syedahsn opened a new pull request, #40870:
URL: https://github.com/apache/airflow/pull/40870
The glue data quality system tests are failing recently. The issue seems to
be related to how the data is formatted.
The logs from a failed run show this:
```
[2024-07-18, 16:58:06 UTC] {glue.py:490} INFO - Name
Description Result
EvaluatedMetrics EvaluationMessage
0 Rule_1 RowCount between 2 and 8 PASS
{'Dataset.*.RowCount': 4.0}
NaN
1 Rule_2 IsComplete "name" PASS
{'Column.name.Completeness': 1.0}
NaN
2 Rule_3 Uniqueness "name" > 0.95 PASS
{'Column.name.Uniqueness': 1.0}
NaN
3 Rule_4 ColumnLength "name" between 3 and 14 PASS
{'Column.name.MaximumLength': 13.0, 'Column.name.MinimumLength': 4.0}
NaN
4 Rule_5 Completeness "age" >= 0.32 PASS
{'Column.age.Completeness': 0.75}
NaN
5 Rule_6 StandardDeviation "age" between 2.8 and 3.09 PASS
{'Column.age.StandardDeviation': 2.943920288775949}
NaN
6 Rule_7 ColumnValues "age" between 22 and 31 FAIL
{'Column.age.Maximum': 30.0, 'Column.age.Minimum': 23.0} Value: NULL does not
meet the constraint requirement!
[2024-07-18, 16:58:06 UTC] {glue.py:524} INFO - AWS Glue data quality
ruleset evaluation run, total number of rules failed: 1
```
Note: The row count is listed as 4, even though only data points are given.
Reformatting the sample data seems to solve the issue.
```
[2024-07-18, 17:10:00 UTC] {glue.py:490} INFO - Name
Description Result
EvaluatedMetrics
0 Rule_1 RowCount between 1 and 6 PASS
{'Dataset.*.RowCount': 3.0}
1 Rule_2 IsComplete "name" PASS
{'Column.name.Completeness': 1.0}
2 Rule_3 Uniqueness "name" > 0.95 PASS
{'Column.name.Uniqueness': 1.0}
3 Rule_4 ColumnLength "name" between 4 and 14 PASS
{'Column.name.MaximumLength': 13.0, 'Column.name.MinimumLength': 5.0}
```
@gopidesupavan If you want to have a look and see if this is accurate or
not, I'd appreciate it.
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