PostgreSQL is an open source relational database management system developed by a worldwide team of volunteers.
The PostgreSQL connector allows you to access data from PostgreSQL based databases within Looker Studio.In this article:
How to connect to PostgreSQL
This connector uses the PostgreSQL JDBC driver to connect a Looker Studio data source to a single PostgreSQL database table.
We've tested Looker Studio on the following PostgreSQL versions:
If you experience issues using a supported version, please let us know in the Looker Studio Help Community. You can add and vote on feature requests here.
- Sign in to Looker Studio.
- In the top left, click then select Data Source.
- Select the PostgreSQL connector
- Configure access to your database using one of the connection options (see below)
- Click AUTHENTICATE
- You will see a list of tables in that database
- Select a table
- Click CONNECT.
You can now access all of the columns in the table as fields in your reports.
To connect with a hostname or IP address, you'll need to provide the following information:
- Hostname or IP address
- Port (Optional)
To connect via a JDBC URL, provide the following connection information:
- JDBC URL
jdbc:postgresql://<hostname or IP address>[:<port>]/<database>
Enable SSL (optional)
Looker Studio supports secure (encrypted) connections to the server using the TLS (Transport Layer Security) protocol. TLS is also referred to as SSL (Secure Sockets Layer). To enable a secure connection, check Enable SSL, then provide your SSL configuration files.
Enable client authentication (optional)
When this box is checked, you can upload a client private key and a client certificate if required to access your database.
Learn more about PostgreSQL secure connections.
Select the CUSTOM QUERY option to provide a SQL query instead of connecting to a single table. Looker Studio uses this custom SQL as an inner select statement for each generated query to the database.
Custom SQL queries may only have a single statement.
For example, the following will not work because it has multiple SQL statements:
DECLARE cost_per_tb_in_dollar FLOAT64 DEFAULT 4.2;
SELECT total_bytes_billed / (1024 * 1024))* cost_per_tb_in_dollar)/(1024*1024))) FROM billing-table;
This is also true when exploring from BigQuery: your query result set may only be based on a single statement.
- Simplify the query so that it runs faster.
- Run the query in your database and store the results in a separate table. Then connect to that table in your data source.
Supported data types
The PostgreSQL connector currently supports the following data types:
- Date/Time (except Intervals)
When Looker Studio encounters a column of a non-supported type, it will not create a field for that column.
Learn more about PostgreSQL data types.
Firewall and database access
To allow Looker Studio to connect to and query databases that are behind a firewall, you will need to open access to specific IP addresses. You may also need to configure your database to accept traffic from these addresses. Consult the documentation for your specific database for instructions on how to do this.
Show the list of IP addresses
184.108.40.206/23 2001:4860:4807::/48 (Optional, for platforms that support IPv6) 220.127.116.11/16
Limits of the PostgreSQL connector
- You can query a maximum of 150K rows per query using this connector.
- Column headers (field names) must use ASCII characters only. Non-ASCII characters aren't supported.