Class: Google::Cloud::Dataplex::V1::DataProfileResult::Profile::Field

Inherits:
Object
  • Object
show all
Extended by:
Protobuf::MessageExts::ClassMethods
Includes:
Protobuf::MessageExts
Defined in:
proto_docs/google/cloud/dataplex/v1/data_profile.rb

Overview

A field within a table.

Defined Under Namespace

Classes: ProfileInfo

Instance Attribute Summary collapse

Instance Attribute Details

#mode ⇒ ::String

Returns The mode of the field. Possible values include:

  • REQUIRED, if it is a required field.
  • NULLABLE, if it is an optional field.
  • REPEATED, if it is a repeated field.

Returns:

  • (::String) —

    The mode of the field. Possible values include:

    • REQUIRED, if it is a required field.
    • NULLABLE, if it is an optional field.
    • REPEATED, if it is a repeated field.


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# File 'proto_docs/google/cloud/dataplex/v1/data_profile.rb', line 143

class Field
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # The profile information for each field type.
  # @!attribute [rw] null_ratio
  #   @return [::Float]
  #     Ratio of rows with null value against total scanned rows.
  # @!attribute [rw] distinct_ratio
  #   @return [::Float]
  #     Ratio of rows with distinct values against total scanned rows.
  #     Not available for complex non-groupable field type RECORD and fields
  #     with REPEATABLE mode.
  # @!attribute [rw] top_n_values
  #   @return [::Array<::Google::Cloud::Dataplex::V1::DataProfileResult::Profile::Field::ProfileInfo::TopNValue>]
  #     The list of top N non-null values, frequency and ratio with which
  #     they occur in the scanned data. N is 10 or equal to the number of
  #     distinct values in the field, whichever is smaller. Not available for
  #     complex non-groupable field type RECORD and fields with REPEATABLE
  #     mode.
  # @!attribute [rw] string_profile
  #   @return [::Google::Cloud::Dataplex::V1::DataProfileResult::Profile::Field::ProfileInfo::StringFieldInfo]
  #     String type field information.
  # @!attribute [rw] integer_profile
  #   @return [::Google::Cloud::Dataplex::V1::DataProfileResult::Profile::Field::ProfileInfo::IntegerFieldInfo]
  #     Integer type field information.
  # @!attribute [rw] double_profile
  #   @return [::Google::Cloud::Dataplex::V1::DataProfileResult::Profile::Field::ProfileInfo::DoubleFieldInfo]
  #     Double type field information.
  class ProfileInfo
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # The profile information for a string type field.
    # @!attribute [rw] min_length
    #   @return [::Integer]
    #     Minimum length of non-null values in the scanned data.
    # @!attribute [rw] max_length
    #   @return [::Integer]
    #     Maximum length of non-null values in the scanned data.
    # @!attribute [rw] average_length
    #   @return [::Float]
    #     Average length of non-null values in the scanned data.
    class StringFieldInfo
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end

    # The profile information for an integer type field.
    # @!attribute [rw] average
    #   @return [::Float]
    #     Average of non-null values in the scanned data. NaN, if the field
    #     has a NaN.
    # @!attribute [rw] standard_deviation
    #   @return [::Float]
    #     Standard deviation of non-null values in the scanned data. NaN, if
    #     the field has a NaN.
    # @!attribute [rw] min
    #   @return [::Integer]
    #     Minimum of non-null values in the scanned data. NaN, if the field
    #     has a NaN.
    # @!attribute [rw] quartiles
    #   @return [::Array<::Integer>]
    #     A quartile divides the number of data points into four parts, or
    #     quarters, of more-or-less equal size. Three main quartiles used
    #     are: The first quartile (Q1) splits off the lowest 25% of data from
    #     the highest 75%. It is also known as the lower or 25th empirical
    #     quartile, as 25% of the data is below this point. The second
    #     quartile (Q2) is the median of a data set. So, 50% of the data lies
    #     below this point. The third quartile (Q3) splits off the highest
    #     25% of data from the lowest 75%. It is known as the upper or 75th
    #     empirical quartile, as 75% of the data lies below this point.
    #     Here, the quartiles is provided as an ordered list of approximate
    #     quartile values for the scanned data, occurring in order Q1,
    #     median, Q3.
    # @!attribute [rw] max
    #   @return [::Integer]
    #     Maximum of non-null values in the scanned data. NaN, if the field
    #     has a NaN.
    class IntegerFieldInfo
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end

