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Steps to reproduce:
Table contain column 'strColumn' which type is 'string'
test.yml:
checks testTable:
- row_count:
warn: when = 0
name: Table cannot be empty
- schema:
fail:
when required column missing:
- strColumn
- missing_count(strColumn) = 0:
name: strColumn should be provided
- invalid_count(strColumn) = 0:
name: strColumn must be a positive number # << Not true because strColumn is string
valid min: 1 # << Invalid pattern because string cannot be greater then 1
Expected results:
At least 3 results should be returned for row_count, schema and missing_count. Error from the invalid_count should be captured by get_checks_fail_text()
Current results:
1 result received for schema, 3 results missed
Steps to reproduce:
Table contain column 'strColumn' which type is 'string'
test.yml:
Expected results:
At least 3 results should be returned for row_count, schema and missing_count. Error from the invalid_count should be captured by
get_checks_fail_text()
Current results:
1 result received for schema, 3 results missed
Environment:
soda-core-spark-df==3.0.46
Databricks
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