] [request options...] [output options...] [-v...  | -q]

       hspace --version

       Backend options:

       { -m cluster | -L[ path ] | -t data-file | --simulate spec | -I path }

       Algorithm options:

       [ --max-cpu cpu-ratio ] [ --min-disk disk-ratio ] [ -O name... ] [ --independent-groups ]

       Request options:

       [--disk-template template ]

       [--standard-alloc disk,ram,cpu ]

       [--tiered-alloc disk,ram,cpu ]

       Output options:

       [--machine-readable[=*CHOICE*] ] [-p[fields]]

DESCRIPTION

       hspace computes how many additional instances can be fit on a cluster, while maintaining N+1 status.

       The  program  will try to place instances, all of the same size, on the cluster, until the point where we
       don't have any N+1 possible allocation.  It uses the exact same allocation algorithm as the hail ialloca‐
       tor plugin in allocate mode.

       The output of the program is designed either for human consumption (the default) or,  when  enabled  with
       the --machine-readable option (described further below), for machine consumption.  In the latter case, it
       is intended to interpreted as a shell fragment (or parsed as a key=value file).  Options which extend the
       output  (e.g.   -p,  -v)  will output the additional information on stderr (such that the stdout is still
       parseable).

       By default, the instance specifications will be read from the cluster; the options  --standard-alloc  and
       --tiered-alloc can be used to override them.

       The following keys are available in the machine-readable output of the script (all prefixed with HTS_):

       SPEC_MEM, SPEC_DSK, SPEC_CPU, SPEC_RQN, SPEC_DISK_TEMPLATE, SPEC_SPN
              These  represent  the  specifications of the instance model used for allocation (the memory, disk,
              cpu, requested nodes, disk template, spindles).

       TSPEC_INI_MEM, TSPEC_INI_DSK, TSPEC_INI_CPU, ...
              Only defined when the tiered mode allocation is enabled, these are similar to the above specifica‐
              tions but show the initial starting spec for tiered allocation.

       CLUSTER_MEM, CLUSTER_DSK, CLUSTER_CPU, CLUSTER_NODES, CLUSTER_SPN
              These represent the total memory, disk, CPU count, total nodes, and total spindles in the cluster.

       INI_SCORE, FIN_SCORE
              These are the initial (current) and final cluster score (see the hbal man page for  details  about
              the scoring algorithm).

       INI_INST_CNT, FIN_INST_CNT
              The initial and final instance count.

       INI_MEM_FREE, FIN_MEM_FREE
              The  initial  and final total free memory in the cluster (but this doesn't necessarily mean avail‐
              able for use).

       INI_MEM_AVAIL, FIN_MEM_AVAIL
              The initial and final total available memory for allocation in the cluster.  If allocating  redun‐
              dant  instances,  new  instances could increase the reserved memory so it doesn't necessarily mean
              the entirety of this memory can be used for new instance allocations.

       INI_MEM_RESVD, FIN_MEM_RESVD
              The initial and final reserved memory (for redundancy/N+1 purposes).

       INI_MEM_INST, FIN_MEM_INST
              The initial and final memory used for instances (actual runtime used RAM).

       INI_MEM_OVERHEAD, FIN_MEM_OVERHEAD
              The initial and final memory overhead, i.e.  memory used for the node itself and unaccounted memo‐
              ry (e.g.  due to hypervisor overhead).

       INI_MEM_EFF, HTS_INI_MEM_EFF
              The initial and final memory efficiency, represented as instance memory divided by total memory.

       INI_DSK_FREE, INI_DSK_AVAIL, INI_DSK_RESVD, INI_DSK_INST, INI_DSK_EFF
              Initial disk stats, similar to the memory ones.

       FIN_DSK_FREE, FIN_DSK_AVAIL, FIN_DSK_RESVD, FIN_DSK_INST, FIN_DSK_EFF
              Final disk stats, similar to the memory ones.

