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Documentation regenerated with some recent fixes.
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‎distribution/python/dqops/client/models/delete_stored_data_queue_job_parameters.py

+10
Original file line numberDiff line numberDiff line change
@@ -32,6 +32,9 @@ class DeleteStoredDataQueueJobParameters:
3232
delete_sensor_readouts (Union[Unset, bool]): Delete the data from the
3333
[sensor_readouts](../../reference/parquetfiles/sensor_readouts.md) table. Because the default value is *false*,
3434
this parameter must be set to *true* to delete the sensor readouts.
35+
delete_error_samples (Union[Unset, bool]): Delete the data from the
36+
[error_samples](../../reference/parquetfiles/error_samples.md) table. Because the default value is *false*, this
37+
parameter must be set to *true* to delete the error samples.
3538
column_names (Union[Unset, List[str]]): The list of column names to delete the data for column level results or
3639
errors only for selected columns.
3740
check_category (Union[Unset, str]): The check category name, for example *volume* or *anomaly*.
@@ -66,6 +69,7 @@ class DeleteStoredDataQueueJobParameters:
6669
delete_statistics: Union[Unset, bool] = UNSET
6770
delete_check_results: Union[Unset, bool] = UNSET
6871
delete_sensor_readouts: Union[Unset, bool] = UNSET
72+
delete_error_samples: Union[Unset, bool] = UNSET
6973
column_names: Union[Unset, List[str]] = UNSET
7074
check_category: Union[Unset, str] = UNSET
7175
table_comparison_name: Union[Unset, str] = UNSET
@@ -95,6 +99,7 @@ def to_dict(self) -> Dict[str, Any]:
9599
delete_statistics = self.delete_statistics
96100
delete_check_results = self.delete_check_results
97101
delete_sensor_readouts = self.delete_sensor_readouts
102+
delete_error_samples = self.delete_error_samples
98103
column_names: Union[Unset, List[str]] = UNSET
99104
if not isinstance(self.column_names, Unset):
100105
column_names = self.column_names
@@ -130,6 +135,8 @@ def to_dict(self) -> Dict[str, Any]:
130135
field_dict["deleteCheckResults"] = delete_check_results
131136
if delete_sensor_readouts is not UNSET:
132137
field_dict["deleteSensorReadouts"] = delete_sensor_readouts
138+
if delete_error_samples is not UNSET:
139+
field_dict["deleteErrorSamples"] = delete_error_samples
133140
if column_names is not UNSET:
134141
field_dict["columnNames"] = column_names
135142
if check_category is not UNSET:
@@ -186,6 +193,8 @@ def from_dict(cls: Type[T], src_dict: Dict[str, Any]) -> T:
186193

187194
delete_sensor_readouts = d.pop("deleteSensorReadouts", UNSET)
188195

196+
delete_error_samples = d.pop("deleteErrorSamples", UNSET)
197+
189198
column_names = cast(List[str], d.pop("columnNames", UNSET))
190199

191200
check_category = d.pop("checkCategory", UNSET)
@@ -219,6 +228,7 @@ def from_dict(cls: Type[T], src_dict: Dict[str, Any]) -> T:
219228
delete_statistics=delete_statistics,
220229
delete_check_results=delete_check_results,
221230
delete_sensor_readouts=delete_sensor_readouts,
231+
delete_error_samples=delete_error_samples,
222232
column_names=column_names,
223233
check_category=check_category,
224234
table_comparison_name=table_comparison_name,

