Teradata Package for R Function Reference | 17.20 - RoundColumns - Teradata Package for R - Look here for syntax, methods and examples for the functions included in the Teradata Package for R.

Teradata® Package for R Function Reference

Deployment
VantageCloud
VantageCore
Edition
Enterprise
IntelliFlex
VMware
Product
Teradata Package for R
Release Number
17.20
Published
March 2024
Language
English (United States)
Last Update
2024-05-03
dita:id
TeradataR_FxRef_Enterprise_1720
Product Category
Teradata Vantage

RoundColumns

Description

Function to round the values of each specified input tbl_teradata column to a specified number of decimal places.

Usage

  td_round_columns_sqle (
      data = NULL,
      target.columns = NULL,
      precision.digit = 0,
      accumulate = NULL,
      ...
  )

Arguments

data

Required Argument.
Specifies the input tbl_teradata.
Types: tbl_teradata

target.columns

Required Argument.
Specifies the name(s) of the column(s) in "data" to round every value to precision digits.
Types: character OR vector of Strings (character)

precision.digit

Optional Argument.
Specifies the number of decimal places to which to round values for
the "target.columns".
If positive, the function rounds values to the right of the decimal point.
If negative, the function rounds values to the left of the decimal point.
If not provided, the function rounds the column values to 0 places.
Note:
If the column values have the DECIMAL/NUMERIC data type with a precision less than 38, then the function increases the precision by 1. For example, when a DECIMAL (4,2) value of 99.99 is rounded to 0 places, the function returns a DECIMAL (5,2) value, 100.00. However, if the precision is 38, then the function only reduces the scale value by 1 unless the scale is 0. For example, the function returns a DECIMAL (38, 36) value of 99.999999999 as a DECIMAL (38, 35) value, 100.00.
Default Value: 0
Types: integer

accumulate

Optional Argument.
Specifies the names of input tbl_teradata columns to copy to the output.
Types: character OR vector of Strings (character)

...

Specifies the generic keyword arguments SQLE functions accept.
Below are the generic keyword arguments:

persist:
Optional Argument.
Specifies whether to persist the results of the function in a table or not.
When set to TRUE, results are persisted in a table; otherwise, results are garbage collected at the end of the session.
Default Value: FALSE
Types: logical

volatile:
Optional Argument.
Specifies whether to put the results of the function in a volatile table or not.
When set to TRUE, results are stored in a volatile table, otherwise not.
Default Value: FALSE
Types: logical

Function allows the user to partition, hash, order or local order the input data. These generic arguments are available for each argument that accepts tbl_teradata as input and can be accessed as:

  • "<input.data.arg.name>.partition.column" accepts character OR vector of Strings (character) (Strings)

  • "<input.data.arg.name>.hash.column" accepts character OR vector of Strings (character) (Strings)

  • "<input.data.arg.name>.order.column" accepts character OR vector of Strings (character) (Strings)

  • "local.order.<input.data.arg.name>" accepts logical

Note:
These generic arguments are supported by tdplyr if the underlying SQL Engine function supports, else an exception is raised.

Value

Function returns an object of class "td_round_columns_sqle" which is a named list containing object of class "tbl_teradata".
Named list member(s) can be referenced directly with the "$" operator using the name(s):result

Examples

  
    
    # Get the current context/connection.
    con <- td_get_context()$connection
    
    # Load the example data.
    loadExampleData("tdplyr_example", "titanic")
    
    # Create tbl_teradata object.
    titanic_data <- tbl(con, "titanic")
    
    # Check the list of available analytic functions.
    display_analytic_functions()
    
    # Example 1: Rounding "fare" column to 2 decimal places.
    obj <- td_round_columns_sqle(
            data=titanic_data,
            target.columns="fare",
            precision.digit=2,
            accumulate=c('pclass', 'sex'))
    
    # Print the result.
    print(obj$result)