       INI_SPN_FREE, ..., FIN_SPN_FREE, ..
              Initial and final spindles stats, similar to memory ones.

       INI_CPU_INST, FIN_CPU_INST
              Initial and final number of virtual CPUs used by instances.

       INI_CPU_EFF, FIN_CPU_EFF
              The initial and final CPU efficiency, represented as the count of virtual instance CPUs divided by
              the total physical CPU count.

       INI_MNODE_MEM_AVAIL, FIN_MNODE_MEM_AVAIL
              The initial and final maximum per-node available memory.  This is not very useful as a metric  but
              can give an impression of the status of the nodes; as an example, this value restricts the maximum
              instance size that can be still created on the cluster.

       INI_MNODE_DSK_AVAIL, FIN_MNODE_DSK_AVAIL
              Like the above but for disk.

       TSPEC  This  parameter  holds  the pairs of specifications and counts of instances that can be created in
              the tiered allocation mode.  The value of the key is a space-separated list of values; each  value
              is  of the form memory,disk,vcpu,spindles=count where the memory, disk and vcpu are the values for
              the current spec, and count is how many instances of this spec can be created.  A  complete  value
              for this variable could be: 4096,102400,2,1=225 2560,102400,2,1=20 512,102400,2,1=21.

       KM_USED_CPU, KM_USED_NPU, KM_USED_MEM, KM_USED_DSK
              These  represents  the  metrics of used resources at the start of the computation (only for tiered
              allocation mode).  The NPU value is "normalized" CPU count, i.e.  the number of virtual  CPUs  di‐
              vided by the maximum ratio of the virtual to physical CPUs.

       KM_POOL_CPU, KM_POOL_NPU, KM_POOL_MEM, KM_POOL_DSK
              These  represents  the total resources allocated during the tiered allocation process.  In effect,
              they represent how much is readily available for allocation.

       KM_UNAV_CPU, KM_POOL_NPU, KM_UNAV_MEM, KM_UNAV_DSK
              These represents the resources left over (either free as in unallocable or allocable on their own)
              after the tiered allocation has been completed.  They represent better the actual unallocable  re‐
              sources,  because  some  other  resource has been exhausted.  For example, the cluster might still
              have 100GiB disk free, but with no memory left for instances, we cannot allocate another instance,
              so in effect the disk space is unallocable.  Note that the CPUs here  represent  instance  virtual
              CPUs, and in case the --max-cpu option hasn't been specified this will be -1.

       ALLOC_USAGE
              The  current  usage  represented  as  initial  number of instances divided per final number of in‐
              stances.

       ALLOC_COUNT
              The number of instances allocated (delta between FIN_INST_CNT and INI_INST_CNT).

       ALLOC_FAIL*_CNT
              For the last attemp at allocations (which would have increased FIN_INST_CNT with one,  if  it  had
              succeeded),  this  is  the  count  of  the failure reasons per failure type; currently defined are
              FAILMEM, FAILDISK and FAILCPU which represent errors due to not enough memory, disk and CPUs,  and
              FAILN1 which represents a non N+1 compliant cluster on which we can't allocate instances at all.

       ALLOC_FAIL_REASON
              The reason for most of the failures, being one of the above FAIL* strings.

       OK     A marker representing the successful end of the computation, and having value "1".  If this key is
              not  present  in the output it means that the computation failed and any values present should not
              be relied upon.

       Many of the INI_/FIN_ metrics will be also displayed with a TRL_ prefix, and denote the cluster status at
       the end of the tiered allocation run.

       The human output format should be self-explanatory, so it is not described further.

OPTIONS

       The options that can be passed to the program are as follows:

       --disk-template template
              Overrides the disk template for the instance read from the cluster; one of the  Ganeti  disk  tem‐
              plates (e.g.  plain, drbd, so on) should be passed in.

       --spindle-use spindles
              Override  the spindle use for the instance read from the cluster.  The value can be 0 (for example
              for instances that use very low I/O), but not negative.  For shared storage the value is ignored.

