Pool 3 66 x 91

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This would be impossible if the filesystem and the RAID array were separate products, whereas it becomes feasible when there is an integrated view of the logical and physical structure of the data.

Going through the metadata means that ZFS can validate every block against its bit checksum as it goes, whereas traditional RAID products usually cannot do this.

In addition to handling whole-disk failures, RAID-Z can also detect and correct silent data corruption , offering "self-healing data": Then, it repairs the damaged data and returns good data to the requestor.

RAID-Z and mirroring do not require any special hardware: During those weeks, the rest of the disks in the RAID are stressed more because of the additional intensive repair process and might subsequently fail, too.

ZFS has no tool equivalent to fsck the standard Unix and Linux data checking and repair tool for file systems. ZFS is a bit file system, [44] [45] so it can address 1.

The maximum limits of ZFS are designed to be so large that they should never be encountered in practice. During writes, a block may be compressed, encrypted, checksummed and then deduplicated, in that order.

The policy for encryption is set at the dataset level when datasets file systems or ZVOLs are created. The default behaviour is for the wrapping key to be inherited by any child data sets.

The data encryption keys are randomly generated at dataset creation time. Only descendant datasets snapshots and clones share data encryption keys.

ZFS will automatically allocate data storage across all vdevs in a pool and all devices in each vdev in a way that generally maximises the performance of the pool.

ZFS will also update its write strategy to take account of new disks added to a pool, when they are added. As a general rule, ZFS allocate writes across vdevs based on the free space in each vdev.

This ensures that vdevs which have proportionately less data already, are given more writes when new data is to be stored.

This helps to ensure that as the pool becomes more used, the situation does not develop that some vdevs become full, forcing writes to occur on a limited number of devices.

It also means that when data is read and reads are much more frequent than writes in most uses , different parts of the data can be read from as many disks as possible at the same time, giving much higher read performance.

Therefore, as a general rule, pools and vdevs should be managed and new storage added, so that the situation does not arise that some vdevs in a pool are almost full and others almost empty, as this will make the pool less efficient.

Pools can have hot spares to compensate for failing disks. When mirroring, block devices can be grouped according to physical chassis, so that the filesystem can continue in the case of the failure of an entire chassis.

Storage pool composition is not limited to similar devices, but can consist of ad-hoc, heterogeneous collections of devices, which ZFS seamlessly pools together, subsequently doling out space to diverse filesystems [ clarification needed ] as needed.

Arbitrary storage device types can be added to existing pools to expand their size. The storage capacity of all vdevs is available to all of the file system instances in the zpool.

A quota can be set to limit the amount of space a file system instance can occupy, and a reservation can be set to guarantee that space will be available to a file system instance.

ZFS uses different layers of disk cache to speed up read and write operations. Ideally, all data should be stored in RAM, but that is usually too expensive.

Therefore, data is automatically cached in a hierarchy to optimize performance versus cost; [51] these are often called "hybrid storage pools".

Data that is not often accessed is not cached and left on the slow hard drives. ZFS caching mechanisms include one each for reads and writes, and in each case, two levels of caching can exist, one in computer memory RAM and one on fast storage usually solid state drives SSDs , for a total of four caches.

This becomes crucial if a large number of synchronous writes take place such as with ESXi , NFS and some databases , [53] where the client requires confirmation of successful writing before continuing its activity; the SLOG allows ZFS to confirm writing is successful much more quickly than if it had to write to the main store every time, without the risk involved in misleading the client as to the state of data storage.

If there is no SLOG device then part of the main data pool will be used for the same purpose, although this is slower. If the log device itself is lost, it is possible to lose the latest writes, therefore the log device should be mirrored.

In earlier versions of ZFS, loss of the log device could result in loss of the entire zpool, although this is no longer the case. Therefore, one should upgrade ZFS if planning to use a separate log device.

A number of other caches, cache divisions, and queues also exist within ZFS. For example, each vdev has its own data cache, and the ARC cache is divided between data stored by the user and metadata used by ZFS, with control over the balance between these.

ZFS uses a copy-on-write transactional object model. All block pointers within the filesystem contain a bit checksum or bit hash currently a choice between Fletcher-2 , Fletcher-4 , or SHA [54] of the target block, which is verified when the block is read.

