Read replicas in Azure Database for MySQL
APPLIES TO: 
Azure Database for MySQL - Single Server
Important
Azure Database for MySQL single server is on the retirement path. We strongly recommend that you upgrade to Azure Database for MySQL flexible server. For more information about migrating to Azure Database for MySQL flexible server, see What's happening to Azure Database for MySQL Single Server?
The read replica feature allows you to replicate data from an Azure Database for MySQL server to a read-only server. You can replicate from the source server to up to five replicas. Replicas are updated asynchronously using the MySQL engine's native binary log (binlog) file position-based replication technology. To learn more about binlog replication, see the MySQL binlog replication overview.
Replicas are new servers that you manage similar to regular Azure Database for MySQL servers. For each read replica, you're billed for the provisioned compute in vCores and storage in GB/ month.
To learn more about MySQL replication features and issues, see the MySQL replication documentation.
Note
This article contains references to the term slave, a term that Microsoft no longer uses. When the term is removed from the software, we'll remove it from this article.
When to use a read replica
The read replica feature helps to improve the performance and scale of read-intensive workloads. Read workloads can be isolated to the replicas, while write workloads can be directed to the source.
A common scenario is to have BI and analytical workloads use the read replica as the data source for reporting.
Because replicas are read-only, they don't directly reduce write-capacity burdens on the source. This feature isn't targeted at write-intensive workloads.
The read replica feature uses MySQL asynchronous replication. The feature isn't meant for synchronous replication scenarios. There will be a measurable delay between the source and the replica. The data on the replica eventually becomes consistent with the data on the source. Use this feature for workloads that can accommodate this delay.
Cross-region replication
You can create a read replica in a different region from your source server. Cross-region replication can be helpful for scenarios like disaster recovery planning or bringing data closer to your users.
You can have a source server in any Azure Database for MySQL region. A source server can have a replica in its paired region or the universal replica regions. The following picture shows which replica regions are available depending on your source region.
Universal replica regions
You can create a read replica in any of the following regions, regardless of where your source server is located. The supported universal replica regions include:
| Region | Replica availability |
|---|---|
| Australia East | ✔️ |
| Australia South East | ✔️ |
| Brazil South | ✔️ |
| Canada Central | ✔️ |
| Canada East | ✔️ |
| Central US | ✔️ |
| East US | ✔️ |
| East US 2 | ✔️ |
| East Asia | ✔️ |
| Japan East | ✔️ |
| Japan West | ✔️ |
| Korea Central | ✔️ |
| Korea South | ✔️ |
| North Europe | ✔️ |
| North Central US | ✔️ |
| South Central US | ✔️ |
| Southeast Asia | ✔️ |
| Switzerland North | ✔️ |
| UK South | ✔️ |
| UK West | ✔️ |
| West Central US | ✔️ |
| West US | ✔️ |
| West US 2 | ✔️ |
| West Europe | ✔️ |
| Central India* | ✔️ |
| France Central* | ✔️ |
| UAE North* | ✔️ |
| South Africa North* | ✔️ |
Note
*Regions where Azure Database for MySQL has General purpose storage v2 in Public Preview
*For these Azure regions, you will have an option to create server in both General purpose storage v1 and v2. For the servers created with General purpose storage v2 in public preview, you are limited to create replica server only in the Azure regions which support General purpose storage v2.
Paired regions
In addition to the universal replica regions, you can create a read replica in the Azure paired region of your source server. If you don't know your region's pair, you can learn more from the Azure Paired Regions article.
If you're using cross-region replicas for disaster recovery planning, we recommend you create the replica in the paired region instead of one of the other regions. Paired regions avoid simultaneous updates and prioritize physical isolation and data residency.
However, there are limitations to consider:
Regional availability: Azure Database for MySQL is available in France Central, UAE North, and Germany Central. However, their paired regions aren't available.
Uni-directional pairs: Some Azure regions are paired in one direction only. These regions include West India, Brazil South, and US Gov Virginia. This means that a source server in West India can create a replica in South India. However, a source server in South India can't create a replica in West India. This is because West India's secondary region is South India, but South India's secondary region isn't West India.
Create a replica
Important
- The read replica feature is only available for Azure Database for MySQL servers in the General Purpose or Memory Optimized pricing tiers. Ensure the source server is in one of these pricing tiers.