‎docs/checks/column/datetime/text-match-date-format-percent.md

+10-10
Original file line numberDiff line numberDiff line change
@@ -230,7 +230,7 @@ spec:
230230
WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
231231
ELSE 100.0 * SUM(
232232
CASE
233-
WHEN REGEXP_MATCHES(CAST({{lib.render_target_column('analyzed_table')}} AS VARCHAR), {{ lib.render_date_format(parameters.date_format) }}) IS TRUE
233+
WHEN REGEXP_MATCHES(CAST({{lib.render_target_column('analyzed_table')}} AS VARCHAR), {{ lib.render_date_format_regex(parameters.date_format) }}) IS TRUE
234234
THEN 1
235235
ELSE 0
236236
END
@@ -825,7 +825,7 @@ Expand the *Configure with data grouping* section to see additional examples for
825825
WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
826826
ELSE 100.0 * SUM(
827827
CASE
828-
WHEN REGEXP_MATCHES(CAST({{lib.render_target_column('analyzed_table')}} AS VARCHAR), {{ lib.render_date_format(parameters.date_format) }}) IS TRUE
828+
WHEN REGEXP_MATCHES(CAST({{lib.render_target_column('analyzed_table')}} AS VARCHAR), {{ lib.render_date_format_regex(parameters.date_format) }}) IS TRUE
829829
THEN 1
830830
ELSE 0
831831
END
@@ -1532,7 +1532,7 @@ spec:
15321532
WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
15331533
ELSE 100.0 * SUM(
15341534
CASE
1535-
WHEN REGEXP_MATCHES(CAST({{lib.render_target_column('analyzed_table')}} AS VARCHAR), {{ lib.render_date_format(parameters.date_format) }}) IS TRUE
1535+
WHEN REGEXP_MATCHES(CAST({{lib.render_target_column('analyzed_table')}} AS VARCHAR), {{ lib.render_date_format_regex(parameters.date_format) }}) IS TRUE
15361536
THEN 1
15371537
ELSE 0
15381538
END
@@ -2128,7 +2128,7 @@ Expand the *Configure with data grouping* section to see additional examples for
21282128
WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
21292129
ELSE 100.0 * SUM(
21302130
CASE
2131-
WHEN REGEXP_MATCHES(CAST({{lib.render_target_column('analyzed_table')}} AS VARCHAR), {{ lib.render_date_format(parameters.date_format) }}) IS TRUE
2131+
WHEN REGEXP_MATCHES(CAST({{lib.render_target_column('analyzed_table')}} AS VARCHAR), {{ lib.render_date_format_regex(parameters.date_format) }}) IS TRUE
21322132
THEN 1
21332133
ELSE 0
21342134
END
@@ -2835,7 +2835,7 @@ spec:
28352835
WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
28362836
ELSE 100.0 * SUM(
28372837
CASE
2838-
WHEN REGEXP_MATCHES(CAST({{lib.render_target_column('analyzed_table')}} AS VARCHAR), {{ lib.render_date_format(parameters.date_format) }}) IS TRUE
2838+
WHEN REGEXP_MATCHES(CAST({{lib.render_target_column('analyzed_table')}} AS VARCHAR), {{ lib.render_date_format_regex(parameters.date_format) }}) IS TRUE
28392839
THEN 1
28402840
ELSE 0
28412841
END
