lib/google/apis/dataplex_v1/classes.rb in google-apis-dataplex_v1-0.30.0 vs lib/google/apis/dataplex_v1/classes.rb in google-apis-dataplex_v1-0.31.0

- old
+ new

@@ -1385,12 +1385,12 @@ # 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. + # ordered list of approximate quartile values for the scanned data, occurring in + # order Q1, median, Q3. # Corresponds to the JSON property `quartiles` # @return [Array<Fixnum>] attr_accessor :quartiles # Standard deviation of non-null values in the scanned data. NaN, if the field @@ -2214,10 +2214,16 @@ # Applied configs for data profile type data scan job. class GoogleCloudDataplexV1DataScanEventDataProfileAppliedConfigs include Google::Apis::Core::Hashable + # Boolean indicating whether a column filter was applied in the DataScan job. + # Corresponds to the JSON property `columnFilterApplied` + # @return [Boolean] + attr_accessor :column_filter_applied + alias_method :column_filter_applied?, :column_filter_applied + # Boolean indicating whether a row filter was applied in the DataScan job. # Corresponds to the JSON property `rowFilterApplied` # @return [Boolean] attr_accessor :row_filter_applied alias_method :row_filter_applied?, :row_filter_applied @@ -2233,9 +2239,10 @@ update!(**args) end # Update properties of this object def update!(**args) + @column_filter_applied = args[:column_filter_applied] if args.key?(:column_filter_applied) @row_filter_applied = args[:row_filter_applied] if args.key?(:row_filter_applied) @sampling_percent = args[:sampling_percent] if args.key?(:sampling_percent) end end