Class DataQualityRule (1.4.2)

Version 1.4.2

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DataQualityRule(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A rule captures data quality intent about a data source.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

Attributes
Name	Description
range_expectation	google.cloud.dataplex_v1.types.DataQualityRule.RangeExpectation ColumnMap rule which evaluates whether each column value lies between a specified range. This field is a member of oneof_ rule_type.
non_null_expectation	google.cloud.dataplex_v1.types.DataQualityRule.NonNullExpectation ColumnMap rule which evaluates whether each column value is null. This field is a member of oneof_ rule_type.
set_expectation	google.cloud.dataplex_v1.types.DataQualityRule.SetExpectation ColumnMap rule which evaluates whether each column value is contained by a specified set. This field is a member of oneof_ rule_type.
regex_expectation	google.cloud.dataplex_v1.types.DataQualityRule.RegexExpectation ColumnMap rule which evaluates whether each column value matches a specified regex. This field is a member of oneof_ rule_type.
uniqueness_expectation	google.cloud.dataplex_v1.types.DataQualityRule.UniquenessExpectation ColumnAggregate rule which evaluates whether the column has duplicates. This field is a member of oneof_ rule_type.
statistic_range_expectation	google.cloud.dataplex_v1.types.DataQualityRule.StatisticRangeExpectation ColumnAggregate rule which evaluates whether the column aggregate statistic lies between a specified range. This field is a member of oneof_ rule_type.
row_condition_expectation	google.cloud.dataplex_v1.types.DataQualityRule.RowConditionExpectation Table rule which evaluates whether each row passes the specified condition. This field is a member of oneof_ rule_type.
table_condition_expectation	google.cloud.dataplex_v1.types.DataQualityRule.TableConditionExpectation Table rule which evaluates whether the provided expression is true. This field is a member of oneof_ rule_type.
column	str Optional. The unnested column which this rule is evaluated against.
ignore_null	bool Optional. Rows with null values will automatically fail a rule, unless ignore_null is true. In that case, such null rows are trivially considered passing. Only applicable to ColumnMap rules.
dimension	str Required. The dimension a rule belongs to. Results are also aggregated at the dimension-level. Supported dimensions are ["COMPLETENESS", "ACCURACY", "CONSISTENCY", "VALIDITY", "UNIQUENESS", "INTEGRITY"]
threshold	float Optional. The minimum ratio of passing_rows / total_rows required to pass this rule, with a range of [0.0, 1.0] 0 indicates default value (i.e. 1.0)

Classes

NonNullExpectation

NonNullExpectation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Evaluates whether each column value is null.

RangeExpectation

RangeExpectation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Evaluates whether each column value lies between a specified range.

RegexExpectation

RegexExpectation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Evaluates whether each column value matches a specified regex.

RowConditionExpectation

RowConditionExpectation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Evaluates whether each row passes the specified condition. The SQL expression needs to use BigQuery standard SQL syntax and should produce a boolean per row as the result. Example: col1 >= 0 AND col2 < 10

SetExpectation

SetExpectation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Evaluates whether each column value is contained by a specified set.

StatisticRangeExpectation

StatisticRangeExpectation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Evaluates whether the column aggregate statistic lies between a specified range.

TableConditionExpectation

TableConditionExpectation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Evaluates whether the provided expression is true. The SQL expression needs to use BigQuery standard SQL syntax and should produce a scalar boolean result. Example: MIN(col1) >= 0

UniquenessExpectation

UniquenessExpectation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Evaluates whether the column has duplicates.