See the supported connectors for Application Integration.

Perform CRUD operations on a MySQL database

This tutorial shows you how to connect to a MySQL database instance from a sample integration and perform the list, get, create, update, and delete operations on a MySQL database table.

Before you begin

  • Ensure that you have access to Application Integration.

  • Select the Google Cloud project and perform the following tasks:

    • Grant the following roles to the service account that you want to use to create the connection:
      • roles/secretmanager.viewer
      • roles/secretmanager.secretAccessor
    • Enable the following services:
      • secretmanager.googleapis.com (Secret Manager API)
      • connectors.googleapis.com (Connectors API)

      If these services have not been enabled for your project previously, you are prompted to enable them when creating the connection.

  • Ensure that you have access to a MySQL server that you can use to create a database. For a list of all the supported connectors and the supported versions, see Connector reference.

Create a database and table in MySQL

Run the following commands from a system that has a MySQL client installed:
  1. Connect to your MySQL server: 
    mysql --host=MYSQL_HOSTNAME_OR_IP_ADDRESS --port=PORT_NUMBER -uUSERNAME -pPASSWORD
     Replace the following:
    • MYSQL_HOSTNAME_OR_IP_ADDRESS: the name or IP address of your MySQL server.
    • PORT_NUMBER: the port number for your MySQL server.
    • USERNAME: the username for your MySQL server.
    • PASSWORD: the user's password for your MySQL server.
  2. Create a MySQL database: 
    CREATE DATABASE tutorialDB;
  3. Create a table: 
    CREATE TABLE EMPLOYEE
  (
  employee_id int auto_increment primary key,
  employee_first_name varchar(500) NOT null,
  employee_last_name varchar(500) NOT null,
  employee_emailID varchar(500)
  );
  4. Add rows to the EMPLOYEE table that you created: 
    INSERT INTO EMPLOYEE (employee_first_name,employee_last_name,employee_emailID) values ("Peter","Dilliard","test-01@test.com");
INSERT INTO EMPLOYEE (employee_first_name,employee_last_name,employee_emailID) values ("Meaghan","Webb","test-02@test.com");
  5. Verify that the table is created and rows are added: 
    SELECT * FROM EMPLOYEE;
     The following table rows are displayed: 
    +-------------+---------------------+--------------------+------------------+
| employee_id | employee_first_name | employee_last_name | employee_emailID |
+-------------+---------------------+--------------------+------------------+
|           1 | Peter               | Dilliard           | test-01@test.com |
|           2 | Meaghan             | Webb               | test-02@test.com |
+-------------+---------------------+--------------------+------------------+

Create a MySQL connection

To enable an integration to connect to your MySQL database, create a new connection to your MySQL database:

  1. Click +Create new to open the Create Connection page.
  2. In the Location section, choose the location for the connection.
    1. From the Region list, select the region where you want to create the connection.

      For the list of all the supported regions, see Locations.

    2. Click Next.
  3. In the Connection Details section, enter the following details:
    1. From the Connector list, select MySQL (Preview).
    2. From the Connector version list, select the connector version.
    3. In the Connection Name field, enter a name for the connection instance.

      Connection names must meet the following criteria:

      • Use letters, numbers, or hyphens.
      • Letters must be lower-case.
      • Names must begin with a letter and end with a letter or number.
      • Names cannot exceed 49 characters.
    4. Optional: In the Description field, add a description of the connection instance.
    5. Optional: Enable Cloud Logging.
    6. From the Service Account list, select a service account that has the required roles.
    7. In the Database name field, enter the name of the MySQL database.
    8. Optionally, configure the Connection node settings:

      • Minimum number of nodes: Enter the minimum number of connection nodes.
      • Maximum number of nodes: Enter the maximum number of connection nodes.

      A node is a unit (or replica) of a connection that processes transactions. More nodes are required to process more transactions for a connection and conversely, fewer nodes are required to process fewer transactions. To understand how the nodes affect your connector pricing, see Pricing for connection nodes. If you don't enter any values, by default the minimum nodes are set to 2 (for better availability) and the maximum nodes are set to 50.

    9. Use proxy: Select this checkbox to configure a proxy server for the connection and configure the following values:
      • Proxy Auth Scheme: Select the authentication type to authenticate with the proxy server. The following authentication types are supported:
        • Basic: Basic HTTP authentication.
        • Digest: Digest HTTP authentication.
      • Proxy User: A user name to be used to authenticate with the proxy server.
      • Proxy Password: The Secret manager secret of the user's password.
      • Proxy SSL Type: The SSL type to use when connecting to the proxy server. The following authentication types are supported:
        • Auto: Default setting. If the URL is an HTTPS URL, then the Tunnel option is used. If the URL is an HTTP URL, then the NEVER option is used.
        • Always: The connection is always SSL enabled.
        • Never: The connection is not SSL enabled.
        • Tunnel: The connection is through a tunneling proxy. The proxy server opens a connection to the remote host and traffic flows back and forth through the proxy.
      • In the Proxy Server section, enter details of the proxy server.
        1. Click + Add destination.
        2. Select a Destination Type.
          • Host address: Specify the hostname or IP address of the destination.

