Master Oracle BI SQL: 5 Tips to Write Faster, Smarter Queries

Oracle BI SQL development plays a crucial role in generating reports and insights from Oracle ERP databases. As an Oracle BI developer, improving efficiency can save valuable time and optimize query performance. Here are five essential tips to boost your productivity and enhance your SQL development process.

Tip 1: SQL Recycling: Writing Queries From Scratch is So 2010 !

“Why write new code when you can recycle? It’s the greenest thing you can do in tech!”

Rather than writing queries from scratch each time, save and reuse SQL statements whenever possible. The advantage of working as a report developer in Oracle BI is that you and thousands of other developers are working on the same database structure. So, all SQLs that are to be written are already written. Most BI reporting requirements are variations of existing queries, so recycling code reduces development time and ensures consistency.

Where do I find the SQLs:

• Search for SQLs from the web: Many developers have published SQLs in blogs and forums. Many of these will be suitable to your requirements. Search Oracle Forums and blogs for the skeleton SQLs. Pro Tip: Oracle ERP table structure is like Oracle eBusiness Suite for many modules and has been around for a few decades. Even SQLs posted 15 years ago for a Purchase Order extract are still valid.

• Check SQLs in existing BI data models and reports: These could be either Oracle-provided or custom-developed by another member of your team.
• Check SQLs behind the user screen in Oracle Cloud with view objects: Your reporting requirement can often be expressed as a field in a screen. Find the View Object behind the screen and get the SQL from there.
• Maintain a repository of commonly used queries: Store queries that you and your team have developed in a searchable, version-controlled database. Pro Tip: SQL Editors, including DataFusing CloudSQL provides a powerful SQL library, that automatically saving your SQLs when you run them.

Tip 2:  Turn Yourself into an SQL Superhero with ChatGPT and Friends!

AI won’t replace humans, but humans using AI will replace humans who don’t !

You are in the minority if you haven’t yet integrated LLM tools to generate SQLs. AI-powered tools like ChatGPT or Gemini or Deepseek can speed up SQL development by helping with:

• Generate SQL queries from English descriptions. You can upload part of your functional specifications and ask ChatGPT or Gemini to write the SQL, ensuring you specify that it’s for Oracle ERP.
• Ask ChatGPT to identify syntax errors. Provide the SQL and error message, and let it pinpoint the root cause. ChatGPT can often resolve issues, like ORA-00094: Invalid Identifier, faster than a developer—especially with large SQL queries.
• Provide a complex query and ask ChatGPT to explain the logic behind it.
• ChatGPT can refactor SQL by utilizing the WITH clause and applying proper aliases for better readability and optimization.

Example Use Case:

ChatGPT Prompt: Write an SQL query in Oracle ERP Cloud to retrieve the top 5 AP invoices with the highest amounts, where the invoice date falls in 2025.

Generated Query:

SELECT INVOICE_ID,
       INVOICE_NUM,
             INVOICE_DATE,
       INVOICE_AMOUNT
FROM AP_INVOICES_ALL AIA
WHERE EXTRACT(YEAR FROM INVOICE_DATE) = 2025
ORDER BY INVOICE_AMOUNT DESC
FETCH FIRST 5 ROWS ONLY;
        

The problem with AI models is that it wont give all correct answers, at least not the first time. But repeated prompts and refining SQLs will help.

Tip 3:  Improve Your Knowledge of Oracle ERP Database

“Bad programmers worry about the code. Good programmers worry about data structures and their relationships.” – Linus Torvalds

So, we have already stated that you can find skeleton code online and refine it using AI tools. So, where does a developer’s true value lie? It’s in their deep understanding of Oracle ERP’s underlying data model. With its complex schema consisting of thousands of tables, views, and relationships, Oracle ERP requires more than just writing SQL—it demands expertise in data structure. Without this knowledge, SQL development becomes inefficient and time-consuming.

How to Improve your knowledge:

• Use Oracle’s  online documentation to understand table and view structure. This link should be in your favourite bookmarks.
• Understand the unique characteristics of the table structures in the modules you’re working with. For example, in the HCM module, it’s essential to know the purpose of columns like EFFECTIVE_START_DATE and EFFECTIVE_END_DATE to interpret data accurately.
• Learn how key tables relate to each other—this can be challenging, so use online resources and existing SQL queries to master table joins.
• Utilize SQL editor tools like DataFusing CloudSQL for easier browsing of the Oracle ERP database structure.

Tip 4: Don’t Let SQL Turn into Spaghetti – Use WITH Clause

When debugging, if you can’t understand a function in under 30 seconds, you need to refactor it.

SQL queries often become complex and difficult to read when dealing with multiple joins, aggregations, and filtering conditions. Most of the time will be spent in debugging a complex SQL rather than developing new SQLs. The WITH clause helps break down queries into modular and reusable components, making SQL more readable and manageable.

Example:

WITH
     inline_all_employees AS (
          SELECT
               ppf.person_number,
               nam.full_name
          FROM
               per_all_people_f ppf,
               per_person_names_f nam
          WHERE
               ppf.person_id = nam.person_id
               AND sysdate BETWEEN ppf.effective_start_date AND ppf.effective_end_date
               AND sysdate BETWEEN nam.effective_start_date AND nam.effective_end_date
     )
SELECT
     *
FROM
     inline_all_employees
     where full_name like '%David%'
        

Tip 5: Use a Reliable SQL Editor

A craftsman is only as good as his tools

Oracle BI offers limited options for entering SQL queries, and popular tools like SQL Developer do not connect to Oracle’s BI layer. Using a feature-rich SQL editor like DataFusing CloudSQL can greatly enhance efficiency. A robust SQL development tool should include syntax highlighting, query formatting, and auto-complete suggestions to improve performance and streamline development

Conclusion

Improving Oracle BI SQL development efficiency requires a combination of database knowledge, modular query writing, code reusability, the right tools, and AI assistance. By following these five tips, you can speed up development, improve query performance, and reduce errors in Oracle BI reporting.

Would you like to explore DataFusing CloudSQL SQL Editor today and take expand your SQL? Its Free to start with.