Data management at Niagara: Difference between revisions

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= Data Management = <!--T:110-->
= Data Management = <!--T:110-->
Understanding the various file systems, and how to use them properly, is critical to optimizing your workflow and being a good SciNet citizen.  This page describes the various Niagara file systems, and how to properly use them.
==Performance== <!--T:115-->
[http://en.wikipedia.org/wiki/IBM_General_Parallel_File_System GPFS] is a high-performance filesystem which provides rapid reads and writes to large datasets in parallel from many nodes.  As a consequence of this design, however, '''the file system performs quite ''poorly'' at accessing data sets which consist of many, small files.'''  For instance, you will find that reading data in from one 16MB file is enormously faster than from 400 40KB files. Such small files are also quite wasteful of space, as the blocksize for the scratch and project filesystems is 16MB. This is something you should keep in mind when planning your input/output strategy for runs on SciNet.
<!--T:116-->
For instance, if you run multi-process jobs, having each process write to a file of its own is not an scalable I/O solution. A directory gets locked by the first process accessing it, so all other processes have to wait for it. Not only has the code just become considerably less parallel, chances are the file system will have a time-out while waiting for your other processes, leading your program to crash mysteriously.
Consider using MPI-IO (part of the MPI-2 standard), which allows files to be opened simultaneously by different processes, or using a dedicated process for I/O to which all other processes send their data, and which subsequently writes this data to a single file.
== Purpose of each file system ==
== Purpose of each file system ==
Niagara accesses several different file systems.  Note that not all of these file systems are available to all users.
=== /home ===
=== /home ===
/home is intended primarily for individual user files, common software or small datasets used by others in the same group, provided it does not exceed individual quotas. Otherwise you may consider /scratch or /project. /home is read-only on the compute nodes.
/home is intended primarily for individual user files, common software or small datasets used by others in the same group, provided it does not exceed individual quotas. Otherwise you may consider /scratch or /project. /home is read-only on the compute nodes.
Line 17: Line 28:
/archive is a nearline storage pool, if you want to temporarily offload semi-active material from any of the above file systems. In practice users will offload/recall material as part of their regular workflow, or when they hit their quotas on scratch or project. That material can remain on HPSS for a few months to a few years. Note that on niagara /archive is only available to groups with RAC allocation.
/archive is a nearline storage pool, if you want to temporarily offload semi-active material from any of the above file systems. In practice users will offload/recall material as part of their regular workflow, or when they hit their quotas on scratch or project. That material can remain on HPSS for a few months to a few years. Note that on niagara /archive is only available to groups with RAC allocation.


==Performance== <!--T:115-->
== Quotas and purging ==
[http://en.wikipedia.org/wiki/IBM_General_Parallel_File_System GPFS] is a high-performance filesystem which provides rapid reads and writes to large datasets in parallel from many nodes.  As a consequence of this design, however, '''the file system performs quite ''poorly'' at accessing data sets which consist of many, small files.''' For instance, you will find that reading data in from one 16MB file is enormously faster than from 400 40KB files. Such small files are also quite wasteful of space, as the blocksize for the scratch and project filesystems is 16MB. This is something you should keep in mind when planning your input/output strategy for runs on SciNet.
You should familiarize yourself with the [[Data_Management#Purpose_of_each_file_system | various file systems]], what purpose they serve, and how to properly use them.  This table summarizes the various file systems.   


<!--T:116-->
{| class="wikitable"
For instance, if you run multi-process jobs, having each process write to a file of its own is not an scalable I/O solution. A directory gets locked by the first process accessing it, so all other processes have to wait for it. Not only has the code just become considerably less parallel, chances are the file system will have a time-out while waiting for your other processes, leading your program to crash mysteriously.
! location
Consider using MPI-IO (part of the MPI-2 standard), which allows files to be opened simultaneously by different processes, or using a dedicated process for I/O to which all other processes send their data, and which subsequently writes this data to a single file.
!colspan="2"| quota
!align="right"| block size
! expiration time
! backed up
! on login nodes
! on compute nodes
|-
| $HOME
|colspan="2"| 100 GB per user
|align="right"| 1 MB
|
| yes
| yes
| read-only
|-
|rowspan="6"| $SCRATCH
|colspan="2"| 25 TB per user provided group quota is not reached
|align="right" rowspan="6" | 16 MB
|rowspan="6"| 2 months
|rowspan="6"| no
|rowspan="6"| yes
|rowspan="6"| yes
|-
|align="right"|groups of up to 4 users
|align="right"|50TB for the group
|-
|align="right"|groups of up to 11 users
|align="right"|125TB for the group
|-
|align="right"|groups of up to 28 users
|align="right"|250TB for the group
|-
|align="right"|groups of up to 60 users
|align="right"|400TB for the group
|-
|align="right"|groups with over 60 users
|align="right"|500TB for the group
|-
| $PROJECT
|colspan="2"| by group allocation
|align="right"| 16 MB
|
| yes
| yes
| yes
|-
| $ARCHIVE
|colspan="2"| by group allocation
|align="right"|
|
| dual-copy
| no
| no
|-
| $BBUFFER
|colspan="2"| 10 TB per user
|align="right"| 1 MB
| very short
| no
| yes
| yes
|}


<!--T:41-->
<!--T:41-->
Line 32: Line 104:
<li>Backup means a recent snapshot, not an achive of all data that ever was.</li>
<li>Backup means a recent snapshot, not an achive of all data that ever was.</li>
<li><p><code>$BBUFFER</code> stands for [https://docs.scinet.utoronto.ca/index.php/Burst_Buffer Burst Buffer], a faster parallel storage tier for temporary data.</p></li></ul>
<li><p><code>$BBUFFER</code> stands for [https://docs.scinet.utoronto.ca/index.php/Burst_Buffer Burst Buffer], a faster parallel storage tier for temporary data.</p></li></ul>


== Moving data == <!--T:42-->
== Moving data == <!--T:42-->

Revision as of 14:37, 27 September 2018

Data Management[edit]

Understanding the various file systems, and how to use them properly, is critical to optimizing your workflow and being a good SciNet citizen. This page describes the various Niagara file systems, and how to properly use them.