            If you want to establish a private connection to your backend system, do the following:

    10. Optional: To add a label to the connection, click +Add Label.
    11. Click Next.
    12. In the Destinations section, enter details of the remote host (backend system) to which you want to connect.
      • From the Destination Type list, select a host address.
        • Select Host address from the list to specify the hostname or IP address of the destination.
        • If you want to establish a private connection to your backend systems, select Endpoint attachment from the list, and then select the required endpoint attachment from the Endpoint Attachment list.

        If you want to establish a public connection to your backend systems with additional security, you can consider configuring static outbound IP addresses for your connections, and then configure your firewall rules to allowlist only the specific static IP addresses.

        To enter additional destinations, click +Add Destination.

      • Click Next.
    13. In the Authentication section, you can provide credentials:
      • In the Username field, enter the MySQL username for the connection.
      • In the Password field, enter the Secret Manager secret containing the password associated with the MySQL username.
        • If you have previously created a secret, and it is not available in the list, select Enter Secret Manually. In the Add a secret by resource ID dialog, copy and paste the resource ID from the Secret Manager.
          • To use the latest version, copy and paste the resource ID from the parent secret, in the format: "projects/project-number/secrets/secret-name"
          • To select a specific version, copy and paste the resource ID for that specific version, in the format "projects/project-number/secrets/secret-name/versions/1"

          To add the secret, click Add Secret.

        • If you have not created a secret for use with MySQL, click Create New Secret. In the Create Secret dialog enter the following details:
          • In the Name field, enter the secret name.
          • In the Secret value field, enter the contents of the secret or upload a file that contains the secret.
          • Click Create Secret.
      • From the Secret version list, select the version of the Password secret from the list of available versions in the drop-down.
      • Click Next.
  4. In the Review section, review your connection and authentication details.
  5. Click Create.

Configure authentication

Enter the details based on the authentication you want to use.

  • Username and password
    • Username: The Mysql username to use for the connection.
    • Password: Secret Manager Secret containing the password associated with the Mysql username.

Configure an Integration to use the MySQL connection

To use the MySQL connection that you created in an integration, you must perform the following tasks:

  1. Create a new integration.
  2. Add and configure an API trigger.
  3. Add and configure a Connectors task.
  4. Connect the API Trigger element to the Connectors task element.

Create a new integration

  1. In the Google Cloud console, go to the Application Integration page.

    Go to Application Integration

  2. In the navigation menu, click Integrations. The Integrations page appears.
  3. Click Create integration.
  4. In the Integration name field, enter a name for your integration.
  5. Optional: In the Description field, enter a description.
  6. From the Region list, select a region for the integration. The Regions list only lists the regions provisioned in your Google Cloud project. To provision a new region, click Enable Region. For information about how to provision new regions, see Enable new region.
  7. To open the integration editor, click Create.

Add and configure an API trigger

After you create a new integration, you can add and configure an API trigger to your integration. To do so, follow these steps:

  1. In the integration editor toolbar, click Triggers to display a list of available triggers.
  2. Drag the API element to the integration editor.

Add and configure a Connectors task

To configure a Connectors task to list all the entities in the employee table, follow these steps:

  1. In the integration editor toolbar, click Tasks to display the list of available tasks.
  2. Drag the Connectors element to the integration editor.
  3. Click the Connectors task element on the designer to open the Connectors panel.
  4. In the Connectors panel, click Configure Connector.

    In the Connector Task Editor dialog that appears, follow these steps:

    1. From the Region list, select the connection region where you created your MySQL connection.
    2. From the Connection list, select the MySQL connection that you created and then click Next.
    3. In the Type section, select Entities and then click Next.
    4. From the Entity list, select employee.
    5. From the Operation list, select List and then click Next.
    6. To complete the connection configuration and close the dialog, click Done.

Connect the API Trigger element to the Connectors task element

Next, add an edge connection to connect the API trigger to the Connectors task. An edge connection is a connection between any two elements in an integration. For information about edges and edge conditions, see Edges.

To add the edge connection, follow these steps:

  1. At the bottom of the API Trigger element, click the Fork control point.
  2. Drag and drop the edge connection at the Join control point at the top of the connectors task element.

