sync (Unix)

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sync is a standard system call in the Unix operating system, which commits to non-volatile storage all data in the kernel filesystem buffers, i.e., data which has been scheduled for writing via low-level I/O system calls. Higher-level I/O layers such as stdio may maintain separate buffers of their own.

As a function in C, the sync() call is typically declared as void sync(void) in <unistd.h>. The system call is also available via a command line utility also called sync, and similarly named functions in other languages such as Perl and Node.js (in the fs module).

The related system call fsync() commits just the buffered data relating to a specified file descriptor.[1] fdatasync() is also available to write out just the changes made to the data in the file, and not necessarily the file's related metadata.[2]

Unix systems typically run some kind of flush or update daemon, which calls the sync function on a regular basis. On some systems, the cron daemon does this, and on Linux it was handled by the pdflush daemon which was replaced by a new implementation and finally removed from linux kernel in 2012.[3] Buffers are also flushed when filesystems are unmounted or remounted read-only[citation needed], for example prior to system shutdown.

Database use[edit]

In order to provide proper durability, databases need to use some form of sync in order to make sure the information written has made it to non-volatile storage rather than just being stored in a memory-based write cache that would be lost if power failed. PostgreSQL for example may use a variety of different sync calls, including fsync() and fdatasync(), in order for commits to be durable.[4] Unfortunately, for any single client writing a series of records, a rotating hard drive can only commit once per rotation, which makes for at best a few hundred such commits per second.[5] Turning off the fsync requirement can therefore greatly improve commit performance, but at the expense of potentially introducing database corruption after a crash.

Databases also employ transaction log files (typically much smaller than the main data files) that have information about recent changes, such that changes can be reliably redone in case of crash; then the main data files can be synced less often.

Error reporting and checking[edit]

To avoid any data loss return values of fsync() should be checked because when performing I/O operations that are buffered by the library or the kernel, errors may not be reported at the time of using the write() system call or the fflush() call, since the data may not be written to non-volatile storage but only be written to the memory page cache. Errors from writes are instead often reported during system calls to fsync(), msync() or close().[6] Prior to 2018 fsync() behavior under certain circumstances failed to report error status,[7][8] change behavior was proposed on 23 April 2018.[9]

Performance Controversies[edit]

Hard disks may default to using their own volatile write cache to buffer writes, which greatly improves performance while introducing a potential for lost writes.[10] Tools such as hdparm -F will instruct the HDD controller to flush the on-drive write cache buffer. The performance impact of turning caching off is so large that even the normally conservative FreeBSD community rejected disabling write caching by default in FreeBSD 4.3.[11]

In SCSI and in SATA with Native Command Queuing (but not in plain ATA, even with TCQ) the host can specify whether it wants to be notified of completion when the data hits the disk's platters or when it hits the disk's buffer (on-board cache). Assuming a correct hardware implementation, this feature allows the disk's on-board cache to be used while guaranteeing correct semantics for system calls like fsync.[12] This hardware feature is called Force Unit Access (FUA) and it allows consistency with less overhead than flushing the entire cache as done for ATA (or SATA non-NCQ) disks.[13] Although Linux enabled NCQ around 2007, it did not enable SATA/NCQ FUA until 2012, citing lack of support in the early drives.[14][15]

Firefox 3.0, released in 2008,fsync has been found to slow down their performance after the introduction of fsync system calls; the call was introduced in order to guarantee the integrity of the embedded sqlite database.[16] Linux Foundation chief technical officer Theodore Ts'o claims there is no need to "fear fsync", and that the real cause of Firefox 3 slowdown is the excessive use of fsync.[17] He also concedes however (quoting Mike Shaver) that "On some rather common Linux configurations, especially using the ext3 filesystem in the “data=ordered” mode, calling fsync doesn’t just flush out the data for the file it’s called on, but rather on all the buffered data for that filesystem."[18]

See also[edit]

References[edit]

  1. ^ fsync specification
  2. ^ fdatasync specification
  3. ^ http://lwn.net/Articles/508212/
  4. ^ PostgreSQL Reliability and the Write-Ahead Log
  5. ^ Tuning PostgreSQL WAL Synchronization Archived 2009-11-25 at the Wayback Machine.
  6. ^ https://lwn.net/Articles/457667/
  7. ^ https://lwn.net/Articles/752063/
  8. ^ https://lwn.net/Articles/724307/
  9. ^ https://patchwork.kernel.org/patch/10358111/
  10. ^ Write-Cache Enabled?
  11. ^ FreeBSD Handbook — Tuning Disks
  12. ^ Marshall Kirk McKusick. "Disks from the Perspective of a File System - ACM Queue". Queue.acm.org. Retrieved 2014-01-11.
  13. ^ Gregory Smith (2010). PostgreSQL 9.0: High Performance. Packt Publishing Ltd. p. 78. ISBN 978-1-84951-031-8.
  14. ^ http://www.spinics.net/lists/linux-scsi/msg61241.html
  15. ^ http://lkml.indiana.edu/hypermail/linux/kernel/0702.2/1358.html
  16. ^ http://shaver.off.net/diary/2008/05/25/fsyncers-and-curveballs/
  17. ^ http://thunk.org/tytso/blog/2009/03/15/dont-fear-the-fsync/
  18. ^ http://thunk.org/tytso/blog/2009/03/12/delayed-allocation-and-the-zero-length-file-problem/

External links[edit]