Running, Saving, and Reopening a Parameterized DynamoDB PartiQL SELECT in Tables

In this walkthrough, I demonstrated how to run a parameterized DynamoDB PartiQL SELECT statement using Tables by ServerlessCreed, a DynamoDB GUI with a PartiQL Workbench. The goal was to keep the query structure consistent while allowing the input value to change. I used a table named 'table_bulk' with 120 deterministic items, where 30 items had 'Status = BULK_EDITED'. This allowed me to test a parameterized query that returned more than one record.

The query I used was parameterized with a placeholder: SELECT * FROM table_bulk WHERE Status = {{ statusValue }}. This allowed me to supply the value separately when the statement was run. I entered 'BULK_EDITED' as the value for 'statusValue' and ran the query. Tables resolved the parameterized statement to the actual query: SELECT * FROM table_bulk WHERE Status = BULK_EDITED. I then reviewed the resolved query before execution and confirmed that it returned the expected 30 items, matching my deterministic fixture.

After running the query successfully, I saved the parameterized template rather than only the resolved literal query. I then restarted Tables and returned to the PartiQL Workbench. The saved statement was still available, but the previous parameter value was not retained. I entered 'BULK_EDITED' again as the value for 'statusValue' and reran the query. Tables again returned the expected 30 items, confirming that the reusable query template was preserved across restarts.

I also tested a scenario where a syntax error was introduced in the statement. I deliberately changed the statement to invalid syntax: SELECCC * FROM table_bulk WHERE Status = BULK_EDITED. Tables rejected the statement and displayed an error message: 'Statement wasn't well formed, cannot be processed: Expected data manipulation.' This error recovery check ensured that the malformed statement was not processed, and I could correct it directly without recreating it from scratch.