    # The profile information for a double type field.
    # @!attribute [rw] average
    #   @return [::Float]
    #     Average of non-null values in the scanned data. NaN, if the field
    #     has a NaN.
    # @!attribute [rw] standard_deviation
    #   @return [::Float]
    #     Standard deviation of non-null values in the scanned data. NaN, if
    #     the field has a NaN.
    # @!attribute [rw] min
    #   @return [::Float]
    #     Minimum of non-null values in the scanned data. NaN, if the field
    #     has a NaN.
    # @!attribute [rw] quartiles
    #   @return [::Array<::Float>]
    #     A quartile divides the number of data points into four parts, or
    #     quarters, of more-or-less equal size. Three main quartiles used
    #     are: The first quartile (Q1) splits off the lowest 25% of data from
    #     the highest 75%. It is also known as the lower or 25th empirical
    #     quartile, as 25% of the data is below this point. The second
    #     quartile (Q2) is the median of a data set. So, 50% of the data lies
    #     below this point. The third quartile (Q3) splits off the highest
    #     25% of data from the lowest 75%. It is known as the upper or 75th
    #     empirical quartile, as 75% of the data lies below this point.
    #     Here, the quartiles is provided as an ordered list of quartile
    #     values for the scanned data, occurring in order Q1, median, Q3.
    # @!attribute [rw] max
    #   @return [::Float]
    #     Maximum of non-null values in the scanned data. NaN, if the field
    #     has a NaN.
    class DoubleFieldInfo
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end

    # Top N non-null values in the scanned data.
    # @!attribute [rw] value
    #   @return [::String]
    #     String value of a top N non-null value.
    # @!attribute [rw] count
    #   @return [::Integer]
    #     Count of the corresponding value in the scanned data.
    # @!attribute [rw] ratio
    #   @return [::Float]
    #     Ratio of the corresponding value in the field against the total
    #     number of rows in the scanned data.
    class TopNValue
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end
  end
end

#name ⇒ ::String

Returns The name of the field.

Returns:

  • (::String) —

    The name of the field.



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# File 'proto_docs/google/cloud/dataplex/v1/data_profile.rb', line 143

class Field
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # The profile information for each field type.
  # @!attribute [rw] null_ratio
  #   @return [::Float]
  #     Ratio of rows with null value against total scanned rows.
  # @!attribute [rw] distinct_ratio
  #   @return [::Float]
  #     Ratio of rows with distinct values against total scanned rows.
  #     Not available for complex non-groupable field type RECORD and fields
  #     with REPEATABLE mode.
  # @!attribute [rw] top_n_values
  #   @return [::Array<::Google::Cloud::Dataplex::V1::DataProfileResult::Profile::Field::ProfileInfo::TopNValue>]
  #     The list of top N non-null values, frequency and ratio with which
  #     they occur in the scanned data. N is 10 or equal to the number of
  #     distinct values in the field, whichever is smaller. Not available for
  #     complex non-groupable field type RECORD and fields with REPEATABLE
  #     mode.
  # @!attribute [rw] string_profile
  #   @return [::Google::Cloud::Dataplex::V1::DataProfileResult::Profile::Field::ProfileInfo::StringFieldInfo]
  #     String type field information.
  # @!attribute [rw] integer_profile
  #   @return [::Google::Cloud::Dataplex::V1::DataProfileResult::Profile::Field::ProfileInfo::IntegerFieldInfo]
  #     Integer type field information.
  # @!attribute [rw] double_profile
  #   @return [::Google::Cloud::Dataplex::V1::DataProfileResult::Profile::Field::ProfileInfo::DoubleFieldInfo]
  #     Double type field information.
  class ProfileInfo
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # The profile information for a string type field.
    # @!attribute [rw] min_length
    #   @return [::Integer]
    #     Minimum length of non-null values in the scanned data.
    # @!attribute [rw] max_length
    #   @return [::Integer]
    #     Maximum length of non-null values in the scanned data.
    # @!attribute [rw] average_length
    #   @return [::Float]
    #     Average length of non-null values in the scanned data.
    class StringFieldInfo
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end