- If your source server has no existing replica servers, source server might need a restart to prepare itself for replication depending upon the storage used (v1/v2). Please consider server restart and perform this operation during off-peak hours. See Source Server restart for more details.
When you start the create replica workflow, a blank Azure Database for MySQL server is created. The new server is filled with the data that was on the source server. The creation time depends on the amount of data on the source and the time since the last weekly full backup. The time can range from a few minutes to several hours. The replica server is always created in the same resource group and same subscription as the source server. If you want to create a replica server to a different resource group or different subscription, you can move the replica server after creation.
Every replica is enabled for storage auto-grow. The auto-grow feature allows the replica to keep up with the data replicated to it, and prevent an interruption in replication caused by out-of-storage errors.
Learn how to create a read replica in the Azure portal.
Connect to a replica
At creation, a replica inherits the firewall rules of the source server. Afterwards, these rules are independent from the source server.
The replica inherits the admin account from the source server. All user accounts on the source server are replicated to the read replicas. You can only connect to a read replica by using the user accounts that are available on the source server.
You can connect to the replica by using its hostname and a valid user account, as you would on a regular Azure Database for MySQL server. For a server named myreplica with the admin username myadmin, you can connect to the replica by using the mysql CLI:
mysql -h myreplica.mysql.database.azure.com -u myadmin@myreplica -p
At the prompt, enter the password for the user account.
Monitor replication
Azure Database for MySQL provides the Replication lag in seconds metric in Azure Monitor. This metric is available for replicas only. This metric is calculated using the seconds_behind_master metric available in MySQL's SHOW SLAVE STATUS command. Set an alert to inform you when the replication lag reaches a value that isn't acceptable for your workload.
If you see increased replication lag, refer to troubleshooting replication latency to troubleshoot and understand possible causes.
Stop replication
You can stop replication between a source and a replica. After replication is stopped between a source server and a read replica, the replica becomes a standalone server. The data in the standalone server is the data that was available on the replica at the time the stop replication command was started. The standalone server doesn't catch up with the source server.
When you choose to stop replication to a replica, it loses all links to its previous source and other replicas. There's no automated failover between a source and its replica.
Important
The standalone server can't be made into a replica again. Before you stop replication on a read replica, ensure the replica has all the data that you require.
Learn how to stop replication to a replica.
Failover
There's no automated failover between source and replica servers.
Since replication is asynchronous, there's lag between the source and the replica. The amount of lag can be influenced by many factors like how heavy the workload running on the source server is and the latency between data centers. In most cases, replica lag ranges between a few seconds to a couple minutes. You can track your actual replication lag using the metric Replica Lag, which is available for each replica. This metric shows the time since the last replayed transaction. We recommend that you identify what your average lag is by observing your replica lag over a period of time. You can set an alert on replica lag, so that if it goes outside your expected range, you can take action.
Tip
If you failover to the replica, the lag at the time you delink the replica from the source will indicate how much data is lost.
After you've decided you want to failover to a replica:
Stop replication to the replica
This step is necessary to make the replica server able to accept writes. As part of this process, the replica server will be delinked from the source. After you initiate stop replication, the backend process typically takes about 2 minutes to complete. See the stop replication section of this article to understand the implications of this action.Point your application to the (former) replica
Each server has a unique connection string. Update your application to point to the (former) replica instead of the source.
After your application is successfully processing reads and writes, you've completed the failover. The amount of downtime your application experiences will depend on when you detect an issue and complete steps 1 and 2 listed previously.
Global transaction identifier (GTID)
Global transaction identifier (GTID) is a unique identifier created with each committed transaction on a source server and is OFF by default in Azure Database for MySQL. GTID is supported on versions 5.7 and 8.0 and only on servers that support storage up to 16 TB(General purpose storage v2). To learn more about GTID and how it's used in replication, refer to MySQL's replication with GTID documentation.
