This integration is powered by Singer's Postgres tap and certified by Stitch. Check out and contribute to the repo on GitHub.
For support, contact Stitch support.
Important: Google CloudSQL PostgreSQL as an input data source
This article describes how to connect Google CloudSQL PostgreSQL as an input data source.
If you want to connect a Google CloudSQL PostgreSQL instance as a destination, refer to the Connecting a Self-Hosted Google CloudSQL PostgreSQL Destination guide.
Google CloudSQL PostgreSQL feature snapshot
A high-level look at Stitch's Google CloudSQL PostgreSQL (v1) integration, including release status, useful links, and the features supported in Stitch.
Deprecated on June 2, 2021
|Singer GitHub repository|
|Configurable Replication Methods||
|Full Table Replication||
Connecting Google CloudSQL PostgreSQL
Google CloudSQL PostgreSQL setup requirements
To set up Google CloudSQL PostgreSQL in Stitch, you need:
A database running PostgreSQL 9.3.x or greater. PostgreSQL 9.3.x is the minimum version Stitch supports for PostgreSQL integrations.
Permissions in Google Cloud that allow you to modify the database’s connection settings. This is required to whitelist Stitch’s IP addresses.
Permissions in PostgreSQL that allow you to create users. This is required to create a database user for Stitch.
Step 1: Verify your Stitch account's data pipeline region
First, you’ll log into Stitch and verify the data pipeline region your account is using. Later in this guide, you’ll need to grant Stitch access by whitelisting our IP addresses.
The IP addresses you’ll whitelist depend on the Data pipeline region your account is in.
- Sign into your Stitch account, if you haven’t already.
- Click User menu (your icon) > Manage Account Settings and locate the Data pipeline region section to verify your account’s region.
Locate the list of IP addresses for your region:
Keep this list handy - you’ll need it later.
Step 2: Configure database connection settings
For Stitch to successfully connect with your CloudSQL instance, you’ll need to add our IP addresses to the database’s authorized networks list.
- Sign into your Google Cloud Platform account.
- Navigate to the Cloud SQL Instances page.
- Click the instance name to open its details page.
- Click the Connections tab.
- Locate the Public IP section.
For each of the Stitch data pipeline region IP addresses you retrieved in Step 1, complete the following:
- Click + Add network.
- In the Name field, enter a name for the IP address. For example:
Stitch 1for the first IP address,
Stitch 2for the second, and so on.
- In the Network field, paste one of the IP addresses for your Stitch data pipeline region that you retrieved in Step 1.
- Click Done.
- Repeat these steps until all of Stitch’s IP addresses for your data pipeline region have been added.
- When finished, click Save to update the instance.
Step 3: Create a Stitch database user
In this step, you’ll create a dedicated database user for Stitch. This will ensure Stitch is visible in any logs or audits, and allow you to maintain your privilege hierarchy.
Your organization may require a different process, but the simplest way to create this user is to execute the following query when logged into the Google CloudSQL PostgreSQL database as a user with the right to grant privileges.
Note: The user performing this step should also own the schema(s) that Stitch is being granted access to.
- Log into your database.
Create the database user, replacing
<stitch_username>with the name of the database user and
<password>with a password:
CREATE USER <stitch_username> WITH ENCRYPTED PASSWORD '<password>';
Grant the database user
CONNECTprivileges to the database, replacing
<database_name>with the name of a database you want to connect Stitch to:
GRANT CONNECT ON DATABASE <database_name> TO <stitch_username>;
Grant the database user schema usage privileges, replacing
<schema_name>with the name of a schema you want to replicate data from:
GRANT USAGE ON SCHEMA <schema_name> TO <stitch_username>;
Grant the database user
SELECTprivileges by running this command for every table you want to replicate:
GRANT SELECT ON <schema_name>.<table_name> TO <stitch_username>;
Limiting access to only the tables you want to replicate ensures that the integration can complete discovery (a structure sync) in a timely manner. If you encounter issues in Stitch where tables aren’t displaying, try limiting the Stitch database user’s table access.
Alter the schema’s default privileges to grant
SELECTprivileges on tables to the database user. This is required to ensure that objects created in the schema after connecting to Stitch will remain accessible to the
ALTER DEFAULT PRIVILEGES IN SCHEMA <schema_name> GRANT SELECT ON TABLES TO <stitch_username>;
- If you want to replicate data from multiple databases or schemas, repeat steps 3 - 6 as needed.
See the Privileges list tab for an explanation of why these permissions are required by Stitch.
In the table below are the database user privileges Stitch requires to connect to and replicate data from a Google CloudSQL PostgreSQL database.
|Privilege name||Reason for requirement|
Required to connect successfully to the specified database.
Required to access the objects contained in the specified schema.
Required to select rows from tables in the specified schema.
|ALTER DEFAULT PRIVILEGES||
Required to ensure that objects created in the schema after connecting to Stitch will be accessible by the Stitch database user.
