Azure Database for Flexible MySQL with User Assigned Read Replica for better performance

A simple demonstration to improve the read performance of the database for reporting and anlaytics using Read Replicas

🎯 Solution

🧰 Prerequisites

This demo, along with its instructions, scripts, and Bicep template, has been specifically designed to be executed in the northeurope region. However, with minimal modifications, you can also try running it in other regions of your choice (the specific steps for doing so are not covered in this context)
- 🛠 Azure CLI Installed & Configured - Get help here
- 🛠 Azure Function Core Tools - Get help here
- 🛠 Bicep Installed & Configured - Get help here
  - 🛠 [Optional] VS Code & Bicep Extenstions - Get help here
- jq - Get help here
- bash or git bash - Get help here

⚙️ Setting up the environment

Get the application code

git clone https://github.com/miztiik/azure-web-server-to-mysql.git
cd azure-web-server-to-mysql

🚀 Prepare the local environment

Ensure you have jq, Azure Cli and bicep working
```
jq --version
func --version
bicep --version
bash --version
az account show
```
🚀 Deploying the Solution
- Stack: Main Bicep The params required for the modules are in params.json. Modify them as needed. The helper deployment script deploy.sh will deploy the main.bicep file. This will create the following resoureces
  - Resource Group(RG)
  - VNet, Subnet & Virtual Machine
  - Virtual Machine(Ubuntu) - 1 - Defined in params.json named vmCount
    - Bootstrapped with custom libs using userData script - Installs Nginx
    - Install Azure Monitoring Agent
  - User Managed Identity - Identity attached to the VM with the following permissions,
    - Monitoring Metrics Publisher
  - Azure Database for MySQL Server - Flexible
    - Admin User
    - Admin Password
    - SQL Version - 8.0
    - Apparently Northeurope doesn't support high availability for Flexible servers as of Q2-2023
  - Read Replica - Same config as the Primary.
  Note - I hacked the template from another repo of mine, so you will see some unused resources(log analytics workspace/queues etc.,). You can safely ignore them, But do remember to clean up your Resource Group to avoid unnecessary costs.
```
# make deploy
sh deployment_scripts/deploy.sh
```
After successfully deploying the stack, Check the Resource Groups/Deployments section for the resources.

🔬 Testing the solution

Login to your VM, You can find the public IP address in the resource blade. You can also get it from the Azure Portal. You may also try connecting to the database from local machine if you have mysql client, In this case, lets use the Azure VM as it is already bootstrapped with the mysql client
```
ssh miztiik@<PUBLIC_IP_ADDRESS>
```
You can find the Primary Database Server name from the resource blade.

#!/bin/bash

HOST='store-backend-mysql-replication-db-003.mysql.database.azure.com'
PORT=3306
USERNAME='miztiik'
PASSWORD=''

REPLICA_NAME="store-backend-read-replica-0030.mysql.database.azure.com"


# Database and Table Details
DATABASE="miztiik_store_backend_db"
TABLE="store_events"

# Maximum record count for the for loop
RECORD_COUNT=10

# Connect to MySQL and create database
mysql -h "$HOST" -P "$PORT" -u "$USERNAME" -p"$PASSWORD" <<EOF
CREATE DATABASE $DATABASE;
EOF

# Switch to the newly created database
mysql -h "$HOST" -P "$PORT" -u "$USERNAME" -p"$PASSWORD" -e "USE $DATABASE;"

# Create table
mysql -h "$HOST" -P "$PORT" -u "$USERNAME" -p"$PASSWORD" -e "CREATE TABLE IF NOT EXISTS $DATABASE.$TABLE (id INT PRIMARY KEY, ts TIMESTAMP, msg VARCHAR(255));"

# Insert records using for loop
for ((i=1; i<=RECORD_COUNT; i++))
do
RANDOM_INCREMENT=$((RANDOM % 10 + 1))
MESSAGE="Hello World from Miztiiik $RANDOM_INCREMENT"
mysql -h "$HOST" -P "$PORT" -u "$USERNAME" -p"$PASSWORD" -e "INSERT INTO $DATABASE.$TABLE (id, ts, msg) VALUES ($i, CURRENT_TIMESTAMP, '$MESSAGE');"
done

