#Mysql workbench import sql file install
#Mysql workbench import sql file upgrade

Create clustered indexes and primary keys before you load data.Performance recommendations for import and exportįor optimal data import and export performance, we recommend that you do the following: INSERT INTO innodb_table SELECT * FROM myisam_table ORDER BY primary_key_columns Use the clause ENGINE=INNODB to set the engine for creating a table, and then transfer the data into the compatible table before the migration. For example, if you have a WordPress or web app that uses the MyISAM engine, first convert the tables by migrating the data into InnoDB tables. If your source database uses another storage engine, convert to the InnoDB engine before you migrate the database. Make sure that all tables in the database use the InnoDB storage engine when you're loading data into your Azure database for MySQL. When you're migrating data from external data sources other than a MySQL database, create flat files and import them by using mysqlimport.īoth Single Server and Flexible Server support only the InnoDB storage engine.Include constraints (primary key, foreign key, and indexes), views, functions, procedures, triggers, and any other database objects that you want to migrate. When you're moving database objects other than tables, explicitly create those objects.For example, use the -include-tables or -exclude-tables switch with mysqlpump, and the -tables switch with mysqldump. By doing so, you can omit any unneeded tables from the migration to save time and resources. When you need to selectively choose a few tables to import from an existing MySQL database into your Azure MySQL database, it's best to use the import and export technique.

For other tools, go to the 'Migration Methods' section (page 22) of the MySQL to Azure Database migration guide. In the following scenarios, use MySQL tools to import and export databases into your MySQL database. In the Azure portal, look for the connection information on the Overview pane of your Azure Database for MySQL.Īdd the connection information to MySQL Workbench.ĭetermine when to use import and export techniquesįor scenarios where you want to dump and restore the entire database, use the dump and restore approach instead. The database can have the same name as the database that contains the dumped data, or you can create a database with a different name.

#Mysql workbench import sql file install

Download and install MySQL Workbench or another third-party MySQL tool for importing and exporting.Ĭreate a database on the Azure Database for MySQL serverĬreate an empty database on the Azure Database for MySQL server by using MySQL Workbench, Toad, or Navicat.

Create an Azure Database for MySQL server by using the Azure portal.

Prerequisitesīefore you begin migrating your MySQL database, you need to: This article explains two common approaches to importing and exporting data to an Azure Database for MySQL server by using MySQL Workbench.įor detailed and comprehensive migration guidance, see the migration guide resources.įor other migration scenarios, see the Database Migration Guide. For more information about migrating to Azure Database for MySQL - Flexible Server, see What's happening to Azure Database for MySQL Single Server?

#Mysql workbench import sql file upgrade

We strongly recommend for you to upgrade to Azure Database for MySQL - Flexible Server. Initially CPU peaked at 90% and DiskIO was at 200MB/s then bounced up/down from around the 75-80MB/s and has settled to a fairly consistent 17.5MB/s with a slight downward trend.Azure Database for MySQL - Single Server is on the retirement path. The VM performance graphs from vCenter show: The VM specs are:ħ50 GB disk - Thick Provisioned/Local RAID5 Storage(8x10KSAS)/Unlimited IOPS However the import takes more than 24 hours. We import it directly on the MySQL server via the command-line client by doing: The file they give me is about 37GB uncompressed. We have a couple of MySQL 5.5 servers running on Ubuntu 14.04 for our QA and DEV environments and every so often we restore a backup SQL file we get from our production OPS team so we are testing with the same data.