MySQL Enterprise Backup User's Guide (Version 9.3.0)
This section describes the performance considerations for backing up a database with MySQL Enterprise Backup. When optimizing and tuning the backup procedure, measure both the raw performance (how long it takes the backup to complete) and the amount of overhead on the database server. When measuring backup performance, consider:
The limits imposed by your backup procedures. For example, if you take a backup every 8 hours, the backup must take less than 8 hours to finish.
The limits imposed by your network and storage infrastructure. For example, if you need to fit many backups on a particular storage device, you might use compressed backups, even if that made the backup process slower.
The tradeoff between backup time and restore time. You might choose a set of options resulting in a slightly slower backup, if those options enable the restore to be much faster. See Section 13.2, “Optimizing Restore Performance” for performance information for the restore process.
After taking a full backup, subsequent backups can be performed more
quickly by doing incremental backups, where only the changed data is
backed up. For an incremental backup, specify the
--incremental
or
--incremental-with-redo-log-only
option
to mysqlbackup. See
Section 20.7, “Incremental Backup Options” for information about
these options. For usage instructions for the backup and apply
stages of incremental backups, see
Section 4.3.3, “Making a Differential or Incremental Backup”.
Compressing the backup data before transmitting it to another server involves additional CPU overhead on the database server where the backup takes place, but less network traffic and less disk I/O on the server that is the final destination for the backup data. Consider the load on your database server, the bandwidth of your network, and the relative capacities of the database and destination servers when deciding whether or not to use compression. See Section 4.3.4, “Making a Compressed Backup” and Section 20.6, “Compression Options” for information about creating compressed backups.
Compression involves a tradeoff between backup performance and restore performance. In an emergency, the time needed to uncompress the backup data before restoring it might be unacceptable. There might also be storage issues if there is not enough free space on the database server to hold both the compressed backup and the uncompressed data. Thus, the more critical the data is, the more likely that you might choose not to use compression: accepting a slower, larger backup to ensure that the restore process is as fast and reliable as possible.
As discussed later, there are a number of reasons why you might
prefer to run with the setting
innodb_file_per_table=1
.
mysqlbackup can take advantage of modern multicore CPUs and operating system threads to perform backup operations in parallel. See Section 20.10, “Performance / Scalability / Capacity Options” for the options to control how many threads are used for different aspects of the backup process. If you see that there is unused system capacity during backups, consider increasing the values for these options and testing whether doing so increases backup performance:
When tuning and testing backup performance using a RAID storage
configuration, consider the combination of option settings
--read-threads=3 --process-threads=6
--write-threads=3
. Compare against the combination
--read-threads=1 --process-threads=6
--write-threads=1
.
When tuning and testing backup performance using a non-RAID
storage configuration, consider the combination of option
settings --read-threads=1 --process-threads=6
--write-threads=1
.
When you increase the values for any of the 3
“threads” options, also increase the value of the
--limit-memory
option, to give the
extra threads enough memory to do their work.
If the CPU is not too busy (less than 80% CPU utilization),
increase the value of the
--process-threads
option.
If the storage device that you are backing up from (the source
drive) can handle more I/O requests, increase the value of the
--read-threads
option.
If the storage device that you are backing up to (the
destination drive) can handle more I/O requests, increase the
value of the --write-threads
option
(not applicable to single-file backups, which always use a
single write thread).
Depending on your operating system, you can measure resource
utilization using commands such as top,
iostat, sar,
dtrace, or a graphical performance monitor. Do
not increase the number of read or write threads once the system
iowait
value reaches approximately 20%.
Although mysqlbackup backs up InnoDB tables
without interrupting database use, the final stage that copies
non-InnoDB files (such as MyISAM tables and
.sdi
files) temporarily puts those tables
into a read-only state, using the statement FLUSH
TABLES
. For best backup performance and
minimal impact on database processing:
tbl_name [, tbl_name]
...
