How to get the max value in PostgreSQL?

How to get the max value in PostgreSQL?

SELECT customer_id, MAX (amount) FROM payment GROUP BY customer_id HAVING MAX (amount) > 8.99 First, create a new table named ranks that consists of four columns: the first column stores user id and the other three columns to store ranks from 1 to 3.

When is is not null true in PostgreSQL?

If the expression is row-valued, then IS NULL is true when the row expression itself is null or when all the row’s fields are null, while IS NOT NULL is true when the row expression itself is non-null and all the row’s fields are non-null.

How to find all rows with a null value in any column?

” Find All Rows With Null Value (s) in Any Column ” is the closest one I could find and offers an answer for SQL Server, but I’m looking for a way to do this in PostgreSQL. How can I select only the rows that have NULL values in any column? but it’s unclear how to check multiple column names for NULL values. Obviously this won’t work:

When to use order by DESC in PostgreSQL?

ORDER BY DESC puts rows with null values at the top. To avoid returning results corresponding to null values: Note: This query will return multiple results if multiple people have a weight equal to the maximum weight. To grab just one, add LIMIT 1 to the end of the query. Why do NULL values come first when ordering DESC in a PostgreSQL query?

How are Nan and decimal values treated in PostgreSQL?

In order to allow numeric values to be sorted and used in tree-based indexes, PostgreSQL treats NaN values as equal, and greater than all non- NaN values. The types decimal and numeric are equivalent. Both types are part of the SQL standard.

How are floating point values handled in PostgreSQL?

In order to allow floating-point values to be sorted and used in tree-based indexes, PostgreSQL treats NaN values as equal, and greater than all non- NaN values. PostgreSQL also supports the SQL-standard notations float and float (p) for specifying inexact numeric types. Here, p specifies the minimum acceptable precision in binary digits.