NullRate

Description

When there is a large amount of data, the final result will always be greatly affected by the problem of data null value. Therefore, early null value detection is particularly important. For this reason, this function came into being

tip

This transform ONLY supported by Spark.

Options

name	type	required	default value
fields	string_list	yes	-
rates	double_list	yes	-
throw_exception_enable	boolean	no	-
save_to_table_name	string	no	-

field [string_list]

Which fields do you want to monitor .

rates [double_list]

It is consistent with the number of fields. Double type indicates the set null rate value .

throw_exception_enable [boolean]

Whether to throw an exception when it is greater than the set value. The default value is false .

save_to_table_name [string]

Whether the current verification value is output to the table. It is not output by defaul .

common options [string]

Transform plugin common parameters, please refer to Transform Plugin for details

Examples

  nullRate {
     fields = ["msg", "name"]
     rates = [10.0,3.45]
     save_to_table_name = "tmp"
     throw_exception_enable = true
  }
}

Use NullRate in transform's Dataset.

  transform {
    NullRate {
      fields = ["msg", "name"]
      rates = [10.0,3.45]
      save_to_table_name = "tmp"
      throw_exception_enable = true
    }
  }