Test the Integration

To test the integration, follow these steps:

  1. In the integration editor toolbar, click Test.
  2. Optional: Change the Execution Deadline (in minutes) value, and then click Test Integration.
  3. After the integration completes successfully, the Test Integration pane displays the message Integration execution succeeded. To view the logs, click View logs.
  4. Expand the Response Parameters section. In Connector output payload, the following output is displayed: 
    [ {
    "employee_id": 1.0,
    "employee_first_name": "Peter",
    "employee_last_name": "Dilliard",
    "employee_emailID": "test-01@test.com"
  },
  {
    "employee_id": 2.0,
    "employee_first_name": "Meaghan",
    "employee_last_name": "Webb",
    "employee_emailID": "test-02@test.com"
  } ]

Perform other operations on your MySQL database table

When you configure a Connectors task in your integration, you can select any one of the following operations:

  • List
  • Get
  • Create
  • Update
  • Delete

You've already used the List operation to view all the rows in the employee table. In the following sections of this tutorial, you'll use the Get, Create, Update, and Delete operations to add, modify or remove rows from the employee table.

Get a row from a table

If you know the entity ID (or primary key) of the row that you want to fetch, provide that value as input to a Get operation in your integration. The details returned by the Get operation are similar to the details returned by the List operation. However, while the List operation fetches details of all the table rows that match the specified query, the Get operation fetches details of only the table row that matches the specified entity ID.

Remember that, while the List operation by default returns all the rows in the table, the Get operation requires an entity ID as a search parameter. So, to use the Get operation, you must know the entity ID of the row that you want to fetch, or provide a default value for the entity ID.

To get details of a specified row, perform the following steps to configure the Connectors task that you created earlier:

  1. In integration editor, click the connectors task element to view the Connectors configuration pane.
  2. In the Connectors configuration pane, click Configure Connector. In the Connector Task Editor dialog that appears, follow these steps:
    1. In the Set entities/action section, from the Operations list, select Get.
    2. Click Done.
  3. In the Connectors configuration pane, expand the Task Input section. Then, do the following:
    1. Click the entity ID.
    2. In the Edit variable dialog that appears, select Input to Integration.
    3. Click Save
  4. In the integration editor toolbar, click Test.
  5. Optional: Change the Execution Deadline (in minutes) value.
  6. Enter the entity ID of the entity for which you want to fetch details. For example, 2.
  7. Click Test Integration.
  8. After the integration completes successfully, the Test Integration pane displays the message Integration execution succeeded. To view the logs, click View logs.
  9. Expand the Response Parameters section. In Connector output payload, the following output is displayed: 
    [ {
    "employee_id": 2.0,
    "employee_first_name": "Meaghan",
    "employee_last_name": "Webb",
    "employee_emailID": "test-02@test.com"
  } ]
  10. You can verify that the information displayed here matches the information in the corresponding row in your MySQL table. To view this information in your MySQL table, execute the following command from your MySQL client: 
    SELECT * FROM employee WHERE employee_id=2;
     The following table row is displayed: 
    +-------------+---------------------+--------------------+------------------+
| employee_id | employee_first_name | employee_last_name | employee_emailID |
+-------------+---------------------+--------------------+------------------+
|           2 | Meaghan             | Webb               | test-02@test.com |
+-------------+---------------------+--------------------+------------------+

Add a row to a table

The Create operation allows you to add a row in a table. When you use the Create operation, you must provide all the values for the entity in the connector input payload.

To add a row using the Create operation, perform the following steps to configure the Connectors task that you created earlier:

  1. In integration editor, click the connectors task element to view the Connectors configuration pane.
  2. In the Connectors configuration pane, click Configure Connector. In the Connector Task Editor dialog that appears, follow these steps:
    1. In the Set entities/action section, from the Operations list, select Create.
    2. Click Done.
  3. In the Connectors configuration pane, expand the Task Input section. Then, do the following:
    1. Click the entity ID.
    2. In the Edit variable dialog that appears, select Input to Integration
    3. Click Save.
  4. In the integration editor toolbar, click Test.
  5. Optional: Change the Execution Deadline (in minutes) value.
  6. Enter the details for the entity that you want to create. For example, to add a new employee in the employee table, enter the following JSON: 
    {
  "employee_first_name": "Mary",
  "employee_last_name": "Smith",
  "employee_emailID": "test-03@test.com"
}
  7. Click Test Integration.
  8. After the integration completes successfully, the Test Integration pane displays the message Integration execution succeeded. To view the logs, click View logs.
  9. Expand the Response Parameters section. In Connector output payload, the following output is displayed: 
    {
  "employee_first_name": "Mary",
  "employee_last_name": "Smith",
  "employee_emailID": "test-03@test.com"
}
     Under Connector output payload, the entity ID is displayed as output: 
    {
  "employee_id": 3.0
}
  10. You can verify that the row is added in your MySQL table. To view this information in your MySQL table, execute the following command from your MySQL client: 
    SELECT * FROM employee;
     The following table rows are displayed: 
    +-------------+---------------------+--------------------+------------------+
| employee_id | employee_first_name | employee_last_name | employee_emailID |
+-------------+---------------------+--------------------+------------------+
|           1 | Peter               | Dilliard           | test-01@test.com |
|           2 | Meaghan             | Webb               | test-02@test.com |
|           3 | Mary                | Smith              | test-03@test.com |
+-------------+---------------------+--------------------+------------------+

Update a row in a table

Use the Update operation to make changes to the values in a table row. For example, you can use this operation to update the email ID of an employee in the employee table. To specify the entity that you want to update, you can provide the entity ID as you did for the Get operation. Alternatively, you can use the Filter clause parameter to pass values on which to filter the table rows. This is useful if you want to make the same change in multiple rows based on specific search criteria.

