Speed up the export and import of mydumper and myloader
Mydumper and myloader are excellent third-party mysql database logical backup and recovery tools that use multi-threaded export and import. It makes up for the shortcomings of mysqldump's single thread. This article describes how to speed up the export and import of mydumper and myloader for your reference.
For other matters about mydumper and myloader, please refer to:
Mydumper installation and installation failure summary
Mydumper backup mysql database example
myloader restore mysql database example
1. Export and import based on MyIsam engine
a. Export and import tables without chunking
[root@GZAPP tmp]# mydumper -u inno -p xxx -B bsom -T tb_access_log -o /backup/tmp/
[root@GZAPP tmp]# ls -hltr
The exported data file is a single The file size is 2.6GB
total 2.6G
-rw-r--r-- 1 root root 1.6K Jul 24 08:51 bsom.tb_access_log-schema.sql
-rw-r--r -- 1 root root 214 Jul 24 08:52 metadata-rw-r--r-- 1 root root 2.6G Jul 24 08:52 bsom.tb_access_log.sql
Import based on the default number of threads, and set the number of queries per transaction to 10,000. This parameter actually has little effect at this time, because the table is myisam engine
[root@GZAPP tmp]# myloader -u inno -p xxx -B tempdb -d /backup/tmp -v 3 -q 10000
[root@GZAPP tmp]# myloader -u inno -p xxx -B tempdb -d /backup/tmp -v 3 -q 10000
** Message: 4 threads created
** Message: Creating table `tempdb`.`tb_access_log`
** Message: Thread 4 shutting down
** Message: Thread 1 restoring `bsom`.`tb_access_log` part 0
** Message: Thread 3 shutting down
** Message: Thread 2 shutting down
root@localhost[tempdb
]> show processlist;
+--------- +---------+----------+--------+---------+--------+ ---------+---------------------------------------- --------+
| Id | User | Host | db | Command | Time | State | Info |
+---------+------- --+----------+--------+---------+--------+-------- -+------------------------------------------------ +
| 4452079 | root | localhost| tempdb | Query | 0 | init | show processlist |
| 4453793 | inno | localhost| tempdb | Sleep | 420 | | NULL | | 4453794 | inno | localhost | tempdb | Query | 4 | update | INSERT INTO `tb_access_log` VALUES (506873,"325|
+---------+----------+----- -----+--------+---------+--------+---------+------ ------------------------------------------+
From the number of threads above, we can see that only a single thread is performing the insert operation
b, table partitioning Export and import
In the following example, 500MB is used for partitioning
[root@GZAPP tmp]# mydumper -u inno -p xxx -B bsom -T tb_access_log -F 500 -o /backup/tmp/ [root@GZAPP tmp]# ls -hltr total 2.6G -rw-r--r-- 1 root root 1.6K Jul 24 08:21 bsom.tb_access_log-schema.sql -rw-r--r-- 1 root root 478M Jul 24 08:21 bsom.tb_access_log.00001.sql -rw-r--r-- 1 root root 478M Jul 24 08:21 bsom.tb_access_log.00002.sql -rw-r--r-- 1 root root 478M Jul 24 08:21 bsom.tb_access_log.00003.sql -rw-r--r-- 1 root root 478M Jul 24 08:21 bsom.tb_access_log.00004.sql -rw-r--r-- 1 root root 478M Jul 24 08:22 bsom.tb_access_log.00005.sql -rw-r--r-- 1 root root 214 Jul 24 08:22 metadata -rw-r--r-- 1 root root 241M Jul 24 08:22 bsom.tb_access_log.00006.sql
It can be seen from the above that the large table tb_access_log is divided into nearly 500M Multiple files
[root@GZAPP tmp]# myloader -u inno -p xxx -B tempdb -t 6 -d /backup/tmp -v 3 ** Message: 6 threads created ** Message: Creating database `tempdb` ** Message: Creating table `tempdb`.`tb_access_log` ** Message: Thread 1 restoring `bsom`.`tb_access_log` part 3 ** Message: Thread 2 restoring `bsom`.`tb_access_log` part 5 ** Message: Thread 5 restoring `bsom`.`tb_access_log` part 4 ** Message: Thread 3 restoring `bsom`.`tb_access_log` part 6 ** Message: Thread 4 restoring `bsom`.`tb_access_log` part 1 ** Message: Thread 6 restoring `bsom`.`tb_access_log` part 2
#在下面的processlist可以看到,存在表级锁等待
+---------+-------+-----------+---------+---------+--------+-----------------------------+------------------------------------------------+
| Id | User | Host | db | Command | Time | State | Info |
+---------+-------+-----------+---------+---------+--------+-----------------------------+------------------------------------------------+
| 4452079 | root | localhost | bsom | Query | 0 | init | show processlist |
| 4452167 | inno | localhost | tempdb | Sleep | 769 | | NULL |
| 4452168 | inno | localhost | tempdb | Query | 36 | update | INSERT INTO `tb_access_log` VALUES (6367402,"0,|
| 4452169 | inno | localhost | tempdb | Query | 21 | Waiting for table level lock| INSERT INTO `tb_access_log` VALUES (12593865," |
| 4452170 | inno | localhost | tempdb | Query | 26 | Waiting for table level lock| INSERT INTO `tb_access_log` VALUES (15643029,""|
| 4452171 | inno | localhost | tempdb | Query | 6 | Waiting for table level lock| INSERT INTO `tb_access_log` VALUES (173947,"70 |
| 4452172 | inno | localhost | tempdb | Query | 15 | Waiting for table level lock| INSERT INTO `tb_access_log` VALUES (9490507,"7 |
| 4452173 | inno | localhost | tempdb | Query | 30 | Waiting for table level lock| INSERT INTO `tb_access_log` VALUES (3271602,"4 |
