The screen flickers. A single command waits to be entered. You type sqlplus and the pipeline comes alive.
Pipelines in SQL*Plus give you a way to push data through stages without wasting time or resources. They let queries stream results directly, so you don’t have to store huge intermediate sets or run unnecessary loops. In Oracle PL/SQL, pipeline functions return rows as they’re computed. This means your downstream process begins before upstream work is finished.
Using pipelines in SQL*Plus is about precision. You define a pipelined table function with PIPE ROW, compile it, and call it like any other table. Instead of building temp tables, you stream rows to SQL*Plus. This helps with ETL between schemas, reporting against live feeds, and integrating scripts without slow exports.
Here is the basic process for a pipelined table function:
- Create an object type that matches the row structure.
- Create a table type built on that object.
- Write a function with
PIPE ROW(<object_instance>) inside a loop or cursor. - Mark the function as
PIPELINED in its declaration. - Query it directly:
SELECT * FROM TABLE(your_pipelined_function);
With pipelines, SQL*Plus runs the query, receives the first rows almost instantly, and can pass them into another script or pipe them out to a file for processing. You control concurrency, limit memory usage, and keep latency low.
In production, pipelines in SQL*Plus fit perfectly with data-driven automation. They keep processes running continuously without heavy batch jobs. Pair them with shell scripts, CI/CD tasks, or API calls, and they integrate cleanly into complex workflows.
There’s no mystery here. Pipelines in SQL*Plus are a direct, powerful tool for real-time data handling. Write the function, pipe the rows, link it to your process.
Try it today. Build a pipeline, connect it to hoop.dev, and see it live in minutes.