Archiving Data with Snapshots in LVM2
In some cases, it is advised to ensure that enough storage space is allocated for the snapshot or (as discussed below) a backup directory that will contain all of the archived snapshot data for restoring purposes. To extend an existing volume group, a new PV needs to be labeled. To do so, identify the physical storage device, and using fdisk, sfdisk or parted, create the desired partition size. Verify the partition by reading back the partition table. Then, continue to create the PV:
$ sudo sfdisk -l /dev/sde
Disk /dev/sde: 261 cylinders, 255 heads, 63 sectors/track
Units = cylinders of 8225280 bytes, blocks of 1024 bytes,
counting from 0
Device Boot Start End #cyls #blocks Id System
/dev/sde1 0+ 260 261- 2096451 83 Linux
/dev/sde2 0 - 0 0 0 Empty
/dev/sde3 0 - 0 0 0 Empty
/dev/sde4 0 - 0 0 0 Empty
$ sudo pvcreate /dev/sde1
Physical volume "/dev/sde1" successfully created
Append a newly labeled PV to an existing VG with the vgextend command:
$ sudo vgextend VolGroup /dev/sde1 Volume group "VolGroup" successfully extended
If at some point the PV needs to be removed from a VG, use the vgreduce command followed by the names of the VG and the PV:
$ sudo vgreduce VolGroup /dev/sde1
If the VG is being extended for the purpose of creating a backups directory to archive routine snapshots, following the normal lvcreate procedure, define the name, size and VG for the desired LV. Then, format the LV with a filesystem, and for file I/O accessibility, mount it to a directory path:
$ sudo lvcreate --name backups --size 1G VolGroup Logical volume "backups" created $ sudo mke2fs -j /dev/VolGroup/backups $ sudo mkdir -p /mnt/VolGroup/backups $ sudo mount /dev/VolGroup/backups /mnt/VolGroup/backups
When the snapshot has been created, an archive can be made with the tar command, located in the newly created backups directory:
$ sudo tar -pczf /mnt/VolGroup/backups/rootsnapshot.tar.gz ↪/mnt/VolGroup/rootsnapshot
In an event of failure or if older revisions of files need to be retrieved, the archived snapshot can be used to restore the original data contents. This is an extremely ideal backup strategy when running a high-availability production environment. No downtime is required. Although this backup does not necessarily need to be written to a file, using the tar or dd commands, the snapshot can be written directly to another physical storage device, including a tape drive:
$ sudo tar -cf /dev/st0 /mnt/VolGroup/rootsnapshot
LVM2 comes prepackaged with some of the more common Linux-based distributions. In some cases, it even is used as part of the default filesystem layout. Its snapshot feature is one of those lesser-known treasures that really can be used to one's advantage, ranging from personal to larger-scale environments. All it takes is a little time, a little knowledge and a plan on design, deployment and configuration.
dmsetup(8)
dmsetup(8) is a low-level tool used to manage logical devices that use the device-mapper driver. The LVM2 user-space toolset relies heavily on the device-mapper kernel module and support library.
Resources
LVM HOWTO: tldp.org/HOWTO/LVM-HOWTO/snapshotintro.html
Logical Volume Manager (Wikipedia): en.wikipedia.org/wiki/Logical_Volume_Manager_(Linux)
Snapshot (Wikipedia): en.wikipedia.org/wiki/Snapshot_(computer_storage)
LVM2 Project Page: sourceware.org/lvm2
LVM2 Wiki: sources.redhat.com/lvm2/wiki
Known lvremove Bug (original no.): https://bugzilla.redhat.com/show_bug.cgi?id=577798
Known lvremove Bug for RHEL 6: https://bugzilla.redhat.com/show_bug.cgi?id=638711
Petros Koutoupis is a full-time Linux kernel, device driver and application developer for embedded and server platforms. He has been working in the data storage industry for more than six years and enjoys discussing the same technologies.
Petros Koutoupis is a full-time Linux kernel, device-driver and application developer for embedded and server platforms. He has been working in the data storage industry for more than six years and enjoys discussing the same technologies.
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Sponsored by AMD
Built-in forensics, incident response, and security with Red Hat Enterprise Linux 6
Every security policy provides guidance and requirements for ensuring adequate protection of information and data, as well as high-level technical and administrative security requirements for a system in a given environment. Traditionally, providing security for a system focuses on the confidentiality of the information on it. However, protecting the data integrity and system and data availability is just as important. For example, when processing United States intelligence information, there are three attributes that require protection: confidentiality, integrity, and availability.
Learn more about catching the bad guy in this free white paper.
Sponsored by DLT Solutions
Free Webinar: Hadoop
How to Build an Optimal Hadoop Cluster to Store and Maintain Unlimited Amounts of Data Using Microservers
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Some of key questions to be discussed are:
- What is the “typical” Hadoop cluster and what should be installed on the different machine types?
- Why should you consider the typical workload patterns when making your hardware decisions?
- Are all microservers created equal for Hadoop deployments?
- How do I plan for expansion if I require more compute, memory, storage or networking?
| Designing Electronics with Linux | May 22, 2013 |
| Dynamic DNS—an Object Lesson in Problem Solving | May 21, 2013 |
| Using Salt Stack and Vagrant for Drupal Development | May 20, 2013 |
| Making Linux and Android Get Along (It's Not as Hard as It Sounds) | May 16, 2013 |
| Drupal Is a Framework: Why Everyone Needs to Understand This | May 15, 2013 |
| Home, My Backup Data Center | May 13, 2013 |




3 hours 9 min ago
3 hours 10 min ago
5 hours 10 min ago
13 hours 55 min ago
14 hours 29 min ago
15 hours 28 min ago
16 hours 18 min ago
20 hours 20 min ago
1 day 7 min ago
1 day 15 min ago