WITH READ LOCK
Then the time where non-InnoDB tables are read-locked will be
short and the normal processing of mysqld
will not be disturbed much. If the preceding conditions are
not met in your database application, use the
--only-innodb
option to back up
only InnoDB tables, or use the
--no-locking
option. Note that
files copied under the --no-locking
setting
cannot be guaranteed to have consistent data.
For a large database server, a backup run might take a long time. Always check that mysqlbackup has completed successfully, either by verifying that mysqlbackup returned exit code 0, or by observing that mysqlbackup has printed the text “mysqlbackup completed OK!”.
Schedule backups during periods when no DDL operations involving tables are running. See Appendix B, Limitations of MySQL Enterprise Backup for restrictions on backups at the same time as DDL operations.
For data processing operations, you might know the conventional
advice that Unix sockets are faster than TCP/IP for communicating
with the database server. Although the
mysqlbackup command supports the options
--protocol=tcp
,
--protocol=socket
, and
--protocol=pipe
, these options
do not have a significant effect on backup or restore performance.
These processes involve file-copy operations rather than
client/server network traffic. The database server communication
controlled by the --protocol
option is low-volume. For example, mysqlbackup
retrieves information about database server parameters through the
database server connection, but not table or index data.
If certain tables or databases contain non-critical information, or are rarely updated, you can leave them out of your most frequent backups and back them up on a less frequent schedule. See Section 20.8, “Partial Backup and Restore Options” for information about the relevant options, and Section 4.3.5, “Making a Partial Backup” for instructions about leaving out data from specific tables, databases, or storage engines. Partial backups are faster because they copy, compress, and transmit a smaller volume of data.
To minimize the overall size of InnoDB
data
files, consider enabling the MySQL configuration option
innodb_file_per_table
. This option
can minimize data size for InnoDB
tables in
several ways:
It prevents the InnoDB
system tablespace from
ballooning in size, allocating disk space that can afterwards
only be used by MySQL. For example, sometimes huge amounts of
data are only needed temporarily, or are loaded by mistake or
during experimentation. Without the
innodb_file_per_table
option,
the system tablespace expands to hold all this data, and never
shrinks afterward.
It immediately frees the disk space taken up by an
InnoDB
table and its indexes when the table
is dropped or truncated. Each table and its associated indexes
are represented by a .ibd
file that is deleted or emptied by these DDL operations.
It allows unused space within a .ibd
file to
be reclaimed by the OPTIMIZE
TABLE
statement, when substantial amounts of data are
removed or indexes are dropped.
It enables partial backups where you back up some
InnoDB
tables and not others, as discussed in
Section 4.3.5, “Making a Partial Backup”.
It allows the use of table compression for InnoDB tables.
In general, using table compression by having
ROW_FORMAT=COMPRESSED
decreases table sizes and
increase backup and restore performance. However, as a trade-off,
table compression can potentially increase redo log sizes and thus
slow down incremental backups and restores, as well as
apply-log
operations. See
How Compression Works for InnoDB Tables for details.
Avoid creating indexes that are not used by queries. Because indexes
take up space in the backup data, unnecessary indexes slow down the
backup process. (The copying and scanning mechanisms used by
mysqlbackup do not rely on indexes to do their
work.) For example, it is typically not helpful to create an index
on each column of a table, because only one index is used by any
query. Because the primary key columns are included in each
InnoDB
secondary index, it wastes space to define
primary keys composed of numerous or lengthy columns, or multiple
secondary indexes with different permutations of the same columns.
If you store the backup data on a separate machine, and that machine is not as busy the machine hosting the database server, you can offload some postprocessing work (the apply-log phase) to that separate machine. Apply-log Operation
There is always a performance tradeoff between doing the apply-log
phase immediately after the initial backup (makes restore faster),
or postponing it until right before the restore (makes backup
faster). In an emergency, restore performance is the most important
consideration. Thus, the more crucial the data is, the more
important it is to run the apply-log phase immediately after the
backup. Either combine the backup and apply-log phases on the same
server by specifying the
backup-and-apply-log
option, or perform
the fast initial backup, transfer the backup data to another server,
and then perform the apply-log phase using one of the options from
Apply-log Operation.