Blocks containing active data are never overwritten in place; instead, a new block is allocated, modified data is written to it, then any metadata blocks referencing it are similarly read, reallocated, and written.

To reduce the overhead of this process, multiple updates are grouped into transaction groups, and ZIL intent log write cache is used when synchronous write semantics are required.

The blocks are arranged in a tree, as are their checksums see Merkle signature scheme. An advantage of copy-on-write is that, when ZFS writes new data, the blocks containing the old data can be retained, allowing a snapshot version of the file system to be maintained.

ZFS snapshots are consistent they reflect the entire data as it existed at a single point in time , and can be created extremely quickly, since all the data composing the snapshot is already stored, with the entire storage pool often snapshotted several times per hour.

They are also space efficient, since any unchanged data is shared among the file system and its snapshots. Snapshots are inherently read-only, ensuring they will not be modified after creation, although they should not be relied on as a sole means of backup.

Entire snapshots can be restored and also files and directories within snapshots. Writeable snapshots "clones" can also be created, resulting in two independent file systems that share a set of blocks.

As changes are made to any of the clone file systems, new data blocks are created to reflect those changes, but any unchanged blocks continue to be shared, no matter how many clones exist.

This is an implementation of the Copy-on-write principle. ZFS file systems can be moved to other pools, also on remote hosts over the network, as the send command creates a stream representation of the file system's state.

This stream can either describe complete contents of the file system at a given snapshot, or it can be a delta between snapshots. Computing the delta stream is very efficient, and its size depends on the number of blocks changed between the snapshots.

This provides an efficient strategy, e. Dynamic striping across all devices to maximize throughput means that as additional devices are added to the zpool, the stripe width automatically expands to include them; thus, all disks in a pool are used, which balances the write load across them.

Available features allow the administrator to tune the maximum block size which is used, as certain workloads do not perform well with large blocks.

If data compression is enabled, variable block sizes are used. If a block can be compressed to fit into a smaller block size, the smaller size is used on the disk to use less storage and improve IO throughput though at the cost of increased CPU use for the compression and decompression operations.

In ZFS, filesystem manipulation within a storage pool is easier than volume manipulation within a traditional filesystem; the time and effort required to create or expand a ZFS filesystem is closer to that of making a new directory than it is to volume manipulation in some other systems.

Pools and their associated ZFS file systems can be moved between different platform architectures, including systems implementing different byte orders.

The ZFS block pointer format stores filesystem metadata in an endian -adaptive way; individual metadata blocks are written with the native byte order of the system writing the block.

When reading, if the stored endianness does not match the endianness of the system, the metadata is byte-swapped in memory.

This does not affect the stored data; as is usual in POSIX systems, files appear to applications as simple arrays of bytes, so applications creating and reading data remain responsible for doing so in a way independent of the underlying system's endianness.

Data deduplication capabilities were added to the ZFS source repository at the end of October , [56] and relevant OpenSolaris ZFS development packages have been available since December 3, build Other storage vendors use modified versions of ZFS to achieve very high data compression ratios.

Two examples in were GreenBytes [60] and Tegile. As described above, deduplication is usually not recommended due to its heavy resource requirements especially RAM and impact on performance especially when writing , other than in specific circumstances where the system and data are well-suited to this space-saving technique.

The authors of a study that examined the ability of file systems to detect and prevent data corruption, with particular focus on ZFS, observed that ZFS itself is effective in detecting and correcting data errors on storage devices, but that it assumes data in RAM is "safe", and not prone to error.

For ZFS to protect data against disk failure, it needs to be configured with redundant storage - either RAID-Z or mirrored so all data is copied to at least two disks.

If a single disk is used, redundant copies of the data should be enabled which duplicates the data on the same logical drive - this is far less safe since it is vulnerable to the failure of the single disk.

Using ZFS copies is a good feature to use on notebooks and desktop computers, since the disks are large and it at least provides some limited redundancy with just a single drive.

There are over a dozen 3rd-party distributions, of which nearly a dozen are mentioned here. OpenIndiana and illumos are two new distributions not included on the OpenSolaris distribution reference page.

ZFS version 28 used up to version a3. O3X implements zpool version , and includes the Solaris Porting Layer SPL originally written for MacZFS, which has been further enhanced to include a memory management layer based on the illumos kmem and vmem allocators.