    # The profile information for an integer type field.
    # @!attribute [rw] average
    #   @return [::Float]
    #     Average of non-null values in the scanned data. NaN, if the field
    #     has a NaN.
    # @!attribute [rw] standard_deviation
    #   @return [::Float]
    #     Standard deviation of non-null values in the scanned data. NaN, if
    #     the field has a NaN.
    # @!attribute [rw] min
    #   @return [::Integer]
    #     Minimum of non-null values in the scanned data. NaN, if the field
    #     has a NaN.
    # @!attribute [rw] quartiles
    #   @return [::Array<::Integer>]
    #     A quartile divides the number of data points into four parts, or
    #     quarters, of more-or-less equal size. Three main quartiles used
    #     are: The first quartile (Q1) splits off the lowest 25% of data from
    #     the highest 75%. It is also known as the lower or 25th empirical
    #     quartile, as 25% of the data is below this point. The second
    #     quartile (Q2) is the median of a data set. So, 50% of the data lies
    #     below this point. The third quartile (Q3) splits off the highest
    #     25% of data from the lowest 75%. It is known as the upper or 75th
    #     empirical quartile, as 75% of the data lies below this point.
    #     Here, the quartiles is provided as an ordered list of approximate
    #     quartile values for the scanned data, occurring in order Q1,
    #     median, Q3.
    # @!attribute [rw] max
    #   @return [::Integer]
    #     Maximum of non-null values in the scanned data. NaN, if the field
    #     has a NaN.
    class IntegerFieldInfo
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end

    # The profile information for a double type field.
    # @!attribute [rw] average
    #   @return [::Float]
    #     Average of non-null values in the scanned data. NaN, if the field
    #     has a NaN.
    # @!attribute [rw] standard_deviation
    #   @return [::Float]
    #     Standard deviation of non-null values in the scanned data. NaN, if
    #     the field has a NaN.
    # @!attribute [rw] min
    #   @return [::Float]
    #     Minimum of non-null values in the scanned data. NaN, if the field
    #     has a NaN.
    # @!attribute [rw] quartiles
    #   @return [::Array<::Float>]
    #     A quartile divides the number of data points into four parts, or
    #     quarters, of more-or-less equal size. Three main quartiles used
    #     are: The first quartile (Q1) splits off the lowest 25% of data from
    #     the highest 75%. It is also known as the lower or 25th empirical
    #     quartile, as 25% of the data is below this point. The second
    #     quartile (Q2) is the median of a data set. So, 50% of the data lies
    #     below this point. The third quartile (Q3) splits off the highest
    #     25% of data from the lowest 75%. It is known as the upper or 75th
    #     empirical quartile, as 75% of the data lies below this point.
    #     Here, the quartiles is provided as an ordered list of quartile
    #     values for the scanned data, occurring in order Q1, median, Q3.
    # @!attribute [rw] max
    #   @return [::Float]
    #     Maximum of non-null values in the scanned data. NaN, if the field
    #     has a NaN.
    class DoubleFieldInfo
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end

    # Top N non-null values in the scanned data.
    # @!attribute [rw] value
    #   @return [::String]
    #     String value of a top N non-null value.
    # @!attribute [rw] count
    #   @return [::Integer]
    #     Count of the corresponding value in the scanned data.
    # @!attribute [rw] ratio
    #   @return [::Float]
    #     Ratio of the corresponding value in the field against the total
    #     number of rows in the scanned data.
    class TopNValue
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end
  end
end

#profile ⇒ ::Google::Cloud::Dataplex::V1::DataProfileResult::Profile::Field::ProfileInfo

Returns Profile information for the corresponding field.

