feat(openmetadata): profiler + data-quality tests for data insight
Profiler: - pg/mysql: table-level metrics via DB statistics (exact-ish row counts) only; source tables hold 24-53M rows and OM's column profiler full-scans per column (no TABLESAMPLE pushdown), which would hammer the live CDC source. - trino/iceberg: full column metrics + sample data on the small (20-25k row) curated_masked + hadoop tables. Data quality: 16 test cases across 5 tables (row counts on big sources; row count + uniqueness/not-null/range on curated/masked + historical), all passing. This populates OM's Data Quality dashboard (coverage, healthy assets, dimensions, test results).
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source:
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type: TestSuite
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serviceName: atc_data_quality
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sourceConfig:
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config:
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type: TestSuite
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entityFullyQualifiedName: "atc_trino.iceberg.curated_masked.employee_events_masked"
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processor:
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type: orm-test-runner
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config:
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testCases:
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- name: employee_events_masked_has_rows
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testDefinitionName: tableRowCountToBeBetween
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parameterValues:
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- name: minValue
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value: "1"
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- name: maxValue
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value: "100000000"
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- name: employee_events_masked_event_id_unique
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columnName: event_id
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testDefinitionName: columnValuesToBeUnique
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- name: employee_events_masked_event_id_not_null
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columnName: event_id
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testDefinitionName: columnValuesToBeNotNull
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- name: employee_events_masked_email_not_null
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columnName: employee_email_masked
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testDefinitionName: columnValuesToBeNotNull
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- name: employee_events_masked_natid_not_null
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columnName: national_id_masked
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testDefinitionName: columnValuesToBeNotNull
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sink:
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type: metadata-rest
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config: {}
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workflowConfig:
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openMetadataServerConfig:
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hostPort: http://openmetadata-server:8585/api
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authProvider: openmetadata
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securityConfig:
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jwtToken: "__JWT__"
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