This article explains two common approaches to importing and exporting data to an Azure Database for MySQL server by using MySQL Workbench.
Before you begin
To step through this how-to guide, you need:
- An Azure Database for MySQL server, by following Create an Azure Database for MySQL server using Azure portal.
- MySQL Workbench downloaded, or another MySQL tool to import and export.
Use common tools
Use common tools such as MySQL Workbench, Toad, or Navicat to remotely connect and import or export data into Azure Database for MySQL.
Use such tools on your client machine with an Internet connection to connect to Azure Database for MySQL. Use an SSL-encrypted connection for best security practices, as described in Configure SSL connectivity in Azure Database for MySQL.
You do not need to move your import and export files to any special cloud location when migrating to Azure Database for MySQL.
Create a database on the Azure Database for MySQL server
Create an empty database on the Azure Database for MySQL server where you want to migrate the data. Use a tool such as MySQL Workbench, Toad, or Navicat to create the database. 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.
To get connected, locate the connection information on the Properties pane in Azure Database for MySQL.
Add the connection information to MySQL Workbench.
Determine when to use import and export techniques instead of a dump and restore
Use MySQL tools to import and export databases into Azure MySQL Database in the following scenarios. In other scenarios, you might benefit from using the dump and restore approach instead.
- When you need to selectively choose a few tables to import from an existing MySQL database into Azure MySQL Database, it's best to use the import and export technique. By doing so, you can omit any unneeded tables from the migration to save time and resources. For example, use the
--exclude-tablesswitch with mysqlpump and the
--tablesswitch with mysqldump.
- When you're moving the database objects other than tables, explicitly create those. Include constraints (primary key, foreign key, indexes), views, functions, procedures, triggers, and any other database objects that you want to migrate.
- When you're migrating data from external data sources other than a MySQL database, create flat files and import them by using mysqlimport.
Make sure that all tables in the database use the InnoDB storage engine when you're loading data into Azure Database for MySQL. Azure Database for MySQL supports only the InnoDB storage engine, so it doesn't support alternative storage engines. If your tables require alternative storage engines, be sure to convert them to use the InnoDB engine format before the migration to Azure Database for MySQL.
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. Then restore to Azure Database for MySQL. 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.
INSERT INTO innodb_table SELECT * FROM myisam_table ORDER BY primary_key_columns
Performance recommendations for import and export
- Create clustered indexes and primary keys before loading data. Load data in primary key order.
- Delay creation of secondary indexes until after data is loaded. Create all secondary indexes after loading.
- Disable foreign key constraints before loading. Disabling foreign key checks provides significant performance gains. Enable the constraints and verify the data after the load to ensure referential integrity.
- Load data in parallel. Avoid too much parallelism that would cause you to hit a resource limit, and monitor resources by using the metrics available in the Azure portal.
- Use partitioned tables when appropriate.
Import and export by using MySQL Workbench
There are two ways to export and import data in MySQL Workbench. Each serves a different purpose.
Table data export and import wizards from the object browser's context menu
The wizards for table data support import and export operations by using CSV and JSON files. They include several configuration options, such as separators, column selection, and encoding selection. You can perform each wizard against local or remotely connected MySQL servers. The import action includes table, column, and type mapping.
You can access these wizards from the object browser's context menu by right-clicking a table. Then choose either Table Data Export Wizard or Table Data Import Wizard.
Table Data Export Wizard
The following example exports the table to a CSV file:
- Right-click the table of the database to be exported.
- Select Table Data Export Wizard. Select the columns to be exported, row offset (if any), and count (if any).
- On the Select data for export page, click Next. Select the file path, CSV, or JSON file type. Also select the line separator, method of enclosing strings, and field separator.
- On the Select output file location page, click Next.
- On the Export data page, click Next.
Table Data Import Wizard
The following example imports the table from a CSV file:
- Right-click the table of the database to be imported.
- Browse to and select the CSV file to be imported, and then click Next.
- Select the destination table (new or existing), and select or clear the Truncate table before import check box. Click Next.
- Select encoding and the columns to be imported, and then click Next.
- On the Import data page, click Next. The wizard imports the data accordingly.
SQL data export and import wizards from the Navigator pane
Use a wizard to export or import SQL generated from MySQL Workbench or generated from the mysqldump command. Access these wizards from the Navigator pane or by selecting Server from the main menu. Then select Data Export or Data Import.
You can use the Data Export tab to export your MySQL data.
Select each schema that you want to export, optionally choose specific schema objects/tables from each schema, and generate the export. Configuration options include export to a project folder or self-contained SQL file, dump stored routines and events, or skip table data.
Alternatively, use Export a Result Set to export a specific result set in the SQL editor to another format, such as CSV, JSON, HTML, and XML.
- Select the database objects to export, and configure the related options.
- Click Refresh to load the current objects.
- Optionally, open the Advanced Options tab to refine the export operation. For example, add table locks, use replace instead of insert statements, and quote identifiers with backtick characters.
- Click Start Export to begin the export process.
You can use the Data Import tab to import or restore exported data from the data export operation or from the mysqldump command.
- Choose the project folder or self-contained SQL file, choose the schema to import into, or choose New to define a new schema.
- Click Start Import to begin the import process.
As another migration approach, read Migrate your MySQL database using dump and restore in Azure Database for MySQL.