Skip to main content

MEB - MySQL Enterprise Backup

MEB - MySQL Enterprise Backup:
Backup using backup command:
#/bin/mysqlbackup \
--user=<id> \
--password=<code> \
--socket=/mysql/mysql.sock \
--backup-dir=/mysql/mysql-backup-dir-`date +'%F_%H-%M-%S'` backup

it will create directory
/mysql/mysql-backup-dir-`date +'%F_%H-%M-%S'` --> backup the database in directory /datadir which resides inside the /mysql/mysql-backup-dir....
Backup and apply log:
Add following connection id, code, and socket in /etc/my.cnf file
[mysqlbackup]
host=localhost
user=<id>
password=<code>
socket=/mysql/mysql.sock

#/bin/mysqlbackup \
--backup-dir=/mysql/mysql-backup-dir-`date +'%F_%H-%M-%S'` backup-and-apply-log

Command will create directory /mysql/mysql-backup-dir... --> backup the database --> Restore database in datadir which is inside /mysql/mysql-backup-dir
Note: Backups created with the --skip-unused-pages option cannot be restored using copy-back-and-apply-log.
Ref. https://dev.mysql.com/doc/mysql-enterprise-backup/8.0/en/backup-commands-restore.html
Backup to image - backup in one file with compression:
#/bin/mysqlbackup \
--backup-dir=/tmp/tmp-backup-dir-`date +'%F_%H-%M-%S'` \
--backup-image=/mysql/backup/`hostname`.<db_name>.mbi_$(date '+%d%b_%H%M%S') backup-to-image --compress

Backup to image - backup in one file :
#/bin/mysqlbackup \
--backup-dir=/tmp/backup-dir-`date +'%F_%H-%M-%S'` \
--backup-image=/mysql/bakcup/`hostname`.<db_name>.mbi_$(date '+%d%b_%H%M') backup-to-image
Backup to image - backup in one file date format different :
#/bin/mysqlbackup \
--backup-dir=/tmp/mts-backup-`date +'%F_%H:%M:%S'` \
--backup-image=/mysql/backup/`hostname`.<db_name>.mbi_$( date +'%F_%H:%M:%S') backup-to-image
Restore:

01. Stop mysql daemon - #systemctl stop mysqld
02. Rename existing datadir
03. Create new datadir with same name
04. Execute following command to restore datadir from image backup
05. Make sure to check datadir and files are owned by user - mysql, if not execute
#chown -R mysql:mysql /<datadir_name>
#/bin/mysqlbackup \
--backup-dir=/mysql/restore \
--backup-image=/mysql/backup/<backup.image_file_name> \
 copy-back-and-apply-log

#### Backup Incremental

/bin/mysqlbackup \
--incremental --incremental-base=history:last_backup \
--backup-dir=/tmp/mts-backup-`date +'%F_%H:%M:%S'` \
--backup-image=/mysql/backup/`hostname`.mts.incremental_image1.bi_$(date '+%d%b_%H%M%S') backup-to-image --compress


Note: backup-dir has to be empty, and datadir has to be empty to restore the database.

Labels:
Location: San Francisco, CA, USA

Comments

Post a Comment

Popular posts from this blog

MySQL InnoDB cluster troubleshooting | commands

Cluster Validation: select * from performance_schema.replication_group_members; All members should be online. select instance_name, mysql_server_uuid, addresses from  mysql_innodb_cluster_metadata.instances; All instances should return same value for mysql_server_uuid SELECT @@GTID_EXECUTED; All nodes should return same value Frequently use commands: mysql> SET SQL_LOG_BIN = 0;  mysql> stop group_replication; mysql> set global super_read_only=0; mysql> drop database mysql_innodb_cluster_metadata; mysql> RESET MASTER; mysql> RESET SLAVE ALL; JS > var cluster = dba.getCluster() JS > var cluster = dba.getCluster("<Cluster_name>") JS > var cluster = dba.createCluster('name') JS > cluster.removeInstance('root@<IP_Address>:<Port_No>',{force: true}) JS > cluster.addInstance('root@<IP add>,:<port>') JS > cluster.addInstance('root@ <IP add>,:<port> ') JS > dba.getC...
Post a Comment
Read more

Amazon RDS | Amzon Redshift | Big Data | Boost Performance with Amazon ElastiCache

Amazon RDS with Amazon ElastiCache for Performance: Amazon RDS supports - Oracle, MS SQL server, MySQL, Maria DB and PostgreSQL. It is a managed service offered by the Amazon.  Couple of customers have observed the performance issues during their journey with Amazon RDS with Oracle, MS SQL Server, MySQL, Maria DB and PostgreSQL. Amazon cloud engineers / database consultants / database architect and Amazon supports worked to-gather to boost the Amazon RDS performance by tuning the RDBMS configuration parameters using Amazon RDS parameter group , and have not achieved the SLA for Amazon RDS .  Amazon RDS with Multi AZ and Read Replica: Some of the the AWS professionals have suggested for vertical scaling of the Amazon RDS . It should works and its absolutely correct. In my opinion, it would be a good idea to think about the Amazon ElastiCache service with Amazon RDS for better performance and cost optimization also rather than vertically scaling the Amazon RDS . I would sug...
2 comments
Read more

Needs for Graph Database

Needs for Graph Database: We are living in the era of data, data is treated more precise than gold and platinum. Most of the enterprises are trying to get more insight about the data they have it as an operational / warehouse / analytical.   Ref.: https://dist.neo4j.com/wp-content/uploads/graph-example.png To get more insight into the data, it is required to see the relationship among the data points. The challenge is how to establish the relationship among data points and the answers is Graph database. Relational databases can't help to establish the relationship among data points, due to their rigid schema, and consistent schema. Relational Database issues for data set: Number of Joins:  While fetching data from relational databases, we join many tables, these joins are complex, and consume considerable amount of computing resources, which increase the query response times. Self- joins: For database ware house / business intelligence systems using RDBMS, self-JOIN are ...
1 comment
Read more