This was derived from code included in FreeBSD 7. An update to storage pool 28 is in progress in 0. This project is a continuation of FreeNAS 7 series project.

As of 31 January , the ZPool version available is 14 for the Squeeze release, and 28 for the Wheezy-9 release.

According to the Free Software Foundation , the wording of the GPL license legally prohibits redistribution of the resulting product as a derivative work , [] [] though this viewpoint has caused some controversy.

The filesystem ran entirely in userspace instead of being integrated into the Linux kernel, and was therefore not considered a derivative work of the kernel.

This approach was functional, but suffered from significant performance penalties when compared with integrating the filesystem as a native kernel module running in kernel space.

This pool version is an unchanging number that is expected to never conflict with version numbers given by Oracle. A release supporting zpool v28 was announced in January While the license incompatibility may arise with the distribution of compiled binaries containing ZFS code, it is generally agreed that distribution of the source code itself is not affected by this.

In Gentoo , configuring a ZFS root filesystem is well documented and the required packages can be installed from its package repository.

The question of the CDDL license's compatibility with the GPL license resurfaced in , when the Linux distribution Ubuntu announced that it intended to make precompiled OpenZFS binary kernel modules available to end-users directly from the distribution's official package repositories.

A port of open source ZFS was attempted in but after a hiatus of over one year development ceased in List of Operating Systems, distributions and add-ons that support ZFS, the zpool version it supports, and the Solaris build they are based on if any:.

It was announced on September 14, , [] but development started in The name at one point was said to stand for "Zettabyte File System", [] but by was no longer considered to be an abbreviation.

Sun counter-sued in October the same year claiming the opposite. The lawsuits were ended in with an undisclosed settlement. The following is a list of events in the development of open-source ZFS implementations: The first indication of Apple Inc.

On that site, Apple provided the source code and binaries of their port of ZFS which includes read-write access, but there was no installer available [] until a third-party developer created one.

That is to say that their own hosting and involvement in ZFS was summarily discontinued. No explanation was given, just the following statement: The mailing list and repository will also be removed shortly.

Apple's "10a" source code release, and versions of the previously released source and binaries, have been preserved and new development has been adopted by a group of enthusiasts.

The project has an active mailing list. Features that are available in specific file system versions require a specific pool version. Distributed development of OpenZFS involves feature flags [83] and pool version , an unchanging number that is expected to never conflict with version numbers given by Oracle.

Legacy version numbers still exist for pool versions 1—28, implied by the version The Solaris version under development by Sun since the release of Solaris 10 in was codenamed 'Nevada', and was derived from what was the OpenSolaris codebase.

From Wikipedia, the free encyclopedia. This article is about the Sun Microsystems filesystem. For other uses, see ZFS disambiguation.

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Unsourced material may be challenged and removed. August Learn how and when to remove this template message.

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Hard disk error rates and handling and Silent data corruption. This section does not cite any sources. Please help improve this section by adding citations to reliable sources.

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You can help by adding to it. Retrieved 29 December Retrieved November 17, Retrieved November 18, Archived from the original on February 23, Retrieved April 21, So we finally decided to unpimp the name back to ZFS, which doesn't stand for anything.

Retrieved October 21, Retrieved September 29, United States Patent and Trademark Office. Retrieved October 1, Doctor of Philosophy in Computer Sciences.

Retrieved 9 June Computer Sciences Department, University of Wisconsin. Retrieved December 6, Retrieved 21 November Retrieved 26 June Retrieved October 26, This utility has traditionally served two purposes, those of file system repair and file system validation.

Retrieved 25 November Archived from the original on November 27, Archived from the original on September 5, Retrieved May 29, The Last Word in Filesystems".

Retrieved June 22, Retrieved December 19, Retrieved February 11, Retrieved November 4, Synchronous Writes and the ZIL". Archived from the original PDF on December 30, Archived from the original on Retrieved August 29, Oracle polishes ZFS diamond".

Archived from the original on February 5, Retrieved March 17, Retrieved February 13, Retrieved February 23, Flippin' off bits Weblog.

Retrieved March 1, Archived from the original on August 23, Retrieved October 19, Archived from the original on May 8, Retrieved May 22, Using the ZFS next-gen filesystem on Linux".

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