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

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

The profile information for each field type.

Defined Under Namespace

Classes: DoubleFieldInfo, IntegerFieldInfo, StringFieldInfo, TopNValue

Instance Attribute Summary collapse

Instance Attribute Details

#distinct_ratio ⇒ ::Float

Returns Ratio of rows with distinct values against total scanned rows. Not available for complex non-groupable field type RECORD and fields with REPEATABLE mode.

Returns:

  • (::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.



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# File 'proto_docs/google/cloud/dataplex/v1/data_profile.rb', line 172

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

#double_profile ⇒ ::Google::Cloud::Dataplex::V1::DataProfileResult::Profile::Field::ProfileInfo::DoubleFieldInfo

Returns Double type field information.

Returns:



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# File 'proto_docs/google/cloud/dataplex/v1/data_profile.rb', line 172

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

#integer_profile ⇒ ::Google::Cloud::Dataplex::V1::DataProfileResult::Profile::Field::ProfileInfo::IntegerFieldInfo

Returns Integer type field information.

Returns:



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# File 'proto_docs/google/cloud/dataplex/v1/data_profile.rb', line 172

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

#null_ratio ⇒ ::Float

Returns Ratio of rows with null value against total scanned rows.

Returns:

  • (::Float) —

    Ratio of rows with null value against total scanned rows.



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# File 'proto_docs/google/cloud/dataplex/v1/data_profile.rb', line 172

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

#string_profile ⇒ ::Google::Cloud::Dataplex::V1::DataProfileResult::Profile::Field::ProfileInfo::StringFieldInfo

Returns String type field information.

Returns:



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# File 'proto_docs/google/cloud/dataplex/v1/data_profile.rb', line 172

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

#top_n_values ⇒ ::Array<::Google::Cloud::Dataplex::V1::DataProfileResult::Profile::Field::ProfileInfo::TopNValue>

Returns 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.

Returns:



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# File 'proto_docs/google/cloud/dataplex/v1/data_profile.rb', line 172

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