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