Returns:



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# File 'proto_docs/google/cloud/dataplex/v1/data_profile.rb', line 143

class Field
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # The profile information for each field type.
  # @!attribute [rw] null_ratio
  #   @return [::Float]
  #     Ratio of rows with null value against total scanned rows.
  # @!attribute [rw] distinct_ratio
  #   @return [::Float]
  #     Ratio of rows with distinct values against total scanned rows.
  #     Not available for complex non-groupable field type RECORD and fields
  #     with REPEATABLE mode.
  # @!attribute [rw] top_n_values
  #   @return [::Array<::Google::Cloud::Dataplex::V1::DataProfileResult::Profile::Field::ProfileInfo::TopNValue>]
  #     The list of top N non-null values, frequency and ratio with which
  #     they occur in the scanned data. N is 10 or equal to the number of
  #     distinct values in the field, whichever is smaller. Not available for
  #     complex non-groupable field type RECORD and fields with REPEATABLE
  #     mode.
  # @!attribute [rw] string_profile
  #   @return [::Google::Cloud::Dataplex::V1::DataProfileResult::Profile::Field::ProfileInfo::StringFieldInfo]
  #     String type field information.
  # @!attribute [rw] integer_profile
  #   @return [::Google::Cloud::Dataplex::V1::DataProfileResult::Profile::Field::ProfileInfo::IntegerFieldInfo]
  #     Integer type field information.
  # @!attribute [rw] double_profile
  #   @return [::Google::Cloud::Dataplex::V1::DataProfileResult::Profile::Field::ProfileInfo::DoubleFieldInfo]
  #     Double type field information.
  class ProfileInfo
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # The profile information for a string type field.
    # @!attribute [rw] min_length
    #   @return [::Integer]
    #     Minimum length of non-null values in the scanned data.
    # @!attribute [rw] max_length
    #   @return [::Integer]
    #     Maximum length of non-null values in the scanned data.
    # @!attribute [rw] average_length
    #   @return [::Float]
    #     Average length of non-null values in the scanned data.
    class StringFieldInfo
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end

    # The profile information for an integer type field.
    # @!attribute [rw] average
    #   @return [::Float]
    #     Average of non-null values in the scanned data. NaN, if the field
    #     has a NaN.
    # @!attribute [rw] standard_deviation
    #   @return [::Float]
    #     Standard deviation of non-null values in the scanned data. NaN, if
    #     the field has a NaN.
    # @!attribute [rw] min
    #   @return [::Integer]
    #     Minimum of non-null values in the scanned data. NaN, if the field
    #     has a NaN.
    # @!attribute [rw] quartiles
    #   @return [::Array<::Integer>]
    #     A quartile divides the number of data points into four parts, or
    #     quarters, of more-or-less equal size. Three main quartiles used
    #     are: The first quartile (Q1) splits off the lowest 25% of data from
    #     the highest 75%. It is also known as the lower or 25th empirical
    #     quartile, as 25% of the data is below this point. The second
    #     quartile (Q2) is the median of a data set. So, 50% of the data lies
    #     below this point. The third quartile (Q3) splits off the highest
    #     25% of data from the lowest 75%. It is known as the upper or 75th
    #     empirical quartile, as 75% of the data lies below this point.
    #     Here, the quartiles is provided as an ordered list of approximate
    #     quartile values for the scanned data, occurring in order Q1,
    #     median, Q3.
    # @!attribute [rw] max
    #   @return [::Integer]
    #     Maximum of non-null values in the scanned data. NaN, if the field
    #     has a NaN.
    class IntegerFieldInfo
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end

