The procedures that are required to connect Looker to a Teradata database depend on your Looker deployment:
For Looker (original) instances, perform the following procedures:
For Looker (Google Cloud core) instances, perform the following procedures:
Encrypting network traffic
It is a best practice to encrypt network traffic between the Looker application and your database. Consider one of the options described on the Enabling secure database access documentation page.
Installing the hash_md5
user-defined function (UDF)
Before configuring Looker to work with Teradata, you must install the hash_md5
user-defined function (UDF) on your Teradata server. You can find instructions for installing the UDF on this Teradata downloads page.
Installing the Teradata JDBC driver
If you have a Looker (original) instance, you will need to configure a Teradata driver before creating the Looker connection. These instructions describe that process, assuming use of a startup script that is similar to the examples that are provided on the looker-open-source GitHub page.
To install the driver, you will need to acquire two Teradata files, include them as part of the startup process, and add an option to tell Looker to access the driver.
Follow the steps on the Unpackaged JDBC drivers documentation page using the following values:
driver symbol: teradata
driver entry:
- name: teradata
dir_name: teradata
module_path: com.teradata.jdbc.TeraDriver
For the step to put the driver in your dialect's directory, the paths to these files will look like this:
looker/custom_jdbc_drivers/teradata/tdgssconfig.jar
looker/custom_jdbc_drivers/teradata/terajdbc4.jar
Creating the Looker connection to your database
To create the connection from Looker to your database, follow these steps:
- In the Admin section of Looker, select Connections, and then click Add Connection.
- Select Teradata from the Dialect drop-down menu.
- Fill out the connection details. The majority of the settings are common to most database dialects. See the Connecting Looker to your database documentation page for information.
- To verify that the connection is successful, click Test. See the Testing database connectivity documentation page for troubleshooting information.
- To save these settings, click Connect.
Feature support
For Looker to support some features, your database dialect must also support them.
Teradata supports the following features as of Looker 24.16:
Feature | Supported? |
---|---|
Support Level | Supported |
Looker (Google Cloud core) | Yes |
Symmetric Aggregates | Yes |
Derived Tables | Yes |
Persistent SQL Derived Tables | Yes |
Persistent Native Derived Tables | Yes |
Stable Views | Yes |
Query Killing | Yes |
SQL-based Pivots | Yes |
Timezones | No |
SSL | No |
Subtotals | No |
JDBC Additional Params | Yes |
Case Sensitive | Yes |
Location Type | Yes |
List Type | No |
Percentile | No |
Distinct Percentile | No |
SQL Runner Show Processes | No |
SQL Runner Describe Table | Yes |
SQL Runner Show Indexes | Yes |
SQL Runner Select 10 | Yes |
SQL Runner Count | Yes |
SQL Explain | Yes |
Oauth Credentials | No |
Context Comments | Yes |
Connection Pooling | No |
HLL Sketches | No |
Aggregate Awareness | Yes |
Incremental PDTs | No |
Milliseconds | Yes |
Microseconds | Yes |
Materialized Views | No |
Approximate Count Distinct | No |