Required to allow the Stitch database user to use logical (Log-based) replication.
Step 4: Connect Stitch
In this step, you’ll complete the setup by entering the database’s connection details and defining replication settings in Stitch.
Step 4.1: Locate the database connection details in Google
In this step, you’ll locate the Google CloudSQL PostgreSQL database’s public IP address in the Google Cloud Platform console. This will be used to complete the setup in Stitch.
- In the CloudSQL Instances page, locate the instance you want to connect to Stitch.
- When the instance’s Overview page displays, scroll down to the Connect to this instance section.
- Locate the Public IP address field.
- Copy and paste the public IP address into a text file or leave this page open and open your Stitch account in another tab.
Step 4.2: Define the database connection details in Stitch
- If you aren’t signed into your Stitch account, sign in now.
On the Stitch Dashboard page, click the Add Integration button.
- Locate and click the Google CloudSQL PostgreSQL icon.
Fill in the fields as follows:
Integration Name: Enter a name for the integration. This is the name that will display on the Stitch Dashboard for the integration; it’ll also be used to create the schema in your destination.
For example, the name “Stitch Google CloudSQL PostgreSQL” would create a schema called
stitch_google_cloudsql_postgresqlin the destination. Note: The schema name cannot be changed after the integration is saved.
Host (Endpoint): Enter the host address (endpoint) of your Google CloudSQL PostgreSQL instance. This will be the value of the Public IP address that you retrieved in the previous step.
Port: Enter the port used by the Google CloudSQL PostgreSQL instance. The default is
Username: Enter the Stitch Google CloudSQL PostgreSQL database user’s username.
Password: Enter the password for the Stitch Google CloudSQL PostgreSQL database user.
Database: Enter the name of the Google CloudSQL PostgreSQL database you want to connect to Stitch. Stitch will ‘find’ all databases you give the Stitch user access to - a default database is only used to complete the connection. This is required for Google CloudSQL PostgreSQL integrations.
Include PostgreSQL schema names in destination tables: Checking this setting will include schema names from the source database in the destination table name - for example:
Stitch loads all selected replicated tables to a single schema, preserving only the table name. If two tables canonicalize to the same name - even if they’re in different source databases or schemas - name collision errors can arise. Checking this setting can prevent these issues.
Note: This setting can not be changed after the integration is saved. Additionally, this setting may create table names that exceed your destination’s limits. For more info, refer to the Database Integration Table Name Collisions guide.
Step 4.3: Create a replication schedule
In the Replication Frequency section, you’ll create the integration’s replication schedule. An integration’s replication schedule determines how often Stitch runs a replication job, and the time that job begins.
Google CloudSQL PostgreSQL integrations support the following replication scheduling methods:
Advanced Scheduling using Cron (Advanced or Premium plans only)
To keep your row usage low, consider setting the integration to replicate less frequently. See the Understanding and Reducing Your Row Usage guide for tips on reducing your usage.
Step 4.4: Save the integration
When finished, click Check and Save.
Stitch will perform a connection test to the Google CloudSQL PostgreSQL database; if successful, a Success! message will display at the top of the screen. Note: This test may take a few minutes to complete.
Step 5: Select data to replicate
Note: If a replication job is currently in progress, new selections won’t be used until the next job starts.
For Google CloudSQL PostgreSQL integrations, you can select:
Individual tables and columns
Click the tabs to view instructions for each selection method.
- In the Integration Details page, click the Tables to Replicate tab.
- Locate a table you want to replicate.
Click the checkbox next to the table’s name. A blue checkmark means the table is set to replicate.
After you set a table to replicate, a page with the table’s columns will display. De-select columns if needed.
- Next, you’ll define the table’s Replication Method. Click the Table Settings button.
- In the Table Settings page:
Repeat this process for every table you want to replicate.
- Click the Finalize Your Selections button at the bottom of the page to save your data selections.
Setting a database view to replicate is similar to selecting a table, with a few differences. Refer to the Replicating Database Views guide for detailed instructions.
At a high level, you’ll need to complete the following to select a database view:
Initial and historical replication jobs
After you finish setting up Google CloudSQL PostgreSQL, its Sync Status may show as Pending on either the Stitch Dashboard or in the Integration Details page.
For a new integration, a Pending status indicates that Stitch is in the process of scheduling the initial replication job for the integration. This may take some time to complete.
Initial replication jobs with Anchor Scheduling
If using Anchor Scheduling, an initial replication job may not kick off immediately. This depends on the selected Replication Frequency and Anchor Time. Refer to the Anchor Scheduling documentation for more information.
Free historical data loads
The first seven days of replication, beginning when data is first replicated, are free. Rows replicated from the new integration during this time won’t count towards your quota. Stitch offers this as a way of testing new integrations, measuring usage, and ensuring historical data volumes don’t quickly consume your quota.