If you want to process the change events from MySQL, you can define filters and transformations inside your pipeline.įinally, create a deployment for your pipeline to start streaming changeĮvents from your Cloud SQL for MySQL instance to your data sink.Today, we’re looking at MySQL vs MS SQL Server. Next, create a new pipeline in DataCater that consumes the data source weĬreated for Cloud SQL for MySQL and publishes data to your data sink. You can chooseįrom any of the supported data sink types, e.g., Google Cloud BigQuery, Navigate to Data sinks and create a new data sink. In the case that the connection to Cloud SQL for MySQL fails, (1) check if the Cloud SQL MySQL instance is still running, (2) verify that you have provided correct credentials, and (3) check if DataCater has network access to your Cloud SQL for MySQL instance.įinally, click on Create data source to save everything. Then press on the test connection button to test the connection to Cloud SQL MySQL. Table Name: Provide the name of the MySQL table of interest.Database Name: Provide the name of the MySQL database of interest.Server Timezone: Provide the timezone of the Cloud SQL for MySQL instance, if you are using any other than the default one.Password: Provide the password of the user that you created earlier.Username: Provide the name of the user that you created earlier.SSL establishes secure communication between two networked systems and is recommended. SSL: This parameter specifies whether the connection to Cloud SQL MySQL requires SSL or not.Port: Insert the port number of the MySQL instance here.Hostname or IP: Insert the instance name or public address of the Cloud SQL for MySQL instance.Next, provide the connection credentials of your Cloud SQL for MySQL Sign up for a free DataCater trial unless you already have an account.Īfter signing in to DataCater Cloud, click on Data Sources at the top and choose MySQL as the data source type. Create data source for Cloud SQL for MySQL in DataCater In this case, you can assign the needed permissions to the group. You might also consider working with user groups instead of single GRANT SELECT, RELOAD, SHOW DATABASES, REPLICATION SLAVE, REPLICATION CLIENT ON *.* TO datacater Make sure that the created user has the permissions needed for accessingĬonnect to the MySQL instance using the command line tool mysqlĪnd execute the following action (assuming that your user is called Provide a username and password and click Add. Click Add user account and add a new user for DataCater: Next, create a separate MySQL user for DataCater. Save the configuration by clicking Done and Save. Go to the instance in your cloud console and click onĪdd a new network and provide DataCater Cloud as the name andĭataCater’s public IP address 20.79.84.135 for the network: So we need to grant DataCater appropriate permission to access our Cloud SQL for MySQL instance. Allow DataCater to access your Cloud SQL instanceīy default, external networks (services outside the jurisdiction of Google Cloud Platform) can’t access GCP services. If not, please create a new Google Cloud SQL for MySQL instance. In the following article, we assume that you have an existing instance up and running. Technically, DataCater extracts change events from the Binlog of MySQL using Debezium. We can use change data capture to monitor the health status of the microservices in real-time, allowing us to take immediate action. Example data in Google Cloud SQL for MySQLĪnytime a service is not reachable by other services, the column access_status is updated and set to No.
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