To update a table row, perform the following steps to configure the Connectors task that you created earlier:

  1. In integration editor, click the connectors task element to view the Connectors configuration pane.
  2. In the Connectors configuration pane, click Configure Connector. In the Connector Task Editor dialog that appears, follow these steps:
    1. In the Set entities/action section, from the Operations list, select Update.
    2. Click Done.
  3. In the Connectors configuration pane, expand the Task Input section. Then, do the following:
    1. Click Filter clause.
    2. In the Edit variable dialog that appears, select Input to Integration
    3. Click Save.
  4. In the integration editor toolbar, click Test.
  5. Optional: Change the Execution Deadline (in minutes) value.
  6. Enter the criteria that you want to filter by. For example, to find an employee with the email ID test-03@test.com, enter: 
    employee_emailID="test-03@test.com"
  7. Enter the values that you want to update. For example, to update the email ID of all the employees in the employee table whose current email ID matches the filter clause test-03@test.com, enter the following JSON: 
    {
  "employee_emailID": "msmith@test.com"
}
  8. Click Test Integration.
  9. After the integration completes successfully, the Test Integration pane displays the message Integration execution succeeded.

    To validate that the entity was updated, use the Get operation to get the details of the specified entity.

  10. You can verify that the row is updated in your MySQL table. To view this information in your MySQL table, execute the following command from your MySQL client: 
    SELECT * FROM employee;
     The following table rows are displayed: 
    +-------------+---------------------+--------------------+------------------+
| employee_id | employee_first_name | employee_last_name | employee_emailID |
+-------------+---------------------+--------------------+------------------+
|           1 | Peter               | Dilliard           | test-01@test.com |
|           2 | Meaghan             | Webb               | test-02@test.com |
|           3 | Mary                | Smith              | msmith@test.com  |
+-------------+---------------------+--------------------+------------------+

Delete a row in a table

You can use the Delete operation to delete one or more table rows. Provide the entity ID or use the filter clause to specify the rows that you want to delete. Remember that, if you use the filter clause to specify criteria for rows that you want to delete, it's possible to delete multiple rows that match the given filter. If you want to delete only one specific row, use the entity ID.

To delete a table row using the entity ID, perform the following steps to configure the Connectors task that you created earlier:

  1. In integration editor, click the connectors task element to view the Connectors configuration pane.
  2. In the Connectors configuration pane, click Configure Connector. In the Connector Task Editor dialog that appears, follow these steps:
    1. In the Set entities/action section, from the Operations list, select Get.
    2. Click Done.
  3. In the Connectors configuration pane, expand the Task Input section. Then, do the following:
    1. Click the entity ID.
    2. In the Edit variable dialog that appears, select Input to Integration
    3. Click Save.
  4. In the integration editor toolbar, click Test.
  5. Optional: Change the Execution Deadline (in minutes) value.
  6. Enter the entity ID of the entity for which you want to fetch details. For example, 2.
  7. Click Test Integration.
  8. After the integration completes successfully, the Test Integration pane displays the message Integration execution succeeded.

    To validate that the table row was deleted, use the Get operation to get the details of the row that you deleted. This should return an error for the specified entity ID.

    You can also use the List operation and optionally provide a filter clause for the table row (or rows) that you deleted. This returns the list of rows remaining, which could be an empty list.

    For example, if you deleted the table row with entity ID 3, then if you specify the filter clause employee_emailID="msmith@test.com" or the entity ID 3 for the List operation, the response parameters in the logs display [].

  9. You can verify that the row is deleted in your MySQL table. To verify this in your MySQL table, execute the following command from your MySQL client: 
    SELECT * FROM employee;
     The following table rows are displayed: 
    +-------------+---------------------+--------------------+------------------+
| employee_id | employee_first_name | employee_last_name | employee_emailID |
+-------------+---------------------+--------------------+------------------+
|           1 | Peter               | Dilliard           | test-01@test.com |
|           2 | Meaghan             | Webb               | test-02@test.com |
+-------------+---------------------+--------------------+------------------+

What's next

Try building integrations with other connectors. For the list of all the supported connectors, see All Integration Connectors.