# Verify inserted records
mysql -h "$HOST" -P "$PORT" -u "$USERNAME" -p"$PASSWORD" -e "SELECT * FROM $DATABASE.$TABLE;"

Connect to the Replica

# Retrieve from read replica
mysql -h "$REPLICA_NAME" -P "$PORT" -u "$USERNAME" -p"$PASSWORD" -e "SELECT * FROM $DATABASE.$TABLE;"

You can also try the same SQL Workbench or any other MySQL client.

root@m-web-srv-mysql-replication-003-0:~# mysql -h "$REPLICA_NAME" -P "$PORT" -u "$USERNAME" -e "SELECT * FROM $DATABASE.$TABLE;" -p
Enter password:
+----+---------------------+-----------------------------+
| id | ts                  | msg                         |
+----+---------------------+-----------------------------+
|  1 | 2023-05-28 16:46:13 | Hello World from Miztiiik 2 |
|  2 | 2023-05-28 16:46:13 | Hello World from Miztiiik 9 |
|  3 | 2023-05-28 16:46:13 | Hello World from Miztiiik 9 |
|  4 | 2023-05-28 16:46:13 | Hello World from Miztiiik 6 |
|  5 | 2023-05-28 16:46:13 | Hello World from Miztiiik 2 |
|  6 | 2023-05-28 16:46:13 | Hello World from Miztiiik 4 |
|  7 | 2023-05-28 16:46:13 | Hello World from Miztiiik 1 |
|  8 | 2023-05-28 16:46:13 | Hello World from Miztiiik 9 |
|  9 | 2023-05-28 16:46:13 | Hello World from Miztiiik 9 |
| 10 | 2023-05-28 16:46:13 | Hello World from Miztiiik 2 |
+----+---------------------+-----------------------------+
root@m-web-srv-mysql-replication-003-0:~#

Check Replication Lag - We are looking for Seconds_Behind_Source value. Anything greater than 0 indicates lag.

 mysql> SHOW SLAVE STATUS\G;
 *************************** 1. row ***************************
                Slave_IO_State:
                   Master_Host: store-backend-mysql-replication-db-003.mysql.database.azure.com
                   Master_User: az00b30d89d55f64
                   Master_Port: 3306
                Connect_Retry: 60
             Master_Log_File: mysql-bin.000001
          Read_Master_Log_Pos: 3603
                Relay_Log_File: relay_bin-azure_group_sync.000002
                Relay_Log_Pos: 4199
       Relay_Master_Log_File: mysql-bin.000001
             Slave_IO_Running: No
             Slave_SQL_Running: Yes
             Replicate_Do_DB:
          Replicate_Ignore_DB:
          Replicate_Do_Table:
       Replicate_Ignore_Table: mysql.plugin
       Replicate_Wild_Do_Table:
 Replicate_Wild_Ignore_Table: mysql.\_\_%
                   Last_Errno: 0
                   Last_Error:
                Skip_Counter: 0
          Exec_Master_Log_Pos: 7385
             Relay_Log_Space: 157
             Until_Condition: None
                Until_Log_File:
                Until_Log_Pos: 0
          Master_SSL_Allowed: Yes
          Master_SSL_CA_File: /app/work/azure_mysqlservice.pem
          Master_SSL_CA_Path:
             Master_Server_Id: 0
                   Master_UUID:
             Master_Info_File: mysql.slave_master_info
                   SQL_Delay: 0
          SQL_Remaining_Delay: NULL
       Slave_SQL_Running_State: Replica has read all relay log; waiting for more updates
          Master_Retry_Count: 86400
                   Master_Bind:
       Last_IO_Error_Timestamp:
    Last_SQL_Error_Timestamp:
                Master_SSL_Crl:
          Master_SSL_Crlpath:
          Retrieved_Gtid_Set:
             Executed_Gtid_Set:
                Auto_Position: 0
          Replicate_Rewrite_DB:
                Channel_Name: azure_group_sync
          Master_TLS_Version:
       Master_public_key_path:
       Get_master_public_key: 0
             Network_Namespace:
 1 row in set, 1 warning (0.00 sec)

