MySQL provides us with the ability to create server-side prepared statements, which are precompiled SQL queries that can be executed multiple times with different arguments.
We can use the performance schema to return a list of all prepared statements in the server, along with useful information about each prepared statement.
If you’re getting an error that reads something like “1052 (23000): Column ‘name’ in field list is ambiguous” in MySQL, it looks like you could be referencing a column name in a query without qualifying it with the table name.
This can happen when you perform a join between tables that use the same name for one or more columns.
To fix this issue, be sure to qualify column names with the table names when performing joins across tables.
Any time you prepare to delete data from a database, you will probably wonder whether or not to log the deleted data somewhere… just in case.
One way to do this is to construct a SELECT statement to identify the rows you want to delete, and then use it to copy those rows into a separate log table, before doing the actual delete. If you’re using SQL Server, another option is to use the OUTPUT clause. This article discusses the later.
When a foreign key is defined in a table, it ensures that the values in the column(s) correspond to values in a primary key or unique key in another table. While PostgreSQL automatically creates an index for primary keys (because these need to be fast for lookups and enforcing uniqueness), it does not automatically create an index for foreign keys.
MySQL provides us with the ability to create multiple prepared statements and run them as many times as we like, while changing the parameter values with each run.
While prepared statements are only available to the session that created them, they are stored in the server. So it’s quite possible that a server could have a build up of lots of prepared statements hanging around once different users have created them.
There are many ways to find the primary key column in SQL Server, but sometimes we might need to identify the name of the primary key’s index.
For example, we may want to identify the index’s name if we need to disable the primary key for some reason (we disable primary keys by disabling their index).
The query below can help if you need to find the name of a primary key’s index for a given table.
If you’re getting an error that reads “Syntax ‘*’ is not allowed in schema-bound objects” in SQL Server, it appears that you’re using the asterisk wildcard (*) to select all columns when trying to define a schema-bound object (like a schema-bound view).
As the error message states, this is not allowed.
To fix this issue, explicitly name each column.
If you’re getting an error that reads something like “ERROR 1066 (42000): Not unique table/alias: ‘d’” in MySQL, it could be that you’re trying to assign a duplicate alias to a table. Or it could be that you’re doing a self-join without assigning table aliases.
Table names and aliases must be unique when doing queries in MySQL.
The error can also happen if you use HANDLER to open a table, but then try to open it again before closing it.
To fix this issue, be sure to use unique table aliases in your query. And if you’re using HANDLER, either close the table or continue working with it (without trying to open it again).
In relational database management systems (RDBMSs), constraints are nifty tools that we can use to ensure the integrity, accuracy, and reliability of the data stored in our database.
Constraints can enforce rules at the column and table levels, guiding how data can be inserted, updated, or deleted. Whether you’re defining the uniqueness of a value, establishing relationships between tables, or ensuring that critical fields are never left blank, constraints play an important role in the design of relational databases.
If you work with MySQL databases, you may have encountered the SERIAL type in a table’s definition. And if you’ve come over from PostgreSQL, you might have a false expectation about how MySQL’s SERIAL works – unless you already know 😉
Below is a quick overview of MySQL’s SERIAL type, including an explanation of how it differs from PostgreSQL’s SERIAL type and similar functionality from other DBMSs.