       --max-cpu=*cpu-ratio*
              The maximum virtual to physical cpu ratio, as a floating point number greater  than  or  equal  to
              one.   For  example,  specifying cpu-ratio as 2.5 means that, for a 4-cpu machine, a maximum of 10
              virtual cpus should be allowed to be in use for primary instances.  A value of exactly  one  means
              there  will  be no over-subscription of CPU (except for the CPU time used by the node itself), and
              values below one do not make sense, as that means other resources  (e.g.   disk)  won't  be  fully
              utilised due to CPU restrictions.

       --min-disk=*disk-ratio*
              The  minimum amount of free disk space remaining, as a floating point number.  For example, speci‐
              fying disk-ratio as 0.25 means that at least one quarter of disk space  should  be  left  free  on
              nodes.

       --independent-groups
              Consider  all  groups  independent.  That is, if a node that is not N+1 happy is found, ignore its
              group, but still do allocation in the other groups.  The default is to not try allocation at  all,
              if some not N+1 happy node is found.

       --accept-existing-errors
              This  is  a  strengthened form of --independent-groups.  It tells hspace to ignore the presence of
              not N+1 happy nodes and just allocate on all other nodes without introducing new  N+1  violations.
              Note  that  this tends to overestimate the capacity, as instances still have to be moved away from
              the existing not N+1 happy nodes.

       -l rounds, --max-length=*rounds*
              Restrict the number of instance allocations to this length.  This is not very useful in  practice,
              but can be used for testing hspace itself, or to limit the runtime for very big clusters.

       -p, --print-nodes
              Prints  the before and after node status, in a format designed to allow the user to understand the
              node's most important parameters.  See the man page htools(1) for more details about this option.

       -O name
              This option (which can be given multiple times) will mark nodes as being offline.   This  means  a
              couple of things:

              • instances  won't  be placed on these nodes, not even temporarily; e.g.  the replace primary move
                is not available if the secondary node is offline, since this move requires a failover.

              • these nodes will not be included in the score calculation (except  for  the  percentage  of  in‐
                stances on offline nodes)

              Note that the algorithm will also mark as offline any nodes which are reported by RAPI as such, or
              that have "?" in file-based input in any numeric fields.

       -S filename, --save-cluster=*filename*
              If  given,  the  state  of the cluster at the end of the allocation is saved to a file named file‐
              name.alloc, and if tiered allocation is enabled, the state after tiered allocation will  be  saved
              to  filename.tiered.   This allows re-feeding the cluster state to either hspace itself (with dif‐
              ferent parameters) or for example hbal, via the -t option.

       -t datafile, --text-data=*datafile*
              Backend specification: the name of the file holding node and instance information (if not collect‐
              ing via RAPI or LUXI).  This or one of the other backends must be selected.   The  option  is  de‐
              scribed in the man page htools(1).

       -m cluster
              Backend  specification: collect data directly from the cluster given as an argument via RAPI.  The
              option is described in the man page htools(1).

       -L [path]
              Backend specification: collect data directly from the master daemon, which is to be contacted  via
              LUXI (an internal Ganeti protocol).  The option is described in the man page htools(1).

       --simulate description
              Backend  specification:  similar  to the -t option, this allows overriding the cluster data with a
              simulated cluster.  For details about the description, see the man page htools(1).

       --standard-alloc disk,ram,cpu
              This option overrides the instance size read from the cluster for the  standard  allocation  mode,
              where we simply allocate instances of the same, fixed size until the cluster runs out of space.

              The specification given is similar to the --simulate option and it holds:

              • the disk size of the instance (units can be used)

              • the memory size of the instance (units can be used)

              • the vcpu count for the insance

              An  example  description  would be 100G,4g,2 describing an instance specification of 100GB of disk
              space, 4GiB of memory and 2 VCPUs.

