Query below return all User Defined Routines and information about it in IBM DB2 database.
Query
select routineschema as routine_schema,
       routinename as routine_name,
       case routinetype
            when 'F' then 'Function'
            when 'M' then 'Method'
            when 'P' then 'Procedure'
            end as routine_type,
       case origin
            when 'E' then 'User-defined, external'
            when 'F' then 'Federated procedure'
            when 'U' then 'User-defined, based on a source'
            when 'M' then 'Template function'
            when 'Q' then 'SQL-bodied'
            end as origin,
       parm_count as parameters,
       language,
       case functiontype
            when 'C' then 'COLUMN OR AGGREGATE'
            when 'R' then 'ROW'
            when 'S' then 'SCALAR'
            when 'T' then 'TABLE'
            end as function_type,
       return_typename,
       text
from syscat.routines
where 
    routineschema not like 'SYS%'
order by routine_schema,
         routine_name;
Columns
- routine_schema - name of the routine's schema
- routine_name - name of the routine
- routinetype -
- Function
- Method
- Procedure
 
- origin -
- User-defined, external
- Federated procedure
- User-defined, based on a source
- Template function
- SQL-bodied
 
- parameters - number of function parameters
- language - language in which function is written
- function_type -
- COLUMN OR AGGREGATE
- ROW
- SCALAR
- TABLE
 
- return_typename - routine return type for a scalar function or method.
- text - full text of routine definition if language is SQL, otherwise NULL
Rows
- One row: represents one function
- Scope of rows: all user defined functions in database
- Ordered by: routine schema, routine name
Sample results

 
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                 
                                                             
                                                             
                                                             
                                                             
                                                                 
                                                             
                                                             
                                                                 
                                                             
                                                             
                                                             
                                                             Bart Gawrych
                                                                        Bart Gawrych
                                 IBM Db2
                                                                IBM Db2
                                 SQL Server
                                                                                                SQL Server
                                             Azure SQL Database
                                                                                                Azure SQL Database
                                             Oracle database
                                                                                                Oracle database
                                             Snowflake
                                                                                                Snowflake
                                             Teradata
                                                                                                Teradata
                                             Vertica
                                                                                                Vertica
                                             PostgreSQL
                                                                                                PostgreSQL