Performance[edit]

GPFS is a high-performance filesystem which provides rapid reads and writes to large datasets in parallel from many nodes. As a consequence of this design, however, the file system performs quite poorly at accessing data sets which consist of many, small files. For instance, you will find that reading data in from one 16MB file is enormously faster than from 400 40KB files. Such small files are also quite wasteful of space, as the blocksize for the scratch and project filesystems is 16MB. This is something you should keep in mind when planning your input/output strategy for runs on SciNet.

For instance, if you run multi-process jobs, having each process write to a file of its own is not an scalable I/O solution. A directory gets locked by the first process accessing it, so all other processes have to wait for it. Not only has the code just become considerably less parallel, chances are the file system will have a time-out while waiting for your other processes, leading your program to crash mysteriously. Consider using MPI-IO (part of the MPI-2 standard), which allows files to be opened simultaneously by different processes, or using a dedicated process for I/O to which all other processes send their data, and which subsequently writes this data to a single file.

Purpose of each file system[edit]

Niagara accesses several different file systems. Note that not all of these file systems are available to all users.

/home[edit]

/home is intended primarily for individual user files, common software or small datasets used by others in the same group, provided it does not exceed individual quotas. Otherwise you may consider /scratch or /project. /home is read-only on the compute nodes.

/scratch[edit]

/scratch is to be used primarily for temporary or transient files, for all the results of your computations and simulations, or any material that can be easily recreated or reacquired. You may use scratch as well for any intermediate step in your workflow, provided it does not induce too much IO or too many small files on this disk-based storage pool, otherwise you should consider burst buffer (/bb). Once you have your final results, those that you want to keep for the long term, you may migrate them to /project or /archive. /scratch is purged on a regular basis and has no backups.

/project[edit]

/project is intended for common group software, large static datasets, or any material very costly to be reacquired or re-generated by the group. Material on /project is expected to be relatively immutable over time. Temporary or transient files should be kept on scratch, not project. High data turnover induces the consumption of a lot of tapes on the TSM backup system, long after this material has been deleted, due to backup retention policies and the extra versions kept of the same file. Users abusing the project file system and using it as scratch will be flagged and contacted. Note that on niagara /project is only available to groups with RAC allocation.

/bb (burst buffer)[edit]

/bb is basically a very fast, very high performance alternative to /scratch, made of solid-state drives (SSD). You may request this resource instead, if you anticipate a lot of IO/IOPs (too much for scratch) or when you notice your job is not performing well running on scratch or project because of IO bottlenecks. Keep in mind, we can only offer 232TB for all niagara users at any given time. Once you get your results you may bundle/tarball them and move to scratch, project or archive. /bb is purged very frequently.

/archive[edit]

/archive is a nearline storage pool, if you want to temporarily offload semi-active material from any of the above file systems. In practice users will offload/recall material as part of their regular workflow, or when they hit their quotas on scratch or project. That material can remain on HPSS for a few months to a few years. Note that on niagara /archive is only available to groups with RAC allocation.

Quotas and purging[edit]

You should familiarize yourself with the various file systems, what purpose they serve, and how to properly use them. This table summarizes the various file systems.

location quota block size expiration time backed up on login nodes on compute nodes
$HOME 100 GB per user 1 MB yes yes read-only
$SCRATCH 25 TB per user provided group quota is not reached 16 MB 2 months no yes yes
groups of up to 4 users 50TB for the group
groups of up to 11 users 125TB for the group
groups of up to 28 users 250TB for the group
groups of up to 60 users 400TB for the group
groups with over 60 users 500TB for the group
$PROJECT by group allocation 16 MB yes yes yes
$ARCHIVE by group allocation dual-copy no no
$BBUFFER 10 TB per user 1 MB very short no yes yes


Moving data[edit]

using rsync/scp[edit]

Move amounts less than 10GB through the login nodes.

  • Niagara login nodes and datamovers are visible from outside SciNet.
  • Use scp or rsync to niagara.scinet.utoronto.ca or niagara.computecanada.ca (no difference).
  • This will time out for amounts larger than about 10GB.

Move amounts larger than 10GB through the datamover nodes.

  • From a Niagara login node, ssh to nia-datamover1 or nia-datamover2.
  • Transfers must originate from this datamover.
  • The other side (e.g. your machine) must be reachable from the outside.
  • You may also login/scp/rsync directly to the datamovers from the outside:
 nia-datamover1.scinet.utoronto.ca
 nia-datamover2.scinet.utoronto.ca
  • If you do this often, consider using Globus, a web-based tool for data transfer.

Moving data to HPSS/Archive/Nearline using the scheduler.

  • HPSS is a tape-based storage solution, and is SciNet's nearline a.k.a. archive facility.
  • Storage space on HPSS is allocated through the annual Compute Canada RAC allocation.

using globus[edit]

If you regularly move more than 10GB, consider using globus, a web-based data transfer tool.

Please check the comprehensive documentation here and here..

The Niagara "endpoint" for globus is "computecanada#niagara"

Message Passing Interface

Resource Allocation Competition

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