@@ -3431,7 +3431,7 @@ Expand the *Configure with data grouping* section to see additional examples for
34313431
WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
34323432
ELSE 100.0 * SUM(
34333433
CASE
3434-
WHEN REGEXP_MATCHES(CAST({{lib.render_target_column('analyzed_table')}} AS VARCHAR), {{ lib.render_date_format(parameters.date_format) }}) IS TRUE
3434+
WHEN REGEXP_MATCHES(CAST({{lib.render_target_column('analyzed_table')}} AS VARCHAR), {{ lib.render_date_format_regex(parameters.date_format) }}) IS TRUE
34353435
THEN 1
34363436
ELSE 0
34373437
END
@@ -4156,7 +4156,7 @@ spec:
41564156
WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
41574157
ELSE 100.0 * SUM(
41584158
CASE
4159-
WHEN REGEXP_MATCHES(CAST({{lib.render_target_column('analyzed_table')}} AS VARCHAR), {{ lib.render_date_format(parameters.date_format) }}) IS TRUE
4159+
WHEN REGEXP_MATCHES(CAST({{lib.render_target_column('analyzed_table')}} AS VARCHAR), {{ lib.render_date_format_regex(parameters.date_format) }}) IS TRUE
41604160
THEN 1
41614161
ELSE 0
41624162
END
@@ -4814,7 +4814,7 @@ Expand the *Configure with data grouping* section to see additional examples for
48144814
WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
48154815
ELSE 100.0 * SUM(
48164816
CASE
4817-
WHEN REGEXP_MATCHES(CAST({{lib.render_target_column('analyzed_table')}} AS VARCHAR), {{ lib.render_date_format(parameters.date_format) }}) IS TRUE
4817+
WHEN REGEXP_MATCHES(CAST({{lib.render_target_column('analyzed_table')}} AS VARCHAR), {{ lib.render_date_format_regex(parameters.date_format) }}) IS TRUE
48184818
THEN 1
48194819
ELSE 0
48204820
END
@@ -5563,7 +5563,7 @@ spec:
55635563
WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
55645564
ELSE 100.0 * SUM(
55655565
CASE
5566-
WHEN REGEXP_MATCHES(CAST({{lib.render_target_column('analyzed_table')}} AS VARCHAR), {{ lib.render_date_format(parameters.date_format) }}) IS TRUE
5566+
WHEN REGEXP_MATCHES(CAST({{lib.render_target_column('analyzed_table')}} AS VARCHAR), {{ lib.render_date_format_regex(parameters.date_format) }}) IS TRUE
55675567
THEN 1
55685568
ELSE 0
55695569
END
@@ -6221,7 +6221,7 @@ Expand the *Configure with data grouping* section to see additional examples for
62216221
WHEN COUNT({{ lib.render_target_column('analyzed_table') }}) = 0 THEN 100.0
62226222
ELSE 100.0 * SUM(
62236223
CASE
6224-
WHEN REGEXP_MATCHES(CAST({{lib.render_target_column('analyzed_table')}} AS VARCHAR), {{ lib.render_date_format(parameters.date_format) }}) IS TRUE
6224+
WHEN REGEXP_MATCHES(CAST({{lib.render_target_column('analyzed_table')}} AS VARCHAR), {{ lib.render_date_format_regex(parameters.date_format) }}) IS TRUE
62256225
THEN 1
62266226
ELSE 0
62276227
END

