Analytics in AWS Athena

Note

Note: 1Password SaaS Manager was previously named Trelica. Some commands and integrations still use or refer to Trelica. Follow directions as written to avoid errors.

Note

Feature currently in closed beta.

Pre-requisites

A pre-requisite for running Athena analytics is configuring an S3 bucket for your Athena data. In this example we’ll use a bucket called trelica-athena-results.

Important

When using Athena, you should publish your 1Password SaaS Manager data ensuring it is published with a folder per Parquet file.

Initializing Athena tables

Log in to your AWS account with the appropriate role using the aws sso login command.

Download run_athena_init.sh and init_athena_s3.sql:

aws s3 cp s3://<YOUR-BUCKET>/trelica/2025-10-22/run_athena_init.sh .
aws s3 cp s3://<YOUR-BUCKET>/trelica/2025-10-22/init_athena_s3.sql .

Athena only lets you run a single SQL statement at a time, so the run_athena_init.sh script will automate running the SQL file for you.

The parameters for run_athena_init.sh are:

  • the Athena database name you want to create,
  • the S3 bucket for storing Athena results
./run_athena_init.sh trelica_snapshot s3://trelica-athena-results
============================================
Athena Initialization
============================================
Database: trelica_snapshot
Results: s3://trelica-athena-results

Parsing SQL file and executing statements...

Executing: Create database
✓ Completed

Executing: Drop table: app_account
✓ Completed

Executing: Create table: app_account
✓ Completed

Querying from AWS

Once this has completed, log in to Athena in the AWS Management Console.

Before running a query you will be prompted to specify the location for your query results (if you haven’t already done so):

Click Browse S3 to pick a folder in one of your S3 buckets.

Now return to the query editor. Select the Database you created (in this case trelica_snapshot). You should see the Tables list populate and you can then run queries against those tables.

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