In SQL Server, “schema-bound” refers to a specific feature that ensures a SQL object, such as a view or function, is tightly linked to the schema of the underlying tables or other database objects it references. When a view or function is schema-bound, the underlying tables or objects cannot be altered in a way that would break the view or function’s dependencies.
Continue reading3 Ways to Concatenate Strings in PostgreSQL
When working with databases (and software in general), string concatenation is the operation of joining character strings end-to-end. For example if we have two words, we can combine them into one.
PostgreSQL provides us with multiple ways to concatenate strings. Below are two functions and one operator that we can use to concatenate strings in PostgreSQL.
Continue readingFix “The objects … in the FROM clause have the same exposed names” in SQL Server (Error 1013)
If you’re getting an error that reads something like “The objects “employees” and “employees” in the FROM clause have the same exposed names. Use correlation names to distinguish them’” in SQL Server, it could be that you’re trying to do a self-join without assigning table aliases.
When doing self-joins, we need to provide aliases for the tables so that SQL Server can distinguish between each instance.
To fix this issue, be sure to use unique table aliases in your query.
Continue readingHow to Log Data Changes with the SQL Server OUTPUT Clause
SQL Server has an OUTPUT clause that we can use any time we do an INSERT, UPDATE, DELETE, or MERGE operation. It allows us to retrieve information from modified rows during such operations. This can be especially useful for auditing, logging, or understanding the impact of database changes without needing an additional query.
Let’s look at how the OUTPUT clause can help us log the data changes in our database.
Using a CTE with a DELETE Statement in SQL Server to Remove Duplicates
Common Table Expressions (CTEs) are a nifty SQL feature that allow us to define a temporary result set, which can then be used in subsequent queries, including DELETE statements. In the context of removing duplicate data, a CTE can be helpful when we want to identify and remove only the duplicated rows, keeping one version of each unique record.
Let’s go through a step-by-step example of using a CTE with a DELETE statement to remove duplicate data.
Fix “Create View or Function failed because no column name was specified for column” in SQL Server (Error 4511)
If you’re getting an error that reads “Create View or Function failed because no column name was specified…” in SQL Server, perhaps you’re using a function or an arithmetic expression in the SELECT list, but you haven’t provided a name for the column.
As the error message alludes to, you need to provide a column name when doing stuff like that.
Continue readingUnderstanding Common Table Expressions (CTEs): A Beginner’s Guide
Common table expressions (CTEs) are a feature that we can use in SQL to help simplify complex queries and enhance readability. They can help with things like code readability, performance, recursive queries, and more.
This article explores what CTEs are, their syntax, types, use cases, and best practices, along with examples to help illustrate their usage.
Continue readingUNIQUE Index vs UNIQUE Constraint in PostgreSQL: Which to Use?
In PostgreSQL, both UNIQUE indexes and UNIQUE constraints can be used to enforce uniqueness on columns.
So you may be wondering; if that’s true, why have both? And are there any circumstances that we should choose one over the other?
Let’s find out.
Continue readingFix “Cannot create index on view because it contains the DISTINCT keyword” in SQL Server (Error 10100)
If you’re getting an error that reads “Cannot create index on view “demo.dbo.vDistinctPrice” because it contains the DISTINCT keyword…” etc etc in SQL Server, it appears that you’re trying to create an index on a view that contains the DISTINCT keyword.
As the error message alludes to, this is not allowed.
Continue readingUnderstanding SQL Data Types: A Comprehensive Guide
Structured Query Language (SQL) is the backbone of relational database management systems (RDBMSs), enabling users to query, manipulate, and define data. One of the most fundamental concepts in SQL, and one that all SQL developers should understand, is the data type.
Whenever we create a column in SQL, we must define its data type. Similarly, when we create a variable, we define its data type.
So, why is the data type so important? Let’s find out.
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