Working with Managed Service for MySQL® databases

This section provides the basic information about working with Managed Service for MySQL®.

To work with a Managed Service for MySQL® database, follow these steps:

1. Create a connection containing your database connection credentials.
2. Run a query to the database.

Example of a query for reading data from Managed Service for MySQL®:

SELECT * FROM mysql_mdb_connection.my_table

Where:

• mysql_mdb_connection: Name of the DB connection you created.
• my_table: Name of the table in the database.

Setting up a connectionSetting up a connection

To create a connection to Managed Service for MySQL®:

1. In the management console, select the folder where you want to create a connection.

2. In the list of services, select Yandex Query.

3. In the left-hand panel, go to the Connections tab.

4. Click Create new.

5. Specify the connection parameters:

   1. Under General parameters:

      • Name: Name of the connection to Managed Service for MySQL®.
      • Type: Managed Service for MySQL.

   2. Under Connection type parameters:

      • Cluster: Select an existing Managed Service for MySQL® cluster or create a new one.

      • Service account: Select an existing Managed Service for MySQL® service account, or create a new one with the managed-mysql.viewer role, and use it to connect to Managed Service for MySQL® clusters.

        To use a service account, the iam.serviceAccounts.user role is required.

      • Database: Select the database you will use when working with the MySQL® cluster.

      • Login: Username to use when connecting to MySQL® databases.

      • Password: User password to use when connecting to MySQL® databases.

6. Click Create.

You need a service account to detect Managed Service for MySQL® cluster connection points inside Yandex Cloud. You need a separate login/password pair to access data.

Query syntaxQuery syntax

Here is the SQL query format used to access MySQL®:

SELECT * FROM <connection>.<table_name>

Where:

• <connection>: Name of the DB connection you created.
• <table_name>: Name of the table in the database.

LimitationsLimitations

There are several limitations when working with MySQL® clusters.

• External sources are only available for data reading through SELECT requests. Yandex Query does not currently support requests that modify tables in external sources.

• YQ uses the Yandex Managed Service for YDB type system. However, the ranges of acceptable values for types used in YDB for date and time operations (Date, Datetime, and Timestamp) often turn out to be insufficiently wide to cover the values of the relevant MySQL® types (date, datetime, and timestamp). Therefore, YQ returns date and time values read from MySQL® as plain strings (Optional<Utf8> type) in ISO-8601 format.

Filter pushdownFilter pushdown

Yandex Query can transfer processing of request parts to the data source system. This means that filter expressions are provided through Yandex Query directly to the database for processing; these are typically the query conditions specified in WHERE. This kind of processing is called filter pushdown.

Filter pushdown is possible when using:

Supported data types for filter pushdown:

Supported data typesSupported data types

In a MySQL DB, the optionality of column values (whether or not the column can contain NULL values) does not depend on the type system. The NOT NULL constraint for any column of any table is stored as a value of the IS_NULLABLE column in the INFORMATION_SCHEMA.COLUMNS system table, i.e., at the table metadata level. Thus, by default, all MySQL® base types can contain NULL values and the YQ type system will represent them as optional types.

The table below shows how MySQL® and Yandex Query types map. All other data types except those listed are not supported.