mo
21af36a591
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).
29 lines
759 B
YAML
29 lines
759 B
YAML
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_postgres.postgres.public.sales_orders"
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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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# Cheap row-count check only: this is the 53M-row live CDC source table.
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- name: sales_orders_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: "10000000000"
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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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