The LOG() function in SQLite calculates the logarithm of a given number to a specified base, with 10 being the default base.
This is helpful for logarithmic transformations or calculations requiring a specific base (e.g., base 10 for common logarithms or base 2 for binary logarithms).
In SQLite, the ceil() and ceiling() functions are used to return the smallest integer that is greater than or equal to a given number. They both serve the same purpose, and either function can be used interchangeably.
If you’re getting MySQL error 1066 which reads something like “1066 (42000): Not unique table/alias: ‘products’” when using the HANDLER statement in MySQL, it could be that you’re trying to open a table that’s already open.
If this is the case, be sure to close the table before trying to open it again. Or simply continue working without opening the table again.
The RADIANS() function in SQLite is a mathematical function that converts an angle from degrees to radians. This can be handy when working with trigonometric calculations in your database queries, as some mathematical functions (such as SIN(), TAN()) expect angles in radians rather than degrees.
The ASIN() function in SQLite calculates the arc sine (inverse sine) of a given numeric value. The result is the angle in radians whose sine is the specified number.
The ACOS() function in SQLite is used to calculate the arc cosine (inverse cosine) of a given numeric value. The result is the angle in radians whose cosine is the specified number.
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.
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.