       --tiered-alloc disk,ram,cpu
              This option overrides the instance size for the tiered allocation mode.  In this mode,  the  algo‐
              rithm  starts from the given specification and allocates until there is no more space; then it de‐
              creases the specification and tries the allocation again.  The decrease is done on the metric that
              last failed during allocation.  The argument should have the same format as for --standard-alloc.

              Also note that the normal allocation and the tiered allocation are  independent,  and  both  start
              from  the  initial  cluster state; as such, the instance count for these two modes are not related
              one to another.

       --machine-readable[=*choice*]
              By default, the output of the program is in "human-readable" format, i.e.  text descriptions.   By
              passing  this flag you can either enable (--machine-readable or --machine-readable=yes) or explic‐
              itly disable (--machine-readable=no) the machine readable format described above.

       -v, --verbose
              Increase the output verbosity.  Each usage of this option will increase the  verbosity  (currently
              more than 2 doesn't make sense) from the default of one.

       -q, --quiet
              Decrease  the  output verbosity.  Each usage of this option will decrease the verbosity (less than
              zero doesn't make sense) from the default of one.

       -V, --version
              Just show the program version and exit.

   UNITS
       By default, all unit-accepting options use mebibytes.  Using the lower-case letters of m,  g  and  t  (or
       their  longer  equivalents  of mib, gib, tib, for which case doesn't matter) explicit binary units can be
       selected.  Units in the SI system can be selected using the upper-case letters of M, G and  T  (or  their
       longer equivalents of MB, GB, TB, for which case doesn't matter).

       More details about the difference between the SI and binary systems can be read in the units(7) man page.

EXIT STATUS

       The  exist  status of the command will be zero, unless for some reason the algorithm fatally failed (e.g.
       wrong node or instance data).

BUGS

       The algorithm is highly dependent on the number of nodes; its runtime grows exponentially with this  num‐
       ber, and as such is impractical for really big clusters.

       The  algorithm doesn't rebalance the cluster or try to get the optimal fit; it just allocates in the best
       place for the current step, without taking into consideration the impact on future placements.

REPORTING BUGS

       Report bugs to project website (http://code.google.com/p/ganeti/) or contact  the  developers  using  the
       Ganeti mailing list (ganeti@googlegroups.com).

SEE ALSO

       Ganeti overview and specifications: ganeti(7) (general overview), ganeti-os-interface(7) (guest OS defin‐
       itions), ganeti-extstorage-interface(7) (external storage providers).

       Ganeti  commands:  gnt-cluster(8) (cluster-wide commands), gnt-job(8) (job-related commands), gnt-node(8)
       (node-related commands), gnt-instance(8) (instance commands), gnt-os(8) (guest  OS  commands),  gnt-stor‐
       age(8) (storage commands), gnt-group(8) (node group commands), gnt-backup(8) (instance import/export com‐
       mands), gnt-debug(8) (debug commands).

       Ganeti  daemons: ganeti-watcher(8) (automatic instance restarter), ganeti-cleaner(8) (job queue cleaner),
       ganeti-noded(8) (node daemon), ganeti-rapi(8) (remote API daemon).

       Ganeti htools: htools(1) (generic binary), hbal(1) (cluster balancer), hspace(1) (capacity  calculation),
       hail(1) (IAllocator plugin), hscan(1) (data gatherer from remote clusters), hinfo(1) (cluster information
       printer), mon-collector(7) (data collectors interface).

COPYRIGHT

       Copyright (C) 2006-2015 Google Inc.  All rights reserved.

       Redistribution  and  use in source and binary forms, with or without modification, are permitted provided
       that the following conditions are met:

       1.  Redistributions of source code must retain the above copyright notice, this list  of  conditions  and
       the following disclaimer.

       2.  Redistributions in binary form must reproduce the above copyright notice, this list of conditions and
       the following disclaimer in the documentation and/or other materials provided with the distribution.

       THIS  SOFTWARE  IS  PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED
       WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND  FITNESS  FOR  A
       PARTICULAR  PURPOSE ARE DISCLAIMED.  IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR
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Ganeti                                                                                                 HSPACE(1)