‎docs/checks/column/patterns/text-matching-date-pattern-percent.md

+10-10
Original file line numberDiff line numberDiff line change
@@ -247,7 +247,7 @@ spec:
247247
WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
248248
ELSE 100.0 * SUM(
249249
CASE
250-
WHEN REGEXP_MATCHES(analyzed_table."target_column"::VARCHAR, '^(\d{4})-(0[1-9]|1[0-2])-(0[1-9]|[1-2][0-9]|3[0-1])$') IS TRUE
250+
WHEN REGEXP_MATCHES(analyzed_table."target_column"::VARCHAR, 'yyyy-mm-dd') IS TRUE
251251
THEN 1
252252
ELSE 0
253253
END
@@ -823,7 +823,7 @@ Expand the *Configure with data grouping* section to see additional examples for
823823
WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
824824
ELSE 100.0 * SUM(
825825
CASE
826-
WHEN REGEXP_MATCHES(analyzed_table."target_column"::VARCHAR, '^(\d{4})-(0[1-9]|1[0-2])-(0[1-9]|[1-2][0-9]|3[0-1])$') IS TRUE
826+
WHEN REGEXP_MATCHES(analyzed_table."target_column"::VARCHAR, 'yyyy-mm-dd') IS TRUE
827827
THEN 1
828828
ELSE 0
829829
END
@@ -1513,7 +1513,7 @@ spec:
15131513
WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
15141514
ELSE 100.0 * SUM(
15151515
CASE
1516-
WHEN REGEXP_MATCHES(analyzed_table."target_column"::VARCHAR, '^(\d{4})-(0[1-9]|1[0-2])-(0[1-9]|[1-2][0-9]|3[0-1])$') IS TRUE
1516+
WHEN REGEXP_MATCHES(analyzed_table."target_column"::VARCHAR, 'yyyy-mm-dd') IS TRUE
15171517
THEN 1
15181518
ELSE 0
15191519
END
@@ -2090,7 +2090,7 @@ Expand the *Configure with data grouping* section to see additional examples for
20902090
WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
20912091
ELSE 100.0 * SUM(
20922092
CASE
2093-
WHEN REGEXP_MATCHES(analyzed_table."target_column"::VARCHAR, '^(\d{4})-(0[1-9]|1[0-2])-(0[1-9]|[1-2][0-9]|3[0-1])$') IS TRUE
2093+
WHEN REGEXP_MATCHES(analyzed_table."target_column"::VARCHAR, 'yyyy-mm-dd') IS TRUE
20942094
THEN 1
20952095
ELSE 0
20962096
END
@@ -2780,7 +2780,7 @@ spec:
27802780
WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
27812781
ELSE 100.0 * SUM(
27822782
CASE
2783-
WHEN REGEXP_MATCHES(analyzed_table."target_column"::VARCHAR, '^(\d{4})-(0[1-9]|1[0-2])-(0[1-9]|[1-2][0-9]|3[0-1])$') IS TRUE
2783+
WHEN REGEXP_MATCHES(analyzed_table."target_column"::VARCHAR, 'yyyy-mm-dd') IS TRUE
27842784
THEN 1
27852785
ELSE 0
27862786
END
@@ -3357,7 +3357,7 @@ Expand the *Configure with data grouping* section to see additional examples for
33573357
WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
33583358
ELSE 100.0 * SUM(
33593359
CASE
3360-
WHEN REGEXP_MATCHES(analyzed_table."target_column"::VARCHAR, '^(\d{4})-(0[1-9]|1[0-2])-(0[1-9]|[1-2][0-9]|3[0-1])$') IS TRUE
3360+
WHEN REGEXP_MATCHES(analyzed_table."target_column"::VARCHAR, 'yyyy-mm-dd') IS TRUE
33613361
THEN 1
33623362
ELSE 0
33633363
END
@@ -4065,7 +4065,7 @@ spec:
40654065
WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
40664066
ELSE 100.0 * SUM(
40674067
CASE
4068-
WHEN REGEXP_MATCHES(analyzed_table."target_column"::VARCHAR, '^(\d{4})-(0[1-9]|1[0-2])-(0[1-9]|[1-2][0-9]|3[0-1])$') IS TRUE
4068+
WHEN REGEXP_MATCHES(analyzed_table."target_column"::VARCHAR, 'yyyy-mm-dd') IS TRUE
40694069
THEN 1
40704070
ELSE 0
40714071
END
@@ -4704,7 +4704,7 @@ Expand the *Configure with data grouping* section to see additional examples for
47044704
WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
47054705
ELSE 100.0 * SUM(
47064706
CASE
4707-
WHEN REGEXP_MATCHES(analyzed_table."target_column"::VARCHAR, '^(\d{4})-(0[1-9]|1[0-2])-(0[1-9]|[1-2][0-9]|3[0-1])$') IS TRUE
4707+
WHEN REGEXP_MATCHES(analyzed_table."target_column"::VARCHAR, 'yyyy-mm-dd') IS TRUE
47084708
THEN 1
47094709
ELSE 0
47104710
END
@@ -5436,7 +5436,7 @@ spec:
54365436
WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
54375437
ELSE 100.0 * SUM(
54385438
CASE
5439-
WHEN REGEXP_MATCHES(analyzed_table."target_column"::VARCHAR, '^(\d{4})-(0[1-9]|1[0-2])-(0[1-9]|[1-2][0-9]|3[0-1])$') IS TRUE
5439+
WHEN REGEXP_MATCHES(analyzed_table."target_column"::VARCHAR, 'yyyy-mm-dd') IS TRUE
54405440
THEN 1
54415441
ELSE 0
54425442
END
@@ -6075,7 +6075,7 @@ Expand the *Configure with data grouping* section to see additional examples for
60756075
WHEN COUNT(analyzed_table."target_column") = 0 THEN 100.0
60766076
ELSE 100.0 * SUM(
60776077
CASE
6078-
WHEN REGEXP_MATCHES(analyzed_table."target_column"::VARCHAR, '^(\d{4})-(0[1-9]|1[0-2])-(0[1-9]|[1-2][0-9]|3[0-1])$') IS TRUE
6078+
WHEN REGEXP_MATCHES(analyzed_table."target_column"::VARCHAR, 'yyyy-mm-dd') IS TRUE
60796079
THEN 1
60806080
ELSE 0
60816081
END

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