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* Updated generate_docs_schema * Updated generate_docs_schema * Updated generate_docs_schema * applied generate_docs_schema script * Revert the changes in this file --------- Co-authored-by: Tarun <tarun.p@deuexsolutions.com> Co-authored-by: Prajwal214 <167504578+Prajwal214@users.noreply.github.com>
2.6 KiB
2.6 KiB
| title | slug |
|---|---|
| databaseServiceAutoClassificationPipeline | /main-concepts/metadata-standard/schemas/metadataingestion/databaseserviceautoclassificationpipeline |
DatabaseServiceAutoClassificationPipeline
DatabaseService AutoClassification & Auto Classification Pipeline Configuration.
Properties
type: Pipeline type. Refer to #/definitions/autoClassificationConfigType. Default:"AutoClassification".classificationFilterPattern: Regex to only compute metrics for table that matches the given tag, tiers, gloassary pattern. Refer to ../type/filterPattern.json#/definitions/filterPattern.schemaFilterPattern: Regex to only fetch tables or databases that matches the pattern. Refer to ../type/filterPattern.json#/definitions/filterPattern.tableFilterPattern: Regex exclude tables or databases that matches the pattern. Refer to ../type/filterPattern.json#/definitions/filterPattern.databaseFilterPattern: Regex to only fetch databases that matches the pattern. Refer to ../type/filterPattern.json#/definitions/filterPattern.includeViews(boolean): Optional configuration to turn off fetching metadata for views. Default:true.useFqnForFiltering(boolean): Regex will be applied on fully qualified name (e.g service_name.db_name.schema_name.table_name) instead of raw name (e.g. table_name). Default:false.storeSampleData(boolean): Option to turn on/off storing sample data. If enabled, we will ingest sample data for each table. Default:true.enableAutoClassification(boolean): Optional configuration to automatically tag columns that might contain sensitive information. Default:false.confidence(number): Set the Confidence value for which you want the column to be tagged as PII. Confidence value ranges from 0 to 100. A higher number will yield less false positives but more false negatives. A lower number will yield more false positives but less false negatives. Default:80.sampleDataCount(integer): Number of sample rows to ingest when 'Generate Sample Data' is enabled. Default:50.
Definitions
autoClassificationConfigType(string): Profiler Source Config Pipeline type. Must be one of:["AutoClassification"]. Default:"AutoClassification".
Documentation file automatically generated at 2025-01-15 09:05:25.266839+00:00.