How to pass multiple rows to PostgreSQL function?

How to pass multiple rows to PostgreSQL function?

PostgreSQL doesn’t have table-valued variables (yet), so nothing’s going to be pretty. Passing arrays is inefficient but will work for reasonable-sized inputs. For bigger inputs, what often works is to pass a refcursor. It’s clumsy, but can be practical for larger data sets, sometimes combined with temp tables.

Is it possible to pass multiple arguments to a function?

Some functions are designed to return values, while others are designed for other purposes. We pass arguments in a function, we can pass no arguments at all, single arguments or multiple arguments to a function and can call the function multiple times.

How to pass multiple values to a function?

(actually using split function splitting the values from being 1,2,3,4,5 ) One way of doing that which I prefer is to make a new user-defined table data type. CREATE TYPE [dbo]. [IdList] AS TABLE ( [Id] [int] NULL )

How to pass multiple arguments to df.apply?

You should use vectorized logic: df [‘C’] = df [‘A’] + ‘-‘ + df [‘B’] + ‘-DOG’ If you really want to use df.apply, which is just a thinly veiled loop, you can simply feed your arguments as additional parameters:

Where are extra columns copied in PostgreSQL tablefunc?

The output row_name column, plus any “extra” columns, are copied from the first row of the group. The output value columns are filled with the value fields from rows having matching category values. If a row’s category does not match any output of the category_sql query, its value is ignored.

Which is an example of a tablefunc in PostgreSQL?

For example, the provided query might produce a set something like: The crosstab function is declared to return setof record, so the actual names and types of the output columns must be defined in the FROM clause of the calling SELECT statement, for example: SELECT * FROM crosstab (‘…’)

When to use order by 1 in PostgreSQL?

Output columns whose matching category is not present in any input row of the group are filled with nulls. In practice the source_sql query should always specify ORDER BY 1 to ensure that values with the same row_name are brought together.