MySQL supports two types of transactions: GTID transactions (identified with GTID) and anonymous transactions (don't have a GTID allocated)
The following server parameters are available for configuring GTID:
| Server parameter | Description | Default Value | Values |
|---|---|---|---|
gtid_mode |
Indicates if GTIDs are used to identify transactions. Changes between modes can only be done one step at a time in ascending order (ex. OFF -> OFF_PERMISSIVE -> ON_PERMISSIVE -> ON) |
OFF |
OFF: Both new and replication transactions must be anonymous OFF_PERMISSIVE: New transactions are anonymous. Replicated transactions can either be anonymous or GTID transactions. ON_PERMISSIVE: New transactions are GTID transactions. Replicated transactions can either be anonymous or GTID transactions. ON: Both new and replicated transactions must be GTID transactions. |
enforce_gtid_consistency |
Enforces GTID consistency by allowing execution of only those statements that can be logged in a transactionally safe manner. This value must be set to ON before enabling GTID replication. |
OFF |
OFF: All transactions are allowed to violate GTID consistency. ON: No transaction is allowed to violate GTID consistency. WARN: All transactions are allowed to violate GTID consistency, but a warning is generated. |
Note
After GTID is enabled, you cannot turn it back off. If you need to turn GTID OFF, please contact support.
To change GTID's from one value to another can only be one step at a time in ascending order of modes. For example, if gtid_mode is currently set to OFF_PERMISSIVE, it is possible to change to ON_PERMISSIVE but not to ON.
To keep replication consistent, you cannot update it for a master/replica server.
Recommended to SET enforce_gtid_consistency to ON before you can set gtid_mode=ON
To enable GTID and configure the consistency behavior, update the gtid_mode and enforce_gtid_consistency server parameters using the Azure portal, Azure CLI, or PowerShell.
If GTID is enabled on a source server (gtid_mode = ON), newly created replicas will also have GTID enabled and use GTID replication. In order to make sure that the replication is consistent, gtid_mode cannot be changed once the master or replica server(s) is created with GTID enabled.
Considerations and limitations
Pricing tiers
Read replicas are currently only available in the General Purpose and Memory Optimized pricing tiers.
Note
The cost of running the replica server is based on the region where the replica server is running.
Source server restart
Server that has General purpose storage v1, the log_bin parameter will be OFF by default. The value will be turned ON when you create the first read replica. If a source server has no existing read replicas, source server will first restart to prepare itself for replication. Please consider server restart and perform this operation during off-peak hours.
Source server that has General purpose storage v2, the log_bin parameter will be ON by default and does not require a restart when you add a read replica.
New replicas
A read replica is created as a new Azure Database for MySQL server. An existing server can't be made into a replica. You can't create a replica of another read replica.
Replica configuration
A replica is created by using the same server configuration as the source. After a replica is created, several settings can be changed independently from the source server: compute generation, vCores, storage, and backup retention period. The pricing tier can also be changed independently, except to or from the Basic tier.
Important
Before a source server configuration is updated to new values, update the replica configuration to equal or greater values. This action ensures the replica can keep up with any changes made to the source.
Firewall rules and parameter settings are inherited from the source server to the replica when the replica is created. Afterwards, the replica's rules are independent.
Stopped replicas
If you stop replication between a source server and a read replica, the stopped replica becomes a standalone server that accepts both reads and writes. The standalone server can't be made into a replica again.
Deleted source and standalone servers
When a source server is deleted, replication is stopped to all read replicas. These replicas automatically become standalone servers and can accept both reads and writes. The source server itself is deleted.
User accounts
Users on the source server are replicated to the read replicas. You can only connect to a read replica using the user accounts available on the source server.
Server parameters
To prevent data from becoming out of sync and to avoid potential data loss or corruption, some server parameters are locked from being updated when using read replicas.
The following server parameters are locked on both the source and replica servers:
The event_scheduler parameter is locked on the replica servers.
To update one of the above parameters on the source server, delete replica servers, update the parameter value on the source, and recreate replicas.
GTID
GTID is supported on:
- MySQL versions 5.7 and 8.0.
- Servers that support storage up to 16 TB. Refer to the pricing tier article for the full list of regions that support 16 TB storage.
GTID is OFF by default. After GTID is enabled, you can't turn it back off. If you need to turn GTID OFF, contact support.
If GTID is enabled on a source server, newly created replicas will also have GTID enabled and use GTID replication. To keep replication consistent, you can't update gtid_mode on the source or replica server(s).
Other
- Creating a replica of a replica isn't supported.
- In-memory tables may cause replicas to become out of sync. This is a limitation of the MySQL replication technology. Read more in the MySQL reference documentation for more information.
- Ensure the source server tables have primary keys. Lack of primary keys may result in replication latency between the source and replicas.
- Review the full list of MySQL replication limitations in the MySQL documentation