MySQL / MariaDB

Connect to a MySQL database and set up a workspace.

Source and Destination Databases

Before you begin

Before you begin, gather this connection information:

• Name of the server that hosts the database you want to connect to and port number

• User name and password

• Are you connecting to an SSL server?

Connect and set up the workspace

Launch Syntho and select Connect to a database, or under Create workspace, select MySQL / MariaDB. For a complete list of data connections, select More under To a Server. Then do the following:

1. Enter the name of the server that hosts the database.

2. Enter the database name to connect to the contained database.

3. Enter the port number.

4. Leave the protocol as-is. Only in very specific circumstances you may want to change this.

5. Enter the user name and password.

   Select the Require SSL option when connecting to an SSL server.

6. Select Create workspace. If Syntho can't make the connection, verify that your credentials are correct. If you still can't connect, your computer is having trouble locating the server. Contact your network administrator or database administrator.

Limitations

• Columns with the data type SET are not supported.

Connector Limitations for MySQL / MariaDB

Our MySQL and MariaDB connector, utilizing SQLAlchemy, presents certain limitations that may impact your operations:

Known Issues

• Backtick Characters in Names: While MySQL supports the use of backtick characters (`) in table and column names by escaping them, SQLAlchemy fails to escape these characters correctly. This can result in mismatches during table and column referencing in read or write operations.

• Empty SET Data Type: MySQL allows defining columns with an empty SET definition (SET('')). However, SQLAlchemy does not support this edge case, which may lead to issues when working with SET data types.

Supported data types

The table below outlines the support for various data types in terms of generator type, and if any additional processing is performed by Syntho to successfully generate and write the data.

Data Type	Type	AI-powered Generation	Mockers	Mask	Calculated Columns
INTEGER	discrete	True	True	True	True
TINYINT	discrete	True	True	True	True
SMALLINT	discrete	True	True	True	True
MEDIUMINT	discrete	True	True	True	True
BIGINT	discrete	True	True	True	True
FLOAT	continuous	True	True	True	True
DOUBLE	continuous	True	True	True	True
DOUBLE PRECISION	continuous	True	True	True	True
DECIMAL	continuous	True	True	True	True
CHAR	categorical	True	True	True	True
VARCHAR	categorical	True	True	True	True
TEXT	categorical	True	True	True	True
LONGTEXT	categorical	True	True	True	True
TINYTEXT	categorical	True	True	True	True
MEDIUMTEXT	categorical	True	True	True	True
BINARY	bytes	False	False	False	False
VARBINARY	bytes	False	False	False	False
BLOB	bytes	False	False	False	False
TINYBLOB	bytes	False	False	False	False
MEDIUMBLOB	bytes	False	False	False	False
LONGBLOB	bytes	False	False	False	False
DATE	datetime	True	True	True	False
TIME	datetime	True	True	True	False
DATETIME	datetime	True	True	True	False
TIMESTAMP	datetime	True	True	True	False
YEAR	datetime	True	True	True	False
BIT	discrete	True	True	True	True
JSON	json	False	True	False	False
ENUM	sets	False	False	False	False
SET	sets	False	False	False	False
BOOL	discrete	True	True	True	True
BOOLEAN	discrete	True	True	True	True
POINT	no active support	False	True	True	True
GEOMETRY	no active support	False	True	True	True
LINESTRING	no active support	False	True	True	True
POLYGON	no active support	False	True	True	True
MULTIPOINT	no active support	False	True	True	True
MULTILINESTRING	no active support	False	True	True	True
MULTIPOLYGON	no active support	False	True	True	True
GEOMETRYCOLLECTION	no active support	False	True	True	True

Data types that are labeled as "no active support" mean that they are not actively supported, however, you may still be able to apply generators (e.g., AI-powered generation, mask, mockers or calculated columns) to these columns. Duplication is fully supported for these types.