+---------+---------+-----------+---------+---------+--------+-----------------------------+----------------------------------------------+
c、调整myisam有关参数后导入
[root@GZ-APP-BAK01 tmp]# time myloader -u innobk -p InnoBK -B tempdb -t 6 -d /backup/tmp -v 3 ** Message: 6 threads created ** Message: Creating table `tempdb`.`tb_mobile_access_log` ** Message: Thread 1 restoring `blossom`.`tb_mobile_access_log` part 3 ** Message: Thread 6 restoring `blossom`.`tb_mobile_access_log` part 6 ** Message: Thread 2 restoring `blossom`.`tb_mobile_access_log` part 5 ** Message: Thread 3 restoring `blossom`.`tb_mobile_access_log` part 4 ** Message: Thread 4 restoring `blossom`.`tb_mobile_access_log` part 1 ** Message: Thread 5 restoring `blossom`.`tb_mobile_access_log` part 2 ** Message: Thread 6 shutting down ** Message: Thread 5 shutting down ** Message: Thread 1 shutting down ** Message: Thread 2 shutting down ** Message: Thread 4 shutting down ** Message: Thread 3 shutting down
real 266m28.903s
user 0m6.008s
sys 0m1.681s
###调整以下相关参数,后尝试再次导入,
concurrent_insert AUTO 改成 ALWAYS
bulk_insert_buffer_size 8388608 改成 256M
myisam_sort_buffer_size 67108864 改成 128M
[root@GZ-APP-BAK01 tmp]# time myloader -u innobk -p InnoBK -B tempdb -t 6 -o -d /backup/tmp -v 3 ** Message: 6 threads created ** Message: Dropping table (if exists) `tempdb`.`tb_mobile_access_log` ** Message: Creating table `tempdb`.`tb_mobile_access_log` ** Message: Thread 1 restoring `blossom`.`tb_mobile_access_log` part 3 ** Message: Thread 2 restoring `blossom`.`tb_mobile_access_log` part 6 ** Message: Thread 3 restoring `blossom`.`tb_mobile_access_log` part 5 ** Message: Thread 4 restoring `blossom`.`tb_mobile_access_log` part 4 ** Message: Thread 6 restoring `blossom`.`tb_mobile_access_log` part 1 ** Message: Thread 5 restoring `blossom`.`tb_mobile_access_log` part 2 ** Message: Thread 2 shutting down ** Message: Thread 1 shutting down ** Message: Thread 6 shutting down ** Message: Thread 5 shutting down ** Message: Thread 3 shutting down ** Message: Thread 4 shutting down
real 253m42.460s ###此时导入时间并无明显减少
user 0m5.924s
sys 0m1.637s
2、基于innodb引擎的导出导入
a、表未分块导出,数据文件大小为3.9GB
[root@GZAPP tmp]# ls -hltr total 3.9G -rw-r--r-- 1 root root 1.8K Jul 24 00:09 bscom.tb_message-schema.sql -rw-r--r-- 1 root root 3.9G Jul 24 00:25 bscom.tb_message.sql -rw-r--r-- 1 root root 215 Jul 24 09:14 metadata
###下面使用6个线程导入,实际上可以看到,只有1个线程在工作,因为数据文件只有1个
[root@GZAPP tmp]# myloader -u inno -p xxx -B tempdb -t 6 -d /backup/tmp -v 3 ** Message: 6 threads created ** Message: Creating table `tempdb`.`tb_message` ** Message: Thread 1 restoring `bscom`.`tb_message` part 0 ** Message: Thread 5 shutting down ** Message: Thread 2 shutting down ** Message: Thread 6 shutting down ** Message: Thread 3 shutting down ** Message: Thread 4 shutting down
b、表分块导出
[root@GZAPP tmp]# mydumper -u inno -p xxx -B bscom -T tb_message -F 500 -o /backup/tmp/ [root@GZAPP tmp]# ls -hltr total 3.9G -rw-r--r-- 1 root root 1.8K Jul 24 09:55 bscom.tb_message-schema.sql -rw-r--r-- 1 root root 478M Jul 24 09:55 bscom.tb_message.00001.sql -rw-r--r-- 1 root root 478M Jul 24 09:55 bscom.tb_message.00002.sql -rw-r--r-- 1 root root 478M Jul 24 09:55 bscom.tb_message.00003.sql -rw-r--r-- 1 root root 478M Jul 24 09:55 bscom.tb_message.00004.sql -rw-r--r-- 1 root root 478M Jul 24 09:55 bscom.tb_message.00005.sql -rw-r--r-- 1 root root 478M Jul 24 09:55 bscom.tb_message.00006.sql -rw-r--r-- 1 root root 478M Jul 24 09:55 bscom.tb_message.00007.sql -rw-r--r-- 1 root root 481M Jul 24 09:55 bscom.tb_message.00008.sql -rw-r--r-- 1 root root 135 Jul 24 09:55 metadata -rw-r--r-- 1 root root 93M Jul 24 09:55 bscom.tb_message.00009.sql
###下面尝试使用6线程导入,可以看到有6个线程在并发导入
[root@GZAPP tmp]# myloader -u inno -p xxx -B tempdb -t 6 -d /backup/tmp/ -v 3 ** Message: 6 threads created ** Message: Creating database `tempdb` ** Message: Creating table `tempdb`.`tb_message` ** Message: Thread 2 restoring `bscom`.`tb_message` part 5 ** Message: Thread 1 restoring `bscom`.`tb_message` part 9 ** Message: Thread 3 restoring `bscom`.`tb_message` part 1 ** Message: Thread 4 restoring `bscom`.`tb_message` part 8 ** Message: Thread 5 restoring `bscom`.`tb_message` part 4 ** Message: Thread 6 restoring `bscom`.`tb_message` part 6 ** Message: Thread 1 restoring `bscom`.`tb_message` part 7 ** Message: Thread 6 restoring `bscom`.`tb_message` part 3 ** Message: Thread 2 restoring `bscom`.`tb_message` part 2 ** Message: Thread 3 shutting down ** Message: Thread 5 shutting down ** Message: Thread 4 shutting down ** Message: Thread 1 shutting down ** Message: Thread 2 shutting down ** Message: Thread 6 shutting down
3、小结
a、mydumper在导出的时候可以根据服务器可用资源来合理地设置线程数。
b、mydumper在导出的时候尽可能地指定chunk-filesize或者rows参数以分块导出。
c、myloader在针对myisam引擎时建议调整相关参数至合理值以提高无法提高性能,主要是表级锁的问题。
d、myloader在针对innodb引擎时建议调整参数至合理值以提高性能,如以下参数等:
innodb_buffer_pool_size innodb_flush_log_at_trx_commit innodb_log_buffer_size
e、通过使用分块导出与导入可以显著利用并发来加快inndbo表导入。
f、注意mydumper导出时不会导出存储过程,函数,触发器等。
以上就是加快mydumper与myloader导出导入的内容,更多相关内容请关注PHP中文网(www.php.cn)!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

