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For structured data add ability to skip schemas matching criterion.
Slightly different than filtering for unstructured events: * For unstructured, filtering is implemented in `Transform` by filtering matching entities from events. It's executed for each entity, for each event. * For structured, filtering is implemented in `NonAtomicFields.resolveTypes`. Resolving types is executed once per batch of events, so it's more efficient than doing it for each event in `Transform`. We can't use this approach for unstructured events because we don't have the step of resolving types.
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14 changes: 14 additions & 0 deletions
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...common/src/test/resources/iglu-client-embedded/schemas/myvendor/myschema/jsonschema/9-0-0
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Original file line number | Diff line number | Diff line change |
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{ | ||
"$schema": "http://iglucentral.com/schemas/com.snowplowanalytics.self-desc/schema/jsonschema/1-0-0#", | ||
"self": { | ||
"vendor": "myvendor", | ||
"name": "myschema", | ||
"format": "jsonschema", | ||
"version": "9-0-0" | ||
}, | ||
"type": "object", | ||
"properties": { | ||
"col_z": {"type": "string"} | ||
}, | ||
"required": ["col_z"] | ||
} |
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