 ERROR:
 No query specified

 mysql> SHOW REPLICA STATUS\G;
 *************************** 1. row ***************************
             Replica_IO_State: 
                   Source_Host: store-backend-mysql-replication-db-003.mysql.database.azure.com
                   Source_User: az00b30d89d55f64
                   Source_Port: 3306
                Connect_Retry: 60
             Source_Log_File: mysql-bin.000001
          Read_Source_Log_Pos: 3603
                Relay_Log_File: relay_bin-azure_group_sync.000002
                Relay_Log_Pos: 4199
       Relay_Source_Log_File: mysql-bin.000001
          Replica_IO_Running: No
          Replica_SQL_Running: Yes
             Replicate_Do_DB:
          Replicate_Ignore_DB:
          Replicate_Do_Table:
       Replicate_Ignore_Table: mysql.plugin
       Replicate_Wild_Do_Table:
 Replicate_Wild_Ignore_Table: mysql.\_\_%
                   Last_Errno: 0
                   Last_Error:
                Skip_Counter: 0
          Exec_Source_Log_Pos: 7385
             Relay_Log_Space: 157
             Until_Condition: None
                Until_Log_File:
                Until_Log_Pos: 0
          Source_SSL_Allowed: Yes
          Source_SSL_CA_File: /app/work/azure_mysqlservice.pem
          Source_SSL_CA_Path:
             Source_SSL_Cert: /app/work/azure_mysqlclient_cert.pem
             Source_SSL_Cipher:
                Source_SSL_Key: /app/work/azure_mysqlclient_key.pem
       Seconds_Behind_Source: 0
 Source_SSL_Verify_Server_Cert: No
                Last_IO_Errno: 0
                Last_IO_Error:
                Last_SQL_Errno: 0
                Last_SQL_Error:
 Replicate_Ignore_Server_Ids:
             Source_Server_Id: 0
                   Source_UUID:
             Source_Info_File: mysql.slave_master_info
                   SQL_Delay: 0
          SQL_Remaining_Delay: NULL
    Replica_SQL_Running_State: Replica has read all relay log; waiting for more updates
          Source_Retry_Count: 86400
                   Source_Bind:
       Last_IO_Error_Timestamp:
    Last_SQL_Error_Timestamp:
                Source_SSL_Crl:
          Source_SSL_Crlpath:
          Retrieved_Gtid_Set:
             Executed_Gtid_Set:
                Auto_Position: 0
          Replicate_Rewrite_DB:
                Channel_Name: azure_group_sync
          Source_TLS_Version:
       Source_public_key_path:
       Get_Source_public_key: 0
             Network_Namespace:
 1 row in set (0.00 sec)

 ERROR:
 No query specified

📒 Conclusion

In this demonstration, we have shown how to use read replicas to improve performance of Flexible Mysql from Azure VM.
🧹 CleanUp

If you want to destroy all the resources created by the stack, Execute the below command to delete the stack, or you can delete the stack from console as well
- Resources created during Deploying The Solution
- Any other custom resources, you have created for this demo
```
# Delete from resource group
az group delete --name Miztiik_Enterprises_xxx --yes
# Follow any on-screen prompt
```
This is not an exhaustive list, please carry out other necessary steps as maybe applicable to your needs.

📌 Who is using this

This repository aims to show how to Bicep to new developers, Solution Architects & Ops Engineers in Azure.

💡 Help/Suggestions or 🐛 Bugs

Thank you for your interest in contributing to our project. Whether it is a bug report, new feature, correction, or additional documentation or solutions, we greatly value feedback and contributions from our community. Start here

👋 Buy me a coffee

Buy me a coffee ☕.

📚 References

Azure Docs: Just In Time Access

🏷️ Metadata

Level: 100

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
.github		.github
.vscode		.vscode
app		app
deployment_scripts		deployment_scripts
dist		dist
images		images
modules		modules
Makefile		Makefile
README.MD		README.MD
main.bicep		main.bicep
params.json		params.json

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Azure Database for Flexible MySQL with User Assigned Read Replica for better performance

🎯 Solution

🧰 Prerequisites

⚙️ Setting up the environment

🚀 Prepare the local environment

🚀 Deploying the Solution

🔬 Testing the solution

📒 Conclusion

🧹 CleanUp

📌 Who is using this

💡 Help/Suggestions or 🐛 Bugs

👋 Buy me a coffee

📚 References

🏷️ Metadata

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Azure Database for Flexible MySQL with User Assigned Read Replica for better performance

🎯 Solution

🧰 Prerequisites

⚙️ Setting up the environment

🚀 Prepare the local environment

🚀 Deploying the Solution

🔬 Testing the solution

📒 Conclusion

🧹 CleanUp

📌 Who is using this

💡 Help/Suggestions or 🐛 Bugs

👋 Buy me a coffee

📚 References

🏷️ Metadata

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