    # The profile information for a double type field.
    # @!attribute [rw] average
    #   @return [::Float]
    #     Average of non-null values in the scanned data. NaN, if the field
    #     has a NaN.
    # @!attribute [rw] standard_deviation
    #   @return [::Float]
    #     Standard deviation of non-null values in the scanned data. NaN, if
    #     the field has a NaN.
    # @!attribute [rw] min
    #   @return [::Float]
    #     Minimum of non-null values in the scanned data. NaN, if the field
    #     has a NaN.
    # @!attribute [rw] quartiles
    #   @return [::Array<::Float>]
    #     A quartile divides the number of data points into four parts, or
    #     quarters, of more-or-less equal size. Three main quartiles used
    #     are: The first quartile (Q1) splits off the lowest 25% of data from
    #     the highest 75%. It is also known as the lower or 25th empirical
    #     quartile, as 25% of the data is below this point. The second
    #     quartile (Q2) is the median of a data set. So, 50% of the data lies
    #     below this point. The third quartile (Q3) splits off the highest
    #     25% of data from the lowest 75%. It is known as the upper or 75th
    #     empirical quartile, as 75% of the data lies below this point.
    #     Here, the quartiles is provided as an ordered list of quartile
    #     values for the scanned data, occurring in order Q1, median, Q3.
    # @!attribute [rw] max
    #   @return [::Float]
    #     Maximum of non-null values in the scanned data. NaN, if the field
    #     has a NaN.
    class DoubleFieldInfo
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end

    # Top N non-null values in the scanned data.
    # @!attribute [rw] value
    #   @return [::String]
    #     String value of a top N non-null value.
    # @!attribute [rw] count
    #   @return [::Integer]
    #     Count of the corresponding value in the scanned data.
    # @!attribute [rw] ratio
    #   @return [::Float]
    #     Ratio of the corresponding value in the field against the total
    #     number of rows in the scanned data.
    class TopNValue
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end
  end
end

#type ⇒ ::String

Returns The data type retrieved from the schema of the data source. For instance, for a BigQuery native table, it is the BigQuery Table Schema. For a Dataplex Entity, it is the Entity Schema.

Returns:

  • (::String) —

    The data type retrieved from the schema of the data source. For instance, for a BigQuery native table, it is the BigQuery Table Schema. For a Dataplex Entity, it is the Entity Schema.



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# File 'proto_docs/google/cloud/dataplex/v1/data_profile.rb', line 143

class Field
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # The profile information for each field type.
  # @!attribute [rw] null_ratio
  #   @return [::Float]
  #     Ratio of rows with null value against total scanned rows.
  # @!attribute [rw] distinct_ratio
  #   @return [::Float]
  #     Ratio of rows with distinct values against total scanned rows.
  #     Not available for complex non-groupable field type RECORD and fields
  #     with REPEATABLE mode.
  # @!attribute [rw] top_n_values
  #   @return [::Array<::Google::Cloud::Dataplex::V1::DataProfileResult::Profile::Field::ProfileInfo::TopNValue>]
  #     The list of top N non-null values, frequency and ratio with which
  #     they occur in the scanned data. N is 10 or equal to the number of
  #     distinct values in the field, whichever is smaller. Not available for
  #     complex non-groupable field type RECORD and fields with REPEATABLE
  #     mode.
  # @!attribute [rw] string_profile
  #   @return [::Google::Cloud::Dataplex::V1::DataProfileResult::Profile::Field::ProfileInfo::StringFieldInfo]
  #     String type field information.
  # @!attribute [rw] integer_profile
  #   @return [::Google::Cloud::Dataplex::V1::DataProfileResult::Profile::Field::ProfileInfo::IntegerFieldInfo]
  #     Integer type field information.
  # @!attribute [rw] double_profile
  #   @return [::Google::Cloud::Dataplex::V1::DataProfileResult::Profile::Field::ProfileInfo::DoubleFieldInfo]
  #     Double type field information.
  class ProfileInfo
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # The profile information for a string type field.
    # @!attribute [rw] min_length
    #   @return [::Integer]
    #     Minimum length of non-null values in the scanned data.
    # @!attribute [rw] max_length
    #   @return [::Integer]
    #     Maximum length of non-null values in the scanned data.
    # @!attribute [rw] average_length
    #   @return [::Float]
    #     Average length of non-null values in the scanned data.
    class StringFieldInfo
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end

