What are some best practices for writing and formatting SQL code in SQL assistant vs BTEQ?

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If you work with Teradata, you probably use SQL assistant or BTEQ to write and run SQL queries. Both tools have their own advantages and limitations, but they also share some common best practices for writing and formatting SQL code. In this article, we will discuss some of these best practices and how they can help you write clear, consistent, and efficient SQL code in SQL assistant or BTEQ.

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Kottursamy Shanmugaiah

Director, Data Engineering at Paramount Global | Explorer | Analytical engineering | Cloud Data Engineering | Mentoring…

1 Use consistent naming and casing conventions

One of the first things you should do is to adopt a consistent naming and casing convention for your SQL objects, such as tables, columns, aliases, and variables. This will help you avoid confusion, errors, and conflicts when referencing them in your queries. For example, you can use uppercase for keywords, lowercase for identifiers, and camel case for aliases. You can also use prefixes or suffixes to indicate the type or purpose of your objects, such as dim_ for dimension tables, agg_ for aggregate tables, or v_ for variables.

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Kottursamy Shanmugaiah

Director, Data Engineering at Paramount Global | Explorer | Analytical engineering | Cloud Data Engineering | Mentoring & Coaching | Agile | Data consolidation | Cloud adoption | SAFe 5.1 Product Owner
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Yes, agreed! Naming conventions help in many ways. I prefer lowercase in general for readability and keep the source or origin of the field in it.

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2 Use indentation and alignment to structure your code

Another important best practice is to use indentation and alignment to structure your code and make it more readable and understandable. You can use tabs or spaces to indent your code blocks, such as subqueries, joins, or case statements. You can also align your code elements, such as columns, operators, or conditions, to make them easier to scan and compare. For example, you can align the select, from, where, group by, and order by clauses in your queries, and the columns and expressions within each clause.

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Parijat Malla

Lead Business Solution Architect, Product Owner, ex-IBMer, MSCIS
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Totally agree. Indentation makes your query look clean and easy to read especially with long query formatting comes in handy. There are free tools as well to format your code into easy to read format and you don't have to worry about alignment and indentation.

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3 Use comments and white space to document and separate your code

A third best practice is to use comments and white space to document and explain your code and to separate your code sections. You can use comments to describe the purpose, logic, or assumptions of your code, as well as to mark changes, issues, or questions. You can use white space to create blank lines between your code blocks, clauses, or statements, to improve the visual clarity and readability of your code. For example, you can use comments to explain the business logic behind a complex calculation or join condition, and use white space to separate different parts of your query.

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Dinesh Chowdary Gudavarti

Data Engineer
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In my experience, I suggest users to use inline comments, so that it becomes easy for users to understand the code changes made by others. In short, comments with logic description helps.

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4 Use subqueries and common table expressions to simplify and modularize your code

A fourth best practice is to use subqueries and common table expressions (CTEs) to simplify and modularize your code and to avoid repetition and redundancy. You can use subqueries to encapsulate a query within another query, such as in the select, from, or where clauses. You can use CTEs to define a temporary result set that can be referenced multiple times in the same query or in subsequent queries. For example, you can use subqueries to filter or aggregate data before joining it with other tables, and use CTEs to create intermediate tables or calculations that can be reused in different queries.

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5 Use performance tuning techniques to optimize your code

A fifth best practice is to use performance tuning techniques to optimize your code and to improve the speed and efficiency of your queries. You can use various techniques, such as choosing the right join methods, using indexes and statistics, avoiding unnecessary columns or calculations, limiting the number of rows or columns returned, and using explain plans or spool usage reports to analyze and troubleshoot your queries. For example, you can use hash joins for large tables with equality conditions, use indexes and statistics to help the optimizer choose the best execution plan, avoid using select *, and use top n or qualify clauses to limit the result set.

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6 Use appropriate features and functions for each tool

A sixth and final best practice is to use the appropriate features and functions for each tool, depending on your needs and preferences. SQL assistant and BTEQ have some differences in terms of syntax, functionality, and output. For example, SQL assistant supports multiple statements in a single request, while BTEQ requires a semicolon or a dot to end each statement. SQL assistant has a graphical user interface with various options and features, while BTEQ is a command-line tool with limited formatting and display options. SQL assistant has some built-in functions and commands that are not available in BTEQ, such as export data, import data, or execute file. You should be aware of these differences and choose the tool that suits your requirements and expectations.

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7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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What are some best practices for writing and formatting SQL code in SQL assistant vs BTEQ?

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1 Use consistent naming and casing conventions

2 Use indentation and alignment to structure your code

3 Use comments and white space to document and separate your code

4 Use subqueries and common table expressions to simplify and modularize your code

5 Use performance tuning techniques to optimize your code

6 Use appropriate features and functions for each tool

7 Here’s what else to consider

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