Full table scanning may be faster in MySQL than using indexes. Specific cases include: 1) the data volume is small; 2) when the query returns a large amount of data; 3) when the index column is not highly selective; 4) when the complex query. By analyzing query plans, optimizing indexes, avoiding over-index and regularly maintaining tables, you can make the best choices in practical applications.

InnoDB's full-text search capabilities are very powerful, which can significantly improve database query efficiency and ability to process large amounts of text data. 1) InnoDB implements full-text search through inverted indexing, supporting basic and advanced search queries. 2) Use MATCH and AGAINST keywords to search, support Boolean mode and phrase search. 3) Optimization methods include using word segmentation technology, periodic rebuilding of indexes and adjusting cache size to improve performance and accuracy.

Yes, MySQL can be installed on Windows 7, and although Microsoft has stopped supporting Windows 7, MySQL is still compatible with it. However, the following points should be noted during the installation process: Download the MySQL installer for Windows. Select the appropriate version of MySQL (community or enterprise). Select the appropriate installation directory and character set during the installation process. Set the root user password and keep it properly. Connect to the database for testing. Note the compatibility and security issues on Windows 7, and it is recommended to upgrade to a supported operating system.

The difference between clustered index and non-clustered index is: 1. Clustered index stores data rows in the index structure, which is suitable for querying by primary key and range. 2. The non-clustered index stores index key values and pointers to data rows, and is suitable for non-primary key column queries.

MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

In MySQL database, the relationship between the user and the database is defined by permissions and tables. The user has a username and password to access the database. Permissions are granted through the GRANT command, while the table is created by the CREATE TABLE command. To establish a relationship between a user and a database, you need to create a database, create a user, and then grant permissions.

MySQL and MariaDB can coexist, but need to be configured with caution. The key is to allocate different port numbers and data directories to each database, and adjust parameters such as memory allocation and cache size. Connection pooling, application configuration, and version differences also need to be considered and need to be carefully tested and planned to avoid pitfalls. Running two databases simultaneously can cause performance problems in situations where resources are limited.

MySQL supports four index types: B-Tree, Hash, Full-text, and Spatial. 1.B-Tree index is suitable for equal value search, range query and sorting. 2. Hash index is suitable for equal value searches, but does not support range query and sorting. 3. Full-text index is used for full-text search and is suitable for processing large amounts of text data. 4. Spatial index is used for geospatial data query and is suitable for GIS applications.