    # The profile information for an integer type field.
    # @!attribute [rw] average
    #   @return [::Float]
    #     Average of non-null values in the scanned data. NaN, if the field
    #     has a NaN.
    # @!attribute [rw] standard_deviation
    #   @return [::Float]
    #     Standard deviation of non-null values in the scanned data. NaN, if
    #     the field has a NaN.
    # @!attribute [rw] min
    #   @return [::Integer]
    #     Minimum of non-null values in the scanned data. NaN, if the field
    #     has a NaN.
    # @!attribute [rw] quartiles
    #   @return [::Array<::Integer>]
    #     A quartile divides the number of data points into four parts, or
    #     quarters, of more-or-less equal size. Three main quartiles used
    #     are: The first quartile (Q1) splits off the lowest 25% of data from
    #     the highest 75%. It is also known as the lower or 25th empirical
    #     quartile, as 25% of the data is below this point. The second
    #     quartile (Q2) is the median of a data set. So, 50% of the data lies
    #     below this point. The third quartile (Q3) splits off the highest
    #     25% of data from the lowest 75%. It is known as the upper or 75th
    #     empirical quartile, as 75% of the data lies below this point.
    #     Here, the quartiles is provided as an ordered list of approximate
    #     quartile values for the scanned data, occurring in order Q1,
    #     median, Q3.
    # @!attribute [rw] max
    #   @return [::Integer]
    #     Maximum of non-null values in the scanned data. NaN, if the field
    #     has a NaN.
    class IntegerFieldInfo
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end

    # The profile information for a double type field.
    # @!attribute [rw] average
    #   @return [::Float]
    #     Average of non-null values in the scanned data. NaN, if the field
    #     has a NaN.
    # @!attribute [rw] standard_deviation
    #   @return [::Float]
    #     Standard deviation of non-null values in the scanned data. NaN, if
    #     the field has a NaN.
    # @!attribute [rw] min
    #   @return [::Float]
    #     Minimum of non-null values in the scanned data. NaN, if the field
    #     has a NaN.
    # @!attribute [rw] quartiles
    #   @return [::Array<::Float>]
    #     A quartile divides the number of data points into four parts, or
    #     quarters, of more-or-less equal size. Three main quartiles used
    #     are: The first quartile (Q1) splits off the lowest 25% of data from
    #     the highest 75%. It is also known as the lower or 25th empirical
    #     quartile, as 25% of the data is below this point. The second
    #     quartile (Q2) is the median of a data set. So, 50% of the data lies
    #     below this point. The third quartile (Q3) splits off the highest
    #     25% of data from the lowest 75%. It is known as the upper or 75th
    #     empirical quartile, as 75% of the data lies below this point.
    #     Here, the quartiles is provided as an ordered list of quartile
    #     values for the scanned data, occurring in order Q1, median, Q3.
    # @!attribute [rw] max
    #   @return [::Float]
    #     Maximum of non-null values in the scanned data. NaN, if the field
    #     has a NaN.
    class DoubleFieldInfo
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end

    # Top N non-null values in the scanned data.
    # @!attribute [rw] value
    #   @return [::String]
    #     String value of a top N non-null value.
    # @!attribute [rw] count
    #   @return [::Integer]
    #     Count of the corresponding value in the scanned data.
    # @!attribute [rw] ratio
    #   @return [::Float]
    #     Ratio of the corresponding value in the field against the total
    #     number of rows in the scanned data.
    class TopNValue
      include ::Google::Protobuf::MessageExts
      extend ::Google::Protobuf::MessageExts::ClassMethods
    end
  end
end